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", "port_sha256": "cdf8c0f846f4439bc4f368b6a7bfcb6313cee5ab0904f89dcb24e3568496e125", "holdout": {"seeds": [41090000, 41098191], "frozen_vs_start": {"n": 8192, "mean_diff": 0.0, "se": 0.0, "worst5": [[41090000, 0.0], [41090001, 0.0], [41090002, 0.0], [41090003, 0.0], [41090004, 0.0]], "retail_delta": 0.0, "arb_delta": 0.0}, "frozen_vs_IB": {"n": 8192, "mean_diff": 0.841474332619672, "se": 0.00959413108564565, "worst5": [[41092519, -4.854854542812177], [41095160, -3.2651806434115542], [41096139, -2.368663150739337], [41093161, -2.3408470088066906], [41093721, -2.2800272032377507]], "retail_delta": -0.2558006807261387, "arb_delta": 1.0972750133458111}, "start_vs_IB": {"n": 8192, "mean_diff": 0.841474332619672, "se": 0.00959413108564565, "worst5": [[41092519, -4.854854542812177], [41095160, -3.2651806434115542], [41096139, -2.368663150739337], [41093161, -2.3408470088066906], [41093721, -2.2800272032377507]], "retail_delta": -0.2558006807261387, "arb_delta": 1.0972750133458111}, "means": {"frozen": 529.280990106658, "start": 529.280990106658, "IB": 528.4395157740385}}, "real": {"seeds": [8193536, 8193983], "engine": "amm_sim_rs.run_batch(X, VanillaStrategy, configs, 8), each arm alone, configs per MatchRunner._build_configs draw order, 64-seed commands", "frozen_vs_IB": {"n": 448, "mean_diff": 0.8098488885068086, "se": 0.03898507649401785, "sum": 362.81230205105027, "sumsq": 598.1794554659707, "worst5": [[8193903, -1.903560097717559], [8193910, -1.5444925549975324], [8193944, -1.5050491435583808], [8193675, -1.2997417541256482], [8193604, -1.2827343691561737]], "quartiles": [0.3190335508692783, 0.7451605693993599, 1.2609597782210642], "retail_delta": -0.28210234233553994, "arb_delta": 1.0919512308423467, "retail_volume_delta": 268.33457738967957, "mean_edge": {"frozen": 527.5290725895902, "IB": 526.7192237010834}, "max_abs_arb_volume_reconstruction_error": 0.0037798151170136407}, "start_vs_IB": {"same_as": "frozen_vs_IB", "reason": "frozen Solidity is byte-identical to START (sha256 039fa1a3...)"}, "frozen_vs_start": {"n": 448, "mean_diff": 0.0, "se": 0.0, "sum": 0.0, "sumsq": 0.0, "note": "identical code; not run as a separate arm"}, "skipped_seeds": [8193984, 8194047], "skipped_reason": "IB chunk 8193984..8194047 was killed by the 8-minute command limit before returning any result; not rerun so no seed is reused; frozen was not run on it"}, "gas": {"afterSwap_peak": 237748, "oog": 0, "frozen": {"afterSwap_peak": 237748, "oog": 0, "revert_or_other_failures": 0, "afterSwap_calls": 4841588, "chunks": 7}, "IB": {"afterSwap_peak": 237068, "oog": 0, "revert_or_other_failures": 0, "afterSwap_calls": 4803210, "chunks": 7}}, "valid": true, "notes": ["Nothing beat START: every 5-minute monitor of the ES mean on 30000000..30002047 was below START (between -0.026 and -0.055, se ~0.008), so the kept best point is z=0 = START. params, code and port are START unchanged; the next leg should start from START again, or from es_mean_final_z only with caution (monitor -0.033 at 65 min).", "Search space: 219 z = 178 head weights (start + 0.05*rms(block)*z, blocks W1,b1,W2,b2) and 41 constants (start*2^(0.03 z); ELAPSED_CAP, DIR_IMPACT_MULT, STEP_COUNT_CAP, ANCHOR_COUNT_CAP rounded; constants named *DECAY clipped at 0.9999 to keep decays below 1, an addition of this leg). sigma capped at 0.3*0.5^(minutes/45) after each generation.", "Replica = KIT-B sim.py with its port import pointed at START port (and IB port for IB); port files unchanged. Freezer rewrites only the 41 constant literals and the _head literals; applied to START params it reproduces START Solidity byte-for-byte (sha256 039fa1a3fcab7d33a03457284bdb8858beea581eaddcd904631e8c0d91855608).", "Input hashes checked: START artifact, IB artifact and KIT-B artifact JSON sha256 equal their URL ids; IB code sha256 301941829a44bb60977bb28181a5e4bfa6544f3696763f987054789b2611d686; START code 039fa1a3..., START port cdf8c0f8...; KIT-B decoded files match their listed sha256.", "Real START arm not run separately (identical bytecode to frozen). Retail/arb edge split uses the KIT-B arb reconstruction (assertion relaxed; max reconstruction error reported). No leaderboard claim."]}