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    "regressed": 15,
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  "interpretation": "100 fresh held-out resets per task under fixed disclosed physics. First and revised Franka checkpoints share final cases. No tuning after final evaluation. Scores are not repeated-author or unseen-dynamics results.",
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      "limitations": [
        "Remote model-service inference transport; not a machine-wide air gap.",
        "Pretraining knowledge is not removed or audited.",
        "Host/evaluator is trusted; logs are not adversarially tamper-proof."
      ],
      "prior_policy_artifacts_supplied": false,
      "behavioral_feedback_before_submission": false,
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      "request_events": {
        "effective_config": 1,
        "author_started": 1,
        "turn_requested": 1,
        "item_completed": 51,
        "tool_inventory_attestation": 1,
        "python_request": 16,
        "python_result": 16,
        "turn_completed": 1
      },
      "author_script_sha256": "4885746c0c524338c5a5aed3e3ef4a7a28920a2a75c366d047f6c2926c0d6448",
      "prompt_sha256": "4a0abed2a2fb1d472654365952c59d9fdb629c31280820aa8e79ff45f8a9543f",
      "sanitized_transcript_sha256": "f2894b7e1f1544dfa6993ce7e507b2ef582cdb708e6421d055e5e349d300b229",
      "original_artifacts": {
        "franka_push.npz": "d13b171e6981676e7246cef81bf5144f3db3208fd384880c55323245c1146733",
        "previous_construction.py": "26996089dbf08c4d679240f815335280751612a7692ba7eaf766cba9a723aa06",
        "previous_franka_push.npz": "f758bb12824b652fd1e0593b4a81d0fcc99bea72e338aaf6355dc971685b8d34",
        "previous_rationale.txt": "07e4af12d4de6442bb1257b208bc989e1227e709bf728956fac87a85581db0dd",
        "rationale.txt": "8b42a6cb83dc82c1d38223a34be3c0c73f1e3b4afffcff96f31e1dda3837b100",
        "revision.py": "affdd0355388d6b45fc3c22666ba3a543f6bbf3dd8f6972b4766048b067df802"
      },
      "limitations": [
        "Remote model-service inference transport; not a machine-wide air gap.",
        "Pretraining knowledge is not removed or audited.",
        "Host/evaluator is trusted; logs are not adversarially tamper-proof."
      ],
      "prior_policy_artifacts_supplied": "Only this experiment's own Astra first submission",
      "behavioral_feedback_before_submission": {
        "franka_push_development_episodes": 10,
        "final_cases": 0
      },
      "construction_source_review": "Reviewed all 16 Python requests and full revision source. Reads the ten supplied recordings, evaluates static kinematics at recorded poses, derives a lateral lag from static stiffness/damping, changes one lateral reference, recompiles numeric layers and checks synthetic inputs. No new trajectories, integration, training, reward search, teacher fitting, external files or networking. Two Python errors were an empty mesh slice and a missing local variable; both corrected without behavioral evaluation."
    }
  },
  "trusted_source_sha256": {
    "pendulum_franka": "2fe53d39f77a1ff076e03555d418f65131430eda7e1279fa593d58eee42c9031",
    "cartpole": "6f4ae4aa9361692be4be9ee1d22cc7e951fdb5d3d1906979f385b27287ea27e5"
  }
}