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", "code_sha256": "9b9d7e098b185de26b98202e36a0513b30bd35e5997911ad2e8fc35102b5cd5a", "port_zb64": 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", "port_sha256": "572bb0e6b7eb78ce84d95a48730ba05e699914643c0a062892a5a73970e1f372", "port_note": "Port is START port unchanged; W layout: enabled, 19 feature multipliers, 19 offsets, 178 weights W1/b1/W2/b2, 3 anchors (count cap, linear k, quadratic k), RS2 TH with named constants replaced. Build W from params.", "holdout": {"seeds": [41070000, 41078191], "frozen_vs_start": {"n": 8192, "mean_diff": 0.008150768767103723, "se": 0.004066683207446508, "retail_edge_delta": 0.06695369711353229, "arb_edge_delta": -0.05880292834642747, "retail_volume_delta": 47.01265223961933}, "frozen_vs_IB": {"n": 8192, "mean_diff": 0.7978296896690368, "se": 0.009818139895734018, "retail_edge_delta": -0.15938699516267482, "arb_edge_delta": 0.957216684831712, "retail_volume_delta": 302.9513402964956}, "start_vs_IB": {"n": 8192, "mean_diff": 0.789678920901933, "se": 0.009500060623924462, "retail_edge_delta": -0.2263406922762071, "arb_edge_delta": 1.0160196131781394, "retail_volume_delta": 255.93868805687623}, "means": {"frozen": 525.9264944737836, "start": 525.9183437050165, "ib": 525.1286647841144}}, "real": {"engine": "amm_sim_rs.run_batch(X, VanillaStrategy, configs, 8), each arm alone, 64-seed commands; configs per MatchRunner._build_configs draws (np.random.default_rng(seed): size U(19,21), rate U(.6,1), sigma U(.000882,.001008)) via build_config", "frozen_vs_IB": {"n": 512, "mean_diff": 0.8385687554029577, "se": 0.03601115362787787, "sum": 429.34720276631435, "sumsq": 699.3223605171677, "worst5": [{"seed": 8173338, "diff": -1.371205257091333}, {"seed": 8173230, "diff": -1.2601498049730253}, {"seed": 8173189, "diff": -1.220967184575784}, {"seed": 8173547, "diff": -1.197147307138664}, {"seed": 8173401, "diff": -1.0751679942704868}], "seeds": [8173056, 8173567], "retail_edge_delta": -0.10704662739321658, "arb_edge_delta": 0.9456153827961726, "retail_volume_delta": 324.37023948320757, "arb_volume_delta": 54.7102723988667, "by_quartile": [{"quartile": 1, "n": 128, "mean_diff": 0.9125327267732573, "se": 0.0749731020710551, "sum": 116.80418902697693, "sumsq": 197.9620689625799}, {"quartile": 2, "n": 128, "mean_diff": 0.7968051634583424, "se": 0.0663872149372009, "sum": 101.99106092266783, "sumsq": 152.9114600342881}, {"quartile": 3, "n": 128, "mean_diff": 0.8144199699440517, "se": 0.07177659670647707, "sum": 104.24575615283862, "sumsq": 168.64878418671748}, {"quartile": 4, "n": 128, "mean_diff": 0.8305171614361795, "se": 0.07502908172932994, "sum": 106.30619666383097, "sumsq": 179.8000473335822}]}, "frozen_vs_start": {"n": 256, "mean_diff": 0.045602765338261575, "se": 0.021994717919272325, "sum": 11.674307926594963, "sumsq": 32.112730720084, "worst5": [{"seed": 8173146, "diff": -1.279633168161979}, {"seed": 8173284, "diff": -1.0065674762541903}, {"seed": 8173282, "diff": -0.935004138988063}, {"seed": 8173117, "diff": -0.7810564194342078}, {"seed": 8173300, "diff": -0.7205198653298339}], "seeds": [8173056, 8173311], "retail_edge_delta": 0.09542802715522125, "arb_edge_delta": -0.04982526181695886, "retail_volume_delta": 49.63617373123412, "arb_volume_delta": 80.9931056805581, "by_quartile": [{"quartile": 1, "n": 64, "mean_diff": 0.03936275763906405, "se": 0.04198479059793467, "sum": 2.519216488900099, "sumsq": 7.206460998832279}, {"quartile": 2, "n": 64, "mean_diff": 0.03373702100301745, "se": 0.04491916182296702, "sum": 2.159169344193117, "sumsq": 8.208335732189799}, {"quartile": 3, "n": 64, "mean_diff": 0.06570321117855915, "se": 0.04227573033926139, "sum": 4.205005515427786, "sumsq": 7.482423464281916}, {"quartile": 4, "n": 64, "mean_diff": 0.043608071532405646, "se": 0.0474911333490409, "sum": 2.7909165780739613, "sumsq": 9.215510524780008}]}, "start_vs_IB": {"n": 256, "mean_diff": 0.8090661797775383, "se": 0.049089348918722256, "sum": 207.1209420230498, "sumsq": 324.8839548063116, "worst5": [{"seed": 8173189, "diff": -1.450092968894296}, {"seed": 8173230, "diff": -1.3854979579651854}, {"seed": 8173081, "diff": -1.054453787031548}, {"seed": 8173220, "diff": -0.7854456155528169}, {"seed": 8173286, "diff": -0.6725768142063089}], "seeds": [8173056, 8173311], "retail_edge_delta": -0.16684790022798746, "arb_edge_delta": 0.9759140800055253, "retail_volume_delta": 283.6922654487181, "arb_volume_delta": -20.4296085314015, "by_quartile": [{"quartile": 1, "n": 64, "mean_diff": 0.8917134045826627, "se": 0.10664976173362627, "sum": 57.06965789329041, "sumsq": 96.7504391434417}, {"quartile": 2, "n": 64, "mean_diff": 0.8602522703217703, "se": 0.09492550225414273, "sum": 55.0561453005933, "sumsq": 83.69392513410813}, {"quartile": 3, "n": 64, "mean_diff": 0.7013936662996203, "se": 0.10515273526994358, "sum": 44.8891946431757, "sumsq": 76.06721487452964}, {"quartile": 4, "n": 64, "mean_diff": 0.7829053779060997, "se": 0.08501890908657422, "sum": 50.10594418599038, "sumsq": 68.37237565423212}]}, "n_per_arm": {"frozen": 512, "start": 256, "ib": 512}, "mean_edge": {"frozen": 532.1460880512966, "start": 532.0121495905585, "ib": 531.3075192958935}, "note": "START ran only on 8173056..8173311 (256 seeds) for lack of time; frozen_vs_start and start_vs_IB are on those 256 seeds. retail/arb edge split reconstructed from step fees/spots as in KIT-B decompose."}, "gas": {"frozen": {"afterSwap_peak": 237433, "oog": 0, "afterSwap_calls": 5592911, "errors": {"revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0}}, "start": {"afterSwap_peak": 237421, "oog": 0, "afterSwap_calls": 2795240, "errors": {"revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0}}, "ib": {"afterSwap_peak": 234965, "oog": 0, "afterSwap_calls": 5540276, "errors": {"revert": 0, "other_halt": 0, "tx_error": 0, "bad_return": 0}}, "afterSwap_peak": 237433, "oog": 0}, "valid": true, "notes": ["Improved over START on the replica holdout (+0.0082, se 0.0041, 8192 seeds) and on the real engine (+0.0456, se 0.0220, 256 paired seeds 8173056..8173311); vs IB real +0.8386 se 0.0360 on 512 seeds.", "Gate A/C use the first 2000 afterSwap callbacks of replica markets recorded from the port (python mode) and replayed in pyrevm via EVMStrategyAdapter.after_swap_wad with WAD-floored inputs.", "IB real chunks were run before the search (they do not depend on it); all real seeds 8173056..8173567 used once per arm.", "Restart: ES mean/covariance not shipped; next leg starts from params."]}