on-policy-self-distillation

gpt-5.6-sol

on-policy-self-distillation — graded by the task's verifier against a measured baseline.

backend: modal
variant: codex azure_ai/gpt-5.6-sol
metric: AIME24 avg@12 accuracy
actions: 627
duration: 6h 30m
recorded: 2026-08-02

run idopsd-aime24-4gpus__RqGcDty

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

download JSON ↗

codexgpt-5.6-sol684 turns57 narration627 reasoning627 action627 observation1 final

#151

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "91",
  "yield_time_ms": 30000,
  "max_tokens": 2500
}

wait result

Script completed
Wall time 15.2 seconds
Output:
Warning: truncated output (original token count: 2527)
Total output lines: 72

Warning: truncated output (original token count: 6180)
Total output lines: 110

<string>:24: FutureWarning: `torch_dtype` is deprecated and will be removed in version 0.27.0, please use `dtype` instead.

================================================================================
RUN CONFIGURATION
================================================================================
WandB Run Name: capped_seed42_lr5e-6_bs32
Output Directory: /workspace/runs/refined_long/capped_seed42
================================================================================


================================================================================
Loading model with dtype: torch.bfloat16
Using attention implementation: flash_attention_2
================================================================================

<string>:24: FutureWarning: `torch_dtype` is deprecated and will be removed in version 0.27.0, please use `dtype` instead.

================================================================================
RUN CONFIGURATION
================================================================================
WandB Run Name: capped_seed42_lr5e-6_bs32
Output Directory: /workspace/runs/refined_long/capped_seed42
================================================================================


================================================================================
Loading model with dtype: torch.bfloat16
Using attention implementation: flash_attention_2
================================================================================

<string>:24: FutureWarning: `torch_dtype` is deprecated and will be removed in version 0.27.0, please use `dtype` instead.

================================================================================
RUN CONFIGURATION
================================================================================
WandB Run Name: capped_seed42_lr5e-6_bs32
Output Directory: /workspace/runs/refined_long/capped_seed42
================================================================================


================================================================================
Loading model with dtype: torch.bfloat16
Using attention implementation: flash_attention_2
================================================================================

<string>:24: FutureWarning: `torch_dtype` is deprecated and will be removed in version 0.27.0, please use `dtype` instead.

================================================================================
RUN CONFIGURATION
================================================================================
WandB Run Name: capped_seed42_lr5e-6_bs32
Output Directory: /workspace/runs/refined_long/capped_seed42
================================================================================


================================================================================
Loading model with dtype: torch.bfloat16
Using attention implementation: flash_attention_2
================================================================================

Using the latest cached version of the dataset since siyanzhao/Openthoughts_math_30k_opsd couldn't be found on the Hugging Face Hub (offline mode is enabled).
Found the latest cached dataset configuration 'default' at /opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62 (last modified on Sun Aug  2 18:32:07 2026).
Using the latest cached version of the dataset since siyanzhao/Openthoughts_math_30k_opsd couldn't be found on the Hugging Face Hub (offline mode is enabled).
Found the latest cached dataset configuration 'default' at /opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62 (last modified on Sun Aug  2 18:32:07 2026).
Using the latest cached version of the dataset since siyanzhao/Openthoughts_math_30k_opsd couldn't be found on the Hugging Face Hub (offline mode is enabled).
Found the latest cached dataset configuration 'default' at /opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62 (last modified on Sun Aug  2 18:32:07 2026).

Filter:   0%|          | 0/29434 [00:00<?, ? examples/s]
Filter:   0%|          | 0/29434 [00:00<?, ? examples/s]Using the latest cached version of the dataset since siyanzhao/Openthoughts_math_30k_opsd couldn't be found on the Hugging Face Hub (offline mode is enabled).
Found the latest cached dataset configuration 'default' at /opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62 (last modified on Sun Aug  2 18:32:07 2026).

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#152

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:61078,chars:\"\",yield_time_ms:30000,max_output_tokens:1500});\ntext(r.output);\n"
}

exec result

Script running with cell ID 92
Wall time 11.0 seconds
Output:

#153

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "92",
  "yield_time_ms": 30000,
  "max_tokens": 1500
}

wait result

Script completed
Wall time 14.0 seconds
Output:
Warning: truncated output (original token count: 1527)
Total output lines: 24

Warning: truncated output (original token count: 4653)
Total output lines: 69


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Tokenizing train dataset:  53%|█████…27 tokens truncated…nected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0

Loading safetensors checkpoint shards:   0% Completed | 0/2 [00:00<?, ?it/s]

Loading safetensors checkpoint shards: 100% Completed | 2/2 [00:00<00:00,  3.36it/s]

Loading safetensors checkpoint shards: 100% Completed | 2/2 [00:00<00:00,  3.36it/s]


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Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 100%|██████████| 5/5 [00:00<00:00, 22.64it/s]
Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 100%|██████████| 5/5 [00:00<00:00, 21.49it/s]

Capturing CUDA graphs (decode, FULL):   0%|          | 0/4 [00:00<?, ?it/s]
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Capturing CUDA graphs (decode, FULL): 100%|██████████| 4/4 [00:00<00:00, 29.49it/s]
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}.
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}.
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}.
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}.

#154

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:61078,chars:\"\",yield_time_ms:30000,max_output_tokens:1800});\ntext(r.output);\n"
}

exec result

Script running with cell ID 93
Wall time 11.0 seconds
Output:

#155

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "93",
  "yield_time_ms": 30000,
  "max_tokens": 1800
}

wait result

Script completed
Wall time 14.2 seconds
Output:
[rank1]:W0802 19:05:56.532000 7359 torch/utils/cpp_extension.py:2425] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. 
[rank1]:W0802 19:05:56.532000 7359 torch/utils/cpp_extension.py:2425] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures.
[rank2]:W0802 19:05:56.562000 7360 torch/utils/cpp_extension.py:2425] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. 
[rank2]:W0802 19:05:56.562000 7360 torch/utils/cpp_extension.py:2425] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures.

  0%|          | 0/100 [00:00<?, ?it/s]vLLM generation done - elapsed time: 5.03s, prompts: 4, total tokens: 4156, avg length: 1039.0, speed: 826.4 tok/s
vLLM generation done - elapsed time: 5.10s, prompts: 4, total tokens: 5151, avg length: 1287.8, speed: 1010.8 tok/s
vLLM generation done - elapsed time: 5.15s, prompts: 4, total tokens: 5746, avg length: 1436.5, speed: 1115.8 tok/s
vLLM generation done - elapsed time: 5.14s, prompts: 4, total tokens: 5755, avg length: 1438.8, speed: 1120.0 tok/s
/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
Could not estimate the number of tokens of the input, floating-point operations will not be computed
Could not estimate the number of tokens of the input, floating-point operations will not be computed
Could not estimate the number of tokens of the input, floating-point operations will not be computed
Could not estimate the number of tokens of the input, floating-point operations will not be computed
vLLM generation done - elapsed time: 5.00s, prompts: 4, total tokens: 4755, avg length: 1188.8, speed: 951.2 tok/s
vLLM generation done - elapsed time: 5.02s, prompts: 4, total tokens: 4729, avg length: 1182.2, speed: 941.4 tok/s
vLLM generation done - elapsed time: 5.03s, prompts: 4, total tokens: 4646, avg length: 1161.5, speed: 923.5 tok/s
vLLM generation done - elapsed time: 5.04s, prompts: 4, total tokens: 4877, avg length: 1219.2, speed: 968.6 tok/s

  1%|          | 1/100 [00:11<19:33, 11.86s/it]vLLM generation done - elapsed time: 4.93s, prompts: 4, total tokens: 4150, avg length: 1037.5, speed: 842.1 tok/s
vLLM generation done - elapsed time: 5.03s, prompts: 4, total tokens: 4796, avg length: 1199.0, speed: 954.2 tok/s
vLLM generation done - elapsed time: 5.09s, prompts: 4, total tokens: 5418, avg length: 1354.5, speed: 1063.8 tok/s
vLLM generation done - elapsed time: 5.11s, prompts: 4, total tokens: 5992, avg length: 1498.0, speed: 1173.6 tok/s
vLLM generation done - elapsed time: 3.98s, prompts: 4, total tokens: 3026, avg length: 756.5, speed: 761.1 tok/s
vLLM generation done - elapsed time: 4.99s, prompts: 4, total tokens: 5077, avg length: 1269.2, speed: 1017.3 tok/s
vLLM generation done - elapsed time: 5.05s, prompts: 4, total tokens: 5039, avg length: 1259.8, speed: 997.7 tok/s
vLLM generation done - elapsed time: 5.13s, prompts: 4, total tokens: 6124, avg length: 1531.0, speed: 1193.3 tok/s

  2%|▏         | 2/100 [00:23<19:22, 11.86s/it]
                                               
{'loss': 0.0065, 'grad_norm': 0.14974702894687653, 'learning_rate': 4.95e-06, 'on_policy_loss': 0.0065, 'epoch': 0.02}

  2%|▏         | 2/100 [00:23<19:22, 11.86s/it]vLLM generation done - elapsed time: 4.99s, prompts: 4, total tokens: 4825, avg length: 1206.2, speed: 966.8 tok/s
vLLM generation done - elapsed time: 5.04s, prompts: 4, total tokens: 4944, avg length: 1236.0, speed: 980.0 tok/s
vLLM generation done - elapsed time: 5.06s, prompts: 4, total tokens: 5331, avg length: 1332.8, speed: 1054.3 tok/s
vLLM generation done - elapsed time: 5.08s, prompts: 4, total tokens: 5294, avg length: 1323.5, speed: 1042.5 tok/s
vLLM generation done - elapsed time: 3.93s, prompts: 4, total tokens: 4230, avg length: 1057.5, speed: 1076.3 tok/s
vLLM generation done - elapsed time: 4.72s, prompts: 4, total tokens: 2955, avg length: 738.8, speed: 626.2 tok/s
vLLM generation done - elapsed time: 5.00s, prompts: 4, total tokens: 4432, avg length: 1108.0, speed: 886.9 tok/s
vLLM generation done - elapsed time: 5.04s, prompts: 4, total tokens: 5396, avg length: 1349.0, speed: 1071.2 tok/s

  3%|▎         | 3/100 [00:35<19:04, 11.80s/it]

#156

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:61078,chars:\"\",yield_time_ms:30000,max_output_tokens:180});\ntext(r.output);\n"
}

exec result

Script running with cell ID 94
Wall time 11.0 seconds
Output:

#157

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "94",
  "yield_time_ms": 30000,
  "max_tokens": 180
}

wait result

Script completed
Wall time 15.3 seconds
Output:
Warning: truncated output (original token count: 206)
Total output lines: 11

Warning: truncated output (original token count: 907)
Total output lines: 33

vLLM generation done - elapsed time: 4.74s, prompts: 4, total tokens: 3423, avg length: 855.8, speed: 721.9 tok/s
vLLM generation done - elapsed time: 5.00s, prompts: 4, total tokens: 4188, avg length: 1047.0, speed: 838.1 tok/s
vLLM generation done - elapsed time: 5.03s, prompts: …26 tokens truncated…step_5.json
================================================================================


  6%|▌         | 6/100 [01:11<18:32, 11.84s/it]
                                               
{'loss': 0.0058, 'grad_norm': 0.124214306473732, 'learning_rate': 4.75e-06, 'on_policy_loss': 0.0058, 'epoch': 0.05}

  6%|▌         | 6/100 [01:11<18:32, 11.84s/it]

#158

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json,glob\\nxs=[]\\nfor f in glob.glob('/workspace/runs/refined_long/capped_seed42/generations/*.json'): xs+=json.load(open(f))['generations']\\nprint(len(xs), 'boxed',sum('\\\\\\\\boxed{' in x['completion'] for x in xs)/len(xs),'eos',sum('<|im_end|>' in x['completion'] for x in xs)/len(xs),'chars',sum(map(lambda x:len(x['completion']),xs))/len(xs))\\nPY\\ncat /workspace/.timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000});\ntext(r.output);\n"
}

exec result

Script completed
Wall time 0.1 seconds
Output:
48 boxed 0.6041666666666666 eos 0.5625 chars 2991.1875
19227

#159

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"rg \\\"AIME-matched\\\" /workspace/runs/refined_long/train_seed42.log | tail -4\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000});\ntext(r.output);\n"
}

exec result

Script completed
Wall time 0.1 seconds
Output:
AIME-matched OPSD mixture: 3656 rows (752 past-AIME replay, 864 AoPS, 1040 MATH, 1000 olympiad)
AIME-matched OPSD mixture: 3656 rows (752 past-AIME replay, 864 AoPS, 1040 MATH, 1000 olympiad)
AIME-matched OPSD mixture: 3656 rows (752 past-AIME replay, 864 AoPS, 1040 MATH, 1000 olympiad)
AIME-matched OPSD mixture: 3656 rows (752 past-AIME replay, 864 AoPS, 1040 MATH, 1000 olympiad)

#160

narration

The refined run confirms the intended coverage change: 60% of sampled traces already reach \boxed{...} at 1,536 tokens, versus 48% at 1,024, while memory and step time remain healthy. Its mixture is 752 replayed past-AIME rows plus 864 AoPS, 1,040 MATH, and 1,000 olympiad rows—all hard integer-answer examples.

#161

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:61078,chars:\"\",yield_time_ms:30000,max_output_tokens:120});\ntext(r.output);\n"
}

exec result

Script running with cell ID 97
Wall time 11.0 seconds
Output:

#162

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "97",
  "yield_time_ms": 30000,
  "max_tokens": 120
}

wait result

Script completed
Wall time 15.2 seconds
Output:
Warning: truncated output (original token count: 147)
Total output lines: 8

Warning: truncated output (original token count: 2677)
Total output lines: 207

vLLM generation done - elapsed time: 4.98s, prompts: 4, total tokens: 4641, avg length: 1160.2, speed: 932.8 tok/s
vLLM generation done - elapsed time: 5.02s, p…27 tokens truncated…3.9 tok/s
vLLM generation done - elapsed time: 5.02s, prompts: 4, total tokens: 4807, avg length: 1201.8, speed: 956.9 tok/s
vLLM generation done - elapsed time: 5.04s, prompts: 4, total tokens: 5013, avg length: 1253.2, speed: 993.8 tok/s

#163

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"tail -c 1200 /workspace/runs/refined_long/train_seed42.log | rg -o \\\"[0-9]+%\\\\|[^\\\\r]*|\\\\{'loss'.*\\\" | tail -4\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":500});\ntext(r.output);\n"
}

exec result

Script completed
Wall time 0.1 seconds
Output:
11%|█         | 11/100 [02:10<17:30, 11.80s/it]

#164

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:61078,chars:\"\",yield_time_ms:30000,max_output_tokens:100});\ntext(r.output);\n"
}

exec result

Script running with cell ID 99
Wall time 11.0 seconds
Output:

#165

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "99",
  "yield_time_ms": 30000,
  "max_tokens": 100
}

wait result

Script completed
Wall time 15.0 seconds
Output:
Warning: truncated output (original token count: 127)
Total output lines: 6

Warning: truncated output (original token count: 1835)
Total output lines: 220

vLLM generation done - elapsed time: 3.27s, prompts: 4, total tokens: 3032, avg length: 758.0, speed: 926.5 tok/s
vLLM g…27 tokens truncated…              
{'loss': 0.0013, 'grad_norm': 0.07489999383687973, 'learning_rate': 4.350000000000001e-06, 'on_policy_loss': 0.0013, 'epoch': 0.12}

 14%|█▍        | 14/100 [02:45<16:56, 11.82s/it]

#166

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:61078,chars:\"\",yield_time_ms:30000,max_output_tokens:80});\ntext(r.output);\n"
}

exec result

Script running with cell ID 100
Wall time 11.0 seconds
Output:

#167

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "100",
  "yield_time_ms": 30000,
  "max_tokens": 80
}

wait result

Script completed
Wall time 12.9 seconds
Output:
Warning: truncated output (original token count: 106)
Total output lines: 6

Warning: truncated output (original token count: 973)
Total output lines: 35

vLLM generation done - elapsed time: 4.16s, prompts: 4, total tokens: 3275, avg le…26 tokens truncated…4339, avg length: 1084.8, speed: 869.8 tok/s
vLLM generation done - elapsed time: 5.00s, prompts: 4, total tokens: 4678, avg length: 1169.5, speed: 935.2 tok/s

#168

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:61078,chars:\"\",yield_time_ms:30000,max_output_tokens:80});\ntext(r.output);\n"
}

exec result

Script running with cell ID 101
Wall time 11.0 seconds
Output:

#169

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "101",
  "yield_time_ms": 30000,
  "max_tokens": 80
}

wait result

Script completed
Wall time 15.3 seconds
Output:
Warning: truncated output (original token count: 107)
Total output lines: 8

Warning: truncated output (original token count: 2736)
Total output lines: 175

vLLM generation done - elapsed time: 4.87s, prompts: 4, total tokens: 3920, avg …27 tokens truncated…generations_step_20.json
================================================================================


 21%|██        | 21/100 [04:07<15:30, 11.78s/it]

#170

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"tail -c 8000 /workspace/runs/refined_long/train_seed42.log | rg -o \\\"\\\\{'loss'.*\\\" | tail -4; python - <<'PY'\\nimport json,glob\\nxs=[]\\nfor f in glob.glob('/workspace/runs/refined_long/capped_seed42/generations/*.json'): xs+=json.load(open(f))['generations']\\nprint('n',len(xs),'boxed',round(sum('\\\\\\\\boxed{' in x['completion'] for x in xs)/len(xs),3),'eos',round(sum('<|im_end|>' in x['completion'] for x in xs)/len(xs),3))\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000});\ntext(r.output);\n"
}

exec result

Script completed
Wall time 0.1 seconds
Output:
{'loss': -0.0013, 'grad_norm': 0.04742807894945145, 'learning_rate': 3.95e-06, 'on_policy_loss': -0.0013, 'epoch': 0.19}
n 168 boxed 0.542 eos 0.512

#171

narration

At step 20, the longer-rollout run still reaches boxed answers about 54% of the time despite a deliberately harder pool; its linear schedule is tracking the released paper run closely. I’m keeping this run unchanged through step 100 so the full evaluation measures the combined sampling/coverage method cleanly.

#172

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:61078,chars:\"\",yield_time_ms:30000,max_output_tokens:80});\ntext(r.output);\n"
}

exec result

Script running with cell ID 103
Wall time 11.0 seconds
Output:

#173

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "103",
  "yield_time_ms": 30000,
  "max_tokens": 80
}

wait result

Script completed
Wall time 14.9 seconds
Output:
Warning: truncated output (original token count: 107)
Total output lines: 6

Warning: truncated output (original token count: 1207)
Total output lines: 38

vLLM generation done - elapsed time: 4.75s, prompts: 4, total tokens: 4037, avg l…27 tokens truncated…44, avg length: 1536.0, speed: 1197.1 tok/s
vLLM generation done - elapsed time: 5.14s, prompts: 4, total tokens: 6144, avg length: 1536.0, speed: 1195.8 tok/s

#174

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:61078,chars:\"\",yield_time_ms:30000,max_output_tokens:80});\ntext(r.output);\n"
}

exec result

Script running with cell ID 104
Wall time 11.0 seconds
Output:

#175

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "104",
  "yield_time_ms": 30000,
  "max_tokens": 80
}

wait result

Script completed
Wall time 5.8 seconds
Output:
Warning: truncated output (original token count: 107)
Total output lines: 6

Warning: truncated output (original token count: 1049)
Total output lines: 37

vLLM generation done - elapsed time: 5.00s, prompts: 4, total tokens: 4491, avg l…27 tokens truncated…tion done - elapsed time: 5.13s, prompts: 4, total tokens: 6144, avg length: 1536.0, speed: 1198.6 tok/s

 29%|██▉       | 29/100 [05:42<14:05, 11.91s/it]