Jacobian-aligned infill for black-box neural tuning / results.json

✓✓ Beats tuned baseline

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 1{
 2  "verification": {
 3    "jacobian_relative_error": 5.266567800411543e-11,
 4    "residual_norm_before": 2.0485292742980916,
 5    "residual_norm_after": 0.6315321671688156,
 6    "residual_ratio": 0.3082856442875115,
 7    "metric_condition": 26.702837459601692,
 8    "metric_alignment_eigenvalue_check": true,
 9    "sensitivity_eigenvalues": [
10      0.4184851419319303,
11      0.9221812047789869,
12      6.328927519731584,
13      11.17474072426666
14    ],
15    "inverse_metric_eigenvalues": [
16      2.3895710977539495,
17      1.0843855793392183,
18      0.15800465353447607,
19      0.08948753484977386
20    ]
21  },
22  "benchmark": {
23    "seeds": 8,
24    "checkpoints": [
25      100,
26      200,
27      300,
28      400,
29      500
30    ],
31    "baseline_best_loss": [
32      19.89265280154247,
33      5.885681781560736,
34      3.1994980767466115,
35      2.664021308618481,
36      2.31883481760068
37    ],
38    "guided_best_loss": [
39      3.8994209661334818,
40      5.722241795038344e-09,
41      2.2077024540568774e-18,
42      1.2503850908966123e-27,
43      2.9900062386611837e-32
44    ],
45    "final_baseline_mean": 2.31883481760068,
46    "final_guided_mean": 2.9900062386611837e-32,
47    "final_baseline_std": 0.6576922619886229,
48    "final_guided_std": 0.0
49  }
50}