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They are not leaderboard results.","notes":["Pinned checkout 6b6921f8d463314aa7c96234e1be25a25245f704; requested Linux setup succeeded; wheel aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a verified.","Gate A/C replay the first 2000 actual market callbacks from each of 50 replica markets. Initialization is also compared. No synthetic stress sequences were used.","Port is byte-for-byte START port. W layout: enabled, 19 feature multipliers, 19 offsets, 178 weights ordered W1/b1/W2/b2, 3 anchors, original TH_VALUES with named constants replaced. NW=217. Anchor order: ANCHOR_COUNT_CAP, ANCHOR_LINEAR_K, ANCHOR_QUADRATIC_K. params.scaling and params.constants fully reconstruct W.","Replica uses KIT-B simulator logic with only its strategy import replaced. IB uses its own supplied port and frozen params. RNG distributions match the pinned engine; paths differ from Rust.","Each generation uses one new seed block shared by its 24 proposals. Checkpoints preserve optimizer and NumPy RNG state between commands shorter than 8 minutes. ES is initialized at z=0 at START.","Only monitored ES means compete with START. Weights are rounded to 1e-6 at freeze, constants to WAD integers. A normalized-text check confirms Solidity changes only numeric literals.","Real arms each run alone versus 30 bps Vanilla via run_batch(X, VanillaStrategy, configs, 8), with configs following MatchRunner._build_configs. Real commands have 64 seeds and never repeat an arm/seed.","Replica reports retail and arb edge deltas. Real edge splits are reconstructed from full step history and checked against independent arb volume where available; otherwise null. Real volume deltas are direct engine fields.","Holdout is evaluated once and is not used for policy selection.","Speed was remeasured after generation 44: initial 455.96 markets/s (M=512), then 137.63 markets/s (M=256). The slower branch reserves 45 minutes for confirmation. BLAS threading is limited to one from generation 41.","No monitored point beat START; frozen policy is unchanged START."],"nothing_beat_START":true,"measurement_sources_zb64":"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","measurement_sources_sha256":"54c28d00913f7cc8b68d8d3d2a3d3e9b1cbee23cc51957a0d2f07fa3c2f61005","measurement_sources_decode":"zlib.decompress(base64.b64decode(measurement_sources_zb64)) is JSON mapping relative Python filenames to source text; needs requested SETUP runtime and supplied input artifacts."}