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stopped at 60.8 search minutes, ~39 minutes before the 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strategy alone vs 30bps VanillaStrategy, amm_sim_rs.run_batch(bytecode, Vanilla, configs, 8), configs per MatchRunner._build_configs ranges (kit sim.market_config + build_config), 64-seed 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","port_sha256":"0e8d21f22082d3d5d19d91ef642ef7afc4568cc7bf0da96fb97a0d77a0fa52c1","params":{"structure":"two 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popsize 16, full covariance, seed 20260313, sigma0 0.06, 192 train markets/gen"},"seeds":{"gate_A_C":[310000,310049],"speed":[6010000,6010511],"gate_B":[7116384,7116895],"monitor":[30000000,30002047],"train":[512000000,512043007],"gas_probe":[7316000,7316015],"holdout":[40000000,40008191],"real":[7249152,7249663]},"notes":["Train from both-nets=IA start (monitor +1.540 vs T) rather than GATED-based start (+0.794); GATED 13-input nets with IA new columns appended lose ~0.75 vs IA.","Replica holdout (once, after freeze): candidate +0.122 se 0.004 over IA; real engine on 512 fresh seeds: +0.066 se 0.057 over IA (not significant; real gain about half the replica prediction, within ~1 se).","Real decomposition: candidate retail -0.214, arb +0.280 vs IA.","CMA sigma fell from 0.06 to ~0.01 within 60 generations under noisy 192-market fitness; monitor gain rose from 1.540 to 1.645 by generation 140 then plateaued.","IA holdout IA_vs_T reproduces IA artifact replica figure (1.4817112289868306) exactly, and gate B equals IA artifact on_real_seeds figure (1.4654026984931672).","Real chunk cand_7249344 was killed by the 8-minute command limit before any result was written; it was rerun once on the same seeds (no data from the killed run was read). IA and candidate arms of later chunks ran concurrently in separate processes; gas stats are per process.","Gate A, B, C passed. Search kept within 8-minute command segments with pickle checkpoints. Not near the ~+3.1 over HA needed for top 10: holdout +0.487 over HA."]}