{
  "math_check": {
    "gamma": [
      0.0,
      0.05,
      0.1,
      0.2,
      0.4
    ],
    "variance_slope_observed": [
      0.0,
      0.09999999999999999,
      0.19999999999999998,
      0.39999999999999997,
      0.7999999999999999
    ],
    "variance_slope_predicted_2gamma": [
      0.0,
      0.1,
      0.2,
      0.4,
      0.8
    ],
    "euler_excess_variance_observed": [
      -1.1102230246251565e-16,
      3.124999997669922e-07,
      1.2499999998433903e-06,
      4.999999999925203e-06,
      1.9999999999693874e-05
    ],
    "euler_excess_variance_predicted": [
      0.0,
      3.125e-07,
      1.25e-06,
      5e-06,
      2e-05
    ],
    "identity_abs_errors": [
      1.3877787807814457e-17,
      5.551115123125783e-17,
      1.1102230246251565e-16
    ],
    "zero_gamma_correction": -1.1102230246251565e-16
  },
  "controller_experiment": {
    "device": "cuda",
    "amortized_pretraining_seconds": 97.4223108291626,
    "amortized_mean_cost": 0.728020585840568,
    "amortized_mean_mean_error": 0.05318319221260026,
    "amortized_mean_variance_error": 0.08519219467416406,
    "independent_90step_mean_cost": 0.3131400402635336,
    "independent_mean_error": 0.01835873955860734,
    "independent_variance_error": 0.004139695316553116,
    "independent_seconds_per_task": 11.918880552053452,
    "note": "Costs are direct Monte Carlo rollout objectives; no target trajectories are used."
  }
}