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","code_sha256":"dd53db1fbe42628e040c6c7b7a82689867ab601263c5e740506299a3a186b38c","port_zb64":"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","port_sha256":"732c0fb615480020795039a111e4a49a46f851e6f29720b092665b247d79006b","holdout":{"retail_edge_start_vs_IB":{"n":8192,"mean_diff":-0.5183724507510308,"se":0.01010538505858936},"arb_edge_start_vs_IB":{"n":8192,"mean_diff":1.0654444703059904,"se":0.005673180849003477},"seeds":[41010000,41018191],"frozen_vs_start":{"n":8192,"mean_diff":0.0,"se":0.0},"frozen_vs_IB":{"n":8192,"mean_diff":0.5470720195549598,"se":0.010443134156081715},"start_vs_IB":{"n":8192,"mean_diff":0.5470720195549598,"se":0.010443134156081715}},"real":{"seeds":[8076800,8077823],"protocol":"each strategy alone vs 30 bps VanillaStrategy; run_batch(submission, Vanilla, configs, 8); seed-specific config draw order/ranges per MatchRunner._build_configs; 8-market batches; no seed 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weights or constants were trained or changed; relay returns J5 unchanged after speed cutoff. Frozen/START zero differences are identity deductions, not duplicate simulation runs.","Gate A: 50 sequences x 2000 swaps, seeds 310000..310049. Gate B: seeds 7672000..7672511, J5 minus IA; required target +0.876 +/-0.15.","Final speed was remeasured with both real arms stopped and no concurrent validation/search jobs: warmed search evaluate function, 32-process fork pool, 3 x 512 full 10000-step markets. Idle result 92.803 markets/s confirmed earlier 94.264 markets/s cutoff. Gate B seeds reused only for timing, not search.","Port packing: W = concat([1], feature_multipliers[19], feature_offsets[19], row-major W1[8,19], b1[8], row-major W2[2,8], b2[2], ANCHOR_COUNT_CAP, ANCHOR_LINEAR_K, ANCHOR_QUADRATIC_K, TH). TH = port.TH_VALUES.copy(), replacing each named constants entry with its second value. Port.NW = 217. Call strat_init/strat_after using W. Exact port bytes are the measured relay_port.py.","Replica source: goal IB hashes.artifact_urls.rep replica_source, with STRATEGY block replaced by import of returned port. IB holdout used IB own port exactly and its TH_VALUES with HEAD0 onward filled by its row-major W1,b1,W2,b2.","Real retail/arb deltas are quote-asset volume differences; simulator LightweightSimResult exposes no split retail/arb edge totals. No split edge totals invented.","Real confirmation uses 1024 seeds per the S<100 branch, rather than the default 512. All config seeds are fresh real evaluation seeds in the assigned range. No OOG call allowed."]}