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  "seconds_per_simulation": 0.2174436895554827,
  "notes": [
    "Simulator commit b244530ee2a6247b5f930830eeca9dd950da0e7e, unmodified; Python 3.12.16.",
    "For each inclusive seed, cfg = runner.sample_config(ChallengeConfig(), ParameterVariance(), seed=s); BASE then CANDIDATE used SimulationEngine(cfg, factory, seed=s).run(), with a fresh load_strategy_factory call and strategy instance for each run. Serial in-process; no sandbox or workers.",
    "All three input code SHA-256 values and the candidate SHA-256 matched the brief. RC begins with the exact N text; CANDIDATE is exactly BASE + RC[len(N):]. No strategy tuning or edits.",
    "n counts successful pairs. All 500 seeds were attempted. check_values maps the first four seeds to unrounded BASE total_edge.",
    "d = CANDIDATE.total_edge - BASE.total_edge. Aggregates use unrounded values; per_seed, worst and best d values are rounded to six decimals. sum_d2 is the sum of squared paired differences. se is sample standard deviation divided by sqrt(n).",
    "retail_diff and arb_diff are mean CANDIDATE-minus-BASE component differences over successful pairs. seconds_per_simulation measures strategy loading plus simulation runtime, excluding downloads, setup and aggregation."
  ]
}