[ { "id": "task01-01-seed0-formal", "task_key": "task01/01", "family": "task01", "slot": "01", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 5496, "success": false, "termination": "stopped" }, "steps": 5496, "simulation_time_s": 274.8, "wall_time_s": 1267.271401, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Place the mayonnaise and mustard from the counter to the top shelf of the fridge. If the existing items in the fridge are on the top shelf, move them to other shelves.", "instruction": "Place the specified condiments from the counter on the top shelf of the fridge. Move any existing top-shelf items to other shelves. Release the items and move the gripper clear of the stored items.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9875774826559943, "cache_reported_input_tokens": 7077229, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 7077229, "cached_input_tokens": 6989312, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 7077229, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 6989312, "known_input_tokens": 7077229, "known_output_tokens": 20496, "known_reasoning_output_tokens": 5873, "output_tokens": 20496, "reasoning_output_tokens": 5873, "reasoning_reported_output_tokens": 20496, "reported_responses": { "cache_reported_input_tokens": 140, "cache_write_input_tokens": 140, "cache_write_reported_input_tokens": 140, "cached_input_tokens": 140, "input_tokens": 140, "output_tokens": 140, "reasoning_output_tokens": 140, "reasoning_reported_output_tokens": 140 }, "response_count": 140, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 87917, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 139, "model_tool_calls_by_name": { "exec": 139 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 2749, "published_frames": 2829, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 2748, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 70.725, "sha256": "8434dd4ce662dfe2fcb5079ea977c7342eb82293dc072ec07462c503278eca9a", "source_sha256": { "third_person.mp4": "138d4f7303594c610111e9bdb46196eab0fcfda826baece5d19e894ddec15830", "wrist.mp4": "306f147d313639d1337cffd8802420b5509f903974e31d4757a70a6f262dfbed" }, "all_frames_compared": 2749, "minimum_frame_psnr_db": 40.83108475387529, "maximum_frame_rgb_mae": 1.445607304573059, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 2749, "captured_samples": 2749, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2749, "end_time_s": 274.8000000000282, "error": null, "experimental": true, "fps": 10, "received_samples": 2749, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 5,496 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task01-01-load-condiments-in-fridge-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 1, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, "session_original_sha256": "00f8edb58d15a1023f4ee4a053e44fb4ee631da2b2a0fb2005eecbfac954309d", "protocol_sha256": "a080e2d2fe0139ffe12d237f92d7ed6874269c53d0239657accc8b22d9ea3c9f" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robocasa-control.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/01/seed-0/resources/memos/robocasa-control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 302, "observed_images": 84, "tool_errors": 5 }, "selected_for_formal_metrics": true }, { "id": "task01-02-seed0-formal", "task_key": "task01/02", "family": "task01", "slot": "02", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 5903, "success": false, "termination": "stopped" }, "steps": 5903, "simulation_time_s": 295.15, "wall_time_s": 1211.904863, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Remove the mango from the bowl and place it on the small plate. Then place the bowl with only the steak in the microwave, close the door, and press the start button to microwave the steak.", "instruction": "Remove the specified fruit from the bowl and place it on the small plate. Then place the bowl with only the specified meat in the microwave, close the door, and press the start button to microwave the meat. Release the bowl and move the gripper clear of it.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9810887797632594, "cache_reported_input_tokens": 4438106, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 4438106, "cached_input_tokens": 4354176, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 4438106, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 4354176, "known_input_tokens": 4438106, "known_output_tokens": 22048, "known_reasoning_output_tokens": 9003, "output_tokens": 22048, "reasoning_output_tokens": 9003, "reasoning_reported_output_tokens": 22048, "reported_responses": { "cache_reported_input_tokens": 86, "cache_write_input_tokens": 86, "cache_write_reported_input_tokens": 86, "cached_input_tokens": 86, "input_tokens": 86, "output_tokens": 86, "reasoning_output_tokens": 86, "reasoning_reported_output_tokens": 86 }, "response_count": 86, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 83930, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 85, "model_tool_calls_by_name": { "exec": 85 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 2952, "published_frames": 3032, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 2951, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 75.8, "sha256": "3352ee6d3aabae0bc0d6c4223dee347061275900c92991eaccd5a64b315bdb44", "source_sha256": { "third_person.mp4": "11b07ca658ef9a326d2cb29da8ed73e0cf6f147fb9359b8cad8c1cfbc8d21564", "wrist.mp4": "24166f4da1fb0dbf3f46cc6c6745846af06bdf94c9738711c8dc54a27b25f736" }, "all_frames_compared": 2952, "minimum_frame_psnr_db": 40.21783018038982, "maximum_frame_rgb_mae": 1.5107555389404297, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 2953, "captured_samples": 2953, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2952, "end_time_s": 295.15000000003283, "error": null, "experimental": true, "fps": 10, "received_samples": 2953, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 5,903 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task01-02-filter-microwavable-item-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 2, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, "session_original_sha256": "748dc4e07c451e276bc70229783e8154ae17c84f3b56b71ea1ddf58ec0c27f75", "protocol_sha256": "1574aac678202802d3a7f391e140c19708280b6bbc85fa11f3d59e948633a852" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/resources/tools/control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robocasa.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/02/seed-0/resources/memos/robocasa.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 189, "observed_images": 119, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task01-03-seed0-formal", "task_key": "task01/03", "family": "task01", "slot": "03", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 5053, "success": false, "termination": "stopped" }, "steps": 5053, "simulation_time_s": 252.65, "wall_time_s": 1749.701956, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Place two dumplings into each of the tupperware containers and then place the containers in the fridge.", "instruction": "Place two dumplings into each of the tupperware containers and then place both containers on a shelf in the fridge. Release the dumplings and containers and move the gripper clear of them.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9899699443798293, "cache_reported_input_tokens": 11115392, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 11115392, "cached_input_tokens": 11003904, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 11115392, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 11003904, "known_input_tokens": 11115392, "known_output_tokens": 29598, "known_reasoning_output_tokens": 14166, "output_tokens": 29598, "reasoning_output_tokens": 14166, "reasoning_reported_output_tokens": 29598, "reported_responses": { "cache_reported_input_tokens": 171, "cache_write_input_tokens": 171, "cache_write_reported_input_tokens": 171, "cached_input_tokens": 171, "input_tokens": 171, "output_tokens": 171, "reasoning_output_tokens": 171, "reasoning_reported_output_tokens": 171 }, "response_count": 171, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 111488, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 170, "model_tool_calls_by_name": { "exec": 170 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 2527, "published_frames": 2607, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 2526, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 65.175, "sha256": "bb370aeec770a0779101489ca54c642e59043b1154a77944f9c16128c0ccb1a6", "source_sha256": { "third_person.mp4": "f2edd772f07b63d73e819f7f4ebf4a73c6ae596ea414f7558918a05066896ceb", "wrist.mp4": "31465ff1bf698067633f347139d17aaaab596ad3646c43ce2e42c4231d8223fe" }, "all_frames_compared": 2527, "minimum_frame_psnr_db": 38.0021855976479, "maximum_frame_rgb_mae": 2.147566556930542, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 2528, "captured_samples": 2528, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2527, "end_time_s": 252.6500000000232, "error": null, "experimental": true, "fps": 10, "received_samples": 2528, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 5,053 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task01-03-store-dumplings-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 3, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, "session_original_sha256": "3727d3ba9858d52717f4a0788ee169b35997293f08ec7da318303e6773732923", "protocol_sha256": "66c49605362349c72c2effedd9355205c3fce52ef9b59b59c366c0fdd30aa3e1" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robocasa-control.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/03/seed-0/resources/memos/robocasa-control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 371, "observed_images": 113, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task01-04-seed0-formal", "task_key": "task01/04", "family": "task01", "slot": "04", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 5435, "success": false, "termination": "stopped" }, "steps": 5435, "simulation_time_s": 271.75, "wall_time_s": 1973.915146, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Gather the mushroom and bell pepper from the fridge and place them on a tray on the dining counter. Then gather the chicken drumsticks from the fridge and place them on the other tray.", "instruction": "Gather the specified vegetables from the fridge and place them on a tray on the dining counter. Then gather the specified meats from the fridge and place them on the other tray. Release the food and move the gripper clear of the food and both trays.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9899239913597869, "cache_reported_input_tokens": 11714063, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 11714063, "cached_input_tokens": 11596032, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 11714063, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 11596032, "known_input_tokens": 11714063, "known_output_tokens": 32111, "known_reasoning_output_tokens": 11814, "output_tokens": 32111, "reasoning_output_tokens": 11814, "reasoning_reported_output_tokens": 32111, "reported_responses": { "cache_reported_input_tokens": 190, "cache_write_input_tokens": 190, "cache_write_reported_input_tokens": 190, "cached_input_tokens": 190, "input_tokens": 190, "output_tokens": 190, "reasoning_output_tokens": 190, "reasoning_reported_output_tokens": 190 }, "response_count": 190, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 118031, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 189, "model_tool_calls_by_name": { "exec": 189 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 2718, "published_frames": 2798, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 2717, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 69.95, "sha256": "684612dd30e2c586f6deb01b6b74955c597cfea56a5bb00caceb212c46263cca", "source_sha256": { "third_person.mp4": "90df5bd6f19ed94c25ec34092417a7845ee8534e9d3ea461077eb6bf16c6f6f4", "wrist.mp4": "e3f1feb0d0f43db7c931838b1d84b38cbde954031d19211c7fc3cc95abb63a58" }, "all_frames_compared": 2718, "minimum_frame_psnr_db": 37.46343455083394, "maximum_frame_rgb_mae": 2.2885396480560303, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 2719, "captured_samples": 2719, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2718, "end_time_s": 271.7500000000275, "error": null, "experimental": true, "fps": 10, "received_samples": 2719, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 5,435 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task01-04-divide-buffet-trays-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 6, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, "session_original_sha256": "c3183edbfa27e84e730ab8978fe6db2e64bc04e32a327d4594af4c5a6844be0e", "protocol_sha256": "1ee5b218734e6a1617f3d05d489c52600880cddfc683e60accdf644d04e51bbb" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robocasa-control.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/04/seed-0/resources/memos/robocasa-control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 399, "observed_images": 122, "tool_errors": 7 }, "selected_for_formal_metrics": true }, { "id": "task01-05-seed0-formal", "task_key": "task01/05", "family": "task01", "slot": "05", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 5224, "success": true, "termination": "success" }, "steps": 5224, "simulation_time_s": 261.2, "wall_time_s": 1964.925029, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Add the butter stick, sugar cube, and cream cheese stick to the stand mixer bowl and then turn the speed knob to begin making cheesecake filling.", "instruction": "Add the butter stick, sugar cube, and cream cheese stick to the stand mixer bowl, lower the mixer head fully, and turn the speed knob to begin making cheesecake filling.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9885663091343345, "cache_reported_input_tokens": 12355153, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 12355153, "cached_input_tokens": 12213888, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 12355153, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 12213888, "known_input_tokens": 12355153, "known_output_tokens": 35229, "known_reasoning_output_tokens": 13787, "output_tokens": 35229, "reasoning_output_tokens": 13787, "reasoning_reported_output_tokens": 35229, "reported_responses": { "cache_reported_input_tokens": 202, "cache_write_input_tokens": 202, "cache_write_reported_input_tokens": 202, "cached_input_tokens": 202, "input_tokens": 202, "output_tokens": 202, "reasoning_output_tokens": 202, "reasoning_reported_output_tokens": 202 }, "response_count": 202, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 141265, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 201, "model_tool_calls_by_name": { "exec": 201 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 2613, "published_frames": 2693, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 2612, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 67.325, "sha256": "2ee140b8365320f6893680402f15d63d475571c41c3daf19620c0de225174a70", "source_sha256": { "third_person.mp4": "c690f8554dc0cf2c3fe95a7e3855b737a1f47d94e490e8fd72dc31c5a7ae1780", "wrist.mp4": "12fbeaed9f517867e91b8f4fb9ad9e66bcab5bfe59e5bb900c1783ec40ebe3e9" }, "all_frames_compared": 2613, "minimum_frame_psnr_db": 38.241204359424536, "maximum_frame_rgb_mae": 1.9368914365768433, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 2613, "captured_samples": 2613, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2613, "end_time_s": 261.2000000000251, "error": null, "experimental": true, "fps": 10, "received_samples": 2613, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 5,224 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task01-05-make-cheesecake-filling-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 7, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, "session_original_sha256": "2e45f5a2bfc87c915949b1e9209e881afc34cbfa6b50268ae2ddaaaf1db45ec2", "protocol_sha256": "09896ba5b0aa8989cea18da115f01eb7144582b8c97b2953b5d3ea2dd0eb42fa" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robocasa_manipulation.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/05/seed-0/resources/memos/robocasa_manipulation.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 430, "observed_images": 97, "tool_errors": 5 }, "selected_for_formal_metrics": true }, { "id": "task01-06-seed0-formal", "task_key": "task01/06", "family": "task01", "slot": "06", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 5416, "success": false, "termination": "stopped" }, "steps": 5416, "simulation_time_s": 270.8, "wall_time_s": 1456.598048, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Turn on the sink faucet. Then move the lemon wedge from the counter to the sink. Turn off the sink. Move the vegetable from the sink to the pot next to the stove. Finally move the pot to the rear left burner.", "instruction": "Turn on the sink faucet. Move the specified vegetable from the counter into the sink while the water is running. Turn off the faucet, move the vegetable into the pot next to the stove, and move the pot to the specified burner.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9880091550479709, "cache_reported_input_tokens": 9630097, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 9630097, "cached_input_tokens": 9514624, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 9630097, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 9514624, "known_input_tokens": 9630097, "known_output_tokens": 24897, "known_reasoning_output_tokens": 10825, "output_tokens": 24897, "reasoning_output_tokens": 10825, "reasoning_reported_output_tokens": 24897, "reported_responses": { "cache_reported_input_tokens": 145, "cache_write_input_tokens": 145, "cache_write_reported_input_tokens": 145, "cached_input_tokens": 145, "input_tokens": 145, "output_tokens": 145, "reasoning_output_tokens": 145, "reasoning_reported_output_tokens": 145 }, "response_count": 145, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 115473, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 144, "model_tool_calls_by_name": { "exec": 144 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 2709, "published_frames": 2789, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 2708, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 69.725, "sha256": "35c0d3c3ce913fb355a6a8fb50bd4cd26c9df41340806c1410e1389dd236422e", "source_sha256": { "third_person.mp4": "b53a2b29b9594bde19861818b56f25327d2f6140774ae5128ec5ebc92ec81bd3", "wrist.mp4": "40fde6737510cff0da74a5e1af9736ad4276642e6075b3b3fc4f927a59dab16c" }, "all_frames_compared": 2709, "minimum_frame_psnr_db": 37.057278088285955, "maximum_frame_rgb_mae": 2.494063138961792, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 2709, "captured_samples": 2709, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2709, "end_time_s": 270.8000000000273, "error": null, "experimental": true, "fps": 10, "received_samples": 2709, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 5,416 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task01-06-multistep-steaming-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 4, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, "session_original_sha256": "be66f589b21a17eb88128e062bb12086b2194b29cef48af536daa19951c062f0", "protocol_sha256": "30fb270b4f0830e49eae5d8c77ee418edc397414725233a4c11f2985fee95fe7" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "skills/robocasa-manipulation.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/resources/skills/robocasa-manipulation.md", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robocasa-control.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/06/seed-0/resources/memos/robocasa-control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 309, "observed_images": 93, "tool_errors": 1 }, "selected_for_formal_metrics": true }, { "id": "task01-07-seed0-formal", "task_key": "task01/07", "family": "task01", "slot": "07", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1426, "success": false, "termination": "stopped" }, "steps": 1426, "simulation_time_s": 71.3, "wall_time_s": 394.373333, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Take the chicken drumstick from the fridge and place it on the digital scale on the counter by the fridge. Wait a few seconds for a reading, then move it to the plate on the dining counter.", "instruction": "Take the specified meat from the fridge and place it on the digital scale on the counter by the fridge. Release it and move the gripper clear while waiting a few seconds for a reading. Then move it to the plate on the dining counter, release it, and move the gripper clear.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9663948735854094, "cache_reported_input_tokens": 1217225, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1217225, "cached_input_tokens": 1176320, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1217225, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1176320, "known_input_tokens": 1217225, "known_output_tokens": 8600, "known_reasoning_output_tokens": 2758, "output_tokens": 8600, "reasoning_output_tokens": 2758, "reasoning_reported_output_tokens": 8600, "reported_responses": { "cache_reported_input_tokens": 36, "cache_write_input_tokens": 36, "cache_write_reported_input_tokens": 36, "cached_input_tokens": 36, "input_tokens": 36, "output_tokens": 36, "reasoning_output_tokens": 36, "reasoning_reported_output_tokens": 36 }, "response_count": 36, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 40905, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 35, "model_tool_calls_by_name": { "exec": 35 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 714, "published_frames": 794, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 713, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 19.85, "sha256": "e74d7940fbc5369896194e26b6f59e2169a8e6f717977dd31a60d6219af9fe36", "source_sha256": { "third_person.mp4": "d91ecca1b9173d6b999cc624bdc8e4c8510886fcfe5808be56e7de00ddc96d8c", "wrist.mp4": "4a78e4e2810929c0e0068944ef1613a9fbec584c2e3cdd4854e25725c4c81e22" }, "all_frames_compared": 714, "minimum_frame_psnr_db": 38.685168755373944, "maximum_frame_rgb_mae": 1.9230414628982544, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 714, "captured_samples": 714, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 714, "end_time_s": 71.2999999999981, "error": null, "experimental": true, "fps": 10, "received_samples": 714, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,426 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task01-07-scale-portioning-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 0, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, "session_original_sha256": "f033ba25eb22c9fc4640566a5e212f05b379f90597d9a6b30d804a7c9bf18ca3", "protocol_sha256": "d8853a96f748501bccf41fbca04175e69b3b4b557976e14e245ba24ea58d7323" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robocasa_control.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/07/seed-0/resources/memos/robocasa_control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 84, "observed_images": 35, "tool_errors": 1 }, "selected_for_formal_metrics": true }, { "id": "task01-08-seed0-formal", "task_key": "task01/08", "family": "task01", "slot": "08", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1212, "success": false, "termination": "stopped" }, "steps": 1212, "simulation_time_s": 60.6, "wall_time_s": 276.421696, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pick up the sponge from the counter and clean the cutting board by briefly scrubbing or pressing down on the cutting board. Once finished, release the sponge.", "instruction": "Pick up the sponge from the counter and scrub across a broad area of the cutting board, keeping the sponge grasped and in contact with the board throughout the scrubbing motion. Once finished, release the sponge and retract the gripper well away from it.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9606465096549688, "cache_reported_input_tokens": 775611, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 775611, "cached_input_tokens": 745088, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 775611, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 745088, "known_input_tokens": 775611, "known_output_tokens": 6607, "known_reasoning_output_tokens": 1428, "output_tokens": 6607, "reasoning_output_tokens": 1428, "reasoning_reported_output_tokens": 6607, "reported_responses": { "cache_reported_input_tokens": 26, "cache_write_input_tokens": 26, "cache_write_reported_input_tokens": 26, "cached_input_tokens": 26, "input_tokens": 26, "output_tokens": 26, "reasoning_output_tokens": 26, "reasoning_reported_output_tokens": 26 }, "response_count": 26, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 30523, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 25, "model_tool_calls_by_name": { "exec": 25 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 607, "published_frames": 687, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 606, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 17.175, "sha256": "8cb379fe8fd05c3f3809ec2e0baa94de25466930fbbc307e37a97fc0a49dc39b", "source_sha256": { "third_person.mp4": "78c9dbf1e853522cf0a5b5c954c225427b6e1162f4c605b06b22d37034aa642b", "wrist.mp4": "d285adf3bc8b962be7f5f0d15cfff23abb620c27af07befb34925de26b230cd3" }, "all_frames_compared": 607, "minimum_frame_psnr_db": 42.55739246406893, "maximum_frame_rgb_mae": 1.2078295946121216, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 607, "captured_samples": 607, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 607, "end_time_s": 60.599999999998694, "error": null, "experimental": true, "fps": 10, "received_samples": 607, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,212 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task01-08-scrub-cutting-board-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 1, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, "session_original_sha256": "244325554a84ed8ccb2d225fb9836d52f84dbcc82db3f754aa2fafd64744b398", "protocol_sha256": "828302ab34955790504cb974ea07d080685f76d638b3f581c76d06dba7106974" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/panda_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robocasa.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/08/seed-0/resources/memos/robocasa.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 61, "observed_images": 17, "tool_errors": 6 }, "selected_for_formal_metrics": true }, { "id": "task01-09-seed0-formal", "task_key": "task01/09", "family": "task01", "slot": "09", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2216, "success": false, "termination": "stopped" }, "steps": 2216, "simulation_time_s": 110.8, "wall_time_s": 625.032726, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pick the bell pepper and the cream cheese from the fridge, place them in the blender, and turn it on.", "instruction": "Pick the specified vegetable and the cream cheese from the fridge, place both fully inside the blender, and turn it on.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9733556695336862, "cache_reported_input_tokens": 1973478, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1973478, "cached_input_tokens": 1920896, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1973478, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1920896, "known_input_tokens": 1973478, "known_output_tokens": 11695, "known_reasoning_output_tokens": 4578, "output_tokens": 11695, "reasoning_output_tokens": 4578, "reasoning_reported_output_tokens": 11695, "reported_responses": { "cache_reported_input_tokens": 48, "cache_write_input_tokens": 48, "cache_write_reported_input_tokens": 48, "cached_input_tokens": 48, "input_tokens": 48, "output_tokens": 48, "reasoning_output_tokens": 48, "reasoning_reported_output_tokens": 48 }, "response_count": 48, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 52582, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 47, "model_tool_calls_by_name": { "exec": 47 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 1109, "published_frames": 1189, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 1108, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 29.725, "sha256": "faa9cc05c5cdaea638fa2b4a20503ef1ee2eee2c5701b7749cf775dec83f6f7e", "source_sha256": { "third_person.mp4": "9a6102841cd30b0ec444bf97d71314b0e274a2a8640f9c55da57393091efbf3a", "wrist.mp4": "efdb53d8dc8b6cf857cd9033762149a088e65d43704bfa8f97fb96413f0fb603" }, "all_frames_compared": 1109, "minimum_frame_psnr_db": 40.26705996642036, "maximum_frame_rgb_mae": 1.5987242460250854, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 1109, "captured_samples": 1109, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1109, "end_time_s": 110.79999999999585, "error": null, "experimental": true, "fps": 10, "received_samples": 1109, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,216 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task01-09-prepare-veggie-dip-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 2, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, "session_original_sha256": "c704782b4f2f8b005101e7c8406a75d0e68c9888fcb5fd8baf9065e8cef4dc99", "protocol_sha256": "fdeb69aecef69e1512136a89c7f9cc51fde28b55423ac16dc6948b17fdb6fcec" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/resources/tools/control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robocasa.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/09/seed-0/resources/memos/robocasa.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 107, "observed_images": 61, "tool_errors": 0 }, "selected_for_formal_metrics": true }, { "id": "task01-10-seed0-formal", "task_key": "task01/10", "family": "task01", "slot": "10", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 3969, "success": true, "termination": "success" }, "steps": 3969, "simulation_time_s": 198.45, "wall_time_s": 800.707309, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pick the mushroom from the fridge and hold it under the sink faucet to wash it. Then place it on the tray next to the sink to prepare for roasting.", "instruction": "Pick the specified vegetable from the fridge and hold it under running water from the sink faucet to wash it. Then place it on the tray next to the sink to prepare for roasting. Release it and move the gripper clear.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9777504182000669, "cache_reported_input_tokens": 2989000, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2989000, "cached_input_tokens": 2922496, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 2989000, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 2922496, "known_input_tokens": 2989000, "known_output_tokens": 13452, "known_reasoning_output_tokens": 4273, "output_tokens": 13452, "reasoning_output_tokens": 4273, "reasoning_reported_output_tokens": 13452, "reported_responses": { "cache_reported_input_tokens": 68, "cache_write_input_tokens": 68, "cache_write_reported_input_tokens": 68, "cached_input_tokens": 68, "input_tokens": 68, "output_tokens": 68, "reasoning_output_tokens": 68, "reasoning_reported_output_tokens": 68 }, "response_count": 68, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 66504, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 67, "model_tool_calls_by_name": { "exec": 67 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 1985, "published_frames": 2065, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 1984, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 51.625, "sha256": "25179c986a7201b43cf28c9533cd0b72107a3a0e086233e163399730435fb3bb", "source_sha256": { "third_person.mp4": "6527fceea5a0d8d47b9e4d5a82afc453c1089df609e6f0ff3c3c9f2ab9ae1d47", "wrist.mp4": "88aa7ebe0accc51f8d5e7778fdb592361e2ecab3e21b84dea6f9c0fc9ce3e56d" }, "all_frames_compared": 1985, "minimum_frame_psnr_db": 40.172689032627545, "maximum_frame_rgb_mae": 1.5079092979431152, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 1986, "captured_samples": 1986, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1985, "end_time_s": 198.45000000001087, "error": null, "experimental": true, "fps": 10, "received_samples": 1986, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 3,969 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task01-10-prepare-vegetable-roasting-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 3, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:3c6bb887dacabbb7245e739b335c6747c42f48a228583866f69267ea266c03f0" }, "session_original_sha256": "e301cf601402de64bfdd85e2bc5e35a799ca6d0fa60d6216cfde51cb5b4f6384", "protocol_sha256": "12c94809e7b2e98486cd0036d528a828a0c211418b0d365710fd263517dec825" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robocasa_control.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task01/10/seed-0/resources/memos/robocasa_control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 151, "observed_images": 87, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task02-01-seed0-formal", "task_key": "task02/01", "family": "task02", "slot": "01", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 969, "success": true, "termination": "success" }, "steps": 969, "simulation_time_s": null, "wall_time_s": 272.779105, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "put both the alphabet soup and the tomato sauce in the basket", "instruction": "put both the alphabet soup and the tomato sauce in the basket", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9509386255123954, "cache_reported_input_tokens": 832121, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 832121, "cached_input_tokens": 791296, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 832121, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 791296, "known_input_tokens": 832121, "known_output_tokens": 6802, "known_reasoning_output_tokens": 1635, "output_tokens": 6802, "reasoning_output_tokens": 1635, "reasoning_reported_output_tokens": 6802, "reported_responses": { "cache_reported_input_tokens": 27, "cache_write_input_tokens": 27, "cache_write_reported_input_tokens": 27, "cached_input_tokens": 27, "input_tokens": 27, "output_tokens": 27, "reasoning_output_tokens": 27, "reasoning_reported_output_tokens": 27 }, "response_count": 27, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 40825, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 26, "model_tool_calls_by_name": { "exec": 26 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 483, "published_frames": 563, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 482, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 14.075, "sha256": "e2ad053cb3a6f5b07c3e793898fb32591098bb9ade819f07be97c6460588bddb", "source_sha256": { "third_person.mp4": "55d66feaeedd2a7d372371836b975869fa1a0d707d35ad9783d9f276258143d6", "wrist.mp4": "3751337173e58dc4c3eaabe1f5e8e54828abb0fe371a97111831949fefafcb1b" }, "all_frames_compared": 483, "minimum_frame_psnr_db": 40.92736650465333, "maximum_frame_rgb_mae": 1.5692113637924194, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 483, "captured_samples": 483, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 483, "end_time_s": 48.1999999999994, "error": null, "experimental": true, "fps": 10, "received_samples": 483, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 969 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task02-01-libero-10-01-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 6, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, "session_original_sha256": "f12ec4f4577b24bbfc8cc11736b6a2ccf8b89dd16ba6008acc8e14b3a0f4593e", "protocol_sha256": "12310099caf8c22cd35d1b1702b90f7780034b1347863b2f0b0dd36c0986aadb" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/panda_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/libero_panda.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/01/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 66, "observed_images": 34, "tool_errors": 2 }, "selected_for_formal_metrics": true }, { "id": "task02-02-seed0-formal", "task_key": "task02/02", "family": "task02", "slot": "02", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 722, "success": true, "termination": "success" }, "steps": 722, "simulation_time_s": null, "wall_time_s": 231.024585, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "put both the cream cheese box and the butter in the basket", "instruction": "put both the cream cheese box and the butter in the basket", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9515345728205089, "cache_reported_input_tokens": 784518, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 784518, "cached_input_tokens": 746496, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 784518, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 746496, "known_input_tokens": 784518, "known_output_tokens": 6225, "known_reasoning_output_tokens": 1371, "output_tokens": 6225, "reasoning_output_tokens": 1371, "reasoning_reported_output_tokens": 6225, "reported_responses": { "cache_reported_input_tokens": 28, "cache_write_input_tokens": 28, "cache_write_reported_input_tokens": 28, "cached_input_tokens": 28, "input_tokens": 28, "output_tokens": 28, "reasoning_output_tokens": 28, "reasoning_reported_output_tokens": 28 }, "response_count": 28, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 38022, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 27, "model_tool_calls_by_name": { "exec": 27 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 359, "published_frames": 439, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 358, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 10.975, "sha256": "4e613cb6dc6dad95d47b0cf0b1c85fd6d7f9db563eb7325a36517a154cab3066", "source_sha256": { "third_person.mp4": "e52e829f8c04238f0f3225520f4f4d5e3a0bc90fe40f619652495578fb2eeef6", "wrist.mp4": "29b92a509c788bfc0b12214f2ec4205b6fbc32cd02f00a2977bf72565c65121f" }, "all_frames_compared": 359, "minimum_frame_psnr_db": 40.865708684473034, "maximum_frame_rgb_mae": 1.5611512660980225, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 360, "captured_samples": 360, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 359, "end_time_s": 35.8500000000001, "error": null, "experimental": true, "fps": 10, "received_samples": 360, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 722 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task02-02-libero-10-02-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 7, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, "session_original_sha256": "4586e6d83a549d4c0b54fc4fb665422f8d51539fd23b0e2fda86854037739d01", "protocol_sha256": "12cc7fa7e225614b41a5c3fda75bdf62f9e9b39b16c730cef3d5920ad9440392" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/panda.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/resources/tools/panda.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/libero_panda.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/02/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 66, "observed_images": 29, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task02-03-seed0-formal", "task_key": "task02/03", "family": "task02", "slot": "03", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2013, "success": true, "termination": "success" }, "steps": 2013, "simulation_time_s": null, "wall_time_s": 531.974225, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "turn on the stove and put the moka pot on it", "instruction": "turn on the stove and put the moka pot on it", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.967178914688548, "cache_reported_input_tokens": 2225094, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2225094, "cached_input_tokens": 2152064, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 2225094, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 2152064, "known_input_tokens": 2225094, "known_output_tokens": 13673, "known_reasoning_output_tokens": 5025, "output_tokens": 13673, "reasoning_output_tokens": 5025, "reasoning_reported_output_tokens": 13673, "reported_responses": { "cache_reported_input_tokens": 50, "cache_write_input_tokens": 50, "cache_write_reported_input_tokens": 50, "cached_input_tokens": 50, "input_tokens": 50, "output_tokens": 50, "reasoning_output_tokens": 50, "reasoning_reported_output_tokens": 50 }, "response_count": 50, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 73030, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 49, "model_tool_calls_by_name": { "exec": 49 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 1005, "published_frames": 1085, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 1004, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 27.125, "sha256": "683ad67e8dbb251f9f862a7e087f84ccd6c4d265e0c2fc8eb01afaddd2d029dd", "source_sha256": { "third_person.mp4": "5b8f6723d00ee426fb4cb6473a05b4e0972027055775c3f2d50c9827247295ad", "wrist.mp4": "bf4acb9f6d2d9a4cd9532d9c5efe67d28f90b3494af7a274d595ed9aeee7dd23" }, "all_frames_compared": 1005, "minimum_frame_psnr_db": 40.85824027475528, "maximum_frame_rgb_mae": 1.5785024166107178, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 1005, "captured_samples": 1005, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1005, "end_time_s": 100.39999999999644, "error": null, "experimental": true, "fps": 10, "received_samples": 1005, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,013 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "native_goal_scope": "\u539f\u751f\u6210\u529f\u6761\u4ef6\u4ec5\u68c0\u67e5\u76ee\u6807\u4f4d\u7f6e\uff0f\u63a5\u89e6\u5173\u7cfb\uff1b\u771f\u5b9e\u7ec8\u5e27\u4ecd\u663e\u793a\u5939\u6301\u3002\u539f\u751f\u6761\u4ef6\u4e0d\u8981\u6c42\u677e\u624b\u6216\u7a33\u5b9a\u843d\u4f4d\uff0c\u6b64\u5904\u4fdd\u7559\u539f\u751f\u901a\u8fc7\u5224\u5b9a\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task02-03-libero-10-03-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 1, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, "session_original_sha256": "1b15535aa021d5a8418eb769b8e775c2301397b3e9f98ec7f75fc7c9dd9a053c", "protocol_sha256": "4ee86729ea6301a80cd237762045640ac298b6dfd27faf0547387137274f2fcd" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/panda.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/resources/tools/panda.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/triangulate.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/resources/tools/triangulate.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/libero_panda.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/03/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 110, "observed_images": 62, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task02-04-seed0-formal", "task_key": "task02/04", "family": "task02", "slot": "04", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2081, "success": false, "termination": "stopped" }, "steps": 2081, "simulation_time_s": null, "wall_time_s": 425.202323, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "put the black bowl in the bottom drawer of the cabinet and close it", "instruction": "put the black bowl in the bottom drawer of the cabinet and close it", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9656174137975932, "cache_reported_input_tokens": 1382444, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1382444, "cached_input_tokens": 1334912, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1382444, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1334912, "known_input_tokens": 1382444, "known_output_tokens": 12747, "known_reasoning_output_tokens": 5769, "output_tokens": 12747, "reasoning_output_tokens": 5769, "reasoning_reported_output_tokens": 12747, "reported_responses": { "cache_reported_input_tokens": 40, "cache_write_input_tokens": 40, "cache_write_reported_input_tokens": 40, "cached_input_tokens": 40, "input_tokens": 40, "output_tokens": 40, "reasoning_output_tokens": 40, "reasoning_reported_output_tokens": 40 }, "response_count": 40, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 47532, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 39, "model_tool_calls_by_name": { "exec": 39 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 1039, "published_frames": 1119, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 1038, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 27.975, "sha256": "5ab1deff54475f6dd503514998fd78940c252ea4f1716f8962b8ab94eb9eb6f5", "source_sha256": { "third_person.mp4": "0a88e5c4b9189415ccd4bc819af7bbfabc04557738e1bb1d683b8f7be353ea29", "wrist.mp4": "85dae1c48d2e13c13ea0e663a4a50aedd7fced526aaf44bae6dc75e9bcb07a56" }, "all_frames_compared": 1039, "minimum_frame_psnr_db": 39.6070605417452, "maximum_frame_rgb_mae": 1.6335564851760864, "decode_ok": true, "pts_verified": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 1039, "captured_samples": 1039, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1039, "end_time_s": 103.79999999999625, "error": null, "experimental": true, "fps": 10, "overflow_policy": "bounded_backpressure", "received_samples": 1039, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,081 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u771f\u5b9e\u7ec8\u5e27\u7684\u5e95\u5c42\u62bd\u5c49\u4ecd\u6709\u7f1d\u9699\uff0cagent \u4e5f\u62a5\u544a\u672a\u5b8c\u5168\u5173\u95ed\uff1b\u4e0e\u539f\u751f\u5931\u8d25\u4e00\u81f4\u3002\u6307\u4ee4\u660e\u786e\u8981\u6c42\u5173\u4e0a\u62bd\u5c49\uff0c\u6ca1\u6709\u786e\u8ba4\u7684\u6307\u4ee4\u9057\u6f0f\u6216 verifier \u8bef\u5224\u3002", "recording": "\u4f7f\u7528\u66f4\u65b0\u540e\u7684 stepped \u5f55\u5236\u961f\u5217\u91cd\u65b0\u6267\u884c\uff1b\u6e90\u91c7\u6837\u4e22\u5931\u4e3a 0\u3002\u539f\u59cb\u56de\u5408\u53ca\u5176\u539f\u751f\u5224\u5b9a\u5b8c\u6574\u4fdd\u7559\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "README.md", "src", "tasks", "tests", "docs", "Makefile" ], "content_sha256": "635adce00c840c49aac560ecdb0425a3a45ff8b4804b0620cca45e158bf1916f", "dirty": true, "revision": "f1935004c2fb23501b937cd29b826f69a06214b2", "runtime_snapshot_content_sha256": "635adce00c840c49aac560ecdb0425a3a45ff8b4804b0620cca45e158bf1916f", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/RLE-Bench-inhouse", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse", "live_content_sha256": "bbd03a94ca5776307435b6ed81c0f935a17f836b9ee80770069b58162d5e7e8f", "snapshot_mode": "Current workspace plus owner-only diagnostic configuration; instruction unchanged." }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "b5e31f051d55e015746e645939e4cbcbbdc44ec111593ef2711c5360900d7768", "dirty": true, "revision": "612c1528c92065b8f2254a841595e65664dc957d", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/RoboEnv", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/kinex", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task02-04-libero-10-04-codex-seed0-recording-replacement-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 1, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 6, "concurrency_note": "Six authorized fresh repair and diagnostic episodes; idle GPUs only.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "recording-replacement", "measured_images": { "agent": "sha256:442b190234fb474b7ac7a1f0e03c268be10afc773a829c23bf421f8373f70dde", "task": "sha256:43e8b22eabf2f490bb210e6f13663bc6e5f49cc65be67174edf268d03cc41f6d" }, "session_original_sha256": "23f688fddf5fe3d5b02b5df9b9992b412bc25e10bb3a33e2edbcf8ce54c56c2e", "protocol_sha256": "2cd301bfe0c1a1d6d4a420b1471374a8d33f9471ab060c1d6dcf66fbf74969bf", "replaced_job": "task02-04-libero-10-04-codex-seed0-attempt01" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/panda_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/libero_panda.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/04/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 91, "observed_images": 45, "tool_errors": 2 }, "selected_for_formal_metrics": true }, { "id": "task02-05-seed0-formal", "task_key": "task02/05", "family": "task02", "slot": "05", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 634, "success": true, "termination": "success" }, "steps": 634, "simulation_time_s": null, "wall_time_s": 195.147246, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "put the white mug on the left plate and put the yellow and white mug on the right plate", "instruction": "put the white mug in the center of the left plate and put the yellow and white mug in the center of the right plate, with each mug resting on its plate", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9493350495033964, "cache_reported_input_tokens": 509662, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 509662, "cached_input_tokens": 483840, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 509662, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 483840, "known_input_tokens": 509662, "known_output_tokens": 5212, "known_reasoning_output_tokens": 1183, "output_tokens": 5212, "reasoning_output_tokens": 1183, "reasoning_reported_output_tokens": 5212, "reported_responses": { "cache_reported_input_tokens": 20, "cache_write_input_tokens": 20, "cache_write_reported_input_tokens": 20, "cached_input_tokens": 20, "input_tokens": 20, "output_tokens": 20, "reasoning_output_tokens": 20, "reasoning_reported_output_tokens": 20 }, "response_count": 20, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 25822, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 19, "model_tool_calls_by_name": { "exec": 19 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 315, "published_frames": 395, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 314, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 9.875, "sha256": "2dee7acaa30050fba7a9c0a4a37bb58e7bef519788af617aa568ec29dfc9c4dc", "source_sha256": { "third_person.mp4": "98f062ecdd508144734397696f8427c17b2a8c8b770d93068d4f1350ab3bd1b7", "wrist.mp4": "8858407a29d56a0e938fb075ac12c00634f14c71dcf3ab39227e6913b711df80" }, "all_frames_compared": 315, "minimum_frame_psnr_db": 41.50050843030813, "maximum_frame_rgb_mae": 1.4998823404312134, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 316, "captured_samples": 316, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 315, "end_time_s": 31.450000000000312, "error": null, "experimental": true, "fps": 10, "received_samples": 316, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 634 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "native_goal_scope": "\u539f\u751f\u6210\u529f\u6761\u4ef6\u4ec5\u68c0\u67e5\u76ee\u6807\u4f4d\u7f6e\uff0f\u63a5\u89e6\u5173\u7cfb\uff1b\u771f\u5b9e\u7ec8\u5e27\u4ecd\u663e\u793a\u5939\u6301\u3002\u539f\u751f\u6761\u4ef6\u4e0d\u8981\u6c42\u677e\u624b\u6216\u7a33\u5b9a\u843d\u4f4d\uff0c\u6b64\u5904\u4fdd\u7559\u539f\u751f\u901a\u8fc7\u5224\u5b9a\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task02-05-libero-10-05-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 0, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, "session_original_sha256": "8bd2b98a56d70d3bf40dcafc127ffeb2d4ee0ea59826caec4f6cb8516f0598f4", "protocol_sha256": "aa8612b5784bd68176b7ef74c2a6b2df6f1923236ef02e59a7af155a463dd0ef" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/panda.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/resources/tools/panda.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/libero_panda.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/05/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 48, "observed_images": 19, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task02-06-seed0-formal", "task_key": "task02/06", "family": "task02", "slot": "06", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 325, "success": true, "termination": "success" }, "steps": 325, "simulation_time_s": null, "wall_time_s": 241.745547, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "pick up the book and place it in the back compartment of the caddy", "instruction": "pick up the book and place it in the back compartment of the caddy, between the two large side compartments", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.956185574299006, "cache_reported_input_tokens": 707210, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 707210, "cached_input_tokens": 676224, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 707210, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 676224, "known_input_tokens": 707210, "known_output_tokens": 6550, "known_reasoning_output_tokens": 2424, "output_tokens": 6550, "reasoning_output_tokens": 2424, "reasoning_reported_output_tokens": 6550, "reported_responses": { "cache_reported_input_tokens": 25, "cache_write_input_tokens": 25, "cache_write_reported_input_tokens": 25, "cached_input_tokens": 25, "input_tokens": 25, "output_tokens": 25, "reasoning_output_tokens": 25, "reasoning_reported_output_tokens": 25 }, "response_count": 25, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 30986, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 24, "model_tool_calls_by_name": { "exec": 24 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 161, "published_frames": 241, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 160, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 6.025, "sha256": "bb58ca0e4e16abe53c16a1084bba73da1a01ba1066d183c3c420a942677de2d6", "source_sha256": { "third_person.mp4": "9daab516aa8fde2a7d5d830c99ce081bb7a940a025bde7f473df9327626552ab", "wrist.mp4": "878e6626dec38093ec97e5a24417d80c1a985bb4e1e8274798f4eea3b0c87dcd" }, "all_frames_compared": 161, "minimum_frame_psnr_db": 42.44780443534815, "maximum_frame_rgb_mae": 1.3797035217285156, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 161, "captured_samples": 161, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 161, "end_time_s": 16.000000000000092, "error": null, "experimental": true, "fps": 10, "received_samples": 161, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 325 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task02-06-libero-10-06-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 1, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, "session_original_sha256": "54e68328b024caa7775ae5288da32d23507836886a03be8db004fde58bc3a20f", "protocol_sha256": "00df44aea40ecfa4fdb9b2d79ea89ee3bac07b53ecc4b93a1ffc313e0c1f4e98" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/panda_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/libero_panda.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/06/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 58, "observed_images": 13, "tool_errors": 2 }, "selected_for_formal_metrics": true }, { "id": "task02-07-seed0-formal", "task_key": "task02/07", "family": "task02", "slot": "07", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1109, "success": true, "termination": "success" }, "steps": 1109, "simulation_time_s": null, "wall_time_s": 265.471056, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "put the white mug on the plate and put the chocolate pudding to the right of the plate", "instruction": "put the white mug in the center of the plate and put the chocolate pudding immediately to the right of the plate", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9516503131606452, "cache_reported_input_tokens": 759674, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 759674, "cached_input_tokens": 722944, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 759674, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 722944, "known_input_tokens": 759674, "known_output_tokens": 6893, "known_reasoning_output_tokens": 2037, "output_tokens": 6893, "reasoning_output_tokens": 2037, "reasoning_reported_output_tokens": 6893, "reported_responses": { "cache_reported_input_tokens": 26, "cache_write_input_tokens": 26, "cache_write_reported_input_tokens": 26, "cached_input_tokens": 26, "input_tokens": 26, "output_tokens": 26, "reasoning_output_tokens": 26, "reasoning_reported_output_tokens": 26 }, "response_count": 26, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 36730, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 25, "model_tool_calls_by_name": { "exec": 25 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 553, "published_frames": 633, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 552, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 15.825, "sha256": "be2280b03ea7ad4fd0bb943a92d920d52cae98380218fb693ae7f2a0b94c1905", "source_sha256": { "third_person.mp4": "c37421010ad4bdbef0d995f4f3c85932700c047420c91efabc41112b01974b1d", "wrist.mp4": "259cf5f9caff794242fdd437aa71a79cf22030db509be97ccb37ee8c01237182" }, "all_frames_compared": 553, "minimum_frame_psnr_db": 41.38950814581598, "maximum_frame_rgb_mae": 1.5420993566513062, "decode_ok": true, "pts_verified": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 553, "captured_samples": 553, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 553, "end_time_s": 55.199999999999, "error": null, "experimental": true, "fps": 10, "overflow_policy": "bounded_backpressure", "received_samples": 553, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,109 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "recording": "\u4f7f\u7528\u66f4\u65b0\u540e\u7684 stepped \u5f55\u5236\u961f\u5217\u91cd\u65b0\u6267\u884c\uff1b\u6e90\u91c7\u6837\u4e22\u5931\u4e3a 0\u3002\u539f\u59cb\u56de\u5408\u53ca\u5176\u539f\u751f\u5224\u5b9a\u5b8c\u6574\u4fdd\u7559\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "README.md", "src", "tasks", "tests", "docs", "Makefile" ], "content_sha256": "635adce00c840c49aac560ecdb0425a3a45ff8b4804b0620cca45e158bf1916f", "dirty": true, "revision": "f1935004c2fb23501b937cd29b826f69a06214b2", "runtime_snapshot_content_sha256": "635adce00c840c49aac560ecdb0425a3a45ff8b4804b0620cca45e158bf1916f", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/RLE-Bench-inhouse", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse", "live_content_sha256": "bbd03a94ca5776307435b6ed81c0f935a17f836b9ee80770069b58162d5e7e8f", "snapshot_mode": "Current workspace plus owner-only diagnostic configuration; instruction unchanged." }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "b5e31f051d55e015746e645939e4cbcbbdc44ec111593ef2711c5360900d7768", "dirty": true, "revision": "612c1528c92065b8f2254a841595e65664dc957d", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/RoboEnv", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/kinex", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task02-07-libero-10-07-codex-seed0-recording-replacement-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 6, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 6, "concurrency_note": "Six authorized fresh repair and diagnostic episodes; idle GPUs only.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "recording-replacement", "measured_images": { "agent": "sha256:442b190234fb474b7ac7a1f0e03c268be10afc773a829c23bf421f8373f70dde", "task": "sha256:43e8b22eabf2f490bb210e6f13663bc6e5f49cc65be67174edf268d03cc41f6d" }, "session_original_sha256": "41cf7d89429bdc21e0eb8883ae2286a4ea0ed345d482b4cd2a045ffe4588d691", "protocol_sha256": "bdb44af586667ee7eab0855e1a04f70e56609333b710668aa923999c6424aa55", "replaced_job": "task02-07-libero-10-07-codex-seed0-attempt01" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/panda_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/libero_panda.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/07/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 62, "observed_images": 25, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task02-08-seed0-formal", "task_key": "task02/08", "family": "task02", "slot": "08", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 749, "success": true, "termination": "success" }, "steps": 749, "simulation_time_s": null, "wall_time_s": 194.219873, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "put both the alphabet soup and the cream cheese box in the basket", "instruction": "put both the alphabet soup and the cream cheese box fully inside the basket", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9524417760029756, "cache_reported_input_tokens": 569954, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 569954, "cached_input_tokens": 542848, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 569954, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 542848, "known_input_tokens": 569954, "known_output_tokens": 6419, "known_reasoning_output_tokens": 2083, "output_tokens": 6419, "reasoning_output_tokens": 2083, "reasoning_reported_output_tokens": 6419, "reported_responses": { "cache_reported_input_tokens": 22, "cache_write_input_tokens": 22, "cache_write_reported_input_tokens": 22, "cached_input_tokens": 22, "input_tokens": 22, "output_tokens": 22, "reasoning_output_tokens": 22, "reasoning_reported_output_tokens": 22 }, "response_count": 22, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 27106, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 21, "model_tool_calls_by_name": { "exec": 21 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 373, "published_frames": 453, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 372, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 11.325, "sha256": "dceb019aac59787c44ed776949f7a17988ef68ab77920e96cc24d4e983a10b03", "source_sha256": { "third_person.mp4": "3dd6952f500810b9960e874b923a2ae4d8ebb16fc3dabbda713522c29016dc6c", "wrist.mp4": "531f18c47fc4a6dc362d9cf91c492962d48854cc22171184c84a3664fcefdabe" }, "all_frames_compared": 373, "minimum_frame_psnr_db": 41.92577356463522, "maximum_frame_rgb_mae": 1.4596598148345947, "decode_ok": true, "pts_verified": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 373, "captured_samples": 373, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 373, "end_time_s": 37.200000000000024, "error": null, "experimental": true, "fps": 10, "overflow_policy": "bounded_backpressure", "received_samples": 373, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 749 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "recording": "\u4f7f\u7528\u66f4\u65b0\u540e\u7684 stepped \u5f55\u5236\u961f\u5217\u91cd\u65b0\u6267\u884c\uff1b\u6e90\u91c7\u6837\u4e22\u5931\u4e3a 0\u3002\u539f\u59cb\u56de\u5408\u53ca\u5176\u539f\u751f\u5224\u5b9a\u5b8c\u6574\u4fdd\u7559\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "README.md", "src", "tasks", "tests", "docs", "Makefile" ], "content_sha256": "635adce00c840c49aac560ecdb0425a3a45ff8b4804b0620cca45e158bf1916f", "dirty": true, "revision": "f1935004c2fb23501b937cd29b826f69a06214b2", "runtime_snapshot_content_sha256": "635adce00c840c49aac560ecdb0425a3a45ff8b4804b0620cca45e158bf1916f", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/RLE-Bench-inhouse", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse", "live_content_sha256": "bbd03a94ca5776307435b6ed81c0f935a17f836b9ee80770069b58162d5e7e8f", "snapshot_mode": "Current workspace plus owner-only diagnostic configuration; instruction unchanged." }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "b5e31f051d55e015746e645939e4cbcbbdc44ec111593ef2711c5360900d7768", "dirty": true, "revision": "612c1528c92065b8f2254a841595e65664dc957d", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/RoboEnv", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/kinex", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task02-08-libero-10-08-codex-seed0-recording-replacement-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 7, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 6, "concurrency_note": "Six authorized fresh repair and diagnostic episodes; idle GPUs only.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "recording-replacement", "measured_images": { "agent": "sha256:442b190234fb474b7ac7a1f0e03c268be10afc773a829c23bf421f8373f70dde", "task": "sha256:43e8b22eabf2f490bb210e6f13663bc6e5f49cc65be67174edf268d03cc41f6d" }, "session_original_sha256": "1a0bb0f8a4bd09402a82d45533ec038a5f2606ba6c0bc4ce69fc39bfc04de807", "protocol_sha256": "b0e2388679180c5a165f77c1cc90a2c5bfce0b2b1582b118c86392d435c21543", "replaced_job": "task02-08-libero-10-08-codex-seed0-attempt01" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/libero_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/resources/tools/libero_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/libero_panda.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/08/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 55, "observed_images": 27, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task02-09-seed0-formal", "task_key": "task02/09", "family": "task02", "slot": "09", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1678, "success": true, "termination": "success" }, "steps": 1678, "simulation_time_s": null, "wall_time_s": 468.030664, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "put both moka pots on the stove", "instruction": "put both moka pots on the stove and turn the stove on", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.957354311657529, "cache_reported_input_tokens": 1421785, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1421785, "cached_input_tokens": 1361152, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1421785, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1361152, "known_input_tokens": 1421785, "known_output_tokens": 12039, "known_reasoning_output_tokens": 5862, "output_tokens": 12039, "reasoning_output_tokens": 5862, "reasoning_reported_output_tokens": 12039, "reported_responses": { "cache_reported_input_tokens": 40, "cache_write_input_tokens": 40, "cache_write_reported_input_tokens": 40, "cached_input_tokens": 40, "input_tokens": 40, "output_tokens": 40, "reasoning_output_tokens": 40, "reasoning_reported_output_tokens": 40 }, "response_count": 40, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 60633, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 39, "model_tool_calls_by_name": { "exec": 39 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 837, "published_frames": 917, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 836, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 22.925, "sha256": "e8f02e3f80449ca54a67ac6e365f60ce697ca68475e9d8d5ad20162c7313a56f", "source_sha256": { "third_person.mp4": "9819be7d7d915d6f1497d9494abc6781afb76beb4f0eee13d95756e8f49cfb19", "wrist.mp4": "d4f9827efe589d67a1897762834c2df2b56ecf7f7292a8b15355106f1117d6e4" }, "all_frames_compared": 837, "minimum_frame_psnr_db": 40.15954932563524, "maximum_frame_rgb_mae": 1.6357674598693848, "decode_ok": true, "pts_verified": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 838, "captured_samples": 838, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 837, "end_time_s": 83.64999999999739, "error": null, "experimental": true, "fps": 10, "overflow_policy": "bounded_backpressure", "received_samples": 838, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,678 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "recording": "\u4f7f\u7528\u66f4\u65b0\u540e\u7684 stepped \u5f55\u5236\u961f\u5217\u91cd\u65b0\u6267\u884c\uff1b\u6e90\u91c7\u6837\u4e22\u5931\u4e3a 0\u3002\u539f\u59cb\u56de\u5408\u53ca\u5176\u539f\u751f\u5224\u5b9a\u5b8c\u6574\u4fdd\u7559\u3002", "native_goal_scope": "\u539f\u751f\u6210\u529f\u6761\u4ef6\u4ec5\u68c0\u67e5\u76ee\u6807\u4f4d\u7f6e\uff0f\u63a5\u89e6\u5173\u7cfb\uff1b\u771f\u5b9e\u7ec8\u5e27\u4ecd\u663e\u793a\u5939\u6301\u3002\u539f\u751f\u6761\u4ef6\u4e0d\u8981\u6c42\u677e\u624b\u6216\u7a33\u5b9a\u843d\u4f4d\uff0c\u6b64\u5904\u4fdd\u7559\u539f\u751f\u901a\u8fc7\u5224\u5b9a\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "README.md", "src", "tasks", "tests", "docs", "Makefile" ], "content_sha256": "635adce00c840c49aac560ecdb0425a3a45ff8b4804b0620cca45e158bf1916f", "dirty": true, "revision": "f1935004c2fb23501b937cd29b826f69a06214b2", "runtime_snapshot_content_sha256": "635adce00c840c49aac560ecdb0425a3a45ff8b4804b0620cca45e158bf1916f", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/RLE-Bench-inhouse", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse", "live_content_sha256": "bbd03a94ca5776307435b6ed81c0f935a17f836b9ee80770069b58162d5e7e8f", "snapshot_mode": "Current workspace plus owner-only diagnostic configuration; instruction unchanged." }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "b5e31f051d55e015746e645939e4cbcbbdc44ec111593ef2711c5360900d7768", "dirty": true, "revision": "612c1528c92065b8f2254a841595e65664dc957d", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/RoboEnv", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "snapshot": "/shared/evaluations/roboenv-main-media-repair-20261010T191800Z/sources/kinex", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task02-09-libero-10-09-codex-seed0-recording-replacement-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 1, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 6, "concurrency_note": "Six authorized fresh repair and diagnostic episodes; idle GPUs only.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "recording-replacement", "measured_images": { "agent": "sha256:442b190234fb474b7ac7a1f0e03c268be10afc773a829c23bf421f8373f70dde", "task": "sha256:43e8b22eabf2f490bb210e6f13663bc6e5f49cc65be67174edf268d03cc41f6d" }, "session_original_sha256": "079769f3340d9083683e927b402ea18ee307e6c8b70d9833851cff45de20b978", "protocol_sha256": "acc9470d622733def9d480c2fb756b1724249077e1ad1f73cf80967246cabf7a", "replaced_job": "task02-09-libero-10-09-codex-seed0-attempt01" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/panda_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/libero_control.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/09/seed-0/resources/memos/libero_control.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 91, "observed_images": 37, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task02-10-seed0-formal", "task_key": "task02/10", "family": "task02", "slot": "10", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1210, "success": true, "termination": "success" }, "steps": 1210, "simulation_time_s": null, "wall_time_s": 399.959252, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "put the yellow and white mug in the microwave and close it", "instruction": "put the yellow and white mug in the microwave and close it", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9540138123860797, "cache_reported_input_tokens": 1349079, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1349079, "cached_input_tokens": 1287040, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1349079, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1287040, "known_input_tokens": 1349079, "known_output_tokens": 10556, "known_reasoning_output_tokens": 4068, "output_tokens": 10556, "reasoning_output_tokens": 4068, "reasoning_reported_output_tokens": 10556, "reported_responses": { "cache_reported_input_tokens": 39, "cache_write_input_tokens": 39, "cache_write_reported_input_tokens": 39, "cached_input_tokens": 39, "input_tokens": 39, "output_tokens": 39, "reasoning_output_tokens": 39, "reasoning_reported_output_tokens": 39 }, "response_count": 39, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 62039, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 38, "model_tool_calls_by_name": { "exec": 38 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1440, "height": 720, "native_frames": 603, "published_frames": 683, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 602, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 17.075, "sha256": "f19ef0619ee1a49d549f7862e2d95c39fb44eb7c8e2517972372986ce9906314", "source_sha256": { "third_person.mp4": "777c72c592a083ab831f8f8291b1cff9af2d4092006ca7b674e2e579c31d4f99", "wrist.mp4": "6d4a21aca2ea442709c71c63108875e9ac00f46a660ae4271e3828d9d985f875" }, "all_frames_compared": 603, "minimum_frame_psnr_db": 41.572665775005014, "maximum_frame_rgb_mae": 1.422065019607544, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 604, "captured_samples": 604, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 603, "end_time_s": 60.249999999998714, "error": null, "experimental": true, "fps": 10, "received_samples": 604, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 720 }, { "fov_y": 45.0, "height": 720, "name": "wrist", "pose": null, "source": "wrist", "width": 720 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,210 / 6,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "edd9d6bdc67136367a15c34949b94cf1bf11ab5d8454e74fd532076feb8032b1", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task02-10-libero-10-10-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 7, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 20, "concurrency_note": "One initial canary; then all remaining nineteen tasks launched concurrently under a twenty-task admission cap.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:4897d53efd57aea35b9c9ad36d3f29f819cedd5974e9c3f7b02775579a884922" }, "session_original_sha256": "aade80c22b44e7725c819da3487f588cabf244de9f7e94ef28d0d446d50a895a", "protocol_sha256": "67091e2f8027e0c35cabd7bed5126858b5ff9603ccb55d40bccc34bb4b005d61" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/native/evidence/episode/evidence/final-observation.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/panda_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/resources/tools/panda_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/libero_panda.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task02/10/seed-0/resources/memos/libero_panda.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 88, "observed_images": 42, "tool_errors": 2 }, "selected_for_formal_metrics": true }, { "id": "task03-01-seed0-formal", "task_key": "task03/01", "family": "task03", "slot": "01", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 803, "success": true, "termination": "success" }, "steps": 803, "simulation_time_s": null, "wall_time_s": 274.918609, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "use the left arm to grasp the red block on the table, handover it to the right arm and place it on the blue pad", "instruction": "use the left arm to grasp the red block on the table, handover it to the right arm and place it upright on the blue pad", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9529955328334399, "cache_reported_input_tokens": 640003, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 640003, "cached_input_tokens": 609920, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 640003, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 609920, "known_input_tokens": 640003, "known_output_tokens": 6267, "known_reasoning_output_tokens": 1323, "output_tokens": 6267, "reasoning_output_tokens": 1323, "reasoning_reported_output_tokens": 6267, "reported_responses": { "cache_reported_input_tokens": 22, "cache_write_input_tokens": 22, "cache_write_reported_input_tokens": 22, "cached_input_tokens": 22, "input_tokens": 22, "output_tokens": 22, "reasoning_output_tokens": 22, "reasoning_reported_output_tokens": 22 }, "response_count": 22, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 30083, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 21, "model_tool_calls_by_name": { "exec": 21 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 2880, "height": 720, "native_frames": 322, "published_frames": 402, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 321, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 10.05, "sha256": "88c31bda9ccd18b48a689cb05de7ed1ec2f0060565f686a1584790cabeb7266e", "source_sha256": { "third_person.mp4": "91a39898808effe72a9dc268897a11e2b8d4881f5fc786d3ca465a94b49ace41", "left_wrist.mp4": "eb123dd3ab9557d8e64d47407121e52a9f1deca0c895f583a65874eee46a39d1", "right_wrist.mp4": "1580ee3fe4b1f43c1c38066f3c21eefb170564bfa56b7f199d8bed459024071a" }, "all_frames_compared": 322, "minimum_frame_psnr_db": 43.653306171640274, "maximum_frame_rgb_mae": 1.2375693321228027, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 322, "captured_samples": 322, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 322, "end_time_s": 32.120001525618136, "error": null, "experimental": true, "fps": 10, "received_samples": 322, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 803 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "466e4e191ffe285cb4a77711398cf40108a42bfd83251f4cda118c2fcd85b655", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task03-01-handover-block-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 1, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 10, "concurrency_note": "Nine authorized RoboTwin tasks admitted by observed GPU capacity; Lift pot deferred by the user.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:0aa9c31b030c27cbd33e14dd41be33c0ff08438f044da3c4836535582fc7ca87" }, "session_original_sha256": "ae2f86a18c94245d0d3f1ebc2785c9f9d5e57a1cd21cea6944fbadb8004b083f", "protocol_sha256": "ad98ebf78ce3849d130c3fe4cf620520d1f7e5cfa6ef852f901223e0ffea50fd" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/media-validation.json", "native_episode": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/native/evidence/episode/evidence/native-episode.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/aloha.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/resources/tools/aloha.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/aloha_handover.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/01/seed-0/resources/memos/aloha_handover.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 52, "observed_images": 14, "tool_errors": 2 }, "selected_for_formal_metrics": true }, { "id": "task03-02-seed0-formal", "task_key": "task03/02", "family": "task03", "slot": "02", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 776, "success": true, "termination": "success" }, "steps": 776, "simulation_time_s": null, "wall_time_s": 447.848384, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "use both arms to pick up the two shoes on the table and put them in the shoebox, with the shoe tip pointing to the left", "instruction": "use both arms to pick up the two shoes on the table and put them flat in the shoebox, with the shoe tips pointing to the left. Put the shoe initially on the left in the front half (closer to the robot), and the other shoe in the back half. Release both shoes and withdraw the open grippers.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9590275594676726, "cache_reported_input_tokens": 1106988, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1106988, "cached_input_tokens": 1061632, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1106988, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1061632, "known_input_tokens": 1106988, "known_output_tokens": 9915, "known_reasoning_output_tokens": 3875, "output_tokens": 9915, "reasoning_output_tokens": 3875, "reasoning_reported_output_tokens": 9915, "reported_responses": { "cache_reported_input_tokens": 31, "cache_write_input_tokens": 31, "cache_write_reported_input_tokens": 31, "cached_input_tokens": 31, "input_tokens": 31, "output_tokens": 31, "reasoning_output_tokens": 31, "reasoning_reported_output_tokens": 31 }, "response_count": 31, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 45356, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 30, "model_tool_calls_by_name": { "exec": 30 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 2880, "height": 720, "native_frames": 311, "published_frames": 391, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 310, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 9.775, "sha256": "dd736ea02fcfbc005655e27beef38ae7e6f7d1cb0cacbe65039b26e8ba0ddc77", "source_sha256": { "third_person.mp4": "ac9f30444c0dfdde14affb3887762664bf61d40c1f82158b33e7c9921c2ce255", "left_wrist.mp4": "557a30229ae662000a8a5ace6243d3001841aa9fd31a5973baf759cc3049ca9f", "right_wrist.mp4": "3e290c41e7f43ba29691d5ffe042c3c1e3eae52feefe4fda0d780eb44d422206" }, "all_frames_compared": 311, "minimum_frame_psnr_db": 41.35740377565105, "maximum_frame_rgb_mae": 1.5965594053268433, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 312, "captured_samples": 312, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 311, "end_time_s": 31.04000147432089, "error": null, "experimental": true, "fps": 10, "received_samples": 312, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 776 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "466e4e191ffe285cb4a77711398cf40108a42bfd83251f4cda118c2fcd85b655", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task03-02-place-dual-shoes-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 2, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 10, "concurrency_note": "Nine authorized RoboTwin tasks admitted by observed GPU capacity; Lift pot deferred by the user.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:0aa9c31b030c27cbd33e14dd41be33c0ff08438f044da3c4836535582fc7ca87" }, "session_original_sha256": "95a4785e90a1ed43aa7cd364bbe6db4c07d801c6d3160e9327f2311d4e8f265a", "protocol_sha256": "6ba3948ba616c4ca3d353bff11cd576ebc0c5187c28471204be413fa95999676" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/media-validation.json", "native_episode": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/native/evidence/episode/evidence/native-episode.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/aloha_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/resources/tools/aloha_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/aloha_shoe_placement.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/02/seed-0/resources/memos/aloha_shoe_placement.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 72, "observed_images": 19, "tool_errors": 2 }, "selected_for_formal_metrics": true }, { "id": "task03-03-seed0-formal", "task_key": "task03/03", "family": "task03", "slot": "03", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2790, "success": false, "termination": "stopped" }, "steps": 2790, "simulation_time_s": null, "wall_time_s": 995.739538, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "use arms to grab the bottles and put them into the dustbin to the left of the table", "instruction": "use arms to grab the bottles and put them into the dustbin to the left of the table", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9849180997132441, "cache_reported_input_tokens": 3977947, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 3977947, "cached_input_tokens": 3917952, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 3977947, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 3917952, "known_input_tokens": 3977947, "known_output_tokens": 19047, "known_reasoning_output_tokens": 8202, "output_tokens": 19047, "reasoning_output_tokens": 8202, "reasoning_reported_output_tokens": 19047, "reported_responses": { "cache_reported_input_tokens": 97, "cache_write_input_tokens": 97, "cache_write_reported_input_tokens": 97, "cached_input_tokens": 97, "input_tokens": 97, "output_tokens": 97, "reasoning_output_tokens": 97, "reasoning_reported_output_tokens": 97 }, "response_count": 97, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 59995, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 96, "model_tool_calls_by_name": { "exec": 96 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 2880, "height": 720, "native_frames": 1117, "published_frames": 1197, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 1116, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 29.925, "sha256": "8f931f2e72b7ad113113be6cf16ef9786a13e93edafc580ee4ee7592e520a192", "source_sha256": { "third_person.mp4": "1eb56cf62f067c1470e1d2d635fa88f61d16739169642b6cc975d4c538f1485f", "left_wrist.mp4": "735241b382f238ea4910e2041c5a5ce7d4aa7c099f59dba7845270b373abca4d", "right_wrist.mp4": "65a3277c183df0a04660fe5c379f54a08969a93a25639fa796121fb743222709" }, "all_frames_compared": 1117, "minimum_frame_psnr_db": 41.02636410816193, "maximum_frame_rgb_mae": 1.6107410192489624, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 1117, "captured_samples": 1117, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1117, "end_time_s": 111.60000530071557, "error": null, "experimental": true, "fps": 10, "received_samples": 1117, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,790 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "466e4e191ffe285cb4a77711398cf40108a42bfd83251f4cda118c2fcd85b655", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task03-03-put-bottles-dustbin-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 6, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 10, "concurrency_note": "Nine authorized RoboTwin tasks admitted by observed GPU capacity; Lift pot deferred by the user.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:0aa9c31b030c27cbd33e14dd41be33c0ff08438f044da3c4836535582fc7ca87" }, "session_original_sha256": "6b80c54c95cac5e116f3c1d4be935d1ee36d64f802fccb6d755bd768c560c3cc", "protocol_sha256": "6f2e06434fc34ac77c80c6ab5f307ef627ef25d814317530a0d122781a52346b" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/media-validation.json", "native_episode": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/native/evidence/episode/evidence/native-episode.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/robot_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/resources/tools/robot_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robotwin_aloha.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/03/seed-0/resources/memos/robotwin_aloha.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 210, "observed_images": 37, "tool_errors": 2 }, "selected_for_formal_metrics": true }, { "id": "task03-04-seed0-formal", "task_key": "task03/04", "family": "task03", "slot": "04", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1277, "success": false, "termination": "stopped" }, "steps": 1277, "simulation_time_s": null, "wall_time_s": 556.498658, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "simultaneously pick up the scanner and the object with separate arms, then scan the object", "instruction": "Pick up the scanner and the object simultaneously with separate arms. Hold the scanner\u2019s scanning face close to and directly facing the object\u2019s center, keeping both grippers closed around the items.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9479087578186759, "cache_reported_input_tokens": 1663485, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1663485, "cached_input_tokens": 1576832, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1663485, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1576832, "known_input_tokens": 1663485, "known_output_tokens": 11054, "known_reasoning_output_tokens": 3714, "output_tokens": 11054, "reasoning_output_tokens": 3714, "reasoning_reported_output_tokens": 11054, "reported_responses": { "cache_reported_input_tokens": 46, "cache_write_input_tokens": 46, "cache_write_reported_input_tokens": 46, "cached_input_tokens": 46, "input_tokens": 46, "output_tokens": 46, "reasoning_output_tokens": 46, "reasoning_reported_output_tokens": 46 }, "response_count": 46, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 86653, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 45, "model_tool_calls_by_name": { "exec": 45 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 2880, "height": 720, "native_frames": 511, "published_frames": 591, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 510, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 14.775, "sha256": "778a8c753efe2ad095338901a02b7e775ad1bababe1174d02e8d31be12947880", "source_sha256": { "third_person.mp4": "3df3f5832c8dc7628929bc203e4648e052d626285c4476318cc275d0dda8267c", "left_wrist.mp4": "97b442c429b2f8c647225ec8dc9fdf1eb60d673e3aa0c155d66440ec1b4442b7", "right_wrist.mp4": "1128f89ae973b39378855d9775f85ce476e63d6ae36a2da8dbcd8d5dc9194267" }, "all_frames_compared": 511, "minimum_frame_psnr_db": 42.14528928367494, "maximum_frame_rgb_mae": 1.4536242485046387, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 512, "captured_samples": 512, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 511, "end_time_s": 51.08000242616981, "error": null, "experimental": true, "fps": 10, "received_samples": 512, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,277 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "466e4e191ffe285cb4a77711398cf40108a42bfd83251f4cda118c2fcd85b655", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task03-04-scan-object-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 5, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 10, "concurrency_note": "Nine authorized RoboTwin tasks admitted by observed GPU capacity; Lift pot deferred by the user.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:0aa9c31b030c27cbd33e14dd41be33c0ff08438f044da3c4836535582fc7ca87" }, "session_original_sha256": "0109f494d4fe441442d4a8102f081851ace8cb56d2f70300b66ae6d6b07e25c6", "protocol_sha256": "80bf39a41667e4718ca9014cb14c7b3825863df9a915cee99415aad8ccf711fd" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/media-validation.json", "native_episode": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/native/evidence/episode/evidence/native-episode.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/aloha.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/resources/tools/aloha.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/aloha_scanning.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/04/seed-0/resources/memos/aloha_scanning.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 104, "observed_images": 27, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task03-05-seed0-formal", "task_key": "task03/05", "family": "task03", "slot": "05", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 3263, "success": false, "termination": "stopped" }, "steps": 3263, "simulation_time_s": null, "wall_time_s": 1093.38385, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "stack the three bowls on top of each other", "instruction": "nest the three bowls into one compact, vertically aligned stack resting on the table. Release the bowls and leave both grippers open.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9794733490044869, "cache_reported_input_tokens": 3072737, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 3072737, "cached_input_tokens": 3009664, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 3072737, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 3009664, "known_input_tokens": 3072737, "known_output_tokens": 20636, "known_reasoning_output_tokens": 8283, "output_tokens": 20636, "reasoning_output_tokens": 8283, "reasoning_reported_output_tokens": 20636, "reported_responses": { "cache_reported_input_tokens": 71, "cache_write_input_tokens": 71, "cache_write_reported_input_tokens": 71, "cached_input_tokens": 71, "input_tokens": 71, "output_tokens": 71, "reasoning_output_tokens": 71, "reasoning_reported_output_tokens": 71 }, "response_count": 71, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 63073, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 70, "model_tool_calls_by_name": { "exec": 70 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 2880, "height": 720, "native_frames": 1306, "published_frames": 1386, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 1305, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 34.65, "sha256": "6aa91f96033c2ca5dc6808f00886cd42b7678aa5f4b44fc6d540726de54a9396", "source_sha256": { "third_person.mp4": "b4730790d901ccf94d27666ff66a0fb682697ceec6e9d6debba077980819addf", "left_wrist.mp4": "24747433a8e41150d6de1ead4bc0cd4481b9ea7c2ad95337e154eac17985466d", "right_wrist.mp4": "8a0780725fad342d9826f457667883309036f9548678cb9fd656eaecc4dd496a" }, "all_frames_compared": 1306, "minimum_frame_psnr_db": 43.37254990881951, "maximum_frame_rgb_mae": 1.3213776350021362, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 1306, "captured_samples": 1306, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1306, "end_time_s": 130.52000619936734, "error": null, "experimental": true, "fps": 10, "received_samples": 1306, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 3,263 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "466e4e191ffe285cb4a77711398cf40108a42bfd83251f4cda118c2fcd85b655", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task03-05-stack-bowls-three-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 3, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 10, "concurrency_note": "Nine authorized RoboTwin tasks admitted by observed GPU capacity; Lift pot deferred by the user.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:0aa9c31b030c27cbd33e14dd41be33c0ff08438f044da3c4836535582fc7ca87" }, "session_original_sha256": "c7d87b44c1a2eb7b1662b789b37a41316c2cab074fdcb4880b6d4afa18cceaeb", "protocol_sha256": "e2de18f5e058a9b288accd36917ebbdd8cb5b957bee0cff2637d8a732df39495" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/media-validation.json", "native_episode": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/native/evidence/episode/evidence/native-episode.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/aloha.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/resources/tools/aloha.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robotwin_aloha_bowls.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/05/seed-0/resources/memos/robotwin_aloha_bowls.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 157, "observed_images": 48, "tool_errors": 1 }, "selected_for_formal_metrics": true }, { "id": "task03-06-seed0-formal", "task_key": "task03/06", "family": "task03", "slot": "06", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 905, "success": true, "termination": "success" }, "steps": 905, "simulation_time_s": null, "wall_time_s": 274.918247, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "build a three-block stack at the center by placing the red block first, the green block on red, and the blue block on green", "instruction": "build a three-block stack at the center by placing the red block first, the green block on red, and the blue block on green", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.961291401007713, "cache_reported_input_tokens": 921294, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 921294, "cached_input_tokens": 885632, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 921294, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 885632, "known_input_tokens": 921294, "known_output_tokens": 6531, "known_reasoning_output_tokens": 1389, "output_tokens": 6531, "reasoning_output_tokens": 1389, "reasoning_reported_output_tokens": 6531, "reported_responses": { "cache_reported_input_tokens": 28, "cache_write_input_tokens": 28, "cache_write_reported_input_tokens": 28, "cached_input_tokens": 28, "input_tokens": 28, "output_tokens": 28, "reasoning_output_tokens": 28, "reasoning_reported_output_tokens": 28 }, "response_count": 28, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 35662, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 27, "model_tool_calls_by_name": { "exec": 27 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 2880, "height": 720, "native_frames": 363, "published_frames": 443, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 362, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 11.075, "sha256": "60bb450da8e4e4bb9c054e623b4c1c1a70d4b2c2a6c443a26a30d1cf44ac1e6c", "source_sha256": { "third_person.mp4": "24f1e9175b6f4a1f58156ab4a8b706be2ebd00f02ba0c3594a692bc81d911fbc", "left_wrist.mp4": "270cf4333975c161faafe96de7fc1cc8a32907a1f12a54feb209b922b3b9ba04", "right_wrist.mp4": "8a6f9fe23b2e5282b225736a93d5a2611d4ab505db2b82bd506e1805cd0a22d2" }, "all_frames_compared": 363, "minimum_frame_psnr_db": 43.69486927411482, "maximum_frame_rgb_mae": 1.2050166130065918, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 363, "captured_samples": 363, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 363, "end_time_s": 36.20000171940774, "error": null, "experimental": true, "fps": 10, "received_samples": 363, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 905 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "466e4e191ffe285cb4a77711398cf40108a42bfd83251f4cda118c2fcd85b655", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task03-06-stack-blocks-three-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 7, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 10, "concurrency_note": "Nine authorized RoboTwin tasks admitted by observed GPU capacity; Lift pot deferred by the user.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:0aa9c31b030c27cbd33e14dd41be33c0ff08438f044da3c4836535582fc7ca87" }, "session_original_sha256": "d20b8a0f11a8fe887af95eb1890985e7d47298068a422bf9f6ee37c9ca5e69bb", "protocol_sha256": "fb73feaa0822af598381331e7f3add1ee2f53b407bc3c4214783b9cf05e75533" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/media-validation.json", "native_episode": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/native/evidence/episode/evidence/native-episode.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/robotwin_motion.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/resources/tools/robotwin_motion.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robotwin-aloha.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/06/seed-0/resources/memos/robotwin-aloha.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 65, "observed_images": 10, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task03-07-seed0-formal", "task_key": "task03/07", "family": "task03", "slot": "07", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 870, "success": true, "termination": "success" }, "steps": 870, "simulation_time_s": null, "wall_time_s": 423.513054, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Use left arm to pick the mug on the table, rotate the mug and put the mug down in the middle of the table, use the right arm to pick the mug and hang it onto the rack.", "instruction": "Use the left arm to pick up the mug on the table, rotate it and put it down in the middle of the table, then use the right arm to hang the mug by its handle on the rack's peg. Seat the handle near the middle of the peg and open the right gripper to leave the mug hanging.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9695526652578946, "cache_reported_input_tokens": 1343960, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1343960, "cached_input_tokens": 1303040, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1343960, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1303040, "known_input_tokens": 1343960, "known_output_tokens": 10223, "known_reasoning_output_tokens": 3099, "output_tokens": 10223, "reasoning_output_tokens": 3099, "reasoning_reported_output_tokens": 10223, "reported_responses": { "cache_reported_input_tokens": 39, "cache_write_input_tokens": 39, "cache_write_reported_input_tokens": 39, "cached_input_tokens": 39, "input_tokens": 39, "output_tokens": 39, "reasoning_output_tokens": 39, "reasoning_reported_output_tokens": 39 }, "response_count": 39, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 40920, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 38, "model_tool_calls_by_name": { "exec": 38 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 2880, "height": 720, "native_frames": 349, "published_frames": 429, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 348, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 10.725, "sha256": "fc2eae87e69acc3bba2b68931219731f2a812e3c2420b20e3b7a6bdf96525595", "source_sha256": { "third_person.mp4": "eb5fec2c4060f3d1ec830549e8a91bf73d291095ecba5fb5b721adaaa704c2ca", "left_wrist.mp4": "44eb5c467cdc76ec3af06c062beb07f0e9b82ed7e118d702082ce8c761ad271f", "right_wrist.mp4": "18622e8e574ec482fc3130d7f4d14248def32cd2625687391aeb2b2c0709f2ea" }, "all_frames_compared": 349, "minimum_frame_psnr_db": 43.8473311124103, "maximum_frame_rgb_mae": 1.1971997022628784, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 349, "captured_samples": 349, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 349, "end_time_s": 34.800001652911305, "error": null, "experimental": true, "fps": 10, "received_samples": 349, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 870 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "466e4e191ffe285cb4a77711398cf40108a42bfd83251f4cda118c2fcd85b655", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task03-07-hanging-mug-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 6, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 10, "concurrency_note": "Nine authorized RoboTwin tasks admitted by observed GPU capacity; Lift pot deferred by the user.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:0aa9c31b030c27cbd33e14dd41be33c0ff08438f044da3c4836535582fc7ca87" }, "session_original_sha256": "a50d9dce3a5c853f48406ef763a12de7ad3756a55d4afdf7717ba3f48300faba", "protocol_sha256": "9f648bb671b982843084f745100d3537e63eec4ee492747082c29eb3c34b9ec7" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/media-validation.json", "native_episode": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/native/evidence/episode/evidence/native-episode.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/robot_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/resources/tools/robot_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robotwin-hanging-mug.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/07/seed-0/resources/memos/robotwin-hanging-mug.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 89, "observed_images": 19, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task03-08-seed0-formal", "task_key": "task03/08", "family": "task03", "slot": "08", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 433, "success": true, "termination": "success" }, "steps": 433, "simulation_time_s": null, "wall_time_s": 250.248717, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "use one arm to hold the object and the other arm to open the cabinet drawer, then place the object inside", "instruction": "use one arm to hold the object and the other arm to open the cabinet drawer, then place the object inside", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9536282677980344, "cache_reported_input_tokens": 683067, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 683067, "cached_input_tokens": 651392, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 683067, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 651392, "known_input_tokens": 683067, "known_output_tokens": 5483, "known_reasoning_output_tokens": 994, "output_tokens": 5483, "reasoning_output_tokens": 994, "reasoning_reported_output_tokens": 5483, "reported_responses": { "cache_reported_input_tokens": 22, "cache_write_input_tokens": 22, "cache_write_reported_input_tokens": 22, "cached_input_tokens": 22, "input_tokens": 22, "output_tokens": 22, "reasoning_output_tokens": 22, "reasoning_reported_output_tokens": 22 }, "response_count": 22, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 31675, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 21, "model_tool_calls_by_name": { "exec": 21 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 2880, "height": 720, "native_frames": 174, "published_frames": 254, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 173, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 6.35, "sha256": "6d075fe6a10d81076cfef169c5e2b260dbcb630a9a82320c8129bb48a5ac461e", "source_sha256": { "third_person.mp4": "279aab3e81805c5f093b6fdb3bdc953bdefbc0f0b2736c62ce80b87a30ed1ba0", "left_wrist.mp4": "e8ac3e566cbfc85101f3a346af06810fab38bf518b5903890f7ead212efe5f82", "right_wrist.mp4": "c879040fcec1e99c9a28f7317aaf58d8c72e3dcd5c03f7e6fe7e0636abbf187e" }, "all_frames_compared": 174, "minimum_frame_psnr_db": 41.85481030674896, "maximum_frame_rgb_mae": 1.5419611930847168, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 174, "captured_samples": 174, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 174, "end_time_s": 17.320000822655857, "error": null, "experimental": true, "fps": 10, "received_samples": 174, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 433 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "466e4e191ffe285cb4a77711398cf40108a42bfd83251f4cda118c2fcd85b655", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task03-08-put-object-cabinet-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 4, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 10, "concurrency_note": "Nine authorized RoboTwin tasks admitted by observed GPU capacity; Lift pot deferred by the user.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:0aa9c31b030c27cbd33e14dd41be33c0ff08438f044da3c4836535582fc7ca87" }, "session_original_sha256": "fd1561a2b5e61299f77e24123e50e42fe8af3903a938f643804dbc8d39a239ca", "protocol_sha256": "7010fe9319e6d7eb43c3c32683da9925dfb429340fb89866aaa38621945ae8d2" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/media-validation.json", "native_episode": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/native/evidence/episode/evidence/native-episode.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/aloha_motion.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/resources/tools/aloha_motion.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robotwin_aloha.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/08/seed-0/resources/memos/robotwin_aloha.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 53, "observed_images": 11, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task03-09-seed0-formal", "task_key": "task03/09", "family": "task03", "slot": "09", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1097, "success": true, "termination": "success" }, "steps": 1097, "simulation_time_s": null, "wall_time_s": 365.486883, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "there are three blocks on the table, the color of the blocks is random, move the blocks to the center of the table, and arrange them from largest to smallest, from left to right", "instruction": "there are three blocks on the table, the color of the blocks is random, move the blocks to the center of the table, and arrange them in a left-to-right row from largest to smallest", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9593260437553782, "cache_reported_input_tokens": 1228329, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1228329, "cached_input_tokens": 1178368, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1228329, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1178368, "known_input_tokens": 1228329, "known_output_tokens": 8401, "known_reasoning_output_tokens": 2418, "output_tokens": 8401, "reasoning_output_tokens": 2418, "reasoning_reported_output_tokens": 8401, "reported_responses": { "cache_reported_input_tokens": 34, "cache_write_input_tokens": 34, "cache_write_reported_input_tokens": 34, "cached_input_tokens": 34, "input_tokens": 34, "output_tokens": 34, "reasoning_output_tokens": 34, "reasoning_reported_output_tokens": 34 }, "response_count": 34, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 49961, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 33, "model_tool_calls_by_name": { "exec": 33 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 2880, "height": 720, "native_frames": 439, "published_frames": 519, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 438, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 12.975, "sha256": "f7d9cda13ba0948ba0ac55d34c9a415a652cf41b13fc8a4ffcf9bd7427e20429", "source_sha256": { "third_person.mp4": "fd8c3dc8125ce87e28c52e4a42f43a7274c7bf0171f3ab02fa4d68dee9bbd7fc", "left_wrist.mp4": "f17cc82c7b77fbee451dd517578f60baa8f37e444231ad9a6f4dbf0a56b79b07", "right_wrist.mp4": "fa0e79338b9a5927df3bde38cc33ff7a6789207fae173175700856038aa67bb7" }, "all_frames_compared": 439, "minimum_frame_psnr_db": 43.48948953380447, "maximum_frame_rgb_mae": 1.4038331508636475, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 440, "captured_samples": 440, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 439, "end_time_s": 43.88000208418816, "error": null, "experimental": true, "fps": 10, "received_samples": 440, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,097 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "466e4e191ffe285cb4a77711398cf40108a42bfd83251f4cda118c2fcd85b655", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "dirty": true, "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task03-09-blocks-ranking-size-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 0, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 10, "concurrency_note": "Nine authorized RoboTwin tasks admitted by observed GPU capacity; Lift pot deferred by the user.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:5deb0795c2b18162bbcd75531b287469aabb0078db50a48bfe650ecf45868859", "task": "sha256:0aa9c31b030c27cbd33e14dd41be33c0ff08438f044da3c4836535582fc7ca87" }, "session_original_sha256": "706d2bd966b3b44374a8ab2d84b40e788b0300fe35e624b2ac8979ff38a9234a", "protocol_sha256": "f2f18aacd79fb816308cd5e0ea1962b42bd5d82e4ee624b2b424b7cab9b0357b" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/media-validation.json", "native_episode": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/native/evidence/episode/evidence/native-episode.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/aloha.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/resources/tools/aloha.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/aloha_manipulation.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/09/seed-0/resources/memos/aloha_manipulation.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 77, "observed_images": 9, "tool_errors": 5 }, "selected_for_formal_metrics": true }, { "id": "task03-10-seed0-formal", "task_key": "task03/10", "family": "task03", "slot": "10", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 648, "success": true, "termination": "success" }, "steps": 648, "simulation_time_s": null, "wall_time_s": 344.422948, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "use BOTH!!! arms to lift the pot", "instruction": "Use both arms to lift the pot well clear of the tabletop, grasping the left handle with the left gripper and the right handle with the right gripper. Keep the pot upright and keep each gripper centered on its handle while holding the pot up.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9595922025816601, "cache_reported_input_tokens": 984018, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 984018, "cached_input_tokens": 944256, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 984018, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 944256, "known_input_tokens": 984018, "known_output_tokens": 8009, "known_reasoning_output_tokens": 1896, "output_tokens": 8009, "reasoning_output_tokens": 1896, "reasoning_reported_output_tokens": 8009, "reported_responses": { "cache_reported_input_tokens": 29, "cache_write_input_tokens": 29, "cache_write_reported_input_tokens": 29, "cached_input_tokens": 29, "input_tokens": 29, "output_tokens": 29, "reasoning_output_tokens": 29, "reasoning_reported_output_tokens": 29 }, "response_count": 29, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 39762, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 28, "model_tool_calls_by_name": { "exec": 28 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-camera-media/3", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 2880, "height": 720, "native_frames": 260, "published_frames": 340, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 259, "terminal_hold_s": 2, "source_dropped_samples": 0, "duration_s": 8.5, "sha256": "0a3a1378e718b0fe70098144f0e91a86aa5f13b020bfef365760651536c8d171", "source_sha256": { "third_person.mp4": "e7d52460db2ce31fb4a78d5f0feeb0e74a9f11533d0470357865e2a535125c33", "left_wrist.mp4": "8bdb28ba49a0dd185ae4df58a2cf5397a0c36f7ba2b0eae9b1e8cc31df818cec", "right_wrist.mp4": "6fc2b4865a2686bf583c07f61f0b8779b81c76b03e5b84bc2b4f2eb551ca0ffc" }, "all_frames_compared": 260, "minimum_frame_psnr_db": 42.81118120345254, "maximum_frame_rgb_mae": 1.3442394733428955, "decode_ok": true, "frame_mapping": "Each native index once, followed by copies of native index N-1.", "scope": "Original native recording; no simulation replay, rerender or invented frames.", "recording": { "accepted_samples": 260, "captured_samples": 260, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 260, "end_time_s": 25.920001231133938, "error": null, "experimental": true, "fps": 10, "received_samples": 260, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "pts_verified": true }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\uff0c\u7ec8\u6001\u590d\u6838\u7684\u56db\u9879\u6761\u4ef6\u5747\u901a\u8fc7\u3002", "duration": "\u4f7f\u7528 648 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u8fbe\u5230\u539f\u751f\u6210\u529f\u6761\u4ef6\u540e\u81ea\u52a8\u7ed3\u675f\u3002", "geometry": "\u5de6\u53f3\u539f\u751f TCP \u5230\u628a\u624b\u7684\u8ddd\u79bb\u5206\u522b\u4e3a 1.006 cm \u548c 1.143 cm\uff0c\u5747\u5c0f\u4e8e 3 cm\u3002\u9505\u4f53\u9ad8\u5ea6\u4e3a 0.820365 m\uff0c\u76f4\u7acb\u8f74\u70b9\u79ef\u4e3a 0.999860\u3002", "protocol": "Stock Codex CLI 0.160.0\uff0cGPT-6 Astra high\uff1b\u4e0e\u672c\u6b21 Kinex \u4f7f\u7528\u76f8\u540c\u4eff\u771f\u955c\u50cf\u3001instruction\u3001seed 0 \u548c\u9884\u7b97\u3002\u5168\u65b0\u4f1a\u8bdd\uff0c\u65e0\u5bfc\u5165\u5de5\u5177\u6216\u5386\u53f2\u8f68\u8ff9\u3002", "evidence": "\u5c01\u5b58\u7ec8\u6001\u5728\u76f8\u540c\u539f\u751f\u5b9e\u73b0\u4e2d\u6062\u590d\u540e\uff0c\u72b6\u6001\u8bef\u5dee\u4e3a 0\uff1b\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002\u5355\u6b21 episode \u7ed3\u679c\uff0c\u4e0d\u4ee3\u8868\u591a seed \u6210\u529f\u7387\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "466e4e191ffe285cb4a77711398cf40108a42bfd83251f4cda118c2fcd85b655", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "1e2d5c0a8e2e82cf52b7dbd519f51851548bdc7621c48d15b78776c18032fb5f", "dirty": true, "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task03-10-lift-pot-codex-seed0-native-tcp-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 2, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 1, "concurrency_note": "One fresh lift-pot episode; an independent Kinex episode uses the same frozen simulator.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:2d034eff114ab578905e3ca50ce954c1cc628f71eca5267e94087380c57cc946", "task": "sha256:385e82afd6702e040d067ef7e38ae6ff34653217273e3586793723d88ad60f1f" }, "session_original_sha256": "5fae098b005c81999f7343dfce0a8f8d6d8cf3d82d9b74a34d7776b7ed78139b", "protocol_sha256": "23c4b22476372d9b7eedabe33380721f5a26f1ba4dd5b7057155c0abd56b3590" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/media-validation.json", "native_snapshot": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/native/evidence/episode/evidence/native-episode.json", "terminal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/native/evidence/episode/evidence/terminal.json", "terminal_checks": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/terminal-checks.json", "terminal_frame": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/terminal.jpg" }, "resources": [ { "name": "tools/aloha_motion.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/resources/tools/aloha_motion.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "skills/aloha-pot/SKILL.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/resources/skills/aloha-pot/SKILL.md", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/aloha-pot.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task03/10/seed-0/resources/memos/aloha-pot.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 67, "observed_images": 11, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task04-01-seed0-formal", "task_key": "task04/01", "family": "task04", "slot": "01", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.5, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 6884, "success": false, "termination": "stopped" }, "steps": 6884, "simulation_time_s": null, "wall_time_s": 2979.228092, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pick up two slices of bread, place them into the toaster, and press the lever down.", "instruction": "Place two bread slices upright in the toaster, one per slot, leaving the other two on the rack. Press the lever down, then return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9880169943603974, "cache_reported_input_tokens": 13262282, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 13262282, "cached_input_tokens": 13103360, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 13262282, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 13103360, "known_input_tokens": 13262282, "known_output_tokens": 42295, "known_reasoning_output_tokens": 22555, "output_tokens": 42295, "reasoning_output_tokens": 22555, "reasoning_reported_output_tokens": 42295, "reported_responses": { "cache_reported_input_tokens": 173, "cache_write_input_tokens": 173, "cache_write_reported_input_tokens": 173, "cached_input_tokens": 173, "input_tokens": 173, "output_tokens": 173, "reasoning_output_tokens": 173, "reasoning_reported_output_tokens": 173 }, "response_count": 173, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 158922, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 172, "model_tool_calls_by_name": { "exec": 172 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 68.85, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 2755, "captured_samples": 2755, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2754, "end_time_s": 275.35999999999325, "error": null, "experimental": true, "fps": 10, "received_samples": 2755, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "d41d9dfff8503e02484d73b64304f7f05b08f366156b969d5d4b32e55af35375", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 6,884 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "01-robodojo-make-toast-codex-seed0-attempt02", "attempt": 2, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "44c8a75c20315659d3feda7076c1d792afbfb94f31f1521511ac8d21ae32e78e", "protocol_sha256": "558b51d6786cd5ba0a989f7b2b872a3e37424dda668128a679113df86f67e43d" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/resources/tools/arx.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo-arx.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/01/seed-0/resources/memos/robodojo-arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 370, "observed_images": 76, "tool_errors": 6 }, "selected_for_formal_metrics": true }, { "id": "task04-02-seed0-formal", "task_key": "task04/02", "family": "task04", "slot": "02", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1642, "success": true, "termination": "success" }, "steps": 1642, "simulation_time_s": null, "wall_time_s": 677.076593, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Put car objects into the left basket, watch objects into the middle basket, and wooden_toy objects into the right basket, then reset the robot arm.", "instruction": "Put car objects into the left basket, watch objects into the middle basket, and wooden_toy objects into the right basket, then reset the robot arm.", "instruction_policy": "original_native", "usage": { "audit_complete": true, "cache_hit_rate": 0.9587609639851788, "cache_reported_input_tokens": 1667619, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1667619, "cached_input_tokens": 1598848, "cli_error_events": 0, "completed_turns": 1, "cost_usd": null, "input_tokens": 1667619, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1598848, "known_input_tokens": 1667619, "known_output_tokens": 9371, "known_reasoning_output_tokens": 2154, "output_tokens": 9371, "reasoning_output_tokens": 2154, "reasoning_reported_output_tokens": 9371, "reported_responses": { "cache_reported_input_tokens": 47, "cache_write_input_tokens": 47, "cache_write_reported_input_tokens": 47, "cached_input_tokens": 47, "input_tokens": 47, "output_tokens": 47, "reasoning_output_tokens": 47, "reasoning_reported_output_tokens": 47 }, "response_count": 47, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 68771, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 46, "model_tool_calls_by_name": { "exec": 46 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 16.4, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 658, "captured_samples": 658, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 657, "end_time_s": 65.67999999999907, "error": null, "experimental": true, "fps": 10, "received_samples": 658, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "d2cc80d1717aad863e7fd683f518d68db4444e678ce09f4fac1da1d6acd9a061", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,642 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "02-robodojo-classify-objects-by-language-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": null, "configuration": "original Codex defaults; completed result retained", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "27f2147aa3fca47f9366fbb8b04743dc91a21da1a7cb37e898b7fb255327bcdc", "protocol_sha256": "3af4e8c103ad2c73d236f4fa8afce82c78df7a6d0f34c6e7c4664d7a9b7ba30f" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/media-validation.json" }, "resources": [ { "name": "tools/manipulate.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/resources/tools/manipulate.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo-arx-x5.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/02/seed-0/resources/memos/robodojo-arx-x5.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 106, "observed_images": 18, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task04-03-seed0-formal", "task_key": "task04/03", "family": "task04", "slot": "03", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 5696, "success": false, "termination": "stopped" }, "steps": 5696, "simulation_time_s": null, "wall_time_s": 3731.88979, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Hang the headphones on the headphone stand, close the laptop, then place it into the vertical laptop stand.", "instruction": "Hang the headphones by the middle of their headband, aligned with the stand cradle so both earcups hang evenly below it. Close the laptop fully and seat it upright in its vertical stand. Release both objects and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9712139156884596, "cache_reported_input_tokens": 18189657, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 18189657, "cached_input_tokens": 17666048, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 18189657, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 17666048, "known_input_tokens": 18189657, "known_output_tokens": 45612, "known_reasoning_output_tokens": 24134, "output_tokens": 45612, "reasoning_output_tokens": 24134, "reasoning_reported_output_tokens": 45612, "reported_responses": { "cache_reported_input_tokens": 217, "cache_write_input_tokens": 217, "cache_write_reported_input_tokens": 217, "cached_input_tokens": 217, "input_tokens": 217, "output_tokens": 217, "reasoning_output_tokens": 217, "reasoning_reported_output_tokens": 217 }, "response_count": 217, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 523609, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 216, "model_tool_calls_by_name": { "exec": 216 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 56.95, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 2280, "captured_samples": 2280, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2279, "end_time_s": 227.83999999998895, "error": null, "experimental": true, "fps": 10, "received_samples": 2280, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "244a01435774684a435daf0ebc3858c5c750e36b4617039ed3e4ffc7e54f9093", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 5,696 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "03-robodojo-store-laptop-and-headphones-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": null, "configuration": "original Codex defaults; completed result retained", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "a7d435164afd78e6885e362c2f73d6794311358e6da05c467f520559bd3bdcd1", "protocol_sha256": "1ede5afa307a8048edacac6c0bed72eba2d894ed61887aefbaf2cd0cdbf903d5" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo_manipulation.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/03/seed-0/resources/memos/robodojo_manipulation.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 456, "observed_images": 81, "tool_errors": 8 }, "selected_for_formal_metrics": true }, { "id": "task04-04-seed0-formal", "task_key": "task04/04", "family": "task04", "slot": "04", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2184, "success": true, "termination": "success" }, "steps": 2184, "simulation_time_s": null, "wall_time_s": 870.408397, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Cover the blocks from left to right, remember their colors, then uncover them in the order: red, green, and blue.", "instruction": "Use the three cups to cover the blocks one at a time, from left to right. Remember the block colors. Once all three are covered, uncover them one at a time in this order: red, green, blue. Keep every cup upside down throughout, leave the blocks in their original positions, and return both arms to their starting poses when finished.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.974152547857263, "cache_reported_input_tokens": 2163308, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2163308, "cached_input_tokens": 2107392, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 2163308, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 2107392, "known_input_tokens": 2163308, "known_output_tokens": 9584, "known_reasoning_output_tokens": 2048, "output_tokens": 9584, "reasoning_output_tokens": 2048, "reasoning_reported_output_tokens": 9584, "reported_responses": { "cache_reported_input_tokens": 59, "cache_write_input_tokens": 59, "cache_write_reported_input_tokens": 59, "cached_input_tokens": 59, "input_tokens": 59, "output_tokens": 59, "reasoning_output_tokens": 59, "reasoning_reported_output_tokens": 59 }, "response_count": 59, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 55916, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 58, "model_tool_calls_by_name": { "exec": 58 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 21.85, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 875, "captured_samples": 875, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 874, "end_time_s": 87.36000000000246, "error": null, "experimental": true, "fps": 10, "received_samples": 875, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "187eb49923031bc169e94d8a3ee4afb56b326324114edcc4b747dc65e0d769a2", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,184 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "04-robodojo-cover-blocks-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": null, "configuration": "original Codex defaults; completed result retained", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "ba485cb40c00fc13c4cc2d3a9099ed481de3c8f5b4fc4491fa2cfc9bf3cb7720", "protocol_sha256": "f82ccffd492114e7545cc0020de438e9656e0206bbec42d7b35a87b1ac2969a4" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo_arx.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/04/seed-0/resources/memos/robodojo_arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 130, "observed_images": 17, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-05-seed0-formal", "task_key": "task04/05", "family": "task04", "slot": "05", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 818, "success": true, "termination": "success" }, "steps": 818, "simulation_time_s": null, "wall_time_s": 474.89826, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pick up the mallet and strike all xylophone keys from left to right.", "instruction": "Pick up the mallet and strike all xylophone keys from left to right.", "instruction_policy": "original_native", "usage": { "audit_complete": true, "cache_hit_rate": 0.9453384625400734, "cache_reported_input_tokens": 1397747, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1397747, "cached_input_tokens": 1321344, "cli_error_events": 0, "completed_turns": 1, "cost_usd": null, "input_tokens": 1397747, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1321344, "known_input_tokens": 1397747, "known_output_tokens": 9368, "known_reasoning_output_tokens": 3221, "output_tokens": 9368, "reasoning_output_tokens": 3221, "reasoning_reported_output_tokens": 9368, "reported_responses": { "cache_reported_input_tokens": 42, "cache_write_input_tokens": 42, "cache_write_reported_input_tokens": 42, "cached_input_tokens": 42, "input_tokens": 42, "output_tokens": 42, "reasoning_output_tokens": 42, "reasoning_reported_output_tokens": 42 }, "response_count": 42, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 76403, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 41, "model_tool_calls_by_name": { "exec": 41 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 8.2, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 328, "captured_samples": 328, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 328, "end_time_s": 32.71999999999948, "error": null, "experimental": true, "fps": 10, "received_samples": 328, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "886425375b21b36f96b0ccca630df5ecca8c7fa74545ceb9a08fb5f74720cf1f", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 818 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "05-robodojo-play-xylophone-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": null, "configuration": "original Codex defaults; completed result retained", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "35c05e4e74b6a13f220c40daddc88aa06280c47ada586357c5bba90a220a8ec2", "protocol_sha256": "6e8f773de082b048547d9d092a6e48aab2bbfa59b7bb0fab422bd78a958354b5" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/xylophone.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/resources/tools/xylophone.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/05/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 95, "observed_images": 14, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-06-seed0-formal", "task_key": "task04/06", "family": "task04", "slot": "06", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 7421, "success": false, "termination": "stopped" }, "steps": 7421, "simulation_time_s": null, "wall_time_s": 3752.161363, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Place each tool into its matching position in the toolbox, then reset the robot arm.", "instruction": "Place each tool flat in its matching shaped recess, aligned with the outline and fully below the toolbox rim. Release all tools and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9886906039946509, "cache_reported_input_tokens": 15593052, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 15593052, "cached_input_tokens": 15416704, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 15593052, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 15416704, "known_input_tokens": 15593052, "known_output_tokens": 57648, "known_reasoning_output_tokens": 36726, "output_tokens": 57648, "reasoning_output_tokens": 36726, "reasoning_reported_output_tokens": 57648, "reported_responses": { "cache_reported_input_tokens": 207, "cache_write_input_tokens": 207, "cache_write_reported_input_tokens": 207, "cached_input_tokens": 207, "input_tokens": 207, "output_tokens": 207, "reasoning_output_tokens": 207, "reasoning_reported_output_tokens": 207 }, "response_count": 207, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 176348, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 206, "model_tool_calls_by_name": { "exec": 206 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 74.2, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 2970, "captured_samples": 2970, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2969, "end_time_s": 296.84000000000424, "error": null, "experimental": true, "fps": 10, "received_samples": 2970, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "9b05b8721f8a9ba6d50bca1e31c826d2b9e93eededd97f9294ef08410fb4b320", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 7,421 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "06-robodojo-store-tools-in-toolbox-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": null, "configuration": "original Codex defaults; completed result retained", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "44e662500fec84bba99856f9ce573276e3141bb32a472f4245d02b75eaff70f2", "protocol_sha256": "fa5ac36c9b8059eb095876d7da44d3a1fcdb68df35a6ef72c3800d96d5292357" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "skills/robodojo-arx-manipulation/SKILL.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/resources/skills/robodojo-arx-manipulation/SKILL.md", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo-arx.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/06/seed-0/resources/memos/robodojo-arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 453, "observed_images": 61, "tool_errors": 7 }, "selected_for_formal_metrics": true }, { "id": "task04-07-seed0-formal", "task_key": "task04/07", "family": "task04", "slot": "07", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 4162, "success": true, "termination": "success" }, "steps": 4162, "simulation_time_s": null, "wall_time_s": 2428.860172, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Insert the three tubes into the rack one by one.", "instruction": "Insert the three tubes upright into the rack one by one, pointed ends down, until they are fully seated. Release them and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9885433078393561, "cache_reported_input_tokens": 11924908, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 11924908, "cached_input_tokens": 11788288, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 11924908, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 11788288, "known_input_tokens": 11924908, "known_output_tokens": 45245, "known_reasoning_output_tokens": 23793, "output_tokens": 45245, "reasoning_output_tokens": 23793, "reasoning_reported_output_tokens": 45245, "reported_responses": { "cache_reported_input_tokens": 168, "cache_write_input_tokens": 168, "cache_write_reported_input_tokens": 168, "cached_input_tokens": 168, "input_tokens": 168, "output_tokens": 168, "reasoning_output_tokens": 168, "reasoning_reported_output_tokens": 168 }, "response_count": 168, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 136620, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 167, "model_tool_calls_by_name": { "exec": 167 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 41.6, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 1666, "captured_samples": 1666, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1665, "end_time_s": 166.48000000000116, "error": null, "experimental": true, "fps": 10, "received_samples": 1666, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "0eceba672ce4ecdeea98aa372cce1c4d7dd69cf118c2766b39ad4fee0204a3fb", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 4,162 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "07-robodojo-insert-tubes-codex-seed0-attempt02", "attempt": 2, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "dced20541deac3be24265775d5b357aadecb6b53ad8b991fbf38cfcb1a690cfd", "protocol_sha256": "331cfc33f7aa656ce04ffa0d8e7927d625ea36dd825616041760649c239cee4b" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/tubes.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/resources/tools/tubes.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/insert-tubes.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/07/seed-0/resources/memos/insert-tubes.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 362, "observed_images": 84, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-08-seed0-formal", "task_key": "task04/08", "family": "task04", "slot": "08", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1432, "success": true, "termination": "success" }, "steps": 1432, "simulation_time_s": null, "wall_time_s": 910.698324, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pick up the coin from the holder and insert it precisely into the coin bank.", "instruction": "Pick up the coin from its holder and deposit it through the slot of the coin bank. Let the coin fall fully inside the bank, then return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "audit_complete": true, "cache_hit_rate": 0.969718938267589, "cache_reported_input_tokens": 2957393, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2957393, "cached_input_tokens": 2867840, "cli_error_events": 0, "completed_turns": 1, "cost_usd": null, "input_tokens": 2957393, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 2867840, "known_input_tokens": 2957393, "known_output_tokens": 15930, "known_reasoning_output_tokens": 6814, "output_tokens": 15930, "reasoning_output_tokens": 6814, "reasoning_reported_output_tokens": 15930, "reported_responses": { "cache_reported_input_tokens": 69, "cache_write_input_tokens": 69, "cache_write_reported_input_tokens": 69, "cached_input_tokens": 69, "input_tokens": 69, "output_tokens": 69, "reasoning_output_tokens": 69, "reasoning_reported_output_tokens": 69 }, "response_count": 69, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 89553, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 68, "model_tool_calls_by_name": { "exec": 68 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 14.3, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 574, "captured_samples": 574, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 573, "end_time_s": 57.27999999999896, "error": null, "experimental": true, "fps": 10, "received_samples": 574, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "cb24a4ce2ea19e647f2c67606f98d2cbf886b855b493fc7f7bc9262aff986477", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,432 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "08-robodojo-deposit-coin-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": null, "configuration": "original Codex defaults; completed result retained", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "6646988c7b86b850f5e65a3ed8ef9567c55a3ab54dbacfcd4fc3e768d48600dc", "protocol_sha256": "a5257eeb791b38dc956b69d4b7720388b44fff6d4ebee9de4202fec62c582203" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/resources/tools/arx.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo-arx.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/08/seed-0/resources/memos/robodojo-arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 151, "observed_images": 35, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task04-09-seed0-formal", "task_key": "task04/09", "family": "task04", "slot": "09", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 7340, "success": true, "termination": "success" }, "steps": 7340, "simulation_time_s": null, "wall_time_s": 2222.863393, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Insert and tighten each screw into the nut of the same color.", "instruction": "Fit each nut upright onto the bolt of the same color and seat it fully. Release the nuts, fully open both grippers, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9835530486386026, "cache_reported_input_tokens": 5986459, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 5986459, "cached_input_tokens": 5888000, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 5986459, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 5888000, "known_input_tokens": 5986459, "known_output_tokens": 23452, "known_reasoning_output_tokens": 10788, "output_tokens": 23452, "reasoning_output_tokens": 10788, "reasoning_reported_output_tokens": 23452, "reported_responses": { "cache_reported_input_tokens": 102, "cache_write_input_tokens": 102, "cache_write_reported_input_tokens": 102, "cached_input_tokens": 102, "input_tokens": 102, "output_tokens": 102, "reasoning_output_tokens": 102, "reasoning_reported_output_tokens": 102 }, "response_count": 102, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 98459, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 101, "model_tool_calls_by_name": { "exec": 101 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 73.4, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 2937, "captured_samples": 2937, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2937, "end_time_s": 293.6000000000026, "error": null, "experimental": true, "fps": 10, "received_samples": 2937, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "a8697d4f957fe6a2a66e87eb3c4997d6950eee33a083feb21b1b8e390a5904d1", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 7,340 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "09-robodojo-fasten-screws-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "7d0d25b922a0b9c4b5f5d1aed6a177a2ab18c354b1b5f0b46e6c6893bd41122a", "protocol_sha256": "3ef339de3038dcc6f878291f55e69c8bdfa168ab01175b93c61087d631f4cd43" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/resources/tools/arx.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/thread.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/resources/tools/thread.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/vision.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/resources/tools/vision.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/fasten-screws.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/09/seed-0/resources/memos/fasten-screws.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 239, "observed_images": 46, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-10-seed0-formal", "task_key": "task04/10", "family": "task04", "slot": "10", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2460, "success": true, "termination": "success" }, "steps": 2460, "simulation_time_s": null, "wall_time_s": 1359.75979, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Place all stacking toy pieces onto the correct pegs.", "instruction": "Place all stacking toy pieces onto their matching pegs, with the pieces neatly stacked and fully seated, then release them and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9826687858661154, "cache_reported_input_tokens": 4468354, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 4468354, "cached_input_tokens": 4390912, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 4468354, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 4390912, "known_input_tokens": 4468354, "known_output_tokens": 20623, "known_reasoning_output_tokens": 8390, "output_tokens": 20623, "reasoning_output_tokens": 8390, "reasoning_reported_output_tokens": 20623, "reported_responses": { "cache_reported_input_tokens": 92, "cache_write_input_tokens": 92, "cache_write_reported_input_tokens": 92, "cached_input_tokens": 92, "input_tokens": 92, "output_tokens": 92, "reasoning_output_tokens": 92, "reasoning_reported_output_tokens": 92 }, "response_count": 92, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 77442, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 91, "model_tool_calls_by_name": { "exec": 91 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 24.6, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 985, "captured_samples": 985, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 985, "end_time_s": 98.40000000000418, "error": null, "experimental": true, "fps": 10, "received_samples": 985, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "f33410f408ea216ab16e5e5b63ef1401675bed937cda72452a50e74f0c7e6110", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,460 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "10-robodojo-play-stacking-toy-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "6f04acc882ec1476c4e080affbc5f56056ef179393d261cfdd09395d7b4efc8d", "protocol_sha256": "151595e8813018fa139d3fa1302f064a6f3147285b0afa155b9e316dac2a8cef" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/scene.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/resources/tools/scene.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/star_pose.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/resources/tools/star_pose.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/stacking-toy.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/10/seed-0/resources/memos/stacking-toy.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 200, "observed_images": 42, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-11-seed0-formal", "task_key": "task04/11", "family": "task04", "slot": "11", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 905, "success": true, "termination": "success" }, "steps": 905, "simulation_time_s": null, "wall_time_s": 451.410962, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Use the set square to push the three blocks into a straight, aligned row, then reset the robot arm.", "instruction": "Use the set square to push the three blocks into a straight, aligned row, then reset the robot arm.", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9693861238189193, "cache_reported_input_tokens": 1207263, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1207263, "cached_input_tokens": 1170304, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1207263, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1170304, "known_input_tokens": 1207263, "known_output_tokens": 7588, "known_reasoning_output_tokens": 2448, "output_tokens": 7588, "reasoning_output_tokens": 2448, "reasoning_reported_output_tokens": 7588, "reported_responses": { "cache_reported_input_tokens": 38, "cache_write_input_tokens": 38, "cache_write_reported_input_tokens": 38, "cached_input_tokens": 38, "input_tokens": 38, "output_tokens": 38, "reasoning_output_tokens": 38, "reasoning_reported_output_tokens": 38 }, "response_count": 38, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 36959, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 37, "model_tool_calls_by_name": { "exec": 37 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 9.05, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 363, "captured_samples": 363, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 363, "end_time_s": 36.199999999999406, "error": null, "experimental": true, "fps": 10, "received_samples": 363, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "d51f804540d6c50398212f2f5edf86ee1625dc47cf7baa4a9f83a2b860913e8d", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 905 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "11-robodojo-align-blocks-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "086abce49b5d3532ac8d2ae2a151203ee393764ee8922696a8078816facb4405", "protocol_sha256": "620ebf01c8128411b840fd2d8f4f2fe1218e00277e6acd3cde5539758a420a74" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo_arx.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/11/seed-0/resources/memos/robodojo_arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 87, "observed_images": 11, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-12-seed0-formal", "task_key": "task04/12", "family": "task04", "slot": "12", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2040, "success": true, "termination": "success" }, "steps": 2040, "simulation_time_s": null, "wall_time_s": 761.096515, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Arrange the numbers from left to right to form the largest possible number, and place them on the pad.", "instruction": "Arrange all the digits on the pads to form the largest possible number when read from left to right. Leave one digit lying flat on each pad, readable from the robot's side, then return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9753845987393726, "cache_reported_input_tokens": 2403089, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2403089, "cached_input_tokens": 2343936, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 2403089, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 2343936, "known_input_tokens": 2403089, "known_output_tokens": 14542, "known_reasoning_output_tokens": 5467, "output_tokens": 14542, "reasoning_output_tokens": 5467, "reasoning_reported_output_tokens": 14542, "reported_responses": { "cache_reported_input_tokens": 57, "cache_write_input_tokens": 57, "cache_write_reported_input_tokens": 57, "cached_input_tokens": 57, "input_tokens": 57, "output_tokens": 57, "reasoning_output_tokens": 57, "reasoning_reported_output_tokens": 57 }, "response_count": 57, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 59153, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 56, "model_tool_calls_by_name": { "exec": 56 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 20.4, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 817, "captured_samples": 817, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 817, "end_time_s": 81.60000000000156, "error": null, "experimental": true, "fps": 10, "received_samples": 817, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "9a9c90793bbaacd612feb198417179ec25bbcb35d94d70552737bbe13ce20476", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,040 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "12-robodojo-arrange-largest-number-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "d01052e6e6c2efca3ee6889b464b94a02621b96261073f765c74b3330454c6e2", "protocol_sha256": "e82a721587b91661ee5bcdb485c3e6573d246b35f68ab10c3db9adcfe9fbbe1f" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/12/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 128, "observed_images": 34, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task04-14-seed0-formal", "task_key": "task04/14", "family": "task04", "slot": "14", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 3359, "success": true, "termination": "success" }, "steps": 3359, "simulation_time_s": null, "wall_time_s": 1171.989441, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Build a tower using the wooden blocks and wooden boards.", "instruction": "Build a tower, from bottom to top: two white blocks, the long board, two white blocks, the short board, the small plank, and the green roof. Use one white block from each original side in each pair. Keep the white blocks, boards and plank horizontal on their original bottom faces, and the roof upright on its base. Center the short board, plank and roof over the piece directly below. Align the plank lengthwise with the short board, with the roof ridge perpendicular to the plank\u2019s long edges. Release everything, open both grippers, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9675784864147415, "cache_reported_input_tokens": 4541614, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 4541614, "cached_input_tokens": 4394368, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 4541614, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 4394368, "known_input_tokens": 4541614, "known_output_tokens": 24568, "known_reasoning_output_tokens": 12189, "output_tokens": 24568, "reasoning_output_tokens": 12189, "reasoning_reported_output_tokens": 24568, "reported_responses": { "cache_reported_input_tokens": 84, "cache_write_input_tokens": 84, "cache_write_reported_input_tokens": 84, "cached_input_tokens": 84, "input_tokens": 84, "output_tokens": 84, "reasoning_output_tokens": 84, "reasoning_reported_output_tokens": 84 }, "response_count": 84, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 147246, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 83, "model_tool_calls_by_name": { "exec": 83 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 33.6, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 1345, "captured_samples": 1345, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1344, "end_time_s": 134.36000000000755, "error": null, "experimental": true, "fps": 10, "received_samples": 1345, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "b52315b264a1ec58c07ecb9116860442f42663203610c1a8657a28219c9f4838", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 3,359 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "14-robodojo-build-tower-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "aff53ab9e8e2a32cbeb5a2f4633e6f7a27eb2b3866ebc2e2ba6d44d650dcb442", "protocol_sha256": "f23cb3045132545976e459babecca972c759abe27461c2ba6453d38a7e4d1360" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/14/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 184, "observed_images": 26, "tool_errors": 8 }, "selected_for_formal_metrics": true }, { "id": "task04-15-seed0-formal", "task_key": "task04/15", "family": "task04", "slot": "15", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2596, "success": true, "termination": "success" }, "steps": 2596, "simulation_time_s": null, "wall_time_s": 1014.520145, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Sort the objects by category into the three baskets.", "instruction": "Sort all objects by category into the three baskets, with one category per basket. Place every object fully inside and below the basket rim. Release the objects and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9738975583231717, "cache_reported_input_tokens": 4079082, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 4079082, "cached_input_tokens": 3972608, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 4079082, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 3972608, "known_input_tokens": 4079082, "known_output_tokens": 15725, "known_reasoning_output_tokens": 5293, "output_tokens": 15725, "reasoning_output_tokens": 5293, "reasoning_reported_output_tokens": 15725, "reported_responses": { "cache_reported_input_tokens": 90, "cache_write_input_tokens": 90, "cache_write_reported_input_tokens": 90, "cached_input_tokens": 90, "input_tokens": 90, "output_tokens": 90, "reasoning_output_tokens": 90, "reasoning_reported_output_tokens": 90 }, "response_count": 90, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 106474, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 89, "model_tool_calls_by_name": { "exec": 89 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 25.95, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 1040, "captured_samples": 1040, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1039, "end_time_s": 103.84000000000503, "error": null, "experimental": true, "fps": 10, "received_samples": 1040, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "e96ba3cf7a99f5b2b17cbefd55e81a1fde9a3fd6bcba56070e0562bab2b6f25b", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,596 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "15-robodojo-classify-objects-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "d2e8f693d88f6de5e2df3641f442f1eceb4491bed7af44d821ce744caaad76a4", "protocol_sha256": "d4764df5340422c36eecca651903cdb4fbd291218376a4e4117bd3dc8acfe06b" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/15/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 196, "observed_images": 29, "tool_errors": 7 }, "selected_for_formal_metrics": true }, { "id": "task04-16-seed0-formal", "task_key": "task04/16", "family": "task04", "slot": "16", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 0.9, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 3772, "success": true, "termination": "success" }, "steps": 3772, "simulation_time_s": null, "wall_time_s": 2172.762126, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Place the four eggs from the basket into the egg holder, then close the lid.", "instruction": "Place all four eggs from the basket into the egg holder, seated fully down in its egg compartments. Close the lid fully without dislodging the eggs, release the holder, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9826951520509492, "cache_reported_input_tokens": 10433608, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 10433608, "cached_input_tokens": 10253056, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 10433608, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 10253056, "known_input_tokens": 10433608, "known_output_tokens": 29150, "known_reasoning_output_tokens": 12899, "output_tokens": 29150, "reasoning_output_tokens": 12899, "reasoning_reported_output_tokens": 29150, "reported_responses": { "cache_reported_input_tokens": 157, "cache_write_input_tokens": 157, "cache_write_reported_input_tokens": 157, "cached_input_tokens": 157, "input_tokens": 157, "output_tokens": 157, "reasoning_output_tokens": 157, "reasoning_reported_output_tokens": 157 }, "response_count": 157, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 180552, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 156, "model_tool_calls_by_name": { "exec": 156 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 37.7, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 1510, "captured_samples": 1510, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1509, "end_time_s": 150.88000000000426, "error": null, "experimental": true, "fps": 10, "received_samples": 1510, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "002442d1fa0799e92d47cc1687b3da010773218f87a3be0e689c11906ffb29c7", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 3,772 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "16-robodojo-fill-egg-holder-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "871a93ab6accbee6e7cc7968929044cbb727bb42f06c28dca314a22cc2249634", "protocol_sha256": "e0a19fd656f3a7648fb37353a65d615d5764a23477c26b9ef17a28e052f6af6c" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/vision.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/resources/tools/vision.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/egg-holder.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/16/seed-0/resources/memos/egg-holder.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 337, "observed_images": 62, "tool_errors": 5 }, "selected_for_formal_metrics": true }, { "id": "task04-17-seed0-formal", "task_key": "task04/17", "family": "task04", "slot": "17", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.25, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 7440, "success": false, "termination": "stopped" }, "steps": 7440, "simulation_time_s": null, "wall_time_s": 5845.33904, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Hold the pen holder with one hand, place all pens into it with the other hand, then put it back down.", "instruction": "Hold the pen holder with one hand and insert all the pens with the other, writing ends down and fully seated inside. Put the holder down upright, release it, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.992503006146394, "cache_reported_input_tokens": 29201838, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 29201838, "cached_input_tokens": 28982912, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 29201838, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 28982912, "known_input_tokens": 29201838, "known_output_tokens": 80788, "known_reasoning_output_tokens": 48714, "output_tokens": 80788, "reasoning_output_tokens": 48714, "reasoning_reported_output_tokens": 80788, "reported_responses": { "cache_reported_input_tokens": 289, "cache_write_input_tokens": 289, "cache_write_reported_input_tokens": 289, "cached_input_tokens": 289, "input_tokens": 289, "output_tokens": 289, "reasoning_output_tokens": 289, "reasoning_reported_output_tokens": 289 }, "response_count": 289, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 218926, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 288, "model_tool_calls_by_name": { "exec": 288 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 74.4, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 2977, "captured_samples": 2977, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2977, "end_time_s": 297.6000000000046, "error": null, "experimental": true, "fps": 10, "received_samples": 2977, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "f3c9626399fbbdd5e6f15a39f9e9967e3ac90b6d1c85b0ba822ae16f36465301", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 7,440 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "17-robodojo-fill-pen-holder-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "4de9c3c264f52832303def2e45505f2814b7fc5a0fe89b7ca676fd6d8c693b71", "protocol_sha256": "8db05ad726248326912895583e4fe0eb492747d9f7702eb2b524abfb8da02a0a" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo-manipulation.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/17/seed-0/resources/memos/robodojo-manipulation.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 608, "observed_images": 123, "tool_errors": 20 }, "selected_for_formal_metrics": true }, { "id": "task04-18-seed0-formal", "task_key": "task04/18", "family": "task04", "slot": "18", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2826, "success": true, "termination": "success" }, "steps": 2826, "simulation_time_s": null, "wall_time_s": 1232.841163, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Fold the clothes neatly.", "instruction": "Fold the garment into a compact rectangle, with both sleeves folded across the chest and the lower half folded up toward the shoulders. Release the garment, open both grippers, and return both arms to their starting poses when finished.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9844570088586699, "cache_reported_input_tokens": 4706237, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 4706237, "cached_input_tokens": 4633088, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 4706237, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 4633088, "known_input_tokens": 4706237, "known_output_tokens": 20162, "known_reasoning_output_tokens": 9173, "output_tokens": 20162, "reasoning_output_tokens": 9173, "reasoning_reported_output_tokens": 20162, "reported_responses": { "cache_reported_input_tokens": 103, "cache_write_input_tokens": 103, "cache_write_reported_input_tokens": 103, "cached_input_tokens": 103, "input_tokens": 103, "output_tokens": 103, "reasoning_output_tokens": 103, "reasoning_reported_output_tokens": 103 }, "response_count": 103, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 73149, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 102, "model_tool_calls_by_name": { "exec": 102 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 28.25, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 1132, "captured_samples": 1132, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1131, "end_time_s": 113.04000000000647, "error": null, "experimental": true, "fps": 10, "received_samples": 1132, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "3996c68436f3182c9e7bc41ea32922a95d069c8a68eb224f6f254da8215a7663", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,826 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "18-robodojo-fold-clothes-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "35ba999d3fa3ea7ebfbaca4e8dbc7af91edc4b0c46715c5e97b4d98a70e3479a", "protocol_sha256": "4d88cc5a999dce74aa071c90a44dc1dd29d91e85bb470ce457003c0efec6e5f3" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/media-validation.json" }, "resources": [ { "name": "tools/cloth_robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/resources/tools/cloth_robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/fold-clothes.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/18/seed-0/resources/memos/fold-clothes.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 224, "observed_images": 18, "tool_errors": 5 }, "selected_for_formal_metrics": true }, { "id": "task04-20-seed0-formal", "task_key": "task04/20", "family": "task04", "slot": "20", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 260, "success": true, "termination": "success" }, "steps": 260, "simulation_time_s": null, "wall_time_s": 269.775859, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pick up the mint green scissors by 10 cm.", "instruction": "Pick up the mint green scissors by 10 cm.", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9191078898266838, "cache_reported_input_tokens": 890742, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 890742, "cached_input_tokens": 818688, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 890742, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 818688, "known_input_tokens": 890742, "known_output_tokens": 5727, "known_reasoning_output_tokens": 1190, "output_tokens": 5727, "reasoning_output_tokens": 1190, "reasoning_reported_output_tokens": 5727, "reported_responses": { "cache_reported_input_tokens": 29, "cache_write_input_tokens": 29, "cache_write_reported_input_tokens": 29, "cached_input_tokens": 29, "input_tokens": 29, "output_tokens": 29, "reasoning_output_tokens": 29, "reasoning_reported_output_tokens": 29 }, "response_count": 29, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 72054, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 28, "model_tool_calls_by_name": { "exec": 28 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 2.6, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 105, "captured_samples": 105, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 105, "end_time_s": 10.399999999999954, "error": null, "experimental": true, "fps": 10, "received_samples": 105, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "f1adb5cd77446398a93ec1a1a57c87e37064722569f777d8ef2a4bacd0e18687", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 260 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "20-robodojo-general-pickup-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "cf1f81dbf7f2eb4c6393e3165c8c4b790ff49c58e39e750896e804bc4d611ed4", "protocol_sha256": "eb6397849e2080ca6ce830dcd4ed4e76f31023c07b80325b71f2a0444ae4aeb0" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/20/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 67, "observed_images": 10, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task04-21-seed0-formal", "task_key": "task04/21", "family": "task04", "slot": "21", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 3649, "success": true, "termination": "success" }, "steps": 3649, "simulation_time_s": null, "wall_time_s": 2306.162789, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Hang all the mugs on the mug rack.", "instruction": "Hang all three mugs by their handles on the raised supports of the mug rack. Seat each handle securely over a support, with the mug hanging clear of the table. Release all mugs and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.986611442252095, "cache_reported_input_tokens": 8564328, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 8564328, "cached_input_tokens": 8449664, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 8564328, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 8449664, "known_input_tokens": 8564328, "known_output_tokens": 31426, "known_reasoning_output_tokens": 14518, "output_tokens": 31426, "reasoning_output_tokens": 14518, "reasoning_reported_output_tokens": 31426, "reported_responses": { "cache_reported_input_tokens": 130, "cache_write_input_tokens": 130, "cache_write_reported_input_tokens": 130, "cached_input_tokens": 130, "input_tokens": 130, "output_tokens": 130, "reasoning_output_tokens": 130, "reasoning_reported_output_tokens": 130 }, "response_count": 130, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 114664, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 129, "model_tool_calls_by_name": { "exec": 129 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 36.5, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 1461, "captured_samples": 1461, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1460, "end_time_s": 145.96000000000524, "error": null, "experimental": true, "fps": 10, "received_samples": 1461, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "0ddc1edee9aa88a0be87c863f3b64ad7e15490581f2927994d7d4dd64a86ff2f", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 3,649 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "21-robodojo-hang-mugs-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "70767bdbed391ab842e15bda14790bef81da6a1f18cda36d74fdd8907eb6e79d", "protocol_sha256": "c503521ec7cadab57ffa2b9e37d6e21b1429512d1233fec140dd86f0f171f1ce" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/hang-mugs.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/21/seed-0/resources/memos/hang-mugs.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 281, "observed_images": 76, "tool_errors": 7 }, "selected_for_formal_metrics": true }, { "id": "task04-23-seed0-formal", "task_key": "task04/23", "family": "task04", "slot": "23", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2522, "success": true, "termination": "success" }, "steps": 2522, "simulation_time_s": null, "wall_time_s": 768.602172, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Observe the object placement order, remember it, then place the corresponding objects into the basket in the same order.", "instruction": "Keep both arms at their starting poses while the other robot demonstrates the five-object placement sequence. After it finishes, place your corresponding objects one at a time into the empty basket in the same order. Keep every previously placed object inside, and leave the demonstration objects in the other basket. Return both arms to their starting poses when finished.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9556093875054337, "cache_reported_input_tokens": 2056606, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2056606, "cached_input_tokens": 1965312, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 2056606, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1965312, "known_input_tokens": 2056606, "known_output_tokens": 10680, "known_reasoning_output_tokens": 3174, "output_tokens": 10680, "reasoning_output_tokens": 3174, "reasoning_reported_output_tokens": 10680, "reported_responses": { "cache_reported_input_tokens": 54, "cache_write_input_tokens": 54, "cache_write_reported_input_tokens": 54, "cached_input_tokens": 54, "input_tokens": 54, "output_tokens": 54, "reasoning_output_tokens": 54, "reasoning_reported_output_tokens": 54 }, "response_count": 54, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 91294, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 53, "model_tool_calls_by_name": { "exec": 53 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 25.2, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 1010, "captured_samples": 1010, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1009, "end_time_s": 100.88000000000457, "error": null, "experimental": true, "fps": 10, "received_samples": 1010, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "53deb842a8884a3c13a74206e3428cd05f0f4fd34bb2a9ddda96879725e79526", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,522 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "23-robodojo-imitate-sorting-sequence-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "9b1953ed93b8e55e6edebf252367a0b915d05693b39399ff56af6f295f21bca6", "protocol_sha256": "32d862b0761e0d956a45f371a10e4e0140fd59918700869986626301b85a8aec" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo_arx.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/23/seed-0/resources/memos/robodojo_arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 122, "observed_images": 20, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-24-seed0-formal", "task_key": "task04/24", "family": "task04", "slot": "24", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 6895, "success": true, "termination": "success" }, "steps": 6895, "simulation_time_s": null, "wall_time_s": 6105.168067, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pick up the key, hand it over to the other hand, insert it into the keyhole, then turn it.", "instruction": "Pick up the key, hand it over to the other hand, and insert its blade fully into the keyhole with the handle above it. Keeping the key upright and seated, turn it clockwise by about 60 degrees from the keyhole's insertion orientation, as viewed from above.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9920158514145233, "cache_reported_input_tokens": 30834346, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 30834346, "cached_input_tokens": 30588160, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 30834346, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 30588160, "known_input_tokens": 30834346, "known_output_tokens": 88978, "known_reasoning_output_tokens": 58431, "output_tokens": 88978, "reasoning_output_tokens": 58431, "reasoning_reported_output_tokens": 88978, "reported_responses": { "cache_reported_input_tokens": 284, "cache_write_input_tokens": 284, "cache_write_reported_input_tokens": 284, "cached_input_tokens": 284, "input_tokens": 284, "output_tokens": 284, "reasoning_output_tokens": 284, "reasoning_reported_output_tokens": 284 }, "response_count": 284, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 246186, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 283, "model_tool_calls_by_name": { "exec": 283 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 68.95, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 2759, "captured_samples": 2759, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2759, "end_time_s": 275.7999999999935, "error": null, "experimental": true, "fps": 10, "received_samples": 2759, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "33858388d5d9f42802a6cc8abaacf292071e0726ab83a85536f3fde3eddbedc3", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 6,895 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "24-robodojo-insert-key-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "3f0e761afc0361d14bf3eb9c429b6da6ba66f3ec1829ddac1d8215dc415bc4f5", "protocol_sha256": "e21d3a817474cba6513493d9ccfe2fec68ee69d186cf329dcd7700bcd9cf21bb" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/vision.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/resources/tools/vision.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/24/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 595, "observed_images": 166, "tool_errors": 19 }, "selected_for_formal_metrics": true }, { "id": "task04-25-seed0-formal", "task_key": "task04/25", "family": "task04", "slot": "25", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2476, "success": false, "termination": "stopped" }, "steps": 2476, "simulation_time_s": null, "wall_time_s": 1432.125486, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Wait for the opponent to discard a tile, then declare a kong with the matching tiles.", "instruction": "Wait with both arms at their starting poses until the opponent finishes discarding. Declare a kong by laying your three matching tiles face up, leaving the rest of your hand upright. Draw the top replacement tile from the nearer stack on your left, keeping it face down and parallel to your row, then stand it in the vacant place at the right end of your hand and release it.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9834388656524558, "cache_reported_input_tokens": 4991204, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 4991204, "cached_input_tokens": 4908544, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 4991204, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 4908544, "known_input_tokens": 4991204, "known_output_tokens": 24592, "known_reasoning_output_tokens": 12576, "output_tokens": 24592, "reasoning_output_tokens": 12576, "reasoning_reported_output_tokens": 24592, "reported_responses": { "cache_reported_input_tokens": 92, "cache_write_input_tokens": 92, "cache_write_reported_input_tokens": 92, "cached_input_tokens": 92, "input_tokens": 92, "output_tokens": 92, "reasoning_output_tokens": 92, "reasoning_reported_output_tokens": 92 }, "response_count": 92, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 82660, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 91, "model_tool_calls_by_name": { "exec": 91 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 24.75, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 992, "captured_samples": 992, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 991, "end_time_s": 99.04000000000428, "error": null, "experimental": true, "fps": 10, "received_samples": 992, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "5a7054d51b66c5a20ebc49a1a8f215946d072d83d0466c36c87e2c2688c63b42", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,476 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "25-robodojo-make-kong-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "582f758b68dbf9ec564b43b177768a2188f2669bd349cf965a7a2ea12f090e85", "protocol_sha256": "1fc4df2b6175d238be961281622ba215bef1bcdb21ea23cbe6f10a9795467980" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/25/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 200, "observed_images": 33, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-27-seed0-formal", "task_key": "task04/27", "family": "task04", "slot": "27", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 484, "success": true, "termination": "success" }, "steps": 484, "simulation_time_s": null, "wall_time_s": 314.65821, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Remember the first object on the conveyor, then pick the matching object when it appears again.", "instruction": "Remember the first object on the conveyor, then pick the matching object when it appears again.", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9657021376219193, "cache_reported_input_tokens": 1059308, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1059308, "cached_input_tokens": 1022976, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1059308, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1022976, "known_input_tokens": 1059308, "known_output_tokens": 5961, "known_reasoning_output_tokens": 1266, "output_tokens": 5961, "reasoning_output_tokens": 1266, "reasoning_reported_output_tokens": 5961, "reported_responses": { "cache_reported_input_tokens": 34, "cache_write_input_tokens": 34, "cache_write_reported_input_tokens": 34, "cached_input_tokens": 34, "input_tokens": 34, "output_tokens": 34, "reasoning_output_tokens": 34, "reasoning_reported_output_tokens": 34 }, "response_count": 34, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 36332, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 33, "model_tool_calls_by_name": { "exec": 33 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 4.85, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 195, "captured_samples": 195, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 194, "end_time_s": 19.359999999999765, "error": null, "experimental": true, "fps": 10, "received_samples": 195, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "60d25b2c13bced27c981d498b8b5bbbdb69eed3765a49e79d191b422ce7f5883", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 484 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "27-robodojo-match-and-pick-from-conveyor-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "1817741b18e5d58c4d9b0703d89631df097eeb8c42da1105db405edf09674a53", "protocol_sha256": "4c9a990682a0a89bb584861b32a8cfe09170766f00e78e5e9a92588d42764808" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/media-validation.json" }, "resources": [ { "name": "tools/conveyor.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/resources/tools/conveyor.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/conveyor.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/27/seed-0/resources/memos/conveyor.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 76, "observed_images": 18, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-28-seed0-formal", "task_key": "task04/28", "family": "task04", "slot": "28", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.75, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 4143, "success": false, "termination": "stopped" }, "steps": 4143, "simulation_time_s": null, "wall_time_s": 2081.067517, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Place the alarm clock on the drawer, put the figurine on the stand, place the mouse on the mouse pad, and push the keyboard into the frame.", "instruction": "Place the alarm clock upright on top of the drawer unit and stand the figurine upright at the center of its small stand. Place the mouse flat on the mouse pad in its normal working orientation, with its front pointing toward the monitor. Push the keyboard flat into the outlined frame, aligned with the frame and facing the robot. Let all four objects settle, release them, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9848270419416297, "cache_reported_input_tokens": 6791820, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 6791820, "cached_input_tokens": 6688768, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 6791820, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 6688768, "known_input_tokens": 6791820, "known_output_tokens": 30892, "known_reasoning_output_tokens": 16263, "output_tokens": 30892, "reasoning_output_tokens": 16263, "reasoning_reported_output_tokens": 30892, "reported_responses": { "cache_reported_input_tokens": 114, "cache_write_input_tokens": 114, "cache_write_reported_input_tokens": 114, "cached_input_tokens": 114, "input_tokens": 114, "output_tokens": 114, "reasoning_output_tokens": 114, "reasoning_reported_output_tokens": 114 }, "response_count": 114, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 103052, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 113, "model_tool_calls_by_name": { "exec": 113 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 41.45, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 1658, "captured_samples": 1658, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1658, "end_time_s": 165.7200000000013, "error": null, "experimental": true, "fps": 10, "received_samples": 1658, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "9f04386472a5b79b4fc4b6e4144f05536bb036fc6590fc3d1e0361b8c4e9ceef", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 4,143 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "28-robodojo-organize-table-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "c72f4e17aad1bdc734a34ea7be9baea970ad0daefaa068b1f075ce3594d580b4", "protocol_sha256": "5547f2ca84e4a90c7e8d6f7972573843c4cf5c907cf296c4d9cbd5a83caec610" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/28/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 251, "observed_images": 60, "tool_errors": 7 }, "selected_for_formal_metrics": true }, { "id": "task04-29-seed0-formal", "task_key": "task04/29", "family": "task04", "slot": "29", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 6433, "success": true, "termination": "success" }, "steps": 6433, "simulation_time_s": null, "wall_time_s": 2657.323509, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Place all the objects into the box with their front sides facing left.", "instruction": "Place all four objects inside the bottom of the box, with their front sides facing left from the robot's viewpoint and their lengths aligned along the box. Keep the box upright with its long sides running left to right across the table. Release the objects and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.985806960138145, "cache_reported_input_tokens": 12341824, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 12341824, "cached_input_tokens": 12166656, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 12341824, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 12166656, "known_input_tokens": 12341824, "known_output_tokens": 39288, "known_reasoning_output_tokens": 20764, "output_tokens": 39288, "reasoning_output_tokens": 20764, "reasoning_reported_output_tokens": 39288, "reported_responses": { "cache_reported_input_tokens": 172, "cache_write_input_tokens": 172, "cache_write_reported_input_tokens": 172, "cached_input_tokens": 172, "input_tokens": 172, "output_tokens": 172, "reasoning_output_tokens": 172, "reasoning_reported_output_tokens": 172 }, "response_count": 172, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 175168, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 171, "model_tool_calls_by_name": { "exec": 171 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 64.35, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 2574, "captured_samples": 2574, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2574, "end_time_s": 257.319999999984, "error": null, "experimental": true, "fps": 10, "received_samples": 2574, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "8b4d310b6dc63abb0100121b03fe18a0b07a44a2a63f6df843064e356fb18898", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 6,433 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "29-robodojo-pack-objects-into-box-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "a310e18ccc4536315f21afc01221789490558fff6e3c316dc38c7fafeeaca76b", "protocol_sha256": "d344c9afa60711fa33950eb1a8cfc805ff7c78c5ad9b476e4f3f524638f5980c" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arm_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/resources/tools/arm_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/29/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 371, "observed_images": 56, "tool_errors": 9 }, "selected_for_formal_metrics": true }, { "id": "task04-31-seed0-formal", "task_key": "task04/31", "family": "task04", "slot": "31", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 863, "success": false, "termination": "stopped" }, "steps": 863, "simulation_time_s": null, "wall_time_s": 1296.406492, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Lift the basket more than 8 cm, identify the target object on the conveyor according to the image on the board, pick it up, and place it into the basket.", "instruction": "Identify the target object on the conveyor from the image on the board. Lift and hold the basket more than 8 cm above its starting height, then pick up the matching object and place it down inside the basket. Keep the basket raised, with the object resting at its bottom and more than 8 cm above its original height.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9752413698477898, "cache_reported_input_tokens": 3797181, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 3797181, "cached_input_tokens": 3703168, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 3797181, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 3703168, "known_input_tokens": 3797181, "known_output_tokens": 23800, "known_reasoning_output_tokens": 11319, "output_tokens": 23800, "reasoning_output_tokens": 11319, "reasoning_reported_output_tokens": 23800, "reported_responses": { "cache_reported_input_tokens": 65, "cache_write_input_tokens": 65, "cache_write_reported_input_tokens": 65, "cached_input_tokens": 65, "input_tokens": 65, "output_tokens": 65, "reasoning_output_tokens": 65, "reasoning_reported_output_tokens": 65 }, "response_count": 65, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 94013, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 64, "model_tool_calls_by_name": { "exec": 64 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 8.65, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 346, "captured_samples": 346, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 346, "end_time_s": 34.51999999999944, "error": null, "experimental": true, "fps": 10, "received_samples": 346, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "885151826ea1b79abd7772d71bb25c1fe86d2f09dcfddd47938e6381c5fbe6de", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 863 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "31-robodojo-pick-from-conveyor-by-image-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "aa769c4c945fa18e304b7d4d5d8c9c603afb75f438dc03b941fd4b9eb08f7fe0", "protocol_sha256": "9ce80cb246bf47f91aa2889530d7ef56aa5498f223bbd77c69f483653254c63d" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/31/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 141, "observed_images": 78, "tool_errors": 7 }, "selected_for_formal_metrics": true }, { "id": "task04-32-seed0-formal", "task_key": "task04/32", "family": "task04", "slot": "32", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 0.75, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2665, "success": true, "termination": "success" }, "steps": 2665, "simulation_time_s": null, "wall_time_s": 1171.199711, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Play tic-tac-toe as the first player and fill the board with the opponent.", "instruction": "Take the first turn and alternate with the opponent until the tic-tac-toe board is full, placing one ring flat in an empty cell on each turn. After each move, release the piece and return both arms to their starting poses, waiting there until the opponent finishes its move.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9808588531628272, "cache_reported_input_tokens": 3137952, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 3137952, "cached_input_tokens": 3077888, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 3137952, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 3077888, "known_input_tokens": 3137952, "known_output_tokens": 12655, "known_reasoning_output_tokens": 2990, "output_tokens": 12655, "reasoning_output_tokens": 2990, "reasoning_reported_output_tokens": 12655, "reported_responses": { "cache_reported_input_tokens": 76, "cache_write_input_tokens": 76, "cache_write_reported_input_tokens": 76, "cached_input_tokens": 76, "input_tokens": 76, "output_tokens": 76, "reasoning_output_tokens": 76, "reasoning_reported_output_tokens": 76 }, "response_count": 76, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 60064, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 75, "model_tool_calls_by_name": { "exec": 75 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 26.65, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 1067, "captured_samples": 1067, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1067, "end_time_s": 106.60000000000547, "error": null, "experimental": true, "fps": 10, "received_samples": 1067, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "23c68283f64bbac7ac760c388d76532ee8f7bb326ab8191d186229424eb4bed8", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,665 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "32-robodojo-play-tic-tac-toe-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "69f372f7532694f03c2a023bbb440b521596d52fb31d11a31cdda8d4184aeb4b", "protocol_sha256": "00eed76b0a0f2e74c99ae3f70a20940787ab4c6232c63f6d71e5834abb43b1df" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/tic_tac_toe.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/resources/tools/tic_tac_toe.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo-tic-tac-toe.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/32/seed-0/resources/memos/robodojo-tic-tac-toe.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 175, "observed_images": 19, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task04-33-seed0-formal", "task_key": "task04/33", "family": "task04", "slot": "33", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 964, "success": true, "termination": "success" }, "steps": 964, "simulation_time_s": null, "wall_time_s": 596.447968, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Plug the charger into the power strip.", "instruction": "Plug the charger fully into a socket on the power strip, then release it and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9748734468476761, "cache_reported_input_tokens": 2129540, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2129540, "cached_input_tokens": 2076032, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 2129540, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 2076032, "known_input_tokens": 2129540, "known_output_tokens": 9894, "known_reasoning_output_tokens": 3027, "output_tokens": 9894, "reasoning_output_tokens": 3027, "reasoning_reported_output_tokens": 9894, "reported_responses": { "cache_reported_input_tokens": 51, "cache_write_input_tokens": 51, "cache_write_reported_input_tokens": 51, "cached_input_tokens": 51, "input_tokens": 51, "output_tokens": 51, "reasoning_output_tokens": 51, "reasoning_reported_output_tokens": 51 }, "response_count": 51, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 53508, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 50, "model_tool_calls_by_name": { "exec": 50 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 9.65, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 387, "captured_samples": 387, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 386, "end_time_s": 38.559999999999356, "error": null, "experimental": true, "fps": 10, "received_samples": 387, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "7940de8cadc0eda4f274e349f87d147dd0925847c2591f649c0aea488de67656", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 964 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "33-robodojo-plug-in-charger-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "b15191e10205ded361e224d2fd269313e7eb8b9632e01a4914c3d61ad2f5927f", "protocol_sha256": "3ad1206a40141e1e795d8afd438e9e3d126c9c09ac4c8c256bb2fcb5970c2411" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/resources/tools/arx.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo-arx.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/33/seed-0/resources/memos/robodojo-arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 114, "observed_images": 25, "tool_errors": 5 }, "selected_for_formal_metrics": true }, { "id": "task04-34-seed0-formal", "task_key": "task04/34", "family": "task04", "slot": "34", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 5938, "success": true, "termination": "success" }, "steps": 5938, "simulation_time_s": null, "wall_time_s": 2498.288071, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pour all the balls from the cup into the vase.", "instruction": "Pour all seven balls from the cup into the vase. Leave every ball inside the vase, put the empty cup down upright, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.987984877004603, "cache_reported_input_tokens": 10284206, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 10284206, "cached_input_tokens": 10160640, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 10284206, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 10160640, "known_input_tokens": 10284206, "known_output_tokens": 35628, "known_reasoning_output_tokens": 14913, "output_tokens": 35628, "reasoning_output_tokens": 14913, "reasoning_reported_output_tokens": 35628, "reported_responses": { "cache_reported_input_tokens": 149, "cache_write_input_tokens": 149, "cache_write_reported_input_tokens": 149, "cached_input_tokens": 149, "input_tokens": 149, "output_tokens": 149, "reasoning_output_tokens": 149, "reasoning_reported_output_tokens": 149 }, "response_count": 149, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 123566, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 148, "model_tool_calls_by_name": { "exec": 148 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 59.4, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 2376, "captured_samples": 2376, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2376, "end_time_s": 237.51999999998702, "error": null, "experimental": true, "fps": 10, "received_samples": 2376, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "9dd792f2a52359231fe3cb3e738ba709a064dba363bed4ee65db31401af9391a", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 5,938 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "34-robodojo-pour-balls-into-vase-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "176d087554e882bcab801bc31a9300c31ba286aac43f5d9d559258cd18a4f933", "protocol_sha256": "9b55de7e87971566acdb0c291a2500699e8a0a888faf6e71d4ce3fff56b5480b" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/pour_balls.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/34/seed-0/resources/memos/pour_balls.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 322, "observed_images": 75, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task04-35-seed0-formal", "task_key": "task04/35", "family": "task04", "slot": "35", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1616, "success": false, "termination": "stopped" }, "steps": 1616, "simulation_time_s": null, "wall_time_s": 834.470016, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pour the liquid from the first violet bottle into the first black bowl, from the second red bottle into the second white bowl, and from the third turquoise bottle into the third brown bowl. Then reset the robot arm.", "instruction": "Pour the liquid from the first violet bottle into the first black bowl, from the second red bottle into the second white bowl, and from the third turquoise bottle into the third brown bowl. Then reset the robot arm.", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9667383369019035, "cache_reported_input_tokens": 2677076, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2677076, "cached_input_tokens": 2588032, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 2677076, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 2588032, "known_input_tokens": 2677076, "known_output_tokens": 11360, "known_reasoning_output_tokens": 3492, "output_tokens": 11360, "reasoning_output_tokens": 3492, "reasoning_reported_output_tokens": 11360, "reported_responses": { "cache_reported_input_tokens": 69, "cache_write_input_tokens": 69, "cache_write_reported_input_tokens": 69, "cached_input_tokens": 69, "input_tokens": 69, "output_tokens": 69, "reasoning_output_tokens": 69, "reasoning_reported_output_tokens": 69 }, "response_count": 69, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 89044, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 68, "model_tool_calls_by_name": { "exec": 68 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 16.15, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 648, "captured_samples": 648, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 647, "end_time_s": 64.6399999999989, "error": null, "experimental": true, "fps": 10, "received_samples": 648, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "207a29db68023f38d3e81e5c185ee358ef76f4dd8482e610e43b1fdc41d39da7", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,616 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "35-robodojo-pour-by-language-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "9823e4fb42ba34ba2a7c47bd1c5cd29624d9352da943026e6dd86a61f1da18b5", "protocol_sha256": "b10751bbc24694b2b82ddcb85171f0806a4d2c357f0001a79f4780ffb7e227aa" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/resources/tools/arx.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/35/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 154, "observed_images": 17, "tool_errors": 2 }, "selected_for_formal_metrics": true }, { "id": "task04-36-seed0-formal", "task_key": "task04/36", "family": "task04", "slot": "36", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1071, "success": true, "termination": "success" }, "steps": 1071, "simulation_time_s": null, "wall_time_s": 777.348758, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pour the liquid from the bottle into the cup.", "instruction": "Pour nearly all the liquid into the cup with almost no spillage. Keep the bottle tilted over the cup until the flow stops and the liquid settles, then return it upright, leaving only a small residue inside.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9768983350616229, "cache_reported_input_tokens": 2577693, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2577693, "cached_input_tokens": 2518144, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 2577693, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 2518144, "known_input_tokens": 2577693, "known_output_tokens": 15029, "known_reasoning_output_tokens": 6246, "output_tokens": 15029, "reasoning_output_tokens": 6246, "reasoning_reported_output_tokens": 15029, "reported_responses": { "cache_reported_input_tokens": 61, "cache_write_input_tokens": 61, "cache_write_reported_input_tokens": 61, "cached_input_tokens": 61, "input_tokens": 61, "output_tokens": 61, "reasoning_output_tokens": 61, "reasoning_reported_output_tokens": 61 }, "response_count": 61, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 59549, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 60, "model_tool_calls_by_name": { "exec": 60 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 10.7, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 430, "captured_samples": 430, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 429, "end_time_s": 42.839999999999264, "error": null, "experimental": true, "fps": 10, "received_samples": 430, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "0fe3ccbc26c9d14bc92ead5c4bcc79adbd0ceb97922b07e30730ea9a629065c1", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,071 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "36-robodojo-pour-liquid-into-cup-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "7e5d9d89a62d36b2acc0686d0c45410afecd3f4a6a11d4909cf399edf099191d", "protocol_sha256": "b149476eb7b742f99fdc2849cf33dae7045952a02b90dd86fc3756a18c01a07b" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/media-validation.json" }, "resources": [ { "name": "tools/pour_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/resources/tools/pour_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/robot_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/resources/tools/robot_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/pouring.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/36/seed-0/resources/memos/pouring.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 135, "observed_images": 30, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-38-seed0-formal", "task_key": "task04/38", "family": "task04", "slot": "38", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 952, "success": true, "termination": "success" }, "steps": 952, "simulation_time_s": null, "wall_time_s": 408.460414, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Press the two red buttons the required number of times according to the number cards, then press the blue button to confirm.", "instruction": "Starting with the left red button, press and release each red button the number of times shown on its card, confirming that button's count with a press and release of the blue button before moving to the next. Return both arms to their starting poses when finished.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9579166678796666, "cache_reported_input_tokens": 1030503, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1030503, "cached_input_tokens": 987136, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1030503, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 987136, "known_input_tokens": 1030503, "known_output_tokens": 6991, "known_reasoning_output_tokens": 2046, "output_tokens": 6991, "reasoning_output_tokens": 2046, "reasoning_reported_output_tokens": 6991, "reported_responses": { "cache_reported_input_tokens": 30, "cache_write_input_tokens": 30, "cache_write_reported_input_tokens": 30, "cached_input_tokens": 30, "input_tokens": 30, "output_tokens": 30, "reasoning_output_tokens": 30, "reasoning_reported_output_tokens": 30 }, "response_count": 30, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 43367, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 29, "model_tool_calls_by_name": { "exec": 29 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 9.5, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 382, "captured_samples": 382, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 381, "end_time_s": 38.079999999999366, "error": null, "experimental": true, "fps": 10, "received_samples": 382, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "1191bf611481831d762b89e5a3da004b3ca6c531987daeece4ae34cd7bceb989", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 952 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "38-robodojo-press-by-number-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "2988988996fbda95ad102c6dcdd76e9e645c552b62bb03210caf033a154c43ee", "protocol_sha256": "9fce1006e083eccaf342031dee9ee536219916e20037c3b853f01379591895a3" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/media-validation.json" }, "resources": [ { "name": "tools/press_sequence.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/resources/tools/press_sequence.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/robot_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/resources/tools/robot_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/38/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 70, "observed_images": 19, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task04-39-seed0-formal", "task_key": "task04/39", "family": "task04", "slot": "39", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 535, "success": false, "termination": "stopped" }, "steps": 535, "simulation_time_s": null, "wall_time_s": 346.926941, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Push the T-shaped block to align it precisely with the gray T-shaped pad.", "instruction": "Slide the T-shaped block along the table until it neatly matches the gray T-shaped pad in position and orientation. Keep the block on the table and return both arms to their starting poses when finished.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9539017898864306, "cache_reported_input_tokens": 787536, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 787536, "cached_input_tokens": 751232, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 787536, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 751232, "known_input_tokens": 787536, "known_output_tokens": 7374, "known_reasoning_output_tokens": 2132, "output_tokens": 7374, "reasoning_output_tokens": 2132, "reasoning_reported_output_tokens": 7374, "reported_responses": { "cache_reported_input_tokens": 25, "cache_write_input_tokens": 25, "cache_write_reported_input_tokens": 25, "cached_input_tokens": 25, "input_tokens": 25, "output_tokens": 25, "reasoning_output_tokens": 25, "reasoning_reported_output_tokens": 25 }, "response_count": 25, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 36304, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 24, "model_tool_calls_by_name": { "exec": 24 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 5.35, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 215, "captured_samples": 215, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 215, "end_time_s": 21.39999999999972, "error": null, "experimental": true, "fps": 10, "received_samples": 215, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "4351eae383c6bb677519793c915be8d479148b0156ac87ecfb962fb3768ebf93", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 535 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "39-robodojo-push-t-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "494f4f61f1bd5d3072e7966059e167381f188a7a55853a3c66839da85925e26d", "protocol_sha256": "67d36ac75c05a3dace78b479283200ce78a0d5fa330bd3deb44a3033a0feeec3" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo_push_t.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/39/seed-0/resources/memos/robodojo_push_t.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 59, "observed_images": 16, "tool_errors": 2 }, "selected_for_formal_metrics": true }, { "id": "task04-41-seed0-formal", "task_key": "task04/41", "family": "task04", "slot": "41", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 2440, "success": true, "termination": "success" }, "steps": 2440, "simulation_time_s": null, "wall_time_s": 1218.035565, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pick up the bottles and throw them into the dustbin, using handover when needed.", "instruction": "Put all four bottles into the dustbin, using a handover when needed. Let every bottle settle down inside the bin, release all bottles, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.982993762638327, "cache_reported_input_tokens": 4211396, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 4211396, "cached_input_tokens": 4139776, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 4211396, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 4139776, "known_input_tokens": 4211396, "known_output_tokens": 19241, "known_reasoning_output_tokens": 8028, "output_tokens": 19241, "reasoning_output_tokens": 8028, "reasoning_reported_output_tokens": 19241, "reported_responses": { "cache_reported_input_tokens": 94, "cache_write_input_tokens": 94, "cache_write_reported_input_tokens": 94, "cached_input_tokens": 94, "input_tokens": 94, "output_tokens": 94, "reasoning_output_tokens": 94, "reasoning_reported_output_tokens": 94 }, "response_count": 94, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 71620, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 93, "model_tool_calls_by_name": { "exec": 93 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 24.4, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 977, "captured_samples": 977, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 977, "end_time_s": 97.60000000000406, "error": null, "experimental": true, "fps": 10, "received_samples": 977, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "5e0ac64d393a038941fea1aa51dc0254120710f20bc797bae33ae2bc5268346d", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 2,440 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "41-robodojo-put-bottles-into-dustbin-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "3a9d1b691f49c20cff40af24a91e48de2f697f5a9dca9555061201b9d4c4d069", "protocol_sha256": "b9dfde3386ef956c89bac335893d836bd52984cc886a9fcd5f7152575935fca3" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "skills/robodojo-arx/SKILL.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/resources/skills/robodojo-arx/SKILL.md", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo-arx.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/41/seed-0/resources/memos/robodojo-arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 204, "observed_images": 29, "tool_errors": 8 }, "selected_for_formal_metrics": true }, { "id": "task04-42-seed0-formal", "task_key": "task04/42", "family": "task04", "slot": "42", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 376, "success": true, "termination": "success" }, "steps": 376, "simulation_time_s": null, "wall_time_s": 344.41526, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Complete the equation by selecting the correct missing number or operator and placing it on the pad, then reset the robot arm.", "instruction": "Complete the equation by selecting the correct missing number or operator and placing it on the pad, then reset the robot arm.", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9453168514193027, "cache_reported_input_tokens": 899491, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 899491, "cached_input_tokens": 850304, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 899491, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 850304, "known_input_tokens": 899491, "known_output_tokens": 7148, "known_reasoning_output_tokens": 2073, "output_tokens": 7148, "reasoning_output_tokens": 2073, "reasoning_reported_output_tokens": 7148, "reported_responses": { "cache_reported_input_tokens": 28, "cache_write_input_tokens": 28, "cache_write_reported_input_tokens": 28, "cached_input_tokens": 28, "input_tokens": 28, "output_tokens": 28, "reasoning_output_tokens": 28, "reasoning_reported_output_tokens": 28 }, "response_count": 28, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 49187, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 27, "model_tool_calls_by_name": { "exec": 27 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 3.75, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 152, "captured_samples": 152, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 151, "end_time_s": 15.039999999999855, "error": null, "experimental": true, "fps": 10, "received_samples": 152, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "ab5dc89ba3c9b5be9f7a42098a4a6e777c278eedf5c747ffee03bb2e84f4b979", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 376 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "42-robodojo-solve-equation-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "e54bfef985a6ed8b5cb4be7450d1cce3348c0d3c9040332c4c52399f523e6617", "protocol_sha256": "438173dad57f0b8c50f92d2d9903c94dc1b872d213d505617081782fca15e41d" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/42/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 64, "observed_images": 16, "tool_errors": 5 }, "selected_for_formal_metrics": true }, { "id": "task04-43-seed0-formal", "task_key": "task04/43", "family": "task04", "slot": "43", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 3036, "success": true, "termination": "success" }, "steps": 3036, "simulation_time_s": null, "wall_time_s": 1031.599589, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Arrange the five nesting dolls in a row from left to right, from smallest to largest.", "instruction": "Arrange all five nesting dolls upright in a straight row from left to right, from smallest to largest. Keep their centers aligned front to back and leave the dolls clearly separated. Release them and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9703679016442512, "cache_reported_input_tokens": 4182694, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 4182694, "cached_input_tokens": 4058752, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 4182694, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 4058752, "known_input_tokens": 4182694, "known_output_tokens": 19444, "known_reasoning_output_tokens": 7913, "output_tokens": 19444, "reasoning_output_tokens": 7913, "reasoning_reported_output_tokens": 19444, "reported_responses": { "cache_reported_input_tokens": 89, "cache_write_input_tokens": 89, "cache_write_reported_input_tokens": 89, "cached_input_tokens": 89, "input_tokens": 89, "output_tokens": 89, "reasoning_output_tokens": 89, "reasoning_reported_output_tokens": 89 }, "response_count": 89, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 123942, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 88, "model_tool_calls_by_name": { "exec": 88 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 30.35, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 1216, "captured_samples": 1216, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1215, "end_time_s": 121.44000000000779, "error": null, "experimental": true, "fps": 10, "received_samples": 1216, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "fb6425ca4b283be1bc4261fafc65a0d7ee6528e4190b690966a5c870a96a60b5", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 3,036 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "43-robodojo-sort-nesting-dolls-by-size-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "ee681e87712456c127f125c64faa8fa039084177c0e2185fb6cc85beed9e0d77", "protocol_sha256": "6330a7ba676fbbe37e3eeaa32e9e720360f342588aebda1a3d017df413d83b5d" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo-arx-x5.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/43/seed-0/resources/memos/robodojo-arx-x5.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 194, "observed_images": 25, "tool_errors": 8 }, "selected_for_formal_metrics": true }, { "id": "task04-45-seed0-formal", "task_key": "task04/45", "family": "task04", "slot": "45", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 843, "success": true, "termination": "success" }, "steps": 843, "simulation_time_s": null, "wall_time_s": 445.877178, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Stack the three blocks with different textures.", "instruction": "Stack all three differently textured blocks in a single vertical tower, in any order. Center each block over the one below, release the completed stack, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9470766490973589, "cache_reported_input_tokens": 1114064, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1114064, "cached_input_tokens": 1055104, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1114064, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1055104, "known_input_tokens": 1114064, "known_output_tokens": 6855, "known_reasoning_output_tokens": 1877, "output_tokens": 6855, "reasoning_output_tokens": 1877, "reasoning_reported_output_tokens": 6855, "reported_responses": { "cache_reported_input_tokens": 35, "cache_write_input_tokens": 35, "cache_write_reported_input_tokens": 35, "cached_input_tokens": 35, "input_tokens": 35, "output_tokens": 35, "reasoning_output_tokens": 35, "reasoning_reported_output_tokens": 35 }, "response_count": 35, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 58960, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 34, "model_tool_calls_by_name": { "exec": 34 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 8.45, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 338, "captured_samples": 338, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 338, "end_time_s": 33.71999999999946, "error": null, "experimental": true, "fps": 10, "received_samples": 338, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "14d74b356a682d620f371366fc8700e15119ff9d1b549d32d3fa0f550f545ad4", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 843 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "45-robodojo-stack-blocks-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "ade868f23657c634602c3d72126f68dcc4d966f5625c0d762c0534e68cc3357f", "protocol_sha256": "739b225b6df68661a4a1e1d7b03b8746eb82f4857dd7917dbc4a32d2fa99e6b0" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arm_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/resources/tools/arm_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/stack_blocks.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/45/seed-0/resources/memos/stack_blocks.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 79, "observed_images": 10, "tool_errors": 3 }, "selected_for_formal_metrics": true }, { "id": "task04-46-seed0-formal", "task_key": "task04/46", "family": "task04", "slot": "46", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1265, "success": true, "termination": "success" }, "steps": 1265, "simulation_time_s": null, "wall_time_s": 484.775267, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "stack the blocks from bottom to top in the order of blue, yellow, and orange, then reset the robot arm.", "instruction": "stack the blocks from bottom to top in the order of blue, yellow, and orange, then reset the robot arm.", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9691445218090995, "cache_reported_input_tokens": 1362092, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1362092, "cached_input_tokens": 1320064, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1362092, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1320064, "known_input_tokens": 1362092, "known_output_tokens": 9240, "known_reasoning_output_tokens": 2401, "output_tokens": 9240, "reasoning_output_tokens": 2401, "reasoning_reported_output_tokens": 9240, "reported_responses": { "cache_reported_input_tokens": 40, "cache_write_input_tokens": 40, "cache_write_reported_input_tokens": 40, "cached_input_tokens": 40, "input_tokens": 40, "output_tokens": 40, "reasoning_output_tokens": 40, "reasoning_reported_output_tokens": 40 }, "response_count": 40, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 42028, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 39, "model_tool_calls_by_name": { "exec": 39 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 12.65, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 507, "captured_samples": 507, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 507, "end_time_s": 50.5999999999991, "error": null, "experimental": true, "fps": 10, "received_samples": 507, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "b12e476c01706947b21dda7039b51317f0f6756ae4fdf68a0553a132b563ff2c", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,265 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "46-robodojo-stack-blocks-by-language-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "0ae5a5833e7f68ded44ad0c61180a020af6b4d24d89b4f8c959ef649c3cc5a74", "protocol_sha256": "0353fcd3c3f4918cb27247a7ab486a7a8257fe72da1367bd5e66477b4333d346" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo_arx.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/46/seed-0/resources/memos/robodojo_arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 91, "observed_images": 17, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-48-seed0-formal", "task_key": "task04/48", "family": "task04", "slot": "48", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1209, "success": true, "termination": "success" }, "steps": 1209, "simulation_time_s": null, "wall_time_s": 460.741037, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Stack the three bowls together.", "instruction": "Stack the three bowls into one centered, nested stack with every opening facing up. Keep the bottom bowl level on the table and settle the other two evenly inside it. Release the bowls and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9609032332392465, "cache_reported_input_tokens": 972152, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 972152, "cached_input_tokens": 934144, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 972152, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 934144, "known_input_tokens": 972152, "known_output_tokens": 6498, "known_reasoning_output_tokens": 1172, "output_tokens": 6498, "reasoning_output_tokens": 1172, "reasoning_reported_output_tokens": 6498, "reported_responses": { "cache_reported_input_tokens": 30, "cache_write_input_tokens": 30, "cache_write_reported_input_tokens": 30, "cached_input_tokens": 30, "input_tokens": 30, "output_tokens": 30, "reasoning_output_tokens": 30, "reasoning_reported_output_tokens": 30 }, "response_count": 30, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 38008, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 29, "model_tool_calls_by_name": { "exec": 29 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 12.1, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 485, "captured_samples": 485, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 484, "end_time_s": 48.35999999999915, "error": null, "experimental": true, "fps": 10, "received_samples": 485, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "26f8d160bad64d134ff067c48ac63b143d9d12be020ee329ad6d5d46d846e9f6", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,209 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "48-robodojo-stack-bowls-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "0031361824727b4645bee2c9bdf1c63e23dab16d5ab4039c8b8c16e583df2893", "protocol_sha256": "e276da876239aed4f22db9100d1674254fb5c5893a8ab8bde9004a87801e33da" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/media-validation.json" }, "resources": [ { "name": "tools/bowl_vision.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/resources/tools/bowl_vision.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/stack-bowls.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/48/seed-0/resources/memos/stack-bowls.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 70, "observed_images": 19, "tool_errors": 4 }, "selected_for_formal_metrics": true }, { "id": "task04-51-seed0-formal", "task_key": "task04/51", "family": "task04", "slot": "51", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1046, "success": true, "termination": "success" }, "steps": 1046, "simulation_time_s": null, "wall_time_s": 501.073897, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pick up the two T-shaped blocks, swap their positions, and place them back with the correct orientations.", "instruction": "Swap the two T-shaped blocks. Put each block at the other block's original position, matching the orientation that the other block had there. Place both flat on the table, release them, and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.974693113107188, "cache_reported_input_tokens": 2182726, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2182726, "cached_input_tokens": 2127488, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 2182726, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 2127488, "known_input_tokens": 2182726, "known_output_tokens": 11222, "known_reasoning_output_tokens": 3038, "output_tokens": 11222, "reasoning_output_tokens": 3038, "reasoning_reported_output_tokens": 11222, "reported_responses": { "cache_reported_input_tokens": 51, "cache_write_input_tokens": 51, "cache_write_reported_input_tokens": 51, "cached_input_tokens": 51, "input_tokens": 51, "output_tokens": 51, "reasoning_output_tokens": 51, "reasoning_reported_output_tokens": 51 }, "response_count": 51, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 55238, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 50, "model_tool_calls_by_name": { "exec": 50 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 10.45, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 420, "captured_samples": 420, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 419, "end_time_s": 41.839999999999286, "error": null, "experimental": true, "fps": 10, "received_samples": 420, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "22b3d2c47ea88eedd37ee6ea358e2f2fa431bae8983eb2bf1371f953a5492716", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,046 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "51-robodojo-swap-t-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "fd18e60507a4e4f05e805b01e5054004ecd7e6f8bd14a46bfd856484ec82d1da", "protocol_sha256": "1b0efaab6f68b573e59b4805686ca303c55abe32e88e5dd336e1df6e2cc12c60" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/arx_vision.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/resources/tools/arx_vision.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo_arx.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/51/seed-0/resources/memos/robodojo_arx.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 113, "observed_images": 18, "tool_errors": 2 }, "selected_for_formal_metrics": true }, { "id": "task04-52-seed0-formal", "task_key": "task04/52", "family": "task04", "slot": "52", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1447, "success": false, "termination": "stopped" }, "steps": 1447, "simulation_time_s": null, "wall_time_s": 522.548959, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Swap the two blocks using the empty mat, pressing the button after each move.", "instruction": "Swap the blocks in three moves using the empty mat as temporary space. Lift one block at a time and release it centered on its destination mat. After each placement, press the button once, withdraw the gripper completely, and wait for the button to rise fully before continuing. Finish with the blocks on each other\u2019s original mats and both arms at their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9718390006317742, "cache_reported_input_tokens": 1785448, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1785448, "cached_input_tokens": 1735168, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1785448, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1735168, "known_input_tokens": 1785448, "known_output_tokens": 11732, "known_reasoning_output_tokens": 4381, "output_tokens": 11732, "reasoning_output_tokens": 4381, "reasoning_reported_output_tokens": 11732, "reported_responses": { "cache_reported_input_tokens": 46, "cache_write_input_tokens": 46, "cache_write_reported_input_tokens": 46, "cached_input_tokens": 46, "input_tokens": 46, "output_tokens": 46, "reasoning_output_tokens": 46, "reasoning_reported_output_tokens": 46 }, "response_count": 46, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 50280, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 45, "model_tool_calls_by_name": { "exec": 45 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 14.45, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 580, "captured_samples": 580, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 579, "end_time_s": 57.879999999998944, "error": null, "experimental": true, "fps": 10, "received_samples": 580, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "b8019add814858f14b59c428208da9e4dbb0c60ea92538dfc113b45abc24c102", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,447 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "52-robodojo-swap-blocks-codex-seed0-attempt02", "attempt": 2, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "96254f264e46a0fe599c4a7b14262aa7fb495dbf5a91dd5f77d3db0b1212ad03", "protocol_sha256": "b13933dd9228ca4b0ce123b8d301924aef1635fa85b203cac66a3525eab23346" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/media-validation.json" }, "resources": [ { "name": "tools/arx_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/resources/tools/arx_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/52/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 104, "observed_images": 19, "tool_errors": 1 }, "selected_for_formal_metrics": true }, { "id": "task04-53-seed0-formal", "task_key": "task04/53", "family": "task04", "slot": "53", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 6753, "success": false, "termination": "stopped" }, "steps": 6753, "simulation_time_s": null, "wall_time_s": 3020.774384, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Pick up the broom, hand it over to the right hand, then use the dustpan to sweep the blocks.", "instruction": "Pick up the broom, hand it over to the right hand, and sweep all the small blocks into the dustpan. Keep the dustpan on the table, level and to the left of the broom, with every block collected inside. Leave the dustpan down and return both arms to their starting poses.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9898404802868557, "cache_reported_input_tokens": 14232661, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 14232661, "cached_input_tokens": 14088064, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 14232661, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 14088064, "known_input_tokens": 14232661, "known_output_tokens": 48099, "known_reasoning_output_tokens": 27321, "output_tokens": 48099, "reasoning_output_tokens": 27321, "reasoning_reported_output_tokens": 48099, "reported_responses": { "cache_reported_input_tokens": 207, "cache_write_input_tokens": 207, "cache_write_reported_input_tokens": 207, "cached_input_tokens": 207, "input_tokens": 207, "output_tokens": 207, "reasoning_output_tokens": 207, "reasoning_reported_output_tokens": 207 }, "response_count": 207, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 144597, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 206, "model_tool_calls_by_name": { "exec": 206 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "passed": true, "width": 2880, "height": 720, "duration_s": 67.55, "speed": 4, "source_fps": 10, "output_fps": 20, "recording": { "accepted_samples": 2702, "captured_samples": 2702, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2702, "end_time_s": 270.11999999999057, "error": null, "experimental": true, "fps": 10, "received_samples": 2702, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 720, "name": "third_person", "pose": null, "source": "third_person", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "left_wrist", "pose": null, "source": "left_wrist", "width": 960 }, { "fov_y": 45.0, "height": 720, "name": "right_wrist", "pose": null, "source": "right_wrist", "width": 960 } ] }, "view_names": [ "third_person", "left_wrist", "right_wrist" ], "sha256": "2bdaf9f86ab60e4622871ff150b1d42fdc41ff097ab8f27ec201e19e320cd3f8", "scope": "Native spectator recording postprocessed at 4x; no replay or rerender" }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 6,753 / 7,500 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "dce899056cc4d68057e15fc743e8853721d2c02a1ef051561d31607f7636bd10", "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "742ec96151dd0d5549d4febb7e091167a35d7886af224fa26d4c464197ea6050", "revision": "5f487ee5121a775aa6ea90919c8f5e3d31318906", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" } }, "job": "53-robodojo-sweep-blocks-codex-seed0-attempt02", "attempt": 2, "harness": "stock Codex CLI", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:25d96b00418501e325d0554afd10e5f882fa4f99ba3893ed8987eda62c648978", "task": "sha256:055fd5f30401593e71395b11f73477b9bb004b010f08e2cd51add60e7bf58f1a" }, "session_original_sha256": "be31666114aa261782249264dd083ce5b32fbb390f72531eecbc57b471e032f9", "protocol_sha256": "56d44fedec316c2ce14ed4b5c39044883d7c867957d2d59950232a1041e8cfbd" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/media-validation.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "skills/robodojo/SKILL.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/resources/skills/robodojo/SKILL.md", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/robodojo.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task04/53/seed-0/resources/memos/robodojo.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 439, "observed_images": 53, "tool_errors": 9 }, "selected_for_formal_metrics": true }, { "id": "task06-01-seed0-formal", "task_key": "task06/01", "family": "task06", "slot": "01", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1647, "success": true, "termination": "success" }, "steps": 1647, "simulation_time_s": null, "wall_time_s": 464.00539, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "move forward to pick up the apple", "instruction": "move forward to pick up the apple", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9760161493873662, "cache_reported_input_tokens": 2168751, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2168751, "cached_input_tokens": 2116736, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 2168751, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 2116736, "known_input_tokens": 2168751, "known_output_tokens": 10358, "known_reasoning_output_tokens": 2642, "output_tokens": 10358, "reasoning_output_tokens": 2642, "reasoning_reported_output_tokens": 10358, "reported_responses": { "cache_reported_input_tokens": 51, "cache_write_input_tokens": 51, "cache_write_reported_input_tokens": 51, "cached_input_tokens": 51, "input_tokens": 51, "output_tokens": 51, "reasoning_output_tokens": 51, "reasoning_reported_output_tokens": 51 }, "response_count": 51, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 52015, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 50, "model_tool_calls_by_name": { "exec": 50 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 330, "published_frames": 330, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 329, "duration_s": 8.25, "sha256": "150793049613641f92ab0b852616b6b9aacdf375e4f008073f11135ca392b9d3", "source_sha256": { "camera_head_left.mp4": "0f5819bef4a0945848f2d063b650937cecdfe200cc46ac638f1a2c4cab99a080", "camera_head_right.mp4": "e6063cc674cba09ea1de0afb39f1b993ffc925d0dbe070aa7810cfd4ca3df657" }, "all_frames_compared": 330, "minimum_frame_psnr_db": 37.79412954473138, "maximum_frame_rgb_mae": 2.4294040203094482, "terminal_frame_psnr_db": 37.79412954473138, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 331, "captured_samples": 331, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 330, "end_time_s": 32.93999999999955, "error": null, "experimental": true, "fps": 10, "received_samples": 331, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,647 / 10,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "independent_verifier_review": "Visible grasp and lift agree with native success. Predicate measures apple height, without proving grasp quality or a stable hold." }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "5b1428b96104cb17b52215bce0ec33b880c5c591d01d4ecc2867cdc647940bda", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "5e90464ff5b67edba2a8e653e68cba5f7065c19f92f34a29689703d61e04d305", "dirty": true, "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-01-xmove-pick-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 7, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 5, "concurrency_note": "One GPU per active SIMPLE episode; Kinex and Codex share a five-GPU dispatch pool.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:3fb135c4db8092900969023cfe52e4bddfc8960b6296318fda47c72e80e5f667", "task": "sha256:730c5fc8ca66ce7bb07635943de71bd443d99c4f6ce962e01d35e90a3aec5c28" }, "session_original_sha256": "29067b49075c1c5d5cdd631d468dadf93b723afdb8d9dbf270edd4dab18d1ff6", "protocol_sha256": "00eb3775803cfae2d59017b38de6849c91902a1b82cb9d64b59a0fab03cc5f20" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/native/evidence/episode/evidence/final-observation.json", "independent_review": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/validation/simple/original-run-review.json" }, "resources": [ { "name": "tools/g1_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/resources/tools/g1_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/g1_simple.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/01/seed-0/resources/memos/g1_simple.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 114, "observed_images": 20, "tool_errors": 2 }, "selected_for_formal_metrics": true, "visual_review": { "status": "no_confirmed_mismatch", "confidence": "medium", "native_verdict_retained": true, "review": "Visible grasp and lift agree with native success. Predicate measures apple height, without proving grasp quality or a stable hold." } }, { "id": "task06-02-transfer-between-tables-codex-seed0-instruction-attempt04", "task_key": "task06/02", "family": "task06", "slot": "02", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1181, "success": true, "termination": "success" }, "steps": 1181, "simulation_time_s": null, "wall_time_s": 399.316915, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "pick up the cracker box from table1,locomotion to table2,and place on table2.", "instruction": "Pick up the cracker box from table1, carry it to table2, and release it inside the basket on table2.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9715884524975027, "cache_reported_input_tokens": 1609768, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1609768, "cached_input_tokens": 1564032, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1609768, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1564032, "known_input_tokens": 1609768, "known_output_tokens": 6000, "known_reasoning_output_tokens": 1350, "output_tokens": 6000, "reasoning_output_tokens": 1350, "reasoning_reported_output_tokens": 6000, "reported_responses": { "cache_reported_input_tokens": 40, "cache_write_input_tokens": 40, "cache_write_reported_input_tokens": 40, "cached_input_tokens": 40, "input_tokens": 40, "output_tokens": 40, "reasoning_output_tokens": 40, "reasoning_reported_output_tokens": 40 }, "response_count": 40, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 45736, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 39, "model_tool_calls_by_name": { "exec": 39 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 237, "published_frames": 237, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 236, "duration_s": 5.925, "sha256": "be70b506fc5ec3a8fc14017702a9293a46fabe90b767a828a515f6051715bd7a", "source_sha256": { "camera_head_left.mp4": "b71debdd0fba3fce507aa0117a1e94b4d4f47914b05de2672e25d07bb00880ba", "camera_head_right.mp4": "afeff34674dbb7460648c7f8861e26cdd63da59da44bd4b9f2d0866bba734deb" }, "all_frames_compared": 237, "minimum_frame_psnr_db": 37.47335323653394, "maximum_frame_rgb_mae": 2.4073662757873535, "terminal_frame_psnr_db": 40.89991027673416, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 238, "captured_samples": 238, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 237, "end_time_s": 23.619999999999585, "error": null, "experimental": true, "fps": 10, "received_samples": 238, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\uff0c\u7ec8\u6001\u8bc1\u636e\u6709\u6548\uff0c\u7528\u91cf\u5b8c\u6574\u3002", "instruction": "\u672c\u56de\u5408\u660e\u786e\u8981\u6c42\u5c06\u7bb1\u5b50\u653e\u5165 table2 \u4e0a\u7684\u7bee\u5b50\u5e76\u677e\u624b\u3002", "visible_completion": "\u5b8c\u6574\u53cc\u76ee\u89c6\u9891\u663e\u793a\u4ece table1 \u6293\u53d6\u7bb1\u5b50\u3001\u79fb\u52a8\u5230 table2\uff0c\u7136\u540e\u6253\u5f00\u53f3\u624b\u5c06\u7bb1\u5b50\u7559\u5728\u7bee\u5b50\u4e2d\u592e\u9644\u8fd1\u3002\u96f6\u6a21\u578b\u3001\u96f6\u7269\u7406\u6b65\u7684\u5c01\u5b58\u7ec8\u6001\u63a5\u89e6\u68c0\u67e5\u786e\u8ba4\uff1a\u7bb1\u5b50\u4ec5\u4e0e\u7bee\u5b50\u63a5\u89e6\uff0c\u65e0\u624b\u6307\u6216\u624b\u638c\u63a5\u89e6\uff0c\u5df2\u8131\u79bb\u624b\u90e8\u3002", "duration": "\u4f7f\u7528 1,181 / 15,000 \u4e2a\u63a7\u5236\u6b65\uff0cnative termination=success\u3002", "comparison": "\u6b64\u524d Codex \u56de\u5408\u628a\u7bb1\u5b50\u653e\u5728 table2 \u7684\u7bee\u5b50\u4e4b\u5916\uff0c\u6b64\u6b21\u660e\u786e\u8fdb\u5165\u7bee\u5b50\u3002\u8be5\u5355\u6b21 fresh seed-0 \u5bf9\u6bd4\u4e0d\u80fd\u72ec\u7acb\u8bc1\u660e instruction \u7684\u56e0\u679c\u589e\u76ca\u3002", "limitation": "\u539f\u751f\u6210\u529f\u4f1a\u7acb\u5373\u7ec8\u6b62\u3002\u5f00\u624b\u8f68\u8ff9\u5c1a\u672a\u5b8c\u5168\u5230\u8fbe\u5168\u96f6\u76ee\u6807\uff0c\u4f46\u7ec8\u6001\u5df2\u7ecf\u6ca1\u6709\u624b\u90e8\u63a5\u89e6\uff1b\u89c6\u9891\u6ca1\u6709\u63d0\u4f9b\u957f\u65f6\u95f4\u677e\u624b\u540e\u7684\u7a33\u5b9a\u6027\u89c2\u5bdf\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "bbd03a94ca5776307435b6ed81c0f935a17f836b9ee80770069b58162d5e7e8f", "dirty": true, "revision": "f1935004c2fb23501b937cd29b826f69a06214b2", "snapshot": "/shared/evaluations/kinex-v010-task04-20261006T151944Z/additional-campaigns/simple-g1-media-instruction-fix-20261010T181909Z/sources/RLE-Bench-inhouse", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "0ea971928890164e2c1b0056a6cc3ebd0d1a306a63746193c33cf0b6e15a9aa2", "dirty": true, "reuse": "Exact 15000-step deployment owner source; no edits", "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "snapshot": "/shared/evaluations/kinex-v010-task04-20261006T151944Z/additional-campaigns/simple-g1-media-instruction-fix-20261010T181909Z/sources/RoboEnv", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "reuse": "Exact existing agent image and frozen Kinex revision", "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-02-transfer-between-tables-codex-seed0-instruction-attempt04", "attempt": 4, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 4, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 8, "concurrency_note": "At most one added SIMPLE episode per GPU, admitted with spare memory and low utilization; existing environments remain active.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:0093e794ce2fe8d5ab270fccfc8aef2ee8faf15d040d5a83f8c9416335b19217", "task": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957" }, "session_original_sha256": "e6faf0ffb7832be5675b921da751e9150812a2f55a71dc9f2e230a0e06e5fc34", "protocol_sha256": "65790369d3ac63adf8cf3493d7a2da1412870db04b55465d1cc8f7dd66f489ef", "condition": "modified-instructions", "max_steps": 15000, "same_protocol_replacement": false, "previous_selection": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-attempt02", "native_verifier_changed": false, "setup_failure_predecessor": "task06-02-transfer-between-tables-codex-seed0-instruction-attempt03", "replacement_reason": "Eight simultaneous cold starts exceeded the initialization deadline under shared CPU load.", "predecessor_model_calls": 0, "predecessor_measured_episodes": 0 }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { "name": "tools/g1_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/resources/tools/g1_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/g1_manipulation.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/resources/memos/g1_manipulation.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 91, "observed_images": 14, "tool_errors": 2 }, "selected_for_formal_metrics": true, "visual_review": { "status": "consistent_pass", "visible_goal_completed": true, "false_positive": false, "false_negative": false, "confidence": "high", "native_verifier_changed": false, "release_command_observed": true, "release_command_target": [ 0, 0, 0, 0, 0, 0, 0 ], "reviewed_samples": [ 0, 47, 94, 142, 156, 189, 196, 236 ], "terminal_state_review": "Placement is visible. Independent reconstruction finds three basket contacts and no finger or palm contacts at the sealed pose. The opening trajectory did not need to reach its zero target to release the box. No extended settling period was recorded.", "release_command_completed": false, "actual_terminal_hand_positions": { "left_hand": { "left_hand_thumb_0_joint": 0.014547852255075253, "left_hand_thumb_1_joint": -0.018311079482944432, "left_hand_thumb_2_joint": -0.000553219101044073, "left_hand_index_0_joint": -0.0018576487346638059, "left_hand_index_1_joint": 4.9241592551884685e-06, "left_hand_middle_0_joint": 0.0005199073215739375, "left_hand_middle_1_joint": 0.000419273511670888 }, "right_hand": { "right_hand_thumb_0_joint": 0.008073401926713226, "right_hand_thumb_1_joint": 0.2841115032473764, "right_hand_thumb_2_joint": -0.5911596277555279, "right_hand_index_0_joint": 0.5665201739483607, "right_hand_index_1_joint": 0.6128393323342631, "right_hand_middle_0_joint": 0.5634056302364534, "right_hand_middle_1_joint": 0.6103175058222502 } }, "independent_terminal_contact_check": { "passed": true, "model_calls": 0, "physics_steps": 0, "reward_checks_invoked": 0, "input_sha256": "d317396709b8dd6ac6ebcc830c3a5ae4883aa6c9991025869f4afda0aac45c94", "input_task": "simple/transfer-between-tables", "native_implementation": { "backend": "simple", "dependencies_sha256": "b655ef7dd8620ec89bc34238efb9a1ea70178f569afe1f429a6de9494840ee5f", "implementation_sha256": "b184ced6cf472c3554fda97879a31cffcce98416acc28b4d6a4672529017d19b", "selection": "shared-and-selected-backend/1", "sources_sha256": "aae5710e1a7dd1e87d63a827b5e93881bc71c19aba1f6f0555fdf41c552c572a" }, "model_state_size": 709, "nq": 92, "sealed_time": 26.50499999999901, "target_contacts": [ { "pair": [ { "body": "brasket", "geom": "brasket_convex_1", "mesh": "brasket_mesh_convex1" }, { "body": "cracker_box", "geom": "cracker_box_convex_0", "mesh": "cracker_box_mesh_convex0" } ], "distance_m": -0.00044468320433578275, "position": [ -2.503625753334981, 0.13804563772605238, 0.6715523495548237 ], "recognized_as_hand_by_native": false, "palm_collision_geometry": false, "container_contact": true }, { "pair": [ { "body": "brasket", "geom": "brasket_convex_6", "mesh": "brasket_mesh_convex6" }, { "body": "cracker_box", "geom": "cracker_box_convex_0", "mesh": "cracker_box_mesh_convex0" } ], "distance_m": -0.0010050880855029367, "position": [ -2.4980351299194843, 0.14453658542393416, 0.671122208883927 ], "recognized_as_hand_by_native": false, "palm_collision_geometry": false, "container_contact": true }, { "pair": [ { "body": "brasket", "geom": "brasket_convex_17", "mesh": "brasket_mesh_convex17" }, { "body": "cracker_box", "geom": "cracker_box_convex_0", "mesh": "cracker_box_mesh_convex0" } ], "distance_m": -0.0005650584038646472, "position": [ -2.532908968654665, 0.2860293551313309, 0.7253940312330712 ], "recognized_as_hand_by_native": false, "palm_collision_geometry": false, "container_contact": true } ], "recognized_hand_contacts": 0, "palm_contacts": 0, "container_contacts": 3, "source_files_edited": false, "native_scene_assembly_used": true, "diagnostic_bypasses": [ "Unused controller setup", "Unused renderers" ], "limitation": "Contacts are recomputed at the exact sealed pose with mj_forward, rather than reusing the prior substep contact cache.", "measured_task_image": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957", "input_hash_scope": "Original sealed native observation before any public redaction" } }, "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/02/seed-0-instruction-attempt04/" }, { "id": "task06-03-seed0-formal-attempt02", "task_key": "task06/03", "family": "task06", "slot": "03", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 13225, "success": false, "termination": "stopped" }, "steps": 13225, "simulation_time_s": null, "wall_time_s": 3398.536602, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "bend the robot and pick up the cracker box", "instruction": "bend the robot and pick up the cracker box", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9906796551805874, "cache_reported_input_tokens": 19912568, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 19912568, "cached_input_tokens": 19726976, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 19912568, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 19726976, "known_input_tokens": 19912568, "known_output_tokens": 53777, "known_reasoning_output_tokens": 29418, "output_tokens": 53777, "reasoning_output_tokens": 29418, "reasoning_reported_output_tokens": 53777, "reported_responses": { "cache_reported_input_tokens": 199, "cache_write_input_tokens": 199, "cache_write_reported_input_tokens": 199, "cached_input_tokens": 199, "input_tokens": 199, "output_tokens": 199, "reasoning_output_tokens": 199, "reasoning_reported_output_tokens": 199 }, "response_count": 199, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 185592, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 198, "model_tool_calls_by_name": { "exec": 198 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 2646, "published_frames": 2646, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 2645, "duration_s": 66.15, "sha256": "2a4ac1ed9f845b79af84dcf65789d842a33e95128f8971f6a56922a3113c4686", "source_sha256": { "camera_head_left.mp4": "af5f39c0b2374bfa015cf484d3675514391f2a2c2d350754f216a1db6a9cd352", "camera_head_right.mp4": "b958116064f694049be4c00200ca795ff55f8296d1725c1053c4ff1c38c0bad7" }, "all_frames_compared": 2646, "minimum_frame_psnr_db": 36.3670068295568, "maximum_frame_rgb_mae": 2.740797281265259, "terminal_frame_psnr_db": 37.74187212350012, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 2646, "captured_samples": 2646, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2646, "end_time_s": 264.5000000000494, "error": null, "experimental": true, "fps": 10, "received_samples": 2646, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 13,225 / 15,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002", "independent_verifier_review": "No confirmed successful pickup. Very dark/occluded intervals at published 30.95-34.25 s and 35.60-37.55 s impair inspection; no codec failure or freeze is detected." }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "c9c6cd1b554380cfffee56b9a7bb47e102296d7bd38690f3ddcef2a4a5ca7bfc", "dirty": true, "revision": "2f315b78ab45a2978c2a69b7c33ec8fa4f78f618", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "0ea971928890164e2c1b0056a6cc3ebd0d1a306a63746193c33cf0b6e15a9aa2", "dirty": true, "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-03-bend-pick-codex-seed0-attempt02", "attempt": 2, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 1, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 8, "concurrency_note": "One GPU per active SIMPLE episode; dispatch only on idle GPUs.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:0093e794ce2fe8d5ab270fccfc8aef2ee8faf15d040d5a83f8c9416335b19217", "task": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957" }, "session_original_sha256": "60184b24191da9628e75487406e4d931d121fba77f53cec58357e3de312ef2a7", "protocol_sha256": "2c8057fc409a635e57ae5ba5271c598c3b41e073da910cffbf025f1be770495a", "deployment": "failed10000-rerun15000-20261010T020844Z", "max_steps": 15000, "budget_revision": "failed10000-rerun15000-20261010T020844Z", "same_protocol_replacement": false, "replaces_user_interrupted_attempt": null, "replacement_reason": "Explicit user-authorized fresh rerun of a completed 10000-step native failure with 15000 steps.", "previous_native_failure": "task06-03-bend-pick-codex-seed0-attempt01", "previous_max_steps": 10000 }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/native/evidence/episode/evidence/final-observation.json", "independent_review": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/validation/simple/original-run-review.json" }, "resources": [ { "name": "tools/g1_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/resources/tools/g1_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/g1_manipulation.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/03/seed-0-attempt02/resources/memos/g1_manipulation.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 423, "observed_images": 140, "tool_errors": 1 }, "selected_for_formal_metrics": true, "visual_review": { "status": "visibility_problem", "confidence": "medium", "native_verdict_retained": true, "review": "No confirmed successful pickup. Very dark/occluded intervals at published 30.95-34.25 s and 35.60-37.55 s impair inspection; no codec failure or freeze is detected." } }, { "id": "task06-04-bend-pick-and-place-codex-seed0-instruction-attempt04", "task_key": "task06/04", "family": "task06", "slot": "04", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 15, "success": true, "termination": "success" }, "steps": 15, "simulation_time_s": null, "wall_time_s": 67.473848, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "bend to grasp the cracker box and drop it in the basket.", "instruction": "Bend down, pick up the cracker box, and release it above the center of the basket so it drops inside.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9039477677563947, "cache_reported_input_tokens": 257006, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 257006, "cached_input_tokens": 232320, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 257006, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 232320, "known_input_tokens": 257006, "known_output_tokens": 1562, "known_reasoning_output_tokens": 162, "output_tokens": 1562, "reasoning_output_tokens": 162, "reasoning_reported_output_tokens": 1562, "reported_responses": { "cache_reported_input_tokens": 9, "cache_write_input_tokens": 9, "cache_write_reported_input_tokens": 9, "cached_input_tokens": 9, "input_tokens": 9, "output_tokens": 9, "reasoning_output_tokens": 9, "reasoning_reported_output_tokens": 9 }, "response_count": 9, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 24686, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 8, "model_tool_calls_by_name": { "exec": 8 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 4, "published_frames": 4, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 3, "duration_s": 0.1, "sha256": "36dfc24e74866c3bf1cc5df293fa8f30226c4aa20cebfb52e4ffa20062d472fb", "source_sha256": { "camera_head_left.mp4": "12dda1b9000f90f5610385e0c6e39f00ec3af84383f51793e886e8eaee88cc48", "camera_head_right.mp4": "a20620246ab20a3350fb81ee3af798ff00d55a6f4cf8cd0f4a1608b5ae2bd26a" }, "all_frames_compared": 4, "minimum_frame_psnr_db": 36.85036165937504, "maximum_frame_rgb_mae": 2.667937755584717, "terminal_frame_psnr_db": 36.85036165937504, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 4, "captured_samples": 4, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 4, "end_time_s": 0.3, "error": null, "experimental": true, "fps": 10, "received_samples": 4, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\uff0c\u7ec8\u6001\u8bc1\u636e\u6709\u6548\uff0c\u7528\u91cf\u5b8c\u6574\uff1b\u72ec\u7acb\u89c6\u9891\u5ba1\u67e5\u786e\u8ba4\u8bef\u901a\u8fc7\u3002", "instruction": "\u672c\u56de\u5408\u5df2\u660e\u786e\u8981\u6c42\u5f2f\u8170\u6293\u53d6\u7bb1\u5b50\uff0c\u5e76\u5728\u7bee\u5b50\u4e2d\u592e\u4e0a\u65b9\u677e\u624b\u4f7f\u5176\u843d\u5165\u3002", "visible_completion": "\u5168\u90e8 4 \u4e2a\u539f\u751f\u53cc\u76ee\u91c7\u6837\u53ea\u663e\u793a\u5f2f\u8170\uff0c\u7bb1\u5b50\u4f4d\u4e8e\u673a\u5668\u4eba\u817f\u65c1\u548c\u7bee\u5b50\u5916\u4fa7\uff0c\u6ca1\u6709\u6293\u53d6\u6216\u653e\u5165\u3002\u53cc\u624b\u59cb\u7ec8\u5f20\u5f00\uff0c\u5c01\u5b58\u65e5\u5fd7\u4e2d\u6ca1\u6709\u624b\u90e8\u5199\u5165\u52a8\u4f5c\u3002 \u96f6\u6a21\u578b\u3001\u96f6\u7269\u7406\u6b65\u7684\u7ec8\u6001\u63a5\u89e6\u91cd\u5efa\u786e\u8ba4\uff0c\u7bb1\u5b50\u4ecd\u540c\u65f6\u63a5\u89e6\u539f\u53f0\u9762\u548c\u7bee\u5b50\u3002", "duration": "\u4ec5\u4f7f\u7528 15 / 15,000 \u4e2a\u63a7\u5236\u6b65\uff080.30 \u79d2\u539f\u751f\u63a7\u5236\u65f6\u95f4\uff09\u5373 native success\uff0c\u9996\u6b21\u5f2f\u8170\u52a8\u4f5c\u5c1a\u672a\u5b8c\u6210\u3002", "cause": "\u51bb\u7ed3 verifier \u4e0d\u8981\u6c42\u6293\u53d6\u5386\u53f2\u548c\u7a33\u5b9a\u7684\u7bee\u5185\u653e\u7f6e\uff1b\u521d\u59cb\u7bb1\u5b50\u5728\u7bee\u5b50\u65c1\uff0c\u8f7b\u5fae\u59ff\u6001\u53d8\u5316\u5373\u53ef\u89e6\u53d1\u6210\u529f\u7d2f\u79ef\u53ca\u63d0\u524d\u7ec8\u6b62\u3002\u660e\u786e instruction \u65e0\u6cd5\u963b\u6b62\u8fd9\u79cd\u539f\u751f\u63d0\u524d\u63a5\u53d7\u3002", "comparison": "\u4fee\u8ba2 instruction \u540e\u4ecd\u53d1\u751f\u8bef\u901a\u8fc7\uff0c\u4e0d\u80fd\u5c06\u6b64\u539f\u751f PASS \u5f53\u4f5c\u4efb\u52a1\u5b8c\u6210\u7684\u53ef\u9760\u8bc1\u636e\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "bbd03a94ca5776307435b6ed81c0f935a17f836b9ee80770069b58162d5e7e8f", "dirty": true, "revision": "f1935004c2fb23501b937cd29b826f69a06214b2", "snapshot": "/shared/evaluations/kinex-v010-task04-20261006T151944Z/additional-campaigns/simple-g1-media-instruction-fix-20261010T181909Z/sources/RLE-Bench-inhouse", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "0ea971928890164e2c1b0056a6cc3ebd0d1a306a63746193c33cf0b6e15a9aa2", "dirty": true, "reuse": "Exact 15000-step deployment owner source; no edits", "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "snapshot": "/shared/evaluations/kinex-v010-task04-20261006T151944Z/additional-campaigns/simple-g1-media-instruction-fix-20261010T181909Z/sources/RoboEnv", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "reuse": "Exact existing agent image and frozen Kinex revision", "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-04-bend-pick-and-place-codex-seed0-instruction-attempt04", "attempt": 4, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 1, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 8, "concurrency_note": "At most one added SIMPLE episode per GPU, admitted with spare memory and low utilization; existing environments remain active.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:0093e794ce2fe8d5ab270fccfc8aef2ee8faf15d040d5a83f8c9416335b19217", "task": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957" }, "session_original_sha256": "8b284735b8b58c5b2e8e9b2f2e416e277b1136072b70d9cd38b169f1e9997386", "protocol_sha256": "f81ffa2593ccaca210aa75fc87935c2363f3281b87c24263ca9963b479ad1582", "condition": "modified-instructions", "max_steps": 15000, "same_protocol_replacement": false, "previous_selection": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-attempt02", "native_verifier_changed": false, "setup_failure_predecessor": "task06-04-bend-pick-and-place-codex-seed0-instruction-attempt03", "replacement_reason": "Eight simultaneous cold starts exceeded the initialization deadline under shared CPU load.", "predecessor_model_calls": 0, "predecessor_measured_episodes": 0 }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { "name": "tools/roboenv_snapshot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/resources/tools/roboenv_snapshot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/roboenv.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/resources/memos/roboenv.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 24, "observed_images": 2, "tool_errors": 2 }, "selected_for_formal_metrics": true, "visual_review": { "status": "confirmed_false_positive", "visible_goal_completed": false, "false_positive": true, "false_negative": false, "confidence": "high", "native_verifier_changed": false, "pickup_history_observed": false, "hand_write_count": 0, "reviewed_samples": [ 0, 1, 2, 3 ], "terminal_object_poses": { "container": { "label": "brasket", "state_index": 51, "terminal_qpos": [ -0.2192241395896768, -0.08051240134912414, 0.4012197448499592, 0.49693016431140025, 0.4998224769879486, 0.5018351419957602, 0.5013974407126259 ], "mapping": "Unique exact match to previously audited qpos, with unchanged frozen model and state layout." }, "target": { "label": "cracker_box", "state_index": 58, "terminal_qpos": [ -0.3872390149185321, -0.06050962204007641, 0.5109277494224526, 0.9612961230719299, -0.020147332828399256, 0.22467939942400153, 0.1581866499463472 ], "mapping": "Unique exact match to previously audited qpos, with unchanged frozen model and state layout." }, "distractor_0": { "label": "toy_monkey", "state_index": 65, "terminal_qpos": [ 0.3871862651882573, 0.17948979767739442, 0.41085712291481896, 0.25555106648329645, -0.2706974837100474, 0.03198346580793792, 0.9275740308176009 ], "mapping": "Unique exact match to previously audited qpos, with unchanged frozen model and state layout." }, "distractor_1": { "label": "bowl", "state_index": 72, "terminal_qpos": [ 0.07686490834651107, 0.16832786432720373, 0.4256186606233802, 0.9948862879375171, -0.0007298166460625917, -0.0009248053279437012, -0.10099448587263041 ], "mapping": "Unique exact match to previously audited qpos, with unchanged frozen model and state layout." } }, "measured_control_steps": 15, "native_verdict_retained": true, "independent_terminal_contact_check": { "passed": true, "model_calls": 0, "physics_steps": 0, "reward_checks_invoked": 0, "input_sha256": "6794b3810e898d4724cda23f4eb348169b3c4225675e4551d023d2316ec83282", "input_task": "simple/bend-pick-and-place", "native_implementation": { "backend": "simple", "dependencies_sha256": "b655ef7dd8620ec89bc34238efb9a1ea70178f569afe1f429a6de9494840ee5f", "implementation_sha256": "b184ced6cf472c3554fda97879a31cffcce98416acc28b4d6a4672529017d19b", "selection": "shared-and-selected-backend/1", "sources_sha256": "aae5710e1a7dd1e87d63a827b5e93881bc71c19aba1f6f0555fdf41c552c572a" }, "model_state_size": 641, "nq": 78, "sealed_time": 3.564999999999946, "target_contacts": [ { "pair": [ { "body": "table", "geom": "table_geom", "mesh": null }, { "body": "cracker_box", "geom": "cracker_box_convex_0", "mesh": "cracker_box_mesh_convex0" } ], "distance_m": -0.003547762458395054, "position": [ -0.3844545935131092, -0.13806303473028383, 0.3982261187708025 ], "recognized_as_hand_by_native": false, "palm_collision_geometry": false, "container_contact": false }, { "pair": [ { "body": "brasket", "geom": "brasket_convex_5", "mesh": "brasket_mesh_convex5" }, { "body": "cracker_box", "geom": "cracker_box_convex_1", "mesh": "cracker_box_mesh_convex1" } ], "distance_m": -0.0016191378146212826, "position": [ -0.3162593205479579, -0.1218073606990798, 0.5435856863845453 ], "recognized_as_hand_by_native": false, "palm_collision_geometry": false, "container_contact": true } ], "recognized_hand_contacts": 0, "palm_contacts": 0, "container_contacts": 1, "source_files_edited": false, "native_scene_assembly_used": true, "diagnostic_bypasses": [ "Unused controller setup", "Unused renderers" ], "limitation": "Contacts are recomputed at the exact sealed pose with mj_forward, rather than reusing the prior substep contact cache.", "measured_task_image": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957", "input_hash_scope": "Original sealed native observation before any public redaction" } }, "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/04/seed-0-instruction-attempt04/" }, { "id": "task06-05-bend-handover-codex-seed0-instruction-attempt04", "task_key": "task06/05", "family": "task06", "slot": "05", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 9265, "success": false, "termination": "stopped" }, "steps": 9265, "simulation_time_s": null, "wall_time_s": 3565.594147, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "bend the robot and pick up the cracker box, then place it on the container.", "instruction": "Bend down, pick up the cracker box, then release it above the basket opening so it drops inside.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9912073526633496, "cache_reported_input_tokens": 22421916, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 22421916, "cached_input_tokens": 22224768, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 22421916, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 22224768, "known_input_tokens": 22421916, "known_output_tokens": 69606, "known_reasoning_output_tokens": 40045, "output_tokens": 69606, "reasoning_output_tokens": 40045, "reasoning_reported_output_tokens": 69606, "reported_responses": { "cache_reported_input_tokens": 218, "cache_write_input_tokens": 218, "cache_write_reported_input_tokens": 218, "cached_input_tokens": 218, "input_tokens": 218, "output_tokens": 218, "reasoning_output_tokens": 218, "reasoning_reported_output_tokens": 218 }, "response_count": 218, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 197148, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 217, "model_tool_calls_by_name": { "exec": 217 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 1854, "published_frames": 1854, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 1853, "duration_s": 46.35, "sha256": "ec9cca03f71d79cb055c4fe0699b63b56ac8dd53a9b0fe15954872af1daad2f6", "source_sha256": { "camera_head_left.mp4": "32dbf0b2f767ec3fa7ce257df08d1f2ba085f3d246401b01a9af593122a58a9d", "camera_head_right.mp4": "d90ccaed1f6a76998595a123e669301d6b830d824a9bdf3b35561c7b20e7d0dc" }, "all_frames_compared": 1854, "minimum_frame_psnr_db": 36.120242550654126, "maximum_frame_rgb_mae": 2.9573140144348145, "terminal_frame_psnr_db": 38.7119463701233, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 1854, "captured_samples": 1854, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1854, "end_time_s": 185.300000000021, "error": null, "experimental": true, "fps": 10, "received_samples": 1854, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u5931\u8d25\uff0c\u7ec8\u6001\u8bc1\u636e\u6709\u6548\uff0c\u7528\u91cf\u5b8c\u6574\uff1b\u72ec\u7acb\u753b\u9762\u590d\u6838\u4e0e\u5931\u8d25\u4e00\u81f4\u3002", "instruction": "\u672c\u56de\u5408\u660e\u786e\u8981\u6c42\u6293\u53d6\u7bb1\u5b50\uff0c\u5e76\u5728\u7bee\u5b50\u5f00\u53e3\u4e0a\u65b9\u677e\u624b\u4f7f\u5176\u843d\u5165\u3002", "visible_completion": "\u89c6\u9891\u663e\u793a\u64cd\u4f5c\u8fc7\u7a0b\u4e2d\u7bb1\u5b50\u6389\u79bb\u53f0\u9762\uff0c\u6700\u7ec8\u7559\u5728\u5730\u677f\u4e0a\u3001\u7bee\u5b50\u5916\u3002\u5c01\u5b58\u7ec8\u6001\u7bb1\u5b50\u4e2d\u5fc3 z=0.03755 m\uff0c\u7bee\u5b50\u4e2d\u5fc3 z=0.45316 m\uff0c\u76f8\u5dee\u7ea6 0.416 m\uff0c\u6ca1\u6709\u5b8c\u6210\u7bee\u5185\u653e\u7f6e\u3002", "duration": "\u4f7f\u7528 9,265 / 15,000 \u4e2a\u63a7\u5236\u6b65\uff08185.3 \u79d2\u63a7\u5236\u65f6\u95f4\uff09\uff0cagent \u4e3b\u52a8\u505c\u6b62\uff1bnative_reward=0.0\uff0cnative_success=false\u3002", "cause": "\u8be5\u56de\u5408\u672a\u628a\u6389\u5728\u5730\u677f\u4e0a\u7684\u7bb1\u5b50\u91cd\u65b0\u62fe\u8d77\u5e76\u653e\u5165\u7bee\u5b50\uff0c\u662f\u5b9e\u9645\u63a7\u5236\u5931\u8d25\uff0c\u6ca1\u6709\u8bc1\u636e\u652f\u6301\u8bef\u62d2\u7edd\u3002", "comparison": "\u6b64\u524d Codex 05 \u7684\u539f\u751f PASS \u5df2\u88ab\u539f\u59cb\u89c6\u9891\u590d\u6838\u5224\u4e3a\u8bef\u901a\u8fc7\uff1b\u6b64\u6b21\u4fee\u8ba2 instruction \u540e\u7684 fresh seed-0 \u56de\u5408\u4ecd\u672a\u5b8c\u6210\uff0c\u4f46\u539f\u751f\u5931\u8d25\u4e0e\u5b9e\u9645\u7ec8\u6001\u4e00\u81f4\u3002\u8be5\u5355\u6b21\u5dee\u5f02\u4e0d\u80fd\u8bc1\u660e instruction \u7684\u56e0\u679c\u6548\u679c\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "bbd03a94ca5776307435b6ed81c0f935a17f836b9ee80770069b58162d5e7e8f", "dirty": true, "revision": "f1935004c2fb23501b937cd29b826f69a06214b2", "snapshot": "/shared/evaluations/kinex-v010-task04-20261006T151944Z/additional-campaigns/simple-g1-media-instruction-fix-20261010T181909Z/sources/RLE-Bench-inhouse", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "0ea971928890164e2c1b0056a6cc3ebd0d1a306a63746193c33cf0b6e15a9aa2", "dirty": true, "reuse": "Exact 15000-step deployment owner source; no edits", "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "snapshot": "/shared/evaluations/kinex-v010-task04-20261006T151944Z/additional-campaigns/simple-g1-media-instruction-fix-20261010T181909Z/sources/RoboEnv", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "reuse": "Exact existing agent image and frozen Kinex revision", "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-05-bend-handover-codex-seed0-instruction-attempt04", "attempt": 4, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 5, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 8, "concurrency_note": "At most one added SIMPLE episode per GPU, admitted with spare memory and low utilization; existing environments remain active.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:0093e794ce2fe8d5ab270fccfc8aef2ee8faf15d040d5a83f8c9416335b19217", "task": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957" }, "session_original_sha256": "4a87897945962236c6215dd7caa6dfcd59bdf8e8c0064420dca0ccb0beb1624a", "protocol_sha256": "8597c49a0e89454533b82c22a68bb423d3893436d65f9ae5e9153cb256a37446", "condition": "modified-instructions", "max_steps": 15000, "same_protocol_replacement": false, "previous_selection": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-attempt02", "native_verifier_changed": false, "setup_failure_predecessor": "task06-05-bend-handover-codex-seed0-instruction-attempt03", "replacement_reason": "Eight simultaneous cold starts exceeded the initialization deadline under shared CPU load.", "predecessor_model_calls": 0, "predecessor_measured_episodes": 0 }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { "name": "tools/g1_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/resources/tools/g1_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/g1_manipulation.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/resources/memos/g1_manipulation.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 460, "observed_images": 78, "tool_errors": 4 }, "selected_for_formal_metrics": true, "visual_review": { "status": "consistent_failure", "visible_goal_completed": false, "false_positive": false, "false_negative": false, "confidence": "high", "native_verifier_changed": false, "native_verdict_retained": true, "reviewed_samples": [ 0, 371, 741, 1112, 1482, 1773, 1813, 1853 ], "terminal_object_poses": { "container": { "label": "brasket", "state_index": 51, "terminal_qpos": [ -0.26493907009176226, 0.18714995964212794, 0.4531581685400422, 0.7692535612414195, 0.14830581794173264, 0.11090923111177861, 0.6115173630701103 ], "mapping": "Unique exact match to previously audited qpos, with unchanged frozen model and state layout." }, "target": { "label": "cracker_box", "state_index": 58, "terminal_qpos": [ -0.24760553509000038, 0.11285413622116917, 0.037552045862085374, 0.6211811537453864, 0.32956603595130746, -0.6305501710730999, 0.3285219687305184 ], "mapping": "Unique exact match to previously audited qpos, with unchanged frozen model and state layout." }, "distractor_0": { "label": "toy_monkey", "state_index": 65, "terminal_qpos": [ -0.08987553547033712, 0.19956656428749517, 0.41085712291478843, 0.2555510664836823, -0.27069748370501917, 0.031983465807329615, 0.9275740308189836 ], "mapping": "Unique exact match to previously audited qpos, with unchanged frozen model and state layout." }, "distractor_1": { "label": "bowl", "state_index": 72, "terminal_qpos": [ 0.28905567795928083, 0.22201764217831088, 0.42561866062338144, 0.9948862879375167, -0.0007298166460610347, -0.0009248053283265724, -0.10099448587262949 ], "mapping": "Unique exact match to previously audited qpos, with unchanged frozen model and state layout." } }, "target_on_floor_outside_container": true }, "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/05/seed-0-instruction-attempt04/" }, { "id": "task06-06-seed0-formal-attempt02", "task_key": "task06/06", "family": "task06", "slot": "06", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 8170, "success": false, "termination": "stopped" }, "steps": 8170, "simulation_time_s": null, "wall_time_s": 1791.504625, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "Hand over cracker box from right hand to left hand and place it on the container.", "instruction": "Hand over cracker box from right hand to left hand and place it on the container.", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9716815288356057, "cache_reported_input_tokens": 8606079, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 8606079, "cached_input_tokens": 8362368, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 8606079, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 8362368, "known_input_tokens": 8606079, "known_output_tokens": 24634, "known_reasoning_output_tokens": 9316, "output_tokens": 24634, "reasoning_output_tokens": 9316, "reasoning_reported_output_tokens": 24634, "reported_responses": { "cache_reported_input_tokens": 134, "cache_write_input_tokens": 134, "cache_write_reported_input_tokens": 134, "cached_input_tokens": 134, "input_tokens": 134, "output_tokens": 134, "reasoning_output_tokens": 134, "reasoning_reported_output_tokens": 134 }, "response_count": 134, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 243711, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 133, "model_tool_calls_by_name": { "exec": 133 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 1635, "published_frames": 1635, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 1634, "duration_s": 40.875, "sha256": "70f1da2882df6bff24ddb6b28c2a1d60e537a8d47e39f1114f8e19d5220d7a44", "source_sha256": { "camera_head_left.mp4": "e5a79a8b28c3067ee31fcb6ef613f9e170f05243743eb7a9503e805f19a6fe7e", "camera_head_right.mp4": "652b23c684b1a76b645ea2935e004da001e52ed03a647dc2706d22f94eb65f8d" }, "all_frames_compared": 1635, "minimum_frame_psnr_db": 36.5375725097322, "maximum_frame_rgb_mae": 2.855112075805664, "terminal_frame_psnr_db": 41.205877086114896, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 1635, "captured_samples": 1635, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 1635, "end_time_s": 163.40000000000978, "error": null, "experimental": true, "fps": 10, "received_samples": 1635, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 8,170 / 15,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002", "independent_verifier_review": "A completed right-to-left handover plus released container placement is not shown. Active predicate omits handover and release, but this failed run is not evidence of a false negative." }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "c9c6cd1b554380cfffee56b9a7bb47e102296d7bd38690f3ddcef2a4a5ca7bfc", "dirty": true, "revision": "2f315b78ab45a2978c2a69b7c33ec8fa4f78f618", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "0ea971928890164e2c1b0056a6cc3ebd0d1a306a63746193c33cf0b6e15a9aa2", "dirty": true, "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-06-handover-codex-seed0-attempt02", "attempt": 2, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 5, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 8, "concurrency_note": "One GPU per active SIMPLE episode; dispatch only on idle GPUs.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:0093e794ce2fe8d5ab270fccfc8aef2ee8faf15d040d5a83f8c9416335b19217", "task": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957" }, "session_original_sha256": "424a9f941c54f6924dc6a20eae29e4e37bf01cc3b55518def0657ed74a637ce3", "protocol_sha256": "58bc1a052e141081c34b9ad619ecf1e11407dbdcd4cb0309b68238a67cc2d675", "deployment": "failed10000-rerun15000-20261010T020844Z", "max_steps": 15000, "budget_revision": "failed10000-rerun15000-20261010T020844Z", "same_protocol_replacement": false, "replaces_user_interrupted_attempt": null, "replacement_reason": "Explicit user-authorized fresh rerun of a completed 10000-step native failure with 15000 steps.", "previous_native_failure": "task06-06-handover-codex-seed0-attempt01", "previous_max_steps": 10000 }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/native/evidence/episode/evidence/final-observation.json", "independent_review": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/validation/simple/original-run-review.json" }, "resources": [ { "name": "tools/g1_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/resources/tools/g1_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/g1_manipulation.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/06/seed-0-attempt02/resources/memos/g1_manipulation.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 292, "observed_images": 73, "tool_errors": 0 }, "selected_for_formal_metrics": true, "visual_review": { "status": "no_confirmed_mismatch", "confidence": "medium", "native_verdict_retained": true, "review": "A completed right-to-left handover plus released container placement is not shown. Active predicate omits handover and release, but this failed run is not evidence of a false negative." } }, { "id": "task06-07-seed0-formal-attempt02", "task_key": "task06/07", "family": "task06", "slot": "07", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": false, "native_reward": 0.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 13688, "success": false, "termination": "stopped" }, "steps": 13688, "simulation_time_s": null, "wall_time_s": 3043.529979, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "pick up the apple from table1,hug the container,walk to table2,and place on table2.", "instruction": "pick up the apple from table1,hug the container,walk to table2,and place on table2.", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9903104416710947, "cache_reported_input_tokens": 28195506, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 28195506, "cached_input_tokens": 27922304, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 28195506, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 27922304, "known_input_tokens": 28195506, "known_output_tokens": 45427, "known_reasoning_output_tokens": 17604, "output_tokens": 45427, "reasoning_output_tokens": 17604, "reasoning_reported_output_tokens": 45427, "reported_responses": { "cache_reported_input_tokens": 330, "cache_write_input_tokens": 330, "cache_write_reported_input_tokens": 330, "cached_input_tokens": 330, "input_tokens": 330, "output_tokens": 330, "reasoning_output_tokens": 330, "reasoning_reported_output_tokens": 330 }, "response_count": 330, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 273202, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 330, "model_tool_calls_by_name": { "exec": 330 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 2738, "published_frames": 2738, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 2737, "duration_s": 68.45, "sha256": "47652d9a5b261f8ec778aff90ca6adaf032c3be8dba34af2bda50f161a7b83d7", "source_sha256": { "camera_head_left.mp4": "53ef57e4aca3fa51fc7ae5ff09a7b2b348c2325f51b4176c953ee8bedf95c698", "camera_head_right.mp4": "0c7b7d0cd1412cced6848f631c9266286fd320c8b6972da008d9acf8e0e50159" }, "all_frames_compared": 2738, "minimum_frame_psnr_db": 35.12200198323305, "maximum_frame_rgb_mae": 3.1588122844696045, "terminal_frame_psnr_db": 38.90267035303499, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 2739, "captured_samples": 2739, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 2738, "end_time_s": 273.760000000041, "error": null, "experimental": true, "fps": 10, "received_samples": 2739, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u672a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 13,688 / 15,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1astopped\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "cause": "\u539f\u751f\u5931\u8d25\u5df2\u7ecf\u786e\u8ba4\uff1b\u5177\u4f53\u5931\u8d25\u673a\u5236\u5c1a\u672a\u9010\u9879\u5b9a\u4f4d\uff0c\u8bf7\u7ed3\u5408\u7ec8\u6001\u8bc1\u636e\u548c\u5b8c\u6574 session \u67e5\u770b\u3002", "independent_verifier_review": "Apple finishes on the floor and away from the basket. Actual run failure is consistent; the verifier additionally has an unmentioned tomato-can condition and table-name inconsistency." }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "c9c6cd1b554380cfffee56b9a7bb47e102296d7bd38690f3ddcef2a4a5ca7bfc", "dirty": true, "revision": "2f315b78ab45a2978c2a69b7c33ec8fa4f78f618", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "0ea971928890164e2c1b0056a6cc3ebd0d1a306a63746193c33cf0b6e15a9aa2", "dirty": true, "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-07-pick-and-place-and-hug-container-codex-seed0-attempt02", "attempt": 2, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 4, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 8, "concurrency_note": "One GPU per active SIMPLE episode; dispatch only on idle GPUs.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:0093e794ce2fe8d5ab270fccfc8aef2ee8faf15d040d5a83f8c9416335b19217", "task": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957" }, "session_original_sha256": "1a98ccf2349496b219706c4996235516da26825a877a4816bfe2c78f484beeb7", "protocol_sha256": "48e670abdbf3fa6c277bcba1dd8310af3cb90f8d0166db40b5606c4e37ccfae0", "deployment": "failed10000-rerun15000-20261010T020844Z", "max_steps": 15000, "budget_revision": "failed10000-rerun15000-20261010T020844Z", "same_protocol_replacement": false, "replaces_user_interrupted_attempt": null, "replacement_reason": "Explicit user-authorized fresh rerun of a completed 10000-step native failure with 15000 steps.", "previous_native_failure": "task06-07-pick-and-place-and-hug-container-codex-seed0-attempt01", "previous_max_steps": 10000 }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/native/evidence/episode/evidence/final-observation.json", "independent_review": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/validation/simple/original-run-review.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/g1_simple.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/07/seed-0-attempt02/resources/memos/g1_simple.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 689, "observed_images": 88, "tool_errors": 12 }, "selected_for_formal_metrics": true, "visual_review": { "status": "verifier_mismatch_but_run_failed", "confidence": "high", "native_verdict_retained": true, "review": "Apple finishes on the floor and away from the basket. Actual run failure is consistent; the verifier additionally has an unmentioned tomato-can condition and table-name inconsistency." } }, { "id": "task06-08-seed0-formal", "task_key": "task06/08", "family": "task06", "slot": "08", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1277, "success": true, "termination": "success" }, "steps": 1277, "simulation_time_s": null, "wall_time_s": 369.21498, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "move forward to the door and close it", "instruction": "move forward to the door and close it", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9652520364738014, "cache_reported_input_tokens": 1340798, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1340798, "cached_input_tokens": 1294208, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1340798, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1294208, "known_input_tokens": 1340798, "known_output_tokens": 6729, "known_reasoning_output_tokens": 2707, "output_tokens": 6729, "reasoning_output_tokens": 2707, "reasoning_reported_output_tokens": 6729, "reported_responses": { "cache_reported_input_tokens": 32, "cache_write_input_tokens": 32, "cache_write_reported_input_tokens": 32, "cached_input_tokens": 32, "input_tokens": 32, "output_tokens": 32, "reasoning_output_tokens": 32, "reasoning_reported_output_tokens": 32 }, "response_count": 32, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 46590, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 31, "model_tool_calls_by_name": { "exec": 31 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 256, "published_frames": 256, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 255, "duration_s": 6.4, "sha256": "ac6a4aab2265d33bb315a1256489e20f6fde0b39fc01817042dde341c8f09e9b", "source_sha256": { "camera_head_left.mp4": "1dc8bb34d5981fb1e4f7b57176b1fd9c360eb620bf6113fb8a47f24f781975a9", "camera_head_right.mp4": "6bae4223ab231a28480df0e2f74fad95389cd1590ac1c694398d55b087c0f617" }, "all_frames_compared": 256, "minimum_frame_psnr_db": 38.43117757576277, "maximum_frame_rgb_mae": 2.2446398735046387, "terminal_frame_psnr_db": 39.446652445552544, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 257, "captured_samples": 257, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 256, "end_time_s": 25.539999999999544, "error": null, "experimental": true, "fps": 10, "received_samples": 257, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,277 / 10,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "independent_verifier_review": "Door leaf obstructs the head camera near termination; terminal joint angle is approximately -0.174 rad, below -0.16. Source and terminal state support success despite weak visual observability." }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "5b1428b96104cb17b52215bce0ec33b880c5c591d01d4ecc2867cdc647940bda", "dirty": true, "revision": "6e75c8cdf4d737087d727c6627645d0aa7e2d1dd", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "5e90464ff5b67edba2a8e653e68cba5f7065c19f92f34a29689703d61e04d305", "dirty": true, "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-08-close-door-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 6, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 5, "concurrency_note": "One GPU per active SIMPLE episode; Kinex and Codex share a five-GPU dispatch pool.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:3fb135c4db8092900969023cfe52e4bddfc8960b6296318fda47c72e80e5f667", "task": "sha256:730c5fc8ca66ce7bb07635943de71bd443d99c4f6ce962e01d35e90a3aec5c28" }, "session_original_sha256": "e8185d392136c0cfa5ec84721b2dfaef2fc8458906080321251a99880ffb648b", "protocol_sha256": "7459222297772303726f117c2d722012c84ef5c2b01e4057b1a8961d3ee23688" }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/native/evidence/episode/evidence/final-observation.json", "independent_review": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/validation/simple/original-run-review.json" }, "resources": [ { "name": "tools/arm_ik.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/resources/tools/arm_ik.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "tools/robot_step.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/resources/tools/robot_step.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/close-door.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/08/seed-0/resources/memos/close-door.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 74, "observed_images": 19, "tool_errors": 2 }, "selected_for_formal_metrics": true, "visual_review": { "status": "threshold_explained", "confidence": "high", "native_verdict_retained": true, "review": "Door leaf obstructs the head camera near termination; terminal joint angle is approximately -0.174 rad, below -0.16. Source and terminal state support success despite weak visual observability." } }, { "id": "task06-09-open-oven-codex-seed0-instruction-attempt04", "task_key": "task06/09", "family": "task06", "slot": "09", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 521, "success": true, "termination": "success" }, "steps": 521, "simulation_time_s": null, "wall_time_s": 216.963646, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "move forward to the oven and open it", "instruction": "Move to the oven and open either door fully, to roughly a right angle.", "instruction_policy": "modified", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.94929450115402, "cache_reported_input_tokens": 672432, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 672432, "cached_input_tokens": 638336, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 672432, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 638336, "known_input_tokens": 672432, "known_output_tokens": 4608, "known_reasoning_output_tokens": 854, "output_tokens": 4608, "reasoning_output_tokens": 854, "reasoning_reported_output_tokens": 4608, "reported_responses": { "cache_reported_input_tokens": 21, "cache_write_input_tokens": 21, "cache_write_reported_input_tokens": 21, "cached_input_tokens": 21, "input_tokens": 21, "output_tokens": 21, "reasoning_output_tokens": 21, "reasoning_reported_output_tokens": 21 }, "response_count": 21, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 34096, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 20, "model_tool_calls_by_name": { "exec": 20 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 105, "published_frames": 105, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 104, "duration_s": 2.625, "sha256": "f11eef665a5e76a79181f64ccb3fe80acd732f55badeb12c03f3ad731acc2dbb", "source_sha256": { "camera_head_left.mp4": "cb84f4aefbaa1a712e46ac475c631e7c38c272be9690bb6d1e5e176fa7b05061", "camera_head_right.mp4": "e05c30a466f568aeaa52c08c0760d1571fca8065e4a6befdd562fef52dc80d2e" }, "all_frames_compared": 105, "minimum_frame_psnr_db": 38.759188327260404, "maximum_frame_rgb_mae": 1.9476063251495361, "terminal_frame_psnr_db": 39.245646459091276, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 106, "captured_samples": 106, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 105, "end_time_s": 10.419999999999867, "error": null, "experimental": true, "fps": 10, "received_samples": 106, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\uff0c\u7ec8\u6001\u8bc1\u636e\u6709\u6548\uff0c\u7528\u91cf\u5b8c\u6574\u3002", "instruction": "\u672c\u56de\u5408\u4f7f\u7528\u4fee\u8ba2 instruction\uff1a\u5c06\u4efb\u610f\u4e00\u4e2a\u70e4\u7bb1\u95e8\u5145\u5206\u6253\u5f00\uff0c\u63a5\u8fd1\u76f4\u89d2\u3002", "visible_completion": "\u5b8c\u6574\u53cc\u76ee\u89c6\u9891\u663e\u793a\u4e0b\u65b9\u70e4\u7bb1\u95e8\u6253\u5f00\uff0c\u771f\u5b9e\u672b\u5e27\u4e0e\u8be5\u7ec8\u6001\u4e00\u81f4\u3002\u5c01\u5b58\u7ec8\u6001\u5173\u8282\u89d2\u4e3a 1.4119 rad\uff0880.90\u00b0\uff09\uff0c\u8d85\u8fc7\u51bb\u7ed3 verifier \u7684 1.4 rad \u95e8\u69db\u3002", "duration": "\u4f7f\u7528 521 / 15,000 \u4e2a\u63a7\u5236\u6b65\uff0cnative termination=success\u3002", "comparison": "\u6b64\u524d Codex \u56de\u5408\u7ec8\u6001\u7ea6\u4e3a 36.32\u00b0\uff0c\u4e0d\u8db3\u901a\u8fc7\u95e8\u69db\uff1b\u6b64\u6b21 fresh seed-0 \u56de\u5408\u6210\u529f\u3002\u5355\u6b21\u7ed3\u679c\u4e0d\u80fd\u8bc1\u660e instruction \u7684\u56e0\u679c\u589e\u76ca\u3002" }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "bbd03a94ca5776307435b6ed81c0f935a17f836b9ee80770069b58162d5e7e8f", "dirty": true, "revision": "f1935004c2fb23501b937cd29b826f69a06214b2", "snapshot": "/shared/evaluations/kinex-v010-task04-20261006T151944Z/additional-campaigns/simple-g1-media-instruction-fix-20261010T181909Z/sources/RLE-Bench-inhouse", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "0ea971928890164e2c1b0056a6cc3ebd0d1a306a63746193c33cf0b6e15a9aa2", "dirty": true, "reuse": "Exact 15000-step deployment owner source; no edits", "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "snapshot": "/shared/evaluations/kinex-v010-task04-20261006T151944Z/additional-campaigns/simple-g1-media-instruction-fix-20261010T181909Z/sources/RoboEnv", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "reuse": "Exact existing agent image and frozen Kinex revision", "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-09-open-oven-codex-seed0-instruction-attempt04", "attempt": 4, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 1, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 8, "concurrency_note": "At most one added SIMPLE episode per GPU, admitted with spare memory and low utilization; existing environments remain active.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:0093e794ce2fe8d5ab270fccfc8aef2ee8faf15d040d5a83f8c9416335b19217", "task": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957" }, "session_original_sha256": "808b5ff828f98fbacb7527fac405e034551887dbd28e078576d3504b96f1e2a2", "protocol_sha256": "7c71ca7c3d124a2ec23a538d7400af4e36c321a8a48d6fef5e3a9675f9a65096", "condition": "modified-instructions", "max_steps": 15000, "same_protocol_replacement": false, "previous_selection": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0", "native_verifier_changed": false }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/native/evidence/episode/evidence/final-observation.json" }, "resources": [ { "name": "tools/g1_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/resources/tools/g1_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/g1_oven.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/resources/memos/g1_oven.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 50, "observed_images": 15, "tool_errors": 2 }, "selected_for_formal_metrics": true, "visual_review": { "status": "consistent_pass", "visible_goal_completed": true, "false_positive": false, "false_negative": false, "confidence": "high", "terminal_joint_angles": { "upper_door_rad": -6.761838114045569e-18, "lower_door_rad": 1.4119226048563112 }, "native_threshold_rad": 1.4, "native_verifier_changed": false, "reviewed_samples": [ 0, 21, 24, 42, 62, 64, 83, 104 ], "state_mapping": "Frozen oven XML body preorder and native integration-state layout, unchanged from the original audited seed-0 task." }, "asset_base": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/09/seed-0-instruction-attempt04/" }, { "id": "task06-10-seed0-formal", "task_key": "task06/10", "family": "task06", "slot": "10", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1710, "success": true, "termination": "success" }, "steps": 1710, "simulation_time_s": null, "wall_time_s": 559.043041, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "turn the faucet", "instruction": "turn the faucet", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9782577578812951, "cache_reported_input_tokens": 2661777, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 2661777, "cached_input_tokens": 2603904, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 2661777, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 2603904, "known_input_tokens": 2661777, "known_output_tokens": 11612, "known_reasoning_output_tokens": 4313, "output_tokens": 11612, "reasoning_output_tokens": 4313, "reasoning_reported_output_tokens": 11612, "reported_responses": { "cache_reported_input_tokens": 62, "cache_write_input_tokens": 62, "cache_write_reported_input_tokens": 62, "cached_input_tokens": 62, "input_tokens": 62, "output_tokens": 62, "reasoning_output_tokens": 62, "reasoning_reported_output_tokens": 62 }, "response_count": 62, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 57873, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 61, "model_tool_calls_by_name": { "exec": 61 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 343, "published_frames": 343, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 342, "duration_s": 8.575, "sha256": "b40b8fe627bee84dbb2d99c780620745e61c9430dbcc914c597a091989604345", "source_sha256": { "camera_head_left.mp4": "f09cc594026ed74de30ff8c6860a0442f3dc298f316df574bc56e14daa40ed9c", "camera_head_right.mp4": "8ce123266617a33cdc22b93cb0ed7af567f5919556867ef9f777d62d7260b678" }, "all_frames_compared": 343, "minimum_frame_psnr_db": 39.01816319528031, "maximum_frame_rgb_mae": 2.0537681579589844, "terminal_frame_psnr_db": 39.01816319528031, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 343, "captured_samples": 343, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 343, "end_time_s": 34.19999999999975, "error": null, "experimental": true, "fps": 10, "received_samples": 343, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,710 / 15,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "independent_verifier_review": "Faucet handle is visibly turned; terminal joint magnitude exceeds 0.7 rad. The instruction is turn the faucet; water-flow semantics are not requested or established." }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "c9c6cd1b554380cfffee56b9a7bb47e102296d7bd38690f3ddcef2a4a5ca7bfc", "dirty": true, "revision": "2f315b78ab45a2978c2a69b7c33ec8fa4f78f618", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "0ea971928890164e2c1b0056a6cc3ebd0d1a306a63746193c33cf0b6e15a9aa2", "dirty": true, "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-10-open-faucet-codex-seed0-attempt03", "attempt": 3, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 6, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 8, "concurrency_note": "One GPU per active SIMPLE episode; dispatch only on idle GPUs.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:0093e794ce2fe8d5ab270fccfc8aef2ee8faf15d040d5a83f8c9416335b19217", "task": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957" }, "session_original_sha256": "b986ecabd7f40cc38364b5a3bbf7316dcc9e4f2aa2aa963bcedebacc501fbf8c", "protocol_sha256": "3a6b2b718e41c395dbf3c891d8ed4164aa605473a8340f445d6ce59b9da0899a", "deployment": "steps15000-20261010T012736Z", "max_steps": 15000, "budget_revision": "steps15000-20261010T012736Z", "same_protocol_replacement": false, "replaces_user_interrupted_attempt": "task06-10-open-faucet-codex-seed0-attempt01", "replacement_reason": "User requested 300 seconds at 50 Hz with updated code." }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/native/evidence/episode/evidence/final-observation.json", "independent_review": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/validation/simple/original-run-review.json" }, "resources": [ { "name": "tools/g1_control.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/resources/tools/g1_control.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/g1_faucet.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/10/seed-0/resources/memos/g1_faucet.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 138, "observed_images": 30, "tool_errors": 2 }, "selected_for_formal_metrics": true, "visual_review": { "status": "no_confirmed_mismatch", "confidence": "high", "native_verdict_retained": true, "review": "Faucet handle is visibly turned; terminal joint magnitude exceeds 0.7 rad. The instruction is turn the faucet; water-flow semantics are not requested or established." } }, { "id": "task06-11-seed0-formal", "task_key": "task06/11", "family": "task06", "slot": "11", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 581, "success": true, "termination": "success" }, "steps": 581, "simulation_time_s": null, "wall_time_s": 203.012415, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "move forward to the office chair and push it to the table", "instruction": "move forward to the office chair and push it to the table", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9631537448295527, "cache_reported_input_tokens": 866221, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 866221, "cached_input_tokens": 834304, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 866221, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 834304, "known_input_tokens": 866221, "known_output_tokens": 2765, "known_reasoning_output_tokens": 543, "output_tokens": 2765, "reasoning_output_tokens": 543, "reasoning_reported_output_tokens": 2765, "reported_responses": { "cache_reported_input_tokens": 28, "cache_write_input_tokens": 28, "cache_write_reported_input_tokens": 28, "cached_input_tokens": 28, "input_tokens": 28, "output_tokens": 28, "reasoning_output_tokens": 28, "reasoning_reported_output_tokens": 28 }, "response_count": 28, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 31917, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 27, "model_tool_calls_by_name": { "exec": 27 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 117, "published_frames": 117, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 116, "duration_s": 2.925, "sha256": "2414eda4412a3606a4bbf1b361e1e72bddc3f720abf53bc198aab77d97b86d29", "source_sha256": { "camera_head_left.mp4": "2fd8b7ebb7ce0adc6d2728e3996bbef1d750f3eb8a5c379505f5f92af9f96ebb", "camera_head_right.mp4": "222ed024b8b4b9e7bb31fd244a08bf4b178b0ac58be938341778acde2af470b2" }, "all_frames_compared": 117, "minimum_frame_psnr_db": 40.31057278614141, "maximum_frame_rgb_mae": 1.670044183731079, "terminal_frame_psnr_db": 40.31057278614141, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 118, "captured_samples": 118, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 117, "end_time_s": 11.619999999999841, "error": null, "experimental": true, "fps": 10, "received_samples": 118, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 581 / 15,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "independent_verifier_review": "Chair visibly moves toward the table, but arrival is not established. Native success only requires absolute x displacement >0.8 m, in either direction; it does not test distance/contact/alignment with the table. Suspected early acceptance, not a confirmed failed instruction." }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "c9c6cd1b554380cfffee56b9a7bb47e102296d7bd38690f3ddcef2a4a5ca7bfc", "dirty": true, "revision": "2f315b78ab45a2978c2a69b7c33ec8fa4f78f618", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "0ea971928890164e2c1b0056a6cc3ebd0d1a306a63746193c33cf0b6e15a9aa2", "dirty": true, "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-11-push-office-chair-codex-seed0-attempt03", "attempt": 3, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 5, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 8, "concurrency_note": "One GPU per active SIMPLE episode; dispatch only on idle GPUs.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:0093e794ce2fe8d5ab270fccfc8aef2ee8faf15d040d5a83f8c9416335b19217", "task": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957" }, "session_original_sha256": "09cc733f34a3ae0a5c4eb775b8941c311d957aa2e129f1fa90ea740f358e215c", "protocol_sha256": "4f9919c1435a661a1c9370edd14a316537d64278af62af44831c511940433813", "deployment": "steps15000-20261010T012736Z", "max_steps": 15000, "budget_revision": "steps15000-20261010T012736Z", "same_protocol_replacement": false, "replaces_user_interrupted_attempt": "task06-11-push-office-chair-codex-seed0-attempt01", "replacement_reason": "User requested 300 seconds at 50 Hz with updated code." }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/native/evidence/episode/evidence/final-observation.json", "independent_review": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/validation/simple/original-run-review.json" }, "resources": [ { "name": "tools/robot_step.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/resources/tools/robot_step.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/roboenv.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/11/seed-0/resources/memos/roboenv.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 64, "observed_images": 7, "tool_errors": 2 }, "selected_for_formal_metrics": true, "visual_review": { "status": "weak_success_criteria", "confidence": "high_for_code_only", "native_verdict_retained": true, "review": "Chair visibly moves toward the table, but arrival is not established. Native success only requires absolute x displacement >0.8 m, in either direction; it does not test distance/contact/alignment with the table. Suspected early acceptance, not a confirmed failed instruction." } }, { "id": "task06-12-seed0-formal", "task_key": "task06/12", "family": "task06", "slot": "12", "seed": 0, "episode": 1, "phase": "formal", "status": "completed", "success": true, "native_reward": 1.0, "valid": true, "execution": { "reason": null, "status": "finished" }, "verdict": { "evidence_valid": true, "steps": 1237, "success": true, "termination": "success" }, "steps": 1237, "simulation_time_s": null, "wall_time_s": 412.282796, "model": "gpt-6-astra", "effort": "high", "harness": "codex", "codex_version": "0.160.0", "native_instruction": "move forward to the trash can and open it", "instruction": "move forward to the trash can and open it", "instruction_policy": "original_native", "usage": { "accounting": "reported-responses", "audit_complete": true, "cache_hit_rate": 0.9608732762844007, "cache_reported_input_tokens": 1187986, "cache_write_input_tokens": 0, "cache_write_reported_input_tokens": 1187986, "cached_input_tokens": 1141504, "completed_turns": 1, "cost_usd": null, "failed_turns": 0, "input_tokens": 1187986, "known_cache_write_input_tokens": 0, "known_cached_input_tokens": 1141504, "known_input_tokens": 1187986, "known_output_tokens": 7120, "known_reasoning_output_tokens": 2278, "output_tokens": 7120, "reasoning_output_tokens": 2278, "reasoning_reported_output_tokens": 7120, "reported_responses": { "cache_reported_input_tokens": 30, "cache_write_input_tokens": 30, "cache_write_reported_input_tokens": 30, "cached_input_tokens": 30, "input_tokens": 30, "output_tokens": 30, "reasoning_output_tokens": 30, "reasoning_reported_output_tokens": 30 }, "response_count": 30, "response_ids_complete": true, "schema": "rlebench/token-usage/1", "source": "Codex token_usage_record per response", "uncached_input_tokens": 46482, "unidentified_usage_records": 0 }, "call_activity": { "model_tool_calls": 29, "model_tool_calls_by_name": { "exec": 29 }, "nested_python_tool_invocations": null, "python_device_rpc_attempts": null, "python_device_rpc_attempts_by_action": null, "python_device_rpc_errors": null, "python_instrumented_model_tool_calls": null, "python_tool_invocations": null, "python_tool_invocations_by_origin": null, "schema": "rlebench/call-activity/1", "source": "Codex native sessions" }, "media": { "schema": "rlebench/native-stereo-media/2", "passed": true, "speed": 4, "source_fps": 10, "output_fps": 40, "width": 1280, "height": 360, "native_frames": 248, "published_frames": 248, "source_sample_coverage": 1.0, "terminal_frame_retained": true, "terminal_source_index": 247, "duration_s": 6.2, "sha256": "522161b90958a56a4cb53d7f1e71b389d877209334ac77b535462b2dd0aebd0c", "source_sha256": { "camera_head_left.mp4": "8765a72c73f9ffdd2a6bedf1e60a682050d4ea211695042947d977cacad2c2b4", "camera_head_right.mp4": "c3e7c230a1a413af82ba5f4c8b6b421cc8b8ea0a0fb965594bdeac50e37baadd" }, "all_frames_compared": 248, "minimum_frame_psnr_db": 39.171766083055346, "maximum_frame_rgb_mae": 1.8302083015441895, "terminal_frame_psnr_db": 39.78003632002639, "decode_ok": true, "pts_verified": true, "frame_mapping": "One decoded stereo pair for each native index; raw RGB input at source_fps * speed", "scope": "Original native stereo recording, all samples at 4x speed; no simulation replay or rerender", "recording": { "accepted_samples": 249, "captured_samples": 249, "clock": "simulation", "dropped_samples": 0, "encoded_frames": 248, "end_time_s": 24.73999999999956, "error": null, "experimental": true, "fps": 10, "received_samples": 249, "schema": "roboenv/recording/1", "state": "closed", "status": "complete", "views": [ { "fov_y": 45.0, "height": 360, "name": "camera_head_left", "pose": null, "source": "camera_head_left", "width": 640 }, { "fov_y": 45.0, "height": 360, "name": "camera_head_right", "pose": null, "source": "camera_head_right", "width": 640 } ] } }, "analysis": { "outcome": "\u539f\u751f\u5224\u5b9a\u6210\u529f\u3002", "duration": "\u4f7f\u7528 1,237 / 15,000 \u4e2a\u52a8\u4f5c\u5e27\uff1b\u7ed3\u675f\u539f\u56e0\uff1asuccess\u3002", "execution": "\u6267\u884c\u6b63\u5e38\u5b8c\u6210\uff0c\u7528\u91cf\u8bb0\u5f55\u5b8c\u6574\u3002", "independent_verifier_review": "Trash lid is visibly opened; terminal lid joint exceeds 0.5 rad. Native success agrees with the observed opening." }, "provenance": { "sources": { "RLE-Bench-inhouse": { "build_inputs": [ "pyproject.toml", "src", "tasks", "README.md", "Makefile", "tests", "docs" ], "content_sha256": "c9c6cd1b554380cfffee56b9a7bb47e102296d7bd38690f3ddcef2a4a5ca7bfc", "dirty": true, "revision": "2f315b78ab45a2978c2a69b7c33ec8fa4f78f618", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RLE-Bench-inhouse" }, "RoboEnv": { "build_inputs": [ "pyproject.toml", "README.md", "src", "runtime/pyproject.toml", "runtime/README.md", "runtime/src", "runtime/environments.json", "runtime/locks", "catalog", "upstreams.lock.json", "third_party/patches", "docs/validation" ], "content_sha256": "0ea971928890164e2c1b0056a6cc3ebd0d1a306a63746193c33cf0b6e15a9aa2", "dirty": true, "revision": "b73356c09507eeffaf9ca9e90b668ef0b7f1fa92", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/RoboEnv" }, "kinex": { "build_inputs": [ "package.json", "package-lock.json", ".nvmrc", "tsconfig.json", "VERSION", "src", "packages/core", "packages/setup", "script", "assets", "bin" ], "content_sha256": "70f5107905efa45cace74e04b630660aaee4c80e1db2e3d540d6c81e0f4d0d38", "dirty": false, "revision": "caac19a8a36272972f762e0f74cfe381e8500048", "source": "/home/evaluator/PhyRSI/benchmark-v0.10.0/kinex" } }, "job": "task06-12-open-trash-can-codex-seed0-attempt01", "attempt": 1, "harness": "stock Codex CLI", "control_interface": "public RoboEnv SDK and CLI", "kinex_agent_runtime_used": false, "gpu_index": 5, "gpu_model": "NVIDIA L40S", "campaign_dispatch_concurrency_limit": 8, "concurrency_note": "One GPU per active SIMPLE episode; dispatch only on idle GPUs.", "codex_version": "0.160.0", "model": "gpt-6-astra", "effort": "high", "service_tier": "default", "fresh_session": true, "source_jobs": [], "resume_trajectory": false, "imported_skills": [], "automatic_harbor_retries": 0, "request_policy": { "max_request_retries": 50, "configuration": "explicit retry50 SSE", "usage_accounting": "reported-responses" }, "classification": "formal", "measured_images": { "agent": "sha256:0093e794ce2fe8d5ab270fccfc8aef2ee8faf15d040d5a83f8c9416335b19217", "task": "sha256:66c86a017966a02653a3a2278a74002e1d16a717e6b21aa5e884cb94d54a8957" }, "session_original_sha256": "0079cd78ad8e7f9637a4f36d29f64b8a2a62ef0bf8318df5bd2c8befeefa2396", "protocol_sha256": "164239fdb19918ba38b3fe821ffca13a97f98422f47982080b26cc57bc2c7d90", "deployment": "steps15000-20261010T012736Z", "max_steps": 15000, "budget_revision": "steps15000-20261010T012736Z", "same_protocol_replacement": false, "replaces_user_interrupted_attempt": null, "replacement_reason": "User requested 300 seconds at 50 Hz with updated code." }, "links": { "native_session": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/native/agent/session.jsonl", "trace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/native/agent/trajectory.json", "provider_usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/native/agent/provider-usage.jsonl", "transcript": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/transcript.json", "verdict": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/native/verifier/episode.json", "protocol": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/native/verifier/protocol.json", "native_goal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/instructions.json", "workspace": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/native/verifier/workspace.tar.gz", "workspace_changes": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/native/verifier/workspace.json", "owner_journal": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/native/evidence/episode/evidence/journal/actions.jsonl", "recording_manifest": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/native/evidence/episode/evidence/recording/manifest.json", "usage": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/usage.json", "analysis": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/analysis.json", "provenance": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/provenance.json", "video": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/video.mp4", "poster": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/poster.jpg", "media_check": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/media-validation.json", "final_observation": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/native/evidence/episode/evidence/final-observation.json", "independent_review": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/validation/simple/original-run-review.json" }, "resources": [ { "name": "tools/robot.py", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/resources/tools/robot.py", "kind": "Created during this episode; final workspace snapshot." }, { "name": "memos/g1-trash-can.md", "file": "https://huggingface.co/datasets/RLE-Bench/codex-benchmark/resolve/048598de801dd9d2bd75fdb8fe4faab62b7e1bda/episodes/task06/12/seed-0/resources/memos/g1-trash-can.md", "kind": "Created during this episode; final workspace snapshot." } ], "session_counts": { "visible_events": 69, "observed_images": 26, "tool_errors": 3 }, "selected_for_formal_metrics": true, "visual_review": { "status": "no_confirmed_mismatch", "confidence": "high", "native_verdict_retained": true, "review": "Trash lid is visibly opened; terminal lid joint exceeds 0.5 rad. Native success agrees with the observed opening." } } ]