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","code_sha256":"ad55e0fa143f9e54c4675a48bff0cd4b9fe37e74506602822cd76849b718bd35","port_zb64":"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","port_sha256":"6dafea0e68e0880ce56ef6d179d51552503cf307f1f7965a32568d109813492b","real":{"seeds":[8082944,8083455],"n_workers_per_arm":8,"chunks":[64,16],"protocol":"Each arm alone against 30 bps VanillaStrategy, amm_sim_rs.run_batch(X, VanillaStrategy, configs, 8); config RNG is numpy.default_rng(market seed), drawing retail_mean_size, retail_arrival_rate, then gbm_sigma in MatchRunner order","mean_edge":{"ib":529.6670706384655,"start":530.3224583759915,"frozen":530.3463421499349},"frozen_vs_IB":{"n":512,"mean_diff":0.6792715114694273,"se":0.03453902394155638,"sum":347.7870138723468,"sumsq":548.3541809330443,"worst5":[{"seed":8083337,"diff":-2.3921229315839128},{"seed":8083359,"diff":-2.2074004727388683},{"seed":8083216,"diff":-1.3438741004356416},{"seed":8083244,"diff":-1.312694191136984},{"seed":8083040,"diff":-1.2933187909959543}],"retail_delta":{"n":512,"mean_diff":7.547773798913312,"se":11.169742041783657,"sum":3864.4601850436156,"sumsq":32671197.204169802,"worst5":[{"seed":8083048,"diff":-447.3144885748188},{"seed":8083277,"diff":-438.61815361970366},{"seed":8082977,"diff":-428.50162941092276},{"seed":8083349,"diff":-425.84484069667815},{"seed":8083165,"diff":-424.37305287468917}]},"arb_delta":{"n":512,"mean_diff":-134.72146541236384,"se":8.064272146746177,"sum":-68977.39029113029,"sumsq":26307314.283045117,"worst5":[{"seed":8082972,"diff":-600.4169070724674},{"seed":8083277,"diff":-559.6593059429288},{"seed":8083376,"diff":-550.0460623244544},{"seed":8082949,"diff":-541.7312618282449},{"seed":8083359,"diff":-525.8521757118833}]},"by_quartile":{"q1":{"n":128,"mean_diff":0.7399145802529676,"se":0.058207213457081235},"q2":{"n":128,"mean_diff":0.5408044886077432,"se":0.06176887334239075},"q3":{"n":128,"mean_diff":0.6643488403227176,"se":0.06699117410040763},"q4":{"n":128,"mean_diff":0.7720181366942809,"se":0.08520048789347705}}},"start_vs_IB":{"n":512,"mean_diff":0.6553877375260393,"se":0.03372277144839275,"sum":335.5585216133321,"sumsq":517.455473682193,"worst5":[{"seed":8083337,"diff":-2.454322709413873},{"seed":8082987,"diff":-1.4732359081164077},{"seed":8083359,"diff":-1.412126192977155},{"seed":8083216,"diff":-1.3140001177158638},{"seed":8082968,"diff":-1.1293157953507489}],"retail_delta":{"n":512,"mean_diff":86.99184450630472,"se":10.8322432478338,"sum":44539.824387228015,"sumsq":34573844.65014385,"worst5":[{"seed":8083277,"diff":-427.8082688840732},{"seed":8083026,"diff":-347.99139451458177},{"seed":8083238,"diff":-338.03997714635625},{"seed":8083165,"diff":-332.50421421143255},{"seed":8083039,"diff":-332.20243248407496}]},"arb_delta":{"n":512,"mean_diff":-169.37712145994283,"se":7.291122093612444,"sum":-86721.08618749073,"sumsq":28597045.781125933,"worst5":[{"seed":8083277,"diff":-624.5628660891452},{"seed":8082972,"diff":-623.4117542060558},{"seed":8083376,"diff":-564.4195187445694},{"seed":8082949,"diff":-560.9653262364664},{"seed":8083396,"diff":-553.3482821235048}]},"by_quartile":{"q1":{"n":128,"mean_diff":0.7049740952763401,"se":0.054201549342893396},"q2":{"n":128,"mean_diff":0.5650464371997024,"se":0.061691994618848583},"q3":{"n":128,"mean_diff":0.636316806529682,"se":0.06607681138599655},"q4":{"n":128,"mean_diff":0.7152136110984326,"se":0.0841340205978151}}},"frozen_vs_start":{"n":512,"mean_diff":0.02388377394338803,"se":0.01642637180283243,"sum":12.228492259014672,"sumsq":70.88709762912094,"worst5":[{"seed":8083342,"diff":-1.6575136517504916},{"seed":8083121,"diff":-0.9719157665731473},{"seed":8083223,"diff":-0.9495522832417009},{"seed":8083106,"diff":-0.9001922139226508},{"seed":8083276,"diff":-0.87482264805152}],"retail_delta":{"n":512,"mean_diff":-79.4440707073914,"se":2.710966426316921,"sum":-40675.3642021844,"sumsq":5154238.76171805,"worst5":[{"seed":8083276,"diff":-285.2384685422003},{"seed":8083429,"diff":-266.07433331082575},{"seed":8083247,"diff":-234.3654528164334},{"seed":8083359,"diff":-222.9294571397768},{"seed":8083329,"diff":-220.61480291379848}]},"arb_delta":{"n":512,"mean_diff":34.655656047579015,"se":2.885889744832697,"sum":17743.695896360456,"sumsq":2793884.805921792,"worst5":[{"seed":8083403,"diff":-138.9430808924044},{"seed":8083274,"diff":-137.9632529461487},{"seed":8083296,"diff":-135.47858853527578},{"seed":8083240,"diff":-130.85094822395695},{"seed":8083364,"diff":-123.73639707385155}]},"by_quartile":{"q1":{"n":128,"mean_diff":0.034940484976627495,"se":0.030061960232958467},"q2":{"n":128,"mean_diff":-0.02424194859195916,"se":0.027224328803689045},"q3":{"n":128,"mean_diff":0.028032033793035538,"se":0.03254599050207056},"q4":{"n":128,"mean_diff":0.056804525595848254,"se":0.040133660431885425}}},"retail_arb_units":"Y volume, not edge split: LightweightSimResult exposes total edge and retail/arb volumes. Replica EDGE deltas are included in holdout.","available_markets_per_arm":{"ib":512,"start":512,"frozen":512},"paired_n":512,"complete":true,"paired_seeds":[8082944,8083455]},"valid":true,"notes":["START=J5; no holdout or real seed was used to select the candidate.","Only the neural head literals, 38 nonzero declared constants and three anchor literals were changed in Solidity. Feature scaling remains IA scaling. START self-freeze reproduced its Solidity byte for byte.","Gate A uses J5 constants as module defaults; the search port passes the same values through the parameter vector. Their fees matched exactly on a 2,000-callback replay.","port_zb64 is self-contained apart from numpy/numba; W_FROZEN contains the exact frozen vector used by the replica and Gate C. Pass W_FROZEN to strat_init/strat_after.","Paired SE uses sample standard deviation / sqrt(n). 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