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","port_sha256":"572bb0e6b7eb78ce84d95a48730ba05e699914643c0a062892a5a73970e1f372","holdout":{"frozen_vs_start":{"n":8192,"mean_diff":0.2861237914742327,"se":0.008471151492197286},"frozen_vs_IB":{"n":8192,"mean_diff":0.46953328726133703,"se":0.009462327066274244},"start_vs_IB":{"n":8192,"mean_diff":0.18340949578710425,"se":0.008070722340051928}},"real":{"frozen_vs_IB":{"n":512,"mean_diff":0.4165000077977612,"se":0.034199811841289104,"sum":213.24800399245373,"sumsq":394.82968059653103,"worst5":[[8090277,-2.411648042245929],[8090579,-1.71962351121158],[8090475,-1.7150976272752132],[8090415,-1.6863139630785327],[8090386,-1.565545504456054]],"retail_delta":-0.5055198432237407,"arb_delta":0.9220198510215014,"by_quartile":{"q1":{"n":128,"mean_diff":0.43167781989742293,"se":0.05213329785572271},"q2":{"n":128,"mean_diff":0.4412532425261033,"se":0.06345931426240366},"q3":{"n":128,"mean_diff":0.4721552026851086,"se":0.07790364442807256},"q4":{"n":128,"mean_diff":0.32091376608240996,"se":0.0768611467947213}}},"start_vs_IB":{"n":512,"mean_diff":0.13384612327850443,"se":0.02909318792400845,"sum":68.52921511859427,"sumsq":230.62124847458227,"worst5":[[8090299,-1.8817435781168115],[8090380,-1.748301263818007],[8090120,-1.6892506908752694],[8090519,-1.5963827108978421],[8090582,-1.5232406615006084]],"retail_delta":-0.2933313522380414,"arb_delta":0.4271774755165467,"by_quartile":{"q1":{"n":128,"mean_diff":0.1464426393627818,"se":0.04971487804103978},"q2":{"n":128,"mean_diff":0.14840782265466324,"se":0.05886554476010431},"q3":{"n":128,"mean_diff":0.19460418554453707,"se":0.06430993630865808},"q4":{"n":128,"mean_diff":0.04592984555203561,"se":0.05879844700140312}}},"frozen_vs_start":{"n":512,"mean_diff":0.28265388451925677,"se":0.025489344060175816,"sum":144.71878887385947,"sumsq":210.88938086893245,"worst5":[[8090277,-2.375542384106211],[8090541,-1.509563384658236],[8090579,-1.4514724771877354],[8090418,-1.2443698479619343],[8090128,-0.9704024728741274]],"retail_delta":-0.21218849098569925,"arb_delta":0.49484237550495463,"by_quartile":{"q1":{"n":128,"mean_diff":0.28523518053464114,"se":0.037399630630366554},"q2":{"n":128,"mean_diff":0.2928454198714401,"se":0.05429206766362828},"q3":{"n":128,"mean_diff":0.2775510171405715,"se":0.049862715897741716},"q4":{"n":128,"mean_diff":0.27498392053037435,"se":0.060187259356433605}}},"complete":true,"requested_n":512,"seeds":[8090112,8090623],"means":{"IB":{"edge":529.6506491970619,"retail":559.5169133772071,"arb":-29.866264180144995,"retail_volume":78451.72255380962},"START":{"edge":529.7844953203402,"retail":559.2235820249678,"arb":-29.439086704628412,"retail_volume":78408.80964193968},"Frozen":{"edge":530.0671492048589,"retail":559.0113935339831,"arb":-28.944244329123453,"retail_volume":78350.16002138864}}},"gas":{"IB":[{"role":"Baseline","callback":"afterInitialize","calls":512,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measurements were fabricated. All fetched artifact JSON files matched their URL SHA-256 identifiers; decoded START, IA, IB, replica, differential test and harness hashes were checked.","Gate A and C adapt the supplied RS2 differential test, 50 sequences of 2000 callbacks plus initialization, seeds 310000..310049. Gate B is IG minus IA on 7232768..7233279; real reference +0.507; allowed absolute gap 0.15.","The search benchmark used the same persistent 16-process pool as its first training segment: 256 warmup markets followed by 512 measured markets. Segments are at most 400 seconds plus one generation. Checkpoints preserve CMA state and numpy RNG state.","START freeze self-test reproduced the original Solidity byte for byte. The chosen monitor mean was quantized to 1e-6 head weights and integer WAD constants before Gate C and the one-time holdout and real tests.","Port parameter vector: concatenate [1], feature_multipliers (19), feature_offsets (19), flattened W1 (8x19), b1 (8), flattened W2 (2x8), b2 (2), anchor count/linear/quadratic, then decoded port.TH_VALUES with named constants replaced by params.constants[name][1] (the second element). NW=217; constants suffix starts at 220. Supply this vector as W to strat_init/strat_after.","IB uses its own supplied port and feature definitions; only its own supplied head weights are placed in that port TH tail.","Replica holdout is 41010000..41018191 inclusive, evaluated once after freezing. Real is 8090112..8090623 inclusive, split into eight disjoint 64-seed chunks; each arm is alone against 30 bps Vanilla using run_batch(...,8) and MatchRunner config RNG order.","Real arb edge was reconstructed from pre-arbitrage constant-product reserves and previous fees, with initial fee taken from each strategy; reconstructed arb volume was checked against Rust accumulated arb volume (absolute tolerance max(.01,1e-7*volume)). Retail edge is total edge minus arb edge. Quartiles are stable-ranked by IB retail volume, q1 quietest.","gas aggregates amm_sim_rs.gas_stats() across eight disjoint 64-market chunks per arm: all counts and sum_ok_gas are summed; max_ok_gas is the maximum. All callback failures must be zero, and afterSwap peaks must be at most 245000 for valid=true.","The initial 512-market steady-state benchmark determined M=512. Additional pool benchmarks were run concurrently with ongoing training and are labeled separately; they were not the search-pool gate measurement.","Sigma-cap timing detail: the first 99 generations used generation-start elapsed time for their cap (up to one generation of lag); subsequent generations used completion elapsed time."]}