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only the 178 frozen START weights with CMA-ES, seed 20261161, population 16, group RMS scales, and sigma capped by elapsed search time.","Search markets use fresh contiguous 512-market blocks; all proposals in each generation use the same block.","The 2,048-market monitor selected the best ES mean every 10 generations. The 8,192-market holdout was evaluated once after freezing.","Real-engine confirmation ran each strategy separately against VanillaStrategy. Retail and arbitrage real-engine deltas are Y-volume deltas; the engine result does not expose their edge split.","The generic START port is unchanged; its weight vector is flattened from the submitted params."]}