{
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      "gas": {
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        "init_max_ok": 243090,
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    },
    {
      "name": "V10",
      "sha256": "cd9bdb45ab0537ad25c4fd90ca8618898cef6386de3df65f192eaef65fbca245",
      "params": null,
      "n": 512,
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      "se": 0.0,
      "worst": [
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        {
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        {
          "seed": 745002,
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        {
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        {
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      "retail_edge_delta": {
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      "arb_edge_delta": {
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      "gas": {
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        "oog": 0
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  ],
  "pairwise": {
    "A0_minus_A4": {
      "mean": -0.06584158496836123,
      "se": 0.013375037902987887
    },
    "A0_minus_A2": {
      "mean": 0.28187948711691,
      "se": 0.027275321209852377
    }
  },
  "interpretation": "Size replacement carries gain: A2 (count only) -0.20274 vs V10; A3 (count+size, correction off) +0.14432; A3-A2 +0.34706 (SE 0.02306). Strong correction costs 0.06584 vs slope 1 (SE 0.01338): -0.49046 retail, +0.42462 arb. RS1 nets +0.07914. Retention 0.95 costs 0.05622; size_scale 1 improves 0.04522; mix 0.33 improves 0.02055 (SE 0.01426). A1 equals V10 every seed. These are fixed tuning-block effects.",
  "notes": {
    "evidence": "All reported arm metrics are local measurements on the fixed block, not prior artifact performance. External sources define code and method; no leaderboard claim.",
    "reference": {
      "name": "V10",
      "url": "https://api.imdnotdead.fun/artifacts/33f54e81f3372088e9eced52c0174f310ac348af98ef5727b73785c088679194",
      "sha256": "cd9bdb45ab0537ad25c4fd90ca8618898cef6386de3df65f192eaef65fbca245"
    },
    "generator": {
      "url": "https://api.imdnotdead.fun/artifacts/7322427b95805d2d17d6c2a78be725cf814b2ef29eccd042492708915f12ca0f",
      "field": "generator_source",
      "base": "V10 code",
      "params_order": [
        "structure",
        "mix",
        "retention_per_step",
        "rate_scale",
        "size_scale",
        "quote_correction_slope"
      ],
      "all_arms_rebuilt_from_v10": true,
      "A0_byte_identical_to_RS1": true,
      "source_hash_encoding": "SHA-256 of exact UTF-8 Solidity source, including trailing newline"
    },
    "arm_changes": {
      "A0": "RS1 unchanged",
      "A1": "mix=0",
      "A2": "structure=0 (count only; no size replacement or missing-flow correction)",
      "A3": "structure=1 (count+size; no missing-flow correction)",
      "A4": "quote_correction_slope=1 (near-zero correction, not exact off)",
      "A5": "retention_per_step=0.95",
      "A6": "mix=0.33",
      "A7": "size_scale=1.0",
      "V10": "Unmodified reference; params=null"
    },
    "validation": {
      "setup": "passed once; pinned wheel checksum and StarterStrategy validation passed",
      "amm_match_validate": {
        "A0": "passed",
        "A1": "passed",
        "A2": "passed",
        "A3": "passed",
        "A4": "passed",
        "A5": "passed",
        "A6": "passed",
        "A7": "passed",
        "V10": "passed"
      },
      "zero_mix_identity": {
        "n": 512,
        "exact_edge_equal": true,
        "exact_reconstructed_components_equal": true,
        "exact_fair_spot_fee_path_hash_equal": true
      },
      "other_callback_errors": {
        "A0": {
          "revert": 0,
          "other_halt": 0,
          "tx_error": 0,
          "bad_return": 0
        },
        "A1": {
          "revert": 0,
          "other_halt": 0,
          "tx_error": 0,
          "bad_return": 0
        },
        "A2": {
          "revert": 0,
          "other_halt": 0,
          "tx_error": 0,
          "bad_return": 0
        },
        "A3": {
          "revert": 0,
          "other_halt": 0,
          "tx_error": 0,
          "bad_return": 0
        },
        "A4": {
          "revert": 0,
          "other_halt": 0,
          "tx_error": 0,
          "bad_return": 0
        },
        "A5": {
          "revert": 0,
          "other_halt": 0,
          "tx_error": 0,
          "bad_return": 0
        },
        "A6": {
          "revert": 0,
          "other_halt": 0,
          "tx_error": 0,
          "bad_return": 0
        },
        "A7": {
          "revert": 0,
          "other_halt": 0,
          "tx_error": 0,
          "bad_return": 0
        },
        "V10": {
          "revert": 0,
          "other_halt": 0,
          "tx_error": 0,
          "bad_return": 0
        }
      },
      "reconciliation_max_abs_by_arm": {
        "A0": 1.1368683772161603e-13,
        "A1": 0.0,
        "A2": 1.1368683772161603e-13,
        "A3": 1.0658141036401503e-13,
        "A4": 1.1013412404281553e-13,
        "A5": 1.1368683772161603e-13,
        "A6": 1.0658141036401503e-13,
        "A7": 1.1368683772161603e-13,
        "V10": 0.0
      }
    },
    "calibration": {
      "source_url": "https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol",
      "n": 1000,
      "seeds_inclusive": [
        0,
        999
      ],
      "mean_edge": 525.5258821780834,
      "expected": 525.5258821780834,
      "abs_error": 0.0,
      "gas_valid": true
    },
    "method": {
      "harness_source_url": "https://api.imdnotdead.fun/artifacts/33f54e81f3372088e9eced52c0174f310ac348af98ef5727b73785c088679194",
      "field": "harness_source",
      "market": "Each strategy alone against VanillaStrategy, never two candidate strategies in one market.",
      "batch": "amm_sim_rs.run_batch(candidate_bytecode, vanilla_bytecode, configs, 8); 20-seed memory chunks, final chunk 12; each seed evaluated once per arm.",
      "configs": "numpy.random.default_rng(seed): uniform size [19,21], rate [0.6,1.0], sigma [0.000882,0.001008], in that order. 10000 steps; initial price=100, x=100, y=10000; mu=0, dt=1, retail size sigma=1.2, buy probability=0.5; price seed=seed, retail seed=seed+1.",
      "pairing": "Per-seed candidate edge minus V10 edge; SE=sample SD(ddof=1)/sqrt(512). Pairwise uses direct same-seed A0-minus-ablation differences, retaining covariance.",
      "worst": "Five smallest per-seed edge deltas versus V10; d is candidate minus V10.",
      "decomposition": "Pinned harness reconstruction: optimal arb profit at each fair price, preceding final spot/fees, constant k=100*10000 and initial fee=0.0004. Arb edge is negative profit; retail edge=reported total edge minus reconstructed arb edge. Deltas are versus V10; split is reconstructed, not simulator trade-type counters.",
      "gas": "gas_stats_reset before every chunk; gas_stats after every chunk, summed counts and max of maxima. max_ok is Submission afterSwap; init_max_ok is Submission afterInitialize. oog sums all callbacks of both roles; any OOG invalidates the hash.",
      "compiler": {
        "version": "0.8.24",
        "optimizer_runs": 200,
        "viaIR": true,
        "evmVersion": "paris"
      },
      "repository": "https://github.com/benedictbrady/amm-challenge",
      "commit": "6b6921f8d463314aa7c96234e1be25a25245f704",
      "simulator_wheel_sha256": "aedb68280aca34c110968f00148387c95885207913fb2cf19a1ab4c5cfd6887a",
      "runtime_versions": {
        "python": "3.12.3",
        "numpy": "2.5.4",
        "py-solc-x": "2.1.0",
        "pyrevm": "0.3.7",
        "amm_sim_rs": "0.1.0.post1"
      }
    },
    "arm_means": {
      "A0": {
        "edge": 516.3481734931245,
        "retail": 542.7427191417213,
        "arb": -26.394545648596903
      },
      "A1": {
        "edge": 516.2690350273049,
        "retail": 542.6955693128148,
        "arb": -26.42653428551
      },
      "A2": {
        "edge": 516.0662940060074,
        "retail": 544.1272217793775,
        "arb": -28.06092777336995
      },
      "A3": {
        "edge": 516.4133544887461,
        "retail": 543.2379217763876,
        "arb": -26.824567287641514
      },
      "A4": {
        "edge": 516.4140150780928,
        "retail": 543.2331818136049,
        "arb": -26.819166735512106
      },
      "A5": {
        "edge": 516.2919492872527,
        "retail": 542.4479920511051,
        "arb": -26.15604276385235
      },
      "A6": {
        "edge": 516.368725292282,
        "retail": 542.9505805484829,
        "arb": -26.58185525620099
      },
      "A7": {
        "edge": 516.3933897631584,
        "retail": 543.3640989110668,
        "arb": -26.970709147908437
      },
      "V10": {
        "edge": 516.2690350273049,
        "retail": 542.6955693128148,
        "arb": -26.42653428551
      }
    },
    "additional_paired_mechanism_contrasts": {
      "A3_minus_A2": {
        "mean": 0.3470604827386029,
        "se": 0.023062622399563935,
        "retail_edge_delta": {
          "mean": -0.8893000029898352,
          "se": 0.02377010612349285
        },
        "arb_edge_delta": {
          "mean": 1.2363604857284383,
          "se": 0.009856733806693921
        }
      },
      "A0_minus_A3": {
        "mean": -0.06518099562169288,
        "se": 0.013348211374229481,
        "retail_edge_delta": {
          "mean": -0.49520263466629844,
          "se": 0.014367917932078889
        },
        "arb_edge_delta": {
          "mean": 0.4300216390446062,
          "se": 0.006125919773604087
        }
      },
      "A0_minus_A5": {
        "mean": 0.05622420587168875,
        "se": 0.013527356789249335,
        "retail_edge_delta": {
          "mean": 0.2947270906162438,
          "se": 0.014849740606050259
        },
        "arb_edge_delta": {
          "mean": -0.23850288474455472,
          "se": 0.0052464779468442075
        }
      },
      "A0_minus_A6": {
        "mean": -0.020551799157460193,
        "se": 0.014262090219924164,
        "retail_edge_delta": {
          "mean": -0.20786140676154252,
          "se": 0.015815097212310256
        },
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    "limitations": [
      "This is a fixed tuning-block ablation, not independent confirmation or parameter search.",
      "A2 removes size replacement and missing-flow correction together; A0-A2 is a joint ablation.",
      "Retail/arb component SEs do not add; components covary.",
      "Calibration alone uses seeds 0..999; every reported ablation uses exactly 745000..745511."
    ]
  }
}