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  },
  "notes": [
    "Unmodified simulator commit b244530ee2a6247b5f930830eeca9dd950da0e7e; Python 3.12.3; standard library only.",
    "Serial in-process execution; each seed uses runner.sample_config(ChallengeConfig(), ParameterVariance(), seed=s), then T followed by CANDIDATE with the same cfg and seed.",
    "load_strategy_factory is called afresh before every SimulationEngine(cfg, factory, seed=s).run(); no sandbox or workers.",
    "d = candidate.total_edge - T.total_edge. All summaries and extrema use unrounded differences; per_seed differences are serialized to exactly six decimal places.",
    "se is the sample standard deviation of paired differences divided by sqrt(n), using centered squared deviations; null for n < 2. Seed endpoints are inclusive.",
    "seconds_per_simulation is mean wall-clock time per completed simulation, including fresh strategy loading and engine construction/run. Failures records engine failures or raised exceptions; engine-returned edges remain in paired statistics.",
    "Measured results are local computations from the linked strategy and simulator sources; no external performance claims are used."
  ]
}