{"item":"k22","batch":"r5-cg-continue","hashes":{"kit_json":"0d8194e9f6e0017dc4e515cdb04c048efc292935bb1d18e3336091fe81154786","kit_sim":"d003c663b94968b58aaefb65fef8e910638ee1664e19f96c809b45e499910638","kit_harness":"24169a30bddafe5f82fa6873adcd7d6c15892f883d1af25eebaa9b5f623606bc","kit_port":"9aa80ce98b31cb18b14192a87a9b6d133e4c9c2d7adc4a51a5f170be95d92fef","kit_diff_test":"32345abab9b1ea77ebe084b02e1c4b7bb692b5202af7c62572e36f96d3e2cb5b","kit_T_code":"ebd9de9bf6af6e55d5e308fd15dbb88edec11fd684891d02a30aec185acd19b3","CG_json":"ebbd90c663c396598965b23341aea97a4501b4c971db183a8fe94a880f399979","CG_code":"e1ea8fcb105e00754d17061efbe4b299a634b0fcc1b5c293d65b631654b7204b","CG_port":"b29cd2a078b4c3fc57945a79e927624dd346c44d8cc149dae43f4929aa6d736b","IB_json":"afd5183e9ff3235334e041c00b0cd19079599a2c6464db95f8c1586712105557","IB_code":"301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686","HA_json":"2801efc8190e86318dd922d4a7179f63684d77a226047fc2f3c78232963eb690","HA_code":"99e3a2eceae0e5543d27473859e10b005d0ce0aa7067f2e1a24d1e0e4a7390fe","checkout":"6b6921f8d463314aa7c96234e1be25a25245f704","wheel":"aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a","all_verified":true},"speed":{"markets_per_second_single":4410.9,"markets_per_second_generation":4260.5,"procs":32,"note":"measured before search on 1024 markets (6010000..6010999) with a persistent fork pool; the host was shared (load average 100-180) during the search, so realised generations took ~19-45 s instead of the ~8 s implied"},"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]},"B":{"passed":true,"seeds":[7232768,7233279],"replica_CG_minus_T":1.920372244773669,"se":0.04445924198500627,"real_reference":2.0,"error":-0.07962775522633092},"C":{"passed":true,"sequences":50,"swap_callbacks":100000,"max_fee_diff_bps":9.197034529784265e-05,"share_above_0_01_bps":0.0,"seeds":[310000,310049],"threshold_bps":0.1}},"search":{"minutes":41.2,"generations":70,"final_sigma":0.02938121830887495,"settings":{"method":"CMA-ES (pycma) over 178 head weights (W1 rows, b1, W2 rows, b2) starting at CG params","CMA_stds":"CG search_settings.CMA_stds per group: W1 0.16007274507182634, b1 0.18564858000307327, W2 0.12726224434596164, b2 0.1185932470281719","popsize":32,"sigma0":0.06,"sigma_cap":"0.06*0.5^(minutes/40), applied after each tell","es_seed":622,"train_markets_per_generation":1024,"train_seed_rule":"generation g uses 1710000000+1024g .. +1023 (same markets for all proposals)","fitness":"mean replica edge","monitor_seeds":[30000000,30002047],"monitor_rule":"every 10 generations score ES mean and best proposal since last check vs CG on the monitor; freeze max","processes":32},"selected":{"point":"best@50","monitor_gain_over_CG":0.002317378854356067},"note":"Search ran in 7.5-minute segments; the last segment hit its 475 s timeout mid-generation after generation 70 and its unsaved generations 71-7x were discarded, so 41.2 recorded search minutes / 70 generations count (about 47 wall minutes were spent)."},"curve":[{"generation":10,"minutes":1.95,"monitor_gain_over_CG_mean":-0.00269,"monitor_gain_over_CG_genbest":-0.0041,"mean_se":0.00331,"sigma":0.04921},{"generation":20,"minutes":5.31,"monitor_gain_over_CG_mean":-0.00641,"monitor_gain_over_CG_genbest":-0.00648,"mean_se":0.00494,"sigma":0.04714},{"generation":30,"minutes":12.07,"monitor_gain_over_CG_mean":-0.00231,"monitor_gain_over_CG_genbest":-0.00154,"mean_se":0.00432,"sigma":0.04752},{"generation":40,"minutes":19.55,"monitor_gain_over_CG_mean":0.00014,"monitor_gain_over_CG_genbest":-0.00328,"mean_se":0.00487,"sigma":0.04276},{"generation":50,"minutes":26.33,"monitor_gain_over_CG_mean":-0.0016,"monitor_gain_over_CG_genbest":0.00232,"mean_se":0.00474,"sigma":0.03802},{"generation":60,"minutes":33.35,"monitor_gain_over_CG_mean":-0.0013,"monitor_gain_over_CG_genbest":0.00167,"mean_se":0.00443,"sigma":0.03366},{"generation":70,"minutes":41.2,"monitor_gain_over_CG_mean":0.00153,"monitor_gain_over_CG_genbest":-0.00193,"mean_se":0.00456,"sigma":0.02938}],"holdout":{"n":8192,"seeds":[40000000,40008191],"over_T":1.9555398208247003,"over_CG":0.0036225286310568178,"over_IB":0.18653982082470044,"se":{"over_T":0.011973352164855225,"over_CG":0.0021878691821601865},"CG_over_T":1.9519172921936434,"over_IB_rule":"over_T - 1.7690 (brief constant)"},"real":{"protocol":"each arm alone vs 30 bps VanillaStrategy, amm_sim_rs.run_batch(code, Vanilla, configs, 8), configs from sim.market_config (MatchRunner._build_configs draw order) + build_config, 64-seed chunks; edge/retail/arb from kit harness.decompose","seeds":{"candidate":[8084000,8085023],"IB":[8084000,8085023],"CG":[8084000,8084511],"HA":[8084000,8084511]},"vs_IB":{"n":1024,"mean_diff":0.17723622136395933,"se":0.024197888889728694,"sum":181.48989067669436,"sumsq":645.5479038951239,"worst5":[[8084139,-2.654919],[8084347,-2.096225],[8084766,-2.094245],[8084941,-2.086937],[8084343,-1.869241]],"retail_delta":-0.30288996021955117,"arb_delta":0.48012618158350906},"vs_CG":{"n":512,"mean_diff":0.008517122001598154,"se":0.007278759956300513,"sum":4.360766464818255,"sumsq":13.898495195867094,"worst5":[[8084481,-0.665904],[8084002,-0.61447],[8084122,-0.47527],[8084302,-0.45241],[8084332,-0.402446]],"retail_delta":-0.025228109058189396,"arb_delta":0.033745231059783616},"vs_HA":{"n":512,"mean_diff":0.8791924527502563,"se":0.03168968008775477,"sum":450.1465358081312,"sumsq":658.5056640357575,"worst5":[[8084343,-1.305193],[8084240,-1.218283],[8084082,-1.07679],[8084320,-1.035477],[8084414,-0.970141]],"retail_delta":0.7424616410324546,"arb_delta":0.1367308117178006},"means":{"candidate_1024":530.2213296001273,"IB_1024":530.0440933787634,"candidate_512":529.1992650767188,"CG_512":529.1907479547172,"HA_512":528.3200726239686}},"gas":{"afterSwap_peak":237612,"afterInitialize_peak":243237,"OOG":0,"per_arm":{"Candidate":{"afterSwap_peak":237612,"afterInitialize_peak":243237,"OOG":0,"reverts_or_halts":0,"afterSwap_calls":11061910},"IB":{"afterSwap_peak":236908,"afterInitialize_peak":243227,"OOG":0,"reverts_or_halts":0,"afterSwap_calls":11063740},"CG":{"afterSwap_peak":237612,"afterInitialize_peak":243237,"OOG":0,"reverts_or_halts":0,"afterSwap_calls":5522076},"HA":{"afterSwap_peak":233524,"afterInitialize_peak":243147,"OOG":0,"reverts_or_halts":0,"afterSwap_calls":5447295}}},"valid":true,"code_zb64":"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continued training from CG's frozen params did not find a meaningful improvement. The frozen point (generation-50 best proposal, monitor +0.0023 over CG, se ~0.0045) gives holdout +0.0036 (se 0.0022) over CG and real +0.0085 (se 0.0073, n=512) over CG: within noise of CG.","Real engine on fresh seeds 8084000..8085023: candidate minus IB +0.177 (se 0.024, n=1024); candidate minus HA +0.879 (se 0.032, n=512 on 8084000..8084511). CG and HA ran on the first 512 seeds only, as the brief allows. Every arm had 0 OOG and 0 reverts.","Replica holdout CG over T = +1.9519, which matches the holdout figure in CG's artifact exactly (same seeds), so the replica and the CG weight vector reproduce.","Replica speed measured 4,260 markets/s (32 processes), so the brief's rule for 2,000+ markets/s was applied: 1,024 training markets per generation. The host was shared with other jobs (load average 100-180), which cut realised throughput to ~19-45 s per generation. That allowed only 70 generations, against CG's 1,039.","Gate A used CG's code with IA's port and W=[1]+multipliers+offsets+178 head weights. Gate C used the frozen Candidate.sol, emitted by replacing only _head in CG.sol; the emitter reproduces CG.sol byte-for-byte from CG's weights (sha256 e1ea8fcb...).","T baseline in the replica = kit port TH_T. over_IB on the holdout uses the brief constant: over_T - 1.7690.","All four artifact JSON ids and every decoded file sha256 (kit's 7 files, CG code and port, IB code, HA code) were checked before use."]}