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","code_sha256":"5541b52418044eb4e7aa2e36ee3d92b75d9fd1b53a701fbd6f74210ea961559b","params":{"W1":[[0.185502,0.307302,-0.714634,2.527379,-2.476112,-0.153659,-1.154465,2.276022,-4.186974,-1.655426,-0.94035,-0.929847,0.89164,-1.559495,0.458419,0.06342,-0.895587,-0.120826,1.013586],[0.532914,0.912527,1.557994,3.142914,0.389878,0.722888,-0.419623,-0.050882,-0.308555,0.367403,-0.179041,-1.7349,0.087458,-0.439195,-0.02612,1.810713,0.132035,0.015945,0.615376],[1.797208,3.49369,-1.081553,1.281272,1.935408,2.615981,-1.95156,1.826082,1.60157,-1.563551,0.132582,-1.127188,-0.716587,0.359677,0.033649,1.478953,-2.567314,0.030694,-1.488033],[-0.029355,-1.489928,0.089462,-0.386285,-1.377832,-0.624167,0.121982,0.525218,0.312444,0.42589,0.240859,-1.71542,-0.816376,0.143038,0.146465,-0.462688,2.059363,-0.624846,-0.784292],[0.911116,0.61351,4.656878,-0.600526,-2.32132,-1.131078,-0.381986,-0.483583,0.044103,0.112093,0.053538,-2.201433,0.128817,-0.815874,0.205416,-0.294226,2.06466,-0.165283,0.36753],[1.431399,-1.814871,1.121535,-2.102519,3.661421,1.285283,2.182869,0.908681,-1.182118,-0.501003,-0.037879,3.669912,0.507206,-0.705892,-0.378255,0.461799,-1.688091,-0.45336,-0.864054],[-2.093373,1.127634,-0.698447,-0.620766,2.534584,1.036651,-1.252932,1.960547,1.116742,-1.109072,1.43859,1.451513,1.29412,-0.193151,-1.351894,-1.335421,0.16547,-1.507751,2.177239],[-2.5358,-3.126509,3.714379,3.928555,-0.913834,-0.733632,-1.829988,1.944115,0.880799,-0.267293,2.675772,-2.073062,1.407579,-0.181418,0.635139,1.496636,-0.457679,-1.677899,1.682135]],"b1":[0.944808,-1.429463,-4.675988,-0.563613,-1.48379,-0.914957,-1.456945,0.348504],"W2":[[0.368265,-2.126219,0.355159,0.014694,-3.58474,-0.311195,-1.005896,1.041873],[0.681649,-1.514864,-1.307568,3.614596,0.255738,-1.819531,0.602351,0.122477]],"b2":[1.403944,2.071323],"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],"note":"unchanged from CG; W2 row0=bid, row1=ask; output bps"},"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"},"weights":[0.185502,0.307302,-0.714634,2.527379,-2.476112,-0.153659,-1.154465,2.276022,-4.186974,-1.655426,-0.94035,-0.929847,0.89164,-1.559495,0.458419,0.06342,-0.895587,-0.120826,1.013586,0.532914,0.912527,1.557994,3.142914,0.389878,0.722888,-0.419623,-0.050882,-0.308555,0.367403,-0.179041,-1.7349,0.087458,-0.439195,-0.02612,1.810713,0.132035,0.015945,0.615376,1.797208,3.49369,-1.081553,1.281272,1.935408,2.615981,-1.95156,1.826082,1.60157,-1.563551,0.132582,-1.127188,-0.716587,0.359677,0.033649,1.478953,-2.567314,0.030694,-1.488033,-0.029355,-1.489928,0.089462,-0.386285,-1.377832,-0.624167,0.121982,0.525218,0.312444,0.42589,0.240859,-1.71542,-0.816376,0.143038,0.146465,-0.462688,2.059363,-0.624846,-0.784292,0.911116,0.61351,4.656878,-0.600526,-2.32132,-1.131078,-0.381986,-0.483583,0.044103,0.112093,0.053538,-2.201433,0.128817,-0.815874,0.205416,-0.294226,2.06466,-0.165283,0.36753,1.431399,-1.814871,1.121535,-2.102519,3.661421,1.285283,2.182869,0.908681,-1.182118,-0.501003,-0.037879,3.669912,0.507206,-0.705892,-0.378255,0.461799,-1.688091,-0.45336,-0.864054,-2.093373,1.127634,-0.698447,-0.620766,2.534584,1.036651,-1.252932,1.960547,1.116742,-1.109072,1.43859,1.451513,1.29412,-0.193151,-1.351894,-1.335421,0.16547,-1.507751,2.177239,-2.5358,-3.126509,3.714379,3.928555,-0.913834,-0.733632,-1.829988,1.944115,0.880799,-0.267293,2.675772,-2.073062,1.407579,-0.181418,0.635139,1.496636,-0.457679,-1.677899,1.682135,0.944808,-1.429463,-4.675988,-0.563613,-1.48379,-0.914957,-1.456945,0.348504,0.368265,-2.126219,0.355159,0.014694,-3.58474,-0.311195,-1.005896,1.041873,0.681649,-1.514864,-1.307568,3.614596,0.255738,-1.819531,0.602351,0.122477,1.403944,2.071323],"notes":["All four artifact JSON files and every decoded file hash were verified before use (KIT seven files, CG code/port, IB code, HA code; kit HA.sol is byte-identical to HA code).","Replica for CG = kit sim.py market loop with its port import switched to CG port (IA port, W vector of 217); T arm = kit sim.py with port.TH_T on the same seeds. Emitter reproduces CG.sol byte-for-byte from CG params before any change.","Speed measured first: 791 markets/s (512) and 1289 markets/s (1024) at 32 processes including pool start, so search with 512 markets/generation. The machine was shared with other jobs (load average ~190 on 32 cores), so actual search ran ~12 s/generation.","Search ran 45.5 minutes (244 generations, 7 segments). Monitor gains of ES mean and generation best over CG stayed within about +-0.005 (se ~0.005-0.006) throughout: CG, already trained 1039 generations, sits on a plateau for this replica and these settings. Frozen point = ES mean at generation 190 (+0.0049 monitor, not significant).","Replica holdout (once, after freeze): candidate over CG +0.0059 se 0.0030; CG over T on the same holdout = 1.95192, identical to CG artifact-reported holdout vs_T 1.9519172921936434, a consistency check of the replica setup.","Real engine, fresh seeds from 8096000 (never used before by this worker): candidate vs IB +0.195 se 0.020 (n=1024); vs CG +0.017 se 0.012 (n=512); vs HA +0.917 se 0.037 (n=512). The gain over CG is within noise; the candidate is effectively CG with tiny weight changes (max |dw| 0.125). Most of the gain vs IB/HA is CG's own.","Gas: every arm 0 OOG and 0 failed calls; candidate afterSwap peak 237,750 (<= 245,000), afterInitialize peak 243,237. T was not run on the real engine (not required by the brief).","Nothing here was submitted to the leaderboard; no ranking claim is made."]}