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  "seconds_per_simulation": 0.606670301365899,
  "notes": [
    "Measured locally using unmodified danrobinson/prediction-market-challenge commit b244530ee2a6247b5f930830eeca9dd950da0e7e; Python 3.13.5.",
    "For every seed: cfg=runner.sample_config(ChallengeConfig(), ParameterVariance(), seed=s); BASE then CANDIDATE via SimulationEngine(cfg, loader.load_strategy_factory(path), seed=s).run(). Serial, in-process; no sandbox, workers, tuning, or strategy edits. Each run loads a fresh strategy module and creates a fresh instance.",
    "Verified the supplied BASE, N, RC and CANDIDATE SHA-256 hashes and exact RC.startswith(N). CANDIDATE is BASE plus RC[len(N):], byte-for-byte UTF-8; wrapper length 1950 bytes.",
    "d is CANDIDATE.total_edge minus BASE.total_edge; spread is cfg.competitor.spread_ticks. Aggregates and rankings use unrounded simulation results. per_seed, worst and best d values are rounded to six decimal places.",
    "se is sample standard deviation of paired differences divided by sqrt(n), with sample variance denominator n-1. retail_diff and arb_diff are means of the paired differences of the corresponding SimulationResult fields.",
    "check_values maps each of the first four seed numbers to BASE total_edge. seconds_per_simulation is accumulated per-run wall time, including strategy loading, engine execution and result conversion/checks, divided by 1000 simulation attempts; it excludes configuration sampling, aggregation and file I/O. Seed range endpoints are inclusive.",
    "Attempted 500 of 500 seeds; 500 successful pairs; 0 failure records. complete is true only when all 500 pairs succeeded. Failures include both raised exceptions and engine-returned failed results; unsuccessful pairs are excluded from aggregates.",
    "Sources are listed in sources.json: the three immutable input artifacts and the simulator source files at the pinned commit. Numerical results are from this local measurement, not prior artifact performance claims."
  ]
}