{
  "math_check": {
    "gamma": [
      0.0,
      0.05,
      0.1,
      0.2,
      0.4
    ],
    "variance_slope_observed": [
      0.0,
      0.4083374166666667,
      0.8166748333333333,
      1.6333496666666667,
      3.2666993333333334
    ],
    "variance_slope_predicted_2gamma": [
      0.0,
      0.1,
      0.2,
      0.4,
      0.8
    ],
    "euler_excess_variance_observed": [
      2.4666993333333336,
      2.4697839835544264,
      2.472871185884375,
      2.479053246870833,
      2.4914479941499996
    ],
    "euler_excess_variance_predicted": [
      0.0,
      3.125e-07,
      1.25e-06,
      5e-06,
      2e-05
    ],
    "identity_abs_errors": [
      0.3083374166666667,
      1.2333496666666668,
      2.4666993333333336
    ],
    "zero_gamma_correction": 2.4666993333333336
  },
  "controller_experiment": {
    "device": "cuda",
    "amortized_pretraining_seconds": 84.64497542381287,
    "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": 11.656281918287277,
    "note": "Costs are direct Monte Carlo rollout objectives; no target trajectories are used."
  }
}