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","code_sha256":"21642bc08c48b79448f6cc4cddeb406f0d9be53ad49a37d8fe1f9d9d41904f74","port_zb64":"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malformed IB-vector evaluation discarded. IB alone re-evaluated with its documented TH_VALUES + anchors + HEAD0 flat weights layout; frozen and START rows preserved unchanged. No candidate reselection.","IB_corrected_seconds":13.17301893234253},"real":{"seeds":[8075776,8076287],"protocol":"Each strategy alone vs 30bps VanillaStrategy, amm_sim_rs.run_batch(X,VanillaStrategy,configs,8); 8 disjoint 64-seed chunks; configs per MatchRunner._build_configs draw order and BASELINE_SETTINGS/BASELINE_VARIANCE with RNG seeded by market seed","paired":{"frozen_vs_IB":{"n":512,"mean_diff":0.6391871199649286,"se":0.03954013346069903,"sum":327.26380542204345,"sumsq":618.2240742753252,"worst5":[{"seed":8075943,"diff":-2.038004957654948},{"seed":8076048,"diff":-1.6884886031750739},{"seed":8076002,"diff":-1.3861638021481895},{"seed":8075810,"diff":-1.3652831121089548},{"seed":8075839,"diff":-1.3222712924368807}],"retail_delta":{"n":512,"mean_diff":-0.33690816154249204,"se":0.040447783061200254},"arb_delta":{"n":512,"mean_diff":0.976095281507418,"se":0.017057817362102556},"retail_volume_y_delta":{"n":512,"mean_diff":115.65125172888854,"se":10.912344897349588},"arb_volume_y_delta":{"n":512,"mean_diff":-91.12904977005688,"se":7.198758238118699}},"START_vs_IB":{"n":512,"mean_diff":0.609171503286533,"se":0.04039486263689885,"sum":311.8958096827049,"sumsq":616.9147281128096,"worst5":[{"seed":8076048,"diff":-2.215714626554359},{"seed":8075810,"diff":-1.9391678231040714},{"seed":8075943,"diff":-1.937952078434705},{"seed":8076002,"diff":-1.4817078981784562},{"seed":8076067,"diff":-1.3548996575434558}],"retail_delta":{"n":512,"mean_diff":-0.4579161015276294,"se":0.04068585206479098},"arb_delta":{"n":512,"mean_diff":1.0670876048141604,"se":0.01715931918406234},"retail_volume_y_delta":{"n":512,"mean_diff":86.15364282603666,"se":10.564611683484797},"arb_volume_y_delta":{"n":512,"mean_diff":-167.2844540673505,"se":6.625063013587973}},"frozen_vs_START":{"n":512,"mean_diff":0.030015616678395585,"se":0.015765590198014223,"sum":15.36799573933854,"sumsq":65.49091664263906,"worst5":[{"seed":8076051,"diff":-1.8880875515578737},{"seed":8076028,"diff":-0.9125811733300679},{"seed":8076068,"diff":-0.8651742250092411},{"seed":8075838,"diff":-0.8616773067892609},{"seed":8076173,"diff":-0.8321918190004567}],"retail_delta":{"n":512,"mean_diff":0.12100793998513737,"se":0.016124345200761028},"arb_delta":{"n":512,"mean_diff":-0.09099232330674226,"se":0.00663714198073815},"retail_volume_y_delta":{"n":512,"mean_diff":29.49760890285188,"se":2.82732131111899},"arb_volume_y_delta":{"n":512,"mean_diff":76.15540429729363,"se":2.5453858805390905}}},"by_quartile":{"q1":{"frozen_vs_IB":{"n":128,"mean_diff":0.7068227481665281,"se":0.06437631498503071},"START_vs_IB":{"n":128,"mean_diff":0.6528984192874452,"se":0.06696781776239182},"frozen_vs_START":{"n":128,"mean_diff":0.05392432887908294,"se":0.033596450800832636}},"q2":{"frozen_vs_IB":{"n":128,"mean_diff":0.6653899487494188,"se":0.0697415371430458},"START_vs_IB":{"n":128,"mean_diff":0.6169294462985464,"se":0.06910226106727584},"frozen_vs_START":{"n":128,"mean_diff":0.04846050245087241,"se":0.027021132518358613}},"q3":{"frozen_vs_IB":{"n":128,"mean_diff":0.49912254876425033,"se":0.09891499846561583},"START_vs_IB":{"n":128,"mean_diff":0.5164758305870318,"se":0.10275252406171721},"frozen_vs_START":{"n":128,"mean_diff":-0.017353281822781508,"se":0.03114682118850564}},"q4":{"frozen_vs_IB":{"n":128,"mean_diff":0.6854132341795172,"se":0.07846900858328754},"START_vs_IB":{"n":128,"mean_diff":0.6503823169731087,"se":0.07967212642819929},"frozen_vs_START":{"n":128,"mean_diff":0.035030917206408496,"se":0.03385725112523008}}},"quartile_definition":"IB retail Y volume, ascending, q1 quietest; 128 markets each","mean_edge":{"IB":531.3120113750451,"START":531.9211828783317,"frozen":531.9511984950102},"run_batch_and_decomposition_seconds":{"IB":182.0420219898224,"START":182.328617811203,"frozen":180.0221128463745},"retail_arb_definition":"Edges in quote units. Arb edge reconstructed from pre-arb constant-product reserves, fair price and previous fees; independent engine arb Y volume validates reconstruction. Retail edge = engine total edge - reconstructed arb edge."},"gas":{"IB":{"gas_stats":[{"role":"Baseline","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":21796,"sum_ok_gas":11159552,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"afterSwap","calls":5523266,"ok":5523266,"max_ok_gas":22592,"sum_ok_gas":124620391456,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"getName","calls":512,"ok":512,"max_ok_gas":21526,"sum_ok_gas":11021312,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":243227,"sum_ok_gas":124532224,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterSwap","calls":5537736,"ok":5537736,"max_ok_gas":234912,"sum_ok_gas":748472391099,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"getName","calls":512,"ok":512,"max_ok_gas":21735,"sum_ok_gas":11128320,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0}],"afterSwap_peak":234912,"oog":0,"other_failures":0,"valid":true,"max_abs_arb_volume_reconstruction_error":0.0001186748304462526},"START":{"gas_stats":[{"role":"Baseline","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":21796,"sum_ok_gas":11159552,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"afterSwap","calls":5516551,"ok":5516551,"max_ok_gas":22592,"sum_ok_gas":124468803320,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"getName","calls":512,"ok":512,"max_ok_gas":21526,"sum_ok_gas":11021312,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":243234,"sum_ok_gas":124535808,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterSwap","calls":5557988,"ok":5557988,"max_ok_gas":237586,"sum_ok_gas":753044316224,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"getName","calls":512,"ok":512,"max_ok_gas":21742,"sum_ok_gas":11131904,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0}],"afterSwap_peak":237586,"oog":0,"other_failures":0,"valid":true,"max_abs_arb_volume_reconstruction_error":0.00012713053001789376},"frozen":{"gas_stats":[{"role":"Baseline","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":21796,"sum_ok_gas":11159552,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"afterSwap","calls":5518931,"ok":5518931,"max_ok_gas":22592,"sum_ok_gas":124522448872,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Baseline","callback":"getName","calls":512,"ok":512,"max_ok_gas":21526,"sum_ok_gas":11021312,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterInitialize","calls":512,"ok":512,"max_ok_gas":243234,"sum_ok_gas":124535808,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"afterSwap","calls":5563611,"ok":5563611,"max_ok_gas":237568,"sum_ok_gas":754229503682,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},{"role":"Submission","callback":"getName","calls":512,"ok":512,"max_ok_gas":21742,"sum_ok_gas":11131904,"oog":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0}],"afterSwap_peak":237568,"oog":0,"other_failures":0,"valid":true,"max_abs_arb_volume_reconstruction_error":8.419473306275904e-05}},"valid":true,"notes":["All downloaded artifact JSON SHA256s equal their URL IDs. Decoded code/port/source hashes and pinned simulator wheel checksum verified; checkout 6b6921f8d463314aa7c96234e1be25a25245f704.","Gate A and C: 50 sequences of 2000 swaps plus initialization, adapted supplied EVM differential harness, seeds 310000..310049. Gate B: replica J5 minus IA, seeds 7672000..7672511, target real +0.876 within 0.15.","Speed measured in a warmed persistent eight-process pool using the same market worker as search, 512 full 10000-step markets. Replica uses independent xorshift/Box-Muller streams rather than Rust PCG/Ziggurat; Gate B validates gain transfer, not identical paths.","Frozen port is the exact core run in Gate C and holdout; use its FROZEN vector for strat_init/strat_after, fresh float64[40] state per market. Vector = head-enabled flag, 19 multipliers, 19 offsets, W1(8x19), b1(8), W2(2x8), b2(2), three anchors, TH_VALUES.","Single holdout and single real confirmation after freezing; neither selected the candidate. No real seeds reused across chunks, all three arms paired on the same seeds.","Performance figures are local measurements, not a leaderboard submission. Source artifacts supply starting models and replica/harness; all reported gates, search, holdout and real figures were measured during this leg.","Training ran in segments shorter than eight minutes, preserving the complete CMA state including its serialized RandomState. Search ended at the reserved 30-minute confirmation window. Best monitored ES mean at generation 329 was frozen; final generation was 331.","IB holdout integration initially supplied an IA-style packed vector to the different IB API. That malformed IB-only evaluation was discarded and corrected using IB TH_VALUES with params at HEAD0. Frozen and START holdout rows were evaluated once and preserved; corrected IB port also passed 50x2000 EVM differential callbacks. No holdout or real results influenced selection."]}