{"item":"q02","hashes":{"HA_artifact":"2801efc8190e86318dd922d4a7179f63684d77a226047fc2f3c78232963eb690","HA_code":"99e3a2eceae0e5543d27473859e10b005d0ce0aa7067f2e1a24d1e0e4a7390fe","KIT_artifact":"0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786","kit_files_verified":["sim d003c663","harness 24169a30","port 9aa80ce9","diff_test 32345aba","tests 2ff44560","HA 99e3a2ec","T ebd9de9b"],"CG_artifact":"ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979","CG_code":"e1ea8fcb105e00754d17061efbe4b299a634b0fcc1b5c293d65b631654b7204b","CA_artifact":"a9279075abf7398da55fe663698052b77902f1a0e7f81105c1589d474d39b246","CA_port":"b3cb9f073d7a6f1c651215c58f7e897b76bf88a75f72ef9b88dbb1d5cc54e209","CA_code":"e8a9459f6a3051467d9ed73360bab25c092127c4ab1db763e8618c28e83db800","checkout":"6b6921f8d463314aa7c96234e1be25a25245f704","wheel":"aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a","all_verified":true},"speed":{"first_isolated":{"n":512,"markets_per_second":335.2,"procs":8,"seeds":[6010000,6010511]},"under_shared_load":{"n":512,"markets_per_second":196.8},"note":"First measurement (335/s, >=200) decided the search. The host was shared (load average ~31 on 6 cores); during search the replica ran ~200/s."},"gates":{"A":{"passed":true,"what":"CA's port (constants runtime-adjustable) with CG's W and T's constants vs CG.sol (EVM)","sequences":50,"swap_callbacks":100000,"max_abs_fee_difference_bps":8.814065310946972e-05,"mean_abs_fee_difference_bps":3.0775332110108184e-06,"first_divergence":null,"seeds":[310000,310049]},"B":{"passed":true,"seeds":[7232768,7233279],"n":512,"replica_CG_minus_T":1.920372244773669,"se":0.04445924198500627,"reference_real":2.0,"abs_error":0.07962775522633092,"threshold":0.15,"joint_port_T_equals_kit_T_maxabs":0.0},"C":{"passed":true,"what":"frozen Candidate.sol vs frozen joint port","sequences":50,"swap_callbacks":100000,"max_abs_fee_difference_bps":0.0001035285348768844,"mean_abs_fee_difference_bps":3.1300515945916193e-06,"first_divergence":null,"seeds":[310000,310049]}},"monitor_CG_over_T":{"n":2048,"mean_diff":2.0024990491448156,"se":0.02404295970520187},"line":[{"t":0,"monitor_gain_over_CG":0.0,"se":0.0},{"t":0.25,"monitor_gain_over_CG":0.07221245343713872,"se":0.014986561954113839},{"t":0.5,"monitor_gain_over_CG":0.10808667214258333,"se":0.017127606969813487},{"t":0.75,"monitor_gain_over_CG":0.1092500124231579,"se":0.018745693042537957},{"t":1.0,"monitor_gain_over_CG":0.09481472649577691,"se":0.021482533648791546}],"search":{"minutes":47.91,"generations":90,"settings":{"algorithm":"CMA-ES (pycma 4.x)","start":"line t=0.75 (log constants = t*CA log multiplier), CG head","dimension":211,"head_weights":178,"constants":33,"weight_scale":"CG search_settings.CMA_stds (W1 0.16007, b1 0.18565, W2 0.12726, b2 0.11859) via CMA_stds","sigma0":0.06,"constant_step":0.03,"constant_coordinate":"log multiplier from T value","bounds":"CA's: decays, PHAT alphas and tail slopes capped at 1 (pycma bounds); other constants unbounded in log space","population":32,"markets_per_generation":256,"es_seed":632,"train_seeds":[1810000000,1810023039],"step_cap":"sigma*sqrt(max diag C) <= 0.06*0.5^(search_minutes/40) after every tell","monitor":[30000000,30002047],"monitor_every":10,"selection":"max monitor gain over CG among ES mean (pycma xfavorite) and generation best; CG eligible (0); line t=0.75 eligible","segments":"7 segments, each <8 min, pickle checkpoint"},"best":{"source":"gen_best@90","monitor_gain_over_CG":0.1426998261970491}},"curve":[{"generation":10,"minutes":5.96,"sigma":0.050605,"train_best":523.339419,"mean_gain":-0.883728,"mean_se":0.024419,"gen_best_gain":0.008561,"gen_best_se":0.020689},{"generation":20,"minutes":11.38,"sigma":0.047974,"train_best":533.402571,"mean_gain":-3.953987,"mean_se":0.032401,"gen_best_gain":0.011298,"gen_best_se":0.021598},{"generation":30,"minutes":16.86,"sigma":0.044709,"train_best":528.105984,"mean_gain":0.107703,"mean_se":0.02046,"gen_best_gain":0.096057,"gen_best_se":0.019847},{"generation":40,"minutes":21.25,"sigma":0.041402,"train_best":528.836506,"mean_gain":0.116246,"mean_se":0.020301,"gen_best_gain":0.052355,"gen_best_se":0.020548},{"generation":50,"minutes":26.71,"sigma":0.037669,"train_best":538.665078,"mean_gain":0.117857,"mean_se":0.020224,"gen_best_gain":0.11231,"gen_best_se":0.020407},{"generation":60,"minutes":31.94,"sigma":0.034382,"train_best":535.698238,"mean_gain":0.110405,"mean_se":0.02045,"gen_best_gain":0.066262,"gen_best_se":0.020997},{"generation":70,"minutes":37.21,"sigma":0.031368,"train_best":520.034629,"mean_gain":0.116132,"mean_se":0.020259,"gen_best_gain":0.063171,"gen_best_se":0.020383},{"generation":80,"minutes":42.7,"sigma":0.028511,"train_best":531.442166,"mean_gain":0.110651,"mean_se":0.020229,"gen_best_gain":0.11848,"gen_best_se":0.019994},{"generation":90,"minutes":47.66,"sigma":0.026136,"train_best":531.670802,"mean_gain":0.136805,"mean_se":0.020606,"gen_best_gain":0.1427,"gen_best_se":0.020013}],"holdout":{"n":8192,"seeds":[40000000,40008191],"over_T":2.0913076320242943,"over_T_se":0.013412281716889867,"over_CG":0.13939033983065108,"se":0.007658873574660913,"over_IB":0.32230763202429435,"CG_over_T":1.9519172921936434,"worst5_vs_CG":[[40002159,-4.326800466143254],[40005932,-3.5235251790659845],[40004075,-3.437696254212824],[40002339,-3.414780727767152],[40006169,-3.2201989749881363]],"retail_delta_vs_CG":-0.2658230145169628,"arb_delta_vs_CG":0.4052133543476136},"real":{"seeds":[8124000,8124511],"n_per_arm":512,"note":"512 not 1024: the real engine ran ~0.5-1 market/s per thread on the shared host; 1024 per arm did not fit the time left.","protocol":"each arm alone vs 30 bps VanillaStrategy, amm_sim_rs.run_batch(bytecode, VanillaStrategy, configs, 8), configs from MatchRunner._build_configs draw order (kit sim.market_config + build_config); chunks of <=64; each seed used once per arm","vs_CG":{"n":512,"mean_diff":0.16667435970529587,"se":0.033095055839521915,"sum":85.33727216911149,"sumsq":300.78454406396884,"worst5":[[8124279,-1.6558539744925156],[8124160,-1.2760863792119608],[8124432,-1.2559665730844358],[8124185,-1.2062117549288018],[8124283,-1.1985014526037503]],"retail_delta":-0.22590217341899066,"arb_delta":0.39257653312428714},"means":{"Candidate":524.2739735627111,"CG":524.1072992030058},"max_abs_arb_volume_reconstruction_error":9.672866144683212e-05},"gas":{"Candidate":{"afterSwap_peak":235549,"afterInitialize_peak":243237,"OOG":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},"CG":{"afterSwap_peak":235567,"afterInitialize_peak":243237,"OOG":0,"revert":0,"other_halt":0,"tx_error":0,"bad_return":0},"afterSwap_peak":235549,"afterInitialize_peak":243237,"OOG":0},"valid":true,"code_zb64":"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","code_sha256":"442b8d629bb0287b616c65ee33487872efbcfbbae63837744ff46e3afa526812","weights":[0.193213,0.381982,-0.62981,2.515308,-2.409765,-0.141508,-1.156921,2.30463,-4.168372,-1.661331,-0.959233,-0.959024,0.88535,-1.528188,0.419058,0.065079,-0.75264,-0.164328,1.060024,0.535095,0.884812,1.560564,3.172375,0.43377,0.677799,-0.430569,-0.04146,-0.311015,0.344342,-0.156679,-1.762182,0.142302,-0.486703,-0.020124,1.840235,0.144629,0.005422,0.656874,1.833903,3.450385,-1.088936,1.294706,1.831586,2.607801,-1.915244,1.846585,1.633162,-1.604625,0.125169,-1.116305,-0.758497,0.459808,0.062026,1.441633,-2.66514,-0.005428,-1.455825,-0.008572,-1.463888,0.058099,-0.357267,-1.26668,-0.579587,0.097572,0.58526,0.328436,0.355596,0.27831,-1.723363,-0.868584,0.115083,0.15687,-0.454115,2.038492,-0.66428,-0.707238,0.966681,0.578046,4.717692,-0.653557,-2.349263,-1.183108,-0.43821,-0.442018,0.020521,0.067289,0.060405,-2.068359,0.132498,-0.750737,0.244711,-0.265213,2.120311,-0.089757,0.421583,1.344552,-1.754783,1.075795,-2.15426,3.550981,1.261442,2.143553,0.877767,-1.162779,-0.473243,-0.016893,3.652981,0.566363,-0.659644,-0.291548,0.421206,-1.716271,-0.451585,-0.941716,-2.175747,1.085356,-0.727855,-0.618322,2.556146,0.973954,-1.275401,1.986032,1.152862,-1.110815,1.481092,1.469735,1.400572,-0.079602,-1.329538,-1.338163,0.177099,-1.50353,2.245068,-2.60316,-3.237647,3.666677,3.875713,-0.95644,-0.717192,-1.771108,1.998059,0.793064,-0.162915,2.656618,-2.066168,1.344337,-0.215453,0.672552,1.559041,-0.412733,-1.684366,1.629729,0.966914,-1.532393,-4.76632,-0.606278,-1.417945,-0.85218,-1.34661,0.312316,0.411611,-2.098946,0.293412,0.05132,-3.58094,-0.337574,-1.001256,1.057881,0.741174,-1.5485,-1.284018,3.614594,0.186197,-1.843523,0.614533,0.095813,1.376411,2.017987],"weights_layout":"W1 rows (8x19), b1 (8), W2 rows (2x8), b2 (2); prefix [1]+CG feature_multipliers+feature_offsets unchanged","constants":{"SIGNAL_THRESHOLD":{"value":0.001334509813954819,"T":0.001538461538461538,"CA":0.001386600831159654,"log_mult":-0.1422188722257162},"DIR_DECAY":{"value":0.7145684531363186,"T":0.75,"CA":0.7056833605074135,"log_mult":-0.04839440810035083},"ACT_DECAY":{"value":0.6604514894080176,"T":0.53,"CA":0.6776678006160287,"log_mult":0.22004666946238027},"SIZE_DECAY":{"value":0.4615338161091291,"T":0.53,"CA":0.5071233852581395,"log_mult":-0.13832168094505273},"TOX_DECAY":{"value":0.9566535477488003,"T":0.91,"CA":0.9284929484280295,"log_mult":0.04999670732607098},"SIGMA_DECAY":{"value":0.6853589906828905,"T":0.69,"CA":0.7003266502040828,"log_mult":-0.006748822618271082},"LAMBDA_DECAY":{"value":0.9929975969852464,"T":0.99,"CA":0.9955186113044672,"log_mult":0.003023300959174349},"SIZE_BLEND_DECAY":{"value":0.8234634226252131,"T":0.828,"CA":0.8572867152615148,"log_mult":-0.005494022724017612},"TOX_BLEND_DECAY":{"value":0.055482273521086284,"T":0.051,"CA":0.06166764560156666,"log_mult":0.0842379409938286},"ACT_BLEND_DECAY":{"value":0.9896009148562943,"T":0.985,"CA":0.9887231557639652,"log_mult":0.004660104376552596},"PHAT_ALPHA":{"value":0.25289523373735623,"T":0.27,"CA":0.25323361432837255,"log_mult":-0.06544665193201583},"PHAT_ALPHA_RETAIL":{"value":0.05052252920979858,"T":0.06,"CA":0.04587789303941362,"log_mult":-0.17192520245774184},"PHAT_ALPHA_SAME":{"value":0.11757272001486525,"T":0.12,"CA":0.11651458115432142,"log_mult":-0.02043470689004951},"GATE_SIGMA_MULT":{"value":5.766776015429069,"T":7.2,"CA":5.8533522920776075,"log_mult":-0.22196785115303325},"MIN_GATE":{"value":0.028081761863470847,"T":0.03,"CA":0.0230515200964478,"log_mult":-0.06607706004729416},"TRADE_TOX_BOOST":{"value":0.33356269899383045,"T":0.35,"CA":0.3299165698173456,"log_mult":-0.048102303818125094},"STALE_ATTRACT_FRAC":{"value":0.9997249445794874,"T":1.05,"CA":1.015292168061998,"log_mult":-0.04906525742462478},"BASE_FEE":{"value":0.0003970263460758803,"T":0.0004,"CA":0.00036716378142068,"log_mult":-0.007461905711175033},"SIGMA_COEF":{"value":0.17779333048388013,"T":0.2,"CA":0.16756472465067151,"log_mult":-0.1176955555110573},"LAMBDA_COEF":{"value":0.00115337468128776,"T":0.0012,"CA":0.00114941673010786,"log_mult":-0.039629406207519396},"FLOW_SIZE_COEF":{"value":0.5875335217414592,"T":0.4842,"CA":0.6616432731552307,"log_mult":0.19343525816992885},"TOX_COEF":{"value":0.03687954363501725,"T":0.03,"CA":0.03750174990690164,"log_mult":0.20645964262801714},"TOX_QUAD_COEF":{"value":1.5229927421053875,"T":1.5,"CA":1.4433421342886186,"log_mult":0.015212200268480705},"ACT_COEF":{"value":10.5311130209269,"T":9.1843,"CA":9.117984480349524,"log_mult":0.13683851600416033},"DIR_COEF":{"value":0.002662234123378007,"T":0.002,"CA":0.002614832967025314,"log_mult":0.28601848572515104},"DIR_TOX_COEF":{"value":0.010643546520034033,"T":0.01,"CA":0.011458913823147811,"log_mult":0.062368654932902556},"STALE_DIR_COEF":{"value":0.6747005680869059,"T":0.685,"CA":0.6812809868770082,"log_mult":-0.015149848644753843},"SIGMA_TOX_COEF":{"value":0.062332354270975,"T":0.05,"CA":0.06288551586626327,"log_mult":0.22045761575222247},"TAIL_KNEE":{"value":0.05310717196592717,"T":0.06,"CA":0.06068322980890787,"log_mult":-0.12203257782300186},"TAIL_SLOPE_PROTECT":{"value":0.7014703046135707,"T":0.93,"CA":0.6844570275108228,"log_mult":-0.2820060187715269},"TAIL_SLOPE_ATTRACT":{"value":0.7470454511169488,"T":0.85,"CA":0.6814955536710317,"log_mult":-0.12911032133377887},"ANCHOR_LINEAR_K":{"value":0.6360201206438821,"T":0.7126960148076508,"CA":0.669627321299907,"log_mult":-0.11382478373714058},"ANCHOR_QUADRATIC_K":{"value":1.4225535501880404,"T":1.2952407538263107,"CA":1.4118102876456557,"log_mult":0.09375694327027989}},"notes":["CA's port hard-codes its constants as a numba global (and the two anchor K values inline); for search the same code reads TH and anchor K from the parameter vector (jport). With T's constants it reproduces kit T exactly (max abs edge diff 0.0 over 16 markets) and matches CG.sol (gate A).","Solidity: CG.sol with the 31 named uint256 constants replaced by round(value*1e18), the two _anchorBlend K literals replaced, and _head re-emitted with weights at 1e-6; the same emitter reproduces CA.sol's constant block byte for byte.","In the first 20 generations the monitored 'ES mean' was pycma's genotype mean, which sat past the LAMBDA_DECAY cap (scored -0.88 and -3.95 vs CG); from generation 30 the phenotype mean (xfavorite) was monitored. Those two rows are kept in the curve as measured; neither could be selected.","Real arb/retail split uses the kit reconstruction with the initial fee set to each arm's BASE_FEE; total edge comes from the engine.","Real gain +0.167 (se 0.033) over CG agrees with holdout +0.139 (se 0.008) and monitor +0.143. Against the brief's figure of CG at +2.00 over T, this is about +2.14..2.17 over T. Compared with HA (+1.257 over T), that is about +0.9; the top 10 needs about +3.1 over HA, so this does not reach it.","Monitor seeds 30000000..30002047 and holdout 40000000..40008191 are fixed replica blocks shared with earlier items; the holdout ran once after freezing."]}