{"item": "k28", "batch": "r5-cg-continue", "hashes": {"kit_json": "0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786", "CG_json": "ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979", "IB_json": "afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557", "HA_json": "2801efc8190e86318dd922d4a7179f63684d77a226047fc2f3c78232963eb690", "CG_code": "e1ea8fcb105e00754d17061efbe4b299a634b0fcc1b5c293d65b631654b7204b", "CG_port": "b29cd2a078b4c3fc57945a79e927624dd346c44d8cc149dae43f4929aa6d736b", "IB_code": "301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686", "HA_code": "99e3a2eceae0e5543d27473859e10b005d0ce0aa7067f2e1a24d1e0e4a7390fe", "kit_sim": "d003c663b94968b58aaefb65fef8e910638ee1664e19f96c809b45e499910638", "kit_harness": "24169a30bddafe5f82fa6873adcd7d6c15892f883d1af25eebaa9b5f623606bc", "kit_diff_test": "32345abab9b1ea77ebe084b02e1c4b7bb692b5202af7c62572e36f96d3e2cb5b", "kit_tests": "2ff44560ef5b8ee5d5e1c32daf4e2c63b05fb858b9a4646640884fc66ca22bcd", "kit_port": "9aa80ce98b31cb18b14192a87a9b6d133e4c9c2d7adc4a51a5f170be95d92fef", "T_code": "ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3", "wheel": "aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a", "checkout": "6b6921f8d463314aa7c96234e1be25a25245f704", "all_verified": true}, "speed": {"n": 512, "procs": 30, "seconds": 0.9088309900835156, "markets_per_second": 563.3610710754378, "note": "kit-style run_many (fresh fork pool per call) with CG port, 30 procs; 1024-market run: 661.3/s. Below 2,000/s, so 256 training markets per generation. In-search throughput with a persistent pool about 700-900 markets/s."}, "gates": {"A": {"sequences": 50, "seeds": [310000, 310049], "callbacks": 100050, "swap_callbacks": 100000, "max_fee_diff_bps": 8.814065310946972e-05, "mean_abs_fee_diff_bps": 3.077533211010804e-06, "fees_over_0_01_bps": 0, "first_divergence": null, "passed": true, "threshold_bps": 0.01, "what": "CG.sol EVM vs IA port with CG W (217)"}, "B": {"n": 512, "mean_diff": 1.920372244773669, "se": 0.04445924198500627, "retail_delta": 4.78667942995755, "arb_delta": -2.866307185183879, "abs_error": 0.07962775522633092, "passed": true, "seeds": [7232768, 7233279], "reference_real": 2.0, "what": "replica CG minus T"}, "C": {"sequences": 50, "seeds": [310000, 310049], "callbacks": 100050, "swap_callbacks": 100000, "max_fee_diff_bps": 4.681980374579564e-05, "mean_abs_fee_diff_bps": 3.1197082350530457e-06, "fees_over_0_01_bps": 0, "first_divergence": null, "passed": true, "threshold_bps": 0.1, "what": "frozen Candidate.sol EVM vs IA port with frozen W"}}, "search": {"minutes": 40.360812778739884, "generations": 205, "market_evaluations": 1761280, "final_sigma": 0.04878765366731001, "settings": {"method": "pycma CMA-ES over 178 head weights (W1 8x19, b1, W2 2x8, b2); feature multipliers/offsets fixed at CG values", "start": "CG params (frozen policy)", "CMA_stds": {"W1": 0.16007274507182634, "b1": 0.18564858000307327, "W2": 0.12726224434596164, "b2": 0.1185932470281719, "rule": "0.1*rms of HA W1 (13 old cols)/b1/W2/b2; new W1 columns start at 0 with W1 std"}, "popsize": 32, "sigma0": 0.1, "sigma_cap": "sigma <= 0.10*0.5^(search_minutes/40), applied after every tell", "es_seed": 628, "train_markets_per_generation": 256, "train_seed_rule": "1770000000+gen*256 .. +255, common to all proposals", "fitness": "mean replica edge", "train_seeds_used": [1770000000, 1770052479], "monitor": [30000000, 30002047], "monitor_every": 10, "selection": "every 10 gens ES mean and generation best scored on monitor vs CG; freeze best monitor point, CG if none beats it", "weights_rounded": 1e-06, "processes": "24 (segments 1-2, real-engine arms ran concurrently) then 31"}}, "frozen": {"source": "genbest", "generation": 160, "monitor_gain_over_CG": 0.002818715215828077, "is_CG": false}, "curve": [{"generation": 10, "minutes": 2.01, "monitor_gain_over_CG": -0.015798490178194513, "es_mean_gain": -0.015798490178194513, "gen_best_gain": -0.016085960050260167, "se": 0.006205335529871894, "sigma": 0.08198689914407545}, {"generation": 20, "minutes": 4.117, "monitor_gain_over_CG": -0.008265406538901898, "es_mean_gain": -0.008265406538901898, "gen_best_gain": -0.010320211119913464, "se": 0.004397805738578806, "sigma": 0.07748104618290626}, {"generation": 30, "minutes": 6.113, "monitor_gain_over_CG": -0.0037416760934034787, "es_mean_gain": -0.0037416760934034787, "gen_best_gain": -0.01164706850737357, "se": 0.004373364995191455, "sigma": 0.07634257252110817}, {"generation": 40, "minutes": 8.153, "monitor_gain_over_CG": -0.007931113023008501, "es_mean_gain": -0.00854990074030873, "gen_best_gain": -0.007931113023008501, "se": 0.004564376339118317, "sigma": 0.07369563989557137}, {"generation": 50, "minutes": 10.28, "monitor_gain_over_CG": -0.004221256030206816, "es_mean_gain": -0.004221256030206816, "gen_best_gain": -0.005669449216929634, "se": 0.005423492219562548, "sigma": 0.07019277796686116}, {"generation": 60, "minutes": 12.342, "monitor_gain_over_CG": -0.011782073739465992, "es_mean_gain": -0.011782073739465992, "gen_best_gain": -0.013278898380280763, "se": 0.006291372016258474, "sigma": 0.06686148475766426}, {"generation": 70, "minutes": 14.218, "monitor_gain_over_CG": -0.008575752224808525, "es_mean_gain": -0.008575752224808525, "gen_best_gain": -0.011798904422237744, "se": 0.005628119570917894, "sigma": 0.06500264567905618}, {"generation": 80, "minutes": 15.848, "monitor_gain_over_CG": -0.009707346140849449, "es_mean_gain": -0.009707346140849449, "gen_best_gain": -0.01472891665944892, "se": 0.005325917818595156, "sigma": 0.06456542575986911}, {"generation": 90, "minutes": 17.716, "monitor_gain_over_CG": -0.004900504317762788, "es_mean_gain": -0.004900504317762788, "gen_best_gain": -0.009077880316805204, "se": 0.005448103369748258, "sigma": 0.06565873507483617}, {"generation": 100, "minutes": 19.584, "monitor_gain_over_CG": -0.0038214066452962325, "es_mean_gain": -0.0038214066452962325, "gen_best_gain": -0.014187103907145893, "se": 0.005306338523119692, "sigma": 0.06648145022721016}, {"generation": 110, "minutes": 21.396, "monitor_gain_over_CG": -0.009345471595869431, "es_mean_gain": -0.009345471595869431, "gen_best_gain": -0.014737367822648978, "se": 0.005276173410438363, "sigma": 0.06896085617156252}, {"generation": 120, "minutes": 23.158, "monitor_gain_over_CG": -0.01255230919332967, "es_mean_gain": -0.01255230919332967, "gen_best_gain": -0.016261710066617946, "se": 0.005360738164256221, "sigma": 0.06694482055759425}, {"generation": 130, "minutes": 25.026, "monitor_gain_over_CG": -0.002433880824643797, "es_mean_gain": -0.004787758149472382, "gen_best_gain": -0.002433880824643797, "se": 0.0055065351420598525, "sigma": 0.06481234815954733}, {"generation": 140, "minutes": 27.073, "monitor_gain_over_CG": 0.0008891300317231954, "es_mean_gain": 0.0008891300317231954, "gen_best_gain": 9.54645424597611e-05, "se": 0.005373876103606212, "sigma": 0.06255376008359191}, {"generation": 150, "minutes": 29.115, "monitor_gain_over_CG": -0.0038201226495353235, "es_mean_gain": -0.0038201226495353235, "gen_best_gain": -0.006078877267544663, "se": 0.00591119474703178, "sigma": 0.06037960870803191}, {"generation": 160, "minutes": 31.088, "monitor_gain_over_CG": 0.002818715215828077, "es_mean_gain": 0.0024125521101328318, "gen_best_gain": 0.002818715215828077, "se": 0.005609056461712636, "sigma": 0.058349916117517164}, {"generation": 170, "minutes": 33.077, "monitor_gain_over_CG": -0.0006781955634152792, "es_mean_gain": -0.0010552274965774933, "gen_best_gain": -0.0006781955634152792, "se": 0.005597422356088736, "sigma": 0.05637278647937628}, {"generation": 180, "minutes": 35.159, "monitor_gain_over_CG": -0.0003062521285848441, "es_mean_gain": -0.0003062521285848441, "gen_best_gain": -0.00525347209263724, "se": 0.005864360937861867, "sigma": 0.054375255116295984}, {"generation": 190, "minutes": 37.254, "monitor_gain_over_CG": -0.005890353127568609, "es_mean_gain": -0.005890353127568609, "gen_best_gain": -0.008793664607891188, "se": 0.005589092307282589, "sigma": 0.05243642932683626}, {"generation": 200, "minutes": 39.335, "monitor_gain_over_CG": -4.217444423876282e-05, "es_mean_gain": -0.0016053090848024976, "gen_best_gain": -4.217444423876282e-05, "se": 0.005896272064655279, "sigma": 0.05053419025786135}], "holdout": {"n": 8192, "seeds": [40000000, 40008191], "over_T": 1.9595034992557432, "over_CG": 0.007586207062099885, "over_CG_se": 0.0025626207160799343, "over_IB": 0.19050349925574328, "se": 0.011997966406281351, "CG_over_T": 1.9519172921936434, "note": "over_IB = over_T - 1.7690 (brief constant); se is that of over_T; over_CG is paired candidate minus CG on the same replica markets"}, "real": {"seeds": {"candidate": [8108000, 8109023], "IB": [8108000, 8109023], "CG": [8108000, 8108511], "HA": [8108000, 8108511]}, "protocol": "each arm alone vs 30 bps Vanilla: amm_sim_rs.run_batch(bytecode, Vanilla, configs, 8), configs via build_config with MatchRunner._build_configs draws (kit sim.market_config); 64-seed chunks; retail/arb split by kit harness.decompose", "vs_IB": {"n": 1024, "seeds": [8108000, 8109023], "mean_diff": 0.20053735866131328, "se": 0.020169385391516862, "sum": 205.3502552691848, "sumsq": 467.32885376310816, "worst5": [[8108885, -3.828182919721826], [8108098, -2.4224297945829107], [8108010, -2.413317036593128], [8108343, -2.161589719303379], [8108520, -2.1583576294743807]], "retail_delta": -0.2829685045471041, "arb_delta": 0.483505863208417}, "vs_CG": {"n": 512, "seeds": [8108000, 8108511], "mean_diff": 0.006311909307753161, "se": 0.009695854879811722, "sum": 3.2316975655696183, "sumsq": 24.616318333259656, "worst5": [[8108430, -0.9569191719738228], [8108338, -0.8424114847037458], [8108493, -0.7904666900824395], [8108409, -0.7267508963742557], [8108225, -0.7187961078900571]], "retail_delta": -0.024591542057165072, "arb_delta": 0.030903451364920363}, "vs_HA": {"n": 512, "seeds": [8108000, 8108511], "mean_diff": 0.8464801049118895, "se": 0.03271894436746069, "sum": 433.39781371488743, "sumsq": 646.9473540085085, "worst5": [[8108098, -1.681359527862071], [8108350, -1.0686632260795932], [8108315, -1.0685427089138102], [8108118, -0.9019119837544736], [8108149, -0.8179487160795134]], "retail_delta": 0.7271252627183081, "arb_delta": 0.11935484219357986}, "CG_vs_IB": {"n": 512, "seeds": [8108000, 8108511], "mean_diff": 0.18931615099208987, "se": 0.02853358122847454, "sum": 96.92986930795001, "sumsq": 231.36207448185792, "worst5": [[8108343, -2.386285572738757], [8108010, -2.3360484030258135], [8108098, -2.2075973790591092], [8108315, -2.1029469208264118], [8108149, -1.7184334649026596]], "retail_delta": -0.2505769497410495, "arb_delta": 0.43989310073313703}, "CG_vs_HA": {"n": 512, "seeds": [8108000, 8108511], "mean_diff": 0.8401681956041364, "se": 0.03236867852926541, "sum": 430.1661161493178, "sumsq": 635.5319381080137, "worst5": [[8108098, -1.4665271123382695], [8108315, -1.0557783095952118], [8108149, -0.9963019727338178], [8108343, -0.8444377384204245], [8108038, -0.8072157307495331]], "retail_delta": 0.7517168047754732, "arb_delta": 0.08845139082865949}, "means": {"Candidate": {"edge": 528.5096911287835, "retail": 558.6160394037807, "arb": -30.10634827499727}, "IB": {"edge": 528.3091537701221, "retail": 558.8990079083278, "arb": -30.589854138205688}, "CG": {"edge": 528.1015644692216, "retail": 558.882061062599, "arb": -30.78049659337733}, "HA": {"edge": 527.2613962736174, "retail": 558.1303442578234, "arb": -30.86894798420599}}, "max_abs_arb_volume_reconstruction_error": 0.00011623126556514762}, "gas": {"afterSwap_peak": 235611, "afterInitialize_peak": 243237, "OOG": 0, "other_failures": 0, "afterSwap_calls": 11022382, "valid": true, "per_arm": {"Candidate": {"afterSwap_peak": 235611, "afterInitialize_peak": 243237, "OOG": 0, "other_failures": 0, "afterSwap_calls": 11022382, "valid": true}, "IB": {"afterSwap_peak": 234958, "afterInitialize_peak": 243227, "OOG": 0, "other_failures": 0, "afterSwap_calls": 11019404, "valid": true}, "CG": {"afterSwap_peak": 235502, "afterInitialize_peak": 243237, "OOG": 0, "other_failures": 0, "afterSwap_calls": 5508586, "valid": true}, "HA": {"afterSwap_peak": 231418, "afterInitialize_peak": 243147, "OOG": 0, "other_failures": 0, "afterSwap_calls": 5435022, "valid": true}}}, "valid": true, "code_zb64": "eNrdPVtz2zaX7/kVbB86ok3ZBO+0LHmcxGk96yT+Yvdru52sh5LomIkkqiRlO2nz3/fgSgAEZeXbycvmQSZBnIODc8c1h4fW1eXL34cXxSxf1fnwfJ6vmuK2yKsj6/X59bN1lX1YZlZdLop50Xy2/sc9SA68YPTsWbFcl1Vj/X36+vVVU2VN/uHz86zOv1q3Vbm0fjw41D4cAI4fRwLsusrm+fnqtmwBziUIVvvZrFxByayx+AerqC0Ns/X3Mwv+bYpV44WRBSB1k60a6+zi9PLq7OXNi9NLa2wlI3Otq/Of35xe3Fz/8u7s6pe3Fy+h6m+nL61DKwrdHpCX5+9uXp69OP0D6sahq/3rATp9cS2AQn9HoKvz/z77dqjrt78LoBTt3NTPr08FWJTuCHZx+vr5yxYuTb+lZ88vzt68FLCJl+zePxU0RLsLQYVMk3A30MtfTq9vTi/gD0B5sfutUDfvzq5Pzy8wb78d9ur09RlAIm9H0Hdn/z57d33zK8BsU+Lz15eYI69/vbiGmkFPzZ9Pr89uqHqwmnGHjr5WXp+/ucHwALSz9r47fXl2Q2T89u0Vbs4HEVl71vPLqz5luj69OLs5vQZQ6M4r+MXMcsOduXXNnAS1fD/conhyxXBrF96dXp+/3ak+MyJaFSW7Svnq+uzy5sXbX99w8qM+ET4/vTq7eXWGxRBs5yQR84u3Z6+wlrvf5gQYGPK2NvHq4u1vN8T8Wf0gCbZDELbTuv4TmoCr/uvX05eCFqwDWyGwxrDKKUoCf2tlbDSCOU/WlOhGO2mwhD4Cv7SDpKQmnjIS7H1u/usNUYJol7pXF28vz24u3729PnuBzTDd2YJbaGaT2LsbrJGA325Ws6YoV1Z22+TV+apoimxRfMkHHG9Bi353LK3kD9vKHwFmlS2s8j6vqmKeW1XebKpVbXFwAWWzPAH/qxdlU//pvge6uGmMWCEyFfrvqQ2PLA1FiD9wAq2J5Von1sO8uB9wEh3x1baOmBpgRBqeCONJVRbxxmP8LenaIvucvDeYqo4fEUKDDhLrH8GogY7Dto6PLRS5tmANYUPqeqFOAwrwF84SiUtUGtaAM9QRrLUpiV9NSnD1kK0HIkO0ZtliMc+azGpw0X8sdK496yq/f17MX+W5oNkFmuXPp/Un+TOSPi+yurmu4RMuiIIBreG9t0edhuZFddVAmirw+BIeSGrPILPmnwKZgl+yRmZnB3FdQFIuV4oUApfTufI1lr7WYFnyt8SAvikfZdJSGbzJ10QwL8rNqsWCgIHPzGS+KqtXwDJclVHdbfAWKshEgTp1K4GG5FWTwdvntqJv5M4iJ7QRdTloimUOfmm5BvNkwjvpfBryT0eWZDvTslzAgONN/nAF/d6CsQUpbq2BgJC1T6YwX2TrOp+/yx4MOIcdnAZQgJOQTJSxzonydiRVVFFK6nkzz2fZ5xfAtrzK5wP+xWmHOg5HY6tIhBo/LDeLAX1zrJt1+fBbNh+IQU8LrsG3+kgQsNcWQzsC6kUh1JVgoG8tAjEY6oXHItP0Gjvyn35SWezq0pTFQo3ufEUUXcdGPL4N+V+fJDgVEpaJlBTaKvr2QxeLbPyEHaLAUYZqtrUvf8eYHZKkDtVqagtflbfDQ+uyKmd5XVv3WVVkYJ94dL6uynX2AbRnDqGvxt65ucstPL1Qgm5ZmzW48vygIwHZvCcW0kORav2oL9oRldJ9lPT96zPVuG+Lqm7OV8y8dUgFVLiXddk6lyqv8+o+V0K/8gXUTq2J04C14gVx76nLH2Ml494fmjH41Ns8/5XaP0Vb1M83n6FlKagdSSGsS/6HbEmMhSM6JmI/YcLnpUemnq/Pl+tFkc9V0hlCQvvfog7vgaQz+QLP1cg11C5QBwBADiUSc4owVC4bySIEDbw6Ai27zSsrs1blkCCEAnBj95AfzIhDoxNMWAmxY7XWZd2wihjxgTl+zPIrSDtylvYpHZZ1BpwECzegs33u/gMJfqTW0EJd5/OBAuNqyOz1H9gQcijcWjcfBA7ZZuhaxEvvvTWZiGGi4gCZBHFdVT2VFB97Nyon7i5axSM+hchL/kb10Mbuz+s2O7MmtD2m9/vMbT040NaQflGhiBaRusO2Ln23Zp3goksSKhEY38C+B9voJ8wyhYyTcUo2/WxavyxubwdcxyllNvujWpWMLVus74hRSqp1Ik85HXVnksyYgOWXd1ljlCLxeHUO47T5ZVUQ1/iDrswdD4hMOLJl/rKoMMEZiGNES8v1Wi7sqljbsimUEhybtYdJ5y5iYuqGkmKjNhf03pujKtT5gXmnlnBcintn419oddSS/wOrNdLinegH/WwLqWkTddtipuY/CE2cekPHQQkQyN7TSRF6M8/WTXGf/0zTOJZC0TTb0SfuDGmPAn8sZutsHTH/oOV+rP809cMvjmJyeqpoIFYu2wqMqcU2dzxW8JCQI6U7a9JxauiEIpHotCZJy0cGyTAVADsQE6hP5H1gbq0Coh4FxJUmspdjwuWUwWfq6hzRrt3F1Dq+Mfd3osvU1/aCP6WDRqoxtyd8btRmDo+9dqmThqSaFkoLC0IYgIxLSf7cR7Ua8s9xUC/KCpOUFQurKjdNsfpg5X9tyMRRjbOYYTb/uKlxErrMqg8Fni1YVwUkqwdK9rCZ1gCGIzPJCGrIHSCTwF7QmmWrFWR6U5q/slkcK6umBVT9kLPkRckMdG/Ks6mJ5bP5NlxKEyaDYnGlWpXVMltcyXkmyZE6TGdRp5M4cd7yVu0O5FEHUoMQ+ZYC2jW1lE1oQXhHOE9nAm674EC5UmXUI9YXfISQ1fVmmc+HcyjAa444YSMCP7DelNLkDyR2m2ZTYdmsN03dTeRAVjBAmWbTYgF42nYHbL7BkUcVjlbdxsNi0fTgkj+d48YGClfM6FqHQxmsZmCOyleRRDlS0uTI+QDzjo0ja4SKRR14dIck2RIHdX1E8gfJSwQieXQsT/tJfetUILN/jAuG6STc2rusKUp92PSNNKppuIR2oq+42Gqj2ldpWNVBpC8H99noelPf8e5Q2D19Sa0bwAjQhNlCYHMk7L1bX5K0yUtLEzjicZ8g7UmEeKWJ5fFJCQmHp09NExtlw7adGp/QHp20JUNa0kl8v+4wiaQt1grf0vKcey295m5TTPoS9JYGOlUN2S1rZUL52jaqsPTrM9Ns65aRBPUd/aMIoiaAYcIXJ22GkL22Nc3TZNpaesuD8pF3Xq9inDC+Kj5gpzxmzRjrXBSrPKuMn/61yeYVcHw2emLctc5mn/L56Wp2V1Zt5hW9N4+Gqs3qdZ6t2tl6GbxvtJyB3xZzR0p7fWNnCeLYimKwbKlof99g2FQWkOUzCm1BKoyA2ech/3YoYTMMhjkkjIcH7HlIMWyBFIyzBA14LUjpCvQl6M61Uini6JgRrjyHqDTnDTsWV6wYeVEauShI3DgK3QRFXVRC6k9iQ14aeoEbh37iRT5yozBSE4lnvbN/WsG+PKI1Tv2qy+p2F6NawTBJV1YFSTkvyOQqQIhZ2FGnzhU4CjI/RPyFRBqp9idK31vLfFlWn63Voxa4/ABYEsVpilI/QInvBtuySqrJrxblQ2s3YZ/dUMeOXxN30EL2mMyMMaZTH1tM4vZALUHCrPdGQLL02B0EEtLIeJ5RGfRsU5Ch2rYIpNS09yRs73KO3JmCzs1TThyyXM0chgs6v+/zEMxAfVP41aac8Oa8ckUzUzINmHY2XDnthGQUQDSBnyNWZBhUVtJYvCJjcNGKCAUFXxwYtt+6mGbdyfZuoBfzmXnx4a7pTHjhNtQsHGjv8KTVuqrKZzDE+41jo2i7EvSw2L1t4lsWdY3HkIwVbOAGfgdcmO8mieunEfLTwEuTJLHNcuU4QLTavziypRa6X03c7PSNjNfIGxUGQ7h1qE+Fsj/W8ZkZugC/vpK4gFsxKRilQmtYMqmbKXHivMSx5ISKN6KBb1taE2GYewZwe/1mUq96FlVH1N2vsIBAGUg93+siWj3+iWK6r4Psi4CK1FLNYtfG/Jr+TqzOvhfXpn3SaDTMqXAnPSZmCuF5xgMzOFX8LpjOdmrgMsANb8AiexdLpHMo7zpuwI8iP8EBJkU+xF0UJT1enCLgzpT4V7Bknv4eUZxCFVCS+B6YUpgglIIxQczS8MormEyR2jXMllqnG/x6036Ghif+LcXbkXztLr6B/rGe6ourDLkhOb4le5TbPUXcrbZb7RwxeyZ8rrSjzmlZIj6re+gcQZip+dcFXmqjVDBwvmvMafM5W/4mdtA5YjAgUjVHSdxsAcf30TlsNCeRwknAf5TOt3Roc4YtWbaU88iqoaZYI0nacmJl3JPzMr8f8bWQxeKyyut6U+VqUtgOacc0SP/NIOXh7pBuCZOxELPe5IZlTwFOB1UcSQecragYBor1p/yBax7fKegwvEIM8r5DxlZaw2lHabZBTaZk9knanqQtH9MFnJZSPZhO+YYqJmVMrDb9z/dUkRoT2p0T+jakb8rI1jjzoCIxNaMSskMzT630gXNe5J15z9jg1ZkIxHRgd5Gxb8iJm7gmw3bD4J8TYEuPph0sDIc0EyDh7UwHdNq/uituRSfV/aiOwNTTgawhpzQUFC1Sx7BB29QDPOE9GbedNC0Scumyh32J9m4AFdrCHiYqoSe8fKiWd2er+ibB9Aa2k6MT3yGHlT9JztPKS9wbSTBOF2DzZLeFPJ1I1noZv+ms0j+QOvxgqnFsWoUXs5MM/bbcmtR7Xpa1UA1ti7+cIPYkWfrKioQTDxTZooXaFC82Y1TnVg2K1eIyLQQzr95VgH4wo9h29qsziH5reBzczMrlGte+hizmt6K5u1qU63wwZcsH3a3b+n43QfNTKDO2CtHdzy2j3O6n/4M2esj+v3DCRPazZzsuiJKFcu5AGBWggsKIxZpZS6LvmlSP8Alja+2fosXDBt5Ai03wsItNI34rvqiLr2MYgrKt/Yy6/RSY+oLoanaX46GbwT/AOMuVh1k8B97Du/sOUY68ITLNyfAxmgTbZsh73tOQntIqzdv3wl3a9CVINsW6G2AgAbL8eDfAUALkOaP9BJhYR75TchZDyrKvJCxP5iuMJjJpPOAMhBhhD9nL6s4m/aL/DttSIx55kC1FAMGYnlCgeG6OZkgejM0kMu/VNd5dtCV935mnYsgQT/yOrKFWZNZYWd2l9VQsz2i7riNFZfFk3iQBQpJ2bm+PwR8mZgyy0m+kv+IIA4re2/aOWkmXhI1ruQz1Dku6mG+sdh/DZLMxbqo2g8lGI+1PNFeOtMpsw6K5ciKrvrZ9dbetGLtvvbChULIr+ApySaxD6wmzosJhD3tWFMRuGCQoxvsvMIJ9azCMUOKl/jauswdo1E9DL1GgPdePvcjbxn32sGd5nhuhOEVIRpC4vhvG2wTCHjB8goB6X4NPIhTaW+bu2MOeFSDgVagAe36C0DYBswdoPA58PwxCX4JHcWzq+W1ZieNH1qoYu6NVcYxS+N3fN2XH1J0NoKlV8X4ScFdC38dBn/EpYMdDHW7YC9hNYZkaW3dThz9lZNfLXZ7NoQVTKs66N21NhuYC9v7ddA+Z11BkwExyxdTO9u+ybYAi1VhNj7F7ccF+BqvphCF5ffo7OUwGX9gjfOfubTW17S2DwlUmYcx2w5jZu2xSk44X8nkV6XAhm1ppNwSN2diXLrha//TPDEunEaUJJHaADKMmqcVIPpyo7p+VThuK41jyMUNpoVI6XdhZnOQHw9r1/vYgWGfJVUoO+XFAnqJnsq/Fq7jqYUCqid2V0Eeb7vEnu/rwtJk4/8dns7hGZ8oBwJ5kFGszCjwvCHjMszKyMgi+JzCGQYb9i1r6BZ+OjOME3AX4iQGKAi8IwYvgPBfPDg38NE6jhJQgWjKMojiMA1Lk0SJA7PmhR4p8VssL3DTxIlIWsDIU+ChGpCjkReAm3SAlZRHDhv1vTCFjVi2AJpKYVks4aJhEvkvRpawsDWJwdpRcl5eB3w5oNcT6kMReGNAWkCfQQe8ZdYj1IkB+Eru0iHUichPWU8T7ELuxH1OuIdaHYYKXC2gR6wOCmOCFjDboA6RQ5uXbwZdj8I5fwB3zQc7gS+ttv5gd7ZTswgCN8FLcxBcbKwQuiv3QRQEt6ogeJJImcZgS4Yd480MiCz91oyBUhI9CCK0oloXvu0maeoEsfD9CKTmWLkQfhWGMXEXyQRR7rCgSjIy8VJG777LT8ELsAQKSAkXoIPHETVWho8RPUxQoUscbO5Am9cDzo1AV+hBCv+spQgdsPkKhInYUuT4jREjd9yM/VKQeJShC3ncV+tADG4LkSBE7qDNeAUN9ggdWJEkUUKtPILuIVbMPEnyng2L3CKEo8kJZ9siLvSANZdkj8CW+H8jC90CLgjRW7R70zmWuJuKQCMw5keWPLdKPPNXsge+Rq2hAnMS60SMEOhG5ivyHMTgRpmBcASDTBK1T5I/SGPmq+LGueolq9V7sY3NTFAByTObyuPyxhYWRj76rBnipi4idyvL38HamuE/+YeKD16fid+PYl4VP/HSUKNIPwpRxU1gOmLQbKz4fQebpe4rsh+BSOCTjXJjEUSwLPoT0lgmUcS0A02IRgInd90DsqSx0L4RKutXHseu5oSr1BIIHI4pLHVwDF6dQW7ygqkgdbCQOfVeROgRYP+XBhFt9BEL3fVXsEBEQ16vvJHXMRl8Ruh8lQRihfmef+DA8IEKH7kbMShnzwjDk0RQJ2wi58+JSj8AcWUgQkR5Cv8/sVkR6vFwepqrDdyESe4rDD9I09hWP78c8BjPBhzFzOUzsaQSKq0kdDJarlPD1fhQw9yJ8PfTe5R7b5/IMo0ATux+4UaIau4c8FLLYiFrieZbCpR6EEH2/r9CHfoiDmGrsCIa7ntcn9sRHYKrU1IEr3NRam4F46inGDuEvBk1RBA8MiLlf5GEe0j6UKOYOZhW5zAUK3oFsmCkw1qWQuTGfINwk8nyfuSHu6UNMmJrfxSFKVOn7YeoJ/8roD9PYTXxV+DHCuyXUQO/FAKlGeh87a9XmgUOQtqaeJv0oEIlxLJI+SCbS7yx/7GOR5usTBIqd9Nq9D+HL94gGDCG5DtM0lVUAxO15XG85uyBVDTTTh4QgUhw+eIIwjhTLhx6HbqTl+GAVvqu4fMjwPT/xlFgPKTlCkRrrEc72ElkFEGQEvqfqADg2cOiu5gDAASNNCWCoEfF8vg1aiR+GapIPhV6ccv/NEz5gMfcVkYiUsZdy4JiPX9yYSuM7qgGC6OIFqvvHCSnJ2UxagIdZIBeqAyF4f5bFczfgoxS8XCorAbgaFLlK1PchSgbMvjkDQbhBghT3D2NQn7nt1oggI/fUgZ7rg+bFshJAnu2l2jAvStNACQGQ1oAr0hI+iMwgnkhL+BE2e00HYjDdWNGBCI8kQzXlA9/GKRGOAEJTyFMOoQExhLU0UId6UeDi5Pp7agCIE8bNahwAo/VNGd/UOhQXUOC60pu2dUy/20jZ4i7vgm5vtrrPFpu8ff3UO9FhuN8IL458whvwyIYlNtVCEKrbeEgRXvhf0oMHtOKSHD6gy0WkxpBQ9sl0r1G+aMRBElxrSMmW6zKstOoxxX5C/gxpmdjVwLhUN9Vm1ljqOTvD7U3LTbtJ6V7aTj+tR8oVHcqFTlfkMg3Dnidlw9NIuhNkpF0nxL5NN5/Vu5R4H1RB950bfHoCS7/AyniTFZbi48Fyw3az00f4UyvdpLXugftI3qWEi5QbVLqMWZRcuo8HjHt0z/HjAfDMoBF3Bd+61AEAvto6TYTDpmV26AJd3EJ45Vngmmw9g81u1RkL4OQkOeIv3flf3P999RqzvQHDMTQtCxBWOwBmj2+mGZguf3cWpXNXbN1mC7X2x8qNaVu2ly7f0QPNYyLRLpfvpe/3I/ns7KnYXl4+rIZrsfkH38eTtXfvkBPQ2FTw9ShYUw9MglFYbzpRMmCEOpwismrQsgaT54ASOZbCna/qWekeNSC9WWT43pY1uaQCukB37B5Yb1eLzxY4kkKcAC83De3kSu6WjrC8JWe4S/gBrMAdx3oomjsrf1wvilnRyLDyQdcD42a3W7J6AKZAlv2ISYA3I5re3SR1q23q6FdjemRawtwuE1LLphYFCOmi4tB394xnu/Xz3TI0g2lRbTtuUhfzDaFI2ZRI6XSIjtoO+d2yBaEsyOZn5RBBewsAbcHhD1sQfWodzD22vX2C2XSihS0xsE3fRCEZyZ9shzHk3sH9h/ftm+Q5LmHw7tbt4bnOqscDUCzHyKj27GOTLf5NTRr44pk8Ba/7RRwDwb3IHVAECm6M0fTwfHtUiEBCt3HX978cJrYTGODK+bzmzp/hcAikfsrKuSnqv6pmQCnYwzmH3XH0OEIS9de3ysrN4GcnwBggszOgaK9X6kAlXSgRnPGWR0Yj8HZP3S0gDiIV8+aOs/WuGILT6hHUvMCXm85y5p2PF+XJohzixyOiH5O74gT/Hd4VRyZ6vjwH/ygEiH84RqYgtSmwLrNa9JhCYoId8rvv7QGMo8iVVCRNOeS3IxOCkNz5dUjua2ANsPe2Lmc1Rk5YjSsaCFxX5VSph6nAD4a6n06rqWzGvcq7pBVlE6amhDGY6tMzvvzcEYtOGIuD6TNtd8+bhzxf6QZLQBh8r8mKy+745ipoQnMsmEyxHxyXkDo8Wio+hlVqMfHqzFkxSh32V5enIMZwZ55EaO+FedzFkWSfA8hc01PbqTJ6yRzBUfH00JPcmsYsrPnpZJzh7dhUf6fDzHnAG2WyIb0QYAj87SMnk8dSG0HEvdMms06bpj5BmmMgEV8TU9427a1yi+JTvijuynJuZfdlAXYCloz/o4JitSmaIodspLH+oidkcBurcp4bbiep52M6gNpwV0qdVFfj8II/GzhkM+mE/C2MLzi2jzDs/Xgcjz52d5sIUx1/PPaBy9DiZOAPP9rgPk7AYfHnI4R5vtzsDz4OfVzQcxfd+ON47J/E3tEAHrx//oHf4CQIySsir+EJcgFbz2EB7vfGa+ZE10eDNXafa913Kv5zXM8n7onqOcH/HfVcqdZKaax4yGCP+kjni07fA5XHA5aC04J3Ljyd/em+3x8/jPATwk/0Erp1X3fH6tVwDnb2naQJI/NaZDT+OnN7a8KxZKgJIQ6lzBS6VAqWXQqETpIr2lqsngErNRnAQitPBKkntGAoCo5QZydpZ0rEvIVbSrXbyZAaf/rWCRGcfx+P28vPxXzHrXy6iZW1V6Tvi3PA+AIMXuwwGnr6whKt9lbjWVNWLf0w2niKepx0bxaN6iFxiX6PyMMdpEXWAFCaBmi44/jTTxa/5E5g4Yk3vDmMQk0TaaE4Cc06YaxKmp8odwT2zHyp9wuLE9yswJHSVqj3Smccu7f3G0TfRoSFlAIr2Lv3GZMLKRlJ0sE/phx4lyZTC1GJnAB0cCvKfXJtlkFvW+BpAL6iUnSZAHUCIYFQ72SlZfp8GYSlV4sSBFVDqMHcKMvmyJoWzRAC9AdIausc36UFOWed30Om8yZ/aEASeGsWsCxbLMTE0oEmKxqMeB8en9bZztQUv5+B9kkeyfTswOKo8HjlUdWxqnsrKm7jM7khwkvE1Y6fqSZ6yQhAjo/Jf4ZhuPjuM73ERQPDdSmU7/VC+Z4GhetSKBT1QqFIJzHiUEkvkN4t0an+PuldEj3q71DbH9YLvSa5KLMCrX+0DrGYcXdG/29riCE5VkJcaWSaDABWWfisXgUW2Tzl9z7kzZtsmQ+k/7OA2FD3Py6omwpP39E0T/I6P/LJuxvk/ojl8/XZ/wIf8vn6", "code_sha256": "9c460d9b0e550f513c24220c011008daefa3e8908f8a1ad70bdc755c56ed6341", "params": {"architecture": "19-8-2, inputs clipped [-4,4], ReLU clipped [0,4], output bps added to T fees, clamp [0,0.1]; Solidity signed 1e6 fixed point", "W1": [[0.164245, 0.397968, -0.667574, 2.562352, -2.409826, -0.143171, -1.131049, 2.220676, -4.256879, -1.586301, -0.947177, -0.905741, 0.872546, -1.516471, 0.41387, 0.060852, -0.707375, -0.085811, 1.148257], [0.569608, 0.906458, 1.539517, 3.089924, 0.361943, 0.65571, -0.46721, -0.070629, -0.305, 0.414584, -0.177809, -1.839914, 0.148016, -0.423651, -0.079102, 1.833115, 0.160384, -0.033635, 0.681612], [1.838175, 3.4882, -1.116625, 1.272495, 1.853334, 2.645497, -1.987045, 1.813018, 1.647362, -1.603604, 0.078777, -1.17806, -0.756829, 0.470706, 0.019713, 1.467228, -2.734222, 0.037226, -1.495631], [0.010773, -1.43168, 0.04596, -0.455707, -1.335324, -0.60896, 0.058767, 0.582304, 0.403876, 0.326039, 0.250389, -1.770205, -0.842524, 0.099128, 0.189193, -0.48753, 2.023941, -0.622633, -0.737106], [0.891634, 0.555301, 4.705612, -0.636258, -2.352318, -1.158159, -0.409052, -0.499739, 0.037471, 0.005725, 0.096378, -1.971767, 0.136445, -0.832084, 0.205643, -0.340688, 2.121508, -0.049676, 0.452976], [1.364304, -1.75842, 1.027327, -2.157713, 3.562184, 1.286026, 2.176706, 0.95866, -1.123373, -0.558421, -0.075188, 3.592631, 0.597083, -0.714183, -0.276312, 0.35631, -1.731792, -0.464968, -0.853659], [-2.205999, 1.022276, -0.725742, -0.620067, 2.585768, 1.005061, -1.297307, 2.062382, 1.254116, -1.114588, 1.473328, 1.48912, 1.371013, -0.10467, -1.38355, -1.327906, 0.184843, -1.47295, 2.207848], [-2.591617, -3.192129, 3.5816, 3.919426, -0.973481, -0.841325, -1.783929, 2.030227, 0.833299, -0.169945, 2.677717, -2.024846, 1.417141, -0.174647, 0.658635, 1.562299, -0.471589, -1.709094, 1.640864]], "b1": [0.977853, -1.498759, -4.808864, -0.583785, -1.483274, -0.831557, -1.367232, 0.310461], "W2": [[0.422297, -2.131182, 0.290158, 0.087673, -3.580168, -0.333531, -1.106243, 1.040498], [0.735014, -1.571681, -1.271267, 3.684561, 0.195222, -1.810848, 0.6038, 0.072537]], "b2": [1.422441, 2.022841], "scaling": {"feature_order": ["sigmaHat", "lambdaHat", "sizeHat", "toxEma", "actEma", "direction", "(spot-staleHat)/staleHat", "signed_trade_ratio", "arb_probability", "first_in_step", "uncertainty", "min(silent,8)/8", "anchor_mean", "raw_size", "step_trade_count", "prev_bid_fee", "prev_ask_fee", "steps_since_arb_like_print", "router_implied_vanilla_spot_dev"], "feature_multipliers": [1000.0, 2.0, 500.0, 500.0, 500.0, 1.0, 500.0, 500.0, 2.0, 2.0, 1000000.0, 1.0, 500.0, 647.054817, 1.395287, 220.617911, 228.148131, 0.412565, 274.335453], "feature_offsets": [-1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 0.0, 0.0, -1.0, -1.0, -1.0, 0.0, -1.0, -0.618293, -2.037262, -0.803057, -0.808615, -0.823811, 0.001772], "weight_fixed_point_scale": 1000000, "feature_fixed_point_scale": 1000000, "toxicity_anchor": {"count_cap": 674, "linear_k_wad": 712696014807650816, "quadratic_k_wad": 1295240753826310656}}}, "weights": [0.164245, 0.397968, -0.667574, 2.562352, -2.409826, -0.143171, -1.131049, 2.220676, -4.256879, -1.586301, -0.947177, -0.905741, 0.872546, -1.516471, 0.41387, 0.060852, -0.707375, -0.085811, 1.148257, 0.569608, 0.906458, 1.539517, 3.089924, 0.361943, 0.65571, -0.46721, -0.070629, -0.305, 0.414584, -0.177809, -1.839914, 0.148016, -0.423651, -0.079102, 1.833115, 0.160384, -0.033635, 0.681612, 1.838175, 3.4882, -1.116625, 1.272495, 1.853334, 2.645497, -1.987045, 1.813018, 1.647362, -1.603604, 0.078777, -1.17806, -0.756829, 0.470706, 0.019713, 1.467228, -2.734222, 0.037226, -1.495631, 0.010773, -1.43168, 0.04596, -0.455707, -1.335324, -0.60896, 0.058767, 0.582304, 0.403876, 0.326039, 0.250389, -1.770205, -0.842524, 0.099128, 0.189193, -0.48753, 2.023941, -0.622633, -0.737106, 0.891634, 0.555301, 4.705612, -0.636258, -2.352318, -1.158159, -0.409052, -0.499739, 0.037471, 0.005725, 0.096378, -1.971767, 0.136445, -0.832084, 0.205643, -0.340688, 2.121508, -0.049676, 0.452976, 1.364304, -1.75842, 1.027327, -2.157713, 3.562184, 1.286026, 2.176706, 0.95866, -1.123373, -0.558421, -0.075188, 3.592631, 0.597083, -0.714183, -0.276312, 0.35631, -1.731792, -0.464968, -0.853659, -2.205999, 1.022276, -0.725742, -0.620067, 2.585768, 1.005061, -1.297307, 2.062382, 1.254116, -1.114588, 1.473328, 1.48912, 1.371013, -0.10467, -1.38355, -1.327906, 0.184843, -1.47295, 2.207848, -2.591617, -3.192129, 3.5816, 3.919426, -0.973481, -0.841325, -1.783929, 2.030227, 0.833299, -0.169945, 2.677717, -2.024846, 1.417141, -0.174647, 0.658635, 1.562299, -0.471589, -1.709094, 1.640864, 0.977853, -1.498759, -4.808864, -0.583785, -1.483274, -0.831557, -1.367232, 0.310461, 0.422297, -2.131182, 0.290158, 0.087673, -3.580168, -0.333531, -1.106243, 1.040498, 0.735014, -1.571681, -1.271267, 3.684561, 0.195222, -1.810848, 0.6038, 0.072537, 1.422441, 2.022841], "notes": ["All input artifact JSONs hash to their URL ids; CG code/port, IB code, HA code and the seven kit files match their stated sha256. SETUP ran verbatim at 6b6921f8 (StarterStrategy validated).", "Started from CG `params` (frozen policy), not `restart`. Replica = kit sim.py with its port import switched to CG's (IA) port; W = [1]+multipliers+offsets+178 head weights; W[0]=0 gives T. Emitter reproduces CG.sol byte-for-byte from CG params.", "Speed was measured kit-style (run_many with a fresh fork pool) at 563-661 markets/s with 30 procs, which is between 200 and 2,000, so the search ran with 256 training markets per generation.", "The search gained essentially nothing. The monitor never beat CG by more than +0.0028 (se about 0.0055); the frozen point is generation 160's best proposal. ES-mean monitor values hovered around -0.01 to +0.002 versus CG, so CG looks like a local optimum at this sigma and market budget, not a still-rising curve.", "Holdout (8,192 replica markets, run once after freeze): candidate +0.0076 se 0.0026 over CG (paired); CG over T 1.95192 reproduces CG's own reported holdout vs_T 1.9519172921936434 exactly.", "Real engine on fresh seeds from 8108000: candidate minus CG +0.006 se 0.010 (n=512), which is not significant. Candidate minus IB +0.201 se 0.020 (n=1024); candidate minus HA +0.846 se 0.033 (n=512). CG and HA ran on the first 512 seeds as specified; candidate and IB on all 1,024.", "Gas: every arm had 0 OOG and 0 other failures. Candidate afterSwap peak 235,611 <= 245,000; afterInitialize peak 243,237.", "Real retail/arb split uses kit harness.decompose (arb reconstructed from constant k; retail = edge - arb); max arb-volume reconstruction error 1.2e-4.", "The IB, CG and HA real arms ran during search segments 1-2, so those segments used 24 replica processes; later segments used 31. Search minutes count only the search loop, excluding Numba warm-up and pool start.", "The ~+3.1 over HA needed for top 10 is not approached: the candidate is about +0.85 over HA on the real engine. No leaderboard placement is claimed.", "Gate B used 7232768..7233279, CG's real confirmation block, as the brief specifies: replica CG-T 1.920 vs real +2.00 (brief value)."]}