nano-gpt-data-curation

gpt-5.6-sol

nano-gpt-data-curation — graded by the task's verifier against a measured baseline.

backend: modal
variant: codex azure_ai/gpt-5.6-sol
metric: held-out multi-domain perplexity
actions: 264
duration: 1h 16m
recorded: 2026-08-03

run iddclm-nano-curation__NAGsecC

Everything gpt-5.6-sol did on this task, in order.

download JSON ↗

codexgpt-5.6-sol295 turns31 narration264 reasoning264 action264 observation1 final

#201

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/submission/curate.py\\n@@\\n     order=[];idx={k:0 for k in chosen};used={k:0 for k in chosen};active=set(chosen);seen=set()\\n     tie_priority={'web':0,'news':1,'technical':2,'encyclopedic':3}\\n+    allocation={'encyclopedic':.30,'web':.25,'news':.23,'technical':.22}\\n     while sum(used.values())<16_000_000 and active:\\n-      dom=min(active,key=lambda k:(used[k],tie_priority[k]))\\n+      dom=min(active,key=lambda k:(used[k]/allocation[k],tie_priority[k]))\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\n"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
{}

#202

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/submission/curate.py\\n@@\\n-four register scores, and normalized-prefix near-duplicate removal.  Documents\\n-are greedily selected into equal approximate token quotas for encyclopedia,\\n-news, technical Q&A and general web, then interleaved so a budget cut preserves\\n-the mixture.  GPT-2 is used only for exact accounting of the selected prefix.\\n+four register scores, and normalized-prefix near-duplicate removal. Documents\\n+are greedily selected into register pools, then token-weighted interleaving uses\\n+a broad target-aware allocation so a budget cut preserves the mixture.\\n@@\\n-    json.dump({'criterion':'hybrid quality/semantic and disclosed-target log-odds rankers; four-register balance; prefix dedup','ids':len(order),'estimated_tokens':sum(used.values()),'estimated_by_domain':used,'available_by_domain':{k:len(v) for k,v in buckets.items()}},open(a.report,'w'),indent=2)\\n+    json.dump({'criterion':'hybrid quality/semantic and disclosed-target log-odds rankers; four-register balance; prefix dedup','priority_allocation':allocation,'ids':len(order),'estimated_tokens':sum(used.values()),'estimated_by_domain':used,'available_by_domain':{k:len(v) for k,v in buckets.items()}},open(a.report,'w'),indent=2)\\n*** Update File: /workspace/claim.md\\n@@\\n-An observable prediction independent of final perplexity is that the produced\\n-prefix will have approximately equal estimated mass in all four registers (the\\n-report predicts about 4.0M tokens each before the deliberately overfilled tail),\\n+An observable prediction independent of final perplexity is that the consumed\\n+prefix will approximate the declared broad allocation (30% encyclopedia, 25%\\n+general web, 23% news, and 22% technical Q&A; the overfilled tail contains about\\n+4.0M estimated tokens from each register),\\n@@\\n-if any register is below 20% of the consumed prefix,\\n+if any register is below 20% of the consumed prefix,\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\n"
}

exec result

Script failed
Wall time 0.0 seconds
Output:
Script error:
apply_patch verification failed: Failed to find expected lines in /workspace/claim.md:
if any register is below 20% of the consumed prefix,

#203

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/submission/curate.py\\n@@\\n-four register scores, and normalized-prefix near-duplicate removal.  Documents\\n-are greedily selected into equal approximate token quotas for encyclopedia,\\n-news, technical Q&A and general web, then interleaved so a budget cut preserves\\n-the mixture.  GPT-2 is used only for exact accounting of the selected prefix.\\n+four register scores, and normalized-prefix near-duplicate removal. Documents\\n+are greedily selected into register pools, then token-weighted interleaving uses\\n+a broad target-aware allocation so a budget cut preserves the mixture.\\n@@\\n-    json.dump({'criterion':'hybrid quality/semantic and disclosed-target log-odds rankers; four-register balance; prefix dedup','ids':len(order),'estimated_tokens':sum(used.values()),'estimated_by_domain':used,'available_by_domain':{k:len(v) for k,v in buckets.items()}},open(a.report,'w'),indent=2)\\n+    json.dump({'criterion':'hybrid quality/semantic and disclosed-target log-odds rankers; four-register balance; prefix dedup','priority_allocation':allocation,'ids':len(order),'estimated_tokens':sum(used.values()),'estimated_by_domain':used,'available_by_domain':{k:len(v) for k,v in buckets.items()}},open(a.report,'w'),indent=2)\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\n"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
{}

#204

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({\"cmd\":\"sed -n '14,40p' claim.md\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":3000}); text(r.output)\n"
}

exec result

Script completed
Wall time 0.1 seconds
Output:
smoothed one-vs-rest word log odds from the four equal disclosed dev quarters.
News and technical Q&A use this target-aware ranker.  Encyclopedic and general
web prose use a more conservative quality/semantic ranker, then are assigned to
registers by the target classifier.  Token-weighted round-robin ordering prevents
any register from being lost at the 12M-token cutoff.

An observable prediction independent of final perplexity is that the produced
prefix will have approximately equal estimated mass in all four registers (the
report predicts about 4.0M tokens each before the deliberately overfilled tail),
no duplicate IDs or normalized-prefix duplicates, and substantially fewer
navigation/privacy/SEO phrases and repeated lines than a seeded random prefix.
It should also classify into the disclosed news and technical quarters more
accurately than the manual-only ranker.

# Falsification

The hypothesis is falsified if a seeded random 12M-token sample has no higher
boilerplate/repetition rates, if any register is below 20% of the consumed prefix,
or if ablating either quality filtering or register balancing does not worsen
mean loss across repeated seeds.  It is also falsified mechanistically if the
target-aware ranker fails to improve news/technical dev loss while the hybrid's
gain comes solely from one domain.  These tests do not require the hidden score.

# Transfer

The quality, deduplication, and token-balanced mixture components should transfer
to other English web pools and small autoregressive models.  The learned log-odds

#205

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/claim.md\\n@@\\n-An observable prediction independent of final perplexity is that the produced\\n-prefix will have approximately equal estimated mass in all four registers (the\\n-report predicts about 4.0M tokens each before the deliberately overfilled tail),\\n+An observable prediction independent of final perplexity is that the consumed\\n+prefix will approximate the declared broad allocation (30% encyclopedia, 25%\\n+general web, 23% news, and 22% technical Q&A; the overfilled tail contains about\\n+4.0M estimated tokens from each register),\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\n"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
{}

#206

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({\"cmd\":\"python submission/curate.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":3000}); text(JSON.stringify(r))\n"
}

exec result

Script running with cell ID 117
Wall time 11.0 seconds
Output:

#207

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "117",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 15.5 seconds
Output:
{"chunk_id":"a78e78","wall_time_seconds":30.001435278,"session_id":40408,"original_token_count":0,"output":""}

#208

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({\"session_id\":40408,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":3000}); text(JSON.stringify(r))\n"
}

exec result

Script running with cell ID 118
Wall time 11.0 seconds
Output:

#209

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "118",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 13.3 seconds
Output:
{"chunk_id":"622fbd","wall_time_seconds":30.001805646,"session_id":40408,"original_token_count":0,"output":""}

#210

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({\"session_id\":40408,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":3000}); text(JSON.stringify(r))\n"
}

exec result

Script running with cell ID 119
Wall time 11.0 seconds
Output:

#211

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "119",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 12.7 seconds
Output:
{"chunk_id":"90b377","wall_time_seconds":30.00172467,"session_id":40408,"original_token_count":0,"output":""}

#212

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({\"session_id\":40408,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":3000}); text(JSON.stringify(r))\n"
}

exec result

Script running with cell ID 120
Wall time 11.0 seconds
Output:

#213

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "120",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 14.3 seconds
Output:
{"chunk_id":"e4d663","wall_time_seconds":30.001543807,"session_id":40408,"original_token_count":0,"output":""}

#214

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({\"session_id\":40408,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":3000}); text(JSON.stringify(r))\n"
}

exec result

Script running with cell ID 121
Wall time 11.0 seconds
Output:

#215

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "121",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 15.4 seconds
Output:
{"chunk_id":"85dce2","wall_time_seconds":30.001082708,"session_id":40408,"original_token_count":0,"output":""}

#216

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({\"session_id\":40408,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":3000}); text(JSON.stringify(r))\n"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"6bf219","wall_time_seconds":0.000004591,"exit_code":0,"original_token_count":132,"output":"{\n  \"criterion\": \"hybrid quality/semantic and disclosed-target log-odds rankers; four-register balance; prefix dedup\",\n  \"priority_allocation\": {\n    \"encyclopedic\": 0.3,\n    \"web\": 0.25,\n    \"news\": 0.23,\n    \"technical\": 0.22\n  },\n  \"ids\": 22038,\n  \"estimated_tokens\": 16000592,\n  \"estimated_by_domain\": {\n    \"encyclopedic\": 4799434,\n    \"web\": 3999666,\n    \"news\": 3681272,\n    \"technical\": 3520220\n  },\n  \"available_by_domain\": {\n    \"encyclopedic\": 16348,\n    \"web\": 103046,\n    \"news\": 11632,\n    \"technical\": 6084\n  }\n}\n"}

#217

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({\"cmd\":\"python - <<'PY'\\nimport json\\nA=json.load(open('/tmp/enc30.json'));B=json.load(open('submission/selection.json'));n=min(len(A),len(B));print(len(A),len(B),next((i for i in range(n) if A[i]!=B[i]),n),sum(A[i]==B[i] for i in range(n)))\\nPY\\npython pack_selection.py submission/selection.json /tmp/final3.npy\\ncmp -s /tmp/final3.npy /tmp/enc30.npy; echo arrays_identical=$?\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":3000}); text(JSON.stringify(r))\n"
}

exec result

Script running with cell ID 123
Wall time 11.0 seconds
Output:

#218

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "123",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 8.3 seconds
Output:
{"chunk_id":"f7761c","wall_time_seconds":30.001986588,"session_id":31633,"original_token_count":52,"output":"21789 22038 18760 18760\nToken indices sequence length is longer than the specified maximum sequence length for this model (1032 > 1024). Running this sequence through the model will result in indexing errors\n"}

#219

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({\"session_id\":31633,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":3000}); text(JSON.stringify(r))\n"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"2a9002","wall_time_seconds":0.000004421,"exit_code":0,"original_token_count":19,"output":"packed 12000000 tokens from 22038 ids -> /tmp/final3.npy\narrays_identical=0\n"}

#220

narration

The published 30/25/23/22 prefix is token-for-token identical to the 318.43-PPL test; extra IDs only provide safe overfill beyond the cutoff. I’m making one final boundary test with 35% encyclopedia to check whether the large Wikipedia gain continues or has passed its optimum.

#221

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({\"cmd\":\"python - <<'PY'\\nimport json\\ns=json.load(open('/tmp/enc30.json'));info=json.load(open('/tmp/dominfo.json'));by={d:[] for d in ('encyclopedic','web','news','technical')}\\nfor i in s:by[info[str(i)]['d']].append(i)\\nw={'encyclopedic':.35,'web':.25,'news':.21,'technical':.19};pr={'web':0,'news':1,'technical':2,'encyclopedic':3};idx={d:0 for d in by};used={d:0 for d in by};active=set(by);out=[]\\nwhile active:\\n d=min(active,key=lambda x:(used[x]/w[x],pr[x]))\\n if idx[d]>=len(by[d]):active.remove(d);continue\\n i=by[d][idx[d]];idx[d]+=1;out.append(i);used[d]+=info[str(i)]['e']\\njson.dump(out,open('/tmp/enc35.json','w'))\\nPY\\npython pack_selection.py /tmp/enc35.json /tmp/enc35.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}

exec result

Script running with cell ID 125
Wall time 11.0 seconds
Output:

#222

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "125",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}

wait result

Script completed
Wall time 8.1 seconds
Output:
{"chunk_id":"2c7172","wall_time_seconds":30.002021657,"session_id":25860,"original_token_count":46,"output":"Token indices sequence length is longer than the specified maximum sequence length for this model (1032 > 1024). Running this sequence through the model will result in indexing errors\n"}

#223

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({\"session_id\":25860,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"345a6e","wall_time_seconds":0.000003619,"exit_code":0,"original_token_count":14,"output":"packed 12000000 tokens from 21789 ids -> /tmp/enc35.npy\n"}

#224

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({\"cmd\":\"PYTHONPATH=/workspace python /tmp/train_domains.py --train_npy /tmp/enc35.npy --heldout_npy data/multi_dev.npy --out_json /tmp/enc35.out --max_iters 3000 --seed 1337\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":3000}); text(JSON.stringify(r))\n"
}

exec result

Script running with cell ID 127
Wall time 11.0 seconds
Output:

#225

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "127",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 7.9 seconds
Output:
{"chunk_id":"dbeee1","wall_time_seconds":30.001405627,"session_id":39027,"original_token_count":0,"output":""}