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","port_sha256":"732c0fb615480020795039a111e4a49a46f851e6f29720b09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and decoded source hashes were verified against all supplied artifact hashes. Checkout 6b6921f8 and pinned wheel hash passed setup.","The returned port binds the 41 named constants and three anchor entries to the parameter vector, preserving the supplied port calculations; its hash therefore differs from the input port hash.","Replica market paths use the provided independent RNG implementation; gate B checks transfer against the real-engine START minus IB result.","Each real arm ran alone against the 30 bps Vanilla strategy. Retail and arbitrage edge components use the KIT state reconstruction; volume deltas use engine values. Quartiles use IB retail volume.","The best monitored ES mean was frozen after search. All train generations used fresh disjoint seeds. Holdout was evaluated once. The first real chunk was retried after a reconstruction assertion, reusing its saved IB arm; no candidate was selected from that chunk."]}