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","code_sha256":"2d064ed29e272f0f5b2c926361b510346f11c53e41517642d73a504ab1269f09","port_zb64":"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","port_sha256":"732c0fb615480020795039a111e4a49a46f851e6f29720b092665b247d79006b","holdout":{"seeds":[41030000,41038191],"frozen_vs_start":{"n":8192,"mean_diff":0.0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ran until the scheduled 30-minute reserve cutoff, in thirteen commands under eight minutes each. Reported search minutes accumulate active training/monitor time; process restart/warmup overhead is excluded. The 323.56 markets/s search-speed measurement used the warmed persistent search pool; Gate B was timed concurrently with callback checks and is not the search-speed gate.","All five downloaded artifact JSON SHA256 values match their URL ids. IB Solidity 301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686; supplied PORT b29cd2a078b4c3fc57945a79e927624dd346c44d8cc149dae43f4929aa6d736b; replica 1e4c44b4bffbdeed65872ee15d46dbde209bf5aa11014329d13d100507b4040c. KIT-B decoded file hashes matched. Pinned checkout and setup wheel hashes verified; setup and StarterStrategy validation passed.","Frozen port is the supplied PORT with only its three anchor literals reading W[NW..NW+2] and TH passed as W[NW+3:] instead of PT. NW=217. Construct W as [1, params.scaling.feature_multipliers (19), params.scaling.feature_offsets (19), flattened W1,b1,W2,b2 (178), ANCHOR_COUNT_CAP,ANCHOR_LINEAR_K,ANCHOR_QUADRATIC_K, TH_VALUES with other named constants overridden]. IB used its own exact supplied port with its own frozen head weights.","Freeze rounds head weights to 1e-6, constants to WAD and integers. A source assertion verifies that only signed numeric literals differ from START Solidity; all identifiers, operations and whitespace are unchanged.","An extra noncanonical unanchored random-walk stress diagnostic (15% maximum trades) had one 0.01401 bps discrepancy and a division-by-zero revert on a separate sequence. It was replaced for the required Gate A by the supplied KIT-B canonical callback generator, which passed all 50 x 2000 callbacks. No stress diagnostic result was used to train or select weights.","Real gas_stats includes both roles. Any OOG or submission afterSwap peak over 245000 makes valid=false. Real engine exposes retail/arb volumes, not the split of edge, so retail/arb edge deltas are null. Volume deltas are means per market in Y units. Quartiles use ascending IB retail volume on the paired seeds.","First required IB real chunk ran during training to measure the confirmation budget; all other real chunks followed freezing. No holdout or real outcomes selected weights."]}