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","port_sha256":"b29cd2a078b4c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strategy alone against the 30 bps VanillaStrategy, amm_sim_rs.run_batch(X, VanillaStrategy, configs, 8); exact MatchRunner._build_configs draw order and canonical defaults; disjoint 64-market chunks; each seed evaluated once per 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downloaded artifact JSON SHA-256 IDs and all used decoded source hashes matched their declarations.","Search initialized exclusively from START params; no saved ES state from a prior item was used. The per-weight scaling is the RMS of its W1, b1, W2 or b2 group.","Curve sigma is the adapted pycma sigma after tell; the required time-based cap is applied immediately before every ask, so actual proposal sigma never exceeds the cap at sampling time.","Eight worker processes; steady-state speed measured after warmup on the same type of persistent search pool; pool creation and compilation excluded.","Generation g (zero based) uses seeds 1032000000+512*g through 1032000000+512*(g+1)-1 for all 16 proposals. Monitor seeds 30000000..30002047 are intentionally fixed; only ES means every 10 generations may replace START.","Only the 178 head constants changed in Solidity; all other source bytes and feature multipliers/offsets are unchanged. The returned port is the exact supplied START port, loaded with returned params.","Gate A and C each compare 50 sequences of 2000 identical EVM/port swap inputs, plus initialization.","The Gate B computation was repeated once solely because the initial completed run failed JSON serialization of a NumPy bool; no selection was performed on either gate result.","The 8192-market replica holdout was run once after freezing, on seeds 41010000..41018191; IB uses its own port and TH layout.","Real retail/arb edge decomposition is reconstructed from the engine step traces: previous end-of-step spot/fees and current fair price, constant product k=1000000, exact repository arbitrage formulas. Retail edge is total edge minus reconstructed arb edge; reconstruction volume residuals are reported.","Statistics use sample standard deviation divided by sqrt(n); worst5 lists [seed, edge difference]. Quartiles use IB retail Y volume, q1 quietest.","Local measurements are reported as measured; no independent verifier authority is claimed."]}