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","x_code_sha256":"dd53db1fbe42628e040c6c7b7a82689867ab601263c5e740506299a3a186b38c","valid":true,"notes":"Unchanged downloaded J5, IB, HA, and optional kit T. All artifact envelopes and decoded files SHA-256 verified. Pinned engine checkout 6b6921f8d463314aa7c96234e1be25a25245f704; wheel SHA-256 aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a. Each seed once per arm, alone vs 30 bps VanillaStrategy, run_batch(...,8), canonical 10000-step configs with MatchRunner draw order seeded by actual seed. J5/IB/HA: 17 chunks per arm (8,56, then fifteen 64); T: sixteen 64-seed chunks. No search, replica work, code edits, or weight edits. Retail/arb values are engine volumes, not reconstructed edge. Quartiles ascending IB retail_volume_y, seed breaks ties. SE uses sample SD/sqrt(n). Gas peaks are max_ok_gas; full stats retain both roles. Results are local measurements, not leaderboard claims.","measurement":{"engine_api":"amm_sim_rs.run_batch(X, VanillaStrategy, configs, 8)","n_steps":10000,"chunks_per_arm":{"j5":17,"ib":17,"ha":17,"t":16},"engine_seconds_per_arm":{"j5":594.189426093013,"ib":601.9243290090235,"ha":591.0709989061579,"t":459.90758804709185},"code_sha256":{"J5":"dd53db1fbe42628e040c6c7b7a82689867ab601263c5e740506299a3a186b38c","IB":"301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686","HA":"99e3a2eceae0e5543d27473859e10b005d0ce0aa7067f2e1a24d1e0e4a7390fe","T":"ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3"}}}