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","code_sha256":"25af4c17387fa415164b0b09f53b6d7407ab5f514e059fce981d8f6ed13ede78","port_zb64":"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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","lambdaHat * sizeHat (T flow_size)"],"feature_multipliers":[1000.0,2.0,500.0,500.0,500.0,1.0,500.0,500.0,2.0,2.0,1000000.0,1.0,500.0,647.054817,1.395287,220.617911,228.148131,0.412565,274.335453,4251.715007],"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,-3.483235],"W1":[[-0.075896,-0.159175,-1.275998,2.745266,-1.875175,0.559677,-1.706833,1.405171,-3.299073,-1.388681,-0.892156,0.158223,1.470182,-0.118723,0.337798,0.420707,-1.344175,-0.168133,0.888948,0.017039],[0.52199,1.55023,2.048335,3.752049,1.152514,0.850386,-0.156696,0.253162,-0.606684,0.34151,-0.135764,-1.601285,0.094355,-0.843914,-0.117198,1.509596,0.775386,0.024974,0.700238,0.187578],[2.167072,3.673728,-0.419459,1.552029,2.233787,3.407782,-1.408078,1.856093,1.695142,-2.04465,-0.142802,-2.017415,-0.231754,0.984185,-0.619689,0.315138,-2.692074,-0.166323,-3.357279,-0.077688],[-0.311859,-0.629775,-0.620629,-0.219941,-0.934045,0.523378,0.501279,1.312305,0.653609,0.402026,0.562327,-1.568377,-1.721085,0.270793,-0.037239,-0.019886,2.89283,-0.758857,-0.59703,0.074319],[0.870687,0.140115,3.58488,-0.453815,-1.908714,-1.168387,-0.005812,-0.466163,-0.149523,0.156322,0.102341,-2.963446,0.192712,-0.887021,0.067765,-0.620384,2.126326,-0.203063,0.249838,-0.094027],[1.288353,-0.794773,1.7016,-2.179075,3.144851,0.896336,1.612108,1.270938,-1.040811,-0.419062,-0.181896,2.940055,0.740013,0.047762,-0.331595,0.791349,-2.327447,-0.684701,0.356365,0.113699],[-2.90173,1.941683,-0.258637,-1.690471,2.744226,1.752298,-0.626825,1.526441,1.006474,-0.685736,0.45923,2.128021,1.365199,0.314447,0.646191,-1.033021,0.186353,-0.167674,1.81288,0.038302],[-2.886489,-3.008903,3.061177,3.990358,-0.468189,-2.124994,-1.993964,1.825802,1.636686,-0.903763,2.906342,-2.056302,0.963674,1.051177,0.774873,2.694489,0.390247,-1.214901,0.517936,0.2277]],"b1":[1.191038,-1.892058,-4.483607,-1.355018,-1.284545,-1.404112,-2.207808,1.009054],"W2":[[0.360428,-2.248249,0.050527,-0.83192,-3.165614,-0.101508,-0.926191,1.26777],[0.657781,-1.557644,-1.210509,3.666545,0.489109,-1.165591,-0.437472,0.044845]],"b2":[1.701373,1.345854],"toxicity_anchor":{"count_cap":674,"linear_k_wad":1742421195904338944,"quadratic_k_wad":1124254057290086144},"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],"flow_size":{"n_callbacks":2752569,"mean":0.000819254198037656,"sd":0.00023519920744047735,"multiplier":4251.715007,"offset":-3.483235,"seeds":[1011999000,1011999255],"rule":"multiplier=1/sd, offset=-mean/sd, rounded 1e-6; unchanged START, 256 replica markets, all callbacks"}},"LAMBDA_COEF_WAD":1510293232652439,"FLOW_SIZE_COEF_WAD":240736248124859936,"constants_real_units":{"LAMBDA_COEF":0.001510293232652439,"FLOW_SIZE_COEF":0.24073624812485994,"anchor_linear_k":1.742421195904339,"anchor_quadratic_k":1.124254057290086},"z_from_START":[0.22998226898926352,-0.6987961164338864,0.8939759340705565,-0.14157683261474366]},"restart":{"W_layout":"[1, 20 multipliers, 20 offsets, W1 row-major (160), b1 (8), W2 row-major (16), b2 (2), LAMBDA_COEF, FLOW_SIZE_COEF, anchor_linear_k, anchor_quadratic_k]; length 231","reconstruct":"np.r_[1, params.feature_multipliers, params.feature_offsets, np.ravel(params.W1), params.b1, np.ravel(params.W2), params.b2, params.constants_real_units.LAMBDA_COEF, params.constants_real_units.FLOW_SIZE_COEF, params.constants_real_units.anchor_linear_k, params.constants_real_units.anchor_quadratic_k]","embedded":"Decoded port defines FROZEN, identical to reconstructed W; strat_init(S,W,x,y), strat_after(S,W,is_buy,amount_x,amount_y,timestamp,reserve_x,reserve_y); zero float64[40] state per market","constant_quantization":"Each constant is round(real_value*1e18), emitted literally into Solidity; frozen port stores that integer divided by 1e18."},"seeds":{"gate_A_callback_sequences":[310000,310049],"gate_B":[7236864,7237375],"scaling":[1011999000,1011999255],"speed_trials":[[1022000000,1022002047],[1022002048,1022004095]],"monitor":[30000000,30002047],"holdout":[41010000,41018191],"real":[8037888,8038399],"variant_gas":[8038400,8038415],"search":[1008000000,1008101887]},"notes":["START keys retained with current measurements replacing inherited measurements. Parent artifact ids identify externally sourced code; all new statistics were measured locally.","The twentieth input is T flow_size after the retail-rate/size blend, before clipping and the head. Its eight weights were initially zero. Scaling uses all callbacks of unchanged START on 256 specified replica markets.","Four z coordinates multiply START LAMBDA_COEF, FLOW_SIZE_COEF, anchor linear k and quadratic k by exp(z), initially z=0. Anchor count cap remains START's 674.","A and identity use 50 sequences x 2000 swaps, plus initialization; Solidity identity is exact and port identity tolerance is 1e-14. C checks the frozen Solidity against its frozen port.","Replica uses supplied scalar market model and MatchRunner parameter draw order/ranges. Its RNG paths differ from Rust. Monitor is used for selection; holdout is evaluated once after freezing.","Search is saved every generation and resumed in segments under eight minutes. The serialized pycma object preserves its bound RandomState exactly. Speed was measured on the same six-worker persistent pool that evaluated proposals.","Real engine ran each arm alone against Vanilla, run_batch(..., 8), eight disjoint 64-seed chunks, once per arm/seed. Retail and arb edge decomposition checks reconstructed arb volume against the engine.","by_quartile uses stable ranking of IB retail volume, q1 quietest. All differences are paired by seed; se uses sample standard deviation divided by sqrt(n).","valid means the required parity, speed, OOG and gas gates passed; it is not a claim of a statistically significant real improvement.","search.curve contains the baseline, each scheduled monitor check, and the final generation; the full local generation trace was omitted to meet the 64000-byte limit."],"replica_validation":{"frozen_vs_start":{"n":8192,"mean_diff":0.10356931576798202,"se":0.007867448702022597},"seeds":[41010000,41018191],"frozen_mean_edge":530.3670496545096,"start_mean_edge":530.2634803387416,"seconds":24.255984660005197},"reproduction_sources_zb64":"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","reproduction_sources_sha256":"29217b573b2d0ee15b0be9d9c2d9f28cc74396096cf3aeaada199c90fbb3dee2"}