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downloaded artifact JSON and supplied decoded source hashes verified. KIT unit tests: 9 passed. Setup validated StarterStrategy successfully.","Measurements are from this run; referenced artifact metrics are not substituted for local evaluations.","CG IA port is unchanged; replica import adapted to pass the 217-entry W vector. Only the 178 head weights trained; scaling and base policy frozen.","Fixed monitor selection only; holdout evaluated once after freeze. CG remains fallback if no monitor point beats it.","Retail/arb decomposition uses KIT reconstruction from real-engine step traces, with arb-volume cross-check.","Replica RNG paths differ from real engine; paired comparisons use shared seeds within their respective engine, not identical paths across engines.","Only requested JSON outputs delivered. Candidate Solidity is included compressed, with all frozen parameters; no external runtime package is claimed as part of the deliverable.","The real gain over CG is +0.01619 with SE 0.01481; this run does not establish a clear improvement over CG. Selection used the fixed monitor only, not holdout or real results."]}