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"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",
  "code_sha256": "89b524de9a46ea7cf2e3a3efc7b011a482c38a480b38726966c04c095487e39a",
  "holdout": {
    "n": 0,
    "mean_diff": null,
    "se": null,
    "retail_delta": null,
    "arb_delta": null
  },
  "real": {
    "seeds": [],
    "paired_vs_IB": {
      "n": 0,
      "mean_diff": null,
      "se": null,
      "worst5": []
    },
    "retail_delta": null,
    "arb_delta": null,
    "mean_edge": {
      "IB": null,
      "Candidate": null
    }
  },
  "gas": {
    "afterSwap_peak": null,
    "oog": null,
    "gas_stats": null
  },
  "valid": false,
  "notes": [
    "Required early stop: speed gate failed. No training, frozen-trained gate, holdout, real-engine seeds, or gas evaluation was run. Valid=false means the deliverable is not a fully evaluated eligible candidate; it is not evidence of OOG.",
    "The complete weights and code are the frozen pre-search POLICY, not a trained candidate. C_start compared this frozen policy to both its float port and IA Solidity; all 100050 reference callbacks matched exactly.",
    "Search did not beat IA on the kit monitor: no search or monitor selection was performed.",
    "Pinned checkout 6b6921f8d463314aa7c96234e1be25a25245f704; exact supplied SETUP ran once and exited 0. StarterStrategy validated. All eight api.files decoded and passed their supplied SHA-256 checks. Kit tests: 15 passed in 48.363 seconds. restore-ia matched 956566e95f46dc1ed5980fae5e550de7b9da10f9b3ad8eed62f265682cfcecf2.",
    "IB code decoded and verified against 301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686. IB was not evaluated because the speed gate stopped the pipeline.",
    "Starting frozen Candidate.sol compiled and passed amm-match validate. No kit source edits or validation-guard changes were made.",
    "The B real-reference gain of 1.513 is supplied by the assignment, not a newly run real-engine measurement. All other numeric gate and speed results are local measurements.",
    "Only the two requested JSON files are delivered; temporary checkout, dependencies, and measurement files live under excluded test/scratch."
  ]
}