Minkowski-Additive Convex Latents / bench_report.json
Beats tuned baseline
1{
2 "bench_version": 1,
3 "track": "minkowski_composition",
4 "model": "mlp_tiny",
5 "metric_direction": "lower is better",
6 "n_seeds": 8,
7 "baseline": {
8 "best_cfg": {
9 "lr": 0.01,
10 "weight_decay": 0.0
11 },
12 "sweep": [
13 {
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20 {
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25 "mean": 0.057413769885897636
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27 {
28 "cfg": {
29 "lr": 0.01,
30 "weight_decay": 0.0
31 },
32 "mean": 0.022922257892787457
33 }
34 ],
35 "full": {
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37 "std": 0.0058978451511714595,
38 "per_seed": [
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45 0.010963048785924911,
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47 ],
48 "n": 8
49 },
50 "idea_union_grid": [
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53 "weight_decay": 0.0
54 },
55 {
56 "lr": 0.003,
57 "weight_decay": 0.0
58 },
59 {
60 "lr": 0.01,
61 "weight_decay": 0.0
62 }
63 ]
64 },
65 "idea": {
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68 "per_seed": [
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77 ],
78 "n": 8
79 },
80 "comparison": {
81 "delta_mean": -0.019450091422186233,
82 "idea_wins": 8,
83 "n_pairs": 8,
84 "per_seed_diffs": [
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92 -0.02280725841410458
93 ],
94 "p_value": 0.0081,
95 "mde": 0.005072785876795095,
96 "mde_rel_pct": 24.79475620267728,
97 "verdict": "idea better (significant)",
98 "system_worked": true
99 },
100 "custom_track": {
101 "name": "minkowski_composition",
102 "file": "minkowski_track.py",
103 "domain": "structured_convex_composition"
104 },
105 "idea_sweep": [
106 {
107 "cfg": {
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109 "weight_decay": 0.0
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113 {
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120 {
121 "cfg": {
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123 "weight_decay": 0.0
124 },
125 "mean": 0.001075072243111208
126 }
127 ],
128 "mechanism_signature": {
129 "quantity": "trained additive output error and local perturbation amplification",
130 "predicted": {
131 "componentwise_addition": "nonnegative weighted sum",
132 "amplification_bound": "approximately alpha+beta"
133 },
134 "observed_mean_additivity_error": 0.10632766596972942,
135 "observed_median_local_amplification": 1.3048688173294067,
136 "observed_p90_local_amplification": 1.5228296875953675,
137 "confirmed": true
138 }
139}