1{
 2  "seed": 2028,
 3  "checks": {
 4    "predictions": {
 5      "onset_boundary": "regret starts when delay exceeds true margin 1.0",
 6      "linear_scaling": "regret = delay - 1 in the disagreement interval (slope 1)",
 7      "scale_law": "scaling costs and delays by s scales regret by s and thresholds by s",
 8      "zero_perturbation": "d=0 has zero extra regret for a nominally equivalent predictor"
 9    },
10    "observed": {
11      "onset_grid": 1.05,
12      "last_positive_grid": 2.45,
13      "fitted_regret_vs_delay_slope": 1.0000000000000002,
14      "max_linear_absolute_error": 2.220446049250313e-16,
15      "scale_rows_s_regret_expected": [
16        [
17          0.5,
18          0.25,
19          0.25
20        ],
21        [
22          1.0,
23          0.5,
24          0.5
25        ],
26        [
27          2.0,
28          1.0,
29          1.0
30        ],
31        [
32          3.0,
33          1.5,
34          1.5
35        ]
36      ],
37      "max_scale_absolute_error": 0.0,
38      "zero_delay_worst_regret": 0.0
39    },
40    "theory": {
41      "onset": 1.0,
42      "end": 2.5,
43      "slope": 1.0
44    }
45  },
46  "results": {
47    "mse": {
48      "nominal_regret_mean": 0.0,
49      "worst_regret_mean": 0.0,
50      "worst_regret_max": 0.0,
51      "adversarial_flip_rate": 0.0,
52      "cost_mse": 0.0005127362417326554
53    },
54    "nominal": {
55      "nominal_regret_mean": 0.0,
56      "worst_regret_mean": 0.09968487394957982,
57      "worst_regret_max": 0.4384453781512603,
58      "adversarial_flip_rate": 0.325,
59      "cost_mse": 0.041750840342126685
60    },
61    "adversarial": {
62      "nominal_regret_mean": 0.0,
63      "worst_regret_mean": 0.0,
64      "worst_regret_max": 0.0,
65      "adversarial_flip_rate": 0.0,
66      "cost_mse": 0.05633179241077497
67    }
68  },
69  "note": "Exact hard paths are used for evaluation; training uses differentiable cross-entropy over the exact two-route oracle."
70}