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","cg_code_sha256":"e1ea8fcb105e00754d17061efbe4b299a634b0fcc1b5c293d65b631654b7204b","notes":["No search; exact decoded strategy sources and weights unchanged.","Pinned kit harness real used unchanged, with T.sol holding exact IB bytes, HA.sol exact HA bytes, Candidate exact CG bytes. Each arm separately versus VanillaStrategy, run_batch workers=8; gas reset before every arm of every 64-seed chunk.","Configs use kit sim.market_config(seed), the MatchRunner default ranges and draw order; build_config defaults, 10000 steps.","Retail volume quartiles use engine SimulationResult.retail_volume_y[submission] from IB, exposed by kit decompose; sorted ascending with seed tie-break. Retail and arb edges use kit decompose; deltas are mean per-market edge differences.","worst5 gives [seed,edge difference]; sumsq is uncentered sum of squared paired differences; wins count strictly positive differences; se uses sample standard deviation / sqrt(n).","Gas includes both Submission and Baseline roles; counts sum across chunks, peaks are maxima.","All 9 kit unit tests passed. Replica gates not applicable: real confirmation only, no replica work.","Max absolute arb-volume reconstruction error: 0.00010741837468231097","Independent final check passed: full seed coverage, all paired metrics, four 256-seed quartiles, mean-edge decomposition, CG payload identity, per-chunk strategy hashes, zero failure counters, command wall times under 480 seconds, and re-fetched source hashes and exact quotes."],"timing_seconds":{"7410000":{"T":18.521364321000874,"HA":19.006120128033217,"Candidate":19.71917814097833},"7410064":{"T":18.737969817011617,"HA":14.911914669035468,"Candidate":20.18778979300987},"7410128":{"T":18.83347353595309,"HA":18.13339089602232,"Candidate":15.590631065017078},"7410192":{"T":21.617493409023155,"HA":20.757649520994164,"Candidate":23.956793968041893},"7410256":{"T":25.749938124034088,"HA":25.732430861971807,"Candidate":37.49874504003674},"7410320":{"T":35.1265181049821,"HA":34.93208444601623,"Candidate":35.115000831952784},"7410384":{"T":37.23725921503501,"HA":36.210084345017094,"Candidate":39.52388198697008},"7410448":{"T":36.53117786097573,"HA":36.02401405398268,"Candidate":41.490267559012864},"7410512":{"T":37.55557076499099,"HA":35.323496912023984,"Candidate":41.423961571010295},"7410576":{"T":37.69516243896214,"HA":34.99316233099671,"Candidate":41.218885224021506},"7410640":{"T":34.970453793997876,"HA":36.04115360695869,"Candidate":40.79773481597658},"7410704":{"T":37.55853689200012,"HA":38.835817938961554,"Candidate":44.52464999305084},"7410768":{"T":37.2120799869881,"HA":36.11013384000398,"Candidate":36.87965380400419},"7410832":{"T":37.47012290300336,"HA":30.09948211797746,"Candidate":27.50422460597474},"7410896":{"T":27.88022525398992,"HA":22.647164913010783,"Candidate":21.300964218971785},"7410960":{"T":26.925503626989666,"HA":25.824195767985657,"Candidate":29.314039674995}},"chunk_wall_seconds":{"7410000":79.192,"7410064":59.259,"7410128":57.048,"7410192":72.914,"7410256":98.209,"7410320":118.17,"7410384":124.33,"7410448":126.781,"7410512":126.116,"7410576":125.584,"7410640":124.424,"7410704":135.323,"7410768":120.685,"7410832":103.39,"7410896":79.665,"7410960":91.278}}