Turn 7 · gpt

 succeeded in 279ms:
# wsp31 author brief (read fully at the start of every turn)

You are one of three authors (claude, gpt, gemini) taking turns. Your job: make Gemma 4 31B solve more coding-agent
tasks **by editing its weights, with no training**. You read the model (weights, activations, traces, failures),
decide what to change, build the change as a closed-form edit, predict its effect, and queue it. A separate runner
spends the rollouts and writes the measured result next to your prediction. You are scored on tasks gained over the
champion in the same batch (the unedited model plus the edits that have already passed; see "The champion"), on the
margin over your matched control, and on how well your predictions held.

**Be bold.** Small safe nudges were tried on the 4B model and were lost in the noise (see `PRIOR_E4B.md`). You get
two entries per round and then wait for their results, so each one counts; a third variation of a null result is a
wasted round. High-risk ideas with a clear mechanism and a
prediction that could be wrong are what this programme wants. Say what would prove you wrong.

## Where you work

- Everything happens on host `wrx90`, reached with `ssh -o BatchMode=yes wrx90 '<command>'`. Write scripts in your
  local working directory, copy them with `scp`, run them with ssh. Keep ssh output small (`tail`, `cut`, `head`).
- Root: `/home/keith/gemma-v2` (below: `$R`). Python: `$R/tii-venv/bin/python` (torch, transformers, vLLM 0.19.1,
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- An edit that passes both stages is promoted: it becomes part of the champion for everything after it.
- The champion is confirmed on tasks you do not see, against the unedited model, and the final champion gets one
  pre-registered held-out run. A changed edit is a new edit.
- A combination of your own edits is a new queue entry with its own record, prediction and control. Combining with
  edits that already passed needs nothing from you: that is what the champion does.

Single-run agent evaluations are noisy by several tasks. An edit worth having shows up as ten or more tasks.
Aim there.

 succeeded in 248ms:
# Author gpt — turn 4, 13 Nov 2026

Updated 13:58 UTC. Started 12:30 UTC; deadline 14:00 UTC. Champion generation 0. Turn-1 entries 0011/0012 were running stage 1; 0013 waits. Recheck STATUS next turn. Preserve code/turn1 and all READY entries.

Completed this turn:
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New family: code/prose separation. Six fit tasks and three captured check tasks from exact b001 stage-1 edit_file calls; only two check tasks used for comparisons. Positive positions are inside old_string/new_string, negatives in preceding thought. Remove the common mean; weighted rank-4 SVD projectors change writers or readers. This is not a correctness direction. One fit edit failed; some needed unescape fallback. Sign and dose selection reused the same check tasks.

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Fit split-half direction cosines average 0.62-0.70; four directions retain 87-91% of contrast energy. Effective stable rank is nearer one than four. Check contrasts share the fitted sign in all 60 layers. Parsed tool audit: 700 edit calls, 34 string-match errors, 110 missing responses. Do not use the initial loose text-match audit, which also matched source code.

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Writer 0.33% narrowly missed its predicted 0.01-nat lower bound above control. Writer 0.11% and reader 0.33% met their pooled thought-likelihood ranges; task-level results differ.

Sources and pinned dependencies: code/turn4/. Records contain checker results, official train_size, full replay tables, hashes and byte-exact rebuild receipts. The joint builder, if queued, copies disjoint reader/writer factors unchanged: rank stays 4, no truncation. Work log and probe JSON: scratch/turn4/. Scratch stays below 10 GB.
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| 0018 | gemini | dual-budget-rescue-r5 | Dual-cap rescue stack: rank-4 exact-close writer subspace (0.38%) plus 13-layer late pre-edit commit gate | parked | -4 to +14 |  |  | - |
| 0020 new | claude | net-deep-gate-close-b05 | Deep-thought gate in all 60 layers: one neuron per layer detects depth >= 800 in a thought and writes the end-of-thought state (per-layer do | done | -6 to +8 | -10.5 (47 vs 56) provisional |  | harmful |
| 0021 new | claude | net-deep-gate-close-b12 | Deep-thought gate in all 60 layers: one neuron per layer detects depth >= 800 in a thought and writes the end-of-thought state (per-layer do | done | -7 to +9 | -7.5 (50 vs 56) provisional |  | harmful |
| 0022 | claude | net-preedit-commit-b12 | Pre-edit commit gate in all 60 layers: deep in a thought with no edit made yet, write the first-edit thought state only (per-layer dose 0.12 | parked | -7 to +7 |  |  | - |
| 0023 | claude | net-preedit-commit-close-b05 | Pre-edit rumination gate in all 60 layers: deep in a thought with no edit made yet, write end-of-thought plus first-edit state (per-layer do | parked | -8 to +9 |  |  | - |
| 0028 | gemini | nullspace-close-r4-midlate | Protocol-nullspace rank-4 exact thought-close writer subspace across L10-59 (0.48%) | queued_s1 | +1 to +13 |  |  | - |
| 0031 | claude | icv-brief-b20 | Instruction vector, think briefly: an always-on neuron per layer writes the stream shift of a 'keep your thinking short' paragraph (dose 2) | queued_s1 | -6 to +6 |  |  | - |
| 0032 | claude | icv-brief-b40 | Instruction vector, think briefly: an always-on neuron per layer writes the stream shift of a 'keep your thinking short' paragraph (dose 4) | queued_s1 | -9 to +6 |  |  | - |

 succeeded in 389ms:
# wsp31 queue status (2026-11-13 22:54:13 EST)

Rule: {"s1_promote": 3.0, "s1_harmful": -6.0, "s2_min": 4.0, "ctrl_margin": 5.0, "total_pass": 10.0, "total_harmful": -10.0}

Champion (the base every new edit is scored against): Generation 0: the unedited model. No edit has passed yet.

Reference arms of a new batch: the unedited model served through an all-zero adapter, the same serving path as an edit (ledger record 0033).

## Batches

| batch | stage | gpu | state | arms | rows | note |
|---|---|---|---|---|---|---|
| b001 | s1 | 1 | done | base aa zero | 360 | {"base": 60, "episodes": 120, "aa": [60, 60, 6, 6], "arms": {"zero": [65, 5.0]}} |
| b002 | s1 | 1 | done | base e0008 e0011 aa | 480 | {"base": 60, "episodes": 120, "aa": [60, 62, 4, 6], "arms": {"e0008": [51, -10.0], "e0011": [51, -10.0]}} |
| b003 | s1 | 0 | done | base e0012 e0015 aa | 480 | {"base": 58, "episodes": 120, "aa": [58, 52, 9, 3], "arms": {"e0012": [34, -21.0], "e0015": [61, 6.0]}} |
| b004 | s1 | 1 | done | base e0021 e0020 aa | 408 | {"base": 56, "episodes": 102, "aa": [56, 59, 4, 7], "arms": {"e0021": [50, -7.5], "e0020": [47, -10.5]}} |
| b003-supp1 | s1 | 0 | done | base e0012 e0015 aa | 124 | {"tasks": 31, "record": "0029", "solved": {"base": [58, 72], "e0012": [34, 44], "e0015": [61, 74], "aa": [52, 67]}} |
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| b001-supp1 | s1 | 1 | done | base aa zero | 93 | {"tasks": 31, "record": "0030", "solved": {"base": [60, 74], "aa": [60, 74], "zero": [65, 81]}} |
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0029-claude-correction-b003-supp1.md
0030-claude-correction-b001-supp1.md
0031-claude-icv-brief-b20.md
0032-claude-icv-brief-b40.md
0033-claude-zero-adapter-reference-arms.md
TEMPLATE.md

**Estimating required reading time**

 succeeded in 400ms:
# What was already tried on Gemma 4 E4B (paper track, 4-12 Nov 2026)

These are training-free weight edits on the small model, written by Claude, GPT and Gemini, measured on 170
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only for 31B) and on 130 held-out tasks. Sources: the private paper repository (`gemma-weight-programming`), its
experiment log and result files. Counts are tasks solved of 170 unless stated; "vs" is the same-batch unedited arm.

None of these results transfers to 31B automatically. They are listed so that a 31B attempt of the same kind is made
on purpose, with a reason, and not by accident.

## Method that was used

A frontier LLM diagnosed failures from logged agent decisions, located a direction in the residual stream (difference
of means between decision classes), compiled it into a closed-form MLP edit (always-on, or gated by a "quiet neuron"
that fires only under a condition such as "no file edited yet"), wrote a prediction, and tested against a
norm-matched random control.

## What moved behaviour

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- The agy reader: no family-A answer and no scale-up answer (amendment 4a); at about 9 minutes per call and with
  half of the calls empty it is still inside the family-B pilot, in the fixed order of amendment 2, and is
  reported with its n. Every verdict of section 4 is for two readers.
- Priority 4 of the lane (do atlas or reader predictions agree with what edits did in rollouts): eleven entries
  are queued, none has a stage-1 result yet; predictions and scorer registered (amendments 5 to 5d, section
  3.6).

**Managing file read limits**

 succeeded in 268ms:
   314 /home/keith/gemma-v2/wsp31/tools/TOOLS.md
   144 /home/keith/gemma-v2/wsp31/tools/ARCH.md
  2292 /home/keith/gemma-v2/wsp31/interp/REPORT.md
  2750 total
# wsp31 tools for edit authors

Changelog (newest first; times US Eastern):
- Fri 13 Nov, 3:51 PM: **three of the first four edits were harmful (-10 to -21 tasks): read "Before you submit"
  (section 5) first.** GPU 0 for pre-tests only while an author turn is open (section 3). New `delimprobe.py`.
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  12:39 AM speed (trap 12): **the server's rank limit sets the price of an adapter**.
- Thu 12 Nov: 11:40 PM first served runs of `dose.py`, `validate.py`, `vgen.py`, `closeprobe.py`; 10:55 PM stacks
  of rank 34 to 96 applied as written; 10:30 PM **thought-end pre-tests need exact contexts**, rank limits 64 or 128
  (never 96); 10:00 PM champion support, network-wide builders; 8:36 PM first version. Earlier commands all still work.

Everything here lives in `$R/wsp31/tools` (below `$T`; `$R = /home/keith/gemma-v2`). Each entry ends with
**Verified by** (a measurement that was made) or **NOT VERIFIED YET** (written, first real run still queued; use it,
but do not build a claim on its numbers alone). Architecture facts are in `$T/ARCH.md` (read "Consequences for
weight edits" there before designing an edit); measurements with commands are in `$T/REPORT.md`.
[... 197 lines cut ...]
| change at logged decision points, served | works (one served run, with `--champion`) | `fastprobe.py EDIT --port PORT` |
| the same over the full vocabulary, no server; hook interventions | forward pass verified (section 3); verdict thresholds not calibrated | `causal.py --adapter EDIT` |
| checker + probe, one verdict (FAIL / NO-OP / BROKEN / ACTIVE) | works served (one run: worked example, ACTIVE, mean KL 0.017); verdict words not calibrated | `validate.py EDIT [--port PORT]` |
| how large can the edit get before turns break ("largest coherent dose") | works served (one run, worked example: 0.3% and 1% coherent, 3% and 10% not: 0 of 16 well-formed turns, all repetitive; 162 s for 4 doses); classifier tested on 799 logged answers | `dose.py EDIT --port PORT --doses 0.001,0.003,0.01,0.03` |
| likelihood of stored trajectories under an edit; exact replay of logged calls | works (GPU 0, no server) | `replay.py [--adapter EDIT] --out F.json` |
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| what the served model WRITES from a decision point (whole turn; rest of a thought; after a thought cut by force), each edit next to the reference | works served (one run: unedited 12 of 12 well-formed turns with the logged tool; after a forced cut 12 of 12 well-formed, 10 of 12 the logged tool; a wrecking adapter 0 of 12) | `vgen.py EDIT [EDIT2 ...] --port PORT --at turn\|cont\|close\|forced\|after [--show 2]` |
| activation capture at decision points | works (GPU 0, no server) | `capture.py OUT.pt --names resid_post --layers 20-30 [--adapter DIR]` |

 exited 1 in 269ms:
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| logit lens and weight views | works (CPU) | `tok.py lens`, `wv_*.py` |

    BUDGET=900 flock $R/wsp31/gpu0.lock $T/gpu0_session.sh PORT 0.60 -- \
        $PY $T/fastprobe.py queue/my-slug/edit --port PORT --out queue/my-slug/probe_edit.json
    flock $R/wsp31/gpu0.lock timeout 1500 $PY $T/causal.py --adapter queue/my-slug/edit --out probe_edit.json
    flock $R/wsp31/gpu0.lock timeout 1500 $PY $T/validate.py queue/my-slug/edit

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    flock $R/wsp31/gpu0.lock timeout 1500 $PY $T/closeprobe.py --adapter queue/my-slug/edit --out close_edit.json

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The author brief points to this block. It is kept current and can be read alone; the dated blocks below it are
the record.

**Devising innovative reader training methods**
**Planning targeted error handling**

 exited 1 in 296ms:
grep: C|^##the record.

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  model is 0.0012 on average. The confirmed `close_thought` push of 1% of the stream norm per layer brings it to
  0.113 on average (dose check: hooked forward passes on 130 points of 10 episodes, no weight edit, no rollout).
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  measured for the push or for any queued edit.
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  for probability shifts.
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- **Noise to keep in mind.** Three arms with identical weights solved 60, 60 and 65 of 120 in b001.
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within_task.json
wrong_patch.json
wrong_patch_noreport.json
wrong_patch_v2.json
cat: /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/build_code.py: No such file or directory

**Developing success-direction mechanism**
**Analyzing task variance and thought patterns**

 succeeded in 364ms:
## C. Ranked edit ideas for raising a Gemma 4 31B coding agent's held-out solve rate (no training)

Ranking is by my estimate of expected held-out gain times probability of a clean confirmation. That estimate is mine, not a sourced figure. "Bake" means compile into your rank-32 LoRA-shaped adapter or a gated quiet-neuron write.

| # | Idea | Motivating source | Data needed | Risk |
|---|---|---|---|---|
| 1 | **Bake TACT's overthinking and overacting axes with a band gate.** Fit OT-vs-CAL and OA-vs-CAL (orthogonalised) at `<channel\|>` (end of thought) on judge-labelled steps. Implement TACT-Gate's "subtract excess beyond calibrated band" as a one-sided gated neuron per top-AUC layer (a GeGLU gate gives a soft threshold). Verify hook-vs-baked equivalence first | TACT (+4.8 avg on Gemma-4-26B-A4B; random and shuffled controls ≤0) | Your failure traces, chunk-labelled by a frontier judge (TACT spent ~$600 for 2k trajectories); activations at end-of-thought | Medium. Only TACT's own evidence; ~3.2% harmful flips; a soft gate is an approximation of the hook |
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| 4 | **Spectrally filtered donor delta.** Take community gemma-4-31B-it agentic-coding LoRAs. Keep each matrix's dominant singular directions, Frobenius-match magnitude, and DARE/TIES-merge several. Treat the dose α as a hyperparameter | Selective-RL (controls beat magnitude-only and random low-rank); fine-tuning transfer; DARE/TIES | Donor LoRAs (verify licence, data, contamination); none are RL-trained | Medium–high. Unknown donor quality. Note: this imports someone else's training, so it is "training-free for us" and may need to be reported separately from "LLM-authored" |
| 5 | **Head-level cognitive edits (CREST/ThinkEdit style).** Find heads whose outputs separate productive from unproductive verification and backtracking (or premature "submit"); remove or add the component in those heads' o_proj | CREST (up to +17.5%); ThinkEdit (0.2% of params, +3.34%) | Per-head activations at labelled step types | Medium. Shown on math reasoning, not agents |
| 6 | **Verification / tool-use direction.** One residual direction raising the rate of "run tests / inspect output" actions, dosed in the agent loop | Tool-call rates (0→90%; QA 0.29→0.56); TACT's overacting axis as the counterweight | Contrast of states before tool-call vs no-tool turns | Medium. Too much dose means more steps or timeouts. Pair with idea 1's OA axis |
| 7 | **RYS middle-block duplication.** Materialise a 61–68-layer checkpoint that repeats a contiguous mid block; search (i, j) on dev agent tasks or a proxy (teacher-forced NLL on successful trajectories, plus LCB) | RYS on Qwen3.5-27B | Proxy sweep (cheap), then agent evals | Medium–high. Weak evidence; adds KV cache; counts as an architecture edit for framing |
| 8 | **Agency-axis nudge at prefill**, so the agent acts rather than defers or stalls (relevant if traces show hedging or asking for confirmation) | Agency axis (d=1.01; decode-only had no effect) | Contrast "acts" vs "asks or stalls" turns | Medium. Risk of reckless actions; side-effect check needed |
| 9 | **Behaviour-basis composition with black-box coefficient search.** Build a basis (persistence, verification, brevity, tool-use, format) and let TPE or CMA-ES search coefficients on dev, constrained by KL on held-out chat | Steer2Adapt (+8.2%); Heretic's TPE + KL; Evo-L2S | Basis vectors; dev split; KL reference set | High overfitting risk. Requires strict dev/test isolation |
| 10 | **Projection ablation of a "give-up / premature-finish" direction** (Arditi-style orthogonalisation of writer matrices), searched Heretic-style | Arditi et al.; Heretic | Contrast of states before early-submit failures vs successful continuations | Medium. Ablation is global, so may over-suppress legitimate finishing |
| 11 | **ExPO extrapolation of the Gemma 4 31B instruction-tuning delta** (IT + α·(IT − base), α 1.
[... 1021 characters cut ...]

 succeeded in 335ms:
---
id: 0031
date: 2026-11-13
author: claude
track: edit
title: Instruction vector, think briefly: an always-on neuron per layer writes the stream shift of a 'keep your thinking short' paragraph (dose 2)
status: queued
set: wsp31_screen_v2
batch: -
verdict: -
result: -
---

## Hypothesis

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  }
 ]
}               total        used        free      shared  buff/cache   available
Mem:             183          27          55           1         103         156
Swap:              7           1           6
1.6G	/home/keith/gemma-v2/wsp31/authors/gpt/scratch

**Checking current time**

 succeeded in 295ms:
Sat Nov 14 03:55:49 AM UTC 2026
"""icv_build.py OUT_DIR I1|I2 BETA edit|ctrl  (author claude, turn 6; CPU, seconds)

Rebuilds one arm of code/icv_job.py bit for bit from the statistics that job saved (code/data/icv_stats.pt: the
per-layer instruction shifts delta_L, the always-on neuron of every layer, the MLP output RMS, the norm weights and
layer scalars). edit: the down column of the always-on neuron of layer L writes BETA * delta_L[I]. ctrl: the same
code path with the sign of every coordinate of the written vector flipped at random (seed 6000 + L): identical
neurons, identical gate and up rows, identical per-coordinate magnitudes of the write, so identical |dW|_F.
"""
import sys

import torch

A_DIR = "/home/keith/gemma-v2/wsp31/authors/claude"
sys.path.insert(0, A_DIR + "/code")
import icv_job as J  # noqa: E402

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        ureal = uo + (ur - uo).to(torch.bfloat16).float()

**Analyzing instruction contrast methods**
**Exploring low-rank prompt effect modeling**
**Planning contrastive ICV implementation**
**Designing error-conditioned gating**

I’m exploring an error-conditioned gate that selectively adjusts based on differences between successful and failed tool activations to improve failure recovery in edits, while also planning to generate source-grounding statistics with adapted scripts and maintain a controlled comparison using placebo contrasts.

 succeeded in 284ms:
        ureal = uo + (ur - uo).to(torch.bfloat16).float()
        act = tl.gelu_tanh(X @ greal) * (X @ ureal)
        gbar = float(act[comp].mean())
        info = dict(use=use, cv_mean=stats["mean"][2] / stats["mean"][1], cv_ridge=stats["ridge"][2] / stats["ridge"][1],
                    s_bos_before=sb, proj=proj, gbar=gbar, act_cv_cal=float(act[cal].std() / act[cal].mean()),
                    act_prompt=float(act[kind == 1].mean()) / gbar, act_prompt_sd=float(act[kind == 1].std()) / gbar,
                    act_bos=float(act[kind == 2].mean()) / gbar, act_min=float(act[comp].min()) / gbar,
                    act_max=float(act[comp].max()) / gbar, old=[float(go.norm()), float(uo.norm()), float(do.norm())],
                    new=[float(gr.norm()), float(ur.norm())])
        st["neuron"][L] = dict(j=j, gate_row=gr, up_row=ur, gate_old=go, up_old=uo, down_old=do, gbar=gbar, info=info)
        if L % 6 == 0 or L == 59 or MOCK:
            log("neuron", L, "j", j, {k: (("%.3f" % v) if isinstance(v, float) else v) for k, v in info.items() if k not in ("old", "new")},
                "old norms", ["%.2f" % x for x in info["old"]], "new", ["%.2f" % x for x in info["new"]])
    del st["X"]
    return st


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    e = EditSet()
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turn4
update_frozen_manifest.py
verify_rebuild.py

**Optimizing file creation and error recovery**

I’m focusing on efficiently creating local files using tools.apply_patch while handling new ICV error recovery based on I1 source fidelity. The plan involves testing three base variants—positive, neutral, and at least one bold novel—with allowance for two entries in the same direction but different doses. Completing the first setup fully before moving on helps build scout doses incrementally. I’ll apply coherent thresholding with training norms and a 0.65 rank1 qualifier, ensuring meaningful critique filtering at 0.3. Avoiding padding, neuron replacement must be exact. A custom 350-line script will be implemented to capture, fit, build, and evaluate using documented forward functions and adapted ICV imports.
**Aligning training sizes and managing data reads**

 succeeded in 296ms:
---
id: 0007
date: 2026-11-12
author: claude
track: edit
title: Deep-thought gate (dose 0.1) plus the model s own end-of-thought neurons at 9 times their write
status: parked
set: wsp31_screen_v1
batch: -
verdict: -
result: -
---

## Hypothesis

In the unedited batch b001 (three identical arms, 61 episodes finished when read) 14 of the 28 failures end at the
7.5-minute session limit, at least 10 of them with an empty patch and 8 of those without a single file edit (at 110
episodes, 9:40 PM ET: solved 44%, at the limit 35%, empty patch 25%). At about
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- Directions SHA256: `50d0a223601cfef3f84c4bf8b07f98dfca54d60fbbab198abd9a023831ff6f61`
- Edit weights SHA256: `dd681de01a59c311869728f4331927798ac770343db66bc427328c7469538a40`
- Control weights SHA256: `d61fb2e5838595a4180f3e1f177376cec0f039f3cc9809eb1eba0e1fafd08277`

Checker output:

```

 succeeded in 66ms:

Name                      Mode  
----                      ----  
turn4                     d-----
after_capture.sh          -a----
audit_boundary.py         -a----
audit_snapshot.py         -a----
author_capture.py         -a----
boundary_probe.py         -a----
build_combo.py            -a----
build_overlap.sh          -a----
build_project.py          -a----
cancel_optional.py        -a----
capture_job.sh            -a----
close033_record.json      -a----
close050_record.json      -a----
combo_candidates.txt      -a----
combo_guard.py            -a----
complete_entry.py         -a----
[... 23 lines cut ...]
update_frozen_manifest.py -a----
verify_rebuild.py         -a----
2026-11-13T22:57:09.1017286-05:00



**Preparing independent script recovery**
**Organizing local code replication and fitting**

scp -q wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/icv_job.py turn7/original_icv_job.py
scp -q wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/icv_gen.py turn7/original_icv_gen.py' in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 1047ms:
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn7\hold1.sh
C:\Users\Owner\wsp31_loop\work\gpt\turn7\prepare.py
C:\Users\Owner\wsp31_loop\work\gpt\turn7\setup_remote.py
diff --git a/turn7/hold1.sh b/turn7/hold1.sh
new file mode 100644
index 0000000000000000000000000000000000000000..2717956498f835ff8f2e8a679b6a85130fd2d969
--- /dev/null
+++ b/turn7/hold1.sh
@@ -0,0 +1,12 @@
+#!/bin/bash
+set -euo pipefail
+R=/home/keith/gemma-v2
+export WSP31_WORK=$R/wsp31/authors/gpt/scratch/turn7
+export PYTHONDONTWRITEBYTECODE=1
+export CUDA_VISIBLE_DEVICES=0
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+
+This turn tests source grounding and recovery from tool errors. Capture the response to a precise source-grounding paragraph minus a generic coding-task paragraph on matched exact stage-1 calls. Compile the incremental per-layer shift as one near-constant neuron per layer (180 matrices), using the documented forward pass and a closed-form ridge probe. No optimizer. Adapted claude ICV code; new instruction, contrast and own captures. Random-sign control has identical changed-column coordinate magnitudes, plus identical gate/up edits.
+
+Current work: code/turn7; scratch/turn7. No READY yet. At most two entries; finish the first before opening the second. GPU 0 only through lock/timeouts; 45-minute lock budget. No GPU 1, rollouts, stage-2 traces, sealed data or trained-adapter directions.
+
+Prior notes preserved in code/turn7/previous_notes.md. Parked entries 0013/0027 remain parked.
+''')
+print('setup complete',datetime.datetime.now(datetime.timezone.utc).isoformat())

scp -q turn7/setup_remote.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/setup_turn7.py
ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/setup_turn7.py'
scp -q turn7/ground_job.py turn7/thinklib.py turn7/hold1.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 1129ms:
prepared 24063
setup complete 2026-11-14T03:58:40.031245+00:00

diff --git a/turn7/hold1.sh b/turn7/hold1.sh
new file mode 100644
index 0000000000000000000000000000000000000000..2717956498f835ff8f2e8a679b6a85130fd2d969
--- /dev/null
+++ b/turn7/hold1.sh
@@ -0,0 +1,12 @@
+#!/bin/bash
+set -euo pipefail
+R=/home/keith/gemma-v2
+export WSP31_WORK=$R/wsp31/authors/gpt/scratch/turn7
+export PYTHONDONTWRITEBYTECODE=1
+export CUDA_VISIBLE_DEVICES=0
+export OMP_NUM_THREADS=8
[... 91 lines cut ...]
+
+Current work: code/turn7; scratch/turn7. No READY yet. At most two entries; finish the first before opening the second. GPU 0 only through lock/timeouts; 45-minute lock budget. No GPU 1, rollouts, stage-2 traces, sealed data or trained-adapter directions.
+
+Prior notes preserved in code/turn7/previous_notes.md. Parked entries 0013/0027 remain parked.
+''')
+print('setup complete',datetime.datetime.now(datetime.timezone.utc).isoformat())

**Reviewing device and path configurations**

 succeeded in 267ms:
"""g31: loader, dequantiser and hooked dense forward pass for Gemma 4 31B (QAT w4a16, compressed-tensors
pack-quantized checkpoint), written to mirror what vLLM 0.19.1 computes when it serves that checkpoint with
--dtype bfloat16 (vllm/model_executor/models/gemma4.py). Library for the wsp31 tools lane; see ARCH.md and REPORT.md.

Conventions: "mod" is one of q_proj k_proj v_proj o_proj gate_proj up_proj down_proj. Global (full-attention)
layers have no v_proj tensor in the checkpoint: vLLM loads k_proj into both the K and the V slot, so
weight(l, "v_proj") returns the k_proj weight there. All weights are returned as bf16 [out, in].
"""
import json
import math
import os
import struct

import torch
import torch.nn.functional as F

R = "/home/keith/gemma-v2"
MODEL_DIR = f"{R}/models/gemma-4-31b-it-qat-w4a16-ct"
LM = "model.language_model."
[... 384 lines cut ...]
+
+This turn tests source grounding and recovery from tool errors. Capture the response to a precise source-grounding paragraph minus a generic coding-task paragraph on matched exact stage-1 calls. Compile the incremental per-layer shift as one near-constant neuron per layer (180 matrices), using the documented forward pass and a closed-form ridge probe. No optimizer. Adapted claude ICV code; new instruction, contrast and own captures. Random-sign control has identical changed-column coordinate magnitudes, plus identical gate/up edits.
+
+Current work: code/turn7; scratch/turn7. No READY yet. At most two entries; finish the first before opening the second. GPU 0 only through lock/timeouts; 45-minute lock budget. No GPU 1, rollouts, stage-2 traces, sealed data or trained-adapter directions.
+
+Prior notes preserved in code/turn7/previous_notes.md. Parked entries 0013/0027 remain parked.
+''')
+print('setup complete',datetime.datetime.now(datetime.timezone.utc).isoformat())

ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/audit_calls.py; tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; ls /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1*'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 621ms:
stage1 sets 120 120 overlap 104
rows 208
FAILURE base HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u /home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json
trace schema ['schema_version', 'agent', 'steps', 'final_metrics']
I Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container \u2014 always use `grep -rn --include=\"*.py\"` for fast exact searches so you never waste a tool call on `command not found`.\n2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files.\n3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspac
audit done
/home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
[... 295 lines cut ...]
+++ b/turn7/trace_schema.py
@@ -0,0 +1,6 @@
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/trace_schema.py; lslocks | head -12; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 665ms:
{"step_id": 2, "source": "user", "message": "You are evaluating a software engineering task for repository HIPS/autograd.\n\nProblem Statement:\n### Bug Description\n\nIt seems there's an issue with the recent changes in the FFT gradient calculations. The `irfft` and `rfft` functions are not handling certain input shapes correctly, leading to unexpected behavior during gradient checks. This is causing several tests related to FFT operations to fail.\n\n### Steps to Reproduce\n\nTo reproduce the issue, you can use the following script:\n\n```python\nimport numpy as np\nimport numpy.random as npr\nfrom autograd import grad\n\ndef check_grads(fun):\n    # This is a placeholder for the actual gradient checking function\n    return grad(fun)\n\ndef test_irfft():\n    def fun(x):\n        return np.fft.irfft(x)\n    D = 4\n    mat = npr.randn(D, D) / 10.0\n    mat = np.fft.rfft(mat)\n    check_grads(fun)(mat)\n\ntest_irfft()\n```\n\n### Expected Behavior\n\nThe gradient check should pass without any errors, indicating that the `irfft` function is correctly computing the gradients for the given input.\n\n### Actual Behavior\n\nThe script raises a `ValueError` indicating that operands could not be broadcast together, suggesting a mismatch in expected input shapes during the gradient computation.\n\n### Environment\n\n- Python version: 3.10.16\n- NumPy version: (please specify)\n- Autograd version: (please specify)\n\n### Additional Information\n\nThis issue seems to affect multiple FFT-related functions, as indicated by the failing tests. It would be helpful to review the recent changes in the `irfft_grad` and `rfft_grad` functions to identify any discrepancies in shape handling.\n\n## Task Budget (Session terminates when any budget is exhausted)\n- Time allowance: 7.5 minutes\n- Tool calls allowance: 30 calls\n- Max loop iterations: 40 turns\n\n## Execution Environment Rules\n- Single command timeout: 90 seconds (commands exceeding this fail without ending the session)\n- Command output limit: 5000 characters\n- File view limit: 150 lines per read_file call\n- File character limit: 10000 characters per read_file call\n- Environment is offline (no network/PyPI access). All repository and test dependencies are ALREADY pre-installed. Do NOT attempt to run pip install or download packages.\n\n## Instructions:\n0. All source code is under `/workspace`. Do NOT search outside `/workspace` (e.g. `/usr/`, `/wheels/`, system site-packages). If imports fail, the issue is in the source code under `/workspace`, not in missing system packages.\n1. Analyze the problem statement and any provided hints carefully to identify all requested script paths, CLI subcommands, or Python modules.\n2. Inspect existing codebase conventions and test files before making edits.\n3. Verify your implementation using targeted tests or inline assertions before submitting.\n4. Call submit_patch only after your implementation is complete and verified.\n5. As your final action, you must retu
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
COMMAND             PID  TYPE   SIZE MODE   M START END PATH
python3            2809 FLOCK        WRITE  0     0   0 /run/snapd/ns...
Runner.Listener    4473 FLOCK 351.6K READ   0     0   0 /runner/_diag/Runner_20261112-225725-utc.log
containerd         3053 FLOCK        WRITE  0     0   0 /run/snapd/ns...
dockerd            3797 FLOCK        WRITE  0     0   0 /...
flock            459713 FLOCK        WRITE* 0     0   0 /home/keith/gemma-v2/wsp31/gpu0.lock
flock           3199720 FLOCK        WRITE  0     0   0 /home/keith/gemma-v2/wsp31/gpu0.lock
snapd              2741 FLOCK        WRITE  0     0   0 /...
dockerd            3797 FLOCK      
[... 636 characters cut ...]

 succeeded in 277ms:
    PID     ELAPSED COMMAND
3199720    02:42:42 flock
import json,collections,re
from pathlib import Path
R=Path('/home/keith/gemma-v2');A=R/'wsp31/authors/gpt';C=A/'code/turn4'
allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
counts=collections.Counter();examples=[];selected=[]
wanted={(r['trace'],r['call']) for r in [json.loads(x) for x in (C/'fidelity_calls.jsonl').open()]}
for arm in ['base','aa','zero']:
    root=R/f'results/wsp31/batches/b001/{arm}/rebench/shard0_gpu0'
    for line in (root/'task_results.jsonl').open():
        result=json.loads(line);assert result['instance_id'] in allowed
        paths=list((root/'requests').glob(result['instance_id']+'*.jsonl'))
        if not paths:continue
        p=paths[0];calls=[json.loads(x) for x in p.open()]
        tools={}
        for call in calls:
            for m in call.get('messages',[]):
                if m.get('role')=='tool':tools[m.get('tool_call_id')]=m.get('content')
[... 397 lines cut ...]
+++ b/turn7/trace_schema.py
@@ -0,0 +1,6 @@
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/recovery_audit.py; tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 3209ms:
{
  "counts": {
    "base:read_file:all": 625,
    "base:read_file:ok": 603,
    "base:run_command:all": 1128,
    "base:run_command:ok": 903,
    "base:run_command:error": 203,
    "base:write_file:all": 13,
    "base:write_file:error": 8,
    "base:edit_file:all": 161,
    "base:edit_file:ok": 121,
    "base:submit_patch:all": 64,
    "base:submit_patch:missing": 61,
    "base:run_command:missing": 22,
    "base:read_file:missing": 12,
    "base:write_file:ok": 2,
    "base:edit_file:error": 19,
    "base:read_file:error": 10,
[... 267 lines cut ...]
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

**Reviewing audit output and error patterns**

 succeeded in 265ms:
    PID COMMAND             ELAPSED
 405850 gpu0_session.sh       08:48
24K	/home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7
Sat Nov 14 04:00:31 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
[... 441 lines cut ...]
+++ b/turn7/trace_schema.py
@@ -0,0 +1,6 @@
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

scp -q turn7/ground_job.py turn7/build_ground.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/
ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python -m py_compile /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/ground_job.py; tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 739ms:
prepared 24260

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
[... 224 lines cut ...]
+ print(json.dumps(s)[:3000])

**Preparing CPU audit test setup**
**Estimating generation and memory use**
**Optimizing tool usage and selection process**

I’m refining the tool choice based on performance stats, focusing on generating and evaluating candidate doses flexibly with JSON scripts and careful scheduling to improve selection while balancing runtime constraints.
**Managing GPU timing and tool filtering**

 succeeded in 281ms:
    out = {}
    for kind in ("close", "cont"):
        out[kind] = {}
        for band, lo, hi in BANDS:
            ix = [i for i, p in enumerate(pts) if p["kind"] == kind and lo <= p.get("depth", 0) < hi]
            if not ix:
                continue
            sub = lp[ix].float()
            nxt = torch.tensor([pts[i]["next"] for i in ix])
            top = sub.argmax(1).cpu()
            out[kind][band] = dict(n=len(ix), logp_close=float(sub[:, CH_END].mean()),
                                   top_is_close=float((top == CH_END).float().mean()),
                                   logp_logged=float(sub[torch.arange(len(ix)), nxt].mean()),
                                   top_is_logged=float((top == nxt).float().mean()))
    return out


def show(name, t):
    for kind in ("close", "cont"):
[... 384 lines cut ...]
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

**Optimizing evaluation strategy**
**Scheduling evaluation tasks**

ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/read_ledgers.py; tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 609ms:
0015-gemini-exact-close-r4-subspace.md Hypothesis

[line removed by the dashboard scrubber]

Why this differs from both `PRIOR_E4B.md` ("think briefly" 28/28/25 vs 29) and queued ledger entries `0007`--`0013`:
[line removed by the dashboard scrubber]

Verdict and notes

Pending.

0016-gemini-rumination-damp-r2-net.md Hypothesis

[line removed by the dashboard scrubber]

Why this differs from `PRIOR_E4B.md` and queued entries `0007`--`0013`:
1. **Opposite algebraic mechanism (subtractive attractor damping across all 7 module types, 280 matrices)**: Every queued entry `0007`--`0013` adds or amplifies a thought-ending write (`alpha > 0`) on writers or late neurons only. Here we damp (`dW = -beta P W` on writers and `dW = -beta W P` on `q, k, v, gate, up` readers, with per-matrix `beta ~ 0.3 < 1` so `(1 - beta) > 0` damps without sign-flipping) the **deep-vs-early continuation shift** (`c op); or (2) damping readers and writers across layers 20..59 degrades patch accuracy on finished episodes, yielding <= -5 tasks vs reference.

[... 818 lines cut ...]
+++ b/turn7/trace_schema.py
@@ -0,0 +1,6 @@
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

scp -q turn7/ground_job.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/
ssh -o BatchMode=yes wrx90 'tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 675ms:
prepared 24369
Sat Nov 14 04:03:40 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
[... 696 lines cut ...]
+++ b/turn7/trace_schema.py
@@ -0,0 +1,6 @@
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/recovery_audit.py > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/recovery_audit.log; tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 3204ms:
Sat Nov 14 04:04:19 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
[... 743 lines cut ...]
+++ b/turn7/trace_schema.py
@@ -0,0 +1,6 @@
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; ps --ppid 3199720 -o pid,comm,etime; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 640ms:
    PID COMMAND             ELAPSED
 405850 gpu0_session.sh       13:30
Sat Nov 14 04:05:14 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
[... 372 lines cut ...]
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

[line removed by the dashboard scrubber]

 succeeded in 246ms:
#!/usr/bin/env python
[line removed by the dashboard scrubber]
[--tol 0.10] [--save-largest DIR] [--champion current|DIR] [--out FILE.json] | dose.py --selftest: how large can this edit be made before the
agent stops producing well-formed turns? Run inside a gpu0 session (a running server with runtime adapter loading).
For each dose (whole-network size, 0.003 = 0.3%) the tool writes a copy of the edit scaled by one common factor
(rescale.py: every matrix keeps its share), loads it under a content-hash name, measures, unloads and deletes the
copy. Measured per dose, always next to the unedited model on the same prompts: (1) at labelled decision points of
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
well-formed tool call (<|tool_call>call:NAME{...}<tool_call|> with a tool name the harness has, outside thinking),
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
is coherent when its share of well-formed tool calls is within --tol of the unedited model's and its shares of
malformed, never-closed, empty and repetitive turns are no more than --tol above it. The last line names the largest
coherent dose (all smaller doses coherent too). This says the model still works as an agent at that size; it says
nothing about whether the edit helps. --mode alpha scales through lora_alpha instead of rewriting the file (dose
tests only: such a directory is not a valid queue entry). With --champion (or WSP31_CHAMPION) the reference is the
champion and every dose is served as champion + scaled edit; doses are still sizes of your edit alone. --selftest classifies the logged answers (CPU)."""
[... 1002 lines cut ...]
+++ b/turn7/trace_schema.py
@@ -0,0 +1,6 @@
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 655ms:
Sat Nov 14 04:06:08 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
[... 846 lines cut ...]
+++ b/turn7/trace_schema.py
@@ -0,0 +1,6 @@
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/preflight.py; tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 6071ms:
{"fit_calls": 24, "eval_calls": 10, "instruction_lengths_before_padding": {"I1": 64, "I0": 65}, "generation_pool_excluding_all_planned_fit_tasks": {"recovery": 72, "long": 26, "general": 480}, "first_fit": "jd__tenacity.0d40e76f.func_basic__85q611gl", "first_eval": "gawel__pyquery.811cd048.lm_rewrite__o1v2xcun"}
Sat Nov 14 04:07:12 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
[... 426 lines cut ...]
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

**Reviewing tool timing and pretest status**
**Analyzing pretest data and model fitting**
**Reviewing build and record processes**
**Validating champion generation and stacking**

ssh -o BatchMode=yes wrx90 'tail -6 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 588ms:
Sat Nov 14 04:08:30 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
[... 479 lines cut ...]
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

**Checking save function details**

 succeeded in 249ms:

    def neuron(self, l, j, gate=None, up=None, down=None, mode="add"):
        """Edit MLP neuron j of layer l: its gate row and up row (what it reads from the MLP input) and its down
        column (what it writes). mode "add" adds the vectors to the current weights, "set" replaces them."""
        assert mode in ("add", "set")
        for mod, v in (("gate_proj", gate), ("up_proj", up)):
            if v is not None:
                v = torch.as_tensor(v, dtype=torch.float32)
                self.row_add(l, mod, j, v - self.row(l, mod, j) if mode == "set" else v)
        if down is not None:
            v = torch.as_tensor(down, dtype=torch.float32)
            self.col_add(l, "down_proj", j, v - self.col(l, "down_proj", j) if mode == "set" else v)

    def neuron_scale(self, l, j, gate=1.0, up=1.0, down=1.0):
        """Multiply neuron j's gate row, up row and down column by the given factors (down=0 ablates it)."""
        if gate != 1.0:
            self.row_add(l, "gate_proj", j, (gate - 1.0) * self.row(l, "gate_proj", j))
        if up != 1.0:
            self.row_add(l, "up_proj", j, (up - 1.0) * self.row(l, "up_proj", j))
[... 573 lines cut ...]
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

**Checking missing data files**

 succeeded in 265ms:
"""netops.py: network-wide operations of EditSet (edits.py), for edits of the size real training makes: many layers,
readers and writers, a few directions per matrix, 0.3% to 3% of the whole network. CPU only. Use through EditSet:

    e = EditSet()
    e.write_dir(range(60), D, alpha=1.0)      # every o_proj and down_proj: dW = alpha * P W   (P projects on D)
    e.read_dir(range(60), D, alpha=1.0)       # every q/k/v/gate/up_proj:   dW = alpha * W P
    e.scale_to(per_matrix=1.0, net_rel=0.003) # every changed matrix the same relative size, whole network 0.3%
    c = EditSet(); c.write_dir(range(60), EditSet.rand_dirs(D, seed=0)); c.read_dir(...); c.match_sizes(e)
    e.net_rel(), e.sizes(), e.scale(0.5), e.control("orth"), e.reduce(32)

D is one direction [5376] or several [k, 5376] for all layers, or a dict {layer: tensor} or a function layer ->
tensor for one direction set per layer (layers missing from a dict are skipped). The directions are orthonormalised;
the 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
entries of data/fro_norms.json, the same yardstick as train_size.py.

Two facts of the architecture decide what such an edit does (ARCH.md): (1) the output of o_proj and of down_proj
passes through an RMS norm before it reaches the residual stream, so multiplying a whole writer by a constant does
nothing; amplifying a direction changes the direction of the write, not its length. (2) readers see the stream after
an RMS norm with a learned weight per coordinate, and those weights span 1e-6 to 1e3. space="module" (default) takes
[... 645 lines cut ...]
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

**Preparing data copying setup**

 succeeded in 254ms:
Sat Nov 14 04:08:50 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
+        r=json.loads(line)
[... 480 lines cut ...]
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

**Managing model tool scripts and hashes**
**Handling file paths and naming conventions**
**Analyzing loop rate and model stats**

ssh -o BatchMode=yes wrx90 'tail -10 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 650ms:
Sat Nov 14 04:09:48 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
[... 1069 lines cut ...]
+++ b/turn7/trace_schema.py
@@ -0,0 +1,6 @@
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/repeat_audit.py; tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 2974ms:
{
  "base": {
    "errors_with_next_call": 240,
    "run_command:errors_with_next_call": 203,
    "write_file:errors_with_next_call": 8,
    "immediate_identical_retry": 7,
    "run_command:immediate_identical_retry": 1,
    "edit_file:errors_with_next_call": 19,
    "read_after_edit_error": 9,
    "read_file:errors_with_next_call": 10,
    "edit_file:immediate_identical_retry": 4,
    "read_file:immediate_identical_retry": 2
  },
  "aa": {
    "errors_with_next_call": 248,
    "edit_file:errors_with_next_call": 13,
    "read_after_edit_error": 5,
    "run_command:errors_with_next_call": 218,
[... 1161 lines cut ...]
+++ b/turn7/trace_schema.py
@@ -0,0 +1,6 @@
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 791ms:
Sat Nov 14 04:11:28 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
[... 567 lines cut ...]
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

**Managing timing and output constraints**

 succeeded in 302ms:
    PID COMMAND             ELAPSED
 405850 gpu0_session.sh       20:44
Sat Nov 14 04:12:28 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
[... 1170 lines cut ...]
+++ b/turn7/trace_schema.py
@@ -0,0 +1,6 @@
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 621ms:
Sat Nov 14 04:13:16 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
[... 572 lines cut ...]
+import json
+from pathlib import Path
+p=Path('/home/keith/gemma-v2/results/wsp31/batches/b007/base/rebench/shard0_gpu0/traces/trace_HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.json')
+j=json.loads(p.read_text())
+for s in j['steps'][1:5]:
+ print(json.dumps(s)[:3000])

**Preparing write_record.py script**

 succeeded in 244ms:
{"edit": {"summary": {"r": 4, "scale": 2.0, "changed": 120, "of": 420, "net_rel": 0.0032998919427115413, "rel_median": 0.00845037969373446, "rel_min": 0.008439016874032113, "rel_max": 0.00845761123227671, "rel_max_mod": "36.down_proj", "total_rel": 0.008450225586916145, "total_fro": 6.805336999912565, "stable_rank_median": 1.065820708811414, "part_rank_median": 1.8941374229545085, "by_type": {"down_proj": 0.00845056373385427, "o_proj": 0.008450334730913264}, "by_depth": [0.008450198830409202, 0.008450230272921917, 0.008450658463229871, 0.008449478112019829, 0.008450870136942665, 0.008450395950591577]}, "rows": [{"mod": "0.down_proj", "fro": 0.6338793174127089, "rel": 0.008449057912932297, "top_rel": 0.008242554851132273, "stable_rank": 1.0507342336038161, "part_rank": 1.6356249429043923}, {"mod": "0.o_proj", "fro": 0.6170765879599854, "rel": 0.00845093548506338, "top_rel": 0.008003876682853574, "stable_rank": 1.114830379956058, "part_rank": 1.9193446621437902}, {"mod": "1.down_proj", "fro": 0.6088115886035188, "rel": 0.008451154426519697, "top_rel": 0.006486367898406914, "stable_rank": 1.697574800741569, "part_rank": 3.084376174381741}, {"mod": "1.o_proj", "fro": 0.6399928746255495, "rel": 0.008449746609171523, "top_rel": 0.008358701648003305, "stable_rank": 1.0219031152636648, "part_rank": 1.4973043371435037}, {"mod": "2.down_proj", "fro": 0.6450302002561346, "rel": 0.008449489136309319, "top_rel": 0.008388624923159282, "stable_rank": 1.0145637731656978, "part_rank": 1.420497147579617}, {"mod": "2.o_proj", "fro": 0.6256701049461304, "rel": 0.008450854687013036, "top_rel": 0.006971565210376128, "stable_rank": 1.4694021808364257, "part_rank": 3.056489876992901}, {"mod": "3.down_proj", "fro": 0.6395531164053981, "rel": 0.008449248492547395, "top_rel": 0.008272677788339304, "stable_rank": 1.0431432378076864, "part_rank": 1.7147250469392994}, {"mod": "3.o_proj", "fro": 0.621493780858331, "rel": 0.00844976051527307, "top_rel": 0.007911966819107677, "stable_rank": 1.1405645943650602, "part_rank": 2.1127103069329682}, {"mod": "4.down_proj", "fro": 0.6355244850257561, "rel": 0.008450949339402759, "top_rel": 0.006940403725266463, "stable_rank": 1.482659853178256, "part_rank": 3.098706114499276}, {"mod": "4.o_proj", "fro": 0.608509013663377, "rel": 0.008449839854925057, "top_rel": 0.0076765713788127, "stable_rank": 1.2116086668403314, "part_rank": 2.355883344541333}, {"mod": "5.down_proj", "fro": 0.6031175264210021, "rel": 0.008449565473394467, "top_rel": 0.008055099739328709, "stable_rank": 1.100340014221819, "part_rank": 2.1072180692922626}, {"mod": "5.o_proj", "fro": 0.6116576118569659, "rel": 0.008449923676127681, "top_rel": 0.008072661311533932, "stable_rank": 1.0956506692010908, "part_rank": 1.9391430442634705}, {"mod": "6.down_proj", "fro": 0.6125598854369059, "rel": 0.008451527161860187, "top_rel": 0.007795573054756847, "stable_rank": 1.1753691606447667, "part_rank": 2.425631554906305}, {"mod": "6.o_proj", "fro": 0.6251172603231037, "rel": 0.00844958676251533, "top_rel": 0.008329576885559417, "stable_rank": 1.0290229409149887, "part_rank": 1.5810484000086242}, {"mod": "7.down_proj", "fro": 0.6229881754805221, "rel": 0.008451100871346528, "top_rel": 0.008337346135700911, "stable_rank": 1.027474155081371, "part_rank": 1.48175571816354}, {"mod": "7.o_proj", "fro": 0.6310467596209203, "rel": 0.008450570645253593, "top_rel": 0.008399946156240084, "stable_rank": 1.0120898489063377, "part_rank": 1.315225546134659}, {"mod": "8.down_proj", "fro": 0.6453045129023993, "rel": 0.008451980622416788, "top_rel": 0.008212672512347741, "stable_rank": 1.0591268421602102, "part_rank": 1.8851499615801415}, {"mod": "8.o_proj", "fro": 0.6189353729960971, "rel": 0.008450790819798503, "top_rel": 0.008258918734077001, "stable_rank": 1.0470039452880449, "part_rank": 1.7598264651283422}, {"mod": "9.down_proj", "fro": 0.64913713284978, "rel": 0.008450304369006343, "top_rel": 0.00755803185872506, "stable_rank": 1.2500496632700457, "part_
[... 42633 characters cut ...]

ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 615ms:
Sat Nov 14 04:15:27 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
[... 691 lines cut ...]
+print('record written',q/'record.md',len(text.split()),'words')

**Optimizing generation progress tracking**

I’m working on improving the handling of partial outputs and progress reporting by saving checkpoints every few rows and allowing recovery from timeouts, aiming for a robust and efficient way to track generation across multiple arms and streams within tight time budgets.
**Evaluating use of dose.classify tool**
**Analyzing model and code details**
**Reviewing setup and probe parameters**

 succeeded in 297ms:
    PID COMMAND             ELAPSED
 405850 gpu0_session.sh       24:35
Sat Nov 14 04:16:18 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
[... 1402 lines cut ...]
+Expected behavior: at least {reduction}% lower edit-error rate among edit calls with recorded tool replies than the pooled reference rate. The audit reference is 32/276 (11.6%); the comparison must use this new batch's reference rate, not that historic value. The share of immediate identical retries after errors should not rise; its historic count is only 9/488, so it is a secondary measure. Reading before an edit may rise. No thought-length reduction is required. Syntax errors should stay below 3% of completed tool calls, and the edit should not add long repetitive thoughts.
+
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python -m compileall -q /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7; tail -12 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 661ms:
Sat Nov 14 04:16:30 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
[... 1402 lines cut ...]
+Expected behavior: at least {reduction}% lower edit-error rate among edit calls with recorded tool replies than the pooled reference rate. The audit reference is 32/276 (11.6%); the comparison must use this new batch's reference rate, not that historic value. The share of immediate identical retries after errors should not rise; its historic count is only 9/488, so it is a secondary measure. Reading before an edit may rise. No thought-length reduction is required. Syntax errors should stay below 3% of completed tool calls, and the edit should not add long repetitive thoughts.
+
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 265ms:
Sat Nov 14 04:17:25 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
+        r=json.loads(line)
[... 690 lines cut ...]
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Analyzing missing tools and testing criteria**
**Identifying potential record write issue**

 succeeded in 272ms:
    PID COMMAND             ELAPSED
 405850 gpu0_session.sh       26:58
Sat Nov 14 04:18:41 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
[... 1403 lines cut ...]
+Expected behavior: at least {reduction}% lower edit-error rate among edit calls with recorded tool replies than the pooled reference rate. The audit reference is 32/276 (11.6%); the comparison must use this new batch's reference rate, not that historic value. The share of immediate identical retries after errors should not rise; its historic count is only 9/488, so it is a secondary measure. Reading before an edit may rise. No thought-length reduction is required. Syntax errors should stay below 3% of completed tool calls, and the edit should not add long repetitive thoughts.
+
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 279ms:
Sat Nov 14 04:19:09 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
+        r=json.loads(line)
[... 1440 lines cut ...]
+Expected behavior: at least {reduction}% lower edit-error rate among edit calls with recorded tool replies than the pooled reference rate. The audit reference is 32/276 (11.6%); the comparison must use this new batch's reference rate, not that historic value. The share of immediate identical retries after errors should not rise; its historic count is only 9/488, so it is a secondary measure. Reading before an edit may rise. No thought-length reduction is required. Syntax errors should stay below 3% of completed tool calls, and the edit should not add long repetitive thoughts.
+
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/update_notes.py; tail -16 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 609ms:
notes in progress 322 words
Sat Nov 14 04:20:00 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
[... 725 lines cut ...]
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Noting timing and blocking issues**

 succeeded in 325ms:
    PID COMMAND             ELAPSED
 405850 gpu0_session.sh       29:40
Sat Nov 14 04:21:24 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
[... 1471 lines cut ...]
+Expected behavior: at least {reduction}% lower edit-error rate among edit calls with recorded tool replies than the pooled reference rate. The audit reference is 32/276 (11.6%); the comparison must use this new batch's reference rate, not that historic value. The share of immediate identical retries after errors should not rise; its historic count is only 9/488, so it is a secondary measure. Reading before an edit may rise. No thought-length reduction is required. Syntax errors should stay below 3% of completed tool calls, and the edit should not add long repetitive thoughts.
+
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 338ms:
Sat Nov 14 04:22:24 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
+    for line in p.open():
+        r=json.loads(line)
[... 725 lines cut ...]
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Analyzing resource management and timing**
**Configuring CPU-only model execution**
**Analyzing capture files and CPU benchmarks**

 succeeded in 307ms:
    PID COMMAND             ELAPSED
 405857 python                31:36
 415450 timeout               30:08
CAPTURE_DONE
FIT_DONE
STOP_GUARD
STOP_WORKER
capture_0.pt
capture_1.pt
capture_2.pt
capture_3.pt
capture_4.pt
capture_5.pt
capture_6.pt
capture_7.pt
capture_8.pt
code-joint-damp-r4-047-ctrl.json
code-joint-damp-r4-047-edit-p6.json
code-joint-damp-r4-047-edit-p7.json
[... 1551 lines cut ...]
+Expected behavior: at least {reduction}% lower edit-error rate among edit calls with recorded tool replies than the pooled reference rate. The audit reference is 32/276 (11.6%); the comparison must use this new batch's reference rate, not that historic value. The share of immediate identical retries after errors should not rise; its historic count is only 9/488, so it is a secondary measure. Reading before an edit may rise. No thought-length reduction is required. Syntax errors should stay below 3% of completed tool calls, and the edit should not add long repetitive thoughts.
+
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

scp -q turn7/ground_cpu.py turn7/cpu.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/
ssh -o BatchMode=yes wrx90 'mkdir -p /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/cpu; nohup bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/cpu.sh > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/cpu.log 2>&1 < /dev/null & echo "'$!'"'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 694ms:
685577

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
+    p=R/f'results/wsp31/batches/b007/{arm}/rebench/shard0_gpu0/task_results.jsonl'
[... 766 lines cut ...]
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Managing CPU and GPU resources**

 succeeded in 283ms:
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
Sat Nov 14 04:24:34 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
[... 1601 lines cut ...]
+Expected behavior: at least {reduction}% lower edit-error rate among edit calls with recorded tool replies than the pooled reference rate. The audit reference is 32/276 (11.6%); the comparison must use this new batch's reference rate, not that historic value. The share of immediate identical retries after errors should not rise; its historic count is only 9/488, so it is a secondary measure. Reading before an edit may rise. No thought-length reduction is required. Syntax errors should stay below 3% of completed tool calls, and the edit should not add long repetitive thoughts.
+
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/cpu.log; tail -12 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/hold1.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 681ms:
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
Sat Nov 14 04:26:08 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
[... 1651 lines cut ...]
+Expected behavior: at least {reduction}% lower edit-error rate among edit calls with recorded tool replies than the pooled reference rate. The audit reference is 32/276 (11.6%); the comparison must use this new batch's reference rate, not that historic value. The share of immediate identical retries after errors should not rise; its historic count is only 9/488, so it is a secondary measure. Reading before an edit may rise. No thought-length reduction is required. Syntax errors should stay below 3% of completed tool calls, and the edit should not add long repetitive thoughts.
+
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/cpu_timing.py; tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/cpu.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 2286ms:
0 [task] 122.55049347877502 4269
6 [task] 131.74973964691162 5392
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
Sat Nov 14 04:26:44 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
[... 823 lines cut ...]
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Analyzing processing timeline**

 succeeded in 306ms:
               total        used        free      shared  buff/cache   available
Mem:             183          88           4           1          94          95
Swap:              7           1           6
    PID COMMAND             ELAPSED
 685580 timeout               02:47
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
Sat Nov 14 04:27:03 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
[... 825 lines cut ...]
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Inspecting process arguments safely**

 succeeded in 322ms:
timeout 28712 /home/ke
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
Sat Nov 14 04:27:11 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
[... 826 lines cut ...]
+print('record written',q/'record.md',len(text.split()),'words')

**Managing GPU resource locks**
**Estimating model pass timing**
**Optimizing CPU evaluation workflow**
**Analyzing CPU and GPU parallelism strategies**
**Outlining evaluation and timing strategy**
**Managing GPU resource locks**

 succeeded in 290ms:
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
[  225.3] captured 0 [task] call 14 n 2760 pos 40
Sat Nov 14 04:28:57 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
[... 823 lines cut ...]
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

[line removed by the dashboard scrubber]
**Reviewing training performance and timing**
**Analyzing CPU vs GPU performance**

 succeeded in 303ms:
grep: __init__: No such file or directory
/home/keith/gemma-v2/wsp31/tools/g31.py:29:    def __init__(self, model_dir=MODEL_DIR):
/home/keith/gemma-v2/wsp31/tools/g31.py:46:    def is_global(self, l):
/home/keith/gemma-v2/wsp31/tools/g31.py:49:    def geom(self, l):
/home/keith/gemma-v2/wsp31/tools/g31.py:61:    def shape(self, l, mod):
/home/keith/gemma-v2/wsp31/tools/g31.py:69:def tensor_name(l, mod):
/home/keith/gemma-v2/wsp31/tools/g31.py:74:def read_header(model_dir=MODEL_DIR):
/home/keith/gemma-v2/wsp31/tools/g31.py:83:def dequant(packed, scale, group=32):
/home/keith/gemma-v2/wsp31/tools/g31.py:99:def gelu_tanh(x):
/home/keith/gemma-v2/wsp31/tools/g31.py:106:    def __init__(self, path, device="cuda:0"):
/home/keith/gemma-v2/wsp31/tools/g31.py:126:    vLLM server. `mirror=True` (default) rounds activations to bf16 at the points where vLLM does; `mirror=False`
/home/keith/gemma-v2/wsp31/tools/g31.py:130:    def __init__(self, device="cuda:0", model_dir=MODEL_DIR, mirror=True, cache_dense=False, layers=None):
/home/keith/gemma-v2/wsp31/tools/g31.py:162:    def base_weight(self, l, mod):
/home/keith/gemma-v2/wsp31/tools/g31.py:173:    def weight(self, l, mod):
/home/keith/gemma-v2/wsp31/tools/g31.py:179:    def eff_weight(self, l, mod):
/home/keith/gemma-v2/wsp31/tools/g31.py:187:    def set_adapter(self, adapter):
/home/keith/gemma-v2/wsp31/tools/g31.py:191:    def _r(self, x):
/home/keith/gemma-v2/wsp31/tools/g31.py:194:    def lin(self, l, mod, x):
/home/keith/gemma-v2/wsp31/tools/g31.py:207:    def rms(self, x, w=None):
[... 1740 lines cut ...]
+Expected behavior: at least {reduction}% lower edit-error rate among edit calls with recorded tool replies than the pooled reference rate. The audit reference is 32/276 (11.6%); the comparison must use this new batch's reference rate, not that historic value. The share of immediate identical retries after errors should not rise; its historic count is only 9/488, so it is a secondary measure. Reading before an edit may rise. No thought-length reduction is required. Syntax errors should stay below 3% of completed tool calls, and the edit should not add long repetitive thoughts.
+
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/prepare_closecheck.py; nohup bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/official_cpu.sh G30 > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/official_G30.log 2>&1 < /dev/null & echo "'$!; nohup bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/official_cpu.sh G30c > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/official_G30c.log 2>&1 < /dev/null & echo $!'"'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 1731ms:
official close-check context mewwts__addict.75284f95.combine_file__3fttj8ti 1 3216
742410
742411

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
+print('stage1 sets',len(allowed),len(current),'overlap',len(allowed&current))
+rows=[]
+for arm in ['base','aa']:
[... 860 lines cut ...]
+Control: no consistent source-error reduction; gain -6 to +6 tasks and error rates within the reference-arm spread. With both doses screened, the larger dose should lower the edit-error rate more, provided syntax remains intact.
+
+The mechanism fails if the edit-error rate falls by less than 10%, or if the control lowers it as much. If errors fall but solved tasks do not rise, the proposed solve-rate benefit fails. A solve-rate gain without the predicted error change is not support for this mechanism. New syntax failures or long loops reject the dose. Screening is the first test of task outcomes; this record claims none.
+'''
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Tracking time and captures**

 succeeded in 305ms:
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
[  225.3] captured 0 [task] call 14 n 2760 pos 40
[  445.2] captured 1 r1chardj0n3s__parse.30da9e4f.fun call 17 n 3185 pos 91
Sat Nov 14 04:31:46 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
+current=set((R/'wsp31/queue/sets/stage1_ids_v2.txt').read_text().split())
[... 1773 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/cpu.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 742ms:
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
[  225.3] captured 0 [task] call 14 n 2760 pos 40
[  445.2] captured 1 r1chardj0n3s__parse.30da9e4f.fun call 17 n 3185 pos 91
Sat Nov 14 04:33:54 AM UTC 2026

diff --git a/turn7/audit_calls.py b/turn7/audit_calls.py
new file mode 100644
index 0000000000000000000000000000000000000000..88d3d4bae0d29adbec8882242dfc8bc2ae4959b1
--- /dev/null
+++ b/turn7/audit_calls.py
@@ -0,0 +1,32 @@
+import json,collections
+from pathlib import Path
+R=Path('/home/keith/gemma-v2'); A=R/'wsp31/authors/gpt'; S=A/'scratch/turn7'
+allowed=set((R/'wsp31/queue/sets/stage1_ids.txt').read_text().split())
[... 889 lines cut ...]
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Managing CPU evaluation snapshots**
**Handling data capping statistics**
**Analyzing model instruction effects**

ssh -o BatchMode=yes wrx90 'nohup bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/extra_cpu.sh > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/extra.log 2>&1 < /dev/null & echo "'$!; tail -9 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/cpu.log; date -u'"'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 793ms:
761255
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
[  225.3] captured 0 [task] call 14 n 2760 pos 40
[  445.2] captured 1 r1chardj0n3s__parse.30da9e4f.fun call 17 n 3185 pos 91
Sat Nov 14 04:35:04 AM UTC 2026

diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
index 0000000000000000000000000000000000000000..897f15d4b557b8b5816de0766fc7ca7fb61e2e42
--- /dev/null
+++ b/turn7/adopt_cpu.py
@@ -0,0 +1,14 @@
+"""Promote completed CPU artifacts to the turn's canonical paths; never changes adapter bytes."""
+from pathlib import Path
+import json,shutil,torch
[... 1942 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 311ms:
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
[  225.3] captured 0 [task] call 14 n 2760 pos 40
[  445.2] captured 1 r1chardj0n3s__parse.30da9e4f.fun call 17 n 3185 pos 91
[  669.0] captured 2 django-money__django-money.835c1 call 1 n 3348 pos 87
Sat Nov 14 04:36:46 AM UTC 2026

diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
index 0000000000000000000000000000000000000000..897f15d4b557b8b5816de0766fc7ca7fb61e2e42
--- /dev/null
+++ b/turn7/adopt_cpu.py
@@ -0,0 +1,14 @@
+"""Promote completed CPU artifacts to the turn's canonical paths; never changes adapter bytes."""
+from pathlib import Path
+import json,shutil,torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn7';S=A/'scratch/turn7'
[... 962 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Summarizing CPU and data capture status**

ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/update_notes.py cpu-capture; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 625ms:
notes cpu-capture 351 words
Sat Nov 14 04:37:17 AM UTC 2026

diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
index 0000000000000000000000000000000000000000..897f15d4b557b8b5816de0766fc7ca7fb61e2e42
--- /dev/null
+++ b/turn7/adopt_cpu.py
@@ -0,0 +1,14 @@
+"""Promote completed CPU artifacts to the turn's canonical paths; never changes adapter bytes."""
+from pathlib import Path
+import json,shutil,torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn7';S=A/'scratch/turn7'
+assert (S/'cpu/eval.pt').exists()
+if (S/'hold1_start').exists() and not (S/'hold1_end').exists():raise RuntimeError('GPU pass is active; do not replace its artifacts')
+if (C/'ground_stats.pt').exists() and not (S/'fallback_used.json').exists():raise RuntimeError('A GPU-fit candidate already exists')
+st=torch.load(C/'cpu_ground_stats.pt',weights_only=False)
+shutil.copy2(C/'cpu_ground_stats.pt',C/'ground_stats.pt')
[... 1958 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/provenance.py; tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/cpu.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 696ms:
{"torch": "2.10.0", "transformers": "5.13.1", "safetensors": "0.8.0", "vllm": "0.19.1", "numpy": "2.2.6"}
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
[  225.3] captured 0 [task] call 14 n 2760 pos 40
[  445.2] captured 1 r1chardj0n3s__parse.30da9e4f.fun call 17 n 3185 pos 91
[  669.0] captured 2 django-money__django-money.835c1 call 1 n 3348 pos 87
[  897.1] captured 3 rubik__radon.54b88e58.func_basic call 1 n 3430 pos 52
Sat Nov 14 04:39:17 AM UTC 2026

diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
index 0000000000000000000000000000000000000000..897f15d4b557b8b5816de0766fc7ca7fb61e2e42
--- /dev/null
+++ b/turn7/adopt_cpu.py
@@ -0,0 +1,14 @@
+"""Promote completed CPU artifacts to the turn's canonical paths; never changes adapter bytes."""
[... 997 lines cut ...]
**Analyzing orthogonal reflection adjustments**
**Managing control directory naming**
**Analyzing build script and control updates**
**Optimizing CPU evaluation scheduling**
**Correcting control logic and CPU integration**
**Analyzing evaluation workflow details**
**Noting CPU budget constraints**
**Analyzing resource control updates**

scp -q turn7/ground_job.py turn7/stop_own.py turn7/replay_cpu.py turn7/replay_after_capture.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/
ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/stop_own.py 459713 742410 742411 761255; nohup bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/replay_after_capture.sh > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/replay_cpu.log 2>&1 < /dev/null & echo "'$!; tail -6 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/cpu.log; date -u'"'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 950ms:
prepared 24752
[{"root": 459713, "terminated": [459713]}, {"root": 742410, "terminated": [807808, 742410]}, {"root": 742411, "terminated": [807807, 742411]}, {"root": 761255, "terminated": [808091, 761255]}]
808287
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
[  225.3] captured 0 [task] call 14 n 2760 pos 40
[  445.2] captured 1 r1chardj0n3s__parse.30da9e4f.fun call 17 n 3185 pos 91
[  669.0] captured 2 django-money__django-money.835c1 call 1 n 3348 pos 87
[  897.1] captured 3 rubik__radon.54b88e58.func_basic call 1 n 3430 pos 52
[ 1134.7] captured 4 jd__tenacity.0d40e76f.func_basic call 21 n 3538 pos 51
Sat Nov 14 04:43:51 AM UTC 2026

diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
index 0000000000000000000000000000000000000000..897f15d4b557b8b5816de0766fc7ca7fb61e2e42
--- /dev/null
+++ b/turn7/adopt_cpu.py
@@ -0,0 +1,14 @@
[... 2191 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

ssh -o BatchMode=yes wrx90 'nohup bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/official_cpu.sh G30 > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/official_G30.log 2>&1 < /dev/null & echo "'$!; nohup bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/official_cpu.sh G30c > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/official_G30c.log 2>&1 < /dev/null & echo $!; tail -6 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/cpu.log; date -u'"'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 661ms:
814424
814425
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
[  225.3] captured 0 [task] call 14 n 2760 pos 40
[  445.2] captured 1 r1chardj0n3s__parse.30da9e4f.fun call 17 n 3185 pos 91
[  669.0] captured 2 django-money__django-money.835c1 call 1 n 3348 pos 87
[  897.1] captured 3 rubik__radon.54b88e58.func_basic call 1 n 3430 pos 52
[ 1134.7] captured 4 jd__tenacity.0d40e76f.func_basic call 21 n 3538 pos 51
Sat Nov 14 04:44:59 AM UTC 2026

diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
index 0000000000000000000000000000000000000000..897f15d4b557b8b5816de0766fc7ca7fb61e2e42
--- /dev/null
+++ b/turn7/adopt_cpu.py
@@ -0,0 +1,14 @@
+"""Promote completed CPU artifacts to the turn's canonical paths; never changes adapter bytes."""
+from pathlib import Path
[... 2213 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/cpu.log; tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/replay_cpu.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 660ms:
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
[  225.3] captured 0 [task] call 14 n 2760 pos 40
[  445.2] captured 1 r1chardj0n3s__parse.30da9e4f.fun call 17 n 3185 pos 91
[  669.0] captured 2 django-money__django-money.835c1 call 1 n 3348 pos 87
[  897.1] captured 3 rubik__radon.54b88e58.func_basic call 1 n 3430 pos 52
[ 1134.7] captured 4 jd__tenacity.0d40e76f.func_basic call 21 n 3538 pos 51
Sat Nov 14 04:45:42 AM UTC 2026

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
[... 1104 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Managing comment timing**

ssh -o BatchMode=yes wrx90 'tail -15 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/cpu.log; tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/replay_cpu.log; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 510ms:
[    0.0] deadline 2580 capture deadline 1200
[    0.9] train 6 eval 3 ['mewwts__addict.75284f95.', 'r1chardj0n3s__parse.30da', '[task]']
[line removed by the dashboard scrubber]
[    3.1] CPU FALLBACK model loaded; edited-serving agreement NOT VERIFIED
[  225.3] captured 0 [task] call 14 n 2760 pos 40
[  445.2] captured 1 r1chardj0n3s__parse.30da9e4f.fun call 17 n 3185 pos 91
[  669.0] captured 2 django-money__django-money.835c1 call 1 n 3348 pos 87
[  897.1] captured 3 rubik__radon.54b88e58.func_basic call 1 n 3430 pos 52
[ 1134.7] captured 4 jd__tenacity.0d40e76f.func_basic call 21 n 3538 pos 51
Sat Nov 14 04:46:13 AM UTC 2026

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
[... 1107 lines cut ...]
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Analyzing CPU capture setup**
**Validating model output consistency**
**Cleaning obsolete source files**

 succeeded in 262ms:
[ 1373.5] direction I1 records 6 |d|/|resid| every 6th ['0.002', '0.002', '0.001', '0.001', '0.004', '0.005', '0.007', '0.009', '0.008', '0.012'] split-half cos ['0.83', '0.89', '0.88', '0.67', '0.65', '0.48', '0.54', '0.44', '0.26', '0.29'] |delta|/|d| ['1.00', '0.77', '0.41', '0.36', '0.60', '0.55', '0.44', '0.43', '0.35', '0.34']
[ 1373.5] neuron 0 j 16094 {'use': 'ridge', 'cv_mean': '0.152', 'cv_ridge': '0.043', 's_bos_before': '0.908', 'proj': False, 'gbar': '7.949', 'act_cv_cal': '0.085', 'act_prompt': '0.797', 'act_prompt_sd': '0.105', 'act_bos': '0.830', 'act_min': '0.772', 'act_max': '1.214'} old norms ['1.01', '0.92', '0.47'] new ['0.35', '0.04']
[ 1373.5] neuron 6 j 5580 {'use': 'ridge', 'cv_mean': '0.155', 'cv_ridge': '0.053', 's_bos_before': '0.654', 'proj': False, 'gbar': '7.868', 'act_cv_cal': '0.105', 'act_prompt': '0.714', 'act_prompt_sd': '0.178', 'act_bos': '0.435', 'act_min': '0.704', 'act_max': '1.269'} old norms ['1.00', '0.88', '0.43'] new ['0.22', '0.03']
[ 1373.6] neuron 12 j 7113 {'use': 'ridge', 'cv_mean': '0.143', 'cv_ridge': '0.052', 's_bos_before': '1.099', 'proj': False, 'gbar': '7.755', 'act_cv_cal': '0.103', 'act_prompt': '0.680', 'act_prompt_sd': '0.134', 'act_bos': '1.246', 'act_min': '0.720', 'act_max': '1.233'} old norms ['0.85', '0.79', '0.36'] new ['0.43', '0.05']
[ 1373.6] neuron 18 j 2875 {'use': 'ridge', 'cv_mean': '0.184', 'cv_ridge': '0.052', 's_bos_before': '3.079', 'proj': True, 'gbar': '7.731', 'act_cv_cal': '0.131', 'act_prompt': '0.725', 'act_prompt_sd': '0.147', 'act_bos': '0.000', 'act_min': '0.591', 'act_max': '1.263'} old norms ['1.14', '1.13', '0.49'] new ['0.30', '0.04']
[ 1373.6] neuron 24 j 18949 {'use': 'ridge', 'cv_mean': '0.111', 'cv_ridge': '0.037', 's_bos_before': '1.158', 'proj': False, 'gbar': '7.866', 'act_cv_cal': '0.074', 'act_prompt': '0.794', 'act_prompt_sd': '0.105', 'act_bos': '1.360', 'act_min': '0.712', 'act_max': '1.163'} old norms ['1.01', '1.24', '0.48'] new ['0.52', '0.07']
[ 1373.6] neuron 30 j 15145 {'use': 'ridge', 'cv_mean': '0.216', 'cv_ridge': '0.082', 's_bos_before': '0.775', 'proj': False, 'gbar': '7.675', 'act_cv_cal': '0.155', 'act_prompt': '0.690', 'act_prompt_sd': '0.191', 'act_bos': '0.627', 'act_min': '0.420', 'act_max': '1.124'} old norms ['1.24', '0.79', '0.45'] new ['1.00', '0.12']
[ 1373.7] neuron 36 j 4457 {'use': 'ridge', 'cv_mean': '0.227', 'cv_ridge': '0.075', 's_bos_before': '0.698', 'proj': False, 'gbar': '7.672', 'act_cv_cal': '0.141', 'act_prompt': '0.583', 'act_prompt_sd': '0.200', 'act_bos': '0.509', 'act_min': '0.426', 'act_max': '1.097'} old norms ['0.82', '0.71', '0.50'] new ['1.27', '0.16']
[ 1373.7] neuron 42 j 4522 {'use': 'ridge', 'cv_mean': '0.308', 'cv_ridge': '0.074', 's_bos_before': '0.824', 'proj': False, 'gbar': '7.765', 'act_cv_cal': '0.143', 'act_prompt': '0.777', 'act_prompt_sd': '0.194', 'act_bos': '0.703', 'act_min': '0.611', 'act_max': '1.343'} old norms ['1.45', '1.24', '0.56'] new ['0.52', '0.06']
[ 1373.7] neuron 48 j 18196 {'use': 'ridge', 'cv_mean': '0.229', 'cv_ridge': '0.068', 's_bos_before': '0.811', 'proj': False, 'gbar': '7.801', 'act_cv_cal': '0.129', 'act_prompt': '0.812', 'act_prompt_sd': '0.197', 'act_bos': '0.675', 'act_min': '0.416', 'act_max': '1.202'} old norms ['1.02', '0.97', '0.49'] new ['0.33', '0.04']
[ 1373.8] neuron 54 j 13944 {'use': 'ridge', 'cv_mean': '0.215', 'cv_ridge': '0.054', 's_bos_before': '0.725', 'proj': False, 'gbar': '7.882', 'act_cv_cal': '0.105', 'act_prompt': '0.773', 'act_prompt_sd': '0.171', 'act_bos': '0.533', 'act_min': '0.672', 'act_max': '1.180'} old norms ['1.15', '1.24', '0.60'] new ['0.38', '0.05']
[ 1373.8] neuron 59 j 7930 {'use': 'ridge', 'cv_mean': '0.114', 'cv_ridge': '0.030', 's_bos_before': '0.518', 'proj': False, 'gbar': '7.994', 'act_cv_cal': '0.059', 'act_prompt': '0.834', 'act_prompt_sd': '0.204', 'act_bos': '0.269', 'act_min': '0.854', 'act_max': '1.142'} old norms ['1.07', '0.68', '0.36'] new ['0.21', '0.03']
[ 1373.8] st
[... 1306 characters cut ...]

ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/pair_geometry.py /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G10 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G10c; PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/pair_geometry.py /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G30 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G30c; date -u'" in C:\Users\Owner\wsp31_loop\work\gpt
 succeeded in 3957ms:
{"matrices": 180, "max_norm_mismatch": 0.0007003833435651035, "net_rel": 0.006531010178092998, "norm_squared_shares": {"down_proj": 0.0883287549580875, "gate_proj": 0.5639568923327042, "up_proj": 0.34771435270920753}, "new_raw_norm_ratio_min_med_max": [0.9987460364303841, 1.0000832447387193, 1.0024976224637483], "new_post_norm_ratio_min_med_max": [0.9985130507274579, 1.000219579087168, 1.0336821808790708], "new_write_cosine_min_med_max": [-0.3002030834059655, 0.011482291083019985, 0.27874025244045186]}
{"matrices": 180, "max_norm_mismatch": 0.0006596634082543199, "net_rel": 0.006748947381360214, "norm_squared_shares": {"down_proj": 0.1462575150798572, "gate_proj": 0.5281223481232311, "up_proj": 0.32562013679691115}, "new_raw_norm_ratio_min_med_max": [0.998871023544941, 0.9999547802018586, 1.0015328220316937], "new_post_norm_ratio_min_med_max": [0.99786242540014, 0.9999814337979892, 1.0303488934770586], "new_write_cosine_min_med_max": [-0.30021242710965323, 0.012004693257962851, 0.2784693959766695]}
Sat Nov 14 04:48:21 AM UTC 2026

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
[... 1105 lines cut ...]
+print('record written',q/'record.md',len(text.split()),'words')

**Analyzing parameter and training diagnostics**
**Analyzing instruction vector shifts**
**Analyzing final processing status**
**Analyzing model update strategy**
**Managing model loading and CPU resources**
**Analyzing syntax and metrics timing**

 succeeded in 392ms:
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
Sat Nov 14 04:50:39 AM UTC 2026

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
[... 1107 lines cut ...]
+print('record written',q/'record.md',len(text.split()),'words')

**Managing training schedule and resources**
**Assessing training progress**
**Formatting matrix norm mismatch**
**Confirming geometry verification**
**Analyzing task sequencing and records**
**Monitoring model execution timing**

 succeeded in 254ms:
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
Sat Nov 14 04:52:02 AM UTC 2026

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
[... 1101 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

context compacted

 succeeded in 274ms:
Sat Nov 14 04:56:34 AM UTC 2026
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
1 call records of 1 episodes, 2 points; reference arm: the unedited model (no champion)
reference close all       n=   1  log p(close)   -0.000  top is close 1.000  log p(logged)   -0.000  top is logged 1.000
reference close depth<200 n=   1  log p(close)   -0.000  top is close 1.000  log p(logged)   -0.000  top is logged 1.000
reference cont  all       n=   1  log p(close)  -15.128  top is close 0.000  log p(logged)   -0.003  top is logged 1.000
reference cont  depth<200 n=   1  log p(close)  -15.128  top is close 0.000  log p(logged)   -0.003  top is logged 1.000
edit      close all       n=   1  log p(close)   -0.000  top is close 1.000  log p(logged)   -0.000  top is logged 1.000
edit      close depth<200 n=   1  log p(close)   -0.000  top is close 1.000  log p(logged)   -0.000  top is logged 1.000
edit      cont  all       n=   1  log p(close)  -15.379  top is close 0.000  log p(logged)   -0.004  top is logged 1.000
edit      cont  depth<200 n=   1  log p(close)  -15.379  top is close 0.000  log p(logged)   -0.004  top is logged 1.000
change of log p(close) at close: mean -0.000, raised at 0.000 of 1 positions
change of log p(close) at cont: mean -0.251, raised at 0.000 of 1 positions
1 call records of 1 episodes, 2 points; reference arm: the unedited model (no champion)
reference close all       n=   1  log p(close)   -0.000  top is close 1.000  log p(logged)   -0.000  top is logged 1.000
[... 1124 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Reviewing brief and scripts**

 succeeded in 254ms:
# wsp31 author brief (read fully at the start of every turn)

You are one of three authors (claude, gpt, gemini) taking turns. Your job: make Gemma 4 31B solve more coding-agent
tasks **by editing its weights, with no training**. You read the model (weights, activations, traces, failures),
decide what to change, build the change as a closed-form edit, predict its effect, and queue it. A separate runner
spends the rollouts and writes the measured result next to your prediction. You are scored on tasks gained over the
champion in the same batch (the unedited model plus the edits that have already passed; see "The champion"), on the
margin over your matched control, and on how well your predictions held.

**Be bold.** Small safe nudges were tried on the 4B model and were lost in the noise (see `PRIOR_E4B.md`). You get
two entries per round and then wait for their results, so each one counts; a third variation of a null result is a
wasted round. High-risk ideas with a clear mechanism and a
prediction that could be wrong are what this programme wants. Say what would prove you wrong.

## Where you work

- Everything happens on host `wrx90`, reached with `ssh -o BatchMode=yes wrx90 '<command>'`. Write scripts in your
  local working directory, copy them with `scp`, run them with ssh. Keep ssh output small (`tail`, `cut`, `head`).
- Root: `/home/keith/gemma-v2` (below: `$R`). Python: `$R/tii-venv/bin/python` (torch, transformers, vLLM 0.19.1,
[... 1399 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 265ms:
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
ls: cannot access '/home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/eval.pt': No such file or directory
import sys,json,hashlib,torch
from pathlib import Path
C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn7'
sys.path.insert(0,str(C));import ground_job as J
slug,candidate,level=sys.argv[1:4];q=A/'queue'/slug;assert not (q/'READY').exists()
st=torch.load(C/'ground_stats.pt',weights_only=False)
size=json.loads((q/'size.json').read_text());g=json.loads((q/'pair_geometry.json').read_text())
ev=json.loads((S/'eval_report.json').read_text());gen=json.loads((S/'generation.json').read_text()) if (S/'generation.json').exists() else {'arms':[]}
mode=json.loads((S/'fallback_used.json').read_text()) if (S/'fallback_used.json').exists() else {'capture_device':'cuda:0','eval_device':'cuda:0'}
cpu=mode['capture_device']=='cpu'
sel=(S/'selection.md').read_text();dose=next(x[2] for x in J.ARMS if x[0]==candidate)
check=json.loads((S/'selected.json').read_text())['eval']
fit='; '.join(f'{task} ({arm}, call {call})' for task,arm,call in st['used'])
[... 1261 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Checking resource usage and logging**

 succeeded in 242ms:
Sat Nov 14 04:56:53 AM UTC 2026
bash: line 1: closeprobe.py: command not found
bash: line 1: replay_cpu.py: command not found
bash: line 1: official_cpu.sh: command not found
"""Build corrected matched controls and replay two check calls plus a third check using the same CPU model."""
import sys,os,json,shutil,time,datetime
from pathlib import Path
os.environ['CUDA_VISIBLE_DEVICES']=''
C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn7'
sys.path.insert(0,str(C));import ground_job as J
import torch,g31
torch.set_num_threads(16);torch.set_grad_enabled(False)
st=torch.load(C/'cpu_ground_stats.pt',weights_only=False)
shutil.copy2(C/'cpu_ground_stats.pt',C/'ground_stats.pt');shutil.copy2(S/'cpu/selected.json',S/'selected.json')
(S/'ad').mkdir(exist_ok=True)
J.ARMS[:]=[x for x in J.ARMS if x[0] in ['G10','G30','G10c','G30c']]
names=J.build_grid(st,str(S/'ad'))
assert len(names)==4
(S/'replay_cpu_ready').touch()
[... 1137 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Handling PowerShell SSH quoting**

 succeeded in 69ms:

> def evaluate(m, st, names, addir, ev, itok):
      import g31
      ads = {}
      for nm in names:
          try:
              ads[nm] = g31.Adapter(f"{addir}/{nm}", str(m.dev))
          except Exception as ex:
              log("ADAPTER LOAD FAILED", nm, repr(ex)[:300])
[line removed by the dashboard scrubber]
      GLs = [L for L in st["layers"] if L % 6 == 0 or L == 59]
      variants = [("base", None, None)] + [("P_" + k, k, None) for k in itok] + [(nm, None, ads[nm]) for nm in names 
if nm in ads]
      res = dict(variants=[v[0] for v in variants], records=[], GLs=GLs)
      tt = set(TOOLTOK)
      first_arm = names[0] if names else None
      for ri, rec in enumerate(ev):
          if time.time() - T0 > DEADLINE - 40:
              break
[... 1207 lines cut ...]
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Reviewing evidence and processing claims**

I'm considering how to verify claims efficiently without duplicating work, using local scripts and patches to handle corrections and optimize CPU usage. I'm balancing running different verification modes while ensuring the official high-confidence sources remain primary.

 succeeded in 31ms:
"""Summarize actual flips, delimiter decisions, and logged-path agreement from the saved forward pass."""
from pathlib import Path
import sys,json,torch
C=Path(__file__).resolve().parent;A=C.parent.parent;S=A/'scratch/turn7'
sys.path.insert(0,str(C));import ground_job as J
path=Path(sys.argv[1]) if len(sys.argv)>1 else S/'eval.pt'
res=torch.load(path,weights_only=False);summ=J.summary(res)
for name,row in summ.items():
 if name=='neuron_act_over_gbar':continue
 den=bad=flip=basebad=baseagree=editagree=n=0;tasks=set()
 for r in res['records']:
  if name not in r['v'] or 'base' not in r['v']:continue
  y=torch.tensor(r['nxt']);b=r['v']['base'];e=r['v'][name];d=y==52
  den+=int(d.sum());bad+=int((e['top'][d]!=52).sum());basebad+=int((b['top'][d]!=52).sum())
  flip+=int((e['top']!=b['top']).sum());baseagree+=int((b['top']==y).sum());editagree+=int((e['top']==y).sum());n+=len(y)
  if bool((e['top']!=b['top']).any()):tasks.add(r['instance'])
 row.update({'top_flips':flip,'tasks_with_flips':len(tasks),'delimiter_n':den,'delimiter_wrong':bad,'base_delimiter_wrong':basebad,
  'base_logged_agreement':baseagree/max(n,1),'arm_logged_agreement':editagree/max(n,1)})
(S/(path.stem+'_report.json')).write_text(json.dumps(summ,indent=2))
[... 2294 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 287ms:
2026-11-14T04:57:27.599047+00:00
OWN_PROCESS 808287 parent 1 state S bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/replay_after_capture.sh 
OWN_PROCESS 833203 parent 808287 state S timeout 1966 /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/replay_cpu.py 
OWN_PROCESS 833204 parent 833203 state R /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/replay_cpu.py 
ARTIFACT official_close_G30.json 1856 2026-11-14T04:54:48.953986+00:00
ARTIFACT official_close_G30c.json 1854 2026-11-14T04:54:46.838001+00:00
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324


diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
[... 1129 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Assessing resource allocation**

 succeeded in 238ms:
898379

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
[... 2267 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 323ms:
notes replay-running 380 words

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
[... 1122 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Analyzing CPU and memory usage timing**

 succeeded in 309ms:
Sat Nov 14 04:58:12 AM UTC 2026
    PID ELAPSED     TIME %CPU   RSS    VSZ
 833204     658 02:11:43 1200 77881872 88017408
               total        used        free      shared  buff/cache   available
Mem:           183Gi        89Gi       6.4Gi       1.2Gi        90Gi        93Gi
Swap:          8.0Gi       1.5Gi       6.5Gi
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
419M	/home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
[... 1133 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

[line removed by the dashboard scrubber]

 succeeded in 263ms:
code-reader-damp-r4-033
code-writer-damp-r4-011
code-writer-damp-r4-033
writer-close-amplify-033
writer-close-amplify-050
writer-close-shift-011
"""Rebuild a matched pair from frozen source-grounding statistics, CPU only."""
import argparse,json,hashlib,sys
from pathlib import Path
import torch
P=Path(__file__).resolve().parent
sys.path.insert(0,str(P));import ground_job as J
torch.set_num_threads(8);torch.set_grad_enabled(False)
ap=argparse.ArgumentParser();ap.add_argument('out');ap.add_argument('--dose',type=float,required=True);a=ap.parse_args()
out=Path(a.out);assert not (out/'READY').exists()
st=torch.load(P/'ground_stats.pt',weights_only=False)
for kind in ['edit','ctrl']:
 e,rho=J.build_arm(st,'I1',a.dose,kind=='ctrl')
 e.save(str(out/kind),note={'author':'gpt','turn':7,'contrast':'source-grounding minus generic instruction',
[... 2425 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 340ms:
2026-11-14T04:58:51.422751+00:00
OWN_PROCESS 808287 parent 1 state S bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/replay_after_capture.sh 
OWN_PROCESS 833203 parent 808287 state S timeout 1966 /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/replay_cpu.py 
OWN_PROCESS 833204 parent 833203 state R /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/replay_cpu.py 
OWN_PROCESS 898293 parent 1 state S bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/official_cpu.sh G10 
OWN_PROCESS 898295 parent 898293 state S timeout 600 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/closeprobe.py --adapter /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G10 --device cpu --probeset /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/closec
OWN_PROCESS 898296 parent 898295 state R /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/closeprobe.py --adapter /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G10 --device cpu --probeset /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/closecheck.jsonl -
OWN_PROCESS 898379 parent 1 state S bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/official_cpu.sh G10c 
OWN_PROCESS 898381 parent 898379 state S timeout 600 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/closeprobe.py --adapter /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G10c --device cpu --probeset /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/close
OWN_PROCESS 898382 parent 898381 state R /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/closeprobe.py --adapter /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G10c --device cpu --probeset /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/closecheck.jsonl 
ARTIFACT official_close_G30.json 1856 2026-11-14T04:54:48.953986+00:00
ARTIFACT official_close_G30c.json 1854 2026-11-14T04:54:46.838001+00:00
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324


[... 2307 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 302ms:
2026-11-14T05:00:19.073748+00:00
OWN_PROCESS 808287 parent 1 state S bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/replay_after_capture.sh 
OWN_PROCESS 833203 parent 808287 state S timeout 1966 /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/replay_cpu.py 
OWN_PROCESS 833204 parent 833203 state R /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/replay_cpu.py 
OWN_PROCESS 898293 parent 1 state S bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/official_cpu.sh G10 
OWN_PROCESS 898295 parent 898293 state S timeout 600 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/closeprobe.py --adapter /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G10 --device cpu --probeset /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/closec
OWN_PROCESS 898296 parent 898295 state R /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/closeprobe.py --adapter /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G10 --device cpu --probeset /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/closecheck.jsonl -
OWN_PROCESS 898379 parent 1 state S bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/official_cpu.sh G10c 
OWN_PROCESS 898381 parent 898379 state S timeout 600 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/closeprobe.py --adapter /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G10c --device cpu --probeset /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/close
OWN_PROCESS 898382 parent 898381 state R /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/closeprobe.py --adapter /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn7/ad/G10c --device cpu --probeset /home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/closecheck.jsonl 
ARTIFACT eval.pt 559529125 2026-11-14T04:58:52.855795+00:00
ARTIFACT official_close_G30.json 1856 2026-11-14T04:54:48.953986+00:00
ARTIFACT official_close_G30c.json 1854 2026-11-14T04:54:46.838001+00:00
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
[  696.7] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 7
[... 1152 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Reviewing process timing and storage**

 succeeded in 2084ms:
P_I1 {"records": 1, "positions": 76, "top_flips": 1, "tasks_with_flips": 1, "dlogp_close_at_close": 1.4304641808848828e-06, "close_kept": 1, "n_close": 1, "delimiter_wrong": 0, "delimiter_n": 2, "kl_base": 0.0013819223171786259, "base_logged_agreement": 1.0}
P_I0 {"records": 1, "positions": 76, "top_flips": 1, "tasks_with_flips": 1, "dlogp_close_at_close": -1.0728435881901532e-06, "close_kept": 1, "n_close": 1, "delimiter_wrong": 0, "delimiter_n": 2, "kl_base": 0.0008103777899553901, "base_logged_agreement": 1.0}
G10 {"records": 1, "positions": 76, "top_flips": 0, "tasks_with_flips": 0, "dlogp_close_at_close": -2.1456871763803065e-06, "close_kept": 1, "n_close": 1, "delimiter_wrong": 0, "delimiter_n": 2, "kl_base": 0.00025991269534355715, "reproduced": -0.5267132715925895, "shift_cos": 0.13662113641437731, "base_logged_agreement": 1.0}
G30 {"records": 1, "positions": 76, "top_flips": 0, "tasks_with_flips": 0, "dlogp_close_at_close": -1.2754862837027758e-05, "close_kept": 1, "n_close": 1, "delimiter_wrong": 0, "delimiter_n": 2, "kl_base": 0.0024416864310440266, "reproduced": -2.884639471568697, "shift_cos": 0.11097521530954461, "base_logged_agreement": 1.0}
G10c {"records": 1, "positions": 76, "top_flips": 0, "tasks_with_flips": 0, "dlogp_close_at_close": -5.006600986234844e-06, "close_kept": 1, "n_close": 1, "delimiter_wrong": 0, "delimiter_n": 2, "kl_base": 0.0002765493026297343, "reproduced": -0.28339577496721846, "shift_cos": 0.08752521088248805, "base_logged_agreement": 1.0}
G30c {"records": 1, "positions": 76, "top_flips": 1, "tasks_with_flips": 1, "dlogp_close_at_close": -8.34435923025012e-07, "close_kept": 1, "n_close": 1, "delimiter_wrong": 0, "delimiter_n": 2, "kl_base": 0.0007530759627881803, "reproduced": -0.5413483931033563, "shift_cos": 0.10675011183086194, "base_logged_agreement": 1.0}

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
[... 1140 lines cut ...]
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Analyzing candidate model building constraints**
**Estimating runtime and resource usage**
**Planning model build timing and resources**

 succeeded in 253ms:
926274

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
[... 2379 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 327ms:
Sat Nov 14 05:02:07 AM UTC 2026
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356
               total        used        free      shared  buff/cache   available
Mem:           183Gi        99Gi       1.7Gi       1.2Gi        85Gi        83Gi
Swap:          8.0Gi       1.5Gi       6.5Gi

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
[... 1185 lines cut ...]
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Preparing final processing scripts**

I’m refining a shell script to handle final entry sequencing with prechecks and clear outputs, ensuring it runs quickly and requires no user approval while organizing source data and environment details precisely.

 succeeded in 2269ms:
{"matrices": 180, "max_norm_mismatch": 0.0006989640307118448, "net_rel": 0.008460321213163048, "norm_squared_shares": {"down_proj": 0.45671805324200465, "gate_proj": 0.3360724603527619, "up_proj": 0.20720948640523387}, "new_raw_norm_ratio_min_med_max": [0.9991924727086231, 0.9999700964520073, 1.0011830748955104], "new_post_norm_ratio_min_med_max": [0.9975598848916281, 0.9999398894806819, 1.032177300982882], "new_write_cosine_min_med_max": [-0.30050975673647984, 0.011771087324045176, 0.27970512183963453]}

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
[... 1177 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Improving model and script handling**

 succeeded in 461ms:
notes dose9-scout-running 409 words

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
[... 2379 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 352ms:
Sat Nov 14 05:04:02 AM UTC 2026
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
[  696.7] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 7
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356
               total        used        free      shared  buff/cache   available
Mem:           183Gi       132Gi       2.3Gi       1.2Gi        52Gi        51Gi
Swap:          8.0Gi       1.5Gi       6.5Gi

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
[... 1191 lines cut ...]
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Analyzing thread and timing constraints**
**Reviewing numerical adjustments**
**Reviewing error and training details**

 succeeded in 3197ms:
G90 {"r": 1, "scale": 2.0, "changed": 180, "of": 420, "net_rel": 0.00846, "rel_median": 0.007908, "rel_min": 0.003739, "rel_max": 0.1364, "rel_max_mod": "1.down_proj", "total_rel": 0.01025, "total_fro": 17.45, "stable_rank_median": 1.0, "part_rank_median": 1.0}
  by type {'down_proj': 0.00825, 'gate_proj': 0.00824, 'up_proj': 0.007}
  by depth (10-layer bands) [0.0065, 0.0073, 0.00777, 0.0081, 0.00805, 0.00848]
G90c {"r": 1, "scale": 2.0, "changed": 180, "of": 420, "net_rel": 0.008461, "rel_median": 0.00791, "rel_min": 0.003739, "rel_max": 0.1364, "rel_max_mod": "1.down_proj", "total_rel": 0.01025, "total_fro": 17.45, "stable_rank_median": 1.0, "part_rank_median": 1.0}
  by type {'down_proj': 0.00825, 'gate_proj': 0.00824, 'up_proj': 0.007}
  by depth (10-layer bands) [0.0065, 0.0073, 0.00777, 0.00809, 0.00805, 0.00848]
G30 {"r": 1, "scale": 2.0, "changed": 180, "of": 420, "net_rel": 0.006749, "rel_median": 0.007437, "rel_min": 0.003694, "rel_max": 0.04565, "rel_max_mod": "1.down_proj", "total_rel": 0.00818, "total_fro": 13.92, "stable_rank_median": 1.0, "part_rank_median": 1.0}
  by type {'down_proj': 0.0073, 'gate_proj': 0.00824, 'up_proj': 0.007}
  by depth (10-layer bands) [0.00593, 0.00691, 0.00745, 0.00781, 0.00759, 0.00808]
G30c {"r": 1, "scale": 2.0, "changed": 180, "of": 420, "net_rel": 0.006749, "rel_median": 0.007437, "rel_min": 0.003693, "rel_max": 0.04564, "rel_max_mod": "1.down_proj", "total_rel": 0.00818, "total_fro": 13.92, "stable_rank_median": 1.0, "part_rank_median": 1.0}
  by type {'down_proj': 0.0073, 'gate_proj': 0.00824, 'up_proj': 0.007}
  by depth (10-layer bands) [0.00593, 0.00691, 0.00745, 0.00781, 0.00759, 0.00808]

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
[... 1189 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Assessing model status**

 succeeded in 338ms:
Sat Nov 14 05:05:00 AM UTC 2026
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
[... 2384 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 307ms:
Sat Nov 14 05:06:32 AM UTC 2026
edit      cont  all       n=   1  log p(close)  -15.191  top is close 0.000  log p(logged)   -0.004  top is logged 1.000
edit      cont  depth<200 n=   1  log p(close)  -15.191  top is close 0.000  log p(logged)   -0.004  top is logged 1.000
change of log p(close) at close: mean -0.000, raised at 0.000 of 1 positions
change of log p(close) at cont: mean -0.063, raised at 0.000 of 1 positions
edit      cont  all       n=   1  log p(close)  -15.128  top is close 0.000  log p(logged)   -0.003  top is logged 1.000
edit      cont  depth<200 n=   1  log p(close)  -15.128  top is close 0.000  log p(logged)   -0.003  top is logged 1.000
change of log p(close) at close: mean -0.000, raised at 0.000 of 1 positions
change of log p(close) at cont: mean +0.000, raised at 1.000 of 1 positions
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
[  696.7] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 7
               total        used        free      shared  buff/cache   available
Mem:           183Gi       142Gi       7.3Gi       904Mi        36Gi        40Gi
Swap:          8.0Gi       1.8Gi       6.2Gi

[... 1195 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Tracking task timing**

 succeeded in 260ms:
955690

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
[... 1178 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Analyzing resource and process constraints**

 succeeded in 67ms:
"""Stop only a verified author-gpt job subtree by explicit root PID."""
import os,sys,signal,subprocess,json,time
from pathlib import Path
prefix='/home/keith/gemma-v2/wsp31/authors/gpt/code/turn7/'
receipt=[]
for arg in sys.argv[1:]:
 root=int(arg);p=Path(f'/proc/{root}/cmdline')
 if not p.exists():receipt.append({'root':root,'state':'already gone'});continue
 cmd=p.read_bytes().replace(b'\0',b' ').decode(errors='replace')
 assert prefix in cmd, f'not an owned turn7 job: {root}'
 rows=subprocess.check_output(['ps','-eo','pid=,ppid='],text=True).splitlines();children={}
 for row in rows:
  x,y=map(int,row.split());children.setdefault(y,[]).append(x)
 def walk(pid):
  out=[]
  for ch in children.get(pid,[]):out+=walk(ch)
  return out+[pid]
 targets=walk(root)
 for pid in targets:
[... 2421 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 277ms:
Sat Nov 14 05:08:20 AM UTC 2026
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
[  696.7] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 7
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
[... 1187 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Noting timing constraints**

 succeeded in 327ms:
Sat Nov 14 05:09:15 AM UTC 2026
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356
[  456.8] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 3
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
[  696.7] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 7

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
[... 1187 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Noticing time and data values**

 succeeded in 2993ms:
G90 {"records": 1, "positions": 76, "top_flips": 0, "tasks_with_flips": 0, "dlogp_close_at_close": -4.338971120887436e-05, "close_kept": 1, "n_close": 1, "delimiter_wrong": 0, "delimiter_n": 2, "kl_base": 0.019851937105781155, "base_logged_agreement": 1.0}
G90c {"records": 1, "positions": 76, "top_flips": 1, "tasks_with_flips": 1, "dlogp_close_at_close": 1.5496661944780499e-06, "close_kept": 1, "n_close": 1, "delimiter_wrong": 0, "delimiter_n": 2, "kl_base": 0.008246201433633504, "base_logged_agreement": 1.0}

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
[... 1180 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Analyzing tool call patterns**

 succeeded in 287ms:
{
  "train": [
    {
      "instance": "[task]",
      "run": "/home/keith/gemma-v2/results/wsp31/batches/b001/aa",
      "call": 14
    },
    {
      "instance": "r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im",
      "run": "/home/keith/gemma-v2/results/wsp31/batches/b001/zero",
      "call": 17
    },
    {
      "instance": "django-money__django-money.835c1ab8.lm_rewrite__v5cndhkm",
      "run": "/home/keith/gemma-v2/results/wsp31/batches/b001/aa",
      "call": 1
    },
    {
      "instance": "rubik__radon.54b88e58.func_basic__sn48uojb",
[... 1233 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Managing queued processes and validations**

 succeeded in 347ms:
title: Damp the code-versus-prose style contrast in readers in all layers at 0.33 percent

## Hypothesis

[line removed by the dashboard scrubber]

[line removed by the dashboard scrubber]

## Exact recipe

base: champion generation 0

Code: code/turn4/build_fidelity.py. Inputs: code/turn4/fidelity_calls.jsonl and fidelity_directions.pt; captured by fidelity_worker.py with the frozen g31 library in code/turn4/tools. No optimizer, trained-adapter direction, agent rollout or new server.

Per task, sample at most 32 interior code-argument positions and 32 preceding thought positions, evenly spaced. Capture raw writer directions (post-attention output divided by its norm weight; raw MLP output), and normalized reader inputs (attention input norm of resid_pre; mlp_in). Normalize each position to unit length before averaging. For each layer and space, subtract thought mean from code mean and remove its projection on the normalized grand mean of the two classes. Take the top four right singular vectors of the six task differences; weight each projector by squared singular value divided by the leading squared singular value. SVD signs are fixed by the largest absolute coordinate.

For writers, dW = -beta * V.T diag(w) V W on o_proj and down_proj (120 matrices). For readers, dW = -beta * W V.T diag(w) V on q/k/v/gate/up_proj (300 matrices). This entry uses readers. Use module-space directions; no inverse post-norm approximation enters the saved projector. Later RMS norms and nonlinear interactions remain part of the forward pre-test. Per-matrix relative Frobenius norms are equalized, then all factors scaled to target whole-network size 0.33 percent. Stored factors are bf16, rank 4, alpha 8. The entry contains only its change; generation 0 has no overlap to discuss.

Control: same builder, layers, modules, rank, negative sign, spectral weights and per-matrix norm, using Gaussian orthonormal directions orthogonal to both the fitted subspace and common mean. Seed 314000 + 100*layer + space index. The readers used by the projector change with its direction; there is no separate learned gate. This tests whether code-specific directions beat an equally broad random change. Bf16 rounding can leave a small norm mismatch, reported below.
[... 1266 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Evaluating model performance notes**

 succeeded in 289ms:
Sat Nov 14 05:10:22 AM UTC 2026
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
[  696.7] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 7
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356
[  456.8] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 3

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
[... 2392 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 305ms:
Sat Nov 14 05:11:45 AM UTC 2026
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
[  696.7] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 7
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356
[  456.8] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 3

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
[... 1189 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Coordinating finalization workflow**

 succeeded in 360ms:
Sat Nov 14 05:12:46 AM UTC 2026
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
[  696.7] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 7
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356
[  456.8] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 3

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
[... 1213 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Managing model resources and finalization**

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
index 0000000000000000000000000000000000000000..56f6d2800d736741ead1b5386c123f06e82a95bb
--- /dev/null
+++ b/turn7/adopt_cpu.py
[... 2431 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Confirming build completion**

 succeeded in 2653ms:
{"matrices": 180, "max_norm_mismatch": 0.0006989640307118448, "net_rel": 0.008460321213163048, "norm_squared_shares": {"down_proj": 0.45671805324200465, "gate_proj": 0.3360724603527619, "up_proj": 0.20720948640523387}, "new_raw_norm_ratio_min_med_max": [0.9991924727086231, 0.9999700964520073, 1.0011830748955104], "new_post_norm_ratio_min_med_max": [0.9975598848916281, 0.9999398894806819, 1.032177300982882], "new_write_cosine_min_med_max": [-0.30050975673647984, 0.011771087324045176, 0.27970512183963453]}
Sat Nov 14 05:13:31 AM UTC 2026
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
[  696.7] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 7
[ 1566.7] evaluated 1 r1chardj0n3s__parse.30da9e4f.fun call 1 pos 77 variants 7
SUMMARY P_I1 {"records": 2, "positions": 153, "flip_all": 0.0196078431372549, "flip_thought": 0.030612244897959183, "n_thought": 98, "early_close_top": 0, "dlogp_close_inside": -0.07601472309657506, "n_close": 2, "dlogp_close_at_close": -0.23401129248122743, "close_kept": 2, "n_tool": 2, "flip_tool": 0, "kl_base": 0.005449148369770424, "tv_base": 0.011526802980821897, "dlogp_logged": -0.00887839330567254}
SUMMARY P_I0 {"records": 2, "positions": 153, "flip_all": 0.0196078431372549, "flip_thought": 0.02040816326530612, "n_thought": 98, "early_close_top": 1, "dlogp_close_inside": -0.13316110445528614, "n_close": 2, "dlogp_close_at_close": -0.2112529128589813, "close_kept": 2, "n_tool": 2, "flip_tool": 0, "kl_base": 0.004588651939544802, "tv_base": 0.010886404444189632, "dlogp_logged": -0.007827918513927584}
SUMMARY G10 {"records": 2, "positions": 153, "flip_all": 0.006535947712418301, "flip_thought": 0.01020408163265306, "n_thought": 98, "early_close_top": 0, "dlogp_close_inside": -0.09147808503131477, "n_close": 2, "dlogp_close_at_close": -0.0017988327490456868, "close_kept": 2, "n_tool": 2, "flip_tool": 0, "kl_base": 0.0008043115410734626, "tv_base": 0.0054137311340157505, "dlogp_logged": -0.0032713235008950325, "kl_prompt_to_arm": 0.010627667985710442, "kl_prompt_to_base": 0.005449148369770424, "reproduced": -0.9503355872393311, "shift_cos": 0.15124175751131344, "prompt_flips": 3, "prompt_flips_matched": 1, "resid_cos": ["0.31", "0.11", "0.42", "0.34", "-0.10", "0.16", "0.12", "0.18", "0.18", "0.18", "0.22"], "resid_ratio": ["0.36", "0.89", "0.83", "0.58", "0.87", "1.48", "0.91", "1.29", "1.41", "1.15", "1.27"]}
SUMMARY G30 {"records": 2, "positions": 153, "flip_all": 0.006535947712418301, "flip_thought": 0.01020408163265306, "n_thought": 98, "early_close_top": 0, "dlogp_close_inside": 0.04276471235314194, "n_close": 2, "dlogp_close_at_close": -0.006697415108646965, "close_kept": 2, "n_tool": 2, "flip_tool": 0, "kl_base": 0.005291779154266407, "tv_base": 0.015162247847887425, "dlogp_logged": -0.0022583541527293085, "kl_prompt_to_arm": 0.015210626756443697, "kl_prompt_to_base": 0.005449148369770424, "reproduced": -1.791376876582373, "shift_cos": 0.12410037969452103, "prompt_flips": 3, "prompt_flips_matched": 1, "resid_cos": ["0.30", "-0.02", "0.48", "0.34", "-0.11", "0.18", "0.15", "0.17", "0.17", "0.13", "0.11"], "resid_ratio": ["1.04", "3.64", "3.01", "1.89", "2.63", "3.06", "1.92", "2.46", "2.68", "2.31", "3.09"]}
SUMMARY G10c {"records": 2, "positions": 153, "flip_all": 0.006535947712418301, "flip_thought": 0.01020408163265306, "n_thought": 98, "early_close_top": 0, "dlogp_close_inside": 0.04578574579589221, "n_close": 2, "dlogp_close_at_close": 0.0008396004341193475, "close_kept": 2, "n_tool": 2, "flip_tool": 0, "kl_base": 0.00047362959803709016, "tv_base": 0.004377656512790256, "dlogp_logged": -0.002138412174056558, "kl_prompt_to_arm": 0.011776267216096516, "kl_prompt_to_base": 0.005449148369770424, "reproduced": -1.1611206773936047, "shift_cos": 0.1446478444766375, "prompt_flips": 3, "prompt_flips_matched": 1, "resid_cos": ["-0.10", "-0.06", "0
[... 1945 characters cut ...]

 succeeded in 2451ms:
P_I1 {"records": 2, "positions": 153, "top_flips": 3, "tasks_with_flips": 2, "dlogp_close_at_close": -0.23401129248122743, "close_kept": 2, "n_close": 2, "delimiter_wrong": 0, "delimiter_n": 4, "kl_base": 0.005449148369770424, "base_logged_agreement": 0.9934640522875817}
P_I0 {"records": 2, "positions": 153, "top_flips": 3, "tasks_with_flips": 2, "dlogp_close_at_close": -0.2112529128589813, "close_kept": 2, "n_close": 2, "delimiter_wrong": 0, "delimiter_n": 4, "kl_base": 0.004588651939544802, "base_logged_agreement": 0.9934640522875817}
G10 {"records": 2, "positions": 153, "top_flips": 1, "tasks_with_flips": 1, "dlogp_close_at_close": -0.0017988327490456868, "close_kept": 2, "n_close": 2, "delimiter_wrong": 0, "delimiter_n": 4, "kl_base": 0.0008043115410734626, "reproduced": -0.9503355872393311, "shift_cos": 0.15124175751131344, "base_logged_agreement": 0.9934640522875817}
G30 {"records": 2, "positions": 153, "top_flips": 1, "tasks_with_flips": 1, "dlogp_close_at_close": -0.006697415108646965, "close_kept": 2, "n_close": 2, "delimiter_wrong": 0, "delimiter_n": 4, "kl_base": 0.005291779154266407, "reproduced": -1.791376876582373, "shift_cos": 0.12410037969452103, "base_logged_agreement": 0.9934640522875817}
G10c {"records": 2, "positions": 153, "top_flips": 1, "tasks_with_flips": 1, "dlogp_close_at_close": 0.0008396004341193475, "close_kept": 2, "n_close": 2, "delimiter_wrong": 0, "delimiter_n": 4, "kl_base": 0.00047362959803709016, "reproduced": -1.1611206773936047, "shift_cos": 0.1446478444766375, "base_logged_agreement": 0.9934640522875817}
G30c {"records": 2, "positions": 153, "top_flips": 3, "tasks_with_flips": 2, "dlogp_close_at_close": 0.001968126991414465, "close_kept": 2, "n_close": 2, "delimiter_wrong": 0, "delimiter_n": 4, "kl_base": 0.0021215195651927026, "reproduced": -1.8918619491244875, "shift_cos": 0.12177504745184206, "base_logged_agreement": 0.9934640522875817}

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
[... 1208 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Managing source selection and hashing**

 succeeded in 365ms:
Sat Nov 14 05:14:05 AM UTC 2026
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356
[  456.8] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 3
[{"root": 808287, "terminated": [833204, 833203, 808287]}]

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
[... 2434 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 257ms:
Sat Nov 14 05:15:22 AM UTC 2026
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356
[  456.8] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 3

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
[... 1208 lines cut ...]
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Analyzing execution timing and task progress**
**Reviewing local update process**

 exited 1 in 246ms:
Sat Nov 14 05:15:54 AM UTC 2026
[    0.1] built G90 r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
[    0.2] built G90c r 1 net_rel 0.00846 rho min/med/max 0.023 0.098 0.700
Dose 9 scout start ['G90', 'G90c'] deadline 967.9745161533356
[  456.8] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 3
[  831.0] evaluated 1 r1chardj0n3s__parse.30da9e4f.fun call 1 pos 77 variants 3
Dose 9 scout complete 831.0372333526611
edit      cont  depth<200 n=   1  log p(close)  -15.820  top is close 0.000  log p(logged)   -0.007  top is logged 1.000
change of log p(close) at close: mean -0.000, raised at 0.000 of 1 positions
change of log p(close) at cont: mean -0.691, raised at 0.000 of 1 positions
edit      cont  depth<200 n=   1  log p(close)  -15.628  top is close 0.000  log p(logged)   -0.003  top is logged 1.000
change of log p(close) at close: mean +0.000, raised at 1.000 of 1 positions
change of log p(close) at cont: mean -0.500, raised at 0.000 of 1 positions
    PID ELAPSED STAT

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
[... 1216 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Preparing final report**

 succeeded in 1188ms:
G90 {"records": 2, "positions": 153, "top_flips": 7, "tasks_with_flips": 1, "dlogp_close_at_close": -0.7987921225594619, "close_kept": 1, "n_close": 2, "delimiter_wrong": 0, "delimiter_n": 4, "kl_base": 0.04850537870444503, "base_logged_agreement": 0.9934640522875817}
G90c {"records": 2, "positions": 153, "top_flips": 4, "tasks_with_flips": 2, "dlogp_close_at_close": 0.0017610483064345317, "close_kept": 2, "n_close": 2, "delimiter_wrong": 0, "delimiter_n": 4, "kl_base": 0.015556784626705195, "base_logged_agreement": 0.9934640522875817}
{
  "G90": {
    "records": 2,
    "positions": 153,
    "flip_all": 0.0457516339869281,
    "flip_thought": 0.061224489795918366,
    "n_thought": 98,
    "early_close_top": 0,
    "dlogp_close_inside": 0.46434967858450754,
    "n_close": 2,
    "dlogp_close_at_close": -0.7987921225594619,
    "close_kept": 1,
    "n_tool": 2,
    "flip_tool": 0,
    "kl_base": 0.04850537870444503,
    "tv_base": 0.043238323498395535,
    "dlogp_logged": -0.042580965297674044
[... 1358 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Managing queue and draft states**

 succeeded in 255ms:
DECLINED G90; SELECTED G30 then G10
notes finalizing-dose3 492 words

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
[... 1236 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Finalizing first question**

 succeeded in 7204ms:
BUILT_AND_VERIFIED /home/keith/gemma-v2/wsp31/authors/gpt/queue/source-grounding-icv-b3

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
[... 1233 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 2005ms:
{"matrices": 180, "max_norm_mismatch": 0.0006596634082543199, "net_rel": 0.006748947381360214, "norm_squared_shares": {"down_proj": 0.1462575150798572, "gate_proj": 0.5281223481232311, "up_proj": 0.32562013679691115}, "new_raw_norm_ratio_min_med_max": [0.998871023544941, 0.9999547802018586, 1.0015328220316937], "new_post_norm_ratio_min_med_max": [0.99786242540014, 0.9999814337979892, 1.0303488934770586], "new_write_cosine_min_med_max": [-0.30021242710965323, 0.012004693257962851, 0.2784693959766695]}
record written /home/keith/gemma-v2/wsp31/authors/gpt/queue/source-grounding-icv-b3/record.md 2385 words
edit whole network percent 0.6748947381360214 matrices 180
ctrl whole network percent 0.6748890342914293 matrices 180
title: Source-grounding instruction contrast across all 60 layers at dose 3
base: champion generation 0
size: whole network 0.674895% over 180 matrices, largest matrix 4.565040%
control size: whole network 0.674889% over 180 matrices, largest matrix 4.564322%
Control: identical gate/up changes, neuron, layers, rank and dose. First flip the signs of the intended NEW down column c with seed 710000 + L. Let u be the unit old column, a = (c dot u)u, and z be the randomized column projected off u. Set the new control column to a + z * norm(c-a)/norm(z), then subtract the old column to form the update. This preserves the norm of the new write and its projection onto the old column, so the total column-update norm also matches before rounding. The remaining direction is random. The largest stored per-matrix norm mismatch is 0.00066. Stored new-column raw-norm ratio (control/edit), min/median/max: [0.998871023544941, 0.9999547802018586, 1.0015328220316937]. The corresponding post-norm-weighted ratio: [0.99786242540014, 0.9999814337979892, 1.0303488934770586]. This controls update direction while holding the read edits fixed. An initial whole-update sign control was discarded before edited replay because it could leave a large old-column write under the new gate; CONTROL_AMENDMENT.md records the correction. Those discarded controls are not this entry's ctrl/.
| G10 | 2 / 153 | 1 | 0.000804 | -0.00180 | 2/2 | 0/4 |
| G30 | 2 / 153 | 1 | 0.005292 | -0.00670 | 2/2 | 0/4 |
| G90 | 2 / 153 | 7 | 0.048505 | -0.79879 | 1/2 | 0/4 |
| G10c | 2 / 153 | 1 | 0.000474 | +0.00084 | 2/2 | 0/4 |
| G30c | 2 / 153 | 3 | 0.002122 | +0.00197 | 2/2 | 0/4 |
| G90c | 2 / 153 | 4 | 0.015557 | +0.00176 | 2/2 | 0/4 |
[line removed by the dashboard scrubber]
Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
predicted_gain_120: -8 to 12
HASHES_AND_REQUIREMENTS_OK source-grounding-icv-b3 READY_EXISTS False
[... 1253 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Verifying final records and grammar**

 succeeded in 279ms:
# Champion

Generation 0: the unedited model. No edit has passed yet.

Every 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.

READY source-grounding-icv-b3 2026-11-14T05:17:37.166886+00:00

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
[... 1241 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Confirming readiness to proceed**

 succeeded in 7793ms:
BUILT_AND_VERIFIED /home/keith/gemma-v2/wsp31/authors/gpt/queue/source-grounding-icv-b1

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
[... 1233 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 2069ms:
{"matrices": 180, "max_norm_mismatch": 0.0007003833435651035, "net_rel": 0.006531010178092998, "norm_squared_shares": {"down_proj": 0.0883287549580875, "gate_proj": 0.5639568923327042, "up_proj": 0.34771435270920753}, "new_raw_norm_ratio_min_med_max": [0.9987460364303841, 1.0000832447387193, 1.0024976224637483], "new_post_norm_ratio_min_med_max": [0.9985130507274579, 1.000219579087168, 1.0336821808790708], "new_write_cosine_min_med_max": [-0.3002030834059655, 0.011482291083019985, 0.27874025244045186]}
record written /home/keith/gemma-v2/wsp31/authors/gpt/queue/source-grounding-icv-b1/record.md 2385 words
edit whole network percent 0.6531010178092999 matrices 180
ctrl whole network percent 0.653100179718465 matrices 180
title: Source-grounding instruction contrast across all 60 layers at dose 1
base: champion generation 0
size: whole network 0.653101% over 180 matrices, largest matrix 1.586776%
control size: whole network 0.653100% over 180 matrices, largest matrix 1.586776%
Control: identical gate/up changes, neuron, layers, rank and dose. First flip the signs of the intended NEW down column c with seed 710000 + L. Let u be the unit old column, a = (c dot u)u, and z be the randomized column projected off u. Set the new control column to a + z * norm(c-a)/norm(z), then subtract the old column to form the update. This preserves the norm of the new write and its projection onto the old column, so the total column-update norm also matches before rounding. The remaining direction is random. The largest stored per-matrix norm mismatch is 0.0007. Stored new-column raw-norm ratio (control/edit), min/median/max: [0.9987460364303841, 1.0000832447387193, 1.0024976224637483]. The corresponding post-norm-weighted ratio: [0.9985130507274579, 1.000219579087168, 1.0336821808790708]. This controls update direction while holding the read edits fixed. An initial whole-update sign control was discarded before edited replay because it could leave a large old-column write under the new gate; CONTROL_AMENDMENT.md records the correction. Those discarded controls are not this entry's ctrl/.
| G10 | 2 / 153 | 1 | 0.000804 | -0.00180 | 2/2 | 0/4 |
| G30 | 2 / 153 | 1 | 0.005292 | -0.00670 | 2/2 | 0/4 |
| G90 | 2 / 153 | 7 | 0.048505 | -0.79879 | 1/2 | 0/4 |
| G10c | 2 / 153 | 1 | 0.000474 | +0.00084 | 2/2 | 0/4 |
| G30c | 2 / 153 | 3 | 0.002122 | +0.00197 | 2/2 | 0/4 |
| G90c | 2 / 153 | 4 | 0.015557 | +0.00176 | 2/2 | 0/4 |
[line removed by the dashboard scrubber]
Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
predicted_gain_120: -8 to 10
HASHES_AND_REQUIREMENTS_OK source-grounding-icv-b1 READY_EXISTS False
[... 1251 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

 succeeded in 290ms:
READY source-grounding-icv-b1 2026-11-14T05:18:07.601592+00:00
notes round-complete 493 words
2026-11-14T05:18:07.631210+00:00
ARTIFACT eval.pt 1126397497 2026-11-14T05:13:22.422107+00:00
ARTIFACT summary.json 6768 2026-11-14T05:13:22.988355+00:00
ARTIFACT official_close_G30.json 1856 2026-11-14T04:54:48.953986+00:00
ARTIFACT official_close_G30c.json 1854 2026-11-14T04:54:46.838001+00:00
ARTIFACT submitted.json 60 2026-11-14T05:18:07.601541+00:00
[    0.1] built G10 r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.1] built G30 r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
[    0.2] built G10c r 1 net_rel 0.00653 rho min/med/max 0.003 0.011 0.078
[    0.2] built G30c r 1 net_rel 0.00675 rho min/med/max 0.008 0.033 0.233
CPU corrected-control replay start ['G10', 'G30', 'G10c', 'G30c'] deadline 1943.8063163757324
[  696.7] evaluated 0 mewwts__addict.75284f95.combine_ call 1 pos 76 variants 7
[ 1566.7] evaluated 1 r1chardj0n3s__parse.30da9e4f.fun call 1 pos 77 variants 7
SUMMARY P_I1 {"records": 2, "positions": 153, "flip_all": 0.0196078431372549, "flip_thought": 0.030612244897959183, "n_thought": 98, "early_close_top": 0, "dlogp_close_inside": -0.07601472309657506, "n_close": 2, "dlogp_close_at_close": -0.23401129248122743, "close_kept": 2, "n_tool": 2, "flip_tool": 0, "kl_base": 0.005449148369770424, "tv_base": 0.011526802980821897, "dlogp_logged": -0.00887839330567254}
SUMMARY P_I0 {"records": 2, "positions": 153, "flip_all": 0.0196078431372549, "flip_thought": 0.02040816326530612, "n_thought": 98, "early_close_top": 1, "dlogp_close_inside": -0.13316110445528614, "n_close": 2, "dlogp_close_at_close": -0.2112529128589813, "close_kept": 2, "n_tool": 2, "flip_tool": 0, "kl_base": 0.004588651939544802, "tv_base": 0.010886404444189632, "dlogp_logged": -0.007827918513927584}
SUMMARY G10 {"records": 2, "positions": 153, "flip_all": 0.006535947712418301, "flip_thought": 0.01020408163265306, "n_thought": 98, "early_close_top": 0, "dlogp_close_inside": -0.09147808503131477, "n_close": 2, "dlogp_close_at_close": -0.0017988327490456868, "close_kept": 2, "n_tool": 2, "flip_tool": 0, "kl_base": 0.0008043115410734626, "tv_base": 0.0054137311340157505, "dlogp_logged": -0.0032713235008950325, "kl_prompt_to_arm": 0.010627667985710442, "kl_prompt_to_base": 0.005449148369770424, "reproduced": -0.9503355872393311, "shift_cos": 0.15124175751131344, "prompt_flips": 3, "prompt_flips_matched": 1, "resid_cos": ["0.31", "0.11", "0.42", "0.34", "-0.10", "0.16", "0.12", "0.18", "0.18", "0.18", "0.22"], "resid_ratio": ["0.36", "0.89", "0.83", "0.58", "0.87", "1.48", "0.91", "1.29", "1.41", "1.15", "1.27"]}
SUMMARY G30 {"records": 2, "positions": 153, "flip_all": 0.006535947712418301, "flip_thought": 0.01020408163265306, "n_thought": 98, "early_close_top": 0, "dlogp_close_inside": 0.04276471235314194, "n_close": 2, "dlogp_close_at_close": -0.006697415108646965, "close_kept": 2, "n_tool": 2, "flip_tool": 0, "kl_base": 0.005291779154266407, "tv_base": 0.015162247847887425, "dlogp_logged": -0.0022583541527293085, "kl_prompt_to_arm": 0.015210626756443697, "kl_prompt_to_base": 0.005449148369770424, "reproduced": -1.791376876582373, "shift_cos": 0.12410037969452103, "prompt_flips": 3, "prompt_flips_matched": 1, "resid_cos": ["0.30", "-0.02", "0.48", "0.34", "-0.11", "0.18", "0.15", "0.17", "0.17", "0.13", "0.11"], "resid_ratio": ["1.04", "3.64", "3.01", "1.89", "2.63", "3.06", "1.92", "2.46", "2.68", "2.31", "3.09"]}
[... 1259 lines cut ...]
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Verifying final job statuses**
**Summarizing CPU replay status**
**Assessing runner and command execution status**

 succeeded in 260ms:
Sat Nov 14 05:18:34 AM UTC 2026
-rw-rw-r-- 1 keith keith 0 Nov 14 00:18 /home/keith/gemma-v2/wsp31/authors/gpt/queue/source-grounding-icv-b1/READY
-rw-rw-r-- 1 keith keith 0 Nov 14 00:17 /home/keith/gemma-v2/wsp31/authors/gpt/queue/source-grounding-icv-b3/READY
| 0035 | gpt | source-grounding-icv-b3 | queued_s1 | -8 to +12 |  |  |  | - |
| 0036 | gpt | source-grounding-icv-b1 | queued_s1 | -8 to +10 |  |  |  | - |
[
  "source-grounding-icv-b3",
  "source-grounding-icv-b1"
]# Author gpt — turn 7, round-complete

Updated 2026-11-14T05:18:07.616372+00:00. Started 03:54 UTC; hard turn deadline 05:24 UTC, 14 Nov 2026. Champion generation 0 at design. One round, at most two entries.

Previous results: 0011/0012 harmful; 0025/0026 code-style writer damping null (-1 and 0 tasks against mean reference). Do not repeat close amplification. Parked 0013/0027 remain parked. Prior notes: code/turn7/previous_notes.md.

[line removed by the dashboard scrubber]

CPU audit: 208 b007 reference episodes from the 104 tasks shared by both stage-1 lists. Edit replies: 244 OK, 32 error, 57 missing; missing is not success. Only 9 immediate identical retries after 488 error replies, so retry suppression alone has a small ceiling. The main target is fewer incorrect edits and better use of tool evidence. The borgbackup example reconstructs source in thought then fails old_string matching.

[line removed by the dashboard scrubber]
[... 1262 lines cut ...]
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')

**Finalizing notes update process**

 succeeded in 221ms:
notes queued-s1-0035-and-0036 493 words

diff --git a/turn7/CONTROL_AMENDMENT.md b/turn7/CONTROL_AMENDMENT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf8d7cae7ed871f41889e96cb71fa1a97ff1da03
--- /dev/null
+++ b/turn7/CONTROL_AMENDMENT.md
@@ -0,0 +1,9 @@
+# Control correction before edited replay
+
+2026-11-14 04:44 UTC. No candidate has been queued or screened. Only unedited capture passes have run.
+
+The initial design flipped signs of the whole down-column update, c - old. This matches the weight-change norm, but the new column would be old + signflip(c - old). When c is small, that leaves a large part of old under the newly active gate. The control can therefore have a much larger functional write than the edit. This is a confound.
+
+The corrected control flips signs of the intended new column c (seed 710000 + layer), then preserves two constraints. Let u be the unit old column, a = (c dot u)u, and z = signflip(c) - (signflip(c) dot u)u. Set the control new column to a + z * norm(c-a)/norm(z). It has the same raw norm as c and the same projection onto old, so its update also has the same Frobenius norm as c-old, before rounding. The rest of the new direction is random. Both arms remove the old column in the same way and share the gate/up edits. Per-coordinate magnitudes after this projection are not fixed; report the post-norm write-size ratio and bf16 mismatch.
+
+The running capture script has the initial builder loaded. Its old control files under scratch/turn7/cpu/ad are discarded research artifacts. Stop that process after capture and fitting; rebuild under scratch/turn7/ad with corrected ground_job.py, then replay those exact weights with replay_cpu.py. Queue only weights that match this corrected replay byte for byte.
diff --git a/turn7/adopt_cpu.py b/turn7/adopt_cpu.py
new file mode 100644
[... 1233 lines cut ...]
+
+The official tools/closeprobe.py was run with --device cpu on a named exact check context, outside the fit tasks. Its CPU edited-serving agreement is NOT VERIFIED. {official_text} Full outputs are in the official_close JSON files and logs. This is an implementation cross-check on one context, not an independent outcome test.
+
+Served generation was NOT RUN: GPU 0 remained locked by another job. GPU 1 was not used. Consequently there is no measured free-generation syntax rate or long-loop rate, and no verdict from toolcall_check.py on generated calls. Logged-path delimiter choices are in the table; they cannot rule out failures after the edit changes the path. No task rollout or tool execution was launched.
+
+'''+text[end:]
+(q/'record.md').write_text(text)
+print('record written',q/'record.md',len(text.split()),'words')