pivot judge audit: results/20261006-base-r1/qwen3

results/20261006-base-r1/qwen3/code.sha256

@@ -0,0 +1 @@
+0465b784eabada9f81096947d877bc581e341143b9e48b8fe1b167cf5ed3a9e1  /dev/volume/outputs/pivot_judge/20261006-base-r1/qwen3/code.tar.gz

results/20261006-base-r1/qwen3/code.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0465b784eabada9f81096947d877bc581e341143b9e48b8fe1b167cf5ed3a9e1
+size 35751

results/20261006-base-r1/qwen3/env.json

@@ -0,0 +1,17 @@
+{
+  "host": "pivotopd-judge-qwen3-q7x2s-48lc8",
+  "python": "3.12.15",
+  "mode": "full",
+  "samples": 5,
+  "max_tokens": 16384,
+  "max_model_len": 32768,
+  "alfworld_data": "/dev/volume/.cache/alfworld",
+  "vllm": "0.11.0",
+  "torch": "2.8.0+cu128",
+  "transformers": "4.57.1",
+  "textworld": "1.7.0",
+  "alfworld": "present",
+  "huggingface_hub": "0.36.2",
+  "fast_downward": "present",
+  "gpu": "NVIDIA A100-SXM4-80GB, 81920 MiB"
+}

results/20261006-base-r1/qwen3/judge.log

@@ -0,0 +1,49 @@
+INFO 10-06 20:32:01 [__init__.py:216] Automatically detected platform cuda.
+INFO 10-06 20:32:07 [utils.py:233] non-default args: {'dtype': 'bfloat16', 'seed': 0, 'max_model_len': 32768, 'enable_prefix_caching': True, 'gpu_memory_utilization': 0.85, 'disable_log_stats': True, 'model': 'Qwen/Qwen3-8B'}
+INFO 10-06 20:32:22 [model.py:547] Resolved architecture: Qwen3ForCausalLM
+`torch_dtype` is deprecated! Use `dtype` instead!
+INFO 10-06 20:32:22 [model.py:1510] Using max model len 32768
+INFO 10-06 20:32:23 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=8192.
+(EngineCore_DP0 pid=12033) INFO 10-06 20:32:25 [core.py:644] Waiting for init message from front-end.
+(EngineCore_DP0 pid=12033) INFO 10-06 20:32:25 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='Qwen/Qwen3-8B', speculative_config=None, tokenizer='Qwen/Qwen3-8B', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=0, served_model_name=Qwen/Qwen3-8B, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={"level":3,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention","vllm.sparse_attn_indexer"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":[2,1],"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":512,"local_cache_dir":null}
+[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
+(EngineCore_DP0 pid=12033) INFO 10-06 20:32:27 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
+(EngineCore_DP0 pid=12033) WARNING 10-06 20:32:27 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
+(EngineCore_DP0 pid=12033) INFO 10-06 20:32:28 [gpu_model_runner.py:2602] Starting to load model Qwen/Qwen3-8B...
+(EngineCore_DP0 pid=12033) INFO 10-06 20:32:28 [gpu_model_runner.py:2634] Loading model from scratch...
+(EngineCore_DP0 pid=12033) INFO 10-06 20:32:28 [cuda.py:366] Using Flash Attention backend on V1 engine.
+(EngineCore_DP0 pid=12033) INFO 10-06 20:32:29 [weight_utils.py:392] Using model weights format ['*.safetensors']
+(EngineCore_DP0 pid=12033) INFO 10-06 20:32:31 [weight_utils.py:413] Time spent downloading weights for Qwen/Qwen3-8B: 1.898045 seconds
+(EngineCore_DP0 pid=12033) 
+(EngineCore_DP0 pid=12033) 
+(EngineCore_DP0 pid=12033) 
+(EngineCore_DP0 pid=12033) 
+(EngineCore_DP0 pid=12033) 
+(EngineCore_DP0 pid=12033) 
+(EngineCore_DP0 pid=12033) 
+(EngineCore_DP0 pid=12033) 
+(EngineCore_DP0 pid=12033) INFO 10-06 20:33:33 [default_loader.py:267] Loading weights took 62.52 seconds
+(EngineCore_DP0 pid=12033) INFO 10-06 20:33:34 [gpu_model_runner.py:2653] Model loading took 15.2683 GiB and 65.203506 seconds
+(EngineCore_DP0 pid=12033) INFO 10-06 20:33:47 [backends.py:548] Using cache directory: /root/.cache/vllm/torch_compile_cache/1a09add8ab/rank_0_0/backbone for vLLM's torch.compile
+(EngineCore_DP0 pid=12033) INFO 10-06 20:33:47 [backends.py:559] Dynamo bytecode transform time: 12.85 s
+(EngineCore_DP0 pid=12033) INFO 10-06 20:33:57 [backends.py:197] Cache the graph for dynamic shape for later use
+(EngineCore_DP0 pid=12033) INFO 10-06 20:34:39 [backends.py:218] Compiling a graph for dynamic shape takes 49.57 s
+(EngineCore_DP0 pid=12033) INFO 10-06 20:34:56 [monitor.py:34] torch.compile takes 62.42 s in total
+(EngineCore_DP0 pid=12033) INFO 10-06 20:34:57 [gpu_worker.py:298] Available KV cache memory: 50.60 GiB
+(EngineCore_DP0 pid=12033) INFO 10-06 20:34:57 [kv_cache_utils.py:1087] GPU KV cache size: 368,480 tokens
+(EngineCore_DP0 pid=12033) INFO 10-06 20:34:57 [kv_cache_utils.py:1091] Maximum concurrency for 32,768 tokens per request: 11.25x
+(EngineCore_DP0 pid=12033) 
+(EngineCore_DP0 pid=12033) 
+(EngineCore_DP0 pid=12033) INFO 10-06 20:35:09 [gpu_model_runner.py:3480] Graph capturing finished in 11 secs, took 0.85 GiB
+(EngineCore_DP0 pid=12033) INFO 10-06 20:35:09 [core.py:210] init engine (profile, create kv cache, warmup model) took 94.61 seconds
+INFO 10-06 20:35:11 [llm.py:306] Supported_tasks: ['generate']
+WARNING 10-06 20:35:11 [model.py:1389] Default sampling parameters have been overridden by the model's Hugging Face generation config recommended from the model creator. If this is not intended, please relaunch vLLM instance with `--generation-config vllm`.
+[pivot_judge 20:35:11] [judge] 130 prompts x 5 samples; sampling {'temperature': 0.6, 'top_p': 0.95, 'top_k': 20, 'min_p': 0.0, 'repetition_penalty': 1.0}; max prompt 4100 tokens
+
+
+[pivot_judge 20:46:49] [judge] done in 884.0 s; generated 1118995 tokens

results/20261006-base-r1/qwen3/judge_meta.json

@@ -0,0 +1,21 @@
+{
+  "model": "Qwen/Qwen3-8B",
+  "samples": 5,
+  "max_tokens": 16384,
+  "max_model_len": 32768,
+  "seed": 0,
+  "max_lessons": 5,
+  "enable_thinking": true,
+  "sampling": {
+    "temperature": 0.6,
+    "top_p": 0.95,
+    "top_k": 20,
+    "min_p": 0.0,
+    "repetition_penalty": 1.0
+  },
+  "n_prompts": 130,
+  "prompt_tokens_total": 292977,
+  "prompt_tokens_max": 4100,
+  "generated_tokens_total": 1118995,
+  "seconds": 884.0
+}

results/20261006-base-r1/qwen3/oracle_actions.log

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+[pivot_judge 21:37:08] [oracle] 1/129 done (alfworld_qwen3_gigpo__step_0__t16__r3)
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+[pivot_judge 21:50:07] actions: 129/129 trajectories evaluated

results/20261006-base-r1/qwen3/oracle_label.log

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+[pivot_judge 20:49:08] [oracle] 126/130 done (alfworld_qwen3_gigpo__step_0__t103__r3)
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+[pivot_judge 20:58:08] [oracle] 128/130 done (alfworld_qwen3_gigpo__step_0__t121__r1)
+[pivot_judge 21:07:38] [oracle] 129/130 done (alfworld_qwen3_gigpo__step_0__t87__r5)
+[pivot_judge 21:36:48] [oracle] 130/130 TIMEOUT (alfworld_qwen3_gigpo__step_0__t125__r1)
+[pivot_judge 21:37:01] labels: 129/130 ok; replay mismatches 0; with a pivot 49 failed / 10 successful; won_final disagreements 0

results/20261006-base-r1/qwen3/report.md

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+## Qwen/Qwen3-8B judging its own A1 step_0 rollouts (full)
+
+Coverage: {'bank': 130, 'oracle_failed': 1, 'judged': 130, 'failed_with_pivot': 49, 'failed_without_pivot': 48, 'success': 32}
+
+| metric (failed trajectories with an oracle pivot) | value |
+|---|---|
+| trajectories | 49 |
+| +/-1 accuracy, any detected turn (Table S.1 metric) | 46.9 [36.7, 57.6] |
+| matched random baseline | 16.3 [14.8, 17.8] |
+| gain over random | 30.6 [20.4, 41.1] |
+| earliest detected turn within +/-1 (single pick) | 31.4 [22.0, 40.8] |
+| single-pick random baseline | 6.0 |
+| same metric, lenient block parser (escaped quotes, missing '<' or closing tag) | 46.9 vs random 16.3; parsed 99.6 |
+| exact first pivot detected | 30.6 |
+| any oracle pivot within +/-1 | 66.5 |
+| replies parsed | 99.6 (json 99.6, truncated 0.4) |
+| replies flagging >=1 turn | 97.1; mean detected 2.89, mean named 3.31 |
+| mean relative position: earliest detected / first oracle pivot | 0.20 / 0.26 |
+
+- failed_without_pivot: n=48, replies flagging >=1 turn 97.9, parsed 100.0
+- success: n=32, replies flagging >=1 turn 50.0, parsed 100.0
+
+Named-action resolution tiers: {'unresolved': 886, 'exact': 1266, 'overlap': 70}
+Oracle class, all named actions: {'neutral': 1537, 'optimal': 598, 'pivotal': 87}
+Oracle class by resolution (unresolved = not an admissible command): {'admissible': {'neutral': 651, 'optimal': 598, 'pivotal': 87}, 'unresolved': {'neutral': 886}}
+Oracle class, detected pivotal turns (main panel) by knowability: {'never_seen': {'neutral': 196, 'optimal': 4, 'pivotal': 1}, 'all': {'neutral': 595, 'optimal': 64, 'pivotal': 50}, 'seen_by_turn': {'neutral': 377, 'pivotal': 49, 'optimal': 58}, 'seen_later': {'optimal': 2, 'neutral': 22}}
+Committed action at those turns: {'not_pivotal': 557, 'pivotal': 152}
+
+By task type (main metric): look_at_obj_in_light 30.0 (n=2), pick_and_place_simple 60.0 (n=2), pick_clean_then_place_in_recep 54.0 (n=10), pick_cool_then_place_in_recep 40.0 (n=6), pick_heat_then_place_in_recep 58.8 (n=17), pick_two_obj_and_place 28.3 (n=12)
+By target visibility at the first oracle pivot (main metric vs matched random): never_seen 73.3 vs 18.9 (n=12), seen_by_turn 38.1 vs 15.0 (n=31), seen_later 40.0 vs 17.7 (n=6)

results/20261006-base-r1/qwen3/source.json

@@ -0,0 +1,10 @@
+{
+  "a1_repo": "wckwan/A1-Group-Rollouts",
+  "run": "alfworld_qwen3_gigpo",
+  "step": 0,
+  "sha256": {
+    "rows.jsonl": "c96606144753d6d3861783a19b3bf13259a8d5a07e5c9423a0d6a2e90909cc6d",
+    "episodes.jsonl": "ec5f152741c206039f0da24f7f01c86b97499cc725f37e9d513dd27aa6e42825",
+    "meta.json": "76976ee9dd78f5b3f61293bc8cc14e78405b489f5ce6c6a1440321532067f105"
+  }
+}

results/20261006-base-r1/qwen3/summary.json

@@ -0,0 +1,555 @@
+{
+  "coverage": {
+    "bank": 130,
+    "oracle_failed": 1,
+    "judged": 130,
+    "failed_with_pivot": 49,
+    "failed_without_pivot": 48,
+    "success": 32
+  },
+  "failed_with_pivot": {
+    "n": 49,
+    "parse_ok": 0.9959183673469387,
+    "json_ok": 0.9959183673469387,
+    "truncated": 0.004081632653061225,
+    "n_named": 3.310204081632653,
+    "n_detected": 2.8938775510204082,
+    "flagged": 0.9714285714285714,
+    "hit_first": 0.46938775510204084,
+    "random_first": 0.16307330279050397,
+    "exact_first": 0.30612244897959184,
+    "earliest_hit_first": 0.3142857142857143,
+    "hit_any": 0.6653061224489796,
+    "earliest_rel_pos": 0.20333333333333334,
+    "first_pivot_rel_pos": 0.2595918367346939,
+    "single_pick_random": 0.05959183673469388,
+    "hit_first_ci": [
+      0.3673469387755102,
+      0.5755102040816327
+    ],
+    "random_first_ci": [
+      0.1481214077467722,
+      0.1777909204498126
+    ],
+    "earliest_hit_first_ci": [
+      0.22040816326530613,
+      0.40816326530612246
+    ],
+    "flagged_ci": [
+      0.946938775510204,
+      0.9918367346938776
+    ],
+    "gain_over_random": 0.30631445231153687,
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