{"item":"k08","batch":"r5-cg-continue","blocked":null,"status":"completed: CMA-ES ran 40 generations in 40.7 min. The best monitor point (gen 10 ES mean, +0.0011 se 0.0030 over CG) was frozen. It does not differ from CG: holdout +0.0021 se 0.0016; real -0.042 se 0.049 vs CG on 512 fresh seeds. Valid: 0 OOG, afterSwap peak 237632","hashes":{"kit_json":"0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786","CG_json":"ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979","IB_json":"afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557","HA_json":"2801efc8190e86318dd922d4a7179f63684d77a226047fc2f3c78232963eb690","all_json_sha256_equal_url_id":true,"HA_code":"99e3a2eceae0e5543d27473859e10b005d0ce0aa7067f2e1a24d1e0e4a7390fe","CG_code":"e1ea8fcb105e00754d17061efbe4b299a634b0fcc1b5c293d65b631654b7204b","CG_port":"b29cd2a078b4c3fc57945a79e927624dd346c44d8cc149dae43f4929aa6d736b","IB_code":"301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686","kit_files_verified":["sim.py","port.py","harness.py","diff_test.py","test_kit.py","HA.sol","T.sol"],"kit_harness":"24169a30bddafe5f82fa6873adcd7d6c15892f883d1af25eebaa9b5f623606bc","T_code":"ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3","wheel":"aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a","checkout":"6b6921f8d463314aa7c96234e1be25a25245f704","candidate_code":"0fd2ca4331c5aded340c06ba3a499e8c29fa477cbb24f102320b98cf45152677"},"speed":{"replica_markets_per_second":304.89692291964883,"procs":4,"n":512,"seeds":[6010000,6010511],"machine_cores":4,"with_8_procs":300.51929942204777,"training_seconds_per_generation_observed":57,"real_engine_seconds_per_64_markets_observed":[43,51]},"gates":{"A":{"passed":true,"sequences":50,"swap_callbacks":100000,"max_fee_diff_bps":8.814065310946972e-05,"share_above_0_01_bps":0.0,"seeds":[310000,310049],"note":"CG port with W=[1]+multipliers+offsets+178 head weights (217) against CG.sol; the emitter reproduces CG.sol byte-for-byte from CG params"},"B":{"passed":true,"n":512,"seeds":[7232768,7233279],"replica_CG_minus_T":1.920372244773669,"se":0.04445924198500627,"target_real":2.0,"error":-0.07962775522633092,"tolerance":0.15,"retail_delta":4.78667942995755,"arb_delta":-2.866307185183879},"C":{"passed":true,"sequences":50,"swap_callbacks":100000,"max_fee_diff_bps":4.658967827037095e-05,"seeds":[310000,310049]}},"search":{"minutes":40.74077435731888,"generations":40,"final_sigma":0.015125683027316312,"settings":{"algorithm":"cma.CMAEvolutionStrategy (cma 4.5.0) over the 178 head weights (W1 rows, b1, W2 rows, b2), starting at CG params","CMA_stds":{"W1":0.16007274507182634,"b1":0.18564858000307327,"W2":0.12726224434596164,"b2":0.1185932470281719},"popsize":16,"sigma0":0.03,"sigma_cap":"sigma=min(sigma,0.03*0.5**(minutes/40)) applied before ask and after tell","es_seed":608,"markets_per_generation":1024,"same_markets_for_all_proposals":true,"training_seeds":[1570000000,1570040959],"fitness":"mean replica edge (weights rounded 1e-6)","monitor_seeds":[30000000,30002047],"monitor_rule":"every 10 generations: ES mean and generation-best proposal, paired gain over CG on monitor; freeze max (CG if none beats it)","processes":4},"frozen":{"generation":10,"kind":"mean","monitor_gain_over_CG":0.0011332341567220905,"is_CG":false}},"curve":[{"generation":10,"minutes":11.062,"monitor_gain_over_CG_es_mean":0.0011332341567220905,"se_mean":0.002973081754550226,"monitor_gain_over_CG_gen_best":-0.003646298717762869,"se_gen_best":0.00335739523983197},{"generation":20,"minutes":20.974,"monitor_gain_over_CG_es_mean":-0.0013307243515205402,"se_mean":0.0036324672978696295,"monitor_gain_over_CG_gen_best":-0.0030511071013607227,"se_gen_best":0.003744001643652427},{"generation":30,"minutes":30.922,"monitor_gain_over_CG_es_mean":-0.004559825555843056,"se_mean":0.003338006897188811,"monitor_gain_over_CG_gen_best":-0.0055449225868875185,"se_gen_best":0.0034512371460610246},{"generation":40,"minutes":40.741,"monitor_gain_over_CG_es_mean":-0.003120308429705204,"se_mean":0.003516731351858223,"monitor_gain_over_CG_gen_best":-4.201904432457604e-05,"se_gen_best":0.00374011189035556}],"holdout":{"n":8192,"seeds":[40000000,40008191],"over_T":1.9540183865478042,"over_T_se":0.011944528846404557,"over_CG":0.0021010943541608512,"se":0.0016340299194396177,"over_IB":0.18501838654780434,"over_IB_rule":"over_T - 1.7690","CG_over_T":1.9519172921936434,"CG_over_T_se":0.011938004553452971,"note":"CG over T here is 1.9519172921936434, the same value as the holdout vs_T in the CG artifact"},"real":{"seeds":{"start":8028000,"end":8028511,"n_per_arm":512},"protocol":"each arm alone against the 30 bps VanillaStrategy via amm_sim_rs.run_batch(code,Vanilla,configs,8) in chunks of 64; configs built with amm_competition build_config and MatchRunner._build_configs draw order (kit sim.market_config); edge from Rust, arb by the kit harness decompose (retail = edge - arb)","shortfall":"The brief asked for 1,024 seeds for the candidate and IB. Both got 512 (8028000..8028511) because the real engine runs about 1.4 markets/s here. A candidate chunk at 8028512..8028575 was killed by the command timeout before it finished; it was not recorded or used. No seed was 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","code_sha256":"0fd2ca4331c5aded340c06ba3a499e8c29fa477cbb24f102320b98cf45152677","contract_note":"CG.sol with only the _head function constants replaced (generated by the same emitter that reproduces CG.sol exactly)","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 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from CG; only the 178 head weights were searched"}},"weights":[0.17838,0.389529,-0.679085,2.54743,-2.393285,-0.156335,-1.153999,2.279933,-4.202427,-1.629129,-0.929982,-0.910324,0.880824,-1.526964,0.424515,0.047354,-0.777369,-0.155893,1.085597,0.560656,0.91822,1.556208,3.171941,0.435683,0.692346,-0.441131,-0.040687,-0.280682,0.348383,-0.169101,-1.787556,0.129911,-0.460675,-0.007974,1.817986,0.169468,0.013971,0.654344,1.840198,3.470638,-1.082954,1.290509,1.848848,2.642981,-1.910406,1.839561,1.659104,-1.579474,0.075986,-1.123302,-0.734999,0.400117,0.063986,1.451525,-2.659992,0.012173,-1.464723,-0.001172,-1.451311,0.0539,-0.393029,-1.287842,-0.572792,0.129397,0.564272,0.323758,0.398267,0.282811,-1.733122,-0.839159,0.142232,0.148901,-0.458471,2.055132,-0.668153,-0.720422,0.939679,0.533684,4.693009,-0.659268,-2.346136,-1.144561,-0.418239,-0.449585,0.023038,0.039079,0.064823,-2.081984,0.109585,-0.769297,0.240265,-0.292317,2.119082,-0.079558,0.426128,1.388617,-1.782577,1.082508,-2.169375,3.529972,1.246572,2.168523,0.898084,-1.17615,-0.493528,-0.068012,3.652005,0.538587,-0.690564,-0.290271,0.437767,-1.704002,-0.444828,-0.943703,-2.1675,1.078056,-0.687742,-0.588092,2.555449,1.016737,-1.265922,1.968019,1.202167,-1.117235,1.456749,1.453015,1.374816,-0.100812,-1.334886,-1.345843,0.174707,-1.472532,2.243506,-2.590735,-3.228587,3.637682,3.87542,-0.961987,-0.727218,-1.768687,1.970806,0.807793,-0.159123,2.669948,-2.033346,1.352046,-0.223161,0.642435,1.565548,-0.405571,-1.686977,1.628429,0.959671,-1.546426,-4.751188,-0.587049,-1.476342,-0.8466,-1.377533,0.330081,0.40617,-2.106209,0.301014,0.045765,-3.609575,-0.329363,-1.014803,1.042994,0.717771,-1.534772,-1.258331,3.579915,0.196568,-1.826527,0.625478,0.103316,1.384331,2.042834],"notes":["The search gave no improvement that can be told apart from noise. Monitor gains over CG were within about \u00b10.006 (se about 0.003-0.004) at generations 10-40. The freeze rule picked gen 10 (ES mean, +0.0011), which is within 1e-6-rounded noise of CG.","With sigma0=0.03 times CMA_stds (about 0.12-0.19), the per-weight step is about 0.005. At 1,024 markets per generation the spread of proposal fitness within a generation (about 0.01) is near the noise. So 40 generations only moved CG slightly. Larger sigma or more markets per generation may help, but the brief fixed both.","Real: candidate minus CG is -0.042 se 0.049 on 512 seeds. Almost all of that is seed 8028511, where the candidate scores -24.7 against CG (and about -24 to -26 against IB and HA). Without that seed the gap is about +0.006. Such a single-market outlier from a tiny weight change shows the path sensitivity of the real engine. It is not a gas or validity problem.","Candidate vs IB on real seeds: +0.115 se 0.058 (n=512). Replica holdout over_IB (over_T - 1.7690) is +0.185.","Replica speed was measured with 4 processes (the machine has 4 cores; 8 gave the same speed). Training batched all 16 proposals x 1024 markets into one pool call.","HA (real, 512 seeds): CG +0.844 se 0.034 over HA, IB +0.686 se 0.033 over HA."]}