{"chunks":60,"id":"t017","last_seq":59,"rows":[{"i":0,"kind":"meta","long":false,"text":"Reading additional input from stdin...\nOpenAI Codex v0.155.1\n--------\nworkdir: C:\\Users\\Owner\\wsp31_loop\\work\\gpt\nmodel: gpt-6-astra\nprovider: openai\napproval: never\nsandbox: danger-full-access\nreasoning effort: high\nreasoning summaries: concise\nsession id: 01a1dcb3-8fa6-7590-af55-229d0284358e\n--------"},{"i":1,"kind":"user","long":false,"text":"You are author 'gpt' in the wsp31 weight-editing programme. This is turn 17. Your full instructions are in a brief on host wrx90. First run: ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/BRIEF.md' and follow it exactly, working as author 'gpt' (your directory is /home/keith/gemma-v2/wsp31/authors/gpt/). The results of your last round, and every other author's entries and results, are in /home/keith/gemma-v2/wsp31/authors/gpt/RESULTS.md on wrx90: read it before you decide anything. This turn submits ONE round of at most two queue entries; a third is rejected, and your next turn opens only when this round has been screened. You have 90 minutes of wall-clock time and are stopped at the limit, so finish each entry completely (READY file) before starting the next and keep NOTES.md current as you go. Work autonomously: nobody will answer questions during the turn. NOTE: GPU 0 is busy right now screening batch kh001 (it holds wsp31/gpu0.lock; a wrapper hold waits until it ends, which may take an hour or more). Do your CPU work first. If your GPU hold has not started 30 minutes before your time limit, skip the GPU step, say in the record which pre-test was not run and why, and still finish the entry; the checker (CPU) must always pass."},{"i":2,"kind":"assistant","long":false,"text":"I\u2019ll read the brief and results on wrx90, then do the CPU work first. I\u2019ll finish each entry before starting another and keep NOTES.md current."},{"i":3,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/BRIEF.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":4,"kind":"output","long":true,"text":" succeeded in 493ms:\n# wsp31 author brief (read fully at the start of every turn)\n\nYou are one of three authors (claude, gpt, gemini) taking turns. Your job: make Gemma 4 31B solve more coding-agent\ntasks **by editing its weights, with no training**. You read the model (weights, activations, traces, failures),\ndecide what to change, build the change as a closed-form edit, predict its effect, and queue it. A separate runner\nspends the rollouts and writes the measured result next to your prediction. You are scored on tasks gained over the\nchampion in the same batch (the unedited model plus the edits that have already passed; see \"The champion\"), on the\nmargin over your matched control, and on how well your predictions held.\n\n**Be bold.** Small safe nudges were tried on the 4B model and were lost in the noise (see `PRIOR_E4B.md`). You get\ntwo entries per round and then wait for their results, so each one counts; a third variation of a null result is a\nwasted round. High-risk ideas with a clear mechanism and a\nprediction that could be wrong are what this programme wants. Say what would prove you wrong.\n\n## Where you work\n\n- Everything happens on host `wrx90`, reached with `ssh -o BatchMode=yes wrx90 ''`. Write scripts in your\n local working directory, copy them with `scp`, run them with ssh. Keep ssh output small (`tail`, `cut`, `head`).\n- Root: `/home/keith/gemma-v2` (below: `$R`). Python: `$R/tii-venv/bin/python` (torch, transformers, vLLM 0.19.1,\n[... 217 lines cut ...]\n- An edit that passes both stages is promoted: it becomes part of the champion for everything after it.\n- The champion is confirmed on tasks you do not see, against the unedited model, and the final champion gets one\n pre-registered held-out run. A changed edit is a new edit.\n- A combination of your own edits is a new queue entry with its own record, prediction and control. Combining with\n edits that already passed needs nothing from you: that is what the champion does.\n\nSingle-run agent evaluations are noisy by several tasks. An edit worth having shows up as ten or more tasks.\nAim there."},{"i":5,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md; cat /home/keith/gemma-v2/wsp31/authors/gpt/RESULTS.md; cat /home/keith/gemma-v2/wsp31/queue/STATUS.md; cat /home/keith/gemma-v2/wsp31/queue/CHAMPION.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":6,"kind":"output","long":true,"text":" succeeded in 344ms:\n# Author gpt - turn 13 COMPLETE: one resubmission and one new READY\n\nStarted 2026-11-14 19:22 UTC; finished 2026-11-14T20:33:38.666360+00:00; before 20:52 deadline. Champion generation 0. Exactly two round entries; do not submit a third. All own pre-test jobs stopped, zero GPU use, scratch 4.880 GB. Full receipt: code/turn13/turn_receipt.json.\n\nQueued unchanged: 0027 code-reader-damp-r4-033 (0.330005%, 300 reader matrices, rank 4). RESUBMIT at 19:54 UTC was ingested as queued_s1. Source/frozen hashes and checkers verified. READY, old record, weights unchanged. Prediction -8 to +14 remains the original frozen prediction.\n\nNew: code-reader-damp-r4-066, READY. Size 0.660011% over 300 q/k/v/gate/up matrices, largest 0.717253%. Same six-task code/prose reader directions and matched orthogonal random control as 0027. Both arms are exactly twice their source stored updates; A unchanged, B doubled. Both checkers pass and rebuild config/weights/metadata byte for byte. Max per-matrix control norm mismatch 0.08347%. Prediction -5 to +9; fewer string-match errors and wrong finished patches, no >15% thought/call shift. Readers differ from null writer-only 0025/0026.\n\n[line removed by the dashboard scrubber]\n\nDeclined scouts, never READY: pooled-outcome-rotation-033 (120 writers, exact ideal norm/prompt-syntax-mean protection) failed close guard, mean -0.1655 on four calls; reserved-pair alignment near zero. reader100 failed the preset distribution limit: KL 0.15419 on 180 points implied minimum final mean 0.11760, above 0.1. Its syntax/closes passed; do not call this measured rollout harm. Chose 0.66% adaptively. Both declined scouts and receipts remain in scratch/turn13 and the new record.\n\n[line removed by the dashboard scrubber]\n# Results for author gpt (2026-11-14 19:55:13 EST)\n\nWritten by the runner as your turn opens. \"New\" means scored since your last turn started (2026-11-14 14:22:18 EST). The full result text of every entry is in its ledger record (`tii-wsp31-doc/research/wsp31/ledger/-*.md`, index `LEDGER.md` next to that directory); the live queue is `wsp31/queue/STATUS.md`.\n\n## Your new results\n\n[... 229 lines cut ...]\n\nEvery batch scores an entry against this base: the reference arm is the champion and your edit and control are served as champion + your adapter (exact sum, `wsp31/tools/stack_exact.py`). Your entry is still only your own change (rank 32 or less). An edit that passes both screening stages becomes the next generation.\n\n| generation | what | ledger | author | screening gain over the generation before (both stages) | rank |\n|---|---|---|---|---|---|\n| 1 | generation 0 + Instruction vector, think briefly: an always-on neuron per layer writes the stream shift of a 'keep your thinking short' paragraph (dose 2) | 0031 | claude | +18.5 | 1 |\n\nScreening gains are not added up. The gain of a champion over the unedited model is measured by its own confirmation run."},{"i":7,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"rg -n \\\"wsp31|wrx90\\\" C:\\\\Users\\\\Owner\\\\.codex\\\\memories\\\\MEMORY.md\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":8,"kind":"output","long":true,"text":" succeeded in 156ms:\n57:- RTXSim, /home/keith/rtxsim, wrx90, calibration-flow, native_cycles, trace compression, W4, 512 MiB, 2 GiB, RTXSIM_CUDA_INCLUDE, CalibrationRequired, A/B confidence interval, unsupported instructions, replay_calibration_flow.py, 82565b4c3ad2aff437495781c42d3934f5eb0ce0, 42520282752\n69:- Clean-container compilation must use configured toolkit headers through `RTXSIM_CUDA_INCLUDE`, rather than deriving a CUDA include path from wrx90. Replay with `CUDA_VISIBLE_DEVICES= python3 tools/replay_calibration_flow.py evidence/cpu/2026-11-08-calibration-flow/catalog.json work/new-flow-replay`. [Task 1]\n75:- symptom: clean-container CI cannot find `cuda.h` -> cause: `build_calibration_bundle.py` derives headers from a host-specific wrx90 path -> fix: use `RTXSIM_CUDA_INCLUDE` or configured toolkit include paths. [Task 1]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n783:applies_to: cwd=WRX90 remote-cleanup family (including C:\\Users\\Owner\\Documents\\Codex\\2026-09-12\\ne and C:\\Users\\Owner\\Documents\\Codex\\2026-11-06\\please-delete-these-folders-on-wrx90); reuse_rule=reuse the approval, preservation, live-reference, scheduled-restart, and verification gates for comparable WRX90 cleanup, but re-audit current host state, protected workloads, mounts, restart mechanisms, and exact targets before any deletion\n789:- rollout_summaries/2026-09-12T15-39-04-84cj-wrx90_disk_audit_and_verified_cleanup.md (cwd=\\\\?\\C:\\Users\\Owner\\Documents\\Codex\\2026-09-12\\ne, rollout_path=C:\\Users\\Owner\\.codex\\sessions\\2026\\09\\12\\rollout-2026-09-12T11-39-04-01a09645-b096-7c70-b6c5-4a34b8305bdb.jsonl, updated_at=2026-09-12T16:09:25+00:00, thread_id=01a09645-b096-7c70-b6c5-4a34b8305bdb, read-only until approval)\n793:- WRX90, wrx90-blackwell, disk-audit, WD_BLACK SN8100, 99% full, workstation-runs, Docker mounts, /tmp tmpfs, nvidia-smi driver/library mismatch\n799:- rollout_summaries/2026-09-12T15-39-04-84cj-wrx90_disk_audit_and_verified_cleanup.md (cwd=\\\\?\\C:\\Users\\Owner\\Documents\\Codex\\2026-09-12\\ne, rollout_path=C:\\Users\\Owner\\.codex\\sessions\\2026\\09\\12\\rollout-2026-09-12T11-39-04-01a09645-b096-7c70-b6c5-4a34b8305bdb.jsonl, updated_at=2026-09-12T16:09:25+00:00, thread_id=01a09645-b096-7c70-b6c5-4a34b8305bdb, 40 targets; 1,011.1 GiB net gain)\n803:- wrx90-cleanup-20260912, runtime-sources.tar.gz, SHA-256, /home/keith/vast-backups/instance-50098689-20260910, .cache/pip, Docker build cache, DeletedCount=40, ProtectedRunEntries=665\n809:- rollout_summaries/2026-09-12T15-39-04-84cj-wrx90_disk_audit_and_verified_cleanup.md (cwd=\\\\?\\C:\\Users\\Owner\\Documents\\Codex\\2026-09-12\\ne, rollout_path=C:\\Users\\Owner\\.codex\\sessions\\2026\\09\\12\\rollout-2026-09-12T11-39-04-01a09645-b096-7c70-b6c5-4a34b8305bdb.jsonl, updated_at=2026-09-12T16:09:25+00:00, thread_id=01a09645-b096-7c70-b6c5-4a34b8305bdb, 43 targets; worktree/source state preserved)\n819:- rollout_summaries/2026-11-06T14-44-42-ncSR-delete_wrx90_folders_with_verification.md (cwd=\\\\?\\C:\\Users\\Owner\\Documents\\Codex\\2026-11-06\\please-delete-these-folders-on-wrx90, rollout_path=\\\\?\\C:\\Users\\Owner\\.codex\\sessions\\2026\\11\\06\\rollout-2026-11-06T09-44-42-01a1b151-adf6-7600-8cef-215476593e21.jsonl, updated_at=2026-11-06T14:48:42+00:00, thread_id=01a1b151-adf6-7600-8cef-215476593e21, six requested paths removed after watchdog/cron remediation)\n823:- WRX90, wrx90-blackwell, /home/keith/arc2_rl, RL watchdog, failsafe lock, crontab, /proc, Docker mounts, device/inode, deletion-receipt.jsonl, finish-receipt.jsonl\n825:- Related skill: skills/wrx90-approved-cleanup/SKILL.md\n834:- `wrx90` resolves to `wrx90-blackwell` through the configured dedicated-identity SSH alias. On this host, direct SSH one-liners or Base64-encoded bounded scripts avoid PowerShell-to-Bash heredoc CRLF/BOM quoting failures. [Task 1]\n838:- The 509.10 GiB latent-bridge datasets were identified but not deleted. Post-round-two state was about 1,328.6 GiB available and 62% disk use; re\n[... 849 characters cut ...]"},{"i":9,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/LEDGER.md; cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/PRIOR_E4B.md; cat /home/keith/gemma-v2/tii-wsp31-doc/reports/2026-11-12-weight-editing-survey.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":10,"kind":"output","long":true,"text":" succeeded in 356ms:\n# Ledger index (generated by tools/ledger.py index; do not edit by hand)\n\nRead this before proposing anything. A row marked `null` or `harmful` is not to be retried unless the new\nrecord says what is different and why that difference should matter.\n\n| id | date | author | track | title | set / batch | status | verdict | result |\n|---|---|---|---|---|---|---|---|---|\n| [0001](ledger/0001-claude-unedited-baseline-noise-floor.md) | 2026-11-12 | claude | baseline | Unedited 31B on the screening set, two passes (base rate and identical-arm noise) | wsp31_screen_v1 / s1_base | done | inconclusive | stopped at 59 of 720 episodes; 54% ended at the session limit at concurrency 16 |\n| [0002](ledger/0002-claude-state-of-the-art-survey.md) | 2026-11-12 | claude | survey | Survey of training-free weight editing to November 2026, with 20 ranked edit ideas for 31B | - / - | done | n/a | reports/2026-11-12-weight-editing-survey.md |\n| [0003](ledger/0003-claude-identical-arms-batch-noise-floor.md) | 2026-11-12 | claude | baseline | Three identical-weight arms in one batch (base rate, noise floor, adapter-path check, runner shakedown) | wsp31_screen_v1 / b001 | done | n/a | base 60, aa 60, zero 65 of 120; d 11.3 tasks per identical pair; bars +3 / -6 / +4 / +5 / +10 / -10 |\n| [0004](ledger/0004-claude-size-of-real-training-updates.md) | 2026-11-12 | claude | baseline | How far real training moves the weights (size reference for edits) | - / - | done | n/a | research/wsp31/tools/train_size.py (numbers below) |\n| [0005](ledger/0005-claude-tools-lane-edit-toolchain.md) | 2026-11-12 | claude | tools | Tools lane (31B edit toolchain: exact loader and forward pass, LoRA builders, checker, pre-tests, champion support) | wsp31_screen_v1 / - | running | - | research/wsp31/edit_tools/REPORT.md |\n| [0006](ledger/0006-claude-interp-lane-readers-failure-modes-directions.md) | 2026-11-12 | claude | interp | Interpretability lane (can LLMs read the weights; failure modes; per-layer directions for training-sized edits) | wsp31_screen_v1 / - | running | - | research/wsp31/interp/REPORT.md |\n| [0007](ledger/0007-claude-deep-gate-b01-end-neurons-x9.md) | 2026-11-12 | claude | edit | Deep-thought gate (dose 0.1) plus the model s own end-of-thought neurons at 9 times their write | wsp31_screen_v1 / x005 | done | null | stage 1: +0.0 of 120 tasks |\n| [0008](ledger/0008-claude-deep-thought-gate-g3-b03.md) | 2026-11-12 | claude | edit | Deep-thought gate: one neuron per layer 30-48 detects depth >= 800 inside a thought and writes the end-of-thought state (dose 0.3) | wsp31_screen_v1 / b002 | done | harmful | stage 1: -10.0 of 120 tasks |\n[line removed by the dashboard scrubber]\n| [0010](ledger/0010-claude-early-gate-b01-end-neurons-x9.md) | 2026-11-12 | claude | edit | Early deep-thought gate (fitted on depth >= 400, dose 0.1) plus own end-of-thought neurons x9: the strong dose of the gated family | wsp31_screen_v1 / - | parked | - | - |\n| [0011](ledger/0011-gpt-writer-close-amplify-033.md) | 2026-11-12 | gpt | edit | Amplify natural thought-ending writes across all layers at 0.33 percent | wsp31_screen_v1 / b002 | done | harmful | stage 1: -10.0 of 120 tasks |\n| [0012](ledger/0012-gpt-writer-close-amplify-050.md) | 2026-11-12 | gpt | edit | Amplify natural thought-ending writes across all layers at 0.50 percent | wsp31_screen_v1 / b003 | done | harmful | stage 1: -21.0 of 120 tasks |\n[... 379 lines cut ...]\n- NLA checkpoint list (Neuronpedia page truncated); Gemma 4 NLA is **UNVERIFIED / not found**.\n- Parametric Skills numeric results (abstract has none; the 6.44 figure is aggregator-only, **UNVERIFIED**).\n- \"The Path Not Taken\" (2511.08567) and OpenAI weight-sparse transformers (2511.13653): details from search results, abstracts not opened directly (**UNVERIFIED** specifics).\n- Gemma 4 31B SWE-bench Verified base score (~63, secondary blog, **UNVERIFIED**). The Gemma 4 technical report (arXiv 2607.02770) was not opened directly.\n- Community Ge\n[... 484 characters cut ...]"},{"i":11,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/PRIOR_E4B.md; sed -n \\\"1,100p\\\" /home/keith/gemma-v2/tii-wsp31-doc/reports/2026-11-12-weight-editing-survey.md; cat /home/keith/gemma-v2/wsp31/tools/TOOLS.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":12,"kind":"output","long":true,"text":" succeeded in 322ms:\n# What was already tried on Gemma 4 E4B (paper track, 4-12 Nov 2026)\n\nThese are training-free weight edits on the small model, written by Claude, GPT and Gemini, measured on 170\n[line removed by the dashboard scrubber]\nonly for 31B) and on 130 held-out tasks. Sources: the private paper repository (`gemma-weight-programming`), its\nexperiment log and result files. Counts are tasks solved of 170 unless stated; \"vs\" is the same-batch unedited arm.\n\nNone of these results transfers to 31B automatically. They are listed so that a 31B attempt of the same kind is made\non purpose, with a reason, and not by accident.\n\n## Method that was used\n\nA frontier LLM diagnosed failures from logged agent decisions, located a direction in the residual stream (difference\nof means between decision classes), compiled it into a closed-form MLP edit (always-on, or gated by a \"quiet neuron\"\nthat fires only under a condition such as \"no file edited yet\"), wrote a prediction, and tested against a\nnorm-matched random control.\n\n## What moved behaviour\n\n[... 451 lines cut ...]\n\n[line removed by the dashboard scrubber]\n- Activation atlas and its views; `--champion` runs of `dose.py`, `validate.py`, `closeprobe.py`, `vgen.py`.\n- Any single entry beyond rank 32 per matrix, and edits of norms, `layer_scalar` or embeddings (`overlay.py` exists\n as code, has not been served, and the runner does not accept it).\n- A probe verdict that predicts rollout outcome: the registered ranking test failed on four edits (section 5).\n\n**Handling truncated tool output**"},{"i":13,"kind":"assistant","long":false,"text":"The 0.33% reader edit was null; the 0.66% edit lost 12 tasks and doubled empty patches. I\u2019m ending that family. The brief now allows both the unedited base and 0031, so I\u2019m looking for a different mechanism and checking the available CPU probes."},{"i":14,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'head -100 /home/keith/gemma-v2/wsp31/tools/TOOLS.md; cat /home/keith/gemma-v2/wsp31/tools/ARCH.md; head -130 /home/keith/gemma-v2/wsp31/interp/REPORT.md; find /home/keith/gemma-v2/wsp31/authors/gpt/code -maxdepth 2 -type f'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":15,"kind":"output","long":true,"text":" succeeded in 627ms:\n# wsp31 tools for edit authors\n\nChangelog (newest first; times US Eastern):\n- Fri 13 Nov, 3:51 PM: **three of the first four edits were harmful (-10 to -21 tasks): read \"Before you submit\"\n (section 5) first.** GPU 0 for pre-tests only while an author turn is open (section 3). New `delimprobe.py`.\n[line removed by the dashboard scrubber]\n 12:39 AM speed (trap 12): **the server's rank limit sets the price of an adapter**.\n- Thu 12 Nov: 11:40 PM first served runs of `dose.py`, `validate.py`, `vgen.py`, `closeprobe.py`; 10:55 PM stacks\n of rank 34 to 96 applied as written; 10:30 PM **thought-end pre-tests need exact contexts**, rank limits 64 or 128\n (never 96); 10:00 PM champion support, network-wide builders; 8:36 PM first version. Earlier commands all still work.\n\nEverything here lives in `$R/wsp31/tools` (below `$T`; `$R = /home/keith/gemma-v2`). Each entry ends with\n**Verified by** (a measurement that was made) or **NOT VERIFIED YET** (written, first real run still queued; use it,\nbut do not build a claim on its numbers alone). Architecture facts are in `$T/ARCH.md` (read \"Consequences for\nweight edits\" there before designing an edit); measurements with commands are in `$T/REPORT.md`.\n\n . /home/keith/gemma-v2/env.sh; T=$R/wsp31/tools\n export WSP31_WORK=$R/wsp31/authors//scratch # caches and server logs of the tools go here, not into $T\n\n[... 599 lines cut ...]\n/home/keith/gemma-v2/wsp31/authors/gpt/code/finish_record.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/inspect_turn13.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/combo_guard.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/cancel_optional.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/capture_job.sh\n\n**Exploring novel quantization corrections**\n**Checking existing CPU scripts**"},{"i":16,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'sed -n \\\"20,72p\\\" /home/keith/gemma-v2/wsp31/interp/REPORT.md; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn13/replay_cpu.py; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn13/rotation.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":17,"kind":"output","long":true,"text":" succeeded in 369ms:\n[line removed by the dashboard scrubber]\n 7,778, 6,456, 8,072 (corrected rows: two tasks that ran in a wrong image were rerun, ledger record 0046).\n - **The five predictions (L1 to L5), scored by `dirs/score_5o.py` as fixed before the batch closed.** L1, fewer\n cut-offs in paired tasks against all three other arms: removed 49 and added 17 against base, 44 and 15 against\n[line removed by the dashboard scrubber]\n episode: fewer in 145, 150 and 159 of 218 tasks, more in 44, 38 and 28: HIT. L3, cut-offs under 0.633 of the\n unedited mean: 54 against 84.5 is 0.639: MISS, by one cut-off (53, the count before the rerun, would have hit). L4, the runner's verdict is\n not \"pass\": null, HIT. L5, score under +10.5 and no paired gain in solved tasks: +2.5; gained 16 and lost 20\n against base (p 0.62), 19 and 10 against the identical-weights arm (p 0.14): HIT. These five were registered\n after stage 1 of 0032 and stage 2 of 0031 (the same vector at dose 2) had been read, so they predict a repeat;\n they are easier than the predictions of amendment 5 (2 of 6 mechanism hits) and are counted apart from them.\n - **L3: a hit on the rows at close, a miss on the corrected rows; the miss is the verdict (9:26 AM ET, Sat 14 Nov 2026).** Two tasks\n of this batch ran in a wrong image and were rerun. At close the edit arm had 53 cut-offs (ratio 0.627); in the\n rerun one of the two tasks is cut off in the edit arm as well, which makes 54 and 0.639. That the corrected rows\n decide was written into PROTOCOL before the rerun ran. What it means: the bar was the ratio of dose 2 in b008,\n so L3 said dose 4 removes a larger share of cut-offs than dose 2 did. It does not: 0.633 (0.637 on the corrected\n rows of b008) at dose 2 and 0.639 at dose 4. The share of cut-offs removed is the same at both doses.\n - **Dose.** Dose 2 (0031, batch b008, the same 218 tasks) and dose 4 solved the same number, 123. Cut-offs fell to\n[line removed by the dashboard scrubber]\n[... 145 lines cut ...]\n e.save(str(out/'edit'),note=note|{'control':False});c.save(str(out/'ctrl'),note=note|{'control':True})\n (out/'geometry.json').write_text(json.dumps(diag,indent=2));print('BUILT',out,'dose',dose,'angle_minmax',min(d['angle_radians'] for d in diag),max(d['angle_radians'] for d in diag),flush=True)\nif __name__=='__main__':\n ap=argparse.ArgumentParser();ap.add_argument('op',choices=['fit','build']);ap.add_argument('--out');ap.add_argument('--dose',type=float);a=ap.parse_args()\n if a.op=='fit':fit()\n else:build(a.out,a.dose)\n\n**Searching for top block command**"},{"i":18,"kind":"tool","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":19,"kind":"output","long":true,"text":" succeeded in 329ms:\nbash: line 1: CPU: command not found\nbash: line 1: seconds: command not found\nbash: line 1: flip: command not found\nimport math\nimport torch\ndef gelu_tanh(x):\n return .5*x*(1+torch.tanh(math.sqrt(2/math.pi)*(x+.044715*x**3)))\ndef clipdiv(d,wp,q=.05):\n return torch.where(wp.abs()>=torch.quantile(wp.abs().float(),q),d/wp,torch.zeros_like(d))\ndef signflip(d,seed):\n g=torch.Generator().manual_seed(seed)\n return d*(torch.randint(0,2,d.shape,generator=g)*2-1).float()\n\"\"\"Paired-outcome writer transport. Closed-form ridge/SVD; no optimizer.\"\"\"\nimport json,sys,time,hashlib,argparse,os\nfrom pathlib import Path\nimport torch\nC=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn10';T=C/'tools'\nsys.path.insert(0,str(T));import g31\nfrom edits import EditSet\n[... 137 lines cut ...]\n start=time.time();(S/'hold1_started.json').write_text(json.dumps({'start':start,'pid':os.getpid(),'limit':1620}))\n m=g31.G31();log('MODEL');data=capture(m);maps=fit(data)\n paths={}\n for nm,dose,ctrl in [('E033',.0033,False),('E100',.01,False),('E300',.03,False),('C100',.01,True)]:\n paths[nm]=S/'scouts'/nm;build(maps,paths[nm],dose,ctrl,m=m)\n evaluate(m,paths,start+1530)\n (S/'hold1_finished.json').write_text(json.dumps({'start':start,'end':time.time(),'seconds':time.time()-start}))\nif __name__=='__main__':main()"},{"i":20,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"Get-ChildItem -Name; ssh -o BatchMode=yes wrx90 'free -g; du -sh /home/keith/gemma-v2/wsp31/authors/gpt/scratch; find /home/keith/gemma-v2/wsp31/authors/claude/code -maxdepth 1 -type f | tail -25; find /home/keith/gemma-v2/wsp31/authors/gpt/code/turn13/tools -maxdepth 1 -name \\\"g31*\\\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":21,"kind":"output","long":true,"text":" succeeded in 372ms:\nturn10\nturn13\nturn4\nturn7\nafter_capture.sh\naudit_boundary.py\naudit_snapshot.py\nauthor_capture.py\nboundary_probe.py\nbuild_combo.py\nbuild_overlap.sh\nbuild_project.py\ncancel_optional.py\ncapture_job.sh\nclose033_record.json\nclose050_record.json\ncombo_candidates.txt\ncombo_guard.py\ncomplete_entry.py\n[... 53 lines cut ...]\n/home/keith/gemma-v2/wsp31/authors/claude/code/mk_eval.py\n/home/keith/gemma-v2/wsp31/authors/claude/code/net_report.py\n/home/keith/gemma-v2/wsp31/authors/claude/code/gpu_hold6b.sh\n/home/keith/gemma-v2/wsp31/authors/claude/code/fcv2_build.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/turn13/tools/g31.py\n\n**Optimizing spectral damping for signal clarity**\n**Analyzing attention sink through BOS projection**"},{"i":22,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn13/tools/netops.py; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/ground_cpu.py; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/build_ground.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":23,"kind":"output","long":true,"text":" succeeded in 323ms:\n\"\"\"netops.py: network-wide operations of EditSet (edits.py), for edits of the size real training makes: many layers,\nreaders and writers, a few directions per matrix, 0.3% to 3% of the whole network. CPU only. Use through EditSet:\n\n e = EditSet()\n e.write_dir(range(60), D, alpha=1.0) # every o_proj and down_proj: dW = alpha * P W (P projects on D)\n e.read_dir(range(60), D, alpha=1.0) # every q/k/v/gate/up_proj: dW = alpha * W P\n e.scale_to(per_matrix=1.0, net_rel=0.003) # every changed matrix the same relative size, whole network 0.3%\n c = EditSet(); c.write_dir(range(60), EditSet.rand_dirs(D, seed=0)); c.read_dir(...); c.match_sizes(e)\n e.net_rel(), e.sizes(), e.scale(0.5), e.control(\"orth\"), e.reduce(32)\n\nD is one direction [5376] or several [k, 5376] for all layers, or a dict {layer: tensor} or a function layer ->\ntensor for one direction set per layer (layers missing from a dict are skipped). The directions are orthonormalised;\nthe edit of a matrix has rank k. \"Whole network\" (net_rel) is sqrt(sum |dW|_F^2) / sqrt(sum |W|_F^2) over all 420\nentries of data/fro_norms.json, the same yardstick as train_size.py.\n\nTwo facts of the architecture decide what such an edit does (ARCH.md): (1) the output of o_proj and of down_proj\npasses through an RMS norm before it reaches the residual stream, so multiplying a whole writer by a constant does\nnothing; amplifying a direction changes the direction of the write, not its length. (2) readers see the stream after\nan RMS norm with a learned weight per coordinate, and those weights span 1e-6 to 1e3. space=\"module\" (default) takes\n[... 725 lines cut ...]\n e,rho=J.build_arm(st,'I1',a.dose,kind=='ctrl')\n e.save(str(out/kind),note={'author':'gpt','turn':7,'contrast':'source-grounding minus generic instruction',\n 'dose':a.dose,'control':kind=='ctrl','seed':710000,'rho':rho,\n 'stats_sha256':hashlib.sha256((P/'ground_stats.pt').read_bytes()).hexdigest()})\n print(kind,'net_rel',e.net_rel(),'matrices',len(e.sizes()),flush=True)\n\n**Analyzing quantization error compensation**\n**Planning spectral attenuation tests**"},{"i":24,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/ledger/0061-claude-wait-contrast-full.md; cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/ledger/0063-gpt-code-reader-damp-r4-066.md; head -80 /home/keith/gemma-v2/wsp31/tools/g31.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":25,"kind":"output","long":true,"text":" succeeded in 1281ms:\n---\nid: 0061\ndate: 2026-11-14\nauthor: claude\ntrack: edit\ntitle: 'Wait' contrast removed from every writer: no block output in any layer can prefer 'Wait' to the other words that open a sentence\nstatus: done\nset: wsp31_screen_v2\nbatch: b013\nverdict: null\nresult: stage 1: -2.5 of 120 tasks\n---\n\n## Hypothesis\n\nThe unedited agent restarts its own thoughts with one word. In the logged thoughts of the unedited arms `base` and `aa`\nof the stage-1 batches x004, x006 and x008 (720 episodes, budget `x2`; `code/wait_stats14.py`, `code/wait_pairs14.py`,\n`code/wait_lp14.py`):\n\n[... 356 lines cut ...]\n with open(os.path.join(model_dir, \"model.safetensors\"), \"rb\") as f:\n n = struct.unpack(\" /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/build_first.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":42,"kind":"output","long":true,"text":" succeeded in 306ms:\n2593519\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 105 lines cut ...]\n+ print('BUILT',out,flush=True)\n+if __name__=='__main__':\n+ ap=argparse.ArgumentParser();ap.add_argument('op',choices=['fit','build']);ap.add_argument('--base',choices=['unedited','0031'],required=True);ap.add_argument('--out');ap.add_argument('--dose',type=float);a=ap.parse_args()\n+ if a.op=='fit':fit(a.base)\n+ else:build(a.base,a.out,a.dose)\n\n**Analyzing test parameter adjustments**\n**Planning GPU workload sequencing**"},{"i":43,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/build_first.log; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn13/served.py; head -80 /home/keith/gemma-v2/wsp31/tools/vgen.py; head -50 /home/keith/gemma-v2/wsp31/interp/REPORT.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":44,"kind":"output","long":true,"text":" succeeded in 479ms:\nFIT unedited 0 2.9\nFIT unedited 5 18.7\n\"\"\"Greedy single-call continuations of logged stage-1 contexts. No tools execute.\"\"\"\nimport argparse,json,sys,time,hashlib,os,statistics,collections\nfrom pathlib import Path\nfrom concurrent.futures import ThreadPoolExecutor\nC=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn13';T=C/'tools'\nsys.path.insert(0,str(T));import g31,dose,vclient\ndef panel():\n fit=set(json.loads((C/'selection.json').read_text())['fit'])\n sets=A.parent.parent/'queue/sets';allow=set((sets/'stage1_ids.txt').read_text().split())\n deny=set().union(*[set(p.read_text().split()) for p in sets.glob('stage2_ids*.txt')])\n rs=[]\n for l in Path('/home/keith/gemma-v2/wsp31/tools/data/probe_calls_b001_full.jsonl').open():\n r=json.loads(l)\n if r['instance'] in fit or r['instance'] not in allow or r['instance'] in deny or r['call']<2:continue\n c=r['calls'][-1];comp=c['comp'];s=c['start']\n if 101 not in comp or 48 not in comp or 49 not in comp:continue\n ce=comp.index(101)\n[... 534 lines cut ...]\n+ e.scale(-1)\n+ e.save(str(out/'ctrl'),note=note|{'control':True,'control_type':'exact reversed update'})\n+ (out/'build_info.json').write_text(json.dumps(note,indent=2))\n+ print('BUILT',out,flush=True)\n+if __name__=='__main__':\n+ ap=argparse.ArgumentParser();ap.add_argument('op',choices=['fit','build']);ap.add_argument('--base',choices=['unedited','0031'],required=True);ap.add_argument('--out');ap.add_argument('--dose',type=float);a=ap.parse_args()\n+ if a.op=='fit':fit(a.base)\n+ else:build(a.base,a.out,a.dose)"},{"i":45,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/replay.py turn17/replay_first.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":46,"kind":"output","long":false,"text":" succeeded in 497ms:"},{"i":47,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/build_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":48,"kind":"output","long":true,"text":" succeeded in 325ms:\nFIT unedited 5 18.7\nFIT unedited 10 38.3\nFIT unedited 15 55.1\nFIT unedited 20 70.9\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n[... 452 lines cut ...]\n+ if isinstance(t,dict):\n[line removed by the dashboard scrubber]\n+ else:msgs=t\n+ print('MESSAGE_COUNT',len(msgs))\n+ for m in msgs[-8:]:print(json.dumps(m,ensure_ascii=False)[:1800])\n+report=(R/'wsp31/interp/REPORT.md').read_text().splitlines()\n+for j,l in enumerate(report):\n[line removed by the dashboard scrubber]"},{"i":49,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/trace_read.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":50,"kind":"output","long":false,"text":" succeeded in 561ms:"},{"i":51,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/trace_read.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":52,"kind":"output","long":true,"text":" succeeded in 356ms:\nFAILS base 35 [('[task]', 13, 557), ('Mimino666__langdetect.a1598f1a.lm_rewrite__dk9wx21q', 24, 2253), ('benoitc__gunicorn.bacbf8aa.func_basic__3napqcbj', 45, 1758), ('[task]', 27, 424), ('HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u', 18, 0)]\nTRACE base jd__tenacity.0d40e76f.combine_module__jua0momz type dict\n[line removed by the dashboard scrubber]\nMESSAGE_COUNT 65\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n{\"step_id\": 60, \"source\": \"agent\", \"message\": \"Yes, `self.next_action` exists in `RetryCallState`.\\n\\nSo I should update `BaseRetrying.iter` to be consistent with `AsyncRetrying.iter`.\\n\\n```python\\n def iter(self, retry_state: \\\"RetryCallState\\\") -> t.Union[DoAttempt, DoSleep, t.Any]: # noqa\\n if retry_state.next_action is None:\\n self._begin_iter(retry_state)\\n\\n while True:\\n action = self.iter_state.actions.pop(0) if self.iter_state.actions else None\\n if action is None:\\n return None\\n result = action(retry_state)\\n if result is not None:\\n return result\\n```\\n\\nLet's do this.\", \"model_name\": \"zero\", \"tool_calls\": [{\"tool_call_id\": \"call_173\", \"function_name\": \"edit_file\", \"arguments\": {\"filepath\": \"tenacity/__init__.py\", \"new_string\": \" def iter(self, retry_state: \\\"RetryCallState\\\") -> t.Union[DoAttempt, DoSleep, t.Any]: # noqa\\n if retry_state.next_action is None:\\n self._begin_iter(retry_state)\\n\\n while True:\\n action = self.iter_state.actions.pop(0) if self.iter_state.actions else None\\n if action is None:\\n return None\\n result = action(retry_state)\\n if result is not None:\\n return result\\n\", \"old_string\": \" def iter(self, retry_state: \\\"RetryCallState\\\") -> t.Union[DoAttempt, DoSleep, t.Any]: # noqa\\n self._begin_iter(retry_state)\\n result = None\\n for action in self.iter_state.actions:\\n result = action(retry_state)\\n return result\\n\"}, \"extra\": {\"elapsed_s\": 1734.8895087242126, \"timestamp\": 1794697480.9134676, \"author\": \"swe_developer_agent\", \"model_version\": \"zero\"}}], \"observation\": {\"content\": \"{\\\"status\\\":\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n{\"step_id\": 65, \"source\": \"agent\", \"message\": \"The `AsyncRetrying.__aiter__` method was incorrectly returning `None` instead of `self`, causing `async for` loops to fail with a `TypeError`. Additionally, the `iter` method in both `AsyncRetrying` and `BaseRetrying` was not correctly managing the action queue, leading to potential issues with retry state initialization and action execution.\\n\\nThe fix involves:\\n1. Updating `AsyncRetrying.__aiter__` to return `self`.\\n2. Refactoring `AsyncRetrying.iter` and `BaseRetrying.iter` to only call `_begin_iter` when `retry_state.next_action` is `None`, and implementing a `while` loop that pops actions from the queue and returns the first non-`None` result.\\n3. Ensuring `_add_action_func` uses `append` to maintain the correct order of actions.\\n\\nThese changes ensure that the retry loop correctly progresses through its states and that the async iterator behaves as expected.\", \"model_name\": \"zero\", \"llm_call_count\": 1, \"extra\": {\"event_type\": \"final\", \"elapsed_s\": 1824.196233034134, \"timestamp\": 1794697570.220192, \"author\": \"swe_developer_agent\"}}\nFAILS e0063 48 [('[task]', 10, 557), ('Mimino666__langdetect.a1598f1a.lm_rewrite__dk9wx21q', 26, 648), ('HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u', 31, 0), ('[task]', 35, 0), ('[task]', 41, 1203)]\nTRACE e0063 [task] type dict\n[line removed by the dashboard scrubber]\nMESSAGE_COUNT 47\n{\"step_id\": 40, \"source\": \"agent\", \"message\": \"Maybe it's not ca\n[... 3893 characters cut ...]"},{"i":53,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/build_first.log; sed -n \\\"451,478p\\\" /home/keith/gemma-v2/wsp31/interp/REPORT.md; cat /home/keith/gemma-v2/wsp31/tools/gpu0_session.sh | head -80'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":54,"kind":"output","long":true,"text":" succeeded in 496ms:\nFIT unedited 5 18.7\nFIT unedited 10 38.3\nFIT unedited 15 55.1\nFIT unedited 20 70.9\nFIT unedited 25 87.0\n measured for the push or for any queued edit.\n[line removed by the dashboard scrubber]\n for probability shifts.\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n- **Noise to keep in mind.** Three arms with identical weights solved 60, 60 and 65 of 120 in b001.\n[line removed by the dashboard scrubber]\n is registered (amendments 3o, 5h, 5i, 5j) and runs at the next free GPU 0 slot after b003 (about 1 PM ET);\n nothing of it has run on a GPU.\n- **A counting tool exists and is NOT VALIDATED. Do not rely on its numbers yet.** `wsp31/interp/flipcount.sh`\n[line removed by the dashboard scrubber]\n `flock /home/keith/gemma-v2/wsp31/gpu0.lock /home/keith/gemma-v2/wsp31/interp/flipcount.sh ADAPTER_DIR`\n (a GPU 0 hold of its own, no server up; estimated, not measured: about 4 minutes for one adapter and about 2\n[... 334 lines cut ...]\n\n**Optimizing resource selection timing**\n**Coordinating CPU and GPU scheduling**\n\nI'm figuring out how to manage CPU and GPU start times smartly, balancing waiting periods and early runs to avoid waste. I want to respect the user's timing expectations while optimizing resource use with periodic monitoring and opportunistic GPU requests once builders are ready.\n**Estimating GPU usage and edit timing**\n**Coordinating CPU and GPU task scheduling**\n**Completing CPU tasks**"},{"i":55,"kind":"assistant","long":false,"text":"The failed traces show both repeated checking and wrong repairs. That supports testing a change to shared reasoning patterns, but it does not establish that the leading weight directions cause those failures. The builder is running; the replay will compare 0.33%, 1%, and 3% edits with their reversed controls."},{"i":56,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/build_first.log; du -sh /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":57,"kind":"output","long":true,"text":" succeeded in 430ms:\nFIT unedited 5 18.7\nFIT unedited 10 38.3\nFIT unedited 15 55.1\nFIT unedited 20 70.9\nFIT unedited 25 87.0\nFIT unedited 30 107.7\nFIT unedited 35 124.6\nFIT unedited 40 139.5\n5.8G\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17\n277M\t/home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n[... 235 lines cut ...]\n+ print('MESSAGE_COUNT',len(msgs))\n+ for m in msgs[-8:]:print(json.dumps(m,ensure_ascii=False)[:1800])\n+report=(R/'wsp31/interp/REPORT.md').read_text().splitlines()\n+for j,l in enumerate(report):\n[line removed by the dashboard scrubber]\n\n**Reviewing copied tool files**\n**Assessing file types and snapshots**"},{"i":58,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'du -h --max-depth=2 /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools | sort -h | tail -12; tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/build_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":59,"kind":"output","long":true,"text":" succeeded in 362ms:\n5.3M\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters/mk\n21M\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters/cov\n59M\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters/pred\n60M\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters/net\n154M\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters/spd\n203M\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters/zero5\n234M\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters/zero7\n236M\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters/zero7g\n472M\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters/rank\n4.4G\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters/stk\n5.8G\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools\n5.8G\t/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters\nFIT unedited 10 38.3\nFIT unedited 15 55.1\nFIT unedited 20 70.9\nFIT unedited 25 87.0\nFIT unedited 30 107.7\nFIT unedited 35 124.6\nFIT unedited 40 139.5\n[... 509 lines cut ...]\n+import shutil,json,hashlib\n+from pathlib import Path\n+C=Path('/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17').resolve()\n+p=C/'tools/adapters';assert p.resolve().is_relative_to(C) and p.is_dir() and not p.is_symlink()\n+receipt={'removed_own_new_copy':str(p),'bytes':sum(f.stat().st_size for f in p.rglob('*') if f.is_file()),'reason':'tool example adapters are not builder inputs; only retain code snapshot'}\n+shutil.rmtree(p)\n+env=json.loads((C/'environment.json').read_text());env['tools']={str(p.relative_to(C/'tools')):hashlib.sha256(p.read_bytes()).hexdigest() for p in (C/'tools').rglob('*') if p.is_file() and '__pycache__' not in str(p)}\n+(C/'environment.json').write_text(json.dumps(env,indent=2));(C/'snapshot_trim.json').write_text(json.dumps(receipt,indent=2));print(receipt)"},{"i":60,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/trim_snapshot.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":61,"kind":"output","long":false,"text":" succeeded in 553ms:"},{"i":62,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/trim_snapshot.py; tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/build_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":63,"kind":"output","long":true,"text":" succeeded in 880ms:\n{'removed_own_new_copy': '/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tools/adapters', 'bytes': 6191680229, 'reason': 'tool example adapters are not builder inputs; only retain code snapshot'}\nFIT unedited 15 55.1\nFIT unedited 20 70.9\nFIT unedited 25 87.0\nFIT unedited 30 107.7\nFIT unedited 35 124.6\nFIT unedited 40 139.5\nFIT unedited 45 155.7\nFIT unedited 50 175.7\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n[... 248 lines cut ...]\n+p=C/'tools/adapters';assert p.resolve().is_relative_to(C) and p.is_dir() and not p.is_symlink()\n+receipt={'removed_own_new_copy':str(p),'bytes':sum(f.stat().st_size for f in p.rglob('*') if f.is_file()),'reason':'tool example adapters are not builder inputs; only retain code snapshot'}\n+shutil.rmtree(p)\n+env=json.loads((C/'environment.json').read_text());env['tools']={str(p.relative_to(C/'tools')):hashlib.sha256(p.read_bytes()).hexdigest() for p in (C/'tools').rglob('*') if p.is_file() and '__pycache__' not in str(p)}\n+(C/'environment.json').write_text(json.dumps(env,indent=2));(C/'snapshot_trim.json').write_text(json.dumps(receipt,indent=2));print(receipt)\n\n**Reviewing IP usage and spectral analysis approach**\n**Analyzing spectral covariance and reproducibility**"},{"i":64,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/build_first.log; ps -p 2593519 -o pid=,etime=,args='\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":65,"kind":"output","long":true,"text":" exited 1 in 317ms:\nFIT unedited 40 139.5\nFIT unedited 45 155.7\nFIT unedited 50 175.7\nFIT unedited 55 192.6\nFIT_DONE unedited 203.9 weighted_energy_mean 0.030668687203480285 residual_max 0.11689459532499313\nBUILT /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/u0.0033\nBUILT /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/u0.01\nBUILT /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/u0.03\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n[... 244 lines cut ...]\n+import shutil,json,hashlib\n+from pathlib import Path\n+C=Path('/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17').resolve()\n+p=C/'tools/adapters';assert p.resolve().is_relative_to(C) and p.is_dir() and not p.is_symlink()\n+receipt={'removed_own_new_copy':str(p),'bytes':sum(f.stat().st_size for f in p.rglob('*') if f.is_file()),'reason':'tool example adapters are not builder inputs; only retain code snapshot'}\n+shutil.rmtree(p)\n+env=json.loads((C/'environment.json').read_text());env['tools']={str(p.relative_to(C/'tools')):hashlib.sha256(p.read_bytes()).hexdigest() for p in (C/'tools').rglob('*') if p.is_file() and '__pycache__' not in str(p)}\n+(C/'environment.json').write_text(json.dumps(env,indent=2));(C/'snapshot_trim.json').write_text(json.dumps(receipt,indent=2));print(receipt)"},{"i":66,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/replay_first.sh > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/replay_first.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":67,"kind":"output","long":true,"text":" succeeded in 286ms:\n2635325\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 239 lines cut ...]\n+C=Path('/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17').resolve()\n+p=C/'tools/adapters';assert p.resolve().is_relative_to(C) and p.is_dir() and not p.is_symlink()\n+receipt={'removed_own_new_copy':str(p),'bytes':sum(f.stat().st_size for f in p.rglob('*') if f.is_file()),'reason':'tool example adapters are not builder inputs; only retain code snapshot'}\n+shutil.rmtree(p)\n+env=json.loads((C/'environment.json').read_text());env['tools']={str(p.relative_to(C/'tools')):hashlib.sha256(p.read_bytes()).hexdigest() for p in (C/'tools').rglob('*') if p.is_file() and '__pycache__' not in str(p)}\n+(C/'environment.json').write_text(json.dumps(env,indent=2));(C/'snapshot_trim.json').write_text(json.dumps(receipt,indent=2));print(receipt)\n\n**Planning CPU checks and diagnostics**"},{"i":68,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/tools/adapters.py | head -160; tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/replay_first.log; head -100 /home/keith/gemma-v2/wsp31/tools/train_size.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":69,"kind":"output","long":true,"text":" succeeded in 335ms:\n\"\"\"adapters.py: write and read LoRA adapters for Gemma 4 31B in the format vLLM serves (PEFT layout, bf16 tensors,\nlora_alpha = 2 r so that the served weight change is exactly dW = 2 * B @ A per module). Library used by the builders.\n\nA weight edit is given as {(layer, mod): (U [out, k], V [k, in])} meaning dW = U @ V (fp32 or fp64 tensors). save()\nstores B = U and A = V / 2, zero-padded to the adapter rank r. Only edited modules are written: vLLM treats absent\nmodules as unedited. Storage is bf16, so each factor is rounded to 8 significant bits; one-hot columns (e_j) are exact.\n\"\"\"\nimport json\nimport os\n\nimport torch\n\nR = \"/home/keith/gemma-v2\"\nMODEL_DIR = f\"{R}/models/gemma-4-31b-it-qat-w4a16-ct\"\nALL_MODS = (\"q_proj\", \"k_proj\", \"v_proj\", \"o_proj\", \"gate_proj\", \"up_proj\", \"down_proj\")\nTARGET_RE = (r\"^model\\.language_model\\.layers\\.\\d+\\.(self_attn\\.(q_proj|k_proj|v_proj|o_proj)\"\n r\"|mlp\\.(gate_proj|up_proj|down_proj))$\")\n\n\n[... 748 lines cut ...]\n+import shutil,json,hashlib\n+from pathlib import Path\n+C=Path('/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17').resolve()\n+p=C/'tools/adapters';assert p.resolve().is_relative_to(C) and p.is_dir() and not p.is_symlink()\n+receipt={'removed_own_new_copy':str(p),'bytes':sum(f.stat().st_size for f in p.rglob('*') if f.is_file()),'reason':'tool example adapters are not builder inputs; only retain code snapshot'}\n+shutil.rmtree(p)\n+env=json.loads((C/'environment.json').read_text());env['tools']={str(p.relative_to(C/'tools')):hashlib.sha256(p.read_bytes()).hexdigest() for p in (C/'tools').rglob('*') if p.is_file() and '__pycache__' not in str(p)}\n+(C/'environment.json').write_text(json.dumps(env,indent=2));(C/'snapshot_trim.json').write_text(json.dumps(receipt,indent=2));print(receipt)"},{"i":70,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/gpu_test.py turn17/gpu_locked.py turn17/gpu_wait.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":71,"kind":"output","long":false,"text":" succeeded in 475ms:"},{"i":72,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/gpu_wait.py > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/gpu.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":73,"kind":"output","long":true,"text":" succeeded in 349ms:\n2644444\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 687 lines cut ...]\n+import shutil,json,hashlib\n+from pathlib import Path\n+C=Path('/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17').resolve()\n+p=C/'tools/adapters';assert p.resolve().is_relative_to(C) and p.is_dir() and not p.is_symlink()\n+receipt={'removed_own_new_copy':str(p),'bytes':sum(f.stat().st_size for f in p.rglob('*') if f.is_file()),'reason':'tool example adapters are not builder inputs; only retain code snapshot'}\n+shutil.rmtree(p)\n+env=json.loads((C/'environment.json').read_text());env['tools']={str(p.relative_to(C/'tools')):hashlib.sha256(p.read_bytes()).hexdigest() for p in (C/'tools').rglob('*') if p.is_file() and '__pycache__' not in str(p)}\n+(C/'environment.json').write_text(json.dumps(env,indent=2));(C/'snapshot_trim.json').write_text(json.dumps(receipt,indent=2));print(receipt)"},{"i":74,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/preflight.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":75,"kind":"output","long":false,"text":" succeeded in 467ms:"},{"i":76,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/preflight.py > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/preflight.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":77,"kind":"output","long":true,"text":" succeeded in 318ms:\n2647716\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 353 lines cut ...]\n+env=json.loads((C/'environment.json').read_text());env['tools']={str(p.relative_to(C/'tools')):hashlib.sha256(p.read_bytes()).hexdigest() for p in (C/'tools').rglob('*') if p.is_file() and '__pycache__' not in str(p)}\n+(C/'environment.json').write_text(json.dumps(env,indent=2));(C/'snapshot_trim.json').write_text(json.dumps(receipt,indent=2));print(receipt)\n\n[line removed by the dashboard scrubber]\n**Evaluating request logs and training effects**\n\nI'm reviewing request logs for errors and successes in specific traces, checking resource usage limits, and analyzing training effects using spectral shrinkage on weight updates to understand model behavior better.\n**Reviewing experimental parameters**"},{"i":78,"kind":"assistant","long":false,"text":"The four selected modes account for about 3.1% of the writers\u2019 output-weighted energy on average. The numerical approximation is complete, and CPU replay is running. I\u2019ve also queued a bounded GPU request that will stop waiting at the required cutoff."},{"i":79,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -6 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/preflight.log; tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/replay_first.log; tail -3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/gpu.log; free -g'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":80,"kind":"output","long":true,"text":" succeeded in 326ms:\nPREFLIGHT u0.03 alpha [0.2457053411225216, 0.6390745363545294, 1.5051238371773699] edit {\"r\": 4, \"scale\": 2.0, \"changed\": 120, \"of\": 420, \"net_rel\": 0.03, \"rel_median\": 0.07682, \"rel_min\": 0.07674, \"rel_max\": 0.07693, \"rel_max_mod\": \"31.down_proj\", \"total_rel\": 0.07682, \"total_fro\": 61.87, \"stable_rank_median\": 1.607, \"part_rank_median\": 3.402}\n by type {'down_proj': 0.07682, 'o_proj': 0.07682}\n by depth (10-layer bands) [0.07682, 0.07683, 0.07682, 0.07684, 0.07682, 0.07682]\nctrl {\"r\": 4, \"scale\": 2.0, \"changed\": 120, \"of\": 420, \"net_rel\": 0.03, \"rel_median\": 0.07682, \"rel_min\": 0.07674, \"rel_max\": 0.07693, \"rel_max_mod\": \"31.down_proj\", \"total_rel\": 0.07682, \"total_fro\": 61.87, \"stable_rank_median\": 1.607, \"part_rank_median\": 3.402}\n by type {'down_proj': 0.07682, 'o_proj': 0.07682}\n by depth (10-layer bands) [0.07682, 0.07683, 0.07682, 0.07684, 0.07682, 0.07682]\nARM u0.03 0 edit 128.3 {\"all\": {\"n\": 54, \"flips\": 37, \"dlogp\": -5.981246245335098, \"kl\": 6.127742878333838, \"dclose\": 2.534943598288077, \"base_top_logged\": 54, \"top_logged\": 17}, \"thought\": {\"n\": 32, \"flips\": 17, \"dlogp\": -4.244909919216298, \"kl\": 4.4844880170421675, \"dclose\": 1.0920037031173706, \"base_top_logged\": 32, \"top_logged\": 15}, \"action\": {\"n\": 17, \"flips\": 15, \"dlogp\": -7.514117940383799, \"kl\": 7.53662569733227, \"dclose\": 6.4258662953096275, \"base_top_logged\": 17, \"top_logged\": 2}, \"syntax\": {\"n\": 3, \"flips\": 3, \"dlogp\": -12.264825503031412, \"kl\": 12.264581044514975, \"dclose\": -1.227065086364746, \"base_top_logged\": 3, \"top_logged\": 0}, \"close\": {\"n\": 1, \"flips\": 1, \"dlogp\": -16.00406837463379, \"kl\": 15.86651611328125, \"dclose\": -16.00406837463379, \"base_top_logged\": 1, \"top_logged\": 0}, \"think\": {\"n\": 1, \"flips\": 1, \"dlogp\": -6.611629962921143, \"kl\": 6.611602783203125, \"dclose\": 12.388372421264648, \"base_top_logged\": 1, \"top_logged\": 0}}\n total used free shared buff/cache available\nMem: 183 89 3 0 94 94\nSwap: 7 1 6\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n[... 359 lines cut ...]\n+p=C/'tools/adapters';assert p.resolve().is_relative_to(C) and p.is_dir() and not p.is_symlink()\n+receipt={'removed_own_new_copy':str(p),'bytes':sum(f.stat().st_size for f in p.rglob('*') if f.is_file()),'reason':'tool example adapters are not builder inputs; only retain code snapshot'}\n+shutil.rmtree(p)\n+env=json.loads((C/'environment.json').read_text());env['tools']={str(p.relative_to(C/'tools')):hashlib.sha256(p.read_bytes()).hexdigest() for p in (C/'tools').rglob('*') if p.is_file() and '__pycache__' not in str(p)}\n+(C/'environment.json').write_text(json.dumps(env,indent=2));(C/'snapshot_trim.json').write_text(json.dumps(receipt,indent=2));print(receipt)\n\n**Analyzing model behavior and testing parameters**\n**Reviewing pre-registration and control logic**"},{"i":81,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/replay_first.log; cat /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/u0.0033/size.json | tail -18; ls /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/gpu*json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":82,"kind":"output","long":true,"text":" succeeded in 386ms:\nARM u0.03 0 edit 128.3 {\"all\": {\"n\": 54, \"flips\": 37, \"dlogp\": -5.981246245335098, \"kl\": 6.127742878333838, \"dclose\": 2.534943598288077, \"base_top_logged\": 54, \"top_logged\": 17}, \"thought\": {\"n\": 32, \"flips\": 17, \"dlogp\": -4.244909919216298, \"kl\": 4.4844880170421675, \"dclose\": 1.0920037031173706, \"base_top_logged\": 32, \"top_logged\": 15}, \"action\": {\"n\": 17, \"flips\": 15, \"dlogp\": -7.514117940383799, \"kl\": 7.53662569733227, \"dclose\": 6.4258662953096275, \"base_top_logged\": 17, \"top_logged\": 2}, \"syntax\": {\"n\": 3, \"flips\": 3, \"dlogp\": -12.264825503031412, \"kl\": 12.264581044514975, \"dclose\": -1.227065086364746, \"base_top_logged\": 3, \"top_logged\": 0}, \"close\": {\"n\": 1, \"flips\": 1, \"dlogp\": -16.00406837463379, \"kl\": 15.86651611328125, \"dclose\": -16.00406837463379, \"base_top_logged\": 1, \"top_logged\": 0}, \"think\": {\"n\": 1, \"flips\": 1, \"dlogp\": -6.611629962921143, \"kl\": 6.611602783203125, \"dclose\": 12.388372421264648, \"base_top_logged\": 1, \"top_logged\": 0}}\n{\"edit\": {\"summary\": {\"r\": 4, \"scale\": 2.0, \"changed\": 120, \"of\": 420, \"net_rel\": 0.003299787832561287, \"rel_median\": 0.008450202455121921, \"rel_min\": 0.008439207369787056, \"rel_max\": 0.008458723241589288, \"rel_max_mod\": \"30.o_proj\", \"total_rel\": 0.008449958985987747, \"total_fro\": 6.805122294501026, \"stable_rank_median\": 1.6082338606213522, \"part_rank_median\": 3.4011287247439497, \"by_type\": {\"down_proj\": 0.008450281608669709, \"o_proj\": 0.008449893410239539}, \"by_depth\": [0.008450323006782678, 0.008450037379126207, 0.008450789939502625, 0.008446590216230811, 0.008450375154435134, 0.008450548890605314]}, \"rows\": [{\"mod\": \"0.down_proj\", \"fro\": 0.633964292101075, \"rel\": 0.008450190551343767, \"top_rel\": 0.0066403917362247026, \"stable_rank\": 1.6193681896844512, \"part_rank\": 3.2940023725238285}, {\"mod\": \"0.o_proj\", \"fro\": 0.617041537301052, \"rel\": 0.008450455462221588, \"top_rel\": 0.007120750458213613, \"stable_rank\": 1.4083438491062257, \"part_rank\": 2.8869314073356156}, {\"mod\": \"1.down_proj\", \"fro\": 0.6087141220634473, \"rel\": 0.008449801454932128, \"top_rel\": 0.006756907116896257, \"stable_rank\": 1.5638572611807047, \"part_rank\": 3.364904160322741}, {\"mod\": \"1.o_proj\", \"fro\": 0.6402761479478556, \"rel\": 0.008453486631739782, \"top_rel\": 0.006635061941933216, \"stable_rank\": 1.6232364161422708, \"part_rank\": 3.388722120694485}, {\"mod\": \"2.down_proj\", \"fro\": 0.6450805384276778, \"rel\": 0.008450148534634277, \"top_rel\": 0.007690332936072105, \"stable_rank\": 1.207364498928202, \"part_rank\": 2.606397939299861}, {\"mod\": \"2.o_proj\", \"fro\": 0.6255140741980436, \"rel\": 0.0084487471975096, \"top_rel\": 0.006571782588462527, \"stable_rank\": 1.6527922050696195, \"part_rank\": 3.47545623881949}, {\"mod\": \"3.down_proj\", \"fro\": 0.639598510978503, \"rel\": 0.00844984820822157, \"top_rel\": 0.0072346049472001486, \"stable_rank\": 1.364168989316823, \"part_rank\": 3.0577663970184212}, {\"mod\": \"3.o_proj\", \"fro\": 0.6212739743237629, \"rel\": 0.008446772050007613, \"top_rel\": 0.006292788040800535, \"stable_rank\": 1.80175336142991, \"part_rank\": 3.6017215870131984}, {\"mod\": \"4.down_proj\", \"fro\": 0.6356453281466501, \"rel\": 0.008452556262686995, \"top_rel\": 0.007856923486366036, \"stable_rank\": 1.1573669936574262, \"part_rank\": 2.456234353346123}, {\"mod\": \"4.o_proj\", \"fro\": 0.608577085655615, \"rel\": 0.008450785111971545, \"top_rel\": 0.006925683389120018, \"stable_rank\": 1.4889113812509513, \"part_rank\": 3.2711344386591517}, {\"mod\": \"5.down_proj\", \"fro\": 0.6031953224893036, \"rel\": 0.008450655381984236, \"top_rel\": 0.007142487978789192, \"stable_rank\": 1.399850790299412, \"part_rank\": 3.116169869000936}, {\"mod\": \"5.o_proj\", \"fro\": 0.6121937071594843, \"rel\": 0.008457329722094571, \"top_rel\": 0.006690245983900237, \"stable_rank\": 1.5980205250942434, \"part_rank\": 3.398745301080982}, {\"mod\": \"6.down_proj\", \"fro\": 0.6124978850804543, \"rel\": 0.008450671739053285, \"top_rel\": 0.007269872069633578, \"stable_rank\": 1.3512289060804497, \"part_rank\": 3.021421308404484}, {\"mod\": \"6.o_proj\", \"fro\": 0.6250097540859281, \"rel\": 0.00844813362190287, \"top_re\n[... 42784 characters cut ...]"},{"i":83,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/status.py turn17/mode_audit.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":84,"kind":"output","long":false,"text":" succeeded in 463ms:"},{"i":85,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/mode_audit.py; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":86,"kind":"output","long":true,"text":" succeeded in 2597ms:\nMODE_AUDIT 21 {'thought': 0.710915067994664, 'prompt': 0.7334678593171418, 'syntax': 0.6105207433400229}\nUTC 2026-11-15 01:06:46\nREPLAY u0.03 {'edit': {'all': {'n': 54, 'flips': 37, 'dlogp': -5.981246245335098, 'kl': 6.127742878333838, 'dclose': 2.534943598288077, 'base_top_logged': 54, 'top_logged': 17}, 'syntax': {'n': 3, 'flips': 3, 'dlogp': -12.264825503031412, 'kl': 12.264581044514975, 'dclose': -1.227065086364746, 'base_top_logged': 3, 'top_logged': 0}, 'close': {'n': 1, 'flips': 1, 'dlogp': -16.00406837463379, 'kl': 15.86651611328125, 'dclose': -16.00406837463379, 'base_top_logged': 1, 'top_logged': 0}}, 'ctrl': {'all': {'n': 54, 'flips': 30, 'dlogp': -3.1114025102514358, 'kl': 3.0894319797624594, 'dclose': 19.424440772445113, 'base_top_logged': 54, 'top_logged': 24}, 'syntax': {'n': 3, 'flips': 2, 'dlogp': -3.8659205039342246, 'kl': 3.8655256430308023, 'dclose': 16.15491231282552, 'base_top_logged': 3, 'top_logged': 1}, 'close': {'n': 1, 'flips': 1, 'dlogp': -2.7096638679504395, 'kl': 2.7225747108459473, 'dclose': -2.7096638679504395, 'base_top_logged': 1, 'top_logged': 0}}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n }\n ]\n}\ngpu_wait_started.json {\"start\": 1794704661.6789594, \"cutoff\": 1794707725.0, \"pid\": 2644444}\nLOG replay_first.log []\nLOG preflight.log []\nLOG gpu.log []\nSCRATCH_GB 5.29\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\n[... 846 lines cut ...]\n+import shutil,json,hashlib\n+from pathlib import Path\n+C=Path('/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17').resolve()\n+p=C/'tools/adapters';assert p.resolve().is_relative_to(C) and p.is_dir() and not p.is_symlink()\n+receipt={'removed_own_new_copy':str(p),'bytes':sum(f.stat().st_size for f in p.rglob('*') if f.is_file()),'reason':'tool example adapters are not builder inputs; only retain code snapshot'}\n+shutil.rmtree(p)\n+env=json.loads((C/'environment.json').read_text());env['tools']={str(p.relative_to(C/'tools')):hashlib.sha256(p.read_bytes()).hexdigest() for p in (C/'tools').rglob('*') if p.is_file() and '__pycache__' not in str(p)}\n+(C/'environment.json').write_text(json.dumps(env,indent=2));(C/'snapshot_trim.json').write_text(json.dumps(receipt,indent=2));print(receipt)"},{"i":87,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/mode_audit.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":88,"kind":"output","long":false,"text":" succeeded in 477ms:"},{"i":89,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/mode_audit.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":90,"kind":"output","long":true,"text":" succeeded in 2070ms:\nMODE_AUDIT 20 {'thought': 0.7101656812683788, 'prompt': 0.7330810828980979, 'syntax': 0.6110493116780148}\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 401 lines cut ...]\n+C=Path('/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17').resolve()\n+p=C/'tools/adapters';assert p.resolve().is_relative_to(C) and p.is_dir() and not p.is_symlink()\n+receipt={'removed_own_new_copy':str(p),'bytes':sum(f.stat().st_size for f in p.rglob('*') if f.is_file()),'reason':'tool example adapters are not builder inputs; only retain code snapshot'}\n+shutil.rmtree(p)\n+env=json.loads((C/'environment.json').read_text());env['tools']={str(p.relative_to(C/'tools')):hashlib.sha256(p.read_bytes()).hexdigest() for p in (C/'tools').rglob('*') if p.is_file() and '__pycache__' not in str(p)}\n+(C/'environment.json').write_text(json.dumps(env,indent=2));(C/'snapshot_trim.json').write_text(json.dumps(receipt,indent=2));print(receipt)\n\n**Analyzing computation and caching details**"},{"i":91,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":92,"kind":"output","long":true,"text":" succeeded in 413ms:\nUTC 2026-11-15 01:07:44\nREPLAY u0.03 {'edit': {'all': {'n': 54, 'flips': 37, 'dlogp': -5.981246245335098, 'kl': 6.127742878333838, 'dclose': 2.534943598288077, 'base_top_logged': 54, 'top_logged': 17}, 'syntax': {'n': 3, 'flips': 3, 'dlogp': -12.264825503031412, 'kl': 12.264581044514975, 'dclose': -1.227065086364746, 'base_top_logged': 3, 'top_logged': 0}, 'close': {'n': 1, 'flips': 1, 'dlogp': -16.00406837463379, 'kl': 15.86651611328125, 'dclose': -16.00406837463379, 'base_top_logged': 1, 'top_logged': 0}}, 'ctrl': {'all': {'n': 54, 'flips': 30, 'dlogp': -3.1114025102514358, 'kl': 3.0894319797624594, 'dclose': 19.424440772445113, 'base_top_logged': 54, 'top_logged': 24}, 'syntax': {'n': 3, 'flips': 2, 'dlogp': -3.8659205039342246, 'kl': 3.8655256430308023, 'dclose': 16.15491231282552, 'base_top_logged': 3, 'top_logged': 1}, 'close': {'n': 1, 'flips': 1, 'dlogp': -2.7096638679504395, 'kl': 2.7225747108459473, 'dclose': -2.7096638679504395, 'base_top_logged': 1, 'top_logged': 0}}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n }\n ]\n}\ngpu_wait_started.json {\"start\": 1794704661.6789594, \"cutoff\": 1794707725.0, \"pid\": 2644444}\nLOG replay_first.log []\nLOG preflight.log []\nLOG gpu.log []\nSCRATCH_GB 5.29\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\n[... 416 lines cut ...]\n+C=Path('/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17').resolve()\n+p=C/'tools/adapters';assert p.resolve().is_relative_to(C) and p.is_dir() and not p.is_symlink()\n+receipt={'removed_own_new_copy':str(p),'bytes':sum(f.stat().st_size for f in p.rglob('*') if f.is_file()),'reason':'tool example adapters are not builder inputs; only retain code snapshot'}\n+shutil.rmtree(p)\n+env=json.loads((C/'environment.json').read_text());env['tools']={str(p.relative_to(C/'tools')):hashlib.sha256(p.read_bytes()).hexdigest() for p in (C/'tools').rglob('*') if p.is_file() and '__pycache__' not in str(p)}\n+(C/'environment.json').write_text(json.dumps(env,indent=2));(C/'snapshot_trim.json').write_text(json.dumps(receipt,indent=2));print(receipt)\n\n[line removed by the dashboard scrubber]"},{"i":93,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn17\\write_notes.py\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/gpu_locked.py b/turn17/gpu_locked.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..9d3a8f52953cf0a7a1fd9e3acc1bae32f0345654\n--- /dev/null\n+++ b/turn17/gpu_locked.py\n@@ -0,0 +1,13 @@\n+import os,sys,time,json,subprocess\n+from pathlib import Path\n+from datetime import datetime,timezone\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn17'\n+now=time.time();cut=datetime(2026,11,15,1,55,25,tzinfo=timezone.utc).timestamp()\n+if now>=cut:\n+ (S/'gpu_skipped.json').write_text(json.dumps({'reason':'GPU hold did not start before the required 30-minute cutoff','time':now}));sys.exit(0)\n+budget=int(min(900,cut+180-now))\n+env=os.environ.copy();env['BUDGET']=str(budget);env['WSP31_WORK']=str(S);env.pop('CUDA_VISIBLE_DEVICES',None)\n+env['MAXRANK']='32';env['MAXLORAS']='4'\n+(S/'gpu_started.json').write_text(json.dumps({'start':now,'budget':budget,'pid':os.getpid()}))\n+rc=subprocess.call(['/home/keith/gemma-v2/wsp31/tools/gpu0_session.sh','18410','0.60','--','/home/keith/gemma-v2/tii-venv/bin/python','-u',str(A/'code/turn17/gpu_test.py')],env=env)\n+(S/'gpu_finished.json').write_text(json.dumps({'start':now,'end':time.time(),'rc':rc,'hold_seconds':time.time()-now}));sys.exit(rc)\ndiff --git a/turn17/gpu_test.py b/turn17/gpu_test.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f7107715579e65123ebafcab80034ab1a88445ff\n--- /dev/null\n+++ b/turn17/gpu_test.py\n@@ -0,0 +1,33 @@\n+\"\"\"Single-call greedy pre-tests. Stored stage-1 contexts only, no tools execute.\"\"\"\n+import json,sys,os,time,hashlib,statistics\n+from pathlib import Path\n+from concurrent.futures import ThreadPoolExecutor\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\n+sys.path.insert(0,str(C/'tools'));import g31,dose,vclient\n+port=int(os.environ['PORT']);budget=int(os.environ['LEFT'])-25;start=time.time()\n+sel=C/'dose_selection.json';d=json.loads(sel.read_text()).get('selected',.01) if sel.exists() else .01\n+root=S/f'u{d}'\n+sets=A.parents[1]/'queue/sets';allow=set((sets/'stage1_ids.txt').read_text().split());deny=set().union(*[set(p.read_text().split()) for p in sets.glob('stage2_ids*.txt')])\n+contexts=[json.loads(l) for l in (A/'code/turn13/generation_panel.jsonl').open()]\n+contexts=[r for r in contexts if r['instance'] in allow and r['instance'] not in deny]\n+after=[r|{'cap':600} for r in contexts if r['at']=='after'][:100]\n+turn=[r|{'cap':2000} for r in contexts if r['at']=='turn'][:8]\n+assert len(after)==100\n[line removed by the dashboard scrubber]\n+out={'candidate_root':str(root),'selected_at_start':sel.exists() and 'selected' in json.loads(sel.read_text()),'method':'served greedy single-call continuations; no tool execution','contexts':[{k:r[k] for k in ['instance','run','call','at']} for r in after+turn],'arms':[]}\n+prev=60\n+def one(model,r):\n+ g,cut,usage=dose.gen_one(port,model,r['ids'],r['cap']);cl=dose.classify(g,tok,names)\n+ return {'ids':list(g),'length':bool(cut),'at':r['at'],'instance':r['instance'],'call':r['call'],**cl}\n+for at,rr in [('after',after),('turn',turn)]:\n+ for name,path in [('reference',A.parents[1]/'queue/zero_ref'),('edit',root/'edit'),('ctrl',root/'ctrl')]:\n+ if time.time()-start+max(30,prev*1.\n[... 27293 characters cut ...]"},{"i":94,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/write_notes.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":95,"kind":"output","long":false,"text":" succeeded in 509ms:"},{"i":96,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/write_notes.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":97,"kind":"output","long":true,"text":" succeeded in 410ms:\nNOTES_WORDS 363\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 440 lines cut ...]\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Finalizing record preparation**\n\nI'm creating a function to write records only when all conditions like queue counts and GPU status confirm readiness, ensuring no premature writes and careful handling of queued entries and deduplication before finalizing.\n**Defining record base lines**\n**Interpreting prediction intervals**"},{"i":98,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":99,"kind":"output","long":true,"text":" succeeded in 521ms:\nUTC 2026-11-15 01:08:50\nREPLAY u0.01 {'edit': {'all': {'n': 54, 'flips': 3, 'dlogp': -0.1237451882835435, 'kl': 0.17477625767550012, 'dclose': -4.623406104191586, 'base_top_logged': 54, 'top_logged': 51}, 'syntax': {'n': 3, 'flips': 1, 'dlogp': -1.3805581725937373, 'kl': 1.3801448936640857, 'dclose': -4.27639102935791, 'base_top_logged': 3, 'top_logged': 2}, 'close': {'n': 1, 'flips': 0, 'dlogp': -0.12419240176677704, 'kl': 0.10099262744188309, 'dclose': -0.12419240176677704, 'base_top_logged': 1, 'top_logged': 1}}}\nREPLAY u0.03 {'edit': {'all': {'n': 54, 'flips': 37, 'dlogp': -5.981246245335098, 'kl': 6.127742878333838, 'dclose': 2.534943598288077, 'base_top_logged': 54, 'top_logged': 17}, 'syntax': {'n': 3, 'flips': 3, 'dlogp': -12.264825503031412, 'kl': 12.264581044514975, 'dclose': -1.227065086364746, 'base_top_logged': 3, 'top_logged': 0}, 'close': {'n': 1, 'flips': 1, 'dlogp': -16.00406837463379, 'kl': 15.86651611328125, 'dclose': -16.00406837463379, 'base_top_logged': 1, 'top_logged': 0}}, 'ctrl': {'all': {'n': 54, 'flips': 30, 'dlogp': -3.1114025102514358, 'kl': 3.0894319797624594, 'dclose': 19.424440772445113, 'base_top_logged': 54, 'top_logged': 24}, 'syntax': {'n': 3, 'flips': 2, 'dlogp': -3.8659205039342246, 'kl': 3.8655256430308023, 'dclose': 16.15491231282552, 'base_top_logged': 3, 'top_logged': 1}, 'close': {'n': 1, 'flips': 1, 'dlogp': -2.7096638679504395, 'kl': 2.7225747108459473, 'dclose': -2.7096638679504395, 'base_top_logged': 1, 'top_logged': 0}}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n }\n ]\n}\ngpu_wait_started.json {\"start\": 1794704661.6789594, \"cutoff\": 1794707725.0, \"pid\": 2644444}\nLOG replay_first.log []\nLOG preflight.log []\nLOG gpu.log []\nSCRATCH_GB 5.29\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\n[... 1057 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":100,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/finalize.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":101,"kind":"output","long":true,"text":" succeeded in 525ms:\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/finalize.py b/turn17/finalize.py\nnew file mode 100644\n[... 1171 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":102,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/finalize.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":103,"kind":"output","long":false,"text":" succeeded in 510ms:"},{"i":104,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":105,"kind":"output","long":true,"text":" succeeded in 382ms:\nUTC 2026-11-15 01:11:33\nREPLAY u0.01 {'edit': {'all': {'n': 54, 'flips': 3, 'dlogp': -0.1237451882835435, 'kl': 0.17477625767550012, 'dclose': -4.623406104191586, 'base_top_logged': 54, 'top_logged': 51}, 'syntax': {'n': 3, 'flips': 1, 'dlogp': -1.3805581725937373, 'kl': 1.3801448936640857, 'dclose': -4.27639102935791, 'base_top_logged': 3, 'top_logged': 2}, 'close': {'n': 1, 'flips': 0, 'dlogp': -0.12419240176677704, 'kl': 0.10099262744188309, 'dclose': -0.12419240176677704, 'base_top_logged': 1, 'top_logged': 1}}, 'ctrl': {'all': {'n': 54, 'flips': 2, 'dlogp': -0.07081581902590207, 'kl': 0.08040385269421145, 'dclose': 6.806028560355857, 'base_top_logged': 54, 'top_logged': 52}, 'syntax': {'n': 3, 'flips': 0, 'dlogp': -0.00013900701014790684, 'kl': 0.000255629851987275, 'dclose': 6.012881596883138, 'base_top_logged': 3, 'top_logged': 3}, 'close': {'n': 1, 'flips': 1, 'dlogp': -1.3318147659301758, 'kl': 1.281618595123291, 'dclose': -1.3318147659301758, 'base_top_logged': 1, 'top_logged': 0}}}\nREPLAY u0.03 {'edit': {'all': {'n': 54, 'flips': 37, 'dlogp': -5.981246245335098, 'kl': 6.127742878333838, 'dclose': 2.534943598288077, 'base_top_logged': 54, 'top_logged': 17}, 'syntax': {'n': 3, 'flips': 3, 'dlogp': -12.264825503031412, 'kl': 12.264581044514975, 'dclose': -1.227065086364746, 'base_top_logged': 3, 'top_logged': 0}, 'close': {'n': 1, 'flips': 1, 'dlogp': -16.00406837463379, 'kl': 15.86651611328125, 'dclose': -16.00406837463379, 'base_top_logged': 1, 'top_logged': 0}}, 'ctrl': {'all': {'n': 54, 'flips': 30, 'dlogp': -3.1114025102514358, 'kl': 3.0894319797624594, 'dclose': 19.424440772445113, 'base_top_logged': 54, 'top_logged': 24}, 'syntax': {'n': 3, 'flips': 2, 'dlogp': -3.8659205039342246, 'kl': 3.8655256430308023, 'dclose': 16.15491231282552, 'base_top_logged': 3, 'top_logged': 1}, 'close': {'n': 1, 'flips': 1, 'dlogp': -2.7096638679504395, 'kl': 2.7225747108459473, 'dclose': -2.7096638679504395, 'base_top_logged': 1, 'top_logged': 0}}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n }\n ]\n}\ngpu_wait_started.json {\"start\": 1794704661.6789594, \"cutoff\": 1794707725.0, \"pid\": 2644444}\nLOG replay_first.log []\nLOG preflight.log []\n[... 1196 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":106,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/gpu_test.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":107,"kind":"output","long":false,"text":" succeeded in 446ms:"},{"i":108,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":109,"kind":"output","long":true,"text":" succeeded in 471ms:\nUTC 2026-11-15 01:12:30\nREPLAY u0.0033 {'edit': {'all': {'n': 54, 'flips': 0, 'dlogp': 0.002827136957029334, 'kl': 0.012851884802293148, 'dclose': -2.151361233330573, 'base_top_logged': 54, 'top_logged': 54}, 'syntax': {'n': 3, 'flips': 0, 'dlogp': -0.0010381795776766012, 'kl': 0.0009298650236170639, 'dclose': -2.1468709309895835, 'base_top_logged': 3, 'top_logged': 3}, 'close': {'n': 1, 'flips': 0, 'dlogp': -0.006930691190063953, 'kl': 0.0018512771930545568, 'dclose': -0.006930691190063953, 'base_top_logged': 1, 'top_logged': 1}}}\nREPLAY u0.01 {'edit': {'all': {'n': 54, 'flips': 3, 'dlogp': -0.1237451882835435, 'kl': 0.17477625767550012, 'dclose': -4.623406104191586, 'base_top_logged': 54, 'top_logged': 51}, 'syntax': {'n': 3, 'flips': 1, 'dlogp': -1.3805581725937373, 'kl': 1.3801448936640857, 'dclose': -4.27639102935791, 'base_top_logged': 3, 'top_logged': 2}, 'close': {'n': 1, 'flips': 0, 'dlogp': -0.12419240176677704, 'kl': 0.10099262744188309, 'dclose': -0.12419240176677704, 'base_top_logged': 1, 'top_logged': 1}}, 'ctrl': {'all': {'n': 54, 'flips': 2, 'dlogp': -0.07081581902590207, 'kl': 0.08040385269421145, 'dclose': 6.806028560355857, 'base_top_logged': 54, 'top_logged': 52}, 'syntax': {'n': 3, 'flips': 0, 'dlogp': -0.00013900701014790684, 'kl': 0.000255629851987275, 'dclose': 6.012881596883138, 'base_top_logged': 3, 'top_logged': 3}, 'close': {'n': 1, 'flips': 1, 'dlogp': -1.3318147659301758, 'kl': 1.281618595123291, 'dclose': -1.3318147659301758, 'base_top_logged': 1, 'top_logged': 0}}}\nREPLAY u0.03 {'edit': {'all': {'n': 54, 'flips': 37, 'dlogp': -5.981246245335098, 'kl': 6.127742878333838, 'dclose': 2.534943598288077, 'base_top_logged': 54, 'top_logged': 17}, 'syntax': {'n': 3, 'flips': 3, 'dlogp': -12.264825503031412, 'kl': 12.264581044514975, 'dclose': -1.227065086364746, 'base_top_logged': 3, 'top_logged': 0}, 'close': {'n': 1, 'flips': 1, 'dlogp': -16.00406837463379, 'kl': 15.86651611328125, 'dclose': -16.00406837463379, 'base_top_logged': 1, 'top_logged': 0}}, 'ctrl': {'all': {'n': 54, 'flips': 30, 'dlogp': -3.1114025102514358, 'kl': 3.0894319797624594, 'dclose': 19.424440772445113, 'base_top_logged': 54, 'top_logged': 24}, 'syntax': {'n': 3, 'flips': 2, 'dlogp': -3.8659205039342246, 'kl': 3.8655256430308023, 'dclose': 16.15491231282552, 'base_top_logged': 3, 'top_logged': 1}, 'close': {'n': 1, 'flips': 1, 'dlogp': -2.7096638679504395, 'kl': 2.7225747108459473, 'dclose': -2.7096638679504395, 'base_top_logged': 1, 'top_logged': 0}}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n }\n ]\n}\ngpu_wait_started.json {\"start\": 1794704661.6789594, \"cutoff\": 1794707725.0, \"pid\": 2644444}\nLOG replay_first.log []\n[... 599 lines cut ...]\n+print('NOTES_WORDS',len(text.split()))\n\n**Analyzing internal prediction signals**\n**Reviewing incomplete output fragments**\n**Optimizing task orchestration and timing**\n**Handling concise responses**\n**Analyzing conditional checks and timing**\n**Finalizing dynamic execution plan**"},{"i":110,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn17\\finalize.py\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/finalize.py b/turn17/finalize.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c25d1e13d2a4f96929e9f8ce14d519f4aa2580b8\n--- /dev/null\n+++ b/turn17/finalize.py\n@@ -0,0 +1,134 @@\n+\"\"\"Freeze one fully checked entry. READY is created only after every check.\"\"\"\n+import os,sys,json,time,shutil,hashlib,subprocess,argparse\n+from pathlib import Path\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17';T=Path('/home/keith/gemma-v2/wsp31/tools')\n+sys.path.insert(0,str(C));from replay import safe\n+def sha(p):return hashlib.sha256(Path(p).read_bytes()).hexdigest()\n+def main():\n+ ap=argparse.ArgumentParser();ap.add_argument('--base',choices=['unedited','0031'],required=True);ap.add_argument('--dose',type=float,required=True);ap.add_argument('--slot',choices=['first','second'],required=True);ap.add_argument('--draft',action='store_true');a=ap.parse_args()\n+ if a.slot=='second':assert (C/'first_receipt.json').exists(),'first entry must be READY'\n+ prefix='u' if a.base=='unedited' else 'c';src=S/f'{prefix}{a.dose}';rp=json.loads((src/'replay.json').read_text());pf=json.loads((src/'preflight.json').read_text());sizes=json.loads((src/'size.json').read_text())\n+ assert safe(rp),'registered coherence screen failed'\n+ covered=[{r['record_index'] for r in arm['rows']} for arm in rp['arms'].values()]\n+ assert len(covered)==2 and covered[0]==covered[1]\n+ assert len(covered[0])==4 if a.slot=='first' else len(covered[0]) in [2,4]\n+ nrec=len(covered[0])\n+ suffix=f'{round(a.dose*10000):03d}'\n+ slug=f'spectral-writers-r4-{suffix}'+('' if a.base=='unedited' else '-g1')\n+ dst=A/'queue'/slug\n+ if not a.draft:\n+ assert not (C/f'{a.slot}_receipt.json').exists();assert not (dst/'READY').exists()\n+ assert (S/'gpu_finished.json').exists() or (S/'gpu_skipped.json').exists(),'GPU request still pending'\n+ env=os.environ.copy();env['CUDA_VISIBLE_DEVICES']='';env['OMP_NUM_THREADS']='4';env['WSP31_WORK']=str(S)\n+ sm=sizes['edit']['summary'];cs=sizes['ctrl']['summary'];checks=[]\n+ for arm in ['edit','ctrl']:\n+ r=subprocess.run([sys.executable,str(T/'check_adapter.py'),str(src/arm)],capture_output=True,text=True,env=env);assert r.returncode==0,r.stdout+r.stderr;checks.append(r.stdout.strip())\n+ assert sm['changed']>=100 and sm['net_rel']>=.003\n+ replays=[json.loads(l) for l in (C/'replay_calls.jsonl').open()]\n+ tasklist='\\n'.join(f\"- `{r['instance']}`, `{r['run']}`, call {r['call']}.\" for i,r in enumerate(replays) if i in covered[0])\n[line removed by the dashboard scrubber]\n+ for arm,v in rp['arms'].items():\n+ for kind in ['all','thought','action','syntax','close','think']:\n+ z=v['summary'][kind];table+=f\"| {arm} / {kind} | {z['n']} | {z['flips']} | {z['dlogp']:+.6f} | {z['kl']:.6f} |\\n\"\n[line removed by the dashboard scrubber]\n+ select=json.loads((C/'dose_selection.json').read_text()) if (C/'dose_selection.json').exists() else {}\n+ scouts=[]\n+ for d in [.03,.01,.0033]:\n+ p=S/f'u{d}/replay.json'\n+ if p.exists():\n+ x=json.loads(p.read_text());scouts.append({'dose':d,'arms':{k:v['summary'] for k,v in x['arms'].items()}})\n+ gpu='GPU request is still pending. This is a draft.'\n[line removed by the dashboard scrubber]\n+ if (S/'gpu_finished.json')\n[... 40349 characters cut ...]"},{"i":111,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/finalize.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":112,"kind":"output","long":false,"text":" succeeded in 499ms:"},{"i":113,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":114,"kind":"output","long":true,"text":" succeeded in 425ms:\nUTC 2026-11-15 01:14:02\nREPLAY u0.0033 {'edit': {'all': {'n': 54, 'flips': 0, 'dlogp': 0.002827136957029334, 'kl': 0.012851884802293148, 'dclose': -2.151361233330573, 'base_top_logged': 54, 'top_logged': 54}, 'syntax': {'n': 3, 'flips': 0, 'dlogp': -0.0010381795776766012, 'kl': 0.0009298650236170639, 'dclose': -2.1468709309895835, 'base_top_logged': 3, 'top_logged': 3}, 'close': {'n': 1, 'flips': 0, 'dlogp': -0.006930691190063953, 'kl': 0.0018512771930545568, 'dclose': -0.006930691190063953, 'base_top_logged': 1, 'top_logged': 1}}}\nREPLAY u0.01 {'edit': {'all': {'n': 54, 'flips': 3, 'dlogp': -0.1237451882835435, 'kl': 0.17477625767550012, 'dclose': -4.623406104191586, 'base_top_logged': 54, 'top_logged': 51}, 'syntax': {'n': 3, 'flips': 1, 'dlogp': -1.3805581725937373, 'kl': 1.3801448936640857, 'dclose': -4.27639102935791, 'base_top_logged': 3, 'top_logged': 2}, 'close': {'n': 1, 'flips': 0, 'dlogp': -0.12419240176677704, 'kl': 0.10099262744188309, 'dclose': -0.12419240176677704, 'base_top_logged': 1, 'top_logged': 1}}, 'ctrl': {'all': {'n': 54, 'flips': 2, 'dlogp': -0.07081581902590207, 'kl': 0.08040385269421145, 'dclose': 6.806028560355857, 'base_top_logged': 54, 'top_logged': 52}, 'syntax': {'n': 3, 'flips': 0, 'dlogp': -0.00013900701014790684, 'kl': 0.000255629851987275, 'dclose': 6.012881596883138, 'base_top_logged': 3, 'top_logged': 3}, 'close': {'n': 1, 'flips': 1, 'dlogp': -1.3318147659301758, 'kl': 1.281618595123291, 'dclose': -1.3318147659301758, 'base_top_logged': 1, 'top_logged': 0}}}\nREPLAY u0.03 {'edit': {'all': {'n': 54, 'flips': 37, 'dlogp': -5.981246245335098, 'kl': 6.127742878333838, 'dclose': 2.534943598288077, 'base_top_logged': 54, 'top_logged': 17}, 'syntax': {'n': 3, 'flips': 3, 'dlogp': -12.264825503031412, 'kl': 12.264581044514975, 'dclose': -1.227065086364746, 'base_top_logged': 3, 'top_logged': 0}, 'close': {'n': 1, 'flips': 1, 'dlogp': -16.00406837463379, 'kl': 15.86651611328125, 'dclose': -16.00406837463379, 'base_top_logged': 1, 'top_logged': 0}}, 'ctrl': {'all': {'n': 54, 'flips': 30, 'dlogp': -3.1114025102514358, 'kl': 3.0894319797624594, 'dclose': 19.424440772445113, 'base_top_logged': 54, 'top_logged': 24}, 'syntax': {'n': 3, 'flips': 2, 'dlogp': -3.8659205039342246, 'kl': 3.8655256430308023, 'dclose': 16.15491231282552, 'base_top_logged': 3, 'top_logged': 1}, 'close': {'n': 1, 'flips': 1, 'dlogp': -2.7096638679504395, 'kl': 2.7225747108459473, 'dclose': -2.7096638679504395, 'base_top_logged': 1, 'top_logged': 0}}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n }\n ]\n}\ngpu_wait_started.json {\"start\": 1794704661.6789594, \"cutoff\": 1794707725.0, \"pid\": 2644444}\nLOG replay_first.log []\n[... 599 lines cut ...]\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Analyzing timing and control flow**\n**Managing task sequencing and resource use**\n**Checking GPU resource locks**"},{"i":115,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'test -e /home/keith/gemma-v2/wsp31/queue/TURN_OPEN && echo TURN_OPEN_PRESENT; tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/replay_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":116,"kind":"output","long":true,"text":" succeeded in 535ms:\nARM u0.0033 0 edit 99.4 {\"all\": {\"n\": 54, \"flips\": 0, \"dlogp\": 0.002827136957029334, \"kl\": 0.012851884802293148, \"dclose\": -2.151361233330573, \"base_top_logged\": 54, \"top_logged\": 54}, \"thought\": {\"n\": 32, \"flips\": 0, \"dlogp\": 0.01019682227660601, \"kl\": 0.019372748211824525, \"dclose\": -2.265987142920494, \"base_top_logged\": 32, \"top_logged\": 32}, \"action\": {\"n\": 17, \"flips\": 0, \"dlogp\": -0.009622854218368438, \"kl\": 0.004084262805433718, \"dclose\": -1.9795222562902115, \"base_top_logged\": 17, \"top_logged\": 17}, \"syntax\": {\"n\": 3, \"flips\": 0, \"dlogp\": -0.0010381795776766012, \"kl\": 0.0009298650236170639, \"dclose\": -2.1468709309895835, \"base_top_logged\": 3, \"top_logged\": 3}, \"close\": {\"n\": 1, \"flips\": 0, \"dlogp\": -0.006930691190063953, \"kl\": 0.0018512771930545568, \"dclose\": -0.006930691190063953, \"base_top_logged\": 1, \"top_logged\": 1}, \"think\": {\"n\": 1, \"flips\": 0, \"dlogp\": 8.344635489265784e-07, \"kl\": 4.965891662322974e-07, \"dclose\": -3.5624961853027344, \"base_top_logged\": 1, \"top_logged\": 1}}\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 1181 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":117,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/gpu_locked.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":118,"kind":"output","long":false,"text":" succeeded in 530ms:"},{"i":119,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ps -p 2635325,2644444 -o pid=,etime=,args=; tail -2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/replay_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":120,"kind":"output","long":true,"text":" succeeded in 414ms:\n2635325 12:00 timeout 2700 /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/replay.py --select\n2644444 10:41 /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/gpu_wait.py\nARM u0.0033 0 edit 99.4 {\"all\": {\"n\": 54, \"flips\": 0, \"dlogp\": 0.002827136957029334, \"kl\": 0.012851884802293148, \"dclose\": -2.151361233330573, \"base_top_logged\": 54, \"top_logged\": 54}, \"thought\": {\"n\": 32, \"flips\": 0, \"dlogp\": 0.01019682227660601, \"kl\": 0.019372748211824525, \"dclose\": -2.265987142920494, \"base_top_logged\": 32, \"top_logged\": 32}, \"action\": {\"n\": 17, \"flips\": 0, \"dlogp\": -0.009622854218368438, \"kl\": 0.004084262805433718, \"dclose\": -1.9795222562902115, \"base_top_logged\": 17, \"top_logged\": 17}, \"syntax\": {\"n\": 3, \"flips\": 0, \"dlogp\": -0.0010381795776766012, \"kl\": 0.0009298650236170639, \"dclose\": -2.1468709309895835, \"base_top_logged\": 3, \"top_logged\": 3}, \"close\": {\"n\": 1, \"flips\": 0, \"dlogp\": -0.006930691190063953, \"kl\": 0.0018512771930545568, \"dclose\": -0.006930691190063953, \"base_top_logged\": 1, \"top_logged\": 1}, \"think\": {\"n\": 1, \"flips\": 0, \"dlogp\": 8.344635489265784e-07, \"kl\": 4.965891662322974e-07, \"dclose\": -3.5624961853027344, \"base_top_logged\": 1, \"top_logged\": 1}}\nARM u0.0033 0 ctrl 144.2 {\"all\": {\"n\": 54, \"flips\": 0, \"dlogp\": -0.0035743871432591615, \"kl\": 0.00724883203418904, \"dclose\": 2.324731340131688, \"base_top_logged\": 54, \"top_logged\": 54}, \"thought\": {\"n\": 32, \"flips\": 0, \"dlogp\": -0.008595379386088453, \"kl\": 0.006178814190269666, \"dclose\": 2.306162878870964, \"base_top_logged\": 32, \"top_logged\": 32}, \"action\": {\"n\": 17, \"flips\": 0, \"dlogp\": 0.005091379259617668, \"kl\": 0.011310480935914424, \"dclose\": 2.3819292853860294, \"base_top_logged\": 17, \"top_logged\": 17}, \"syntax\": {\"n\": 3, \"flips\": 0, \"dlogp\": 1.5136769889068091e-05, \"kl\": 6.240365178200591e-05, \"dclose\": 2.489598274230957, \"base_top_logged\": 3, \"top_logged\": 3}, \"close\": {\"n\": 1, \"flips\": 0, \"dlogp\": -0.004562431015074253, \"kl\": 0.0012489696964621544, \"dclose\": -0.004562431015074253, \"base_top_logged\": 1, \"top_logged\": 1}, \"think\": {\"n\": 1, \"flips\": 0, \"dlogp\": -1.1920892575290054e-06, \"kl\": 5.191952254790522e-07, \"dclose\": 3.78125, \"base_top_logged\": 1, \"top_logged\": 1}}\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n[... 1208 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":121,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/provenance.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":122,"kind":"output","long":false,"text":" succeeded in 469ms:"},{"i":123,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/provenance.py > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/provenance.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":124,"kind":"output","long":true,"text":" succeeded in 309ms:\n2740715\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 604 lines cut ...]\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Summarizing timing and tool usage**\n**Analyzing call index and damping effects**\n**Analyzing matrix calibration and fallback protocols**\n**Reviewing projector rotation effects**\n**Analyzing high-gain signal processing**"},{"i":125,"kind":"assistant","long":false,"text":"Both 0.33% arms passed the first-call checks. The edit and control also pass the official adapter checker, rebuild byte for byte, and have exactly opposite stored updates with identical norms. I\u2019m checking the other contexts before marking the entry READY."},{"i":126,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/provenance.log; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/write_notes.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":127,"kind":"output","long":true,"text":" succeeded in 552ms:\nPROVENANCE 23.3140971660614 {'config.json': {'sha256': 'b100d85e571c25b688e82919d819253063a1defb0e6cee3b9b1c1fbad99bd0c2', 'bytes': 18711}, 'model.safetensors': {'sha256': '1b9b1d622a93f02c0d33f98e502f233b5d707443af6ddc464ed0bf5498506c20', 'bytes': 23265352448}}\nNOTES_WORDS 371\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n[... 1223 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":128,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":129,"kind":"output","long":true,"text":" succeeded in 521ms:\nUTC 2026-11-15 01:17:20\nREPLAY u0.0033 {'edit': {'all': {'n': 54, 'flips': 0, 'dlogp': 0.002827136957029334, 'kl': 0.012851884802293148, 'dclose': -2.151361233330573, 'base_top_logged': 54, 'top_logged': 54}, 'syntax': {'n': 3, 'flips': 0, 'dlogp': -0.0010381795776766012, 'kl': 0.0009298650236170639, 'dclose': -2.1468709309895835, 'base_top_logged': 3, 'top_logged': 3}, 'close': {'n': 1, 'flips': 0, 'dlogp': -0.006930691190063953, 'kl': 0.0018512771930545568, 'dclose': -0.006930691190063953, 'base_top_logged': 1, 'top_logged': 1}}, 'ctrl': {'all': {'n': 54, 'flips': 0, 'dlogp': -0.0035743871432591615, 'kl': 0.00724883203418904, 'dclose': 2.324731340131688, 'base_top_logged': 54, 'top_logged': 54}, 'syntax': {'n': 3, 'flips': 0, 'dlogp': 1.5136769889068091e-05, 'kl': 6.240365178200591e-05, 'dclose': 2.489598274230957, 'base_top_logged': 3, 'top_logged': 3}, 'close': {'n': 1, 'flips': 0, 'dlogp': -0.004562431015074253, 'kl': 0.0012489696964621544, 'dclose': -0.004562431015074253, 'base_top_logged': 1, 'top_logged': 1}}}\nREPLAY u0.01 {'edit': {'all': {'n': 54, 'flips': 3, 'dlogp': -0.1237451882835435, 'kl': 0.17477625767550012, 'dclose': -4.623406104191586, 'base_top_logged': 54, 'top_logged': 51}, 'syntax': {'n': 3, 'flips': 1, 'dlogp': -1.3805581725937373, 'kl': 1.3801448936640857, 'dclose': -4.27639102935791, 'base_top_logged': 3, 'top_logged': 2}, 'close': {'n': 1, 'flips': 0, 'dlogp': -0.12419240176677704, 'kl': 0.10099262744188309, 'dclose': -0.12419240176677704, 'base_top_logged': 1, 'top_logged': 1}}, 'ctrl': {'all': {'n': 54, 'flips': 2, 'dlogp': -0.07081581902590207, 'kl': 0.08040385269421145, 'dclose': 6.806028560355857, 'base_top_logged': 54, 'top_logged': 52}, 'syntax': {'n': 3, 'flips': 0, 'dlogp': -0.00013900701014790684, 'kl': 0.000255629851987275, 'dclose': 6.012881596883138, 'base_top_logged': 3, 'top_logged': 3}, 'close': {'n': 1, 'flips': 1, 'dlogp': -1.3318147659301758, 'kl': 1.281618595123291, 'dclose': -1.3318147659301758, 'base_top_logged': 1, 'top_logged': 0}}}\nREPLAY u0.03 {'edit': {'all': {'n': 54, 'flips': 37, 'dlogp': -5.981246245335098, 'kl': 6.127742878333838, 'dclose': 2.534943598288077, 'base_top_logged': 54, 'top_logged': 17}, 'syntax': {'n': 3, 'flips': 3, 'dlogp': -12.264825503031412, 'kl': 12.264581044514975, 'dclose': -1.227065086364746, 'base_top_logged': 3, 'top_logged': 0}, 'close': {'n': 1, 'flips': 1, 'dlogp': -16.00406837463379, 'kl': 15.86651611328125, 'dclose': -16.00406837463379, 'base_top_logged': 1, 'top_logged': 0}}, 'ctrl': {'all': {'n': 54, 'flips': 30, 'dlogp': -3.1114025102514358, 'kl': 3.0894319797624594, 'dclose': 19.424440772445113, 'base_top_logged': 54, 'top_logged': 24}, 'syntax': {'n': 3, 'flips': 2, 'dlogp': -3.8659205039342246, 'kl': 3.8655256430308023, 'dclose': 16.15491231282552, 'base_top_logged': 3, 'top_logged': 1}, 'close': {'n': 1, 'flips': 1, 'dlogp': -2.7096638679504395, 'kl': 2.7225747108459473, 'dclose': -2.7096638679504395, 'base_top_logged': 1, 'top_logged': 0}}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.0033,\n \"call0_pass\": true\n }\n[... 1255 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch rema\n[... 334 characters cut ...]"},{"i":130,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/finalize.py turn17/write_notes.py turn17/status.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":131,"kind":"output","long":true,"text":" succeeded in 877ms:\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/finalize.py b/turn17/finalize.py\nnew file mode 100644\n[... 601 lines cut ...]\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Managing build provenance and execution timeouts**\n**Assessing resource and timing constraints**"},{"i":132,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":133,"kind":"output","long":true,"text":" succeeded in 410ms:\nUTC 2026-11-15 01:18:20\nREPLAY u0.0033 {'edit': {'calls': 1, 'n': 54, 'flips': 0, 'kl': 0.01285, 'dlogp': 0.00283, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.00693}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 0, 'kl': 0.00725, 'dlogp': -0.00357, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.00456}}\nREPLAY u0.01 {'edit': {'calls': 1, 'n': 54, 'flips': 3, 'kl': 0.17478, 'dlogp': -0.12375, 'syntax_flips': 1, 'close_flips': 0, 'dclose': -0.12419}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 2, 'kl': 0.0804, 'dlogp': -0.07082, 'syntax_flips': 0, 'close_flips': 1, 'dclose': -1.33181}}\nREPLAY u0.03 {'edit': {'calls': 1, 'n': 54, 'flips': 37, 'kl': 6.12774, 'dlogp': -5.98125, 'syntax_flips': 3, 'close_flips': 1, 'dclose': -16.00407}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 30, 'kl': 3.08943, 'dlogp': -3.1114, 'syntax_flips': 2, 'close_flips': 1, 'dclose': -2.70966}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.0033,\n \"call0_pass\": true\n }\n[... 627 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Analyzing CPU usage with process commands**"},{"i":134,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ps --ppid 2635325 -o pid=,pcpu=,pmem=,rss=,etime=,args=; tail -2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/replay_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":135,"kind":"output","long":true,"text":" succeeded in 382ms:\n2635326 1075 40.1 77306696 15:28 /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/replay.py --select\nARM u0.0033 0 ctrl 144.2 {\"all\": {\"n\": 54, \"flips\": 0, \"dlogp\": -0.0035743871432591615, \"kl\": 0.00724883203418904, \"dclose\": 2.324731340131688, \"base_top_logged\": 54, \"top_logged\": 54}, \"thought\": {\"n\": 32, \"flips\": 0, \"dlogp\": -0.008595379386088453, \"kl\": 0.006178814190269666, \"dclose\": 2.306162878870964, \"base_top_logged\": 32, \"top_logged\": 32}, \"action\": {\"n\": 17, \"flips\": 0, \"dlogp\": 0.005091379259617668, \"kl\": 0.011310480935914424, \"dclose\": 2.3819292853860294, \"base_top_logged\": 17, \"top_logged\": 17}, \"syntax\": {\"n\": 3, \"flips\": 0, \"dlogp\": 1.5136769889068091e-05, \"kl\": 6.240365178200591e-05, \"dclose\": 2.489598274230957, \"base_top_logged\": 3, \"top_logged\": 3}, \"close\": {\"n\": 1, \"flips\": 0, \"dlogp\": -0.004562431015074253, \"kl\": 0.0012489696964621544, \"dclose\": -0.004562431015074253, \"base_top_logged\": 1, \"top_logged\": 1}, \"think\": {\"n\": 1, \"flips\": 0, \"dlogp\": -1.1920892575290054e-06, \"kl\": 5.191952254790522e-07, \"dclose\": 3.78125, \"base_top_logged\": 1, \"top_logged\": 1}}\nARM u0.0033 1 edit 221.8 {\"all\": {\"n\": 107, \"flips\": 1, \"dlogp\": -0.013410665442609594, \"kl\": 0.015829685663793513, \"dclose\": -1.8839020426483024, \"base_top_logged\": 107, \"top_logged\": 106}, \"thought\": {\"n\": 50, \"flips\": 1, \"dlogp\": -0.016780202694102683, \"kl\": 0.025338797419499227, \"dclose\": -1.6976004791259767, \"base_top_logged\": 50, \"top_logged\": 49}, \"action\": {\"n\": 47, \"flips\": 0, \"dlogp\": -0.012288428118297131, \"kl\": 0.008856573278787947, \"dclose\": -2.148591690875114, \"base_top_logged\": 47, \"top_logged\": 47}, \"syntax\": {\"n\": 6, \"flips\": 0, \"dlogp\": -0.0018705999643960543, \"kl\": 0.001430096476363829, \"dclose\": -1.7635893821716309, \"base_top_logged\": 6, \"top_logged\": 6}, \"close\": {\"n\": 2, \"flips\": 0, \"dlogp\": -0.003576328803319484, \"kl\": 0.0009981345938285813, \"dclose\": -0.003576328803319484, \"base_top_logged\": 2, \"top_logged\": 2}, \"think\": {\"n\": 2, \"flips\": 0, \"dlogp\": 6.556494440701499e-07, \"kl\": 3.514510353852529e-07, \"dclose\": -2.562498092651367, \"base_top_logged\": 2, \"top_logged\": 2}}\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n[... 1238 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":136,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/finalize.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":137,"kind":"output","long":false,"text":" succeeded in 504ms:"},{"i":138,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/finalize.py --help'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":139,"kind":"output","long":true,"text":" succeeded in 2125ms:\nusage: finalize.py [-h] --base {unedited,0031} --dose DOSE\n --slot {first,second} [--draft]\n\noptions:\n -h, --help show this help message and exit\n --base {unedited,0031}\n --dose DOSE\n --slot {first,second}\n --draft\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n[... 614 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Enforcing frequent updates**"},{"i":140,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/finalize.py b/turn17/finalize.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..fccf5db3f30e4b27bf20f0cb2b9a17bc0aa6d90d\n--- /dev/null\n+++ b/turn17/finalize.py\n@@ -0,0 +1,140 @@\n+\"\"\"Freeze one fully checked entry. READY is created only after every check.\"\"\"\n+import os,sys,json,time,shutil,hashlib,subprocess,argparse\n+from pathlib import Path\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17';T=Path('/home/keith/gemma-v2/wsp31/tools')\n+sys.path.insert(0,str(C));from replay import safe\n+def sha(p):return hashlib.sha256(Path(p).read_bytes()).hexdigest()\n+def main():\n+ ap=argparse.ArgumentParser();ap.add_argument('--base',choices=['unedited','0031'],required=True);ap.add_argument('--dose',type=float,required=True);ap.add_argument('--slot',choices=['first','second'],required=True);ap.add_argument('--draft',action='store_true');a=ap.parse_args()\n+ if a.slot=='second':assert (C/'first_receipt.json').exists(),'first entry must be READY'\n+ prefix='u' if a.base=='unedited' else 'c';src=S/f'{prefix}{a.dose}';rp=json.loads((src/'replay.json').read_text());pf=json.loads((src/'preflight.json').read_text());sizes=json.loads((src/'size.json').read_text())\n+ assert safe(rp),'registered coherence screen failed'\n+ covered=[{r['record_index'] for r in arm['rows']} for arm in rp['arms'].values()]\n+ assert len(covered)==2 and covered[0]==covered[1]\n+ assert len(covered[0])==4 if a.slot=='first' else len(covered[0]) in [2,4]\n+ nrec=len(covered[0])\n+ suffix=f'{round(a.dose*10000):03d}'\n+ slug=f'spectral-writers-r4-{suffix}'+('' if a.base=='unedited' else '-g1')\n+ dst=A/'queue'/slug\n+ if not a.draft:\n+ assert not (C/f'{a.slot}_receipt.json').exists();assert not (dst/'READY').exists()\n+ assert (S/'gpu_finished.json').exists() or (S/'gpu_skipped.json').exists(),'GPU request still pending'\n+ env=os.environ.copy();env['CUDA_VISIBLE_DEVICES']='';env['OMP_NUM_THREADS']='4';env['WSP31_WORK']=str(S)\n+ sm=sizes['edit']['summary'];cs=sizes['ctrl']['summary'];checks=[]\n+ prov=json.loads((C/'provenance.json').read_text())\n+ prov['code']={p.name:sha(p) for p in sorted(C.glob('*.py'))}\n+ prov['basis']={f'basis_{a.base}.pt':sha(C/f'basis_{a.base}.pt')}\n+ for arm in ['edit','ctrl']:\n+ r=subprocess.run([sys.executable,str(T/'check_adapter.py'),str(src/arm)],capture_output=True,text=True,env=env);assert r.returncode==0,r.stdout+r.stderr;checks.append(r.stdout.strip())\n+ assert sm['changed']>=100 and sm['net_rel']>=.003\n+ replays=[json.loads(l) for l in (C/'replay_calls.jsonl').open()]\n+ tasklist='\\n'.join(f\"- `{r['instance']}`, `{r['run']}`, call {r['call']}.\" for i,r in enumerate(replays) if i in covered[0])\n[line removed by the dashboard scrubber]\n+ for arm,v in rp['arms'].items():\n+ for kind in ['all','thought','action','syntax','close','think']:\n+ z=v['summary'][kind];table+=f\"| {arm} / {kind} | {z['n']} | {z['flips']} | {z['dlogp']:+.6f} | {z['kl']:.6f} |\\n\"\n[line removed by the dashboard scrubber]\n+ select=json.loads((C/'dose_selection.json').read_text()) if (C/'dose_selection.json').exists() else {}\n+ scouts=[]\n+ for d in [.03,.01,.0033]:\n+ p=S/f'u{d}/replay.json'\n+ if p.exists():\n+ x=json.loads(p.read_text());scouts.append({'dose':d,'arms':{k:v['summary'] for k,v in x['arms'].items()}})\n+ gpu='GPU request is st\n[... 42588 characters cut ...]"},{"i":141,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":142,"kind":"output","long":true,"text":" succeeded in 421ms:\nUTC 2026-11-15 01:20:25\nREPLAY u0.0033 {'edit': {'calls': 2, 'n': 107, 'flips': 1, 'kl': 0.01583, 'dlogp': -0.01341, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.00358}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 0, 'kl': 0.00725, 'dlogp': -0.00357, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.00456}}\nREPLAY u0.01 {'edit': {'calls': 1, 'n': 54, 'flips': 3, 'kl': 0.17478, 'dlogp': -0.12375, 'syntax_flips': 1, 'close_flips': 0, 'dclose': -0.12419}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 2, 'kl': 0.0804, 'dlogp': -0.07082, 'syntax_flips': 0, 'close_flips': 1, 'dclose': -1.33181}}\nREPLAY u0.03 {'edit': {'calls': 1, 'n': 54, 'flips': 37, 'kl': 6.12774, 'dlogp': -5.98125, 'syntax_flips': 3, 'close_flips': 1, 'dclose': -16.00407}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 30, 'kl': 3.08943, 'dlogp': -3.1114, 'syntax_flips': 2, 'close_flips': 1, 'dclose': -2.70966}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.0033,\n \"call0_pass\": true\n }\n[... 1281 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":143,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/inspect_flips.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":144,"kind":"output","long":false,"text":" succeeded in 474ms:"},{"i":145,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/inspect_flips.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":146,"kind":"output","long":true,"text":" succeeded in 7881ms:\n[\n {\n \"instance\": \"rubik__radon.54b88e58.func_basic__8pbqxg0r\",\n \"call\": 8,\n \"pos\": 3465,\n \"kind\": \"thought\",\n \"arm\": \"edit\",\n \"before\": \"<|channel>thought\\nAh, `[` is a special character in\",\n \"base\": \" some\",\n \"edited\": \" grep\"\n }\n]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n[... 636 lines cut ...]\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Analyzing grep pattern issues**\n**Tracking update timing**"},{"i":147,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/finalize.py b/turn17/finalize.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..fccf5db3f30e4b27bf20f0cb2b9a17bc0aa6d90d\n--- /dev/null\n+++ b/turn17/finalize.py\n@@ -0,0 +1,140 @@\n+\"\"\"Freeze one fully checked entry. READY is created only after every check.\"\"\"\n+import os,sys,json,time,shutil,hashlib,subprocess,argparse\n+from pathlib import Path\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17';T=Path('/home/keith/gemma-v2/wsp31/tools')\n+sys.path.insert(0,str(C));from replay import safe\n+def sha(p):return hashlib.sha256(Path(p).read_bytes()).hexdigest()\n+def main():\n+ ap=argparse.ArgumentParser();ap.add_argument('--base',choices=['unedited','0031'],required=True);ap.add_argument('--dose',type=float,required=True);ap.add_argument('--slot',choices=['first','second'],required=True);ap.add_argument('--draft',action='store_true');a=ap.parse_args()\n+ if a.slot=='second':assert (C/'first_receipt.json').exists(),'first entry must be READY'\n+ prefix='u' if a.base=='unedited' else 'c';src=S/f'{prefix}{a.dose}';rp=json.loads((src/'replay.json').read_text());pf=json.loads((src/'preflight.json').read_text());sizes=json.loads((src/'size.json').read_text())\n+ assert safe(rp),'registered coherence screen failed'\n+ covered=[{r['record_index'] for r in arm['rows']} for arm in rp['arms'].values()]\n+ assert len(covered)==2 and covered[0]==covered[1]\n+ assert len(covered[0])==4 if a.slot=='first' else len(covered[0]) in [2,4]\n+ nrec=len(covered[0])\n+ suffix=f'{round(a.dose*10000):03d}'\n+ slug=f'spectral-writers-r4-{suffix}'+('' if a.base=='unedited' else '-g1')\n+ dst=A/'queue'/slug\n+ if not a.draft:\n+ assert not (C/f'{a.slot}_receipt.json').exists();assert not (dst/'READY').exists()\n+ assert (S/'gpu_finished.json').exists() or (S/'gpu_skipped.json').exists(),'GPU request still pending'\n+ env=os.environ.copy();env['CUDA_VISIBLE_DEVICES']='';env['OMP_NUM_THREADS']='4';env['WSP31_WORK']=str(S)\n+ sm=sizes['edit']['summary'];cs=sizes['ctrl']['summary'];checks=[]\n+ prov=json.loads((C/'provenance.json').read_text())\n+ prov['code']={p.name:sha(p) for p in sorted(C.glob('*.py'))}\n+ prov['basis']={f'basis_{a.base}.pt':sha(C/f'basis_{a.base}.pt')}\n+ for arm in ['edit','ctrl']:\n+ r=subprocess.run([sys.executable,str(T/'check_adapter.py'),str(src/arm)],capture_output=True,text=True,env=env);assert r.returncode==0,r.stdout+r.stderr;checks.append(r.stdout.strip())\n+ assert sm['changed']>=100 and sm['net_rel']>=.003\n+ replays=[json.loads(l) for l in (C/'replay_calls.jsonl').open()]\n+ tasklist='\\n'.join(f\"- `{r['instance']}`, `{r['run']}`, call {r['call']}.\" for i,r in enumerate(replays) if i in covered[0])\n[line removed by the dashboard scrubber]\n+ for arm,v in rp['arms'].items():\n+ for kind in ['all','thought','action','syntax','close','think']:\n+ z=v['summary'][kind];table+=f\"| {arm} / {kind} | {z['n']} | {z['flips']} | {z['dlogp']:+.6f} | {z['kl']:.6f} |\\n\"\n[line removed by the dashboard scrubber]\n+ select=json.loads((C/'dose_selection.json').read_text()) if (C/'dose_selection.json').exists() else {}\n+ scouts=[]\n+ for d in [.03,.01,.0033]:\n+ p=S/f'u{d}/replay.json'\n+ if p.exists():\n+ x=json.loads(p.read_text());scouts.append({'dose':d,'arms':{k:v['summary'] for k,v in x['arms'].items()}})\n+ gpu='GPU request is st\n[... 43609 characters cut ...]"},{"i":148,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":149,"kind":"output","long":true,"text":" succeeded in 430ms:\nUTC 2026-11-15 01:22:04\nREPLAY u0.0033 {'edit': {'calls': 2, 'n': 107, 'flips': 1, 'kl': 0.01583, 'dlogp': -0.01341, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.00358}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 0, 'kl': 0.00725, 'dlogp': -0.00357, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.00456}}\nREPLAY u0.01 {'edit': {'calls': 1, 'n': 54, 'flips': 3, 'kl': 0.17478, 'dlogp': -0.12375, 'syntax_flips': 1, 'close_flips': 0, 'dclose': -0.12419}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 2, 'kl': 0.0804, 'dlogp': -0.07082, 'syntax_flips': 0, 'close_flips': 1, 'dclose': -1.33181}}\nREPLAY u0.03 {'edit': {'calls': 1, 'n': 54, 'flips': 37, 'kl': 6.12774, 'dlogp': -5.98125, 'syntax_flips': 3, 'close_flips': 1, 'dclose': -16.00407}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 30, 'kl': 3.08943, 'dlogp': -3.1114, 'syntax_flips': 2, 'close_flips': 1, 'dclose': -2.70966}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.0033,\n \"call0_pass\": true\n }\n[... 651 lines cut ...]\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Analyzing CPU and runtime optimizations**\n**Clarifying process and runner states**\n**Reviewing SSH tool permissions**"},{"i":150,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":151,"kind":"output","long":true,"text":" succeeded in 508ms:\nUTC 2026-11-15 01:22:52\nREPLAY u0.0033 {'edit': {'calls': 2, 'n': 107, 'flips': 1, 'kl': 0.01583, 'dlogp': -0.01341, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.00358}, 'ctrl': {'calls': 2, 'n': 107, 'flips': 0, 'kl': 0.00906, 'dlogp': -0.00532, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.00524}}\nREPLAY u0.01 {'edit': {'calls': 1, 'n': 54, 'flips': 3, 'kl': 0.17478, 'dlogp': -0.12375, 'syntax_flips': 1, 'close_flips': 0, 'dclose': -0.12419}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 2, 'kl': 0.0804, 'dlogp': -0.07082, 'syntax_flips': 0, 'close_flips': 1, 'dclose': -1.33181}}\nREPLAY u0.03 {'edit': {'calls': 1, 'n': 54, 'flips': 37, 'kl': 6.12774, 'dlogp': -5.98125, 'syntax_flips': 3, 'close_flips': 1, 'dclose': -16.00407}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 30, 'kl': 3.08943, 'dlogp': -3.1114, 'syntax_flips': 2, 'close_flips': 1, 'dclose': -2.70966}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.0033,\n \"call0_pass\": true\n }\n[... 656 lines cut ...]\n**Reviewing control and audit settings**\n**Analyzing model replay and checkpoint integrity**\n**Confirming citation and formatting status**\n**Analyzing code snapshot cleanup**\n**Confirming IP address handling**\n**Analyzing stack rank and model serving limits**\n**Analyzing baseline and champion evaluation process**\n**Finalizing audit code**"},{"i":152,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/finalize.py b/turn17/finalize.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..fccf5db3f30e4b27bf20f0cb2b9a17bc0aa6d90d\n--- /dev/null\n+++ b/turn17/finalize.py\n@@ -0,0 +1,140 @@\n+\"\"\"Freeze one fully checked entry. READY is created only after every check.\"\"\"\n+import os,sys,json,time,shutil,hashlib,subprocess,argparse\n+from pathlib import Path\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17';T=Path('/home/keith/gemma-v2/wsp31/tools')\n+sys.path.insert(0,str(C));from replay import safe\n+def sha(p):return hashlib.sha256(Path(p).read_bytes()).hexdigest()\n+def main():\n+ ap=argparse.ArgumentParser();ap.add_argument('--base',choices=['unedited','0031'],required=True);ap.add_argument('--dose',type=float,required=True);ap.add_argument('--slot',choices=['first','second'],required=True);ap.add_argument('--draft',action='store_true');a=ap.parse_args()\n+ if a.slot=='second':assert (C/'first_receipt.json').exists(),'first entry must be READY'\n+ prefix='u' if a.base=='unedited' else 'c';src=S/f'{prefix}{a.dose}';rp=json.loads((src/'replay.json').read_text());pf=json.loads((src/'preflight.json').read_text());sizes=json.loads((src/'size.json').read_text())\n+ assert safe(rp),'registered coherence screen failed'\n+ covered=[{r['record_index'] for r in arm['rows']} for arm in rp['arms'].values()]\n+ assert len(covered)==2 and covered[0]==covered[1]\n+ assert len(covered[0])==4 if a.slot=='first' else len(covered[0]) in [2,4]\n+ nrec=len(covered[0])\n+ suffix=f'{round(a.dose*10000):03d}'\n+ slug=f'spectral-writers-r4-{suffix}'+('' if a.base=='unedited' else '-g1')\n+ dst=A/'queue'/slug\n+ if not a.draft:\n+ assert not (C/f'{a.slot}_receipt.json').exists();assert not (dst/'READY').exists()\n+ assert (S/'gpu_finished.json').exists() or (S/'gpu_skipped.json').exists(),'GPU request still pending'\n+ env=os.environ.copy();env['CUDA_VISIBLE_DEVICES']='';env['OMP_NUM_THREADS']='4';env['WSP31_WORK']=str(S)\n+ sm=sizes['edit']['summary'];cs=sizes['ctrl']['summary'];checks=[]\n+ prov=json.loads((C/'provenance.json').read_text())\n+ prov['code']={p.name:sha(p) for p in sorted(C.glob('*.py'))}\n+ prov['basis']={f'basis_{a.base}.pt':sha(C/f'basis_{a.base}.pt')}\n+ for arm in ['edit','ctrl']:\n+ r=subprocess.run([sys.executable,str(T/'check_adapter.py'),str(src/arm)],capture_output=True,text=True,env=env);assert r.returncode==0,r.stdout+r.stderr;checks.append(r.stdout.strip())\n+ assert sm['changed']>=100 and sm['net_rel']>=.003\n+ replays=[json.loads(l) for l in (C/'replay_calls.jsonl').open()]\n+ tasklist='\\n'.join(f\"- `{r['instance']}`, `{r['run']}`, call {r['call']}.\" for i,r in enumerate(replays) if i in covered[0])\n[line removed by the dashboard scrubber]\n+ for arm,v in rp['arms'].items():\n+ for kind in ['all','thought','action','syntax','close','think']:\n+ z=v['summary'][kind];table+=f\"| {arm} / {kind} | {z['n']} | {z['flips']} | {z['dlogp']:+.6f} | {z['kl']:.6f} |\\n\"\n[line removed by the dashboard scrubber]\n+ select=json.loads((C/'dose_selection.json').read_text()) if (C/'dose_selection.json').exists() else {}\n+ scouts=[]\n+ for d in [.03,.01,.0033]:\n+ p=S/f'u{d}/replay.json'\n+ if p.exists():\n+ x=json.loads(p.read_text());scouts.append({'dose':d,'arms':{k:v['summary'] for k,v in x['arms'].items()}})\n+ gpu='GPU request is st\n[... 43609 characters cut ...]"},{"i":153,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":154,"kind":"output","long":true,"text":" succeeded in 1008ms:\nUTC 2026-11-15 01:25:53\nREPLAY u0.0033 {'edit': {'calls': 2, 'n': 107, 'flips': 1, 'kl': 0.01583, 'dlogp': -0.01341, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.00358}, 'ctrl': {'calls': 2, 'n': 107, 'flips': 0, 'kl': 0.00906, 'dlogp': -0.00532, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.00524}}\nREPLAY u0.01 {'edit': {'calls': 1, 'n': 54, 'flips': 3, 'kl': 0.17478, 'dlogp': -0.12375, 'syntax_flips': 1, 'close_flips': 0, 'dclose': -0.12419}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 2, 'kl': 0.0804, 'dlogp': -0.07082, 'syntax_flips': 0, 'close_flips': 1, 'dclose': -1.33181}}\nREPLAY u0.03 {'edit': {'calls': 1, 'n': 54, 'flips': 37, 'kl': 6.12774, 'dlogp': -5.98125, 'syntax_flips': 3, 'close_flips': 1, 'dclose': -16.00407}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 30, 'kl': 3.08943, 'dlogp': -3.1114, 'syntax_flips': 2, 'close_flips': 1, 'dclose': -2.70966}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.0033,\n \"call0_pass\": true\n }\n[... 1300 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":155,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/finalize.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":156,"kind":"output","long":false,"text":" succeeded in 531ms:"},{"i":157,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'free -g; tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/replay_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":158,"kind":"output","long":true,"text":" succeeded in 387ms:\n total used free shared buff/cache available\nMem: 183 101 15 0 69 82\nSwap: 7 1 6\nARM u0.0033 2 edit 220.0 {\"all\": {\"n\": 180, \"flips\": 5, \"dlogp\": -0.012920906923032483, \"kl\": 0.01538380957127116, \"dclose\": -1.7116242103052275, \"base_top_logged\": 180, \"top_logged\": 175}, \"thought\": {\"n\": 81, \"flips\": 5, \"dlogp\": -0.01941893444019846, \"kl\": 0.023625780191193938, \"dclose\": -1.4673114411624861, \"base_top_logged\": 81, \"top_logged\": 76}, \"action\": {\"n\": 84, \"flips\": 0, \"dlogp\": -0.00405041537897468, \"kl\": 0.008898522539281695, \"dclose\": -1.9974818797338576, \"base_top_logged\": 84, \"top_logged\": 84}, \"syntax\": {\"n\": 9, \"flips\": 0, \"dlogp\": -0.0012473538978636295, \"kl\": 0.000990304136292666, \"dclose\": -1.5715598000420465, \"base_top_logged\": 9, \"top_logged\": 9}, \"close\": {\"n\": 3, \"flips\": 0, \"dlogp\": -0.1337864335703974, \"kl\": 0.033001754966486864, \"dclose\": -0.1337864335703974, \"base_top_logged\": 3, \"top_logged\": 3}, \"think\": {\"n\": 3, \"flips\": 0, \"dlogp\": -3.0596213112706514e-06, \"kl\": 1.21063878092779e-06, \"dclose\": -2.3020852406819663, \"base_top_logged\": 3, \"top_logged\": 3}}\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n[... 631 lines cut ...]\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Analyzing control signal issues**\n**Analyzing embedding projection adjustments**\n**Analyzing protocol and weight preservation**\n**Analyzing weight-only mode adjustments**\n**Analyzing model update process**"},{"i":159,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn17\\protected.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn17\\stop_unprotected.py\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/finalize.py b/turn17/finalize.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..ea435b49ef0c906698f5b340362ab9850faa3c55\n--- /dev/null\n+++ b/turn17/finalize.py\n@@ -0,0 +1,140 @@\n+\"\"\"Freeze one fully checked entry. READY is created only after every check.\"\"\"\n+import os,sys,json,time,shutil,hashlib,subprocess,argparse\n+from pathlib import Path\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17';T=Path('/home/keith/gemma-v2/wsp31/tools')\n+sys.path.insert(0,str(C));from replay import safe\n+def sha(p):return hashlib.sha256(Path(p).read_bytes()).hexdigest()\n+def main():\n+ ap=argparse.ArgumentParser();ap.add_argument('--base',choices=['unedited','0031'],required=True);ap.add_argument('--dose',type=float,required=True);ap.add_argument('--slot',choices=['first','second'],required=True);ap.add_argument('--draft',action='store_true');a=ap.parse_args()\n+ if a.slot=='second':assert (C/'first_receipt.json').exists(),'first entry must be READY'\n+ prefix='u' if a.base=='unedited' else 'c';src=S/f'{prefix}{a.dose}';rp=json.loads((src/'replay.json').read_text());pf=json.loads((src/'preflight.json').read_text());sizes=json.loads((src/'size.json').read_text())\n+ assert safe(rp),'registered coherence screen failed'\n+ covered=[{r['record_index'] for r in arm['rows']} for arm in rp['arms'].values()]\n+ assert len(covered)==2 and covered[0]==covered[1]\n+ assert len(covered[0])==4 if a.slot=='first' else len(covered[0]) in [2,4]\n+ nrec=len(covered[0])\n+ suffix=f'{round(a.dose*10000):03d}'\n+ slug=f'spectral-writers-r4-{suffix}'+('' if a.base=='unedited' else '-g1')\n+ dst=A/'queue'/slug\n+ if not a.draft:\n+ assert not (C/f'{a.slot}_receipt.json').exists();assert not (dst/'READY').exists()\n+ assert (S/'gpu_finished.json').exists() or (S/'gpu_skipped.json').exists(),'GPU request still pending'\n+ env=os.environ.copy();env['CUDA_VISIBLE_DEVICES']='';env['OMP_NUM_THREADS']='4';env['WSP31_WORK']=str(S)\n+ sm=sizes['edit']['summary'];cs=sizes['ctrl']['summary'];checks=[]\n+ prov=json.loads((C/'provenance.json').read_text())\n+ prov['code']={p.name:sha(p) for p in sorted(C.glob('*.py'))}\n+ prov['basis']={f'basis_{a.base}.pt':sha(C/f'basis_{a.base}.pt')}\n+ for arm in ['edit','ctrl']:\n+ r=subprocess.run([sys.executable,str(T/'check_adapter.py'),str(src/arm)],capture_output=True,text=True,env=env);assert r.returncode==0,r.stdout+r.stderr;checks.append(r.stdout.strip())\n+ assert sm['changed']>=100 and sm['net_rel']>=.003\n+ replays=[json.loads(l) for l in (C/'replay_calls.jsonl').open()]\n+ tasklist='\\n'.join(f\"- `{r['instance']}`, `{r['run']}`, call {r['call']}.\" for i,r in enumerate(replays) if i in covered[0])\n[line removed by the dashboard scrubber]\n+ for arm,v in rp['arms'].items():\n+ for kind in ['all','thought','action','syntax','close','think']:\n+ z=v['summary'][kind];table+=f\"| {arm} / {kind} | {z['n']} | {z['flips']} | {z['dlogp']:+.6f} | {z['kl']:.6f} |\\n\"\n[line removed by the dashboard scrubber]\n+ select=json.loads((C/'dose_selection.json').read_text()) if (C/'dose_selection.json').exists() else {}\n+ scouts=[]\n+ for d in [.03,.01,.0033]:\n+ p=S/f'u{d}/replay.json'\n+ if p\n[... 48728 characters cut ...]"},{"i":160,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'sed -n \\\"70,110p\\\" /home/keith/gemma-v2/wsp31/tools/edits.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":161,"kind":"output","long":true,"text":" succeeded in 328ms:\n # ---- base weights (CPU) ---------------------------------------------------------------------------------\n def _file(self):\n if self._f is None:\n if self.model_dir not in _FILES: # one mapping of the checkpoint per process, shared by all sets\n from safetensors import safe_open\n _FILES[self.model_dir] = safe_open(os.path.join(self.model_dir, \"model.safetensors\"),\n framework=\"pt\", device=\"cpu\")\n self._f = _FILES[self.model_dir]\n return self._f\n\n def _src(self, l, mod):\n return \"k_proj\" if (mod == \"v_proj\" and not self.arch.geom(l)[\"has_v\"]) else mod\n\n def W(self, l, mod, cache=True):\n \"\"\"Dequantised base weight, fp32 [out, in] (on global layers v_proj returns k_proj: K and V share it);\n plus the champion's change when a champion is set (EditSet(champion=...) or set_champion).\"\"\"\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[... 1486 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":162,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/stop_unprotected.py turn17/protected.py turn17/preflight.py turn17/protected_first.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":163,"kind":"output","long":false,"text":" succeeded in 552ms:"},{"i":164,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/stop_unprotected.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":165,"kind":"output","long":false,"text":" succeeded in 440ms:\n{'time': 1794706162.9479425, 'reason': 'Unprotected 0.33% edit hit the close warning on the third context: mean delta -0.133786; stop unused continuation work and preserve all partial results', 'stopped': [{'pid': 2635326, 'command': '/home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/replay.py --select '}, {'pid': 2635325, 'command': 'timeout 2700 /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/replay.py --select '}]}"},{"i":166,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/protected_first.sh > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":167,"kind":"output","long":true,"text":" succeeded in 436ms:\n2917619\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 1466 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":168,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/gpu_test.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":169,"kind":"output","long":false,"text":" succeeded in 494ms:"},{"i":170,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":171,"kind":"output","long":true,"text":" succeeded in 405ms:\nFIT unedited 0 3.8\nFIT unedited 5 21.3\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n[... 1625 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":172,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/protected_verify.py turn17/freeze_protected.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":173,"kind":"output","long":false,"text":" succeeded in 516ms:"},{"i":174,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":175,"kind":"output","long":true,"text":" succeeded in 362ms:\nFIT unedited 25 91.8\nFIT unedited 30 108.9\nFIT unedited 35 126.6\nFIT unedited 40 143.2\nFIT unedited 45 161.2\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n[... 2700 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":176,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/notes_protected.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":177,"kind":"output","long":false,"text":" succeeded in 525ms:"},{"i":178,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/notes_protected.py; tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":179,"kind":"output","long":true,"text":" succeeded in 411ms:\nNOTES_WORDS 353\n by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]\nctrl {\"r\": 4, \"scale\": 2.0, \"changed\": 120, \"of\": 420, \"net_rel\": 0.0033, \"rel_median\": 0.008451, \"rel_min\": 0.008449, \"rel_max\": 0.008453, \"rel_max_mod\": \"28.o_proj\", \"total_rel\": 0.00845, \"total_fro\": 6.806, \"stable_rank_median\": 3.275, \"part_rank_median\": 3.978}\n by type {'down_proj': 0.00845, 'o_proj': 0.00845}\n by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n[... 906 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Starting replay and audit**"},{"i":180,"kind":"assistant","long":false,"text":"The revised pair passes the checker and rebuilds exactly. It changes 120 matrices at 0.33% of the whole-network norm. Its stable rank is about 3.28, so the change is spread more evenly across the four directions than in the rejected scout. Replay is now testing whether the added constraints preserve behavior."},{"i":181,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/protected_verify.py unedited 0.0033; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":182,"kind":"output","long":true,"text":" succeeded in 2503ms:\nSTORED_PROTECTION 0.00014590697513301883 7.34170887990126e-05\nUTC 2026-11-15 01:33:24\nREPLAY u0.0033 {'edit': {'calls': 3, 'n': 180, 'flips': 5, 'kl': 0.01538, 'dlogp': -0.01292, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.13379}, 'ctrl': {'calls': 3, 'n': 180, 'flips': 5, 'kl': 0.01249, 'dlogp': -0.01132, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.02574}}\nREPLAY u0.01 {'edit': {'calls': 1, 'n': 54, 'flips': 3, 'kl': 0.17478, 'dlogp': -0.12375, 'syntax_flips': 1, 'close_flips': 0, 'dclose': -0.12419}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 2, 'kl': 0.0804, 'dlogp': -0.07082, 'syntax_flips': 0, 'close_flips': 1, 'dclose': -1.33181}}\nREPLAY u0.03 {'edit': {'calls': 1, 'n': 54, 'flips': 37, 'kl': 6.12774, 'dlogp': -5.98125, 'syntax_flips': 3, 'close_flips': 1, 'dclose': -16.00407}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 30, 'kl': 3.08943, 'dlogp': -3.1114, 'syntax_flips': 2, 'close_flips': 1, 'dclose': -2.70966}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.0033,\n \"call0_pass\": true\n[... 928 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Analyzing model protection metrics**"},{"i":183,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'grep FIT_DONE /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log; grep PREFLIGHT /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":184,"kind":"output","long":true,"text":" succeeded in 377ms:\nFIT_DONE unedited 212.9 retained_mean 0.9780757330007119 orth_error 1.8041124150158794e-16\nPREFLIGHT p0.0033 alpha [0.04707319854689866, 0.11692276161866494, 0.20350601211445124] edit {\"r\": 4, \"scale\": 2.0, \"changed\": 120, \"of\": 420, \"net_rel\": 0.0033, \"rel_median\": 0.008451, \"rel_min\": 0.008449, \"rel_max\": 0.008453, \"rel_max_mod\": \"28.o_proj\", \"total_rel\": 0.00845, \"total_fro\": 6.806, \"stable_rank_median\": 3.275, \"part_rank_median\": 3.978}\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n[... 906 lines cut ...]\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Analyzing mode projection metrics**\n**Analyzing model freezing and prediction details**\n**Tracking memory and usage notes**\n[line removed by the dashboard scrubber]"},{"i":185,"kind":"assistant","long":true,"text":"The stored bf16 factors retain the intended constraints closely: protocol-readout leakage is at most 0.015% of the update norm, and leading-mode leakage is below 0.008%. These checks confirm the linear construction; replay still has to check the full model\u2019s behavior.\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/finalize.py b/turn17/finalize.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..ea435b49ef0c906698f5b340362ab9850faa3c55\n--- /dev/null\n+++ b/turn17/finalize.py\n@@ -0,0 +1,140 @@\n+\"\"\"Freeze one fully checked entry. READY is created only after every check.\"\"\"\n+import os,sys,json,time,shutil,hashlib,subprocess,argparse\n+from pathlib import Path\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17';T=Path('/home/keith/gemma-v2/wsp31/tools')\n+sys.path.insert(0,str(C));from replay import safe\n+def sha(p):return hashlib.sha256(Path(p).read_bytes()).hexdigest()\n+def main():\n+ ap=argparse.ArgumentParser();ap.add_argument('--base',choices=['unedited','0031'],required=True);ap.add_argument('--dose',type=float,required=True);ap.add_argument('--slot',choices=['first','second'],required=True);ap.add_argument('--draft',action='store_true');a=ap.parse_args()\n+ if a.slot=='second':assert (C/'first_receipt.json').exists(),'first entry must be READY'\n+ prefix='u' if a.base=='unedited' else 'c';src=S/f'{prefix}{a.dose}';rp=json.loads((src/'replay.json').read_text());pf=json.loads((src/'preflight.json').read_text());sizes=json.loads((src/'size.json').read_text())\n+ assert safe(rp),'registered coherence screen failed'\n+ covered=[{r['record_index'] for r in arm['rows']} for arm in rp['arms'].values()]\n+ assert len(covered)==2 and covered[0]==covered[1]\n+ assert len(covered[0])==4 if a.slot=='first' else len(covered[0]) in [2,4]\n+ nrec=len(covered[0])\n+ suffix=f'{round(a.dose*10000):03d}'\n+ slug=f'spectral-writers-r4-{suffix}'+('' if a.base=='unedited' else '-g1')\n+ dst=A/'queue'/slug\n+ if not a.draft:\n+ assert not (C/f'{a.slot}_receipt.json').exists();assert not (dst/'READY').exists()\n+ assert (S/'gpu_finished.json').exists() or (S/'gpu_skipped.json').exists(),'GPU request still pending'\n+ env=os.environ.copy();env['CUDA_VISIBLE_DEVICES']='';env['OMP_NUM_THREADS']='4';env['WSP31_WORK']=str(S)\n+ sm=sizes['edit']['summary'];cs=sizes['ctrl']['summary'];checks=[]\n+ prov=json.loads((C/'provenance.json').read_text())\n+ prov['code']={p.name:sha(p) for p in sorted(C.glob('*.py'))}\n+ prov['basis']={f'basis_{a.base}.pt':sha(C/f'basis_{a.base}.pt')}\n+ for arm in ['edit','ctrl']:\n+ r=subprocess.run([sys.executable,str(T/'check_adapter.py'),str(src/arm)],capture_output=True,text=True,env=env);assert r.returncode==0,r.stdout+r.stderr;checks.append(r.stdout.strip())\n+ assert sm['changed']>=100 and sm['net_rel']>=.003\n+ replays=[json.loads(l) for l in (C/'replay_calls.jsonl').open()]\n+ tasklist='\\n'.join(f\"- `{r['instance']}`, `{r['run']}`, call {r['call']}.\" for i,r in enumerate(replays) if i in covered[0])\n[line removed by the dashboard scrubber]\n+ for arm,v in rp['arms'].items():\n+ for kind in ['all','thought','action','syntax','close','think']:\n+ z=v['summary'][kind];table+=f\"| {arm} / {kind} | {z['n']} | {z['flips']} | {z['dlogp']:+.6f} | {z['kl']:.6f} |\\n\"\n[line removed by the dashboard scrubber]\n+ select=json.loads((C/'dose_selection.json').read_text()) if (C/'dose_selection.json').exists() \n[... 67200 characters cut ...]"},{"i":186,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py; tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":187,"kind":"output","long":true,"text":" succeeded in 423ms:\nUTC 2026-11-15 01:35:16\nREPLAY u0.0033 {'edit': {'calls': 3, 'n': 180, 'flips': 5, 'kl': 0.01538, 'dlogp': -0.01292, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.13379}, 'ctrl': {'calls': 3, 'n': 180, 'flips': 5, 'kl': 0.01249, 'dlogp': -0.01132, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.02574}}\nREPLAY u0.01 {'edit': {'calls': 1, 'n': 54, 'flips': 3, 'kl': 0.17478, 'dlogp': -0.12375, 'syntax_flips': 1, 'close_flips': 0, 'dclose': -0.12419}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 2, 'kl': 0.0804, 'dlogp': -0.07082, 'syntax_flips': 0, 'close_flips': 1, 'dclose': -1.33181}}\nREPLAY u0.03 {'edit': {'calls': 1, 'n': 54, 'flips': 37, 'kl': 6.12774, 'dlogp': -5.98125, 'syntax_flips': 3, 'close_flips': 1, 'dclose': -16.00407}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 30, 'kl': 3.08943, 'dlogp': -3.1114, 'syntax_flips': 2, 'close_flips': 1, 'dclose': -2.70966}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.0033,\n \"call0_pass\": true\n }\n[... 930 lines cut ...]\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Explaining GPU pretest skip**\n[line removed by the dashboard scrubber]"},{"i":188,"kind":"assistant","long":false,"text":"The GPU lock became available, but `TURN_OPEN` was absent. `TOOLS.md` permits GPU use only while that marker exists, so the wrapper released the lock without starting a server. I\u2019m continuing with CPU checks and recording which GPU pre-tests were skipped and why."},{"i":189,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/notes_protected.py; tail -2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/gpu.log; tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":190,"kind":"output","long":true,"text":" succeeded in 380ms:\nNOTES_WORDS 365\nGPU_WAIT_EXIT 0\n by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n[... 1887 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":191,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/second.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":192,"kind":"output","long":false,"text":" succeeded in 427ms:"},{"i":193,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":194,"kind":"output","long":true,"text":" succeeded in 409ms:\n by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]\nARM p0.0033 0 edit 202.5 {\"all\": {\"n\": 54, \"flips\": 0, \"dlogp\": 0.0074966991732565635, \"kl\": 0.001430957550119633, \"dclose\": 0.32545802319698314, \"base_top_logged\": 54, \"top_logged\": 54}, \"thought\": {\"n\": 32, \"flips\": 0, \"dlogp\": 0.011980482827345318, \"kl\": 0.002165743349143767, \"dclose\": 0.15840357542037964, \"base_top_logged\": 32, \"top_logged\": 32}, \"action\": {\"n\": 17, \"flips\": 0, \"dlogp\": 0.001613045110082697, \"kl\": 0.0003725001799211804, \"dclose\": 0.4124583076028263, \"base_top_logged\": 17, \"top_logged\": 17}, \"syntax\": {\"n\": 3, \"flips\": 0, \"dlogp\": -4.409826866928294e-05, \"kl\": 1.8670169273112453e-05, \"dclose\": 1.5832894643147786, \"base_top_logged\": 3, \"top_logged\": 3}, \"close\": {\"n\": 1, \"flips\": 0, \"dlogp\": -0.005840783007442951, \"kl\": 0.001578531926497817, \"dclose\": -0.005840783007442951, \"base_top_logged\": 1, \"top_logged\": 1}, \"think\": {\"n\": 1, \"flips\": 0, \"dlogp\": -2.384177150815958e-06, \"kl\": 8.75040882419853e-07, \"dclose\": 0.75, \"base_top_logged\": 1, \"top_logged\": 1}}\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n[... 950 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\ncontext compacted"},{"i":195,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log; test -f /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/second.py && echo SECOND_SCRIPT_PRESENT'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":196,"kind":"output","long":true,"text":" succeeded in 453ms:\n by type {'down_proj': 0.00845, 'o_proj': 0.00845}\n by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]\nARM p0.0033 0 edit 202.5 {\"all\": {\"n\": 54, \"flips\": 0, \"dlogp\": 0.0074966991732565635, \"kl\": 0.001430957550119633, \"dclose\": 0.32545802319698314, \"base_top_logged\": 54, \"top_logged\": 54}, \"thought\": {\"n\": 32, \"flips\": 0, \"dlogp\": 0.011980482827345318, \"kl\": 0.002165743349143767, \"dclose\": 0.15840357542037964, \"base_top_logged\": 32, \"top_logged\": 32}, \"action\": {\"n\": 17, \"flips\": 0, \"dlogp\": 0.001613045110082697, \"kl\": 0.0003725001799211804, \"dclose\": 0.4124583076028263, \"base_top_logged\": 17, \"top_logged\": 17}, \"syntax\": {\"n\": 3, \"flips\": 0, \"dlogp\": -4.409826866928294e-05, \"kl\": 1.8670169273112453e-05, \"dclose\": 1.5832894643147786, \"base_top_logged\": 3, \"top_logged\": 3}, \"close\": {\"n\": 1, \"flips\": 0, \"dlogp\": -0.005840783007442951, \"kl\": 0.001578531926497817, \"dclose\": -0.005840783007442951, \"base_top_logged\": 1, \"top_logged\": 1}, \"think\": {\"n\": 1, \"flips\": 0, \"dlogp\": -2.384177150815958e-06, \"kl\": 8.75040882419853e-07, \"dclose\": 0.75, \"base_top_logged\": 1, \"top_logged\": 1}}\nARM p0.0033 0 ctrl 155.0 {\"all\": {\"n\": 54, \"flips\": 0, \"dlogp\": 0.005381377750013909, \"kl\": 0.0020623494536148065, \"dclose\": 0.16774399823474664, \"base_top_logged\": 54, \"top_logged\": 54}, \"thought\": {\"n\": 32, \"flips\": 0, \"dlogp\": 0.007669421896898454, \"kl\": 0.0029725602850898536, \"dclose\": 0.36075785756111145, \"base_top_logged\": 32, \"top_logged\": 32}, \"action\": {\"n\": 17, \"flips\": 0, \"dlogp\": 0.002336010323845398, \"kl\": 0.0007888796623311577, \"dclose\": 0.05748288771685432, \"base_top_logged\": 17, \"top_logged\": 17}, \"syntax\": {\"n\": 3, \"flips\": 0, \"dlogp\": 4.768117681427005e-07, \"kl\": 8.167137366399402e-06, \"dclose\": -1.1145823796590169, \"base_top_logged\": 3, \"top_logged\": 3}, \"close\": {\"n\": 1, \"flips\": 0, \"dlogp\": 0.005458695814013481, \"kl\": 0.0028091403655707836, \"dclose\": 0.005458695814013481, \"base_top_logged\": 1, \"top_logged\": 1}, \"think\": {\"n\": 1, \"flips\": 0, \"dlogp\": 5.96045310885529e-07, \"kl\": 3.4533502457634313e-07, \"dclose\": -0.12499618530273438, \"base_top_logged\": 1, \"top_logged\": 1}}\nSECOND_SCRIPT_PRESENT\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n[... 953 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Preparing to review files and scripts**"},{"i":197,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":198,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'Get-Content turn17/freeze_protected.py; Get-Content turn17/second.py; Get-Content turn17/notes_protected.py' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":199,"kind":"output","long":true,"text":" succeeded in 78ms:\nimport os,sys,json,hashlib,time,shutil,subprocess,argparse\nfrom pathlib import Path\nC=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17';T=Path('/home/keith/gemma-v2/wsp31/tools')\nsys.path.insert(0,str(C));from replay import safe\ndef sha(p):return hashlib.sha256(Path(p).read_bytes()).hexdigest()\np=argparse.ArgumentParser();p.add_argument('--base',required=True,choices=['unedited','0031']);p.add_argument('--slot',required=True,choices=['first','second']);p.add_argument('--dose',type=float,default=.0033);p.add_argument('--draft',action='store_true');a=p.parse_args()\nif a.slot=='second':assert (C/'first_receipt.json').exists()\nroot=S/f\"{'p' if a.base=='unedited' else 'q'}{a.dose}\";rp=json.loads((root/'replay.json').read_text());pf=json.loads((root/'preflight.json').read_text());sz=json.loads((root/'size.json').read_text());pa=json.loads((root/'protection_audit.json').read_text())\nassert safe(rp),'coherence guard failed'\ncovered=[{r['record_index'] for r in v['rows']} for v in rp['arms'].values()];assert len(covered)==2 and covered[0]==covered[1]\nassert len(covered[0]) in ([4] if a.slot=='first' else [2,4])\nif not a.draft:assert (S/'gpu_finished.json').exists() or (S/'gpu_skipped.json').exists()\nslug=f'protected-spectrum-r4-{round(a.dose*10000):03d}'+('' if a.base=='unedited' else '-g1');dst=A/'queue'/slug\nassert not (dst/'READY').exists()\nsm=sz['edit']['summary'];cs=sz['ctrl']['summary'];assert sm['changed']>=100 and sm['net_rel']>=.003\ncalls=[json.loads(l) for l in (C/'replay_calls.jsonl').open()]\ntasks='\\n'.join(f\"- `{r['instance']}`, `{r['run']}`, call {r['call']}.\" for i,r in enumerate(calls) if i in covered[0])\n[line removed by the dashboard scrubber]\nfor arm,v in rp['arms'].items():\n[... 1128 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Verifying parent assignment and preparing instructions**"},{"i":200,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/BRIEF.md; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/protected_first.sh; tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":201,"kind":"output","long":true,"text":" succeeded in 401ms:\n# wsp31 author brief (read fully at the start of every turn)\n\nYou are one of three authors (claude, gpt, gemini) taking turns. Your job: make Gemma 4 31B solve more coding-agent\ntasks **by editing its weights, with no training**. You read the model (weights, activations, traces, failures),\ndecide what to change, build the change as a closed-form edit, predict its effect, and queue it. A separate runner\nspends the rollouts and writes the measured result next to your prediction. You are scored on tasks gained over the\nchampion in the same batch (the unedited model plus the edits that have already passed; see \"The champion\"), on the\nmargin over your matched control, and on how well your predictions held.\n\n**Be bold.** Small safe nudges were tried on the 4B model and were lost in the noise (see `PRIOR_E4B.md`). You get\ntwo entries per round and then wait for their results, so each one counts; a third variation of a null result is a\nwasted round. High-risk ideas with a clear mechanism and a\nprediction that could be wrong are what this programme wants. Say what would prove you wrong.\n\n## Where you work\n\n- Everything happens on host `wrx90`, reached with `ssh -o BatchMode=yes wrx90 ''`. Write scripts in your\n local working directory, copy them with `scp`, run them with ssh. Keep ssh output small (`tail`, `cut`, `head`).\n- Root: `/home/keith/gemma-v2` (below: `$R`). Python: `$R/tii-venv/bin/python` (torch, transformers, vLLM 0.19.1,\n[... 1205 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Adjusting finalizer and caching**"},{"i":202,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'Get-Content turn17/replay.py; Get-Content turn17/protected.py' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":203,"kind":"output","long":true,"text":" succeeded in 66ms:\n\"\"\"Exact-prefix CPU replay and registered dose selection. No generation or tools.\"\"\"\nimport os,sys,json,time,hashlib,argparse\nfrom pathlib import Path\nos.environ['CUDA_VISIBLE_DEVICES']=''\nC=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\nsys.path.insert(0,str(C/'tools'));import torch,g31\ntorch.set_num_threads(16);torch.set_grad_enabled(False)\ndef sha(p):return hashlib.sha256(Path(p).read_bytes()).hexdigest()\ndef spread(x,n):return x if len(x)<=n else [x[round(i*(len(x)-1)/(n-1))] for i in range(n)]\ndef points(r):\n st=r['start'];co=r['comp'];ce=st+co.index(101);ids=r['ids'];lab={}\n for p in spread(list(range(st+3,ce-1)),32):lab[p]='thought'\n for p in spread(list(range(ce+1,len(ids)-1)),64):lab[p]='action'\n for p in range(ce+1,len(ids)-1):\n if ids[p+1] in [52,49,48]:lab[p]='syntax'\n lab[ce-1]='close';lab[ce]='think'\n return sorted(lab),lab\ndef summarize(rows):\n out={}\n[... 2052 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":204,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/freeze_protected.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":205,"kind":"output","long":true,"text":" succeeded in 553ms:\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/finalize.py b/turn17/finalize.py\nnew file mode 100644\n[... 949 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n[line removed by the dashboard scrubber]"},{"i":206,"kind":"assistant","long":false,"text":"The build and its independent rebuild match byte for byte. The stored rank-4 edit moves 120 matrices by 0.33% of the whole network. Its record distinguishes the linear components it protects from full-model behavior, which still needs screening."},{"i":207,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/status.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":208,"kind":"output","long":true,"text":" succeeded in 514ms:\nUTC 2026-11-15 01:40:12\nREPLAY p0.0033 {'edit': {'calls': 1, 'n': 54, 'flips': 0, 'kl': 0.00143, 'dlogp': 0.0075, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.00584}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 0, 'kl': 0.00206, 'dlogp': 0.00538, 'syntax_flips': 0, 'close_flips': 0, 'dclose': 0.00546}}\nREPLAY u0.0033 {'edit': {'calls': 3, 'n': 180, 'flips': 5, 'kl': 0.01538, 'dlogp': -0.01292, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.13379}, 'ctrl': {'calls': 3, 'n': 180, 'flips': 5, 'kl': 0.01249, 'dlogp': -0.01132, 'syntax_flips': 0, 'close_flips': 0, 'dclose': -0.02574}}\nREPLAY u0.01 {'edit': {'calls': 1, 'n': 54, 'flips': 3, 'kl': 0.17478, 'dlogp': -0.12375, 'syntax_flips': 1, 'close_flips': 0, 'dclose': -0.12419}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 2, 'kl': 0.0804, 'dlogp': -0.07082, 'syntax_flips': 0, 'close_flips': 1, 'dclose': -1.33181}}\nREPLAY u0.03 {'edit': {'calls': 1, 'n': 54, 'flips': 37, 'kl': 6.12774, 'dlogp': -5.98125, 'syntax_flips': 3, 'close_flips': 1, 'dclose': -16.00407}, 'ctrl': {'calls': 1, 'n': 54, 'flips': 30, 'kl': 3.08943, 'dlogp': -3.1114, 'syntax_flips': 2, 'close_flips': 1, 'dclose': -2.70966}}\ndose_selection.json {\n \"rule\": \"descending dose; both arms must pass KL<0.1, logged delta>-0.1, close delta>=-0.05, no close or syntax flips; first call then all four\",\n \"scouts\": [\n {\n \"dose\": 0.03,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.01,\n \"call0_pass\": false\n },\n {\n \"dose\": 0.0033,\n \"call0_pass\": true\n[... 1983 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":209,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/complete_round.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":210,"kind":"output","long":true,"text":" succeeded in 578ms:\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\n[... 974 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":211,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/complete_round.py > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/round_driver.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":212,"kind":"output","long":true,"text":" succeeded in 427ms:\n3047895\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 979 lines cut ...]\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Optimizing script monitoring and auditing**\n**Analyzing spectral rank and protection metrics**"},{"i":213,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/protected_first.log; test -f /home/keith/gemma-v2/results/wsp31/batches/b014/champ/rebench/shard0_gpu0/task_results.jsonl && echo CHAMPION_STAGE1_PRESENT'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":214,"kind":"output","long":true,"text":" succeeded in 479ms:\nARM p0.0033 0 ctrl 155.0 {\"all\": {\"n\": 54, \"flips\": 0, \"dlogp\": 0.005381377750013909, \"kl\": 0.0020623494536148065, \"dclose\": 0.16774399823474664, \"base_top_logged\": 54, \"top_logged\": 54}, \"thought\": {\"n\": 32, \"flips\": 0, \"dlogp\": 0.007669421896898454, \"kl\": 0.0029725602850898536, \"dclose\": 0.36075785756111145, \"base_top_logged\": 32, \"top_logged\": 32}, \"action\": {\"n\": 17, \"flips\": 0, \"dlogp\": 0.002336010323845398, \"kl\": 0.0007888796623311577, \"dclose\": 0.05748288771685432, \"base_top_logged\": 17, \"top_logged\": 17}, \"syntax\": {\"n\": 3, \"flips\": 0, \"dlogp\": 4.768117681427005e-07, \"kl\": 8.167137366399402e-06, \"dclose\": -1.1145823796590169, \"base_top_logged\": 3, \"top_logged\": 3}, \"close\": {\"n\": 1, \"flips\": 0, \"dlogp\": 0.005458695814013481, \"kl\": 0.0028091403655707836, \"dclose\": 0.005458695814013481, \"base_top_logged\": 1, \"top_logged\": 1}, \"think\": {\"n\": 1, \"flips\": 0, \"dlogp\": 5.96045310885529e-07, \"kl\": 3.4533502457634313e-07, \"dclose\": -0.12499618530273438, \"base_top_logged\": 1, \"top_logged\": 1}}\nCHAMPION_STAGE1_PRESENT\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n[... 979 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Analyzing timing anomalies**"},{"i":215,"kind":"assistant","long":true,"text":"The first entry\u2019s replay is still running. I\u2019ve prepared the handoff so the 0031-based entry can start as soon as the first passes all four calls and has its READY file. This leaves more of the remaining time for testing the second entry.\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn17\\finish_turn.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn17\\monitor.py\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7d6ce8624829f30593471b35c64b039d74902dda\n--- /dev/null\n+++ b/turn17/complete_round.py\n@@ -0,0 +1,21 @@\n+\"\"\"Finish first entry, then start second, with a strict turn deadline.\"\"\"\n+import os,sys,time,json,subprocess\n+from pathlib import Path\n+from datetime import datetime,timezone\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='4')\n+assert not (C/'first_receipt.json').exists()\n+while time.time() /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/three_driver.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":249,"kind":"output","long":true,"text":" succeeded in 427ms:\n3127381\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 2222 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":250,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/monitor.py turn17/freeze_protected.py turn17/finish_turn.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":251,"kind":"output","long":false,"text":" succeeded in 588ms:"},{"i":252,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/notes_protected.py; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/monitor.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":253,"kind":"output","long":true,"text":" succeeded in 483ms:\nNOTES_WORDS 384\nUTC 01:48:29\np0.0033 {\"edit\": {\"calls\": [0, 1], \"points\": 107, \"flips\": 0, \"kl\": 0.002722, \"dlogp\": 0.006579, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": -0.003594}, \"ctrl\": {\"calls\": [0, 1], \"points\": 107, \"flips\": 0, \"kl\": 0.003495, \"dlogp\": -0.00013, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.003119}}\nprotected_first.log ARM p0.0033 1 edit 242.2 | ARM p0.0033 1 ctrl 203.4\nthree_driver.log \nINPUT_LENGTHS [(0, 3318), (1, 3511), (2, 3422), (3, 5397)]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n[... 1103 lines cut ...]\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Verifying task preparation**\n**Managing task coordination**"},{"i":254,"kind":"assistant","long":true,"text":"The three-call limit and unchanged warning thresholds are now recorded. The final audit will remeasure the frozen queue copies, check their hashes and READY files, and leave a concise NOTES.md for the next turn.\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7d6ce8624829f30593471b35c64b039d74902dda\n--- /dev/null\n+++ b/turn17/complete_round.py\n@@ -0,0 +1,21 @@\n+\"\"\"Finish first entry, then start second, with a strict turn deadline.\"\"\"\n+import os,sys,time,json,subprocess\n+from pathlib import Path\n+from datetime import datetime,timezone\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='4')\n+assert not (C/'first_receipt.json').exists()\n+while time.time()1 else S/'u0.0033';d=json.loads((root/'replay.json').read_text());out=[]\nfor arm,v in d['arms'].items():\n for r in v['rows']:\n if r['base_top']==r['top']:continue\n c=calls[r['record_index']];p=r['pos'];before=tok.decode(c['ids'][max(c['start'],p-20):p+1])\n before=re.sub(r'\\b(?:\\d{1,3}\\.){3}\\d{1,3}\\b','[address removed]',before)\n out.append({k:r[k] for k in ['instance','call','pos','kind']}|{'arm':arm,'before':before,'base':tok.decode([r['base_top']]),'edited':tok.decode([r['top']])})\n[line removed by the dashboard scrubber]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n[... 1108 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Assessing code changes and diagnostics**"},{"i":260,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/inspect_flips.py /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/p0.0033'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":261,"kind":"output","long":true,"text":" succeeded in 6895ms:\n[\n {\n[line removed by the dashboard scrubber]\n \"call\": 2,\n \"pos\": 3349,\n \"kind\": \"thought\",\n \"arm\": \"edit\",\n \"before\": \"<|channel>thought\\nWait,\",\n \"base\": \" the\",\n \"edited\": \" I\"\n },\n {\n[line removed by the dashboard scrubber]\n \"call\": 2,\n \"pos\": 3362,\n \"kind\": \"thought\",\n \"arm\": \"edit\",\n \"before\": \"<|channel>thought\\nWait, the `_validate_aud` method seems to be cut off\",\n \"base\": \" in\",\n[... 2239 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":262,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/monitor.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":263,"kind":"output","long":true,"text":" succeeded in 358ms:\nUTC 01:51:08\np0.0033 {\"edit\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003816, \"dlogp\": 0.00749, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.04176}, \"ctrl\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003898, \"dlogp\": 0.000259, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.023217}}\nfirst_receipt.json protected-spectrum-r4-033 2026-11-15T01:50:56Z\nprotected_first.log ARM p0.0033 2 edit 134.4 | ARM p0.0033 2 ctrl 125.6\nthree_driver.log RUN ['/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/protected.py', 'fit', '--base', '0031'] | FIT 0031 0 3.3\nINPUT_LENGTHS [(0, 3318), (1, 3511), (2, 3422), (3, 5397)]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n[... 1102 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Preparing initial data checks**"},{"i":264,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":265,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/first_receipt.json; head -12 /home/keith/gemma-v2/wsp31/authors/gpt/queue/protected-spectrum-r4-033/record.md; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/champion_stage1_audit.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":266,"kind":"output","long":true,"text":" succeeded in 356ms:\n{\n \"slug\": \"protected-spectrum-r4-033\",\n \"base\": \"unedited\",\n \"dose\": 0.0033,\n \"path\": \"/home/keith/gemma-v2/wsp31/authors/gpt/queue/protected-spectrum-r4-033\",\n \"ready_utc\": \"2026-11-15T01:50:56Z\",\n \"record_sha256\": \"945237e3d0d5e11958c3af2daedc70e0ec8baf8b7e57d2bdac4d74dfb13fbc69\",\n \"edit_sha256\": \"77119af918efc0b9ffcbd2993e9dfaf1fd861afb502ae1d37193901d2994ca67\",\n \"ctrl_sha256\": \"25f5966552b024d0be1b56e03e8ef8ab7d380c4f70241c537f6ef3f7ce3af177\",\n \"size\": {\n \"r\": 4,\n \"scale\": 2.0,\n \"changed\": 120,\n \"of\": 420,\n \"net_rel\": 0.0032999931705001216,\n \"rel_median\": 0.008450501872588695,\n \"rel_min\": 0.008449203518718976,\n \"rel_max\": 0.008453033992256567,\n \"rel_max_mod\": \"28.o_proj\",\n[... 2296 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":267,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/freeze_protected.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":268,"kind":"output","long":false,"text":" succeeded in 468ms:"},{"i":269,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/monitor.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":270,"kind":"output","long":true,"text":" succeeded in 367ms:\nUTC 01:51:45\np0.0033 {\"edit\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003816, \"dlogp\": 0.00749, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.04176}, \"ctrl\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003898, \"dlogp\": 0.000259, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.023217}}\nfirst_receipt.json protected-spectrum-r4-033 2026-11-15T01:50:56Z\nprotected_first.log ARM p0.0033 2 edit 134.4 | ARM p0.0033 2 ctrl 125.6\nthree_driver.log FIT 0031 5 20.1 | FIT 0031 10 39.4\nINPUT_LENGTHS [(0, 3318), (1, 3511), (2, 3422), (3, 5397)]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n[... 1103 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Verifying freeze records**"},{"i":271,"kind":"assistant","long":true,"text":"The allowed stage-1 champion traces include finished, nonempty patches that failed despite the model\u2019s claims of correctness. The second record now uses those failures to make the success criterion explicit: shorter reasoning must also produce more correct patches.\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7d6ce8624829f30593471b35c64b039d74902dda\n--- /dev/null\n+++ b/turn17/complete_round.py\n@@ -0,0 +1,21 @@\n+\"\"\"Finish first entry, then start second, with a strict turn deadline.\"\"\"\n+import os,sys,time,json,subprocess\n+from pathlib import Path\n+from datetime import datetime,timezone\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='4')\n+assert not (C/'first_receipt.json').exists()\n+while time.time()thought\\nOkay, I\",\n \"base\": \" have\",\n \"edited\": \"'\"\n },\n {\n \"instance\": \"[task]\",\n \"call\": 21,\n \"pos\": 5296,\n \"kind\": \"thought\",\n \"arm\": \"edit\",\n \"before\": \" sentinel and update the two methods.\\n\\nWait, I should check if `_SENTINEL` is\",\n \"base\": \" used\",\n[... 2319 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":336,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/fallback_second.py turn17/freeze_protected.py turn17/monitor.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":337,"kind":"output","long":false,"text":" succeeded in 651ms:"},{"i":338,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/fallback_second.py > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17/fallback_second.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":339,"kind":"output","long":true,"text":" succeeded in 234ms:\n3446548\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 2315 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":340,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/freeze_protected.py turn17/notes_protected.py turn17/finish_turn.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":341,"kind":"output","long":false,"text":" succeeded in 1148ms:"},{"i":342,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/notes_protected.py; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/monitor.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":343,"kind":"output","long":true,"text":" succeeded in 340ms:\nNOTES_WORDS 403\nUTC 02:11:53\np0.0033 {\"edit\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003816, \"dlogp\": 0.00749, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.04176}, \"ctrl\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003898, \"dlogp\": 0.000259, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.023217}}\nq0.01 {\"edit\": {\"calls\": [0, 3], \"points\": 150, \"flips\": 4, \"kl\": 0.036873, \"dlogp\": 0.015489, \"syntax_flips\": 0, \"close_flips\": 1, \"close_delta\": -0.241917}, \"ctrl\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.015944, \"dlogp\": 0.021084, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.019861}}\nfirst_receipt.json protected-spectrum-r4-033 2026-11-15T01:50:56Z\nprotected_first.log ARM p0.0033 2 edit 134.4 | ARM p0.0033 2 ctrl 125.6\nthree_driver.log BASE 0031 3 163.0 | ARM q0.01 3 edit 159.7\nfallback_second.log OK stacked 2 adapters: rank 5, 240 modules, 57414648 bytes | OK stacked 2 adapters: rank 5, 240 modules, 57414648 bytes\nINPUT_LENGTHS [(0, 3318), (1, 3511), (2, 3422), (3, 5397)]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n[... 1152 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Evaluating test timing and failure risks**"},{"i":344,"kind":"assistant","long":true,"text":"The 0.33% replacement has passed the build checks and is replaying on the same two calls. The failed 1% result is preserved: its edit completed both calls, while its control completed only the first. No 1% READY file was created.\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7d6ce8624829f30593471b35c64b039d74902dda\n--- /dev/null\n+++ b/turn17/complete_round.py\n@@ -0,0 +1,21 @@\n+\"\"\"Finish first entry, then start second, with a strict turn deadline.\"\"\"\n+import os,sys,time,json,subprocess\n+from pathlib import Path\n+from datetime import datetime,timezone\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='4')\n+assert not (C/'first_receipt.json').exists()\n+while time.time()0\n[line removed by the dashboard scrubber]\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='8')\n+def run(args,timeout=None):\n+ print('RUN',args,flush=True);subprocess.run([sys.executable]+args,env=env,check=True,timeout=timeout)\n+run([str(C/'protected.py'),'build','--base','0031','--dose','.0033','--out',str(S/'q0.0033')])\n+run([str(C/'preflight.py'),'--protected','0031','.0033'])\n+run([str(C/'protected_verify.py'),'0031','.0033'])\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+try:run([str(C/'replay.py'),'--base','0031','--root',str(S/'q0.0033'),'--indices','0,3'],timeout=max(1,int(deadline-time.time()-120)))\n+except subprocess.TimeoutExpired:\n+ (S/'second_incomplete.json').write_text(json.dumps({'time':time.time(),'reason':'0.33% replacement replay exceeded turn budget; no second READY'}));raise\n+run([str(C/'fr\n[... 84019 characters cut ...]"},{"i":345,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/monitor.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":346,"kind":"output","long":true,"text":" succeeded in 244ms:\nUTC 02:13:08\np0.0033 {\"edit\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003816, \"dlogp\": 0.00749, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.04176}, \"ctrl\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003898, \"dlogp\": 0.000259, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.023217}}\nq0.01 {\"edit\": {\"calls\": [0, 3], \"points\": 150, \"flips\": 4, \"kl\": 0.036873, \"dlogp\": 0.015489, \"syntax_flips\": 0, \"close_flips\": 1, \"close_delta\": -0.241917}, \"ctrl\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.015944, \"dlogp\": 0.021084, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.019861}}\nfirst_receipt.json protected-spectrum-r4-033 2026-11-15T01:50:56Z\nprotected_first.log ARM p0.0033 2 edit 134.4 | ARM p0.0033 2 ctrl 125.6\nthree_driver.log BASE 0031 3 163.0 | ARM q0.01 3 edit 159.7\nfallback_second.log OK stacked 2 adapters: rank 5, 240 modules, 57414648 bytes | OK stacked 2 adapters: rank 5, 240 modules, 57414648 bytes\nINPUT_LENGTHS [(0, 3318), (1, 3511), (2, 3422), (3, 5397)]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n[... 1151 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Managing precompute and cache readiness**"},{"i":347,"kind":"assistant","long":true,"text":"The replacement\u2019s first pass is still running. Its comparison uses the saved g01 references with matching input hashes; both the edit and control still need fresh forward passes.\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7d6ce8624829f30593471b35c64b039d74902dda\n--- /dev/null\n+++ b/turn17/complete_round.py\n@@ -0,0 +1,21 @@\n+\"\"\"Finish first entry, then start second, with a strict turn deadline.\"\"\"\n+import os,sys,time,json,subprocess\n+from pathlib import Path\n+from datetime import datetime,timezone\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='4')\n+assert not (C/'first_receipt.json').exists()\n+while time.time()0\n[line removed by the dashboard scrubber]\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='8')\n+def run(args,timeout=None):\n+ print('RUN',args,flush=True);subprocess.run([sys.executable]+args,env=env,check=True,timeout=timeout)\n+run([str(C/'protected.py'),'build','--base','0031','--dose','.0033','--out',str(S/'q0.0033')])\n+run([str(C/'preflight.py'),'--protected','0031','.0033'])\n+run([str(C/'protected_verify.py'),'0031','.0033'])\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+try:run([str(C/'replay.py'),'--base','0031','--root',str(S/'q0.0033'),'--indices','0,3'],timeout=max(1,int(deadline-time.time()-120)))\n+except subprocess.TimeoutExpired:\n+ (S/'second_incomplete.json').write_text(json.dumps({'time':time.time(),'reason':'0.33% replacement replay exceeded turn budget; no second READY'}));raise\n+run([str(C/'freeze_protected.py'),'--base','0031','--slot','secon\n[... 83968 characters cut ...]"},{"i":348,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/monitor.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":349,"kind":"output","long":true,"text":" succeeded in 250ms:\nUTC 02:14:23\np0.0033 {\"edit\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003816, \"dlogp\": 0.00749, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.04176}, \"ctrl\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003898, \"dlogp\": 0.000259, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.023217}}\nq0.01 {\"edit\": {\"calls\": [0, 3], \"points\": 150, \"flips\": 4, \"kl\": 0.036873, \"dlogp\": 0.015489, \"syntax_flips\": 0, \"close_flips\": 1, \"close_delta\": -0.241917}, \"ctrl\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.015944, \"dlogp\": 0.021084, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.019861}}\nq0.0033 {\"edit\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.001334, \"dlogp\": 0.007369, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": -0.021727}}\nfirst_receipt.json protected-spectrum-r4-033 2026-11-15T01:50:56Z\nprotected_first.log ARM p0.0033 2 edit 134.4 | ARM p0.0033 2 ctrl 125.6\nthree_driver.log BASE 0031 3 163.0 | ARM q0.01 3 edit 159.7\nfallback_second.log OK stacked 2 adapters: rank 5, 240 modules, 57414648 bytes | ARM q0.0033 0 edit 118.4\nINPUT_LENGTHS [(0, 3318), (1, 3511), (2, 3422), (3, 5397)]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n[... 1153 lines cut ...]\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Summarizing operation status and constraints**\n**Finalizing disk usage audit script**"},{"i":350,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn17\\finish_turn.py\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7d6ce8624829f30593471b35c64b039d74902dda\n--- /dev/null\n+++ b/turn17/complete_round.py\n@@ -0,0 +1,21 @@\n+\"\"\"Finish first entry, then start second, with a strict turn deadline.\"\"\"\n+import os,sys,time,json,subprocess\n+from pathlib import Path\n+from datetime import datetime,timezone\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='4')\n+assert not (C/'first_receipt.json').exists()\n+while time.time()0\n[line removed by the dashboard scrubber]\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='8')\n+def run(args,timeout=None):\n+ print('RUN',args,flush=True);subprocess.run([sys.executable]+args,env=env,check=True,timeout=timeout)\n+run([str(C/'protected.py'),'build','--base','0031','--dose','.0033','--out',str(S/'q0.0033')])\n+run([str(C/'preflight.py'),'--protected','0031','.0033'])\n+run([str(C/'protected_verify.py'),'0031','.0033'])\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+try:run([str(C/'replay.py'),'--base','0031','--root',str(S/'q0.0033'),'--indices','0,3'],timeout=max(1,int(deadline-time.time()-120)))\n+except subprocess.TimeoutExpired:\n+ (S/'second_incomplete.json').write_text(json.dumps({'time':time.time(),'reason':'0.33% replacement replay exceeded turn budget; no second READY'}));raise\n+run([str(C/'freeze_protected.py'),'--base','0031','--slot','second','--dose','.0033'])\n+run([str(C/'notes_protected.p\n[... 84092 characters cut ...]"},{"i":351,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/finish_turn.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":352,"kind":"output","long":true,"text":" succeeded in 2282ms:\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\n[... 1144 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Verifying scratch directory size**"},{"i":353,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'du -sb /home/keith/gemma-v2/wsp31/authors/gpt/scratch /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn17'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":354,"kind":"output","long":true,"text":" succeeded in 234ms:\n5798617091\t/home/keith/gemma-v2/wsp31/authors/gpt/scratch\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 2315 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":355,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/monitor.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":356,"kind":"output","long":true,"text":" succeeded in 245ms:\nUTC 02:15:57\np0.0033 {\"edit\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003816, \"dlogp\": 0.00749, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.04176}, \"ctrl\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003898, \"dlogp\": 0.000259, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.023217}}\nq0.01 {\"edit\": {\"calls\": [0, 3], \"points\": 150, \"flips\": 4, \"kl\": 0.036873, \"dlogp\": 0.015489, \"syntax_flips\": 0, \"close_flips\": 1, \"close_delta\": -0.241917}, \"ctrl\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.015944, \"dlogp\": 0.021084, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.019861}}\nq0.0033 {\"edit\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.001334, \"dlogp\": 0.007369, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": -0.021727}, \"ctrl\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.000852, \"dlogp\": 0.004468, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.011839}}\nfirst_receipt.json protected-spectrum-r4-033 2026-11-15T01:50:56Z\nprotected_first.log ARM p0.0033 2 edit 134.4 | ARM p0.0033 2 ctrl 125.6\nthree_driver.log BASE 0031 3 163.0 | ARM q0.01 3 edit 159.7\nfallback_second.log ARM q0.0033 0 edit 118.4 | ARM q0.0033 0 ctrl 78.1\nINPUT_LENGTHS [(0, 3318), (1, 3511), (2, 3422), (3, 5397)]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n[... 1154 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Reviewing initial question status**"},{"i":357,"kind":"assistant","long":true,"text":"Both replacement arms pass the first call. The longer call\u2019s edit and control are now the only remaining pre-tests. Scratch use is 5.80 GB, below the 10 GB limit.\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7d6ce8624829f30593471b35c64b039d74902dda\n--- /dev/null\n+++ b/turn17/complete_round.py\n@@ -0,0 +1,21 @@\n+\"\"\"Finish first entry, then start second, with a strict turn deadline.\"\"\"\n+import os,sys,time,json,subprocess\n+from pathlib import Path\n+from datetime import datetime,timezone\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='4')\n+assert not (C/'first_receipt.json').exists()\n+while time.time()0\n[line removed by the dashboard scrubber]\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='8')\n+def run(args,timeout=None):\n+ print('RUN',args,flush=True);subprocess.run([sys.executable]+args,env=env,check=True,timeout=timeout)\n+run([str(C/'protected.py'),'build','--base','0031','--dose','.0033','--out',str(S/'q0.0033')])\n+run([str(C/'preflight.py'),'--protected','0031','.0033'])\n+run([str(C/'protected_verify.py'),'0031','.0033'])\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+try:run([str(C/'replay.py'),'--base','0031','--root',str(S/'q0.0033'),'--indices','0,3'],timeout=max(1,int(deadline-time.time()-120)))\n+except subprocess.TimeoutExpired:\n+ (S/'second_incomplete.json').write_text(json.dumps({'time':time.time(),'reason':'0.33% replacement replay exceeded turn budget; no second READY'}));raise\n+run([str(C/'freeze_protected.py'),'--base','0031','--slot','second','--dose','.00\n[... 84128 characters cut ...]"},{"i":358,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/monitor.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":359,"kind":"output","long":true,"text":" succeeded in 309ms:\nUTC 02:16:51\np0.0033 {\"edit\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003816, \"dlogp\": 0.00749, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.04176}, \"ctrl\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003898, \"dlogp\": 0.000259, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.023217}}\nq0.01 {\"edit\": {\"calls\": [0, 3], \"points\": 150, \"flips\": 4, \"kl\": 0.036873, \"dlogp\": 0.015489, \"syntax_flips\": 0, \"close_flips\": 1, \"close_delta\": -0.241917}, \"ctrl\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.015944, \"dlogp\": 0.021084, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.019861}}\nq0.0033 {\"edit\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.001334, \"dlogp\": 0.007369, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": -0.021727}, \"ctrl\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.000852, \"dlogp\": 0.004468, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.011839}}\nfirst_receipt.json protected-spectrum-r4-033 2026-11-15T01:50:56Z\nprotected_first.log ARM p0.0033 2 edit 134.4 | ARM p0.0033 2 ctrl 125.6\nthree_driver.log BASE 0031 3 163.0 | ARM q0.01 3 edit 159.7\nfallback_second.log ARM q0.0033 0 edit 118.4 | ARM q0.0033 0 ctrl 78.1\nINPUT_LENGTHS [(0, 3318), (1, 3511), (2, 3422), (3, 5397)]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n[... 1156 lines cut ...]\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n[line removed by the dashboard scrubber]\n**Evaluating global status necessity**\n**Noting update timing**"},{"i":360,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7d6ce8624829f30593471b35c64b039d74902dda\n--- /dev/null\n+++ b/turn17/complete_round.py\n@@ -0,0 +1,21 @@\n+\"\"\"Finish first entry, then start second, with a strict turn deadline.\"\"\"\n+import os,sys,time,json,subprocess\n+from pathlib import Path\n+from datetime import datetime,timezone\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='4')\n+assert not (C/'first_receipt.json').exists()\n+while time.time()0\n[line removed by the dashboard scrubber]\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='8')\n+def run(args,timeout=None):\n+ print('RUN',args,flush=True);subprocess.run([sys.executable]+args,env=env,check=True,timeout=timeout)\n+run([str(C/'protected.py'),'build','--base','0031','--dose','.0033','--out',str(S/'q0.0033')])\n+run([str(C/'preflight.py'),'--protected','0031','.0033'])\n+run([str(C/'protected_verify.py'),'0031','.0033'])\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+try:run([str(C/'replay.py'),'--base','0031','--root',str(S/'q0.0033'),'--indices','0,3'],timeout=max(1,int(deadline-time.time()-120)))\n+except subprocess.TimeoutExpired:\n+ (S/'second_incomplete.json').write_text(json.dumps({'time':time.time(),'reason':'0.33% replacement replay exceeded turn budget; no second READY'}));raise\n+run([str(C/'freeze_protected.py'),'--base','0031','--slot','second','--dose','.0033'])\n+run([str(C/'notes_protected.py')]);(S/'SECOND_DONE').touch();print('SECOND_DONE',flush=True)\ndiff --git a/turn17/fi\n[... 84006 characters cut ...]"},{"i":361,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/monitor.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":362,"kind":"output","long":true,"text":" succeeded in 296ms:\nUTC 02:18:09\np0.0033 {\"edit\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003816, \"dlogp\": 0.00749, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.04176}, \"ctrl\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003898, \"dlogp\": 0.000259, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.023217}}\nq0.01 {\"edit\": {\"calls\": [0, 3], \"points\": 150, \"flips\": 4, \"kl\": 0.036873, \"dlogp\": 0.015489, \"syntax_flips\": 0, \"close_flips\": 1, \"close_delta\": -0.241917}, \"ctrl\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.015944, \"dlogp\": 0.021084, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.019861}}\nq0.0033 {\"edit\": {\"calls\": [0, 3], \"points\": 150, \"flips\": 3, \"kl\": 0.004793, \"dlogp\": -0.001548, \"syntax_flips\": 0, \"close_flips\": 1, \"close_delta\": -0.131327}, \"ctrl\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.000852, \"dlogp\": 0.004468, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.011839}}\nfirst_receipt.json protected-spectrum-r4-033 2026-11-15T01:50:56Z\nprotected_first.log ARM p0.0033 2 edit 134.4 | ARM p0.0033 2 ctrl 125.6\nthree_driver.log BASE 0031 3 163.0 | ARM q0.01 3 edit 159.7\nfallback_second.log ARM q0.0033 0 ctrl 78.1 | ARM q0.0033 3 edit 141.0\nINPUT_LENGTHS [(0, 3318), (1, 3511), (2, 3422), (3, 5397)]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n[... 1156 lines cut ...]\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Analyzing task constraints and queue management**\n**Managing replay with resource constraints**\n**Assessing task completion status**"},{"i":363,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n**Summarizing final audit process**\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn17\\finish_turn.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn17\\notes_protected.py\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7d6ce8624829f30593471b35c64b039d74902dda\n--- /dev/null\n+++ b/turn17/complete_round.py\n@@ -0,0 +1,21 @@\n+\"\"\"Finish first entry, then start second, with a strict turn deadline.\"\"\"\n+import os,sys,time,json,subprocess\n+from pathlib import Path\n+from datetime import datetime,timezone\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='4')\n+assert not (C/'first_receipt.json').exists()\n+while time.time()0\n[line removed by the dashboard scrubber]\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='8')\n+def run(args,timeout=None):\n+ print('RUN',args,flush=True);subprocess.run([sys.executable]+args,env=env,check=True,timeout=timeout)\n+run([str(C/'protected.py'),'build','--base','0031','--dose','.0033','--out',str(S/'q0.0033')])\n+run([str(C/'preflight.py'),'--protected','0031','.0033'])\n+run([str(C/'protected_verify.py'),'0031','.0033'])\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+try:run([str(C/'replay.py'),'--base','0031','--root',str(S/'q0.0033'),'--indices','0,3'],timeout=max(1,int(deadline-time.time()-120)))\n+except subprocess.TimeoutExpired:\n+ (S/'second_incomplete.json').write_text(json.dumps({'time':time.time(),'reason':'0.33% replacement replay exceeded turn budget; no second READY'}));raise\n+run([str(C/'freeze_p\n[... 85076 characters cut ...]"},{"i":364,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/finish_turn.py turn17/notes_protected.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":365,"kind":"output","long":false,"text":" succeeded in 267ms:"},{"i":366,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/notes_protected.py; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/monitor.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":367,"kind":"output","long":true,"text":" succeeded in 257ms:\nNOTES_WORDS 416\nUTC 02:19:40\np0.0033 {\"edit\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003816, \"dlogp\": 0.00749, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.04176}, \"ctrl\": {\"calls\": [0, 1, 2], \"points\": 180, \"flips\": 2, \"kl\": 0.003898, \"dlogp\": 0.000259, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.023217}}\nq0.01 {\"edit\": {\"calls\": [0, 3], \"points\": 150, \"flips\": 4, \"kl\": 0.036873, \"dlogp\": 0.015489, \"syntax_flips\": 0, \"close_flips\": 1, \"close_delta\": -0.241917}, \"ctrl\": {\"calls\": [0], \"points\": 54, \"flips\": 0, \"kl\": 0.015944, \"dlogp\": 0.021084, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": 0.019861}}\nq0.0033 {\"edit\": {\"calls\": [0, 3], \"points\": 150, \"flips\": 3, \"kl\": 0.004793, \"dlogp\": -0.001548, \"syntax_flips\": 0, \"close_flips\": 1, \"close_delta\": -0.131327}, \"ctrl\": {\"calls\": [0, 3], \"points\": 150, \"flips\": 0, \"kl\": 0.002121, \"dlogp\": 0.001852, \"syntax_flips\": 0, \"close_flips\": 0, \"close_delta\": -0.051435}}\nfirst_receipt.json protected-spectrum-r4-033 2026-11-15T01:50:56Z\nprotected_first.log ARM p0.0033 2 edit 134.4 | ARM p0.0033 2 ctrl 125.6\nthree_driver.log BASE 0031 3 163.0 | ARM q0.01 3 edit 159.7\nfallback_second.log output=stdout, stderr=stderr) | subprocess.CalledProcessError: Command '['/home/keith/gemma-v2/tii-venv/bin/python', '/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/freeze_protected.py', '--base', '0031', '--\nINPUT_LENGTHS [(0, 3318), (1, 3511), (2, 3422), (3, 5397)]\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n[... 1167 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Finalizing audit and verification process**"},{"i":368,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":369,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/finish_turn.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":370,"kind":"output","long":true,"text":" succeeded in 1253ms:\nFINAL_AUDIT {\"entries\": 1, \"notes_words\": 449, \"completed_utc\": \"2026-11-15T02:20:10Z\", \"slugs\": [\"protected-spectrum-r4-033\"]}\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 1158 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Verifying process states and final notes**"},{"i":371,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":372,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ps -p 2644444,2917619,2960429,3047895,3127381,3170895,3229432,3446548 -o pid,stat,args; ps --ppid 3446548 -o pid,stat,args'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":373,"kind":"output","long":true,"text":" succeeded in 255ms:\n# Author gpt - turn 17 complete\n\n[line removed by the dashboard scrubber]\n\n- protected-spectrum-r4-033: base unedited, READY 2026-11-15T01:50:56Z. Rank 4, 120 writers, whole-network 0.329999%. CPU 3 calls, 180 points per arm: edit/control top changes 2/2, KL 0.003816/0.003898, recorded-close delta +0.041760/+0.023217. No syntax or close top changes.\n\nBoth arms passed official CPU checkers on the final queue copies. Stored sizes were remeasured there; hashes match the immutable receipts. Independent config, weight and metadata rebuilds matched byte for byte. Exact reversed controls match rank, layers and matrix norms. CPU edited-serving agreement remains NOT VERIFIED. Replay uses reused stage1 exact prefixes and cannot show task gains or generalization.\n\n[line removed by the dashboard scrubber]\n\nUnprotected scouts at 3% and 1% broke syntax or closes. At 0.33%, three-call replay retained top closes but lowered their mean log p by 0.133786, beyond the -0.05 warning. Stopped before the fourth call; no scout READY. Preserve this failed evidence.\n\nLast round: 0027 reader 0.33% null (-2); 0063 reader 0.66% harmful (-12, 12 empty patches versus 5). End code/prose damping. Earlier CPU guards did not predict rollout harm. 0048 awaits its runner result; no sealed task data read.\n\nGPU pre-tests not run: The required TURN_OPEN marker is absent at lock acquisition; TOOLS.md permits GPU use only while that marker exists. No server started, no generated-turn toolcall_check, GPU closeprobe or delimprobe result. GPU 1 untouched. No agent rollouts launched. The absent TURN_OPEN marker, rather than an exhausted GPU wait, prevented serving tests.\n\n[line removed by the dashboard scrubber]\n\n exited 1 in 275ms:\n[... 2377 lines cut ...]\n[line removed by the dashboard scrubber]\n+\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))"},{"i":374,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn17/tidy_notes.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":375,"kind":"output","long":false,"text":" succeeded in 292ms:"},{"i":376,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn17/tidy_notes.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":377,"kind":"output","long":true,"text":" succeeded in 246ms:\nNOTES_WORDS 454\n\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\n[... 1173 lines cut ...]\n+Dose search: {json.dumps(selection)}. 3% first-call edit broke syntax and close (37/54 flips, KL 6.13); reverse also broke (30/54, KL 3.09). It is not queued. Larger dose can invert a selected mode (max alpha 1.505). CPU replay uses exact prefixes on four reused stage1 development calls, mirror=True; edited CPU backend NOT VERIFIED against serving. Never claim these checks predict solve rate.\n+\n+{gpu} Free-generated syntax and long-thought behavior are missing unless generation.json proves otherwise. Keep all code/turn17 inputs and receipts; scratch remains below 10 GB. Remaining: finish selected replay, checks, reproducibility, record and READY; then consider the second base. Full preflight receipts and official size reports are under each scratch candidate.\n+'''\n+assert len(text.split())<600,len(text.split());(A/'NOTES.md').write_text(text)\n+print('NOTES_WORDS',len(text.split()))\n\n**Formatting final summary**"},{"i":378,"kind":"assistant","long":true,"text":"READY: `protected-spectrum-r4-033`, unedited base, rank 4, 0.33% across 120 matrices. \nTests reduced repetition by damping secondary writer modes; reversed control included. \nCPU checkers, exact rebuilds, and 180-point replay passed; serving agreement remains unverified. \n[line removed by the dashboard scrubber]\nGPU tests skipped because TURN_OPEN was absent. NOTES.md and final audit saved; one entry submitted.\ndiff --git a/turn17/build_first.sh b/turn17/build_first.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..08993a30ecd64f1e6bf01f5f0e287988a1713b16\n--- /dev/null\n+++ b/turn17/build_first.sh\n@@ -0,0 +1,11 @@\n+#!/bin/bash\n+set -euo pipefail\n+A=/home/keith/gemma-v2/wsp31/authors/gpt\n+PY=/home/keith/gemma-v2/tii-venv/bin/python\n+export CUDA_VISIBLE_DEVICES=''\n+export WSP31_WORK=$A/scratch/turn17\n+export OMP_NUM_THREADS=8\n+$PY -u \"$A/code/turn17/spectral.py\" fit --base unedited\n+for dose in 0.0033 0.01 0.03; do\n+ $PY -u \"$A/code/turn17/spectral.py\" build --base unedited --out \"$A/scratch/turn17/u$dose\" --dose \"$dose\"\n+done\ndiff --git a/turn17/complete_round.py b/turn17/complete_round.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7d6ce8624829f30593471b35c64b039d74902dda\n--- /dev/null\n+++ b/turn17/complete_round.py\n@@ -0,0 +1,21 @@\n+\"\"\"Finish first entry, then start second, with a strict turn deadline.\"\"\"\n+import os,sys,time,json,subprocess\n+from pathlib import Path\n+from datetime import datetime,timezone\n+C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn17'\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='4')\n+assert not (C/'first_receipt.json').exists()\n+while time.time()0\n[line removed by the dashboard scrubber]\n+env=os.environ.copy();env.update(CUDA_VISIBLE_DEVICES='',WSP31_WORK=str(S),OMP_NUM_THREADS='8')\n+def run(args,timeout=None):\n+ print('RUN',args,flush=True);subprocess.run([sys.executable]+args,env=env,check=True,timeout=timeout)\n+run([str(C/'protected.py'),'build','--base','0031','--dose','.0033','--out',str(S/'q0.0033')])\n+run([str(C/'preflight.py'),'--protected','0031','.0033'])\n+run([str(C/'protected_verify.py'),'0031','.0033'])\n+deadline=datetime(2026,11,15,2,25,25,tzinfo=timezone.utc).timestamp()\n+try:run([str(C/'replay.py'),'--base','0031','--root',str(S/'q0.0033'),'--indices','0,3'],timeout=max(1,int(deadline-time.time()-120)))\n+except subprocess.Ti\n[... 86080 characters cut ...]"},{"i":379,"kind":"meta","long":false,"text":"353,462\nREADY: `protected-spectrum-r4-033`, unedited base, rank 4, 0.33% across 120 matrices. \nTests reduced repetition by damping secondary writer modes; reversed control included. \nCPU checkers, exact rebuilds, and 180-point replay passed; serving agreement remains unverified. \n[line removed by the dashboard scrubber]\nGPU tests skipped because TURN_OPEN was absent. NOTES.md and final audit saved; one entry submitted."}],"updated":"2026-11-15T02:21:21Z"}