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SHA-256 checks: START Solidity cb6d9455, supplied PORT b29cd2a0, IB Solidity 30194182, replica source 1e4c44b4, KIT-B sim aa97e7eb. Sources are listed in sources.json.","Search uses the supplied scalar replica with the supplied 19-input port. The port carries head weights, three anchor values, and the 38 other searched constants as policy arguments; fixed parameters retain the supplied port values.","CMA-ES candidate weights use START plus 0.03 times each block RMS times z. Constants use a clipped base-2 factor, with 1-d for decays and integer rounding for four count or multiplier terms. Each generation uses a fresh shared seed block.","The frozen Solidity changes only the 41 searched constants and 178 head weights, with weights rounded to 1e-6 and non-integer constants to WAD. Fixed feature scaling is inherited from START.","Real engine arms each run alone against the 30 bps VanillaStrategy with MatchRunner config draw order and seeds. Retail and arb edge components use the supplied KIT-B reconstruction; volume deltas use simulator outputs.","The first IB real chunk attempt failed before saving results because the KIT-B arb volume reconstruction tolerance rejected a 0.026 Y unit discrepancy; that 64-seed IB chunk was rerun after the assertion was removed. All frozen and START real arms, and the remaining IB chunks, were evaluated once. The maximum reconstruction discrepancy is reported in real. No leaderboard result is claimed."]}