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","code_sha256":"83aeacadaad2fc01a188ab2d0fcf0749664e03d6ed624433f08bbee2b98948d3","port_zb64":"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","port_sha256":"b29cd2a078b4c3fc57945a79e927624dd346c44d8cc149dae43f4929aa6d736b","params":{"architecture":"19-8-2, ReLU clipped [0,4], inputs clipped [-4,4], output in bps added to T-path fees then clamped [0,MAX_FEE]; weights rounded to 1e-6, Solidity signed 1e6 fixed point","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],"W1":[[-0.130242,0.144266,-1.459432,2.534104,-1.819766,0.420061,-1.915855,1.389687,-3.125954,-0.943165,-0.93192,0.289202,1.543647,-0.158307,0.29884,0.243671,-1.649061,-0.172318,0.842645],[0.649092,1.314726,1.86732,3.562919,1.025811,0.791929,-0.112181,0.525144,-0.720688,0.503319,-0.290215,-1.493469,0.019374,-0.627718,-0.100671,1.477471,0.880376,0.030146,0.683093],[2.087739,3.542091,-0.291101,1.522574,2.169638,3.724961,-1.152391,2.059988,1.574237,-1.72738,-0.081533,-2.038018,-0.375808,0.91623,-0.315366,0.174545,-2.460303,0.069223,-3.719365],[-0.324391,-0.64627,-0.532137,-0.152144,-1.047363,0.548785,0.636931,0.987579,0.453494,0.355591,0.439268,-1.469671,-1.661829,0.414977,-0.114979,-0.028511,2.832935,-0.579707,-0.720529],[0.812588,0.267746,3.602058,-0.407276,-1.821644,-1.095429,0.078325,-0.307037,-0.330397,0.323761,0.037757,-2.861256,0.392817,-0.840934,0.103258,-0.643043,2.113075,-0.115699,0.091581],[1.201437,-0.643191,1.549007,-2.12198,3.605893,0.711522,1.466574,0.946134,-0.9819,-0.354991,-0.090431,2.777248,0.955981,-0.03834,-0.292792,0.8099,-2.392865,-0.499105,0.338313],[-2.505014,1.680978,-0.076582,-1.934271,2.646161,1.744405,-0.672459,1.298274,1.050731,-0.806844,0.295248,2.164624,1.283448,0.516165,0.260559,-0.753359,0.093156,-0.030737,1.780475],[-2.513508,-3.072977,2.944308,3.918824,-0.42497,-2.066794,-1.527865,1.958649,1.649642,-1.072399,2.797265,-2.241484,1.009075,0.994855,0.699184,2.668104,0.556091,-1.022579,0.061226]],"b1":[1.096404,-1.763952,-4.316126,-0.865939,-1.337476,-1.151059,-2.140191,0.685409],"W2":[[0.344498,-2.093367,0.044503,-0.854998,-3.300912,-0.112943,-1.27176,1.214142],[0.700412,-1.497231,-1.267657,3.667872,0.495322,-1.375806,-0.385211,0.338897]],"b2":[1.6546,1.61673],"toxicity_anchor":{"count_cap":674,"linear_k_wad":712696014807650816,"quadratic_k_wad":1295240753826310656},"new_input_scaling":{"rule":"multiplier=1/sd, offset=-mean/sd (rounded 1e-6), measured on unchanged HA (new weights 0) over all callbacks of 256 replica training markets","n_callbacks":2713139,"markets":256,"seed_rule":"numpy.default_rng(20260205).integers(440000000,450000000,256)","mean":[0.0009555496232290559,1.4601024864557253,0.0036400373239948735,0.0035442536780931474,1.9968048080102052,-6.4602212889852405e-06],"sd":[0.0015454641142121854,0.7166984512114215,0.0045327235508511735,0.00438311721800645,2.4238622572469994,0.0036451723248762686],"mult":[647.054817,1.395287,220.617911,228.148131,0.412565,274.335453],"off":[-0.618293,-2.037262,-0.803057,-0.808615,-0.823811,0.001772]}},"restart":{"params":"Use params, not the ES state; W = [1] + feature_multipliers + feature_offsets + flatten(W1,b1,W2,b2).","source":"START port retained byte-for-byte; only Solidity head weight constants replaced."},"seeds":{"gate_A":[310000,310049],"gate_B":[7236864,7237375],"replica_holdout":[41010000,41018191],"real":[8033792,8034303]},"notes":["The original IA port is embedded; reconstruct its 217-entry W argument from params: 1, feature_multipliers, feature_offsets, then flattened W1, b1, W2, b2.","Replica market/RNG functions are byte-for-byte from replica_source after its strategy block; START uses its embedded port. IB holdout uses its own port with TH[HEAD0:HEAD0+178] populated from its own params.","Real engine runs each arm alone against VanillaStrategy with run_batch(...,8), disjoint 32-seed chunks. Gas output is recorded separately for every arm and chunk locally, then summed by role/callback with maximum gas preserved in the delivered report.","Search uses normalized coordinates (weights divided by group RMS); no ES-state vector is used as initial weights. Sigma is capped before each generation at .02 * .5**(elapsed_search_minutes/60).","Search monitor selects between ES mean and generation best every ten generations. Holdout and real blocks are evaluated once after freezing to 1e-6.","All reported measurements are local observations, not claims of independent certification."],"replica_validation":{"frozen_vs_start":{"n":8192,"mean_diff":0.036549369593686896,"se":0.0038722836144134305},"frozen_vs_IB":{"n":8192,"mean_diff":0.12480273724887396,"se":0.0081692371628103},"seeds":[41010000,41018191],"seconds":150.69488182803616},"status":"completed"}