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continuation."},"seeds":{"gate_A":[310000,310049],"gate_B":[7116384,7116895],"regression":[0,99],"train":[514000000,514016639],"monitor":[30000000,30002047],"holdout":[40000000,40008191],"confirmation":[7257344,7257855],"benchmark":[6010000,6010511]},"iad_code_zb64":"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","iad_sha256":"7f6998c8df1b738dbd9715053edae7c9c8fdad71bf7228d67b6f1b7573c7126b","regression":{"n":100,"code_sha256":{"IA":"956566e95f46dc1ed5980fae5e550de7b9da10f9b3ad8eed62f265682cfcecf2","IAD":"7f6998c8df1b738dbd9715053edae7c9c8fdad71bf7228d67b6f1b7573c7126b"},"seeds":[0,99],"every_seed_edge_identical":true,"max_abs_edge_difference":0.0,"gas":{"IA":{"afterSwap":{"peak":237739,"oog":0,"calls":1082151,"sum_ok_gas":146667162004,"mean_ok_gas":135532.99124059395},"afterInitialize":{"peak":243237,"oog":0,"calls":100,"sum_ok_gas":24323700,"mean_ok_gas":243237.0}},"IAD":{"afterSwap":{"peak":131825,"oog":0,"calls":1082151,"sum_ok_gas":113054477545,"mean_ok_gas":104471.99840410442},"afterInitialize":{"peak":176917,"oog":0,"calls":100,"sum_ok_gas":17691700,"mean_ok_gas":176917.0}}},"passed":true},"notes":["All performance, timing, gate and gas values are measurements from this run; input hashes identify requester-provided artifacts. No leaderboard submission or top-10 claim.","IA params are the frozen IA policy. Its restart vector differs from its frozen params; used frozen params to satisfy fee equality and the Gate B reference.","IA port is used directly; wide port changes only NH from 8 to 16 and appends the frozen policy. Original source numeric-literal TH entries are not optimized.","Curve train_best is the generation best absolute replica edge, not a paired gain. Monitor fields are paired gains; each curve monitor se is the paired vs_T standard error.","Replica RNG distributions match the engine but paths differ (independent SplitMix64/xorshift64*/Box-Muller/Knuth vs Rust Pcg64/Ziggurat). Transfer is empirical.","Retail/arb real deltas use the kit decompose function: edge is Rust output, arb is reconstructed from constant-k pre-arb states; retail=edge-arb. Reconstruction error is separately reported.","Once-only holdout evaluated after freeze; no tuning on holdout or real confirmation. Real regression seeds 0..99 were used only for exact packing regression, as explicitly required.","Solidity source and float port are zlib/base64. Decode and check SHA-256. The port exports TH_VALUES, TH_NAMES, strat_init, strat_after; S is fresh numpy.zeros(40), quantities in real units. Standard AMMChallenge Solidity imports and the goal SETUP runtime are required. Installed binary dependencies are not embedded in these JSON outputs."]}