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      }
    ],
    "measured_cost": {
      "generation_calls": {
        "evaluation": 4,
        "target_calibration": 16,
        "construction_verification": 12,
        "effectivity_student": 1,
        "effectivity_teacher": 1,
        "construction_teacher": 2
      },
      "generated_tokens": {
        "evaluation": 1541,
        "target_calibration": 29408,
        "construction_verification": 2757,
        "effectivity_student": 1231,
        "effectivity_teacher": 1038,
        "construction_teacher": 450
      },
      "scored_response_tokens": {},
      "frozen_encoder_forward_calls": 0,
      "frozen_encoder_input_tokens_including_prompt": 0,
      "scope": "entire invocation, including training controls, profiling and evaluation",
      "includes_rejected_and_profiling_generations": true
    },
    "compiled_property_order": [
      "question",
      "trace",
      "answer"
    ],
    "schema_sha256": {
      "blueprint_and_novelty": "c4f8a00e63a0417315216e6e6afd0333324604f38dfa5a823dc267a131efc3bf",
      "compose": "8768cc6bbb0654c28b9b457654cddb07fde9ae9e7a7a11f8198cf41856835e55",
      "harder_leaf": "8768cc6bbb0654c28b9b457654cddb07fde9ae9e7a7a11f8198cf41856835e55",
      "propose_children": "b60afb6eb71743e2e47aec78354124df48a40d97b48591592c0214c0c30b29d4",
      "scaffold_safe": "deb8fa68986813699f24e819d86090e5a964f48dffb3937a6388ef08de11e9c6"
    },
    "dependency_versions": {
      "xgrammar": "0.2.8",
      "apache-tvm-ffi": "0.1.11",
      "pydantic": "2.12.5",
      "pydantic-core": "2.41.5",
      "annotated-types": "0.7.0",
      "typing-inspection": "0.4.2",
      "typing-extensions": "4.15.0"
    },
    "dependency_fingerprint": "34358043d550ed4e7958b2d6df5ecaf018f518e02bd912c9c68105848692635d",
    "method_rl_updates": 0,
    "control_rl_updates": 0,
    "gold_access_roles": {
      "target_calibration": "question-only-no-answer-or-trace",
      "construction_verification": "question-only-no-answer-or-trace",
      "effectivity_student": "question-only-no-answer-or-trace",
      "effectivity_teacher": "question-only-no-answer-or-trace",
      "construction_teacher": "training-construction-context"
    },
    "hard_root_count_scope": "zero-success nontruncated target-policy calibration, not proof that all three independent teacher verifications passed",
    "effectivity_conditioned_test_reached": false,
    "synthesis_reached": false,
    "target_policy_goldilocks_reached": false,
    "baseline_validation_generation_calls": 4
  },
  "failure_interpretation": "Both ordered constrained responses were valid two-child JSON; the first proposal had zero verified children and the second had one. Roots7/8 also failed verification. The corrected question, trace, answer order did not complete construction in this one seed; no capability or general causal conclusion follows. No extra retry or response repair occurred.",
  "evaluation_protocol": {
    "tier": "l1_mechanism",
    "seeds": [
      42
    ],
    "formal_comparison": false,
    "promotion_eligible": false,
    "test_used_for_selection": false,
    "claim_policy": "failed bounded construction diagnostic; no surviving descendant, no RL update, no capability claim",
    "train_only_scope": "calibration/construction only; the original invocation also executed four validation baseline generations"
  },
  "provenance": {
    "code_commit": "ce4a4a34520419a50fb730d93967aaed5024fa77",
    "artifact_path": "docs/reproductions/2610.12659-magicbeanstalk/metrics/public-a100-schema-order-failed-seed42-ce4a4a34.json",
    "execution_config_sha256": "6717f5dd647b812e5fc6dcdcd91b3f089e2a55003bc6ee68ac76d88319a7b1df",
    "dataset_fingerprint": "69efc634f51a589335fcdea85238bf3218653a94de2ba2604a64056960547dab",
    "raw_results_sha256": {
      "launch": "66bdda2cf75638de21d4d4067b76fe2e48b9029d86e99e6b2048a31bc8e2a874",
      "exit": "dc5b4735e8d595a3434ca44a4a4051ebfe118e558bd6eaa41430eb6201049512",
      "runtime": "c5a25cb305d7732c8a04e0e0f6a9c31e64d1d14c8552ca4ddb1509bfebccb301",
      "failure": "19c56c036b6dd87f7658c14a7c45c53065a662c920cc807532ce6bbbdba6151d",
      "source_contract": "b0c209ac4a09317441b5a38c5f15c5869d28dc532a15ad1c05c75bca5d2a2aa0",
      "resource_audit": "7fdd91ab379a774193a6614082c3bacd34f025ecd372d1d0e32243d06cbe0d13",
      "config": "b5c7201a28db4b58a5603c994beadd94848362beaa2b079f37f0d60559575999",
      "dependency_audit": "a0c5a4cf13642258131c4e0d1c62a686dcf35f0da37d28b3d2c4f1fd072732b1",
      "grammar_audit": "80ddb3bb012c15e6bb4de32a781342fb50de80f8a3a3fc7afe85837fa5d2cbea"
    },
    "actual_command_sanitized": [
      "python",
      "-u",
      "scripts/run_oct13_post_training.py",
      "--method",
      "magicbeanstalk",
      "--config",
      "<config>/oct14_execution-mbs-schema-v1.json",
      "--seed",
      "42",
      "--output",
      "<run>/evidence"
    ],
    "command_path_relocations_only": true,
    "checkpoint_committed": false,
    "raw_responses_and_token_ids_committed": false
  },
  "limitations": [
    "One seed failed real CUDA construction, not a passed GPU validation receipt or formal comparison.",
    "Training construction teacher sees parent/candidate training answers and traces; independent verification sees only the question.",
    "The strict JSON parser and numeric verifier were not repaired or relaxed; all negative outcomes remain visible.",
    "This single negative attempt cannot identify the general cause of missing facts, trace/answer inconsistencies, or independent solver errors.",
    "Baseline validation generation cost is included, but no post-training assessment or training/control update occurred."
  ]
}