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","code_sha256":"301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686","params":{"W1":[[0.654471,1.616192,-0.786055,3.194473,-2.819834,-0.745799,-1.103005,1.399501,-5.182228,-0.047389,1.840275,-0.34166,0.284462,1.50209,0.230267,-1.204179,0.368945,0.128606,0.322065],[0.495108,1.032922,2.545247,3.022238,0.545921,-0.792076,-0.166156,-0.320584,-0.072802,-0.091527,-0.179354,-0.810304,0.246024,-1.439807,-1.006687,1.317468,0.396225,-0.701713,0.16103],[1.377378,2.844135,0.235131,0.370319,1.065977,1.72645,-1.681601,1.351727,0.715107,-0.937554,0.132692,-3.065224,-0.788429,-0.134986,0.410067,0.637203,-0.584876,-0.838255,-1.118148],[-1.161171,-0.862658,1.44659,-0.347316,-0.560987,1.149734,-1.058577,1.737799,-1.817471,-0.164429,0.328763,-2.122942,-1.647649,-0.104171,0.263169,0.741364,1.831593,0.522629,1.904871],[0.237232,0.675657,2.640259,-0.350353,-2.032207,-0.032464,1.338695,1.061689,-0.090965,0.146196,-0.008601,-2.061813,-0.184058,-0.661903,0.236134,-1.212566,2.5002,-0.715383,-0.162412],[2.414711,-1.219338,1.842294,-0.892567,1.765955,1.503509,0.285132,0.106068,-0.567663,0.363173,-0.175631,3.233143,1.05256,-0.508115,-1.263047,0.58407,0.26797,1.221104,0.152133],[-1.281479,1.354851,0.300801,-2.954143,1.498673,-0.077106,-0.380866,0.016136,0.790167,-0.059733,0.808665,0.275944,-0.94974,0.476579,0.11158,0.203081,0.124231,0.71829,-0.351035],[-2.208804,-1.676579,2.67743,3.026558,-0.39123,-2.586319,-1.282493,2.97081,1.117537,-1.54951,2.703842,-2.273928,0.249918,0.459059,-0.267546,2.343903,0.728739,0.066072,-0.739607]],"b1":[1.843756,-1.958675,-3.109189,-1.951308,-0.923113,-1.635223,-2.724683,-0.957449],"W2":[[0.322713,-1.673628,0.284764,-0.267997,-2.892365,-0.4659,-2.275743,0.886153],[0.343761,-1.317095,-1.335244,0.413609,1.860307,-1.208948,0.636254,0.391827]],"b2":[1.652891,1.962816],"hidden_units":8,"input_count":19,"layout":"flat vector = W1 (8x19 row-major), b1(8), W2 (2x8 row-major: bid row then ask row), b2(2)","weight_fixed_point_scale":1000000,"feature_fixed_point_scale":1000000,"output_unit_fee":0.0001,"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_amountY","step_trade_count","prev_bid_fee","prev_ask_fee","steps_since_arb_like_print","router_implied_vanilla_spot"],"feature_multipliers":[1000,2,500,500,500,1,500,500,2,2,1000000,1,500,0.05,0.5,333.333333,333.333333,0.125,500],"feature_offsets":[-1,-1,-1,-1,-1,-1,0,0,-1,-1,-1,0,-1,-1,-0.5,-1,-1,-1,0],"feature_clip":[-4,4],"hidden_relu_clip":[0,4],"toxicity_anchor":{"count_cap":674,"linear_k_wad":712696014807650816,"quadratic_k_wad":1295240753826310656}},"notes":["All input sha256 values verified: HA code 99e3a2ec..., T code ebd9de9b..., replica_source 1e4c44b4..., RS2 port_source 9eac3553..., IB code 30194182... and IB port f63227c5... (port_sha256). IB port used as shipped; nothing rebuilt from source. T = IB port with head weights 0; HA = IB port with HA weights, new columns 0.","Search result: no improvement. Over 60.1 minutes and 224 generations, the CMA mean never scored above IB on the monitor seeds. It fell from 1.810 (IB) to about 1.665 by minute 5, when sigma was capped near 0.06-0.08, then rose back to 1.781 at minute 60 as the cap tightened. The best scored point is IB itself, so the frozen candidate is IB with the same weights and byte-identical code (sha256 301941829a44...). vs_IB is therefore 0 by construction; it was still measured on separate real runs, which are deterministic.","The curve was still rising at the time limit (1.764 at 50 min, 1.770 at 55, 1.781 at 60). With sigma0 = 0.08 x block rms, the early steps were much larger than IB final ES sigma (0.022 x 0.1 x rms), and the search lost its first ~30 minutes recovering. A restart from IB es_mean with sigma near 0.02 would probably be a better use of a next item.","Real-engine retail/arb split: LightweightSimResult exposes edges, pnl, retail_volume_y and arb_volume_y but no retail/arb edge split. Real retail_delta and arb_delta are therefore volume (Y) deltas; the replica retail/arb edge deltas are in holdout.","Holdout on the replica reproduces IB own reported replica_validation exactly (over_T 1.76898, over_HA 0.65215), which checks this setup end to end.","One real-engine probe ran T on 8 seeds 7000000..7000007 to time the engine and inspect output; those seeds were not used for any result. Seeds 7556000..7556511 were used once per arm.","Candidate (= IB) over HA on real is far below the ~+3.1 over HA the goal says the top 10 needs. No leaderboard placement is claimed.","Machine: 6 cores, so the replica ran 362-479 markets/s on 512 markets (two measurements), versus the 4182/s reported by IB on 22 processes."]}