{
  "seed": 2028,
  "checks": {
    "predictions": {
      "onset_boundary": "regret starts when delay exceeds true margin 1.0",
      "linear_scaling": "regret = delay - 1 in the disagreement interval (slope 1)",
      "scale_law": "scaling costs and delays by s scales regret by s and thresholds by s",
      "zero_perturbation": "d=0 has zero extra regret for a nominally equivalent predictor"
    },
    "observed": {
      "onset_grid": 1.05,
      "last_positive_grid": 2.45,
      "fitted_regret_vs_delay_slope": 1.0000000000000002,
      "max_linear_absolute_error": 2.220446049250313e-16,
      "scale_rows_s_regret_expected": [
        [
          0.5,
          0.25,
          0.25
        ],
        [
          1.0,
          0.5,
          0.5
        ],
        [
          2.0,
          1.0,
          1.0
        ],
        [
          3.0,
          1.5,
          1.5
        ]
      ],
      "max_scale_absolute_error": 0.0,
      "zero_delay_worst_regret": 0.0
    },
    "theory": {
      "onset": 1.0,
      "end": 2.5,
      "slope": 1.0
    }
  },
  "results": {
    "mse": {
      "nominal_regret_mean": 0.0,
      "worst_regret_mean": 0.0,
      "worst_regret_max": 0.0,
      "adversarial_flip_rate": 0.0,
      "cost_mse": 0.0005127362417326554
    },
    "nominal": {
      "nominal_regret_mean": 0.0,
      "worst_regret_mean": 0.09968487394957982,
      "worst_regret_max": 0.4384453781512603,
      "adversarial_flip_rate": 0.325,
      "cost_mse": 0.041750840342126685
    },
    "adversarial": {
      "nominal_regret_mean": 0.0,
      "worst_regret_mean": 0.0,
      "worst_regret_max": 0.0,
      "adversarial_flip_rate": 0.0,
      "cost_mse": 0.05633179241077497
    }
  },
  "note": "Exact hard paths are used for evaluation; training uses differentiable cross-entropy over the exact two-route oracle."
}