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","code_sha256":"cb6d945511e1e10af78baa64c2a6cb25806f0998403ce6440654bfc3c70092d9","port_zb64":"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","port_sha256":"732c0fb615480020795039a111e4a49a46f851e6f29720b092665b247d79006b","holdout":{"seeds":[41050000,41058191],"evaluated_once":true,"frozen_vs_start":{"n":8192,"mean_diff":0.0,"se":0.0,"retail_edge_delta":0.0,"arb_edge_delta":0.0,"retail_volume_delta":0.0,"worst5":[[41050000,0.0],[41050001,0.0],[41050002,0.0],[41050003,0.0],[41050004,0.0]]},"frozen_vs_IB":{"n":8192,"mean_diff":0.7711151564689722,"se":0.00979618408201826,"retail_edge_delta":-0.22823590338816657,"arb_edge_delta":0.9993510598571396,"retail_volume_delta":290.7664695847116,"worst5":[[41050948,-9.937336455210698],[41051377,-4.216523246848851],[41054184,-3.772323877511269],[41053813,-3.6842604909656984],[41058080,-3.2370881985679034]]},"start_vs_IB":{"n":8192,"mean_diff":0.7711151564689722,"se":0.00979618408201826,"retail_edge_delta":-0.22823590338816657,"arb_edge_delta":0.9993510598571396,"retail_volume_delta":290.7664695847116,"worst5":[[41050948,-9.937336455210698],[41051377,-4.216523246848851],[41054184,-3.772323877511269],[41053813,-3.6842604909656984],[41058080,-3.2370881985679034]]},"means":{"frozen":530.3089791165812,"start":530.3089791165812,"IB":529.5378639601122}},"real":{"engine":"amm_sim_rs.run_batch(list(bytecode), list(VanillaStrategy bytecode), configs, 8); each arm alone vs the 30 bps VanillaStrategy; configs per MatchRunner._build_configs with seed i -> seed; 64-seed 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candidate beat START. The monitor (ES mean on seeds 30000000..30002047, every 5 search minutes) never exceeded START: best was the z=0 start itself (gain 0.0, gen 0); the ES mean's monitor gain was -0.0226 at gen 23, -0.0415 at gen 97, -0.0048 at gen 197 and -0.0147 at gen 230 (se about 0.008). The frozen point is therefore START: params, Solidity (sha256 cb6d9455...92d9) and port (sha256 732c0fb6...006b) are returned byte-for-byte unchanged.","Search: CMA-ES as specified (seed 20261411, population 16, sigma0 0.3 capped at 0.3*0.5^(minutes/60)), 241 generations in 55.7 search minutes, M=512 shared fresh markets per generation (seeds 1328000000..1328123391, none reused), 8 segments under 8 minutes each with state saved in scratch/ckpt.pkl. Sigma fell from 0.3 to 0.158. The search was stopped at 22:16 UTC, about 9 minutes before the 30-minutes-before-end mark, because generation time had doubled (13 s to 27 s) under external machine load (load average 6-7 on 4 cpus) and the confirmations needed the remaining time.","Deviation in the z->constant map, from generation 32 on: constants whose name ends in _DECAY are capped at 0.9999. With constant = start*2^(0.03 z), LAMBDA_DECAY (0.99185) exceeded 1 in roughly one proposal in five during the first 31 generations, which makes the lambda EMA diverge (about -97 edge per market); such proposals ranked last anyway, so the first 31 generations are valid CMA generations, but a fifth of their evaluations were wasted. START's constants are unaffected.","Gate A: 50 sequences x 2000 callbacks in five 10-sequence commands (harness seeds 310000..310049), amounts capped at 2% of the reserve and fair price kept within 4x of its start; max |EVM - port| 6.19e-05 bps, no reverts. Ten uncapped stress sequences (seeds 320000..320009, amount cap 6%, unbounded fair) also completed with max 4.19e-05 bps and no reverts; the division-by-zero revert the START leg reported (15% amount cap, its own seeds) was not reproduced here. Gate C on the frozen (identical) Solidity used the same sequences at the 0.1 bps threshold.","Gate B: START minus IB on replica seeds 8588000..8589023 = +0.7692 (se 0.0269), 0.050 below the supplied real +0.819, within 0.15 and identical to the START leg's own replica figure. The replica is KIT sim.py (sha256 aa97e7eb...00d3) with its strategy import bound to each file's own port; IB runs in its own port with its frozen 178 head weights and anchor (674, 0.7127, 1.2952).","Real engine, once, seeds 8131072..8131583 in 64-seed commands, each arm alone against VanillaStrategy: START(=frozen) minus IB = +0.719 (se 0.045, n 512), consistent with the supplied +0.819 within about 2.2 se; retail volume +282.6 Y, arb volume -51.8 Y. The frozen and START arms are the same bytecode and the engine is deterministic, so frozen_vs_start is exactly zero on every seed. afterSwap peak gas 237,611 (frozen/START) and 237,052 (IB), 0 OOG, 0 reverts over 5,547,061 submission afterSwap calls; valid = true.","Holdout (replica, once, seeds 41050000..41058191): START(=frozen) minus IB = +0.7711 (se 0.0098). frozen_vs_start is zero by identity.","Speed: 673 START replica markets/s on a warmed 4-process pool (1024 markets, measured during Gate B); during the search the effective rate was about 650 markets/s at first and about 320 markets/s at the end under external load. Hence M=512 and the 30-minute stop rule applied.","For the next relay leg: params/code/port are START's. search.es_mean_z_final and sigma_final give the final CMA mean (in z units, layout in search.z_layout) and step size if a warm restart from the ES mean is wanted instead of from START; its monitor gain was -0.0147 (se 0.0086) at gen 230, i.e. statistically indistinguishable from START but not better.","Environment notes: '. scratch/env.sh' could not be sourced by the tool shell, so the identical exports were applied through scratch/run.sh with literal paths; background processes do not survive between commands, so each search segment ran in the foreground. Gate A and Gate C each ran as five parallel 10-sequence commands. KIT files were decoded and hash-checked but only its sim.py was used."]}