pivot judge audit: retry-forks-success/20261009-forks-success/olmo3

retry-forks-success/20261009-forks-success/olmo3/code.sha256

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retry-forks-success/20261009-forks-success/olmo3/code.tar.gz

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+oid sha256:669bede34550885e66df2803202bb30241d4b6caf4044adf469724432697e369
+size 87703

retry-forks-success/20261009-forks-success/olmo3/env.json

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+{
+  "host": "pivotopd-forks-success-olmo3-p7ms6-gq7hv",
+  "python": "3.12.15",
+  "mode": "full",
+  "siblings": 8,
+  "limit_games": 0,
+  "workers": 28,
+  "max_model_len": 8192,
+  "alfworld_data": "/dev/volume/.cache/alfworld",
+  "cpus": 124,
+  "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"
+}

retry-forks-success/20261009-forks-success/olmo3/fork_fidelity.json

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+{
+  "checked": 859,
+  "prompt_mismatch": 0,
+  "observation_mismatch": 0,
+  "examples": []
+}

retry-forks-success/20261009-forks-success/olmo3/fork_meta.json

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+{
+  "model": "allenai/Olmo-3-7B-Instruct",
+  "actor_sampling": {
+    "temperature": 1.0,
+    "top_p": 1.0,
+    "top_k": -1,
+    "max_tokens": 2048
+  },
+  "actor_thinking": "auto",
+  "actor_max_prompt": 2048,
+  "max_steps": 50,
+  "max_model_len": 8192,
+  "siblings": 8,
+  "games": 32,
+  "forks": 22,
+  "seed": 0,
+  "actor_code_commit": "bb75c529c860b6d9d71ca64e4acdb0aca2291816",
+  "seconds": 4915.3
+}

retry-forks-success/20261009-forks-success/olmo3/fork_plan.json

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+{
+  "prereg": {
+    "frozen_at": "2026-10-09T01:44:13+0000",
+    "games": [
+      "alfworld_olmo3_gigpo/step_0/t7/r0",
+      "alfworld_olmo3_gigpo/step_0/t8/r2",
+      "alfworld_olmo3_gigpo/step_0/t13/r2",
+      "alfworld_olmo3_gigpo/step_0/t15/r2",
+      "alfworld_olmo3_gigpo/step_0/t16/r3",
+      "alfworld_olmo3_gigpo/step_0/t17/r4",
+      "alfworld_olmo3_gigpo/step_0/t23/r6",
+      "alfworld_olmo3_gigpo/step_0/t24/r0",
+      "alfworld_olmo3_gigpo/step_0/t34/r7",
+      "alfworld_olmo3_gigpo/step_0/t45/r1",
+      "alfworld_olmo3_gigpo/step_0/t59/r3",
+      "alfworld_olmo3_gigpo/step_0/t67/r2",
+      "alfworld_olmo3_gigpo/step_0/t70/r1",
+      "alfworld_olmo3_gigpo/step_0/t71/r7",
+      "alfworld_olmo3_gigpo/step_0/t76/r6",
+      "alfworld_olmo3_gigpo/step_0/t77/r6",
+      "alfworld_olmo3_gigpo/step_0/t78/r0",
+      "alfworld_olmo3_gigpo/step_0/t86/r0",
+      "alfworld_olmo3_gigpo/step_0/t89/r6",
+      "alfworld_olmo3_gigpo/step_0/t95/r3",
+      "alfworld_olmo3_gigpo/step_0/t96/r6",
+      "alfworld_olmo3_gigpo/step_0/t97/r7",
+      "alfworld_olmo3_gigpo/step_0/t98/r7",
+      "alfworld_olmo3_gigpo/step_0/t100/r4",
+      "alfworld_olmo3_gigpo/step_0/t109/r3",
+      "alfworld_olmo3_gigpo/step_0/t112/r6",
+      "alfworld_olmo3_gigpo/step_0/t116/r1",
+      "alfworld_olmo3_gigpo/step_0/t117/r4",
+      "alfworld_olmo3_gigpo/step_0/t120/r2",
+      "alfworld_olmo3_gigpo/step_0/t121/r7",
+      "alfworld_olmo3_gigpo/step_0/t124/r7",
+      "alfworld_olmo3_gigpo/step_0/t127/r5"
+    ],
+    "forks": [
+      "t7_s4",
+      "t7_s21",
+      "t13_s18",
+      "t13_s21",
+      "t16_s2",
+      "t24_s4",
+      "t59_s2",
+      "t59_s3",
+      "t71_s5",
+      "t71_s6",
+      "t71_s15",
+      "t71_s16",
+      "t96_s4",
+      "t116_s6",
+      "t116_s21",
+      "t117_s3",
+      "t117_s15",
+      "t117_s17",
+      "t120_s6",
+      "t121_s11",
+      "t124_s8",
+      "t124_s15"
+    ],
+    "siblings_per_arm": 8,
+    "seed": 0,
+    "primary_endpoint": "mean over all forks of (success rate of B - success rate of A); 95% bootstrap resampling games (forks of one game stay together)",
+    "decision": {
+      "pass": "uplift >= 0.10 and lower bound > 0",
+      "stop": "upper bound < 0.10",
+      "otherwise": "inconclusive"
+    },
+    "validity_checks": [
+      "every reconstructed parent prompt equals the recorded A1 prompt_text",
+      "restart arm D success within +/-0.12 of the A1 success rate on the same games"
+    ],
+    "selection": "first answer only; every exact/articles-resolved suggested change; no oracle information",
+    "secondary": [
+      "B - A and F - A in turns used after the fork (a failure counts as the whole remaining budget)",
+      "share of forks whose siblings have mixed outcomes, per arm (GiGPO needs outcome contrast)",
+      "F - A (the advice itself, always followed)",
+      "B - F (what is lost when the hint is not followed)",
+      "per-game intent to treat (games without forks count as 0)",
+      "A - D and F - D",
+      "hint compliance",
+      "knowability strata",
+      "post hoc oracle class of the action (descriptive)"
+    ],
+    "parents": "successful"
+  },
+  "inputs": {
+    "bank.jsonl": "77139c9f2d013a226c894e4a22b54a33f479b54f04623739245ab9822b450eb0",
+    "judgments.jsonl": "ec347bc1f6a88ebc89c42b7a3ddb4bac4864d26301c170341e97c8b64b2c6e3d",
+    "oracle_labels.json": "15c4d96c38d7c454a18443b22273005663f4ed3b65eb3fada55f7c0a584b190f",
+    "a1/episodes.jsonl": "b80169bd81d998940536612d5411a95eae2694b4570ff02e1879fcfc91fbda36"
+  },
+  "games": [
+    {
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+      "task_index": 7,
+      "task_id": "pick_cool_then_place_in_recep-Potato-None-GarbageCan-2/trial_T20190908_101454_965083/game.tw-pddl",
+      "length": 26,
+      "a1_success_rate": 0.125,
+      "n_forks": 2,
+      "oracle_first_pivot": 11
+    },
+    {
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t8/r2",
+      "task_index": 8,
+      "task_id": "pick_and_place_simple-AlarmClock-None-Desk-307/trial_T20190907_072329_828593/game.tw-pddl",
+      "length": 47,
+      "a1_success_rate": 0.25,
+      "n_forks": 0,
+      "oracle_first_pivot": 8
+    },
+    {
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t13/r2",
+      "task_index": 13,
+      "task_id": "pick_two_obj_and_place-AlarmClock-None-SideTable-312/trial_T20190908_024701_173974/game.tw-pddl",
+      "length": 36,
+      "a1_success_rate": 0.125,
+      "n_forks": 2,
+      "oracle_first_pivot": null
+    },
+    {
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t15/r2",
+      "task_index": 15,
+      "task_id": "pick_cool_then_place_in_recep-Mug-None-CoffeeMachine-26/trial_T20190908_134655_569714/game.tw-pddl",
+      "length": 23,
+      "a1_success_rate": 0.375,
+      "n_forks": 0,
+      "oracle_first_pivot": 2
+    },
+    {
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t16/r3",
+      "task_index": 16,
+      "task_id": "pick_and_place_simple-Candle-None-Drawer-411/trial_T20190909_093542_770989/game.tw-pddl",
+      "length": 20,
+      "a1_success_rate": 0.625,
+      "n_forks": 1,
+      "oracle_first_pivot": 4
+    },
+    {
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t17/r4",
+      "task_index": 17,
+      "task_id": "pick_and_place_simple-Newspaper-None-Sofa-211/trial_T20190906_174949_956681/game.tw-pddl",
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+      "a1_success_rate": 0.25,
+      "n_forks": 0,
+      "oracle_first_pivot": 18
+    },
+    {
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t23/r6",
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+      "task_id": "pick_clean_then_place_in_recep-Apple-None-DiningTable-4/trial_T20190908_104413_450768/game.tw-pddl",
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+      "a1_success_rate": 0.125,
+      "n_forks": 0,
+      "oracle_first_pivot": null
+    },
+    {
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+      "task_id": "pick_and_place_simple-CellPhone-None-Safe-323/trial_T20190907_234526_733036/game.tw-pddl",
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+    },
+    {
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+      "task_id": "pick_and_place_simple-KeyChain-None-Desk-310/trial_T20190908_124631_281710/game.tw-pddl",
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+      "n_forks": 0,
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+    },
+    {
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+    {
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+      "task_id": "pick_and_place_simple-Pencil-None-GarbageCan-316/trial_T20190907_165803_704024/game.tw-pddl",
+      "length": 20,
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+      "n_forks": 0,
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+  "forks": [
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+      "fork_id": "t7_s4",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t7/r0",
+      "task_index": 7,
+      "turn": 4,
+      "action": "open cabinet 1",
+      "tier": "exact",
+      "committed": "hink>\n\n(action) open cabinet 1",
+      "order": 0,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t7_s21",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t7/r0",
+      "task_index": 7,
+      "turn": 21,
+      "action": "cool potato 1 with fridge 1",
+      "tier": "exact",
+      "committed": "on cool potato 1 with fridge 1",
+      "order": 3,
+      "knowability": "seen_by_turn"
+    },
+    {
+      "fork_id": "t13_s18",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t13/r2",
+      "task_index": 13,
+      "turn": 18,
+      "action": "examine desk 1",
+      "tier": "exact",
+      "committed": "examine alarmclock 2",
+      "order": 2,
+      "knowability": "seen_by_turn"
+    },
+    {
+      "fork_id": "t13_s21",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t13/r2",
+      "task_index": 13,
+      "turn": 21,
+      "action": "examine desk 1",
+      "tier": "exact",
+      "committed": "examine alarmclock 2",
+      "order": 3,
+      "knowability": "seen_by_turn"
+    },
+    {
+      "fork_id": "t16_s2",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t16/r3",
+      "task_index": 16,
+      "turn": 2,
+      "action": "look",
+      "tier": "exact",
+      "committed": "go to countertop 1",
+      "order": 0,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t24_s4",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t24/r0",
+      "task_index": 24,
+      "turn": 4,
+      "action": "inventory",
+      "tier": "exact",
+      "committed": "examine keychain 1",
+      "order": 1,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t59_s2",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t59/r3",
+      "task_index": 59,
+      "turn": 2,
+      "action": "look",
+      "tier": "exact",
+      "committed": "use desklamp 1",
+      "order": 0,
+      "knowability": "seen_by_turn"
+    },
+    {
+      "fork_id": "t59_s3",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t59/r3",
+      "task_index": 59,
+      "turn": 3,
+      "action": "take pencil 4 from desk 1",
+      "tier": "exact",
+      "committed": "examine desk 1",
+      "order": 1,
+      "knowability": "seen_by_turn"
+    },
+    {
+      "fork_id": "t71_s5",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t71/r7",
+      "task_index": 71,
+      "turn": 5,
+      "action": "examine armchair 1",
+      "tier": "exact",
+      "committed": "go to drawer 1",
+      "order": 0,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t71_s6",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t71/r7",
+      "task_index": 71,
+      "turn": 6,
+      "action": "go to sofa 1",
+      "tier": "exact",
+      "committed": "examine drawer 1",
+      "order": 1,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t71_s15",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t71/r7",
+      "task_index": 71,
+      "turn": 15,
+      "action": "open drawer 1",
+      "tier": "exact",
+      "committed": "examine drawer 1",
+      "order": 2,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t71_s16",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t71/r7",
+      "task_index": 71,
+      "turn": 16,
+      "action": "examine drawer 1",
+      "tier": "exact",
+      "committed": "open drawer 1",
+      "order": 3,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t96_s4",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t96/r6",
+      "task_index": 96,
+      "turn": 4,
+      "action": "go to countertop 1",
+      "tier": "exact",
+      "committed": "examine drawer 3",
+      "order": 1,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t116_s6",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t116/r1",
+      "task_index": 116,
+      "turn": 6,
+      "action": "go to countertop 1",
+      "tier": "exact",
+      "committed": "go to cabinet 1",
+      "order": 0,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t116_s21",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t116/r1",
+      "task_index": 116,
+      "turn": 21,
+      "action": "move lettuce 1 to countertop 1",
+      "tier": "exact",
+      "committed": "move lettuce 1 to countertop 2",
+      "order": 2,
+      "knowability": "seen_by_turn"
+    },
+    {
+      "fork_id": "t117_s3",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t117/r4",
+      "task_index": 117,
+      "turn": 3,
+      "action": "go to shelf 1",
+      "tier": "exact",
+      "committed": "look",
+      "order": 1,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t117_s15",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t117/r4",
+      "task_index": 117,
+      "turn": 15,
+      "action": "go to desk 1",
+      "tier": "exact",
+      "committed": "go to shelf 1",
+      "order": 2,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t117_s17",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t117/r4",
+      "task_index": 117,
+      "turn": 17,
+      "action": "go to desk 1",
+      "tier": "exact",
+      "committed": "go to drawer 1",
+      "order": 3,
+      "knowability": "seen_later"
+    },
+    {
+      "fork_id": "t120_s6",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t120/r2",
+      "task_index": 120,
+      "turn": 6,
+      "action": "take statue 1 from sidetable 1",
+      "tier": "exact",
+      "committed": "e 1 from sidetable 1 </action)",
+      "order": 0,
+      "knowability": "seen_by_turn"
+    },
+    {
+      "fork_id": "t121_s11",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t121/r7",
+      "task_index": 121,
+      "turn": 11,
+      "action": "take tomato 1 from fridge 1",
+      "tier": "exact",
+      "committed": "ato 1 from fridge 1\"></action>",
+      "order": 1,
+      "knowability": "seen_by_turn"
+    },
+    {
+      "fork_id": "t124_s8",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t124/r7",
+      "task_index": 124,
+      "turn": 8,
+      "action": "take bread 4 from fridge 1",
+      "tier": "exact",
+      "committed": "on) take bread 4 from fridge 1",
+      "order": 0,
+      "knowability": "seen_by_turn"
+    },
+    {
+      "fork_id": "t124_s15",
+      "traj_id": "alfworld_olmo3_gigpo/step_0/t124/r7",
+      "task_index": 124,
+      "turn": 15,
+      "action": "go to microwave 1",
+      "tier": "exact",
+      "committed": "go to countertop 1",
+      "order": 2,
+      "knowability": "seen_by_turn"
+    }
+  ]
+}

retry-forks-success/20261009-forks-success/olmo3/fork_report.md

@@ -0,0 +1,28 @@
+## Guided retry at every suggested change
+
+Games: 32 (12 with forks); forks: 22
+
+| arm | success |
+|---|---|
+| A plain retry at the fork | 51.1 |
+| B hinted judge action | 61.4 |
+| F forced judge action | 61.9 |
+| D restart (per game) | 32.4 |
+
+| contrast (game-clustered) | mean | 95% CI | forks | games |
+|---|---|---|---|---|
+| B-A | 10.2 | [0.7, 19.5] | 22 | 12 |
+| F-A | 10.8 | [-5.1, 26.8] | 22 | 12 |
+| B-F | -0.6 | [-10.4, 11.0] | 22 | 12 |
+| A-D | -0.6 | [-19.8, 25.0] | 22 | 12 |
+| F-D | 10.2 | [-6.5, 31.6] | 22 | 12 |
+| B-A per game, intent to treat | 3.4 | [0.0, 7.4] | - | 32 |
+| F-A per game, intent to treat | 3.2 | [-2.6, 9.6] | - | 32 |
+
+Decision (pre-registered, B-A over forks >= 10.0 with CI above 0): **pass**
+Validity: restart 32.4 vs A1 30.5 (band +/-12.0): OK
+Hint followed 84.7 (n=176); plain retry repeats the parent's action 21.6
+B-A by target visibility: {'seen_by_turn': ('8.8', 10), 'seen_later': ('11.5', 12)}
+Turns used after the fork (failure = whole remaining budget): A 26.7, B 22.8, F 23.5; B-A -3.9 [-6.3, -1.1], F-A -3.2 [-7.3, +0.7]
+Forks whose siblings have mixed outcomes: A 68.2, B 59.1, F 68.2
+Ended by: {'won': 390, 'max_steps': 394}

retry-forks-success/20261009-forks-success/olmo3/fork_run.log

@@ -0,0 +1,95 @@
+[pivot_judge 01:44:38] fidelity: 859 recorded prompts checked, 0 prompt and 0 observation mismatches
+INFO 10-09 01:44:39 [__init__.py:216] Automatically detected platform cuda.
+INFO 10-09 01:44:42 [utils.py:233] non-default args: {'dtype': 'bfloat16', 'seed': 0, 'max_model_len': 8192, 'enable_prefix_caching': True, 'gpu_memory_utilization': 0.85, 'disable_log_stats': True, 'model': 'allenai/Olmo-3-7B-Instruct'}
+INFO 10-09 01:44:55 [model.py:547] Resolved architecture: Olmo2ForCausalLM
+`torch_dtype` is deprecated! Use `dtype` instead!
+INFO 10-09 01:44:55 [model.py:1510] Using max model len 8192
+INFO 10-09 01:44:55 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=8192.
+(EngineCore_DP0 pid=10618) INFO 10-09 01:44:56 [core.py:644] Waiting for init message from front-end.
+(EngineCore_DP0 pid=10618) INFO 10-09 01:44:56 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='allenai/Olmo-3-7B-Instruct', speculative_config=None, tokenizer='allenai/Olmo-3-7B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=8192, 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=allenai/Olmo-3-7B-Instruct, 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=10618) INFO 10-09 01:44:57 [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=10618) WARNING 10-09 01:44:58 [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=10618) INFO 10-09 01:44:58 [gpu_model_runner.py:2602] Starting to load model allenai/Olmo-3-7B-Instruct...
+(EngineCore_DP0 pid=10618) INFO 10-09 01:44:58 [gpu_model_runner.py:2634] Loading model from scratch...
+(EngineCore_DP0 pid=10618) INFO 10-09 01:44:58 [cuda.py:366] Using Flash Attention backend on V1 engine.
+(EngineCore_DP0 pid=10618) INFO 10-09 01:44:59 [weight_utils.py:392] Using model weights format ['*.safetensors']
+(EngineCore_DP0 pid=10618) 
+(EngineCore_DP0 pid=10618) 
+(EngineCore_DP0 pid=10618) 
+(EngineCore_DP0 pid=10618) 
+(EngineCore_DP0 pid=10618) 
+(EngineCore_DP0 pid=10618) 
+(EngineCore_DP0 pid=10618) INFO 10-09 01:45:50 [default_loader.py:267] Loading weights took 50.73 seconds
+(EngineCore_DP0 pid=10618) INFO 10-09 01:45:50 [gpu_model_runner.py:2653] Model loading took 13.6261 GiB and 51.605575 seconds
+(EngineCore_DP0 pid=10618) INFO 10-09 01:45:59 [backends.py:548] Using cache directory: /root/.cache/vllm/torch_compile_cache/ef464c84a3/rank_0_0/backbone for vLLM's torch.compile
+(EngineCore_DP0 pid=10618) INFO 10-09 01:45:59 [backends.py:559] Dynamo bytecode transform time: 8.36 s
+(EngineCore_DP0 pid=10618) INFO 10-09 01:46:04 [backends.py:197] Cache the graph for dynamic shape for later use
+(EngineCore_DP0 pid=10618) INFO 10-09 01:46:34 [backends.py:218] Compiling a graph for dynamic shape takes 33.74 s
+(EngineCore_DP0 pid=10618) INFO 10-09 01:46:45 [monitor.py:34] torch.compile takes 42.10 s in total
+(EngineCore_DP0 pid=10618) INFO 10-09 01:46:47 [gpu_worker.py:298] Available KV cache memory: 52.72 GiB
+(EngineCore_DP0 pid=10618) INFO 10-09 01:46:47 [kv_cache_utils.py:1087] GPU KV cache size: 107,952 tokens
+(EngineCore_DP0 pid=10618) INFO 10-09 01:46:47 [kv_cache_utils.py:1091] Maximum concurrency for 8,192 tokens per request: 13.16x
+(EngineCore_DP0 pid=10618) 
+(EngineCore_DP0 pid=10618) 
+(EngineCore_DP0 pid=10618) INFO 10-09 01:46:55 [gpu_model_runner.py:3480] Graph capturing finished in 8 secs, took 0.71 GiB
+(EngineCore_DP0 pid=10618) INFO 10-09 01:46:55 [core.py:210] init engine (profile, create kv cache, warmup model) took 64.56 seconds
+INFO 10-09 01:46:56 [llm.py:306] Supported_tasks: ['generate']
+WARNING 10-09 01:46:56 [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 01:48:14] rollouts: 784 started (22 forks x 3 arms + 32 restarts, x8)
+[pivot_judge 01:49:40] [retry] round 1: 776 generated in 85s; 769 still active; 15 won so far
+[pivot_judge 01:51:36] [retry] round 2: 769 generated in 115s; 761 still active; 23 won so far
+[pivot_judge 01:53:43] [retry] round 3: 761 generated in 126s; 739 still active; 45 won so far
+[pivot_judge 01:55:48] [retry] round 4: 739 generated in 124s; 702 still active; 82 won so far
+[pivot_judge 01:57:52] [retry] round 5: 702 generated in 123s; 686 still active; 98 won so far
+[pivot_judge 01:59:55] [retry] round 6: 686 generated in 122s; 668 still active; 116 won so far
+[pivot_judge 02:02:05] [retry] round 7: 668 generated in 130s; 654 still active; 130 won so far
+[pivot_judge 02:04:12] [retry] round 8: 654 generated in 126s; 641 still active; 143 won so far
+[pivot_judge 02:06:19] [retry] round 9: 641 generated in 126s; 626 still active; 158 won so far
+[pivot_judge 02:08:20] [retry] round 10: 626 generated in 120s; 609 still active; 175 won so far
+[pivot_judge 02:10:22] [retry] round 11: 609 generated in 121s; 596 still active; 188 won so far
+[pivot_judge 02:12:16] [retry] round 12: 596 generated in 113s; 583 still active; 201 won so far
+[pivot_judge 02:14:12] [retry] round 13: 583 generated in 116s; 569 still active; 215 won so far
+[pivot_judge 02:16:03] [retry] round 14: 569 generated in 110s; 563 still active; 221 won so far
+[pivot_judge 02:17:58] [retry] round 15: 563 generated in 115s; 554 still active; 230 won so far
+[pivot_judge 02:19:54] [retry] round 16: 554 generated in 115s; 542 still active; 242 won so far
+[pivot_judge 02:21:47] [retry] round 17: 542 generated in 113s; 534 still active; 250 won so far
+[pivot_judge 02:23:41] [retry] round 18: 534 generated in 113s; 514 still active; 270 won so far
+[pivot_judge 02:25:34] [retry] round 19: 514 generated in 113s; 508 still active; 276 won so far
+[pivot_judge 02:27:18] [retry] round 20: 508 generated in 103s; 502 still active; 282 won so far
+[pivot_judge 02:29:06] [retry] round 21: 502 generated in 107s; 494 still active; 290 won so far
+[pivot_judge 02:30:46] [retry] round 22: 494 generated in 100s; 487 still active; 297 won so far
+[pivot_judge 02:32:25] [retry] round 23: 487 generated in 98s; 481 still active; 303 won so far
+[pivot_judge 02:34:07] [retry] round 24: 481 generated in 102s; 474 still active; 310 won so far
+[pivot_judge 02:35:40] [retry] round 25: 474 generated in 92s; 466 still active; 318 won so far
+[pivot_judge 02:37:13] [retry] round 26: 466 generated in 93s; 463 still active; 321 won so far
+[pivot_judge 02:38:48] [retry] round 27: 463 generated in 94s; 458 still active; 326 won so far
+[pivot_judge 02:40:31] [retry] round 28: 458 generated in 103s; 440 still active; 332 won so far
+[pivot_judge 02:42:05] [retry] round 29: 440 generated in 94s; 417 still active; 335 won so far
+[pivot_judge 02:43:37] [retry] round 30: 417 generated in 91s; 413 still active; 339 won so far
+[pivot_judge 02:45:11] [retry] round 31: 413 generated in 93s; 400 still active; 345 won so far
+[pivot_judge 02:46:41] [retry] round 32: 400 generated in 89s; 388 still active; 351 won so far
+[pivot_judge 02:48:08] [retry] round 33: 388 generated in 86s; 374 still active; 357 won so far
+[pivot_judge 02:49:28] [retry] round 34: 374 generated in 79s; 360 still active; 362 won so far
+[pivot_judge 02:50:48] [retry] round 35: 360 generated in 80s; 332 still active; 365 won so far
+[pivot_judge 02:52:00] [retry] round 36: 332 generated in 72s; 330 still active; 367 won so far
+[pivot_judge 02:53:16] [retry] round 37: 330 generated in 76s; 329 still active; 368 won so far
+[pivot_judge 02:54:31] [retry] round 38: 329 generated in 74s; 317 still active; 372 won so far
+[pivot_judge 02:55:47] [retry] round 39: 317 generated in 76s; 298 still active; 375 won so far
+[pivot_judge 02:56:58] [retry] round 40: 298 generated in 70s; 293 still active; 380 won so far
+[pivot_judge 02:58:01] [retry] round 41: 293 generated in 63s; 286 still active; 383 won so far
+[pivot_judge 02:59:12] [retry] round 42: 286 generated in 70s; 275 still active; 383 won so far
+[pivot_judge 03:00:20] [retry] round 43: 275 generated in 68s; 263 still active; 385 won so far
+[pivot_judge 03:01:22] [retry] round 44: 263 generated in 62s; 237 still active; 387 won so far
+[pivot_judge 03:02:13] [retry] round 45: 237 generated in 50s; 222 still active; 388 won so far
+[pivot_judge 03:03:10] [retry] round 46: 222 generated in 57s; 188 still active; 389 won so far
+[pivot_judge 03:03:57] [retry] round 47: 188 generated in 47s; 178 still active; 390 won so far
+[pivot_judge 03:04:40] [retry] round 48: 178 generated in 42s; 173 still active; 390 won so far
+[pivot_judge 03:05:26] [retry] round 49: 173 generated in 46s; 173 still active; 390 won so far
+[pivot_judge 03:06:01] [retry] round 50: 173 generated in 35s; 0 still active; 390 won so far
+[pivot_judge 03:06:09] fork run done in 4915.3 s

retry-forks-success/20261009-forks-success/olmo3/fork_summary.json

@@ -0,0 +1,251 @@
+{
+  "games": 32,
+  "games_with_forks": 12,
+  "forks": 22,
+  "complete_siblings": true,
+  "arms": {
+    "A": 0.5113636363636364,
+    "B": 0.6136363636363636,
+    "F": 0.6193181818181818,
+    "D": 0.32421875
+  },
+  "contrasts": {
+    "B-A": {
+      "n": 22,
+      "games": 12,
+      "mean": 0.10227272727272728,
+      "ci": [
+        0.006944444444444444,
+        0.195
+      ]
+    },
+    "F-A": {
+      "n": 22,
+      "games": 12,
+      "mean": 0.10795454545454546,
+      "ci": [
+        -0.05113636363636364,
+        0.26785714285714285
+      ]
+    },
+    "B-F": {
+      "n": 22,
+      "games": 12,
+      "mean": -0.005681818181818182,
+      "ci": [
+        -0.10416666666666667,
+        0.11029411764705882
+      ]
+    },
+    "A-D": {
+      "n": 22,
+      "games": 12,
+      "mean": -0.005681818181818182,
+      "ci": [
+        -0.19791666666666666,
+        0.25
+      ]
+    },
+    "F-D": {
+      "n": 22,
+      "games": 12,
+      "mean": 0.10227272727272728,
+      "ci": [
+        -0.065,
+        0.3161764705882353
+      ]
+    }
+  },
+  "itt": {
+    "B-A": {
+      "games": 32,
+      "mean": 0.033528645833333336,
+      "ci": [
+        0.0,
+        0.07356770833333333
+      ]
+    },
+    "F-A": {
+      "games": 32,
+      "mean": 0.0322265625,
+      "ci": [
+        -0.0263671875,
+        0.095703125
+      ]
+    }
+  },
+  "decision": {
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+      "F": 1.0
+    }
+  }
+}

retry-forks-success/20261009-forks-success/olmo3/source.json

@@ -0,0 +1,10 @@
+{
+  "a1_repo": "wckwan/A1-Group-Rollouts",
+  "run": "alfworld_olmo3_gigpo",
+  "step": 0,
+  "sha256": {
+    "rows.jsonl": "9722b116edbce032ef2804dd219e7ca2ff7a57050855fb8fc5a486df2d56d9c5",
+    "episodes.jsonl": "b80169bd81d998940536612d5411a95eae2694b4570ff02e1879fcfc91fbda36",
+    "meta.json": "74d41d683131188676e31fcee16a67c49c3b5ecc68998561587eea3d9a683778"
+  }
+}