Entropy-calibrated hyperbolic curvature / bench_report.json
Mechanism confirmed, baseline not beaten
1{
2 "bench_version": 1,
3 "track": "dynamics",
4 "model": "rnn_small",
5 "metric_direction": "lower is better",
6 "n_seeds": 8,
7 "baseline": {
8 "best_config": {
9 "lr": 0.006,
10 "epochs": 12
11 },
12 "sweep": {
13 "0.001": 0.004298779065720737,
14 "0.003": 0.0034615940821822733,
15 "0.006": 0.0018282315868418664
16 },
17 "full": {
18 "per_seed": [
19 0.002004395006224513,
20 0.001437882543541491,
21 0.0015748648438602686,
22 0.002295783953741193,
23 0.0024020641576498747,
24 0.0024898042902350426,
25 0.0020851334556937218,
26 0.0025566271506249905
27 ]
28 },
29 "all_configs": {
30 "0.001": [
31 0.007754037156701088,
32 0.003745198715478182,
33 0.0025475025177001953,
34 0.003148377873003483,
35 0.004954223055392504,
36 0.004425588063895702,
37 0.0044244141317903996,
38 0.009162315167486668
39 ],
40 "0.003": [
41 0.002470282604917884,
42 0.002755755092948675,
43 0.0011578478151932359,
44 0.007462490815669298,
45 0.0025412666145712137,
46 0.0030948929488658905,
47 0.0021244161762297153,
48 0.0019843443296849728
49 ],
50 "0.006": [
51 0.002004395006224513,
52 0.001437882543541491,
53 0.0015748648438602686,
54 0.002295783953741193,
55 0.0024020641576498747,
56 0.0024898042902350426,
57 0.0020851334556937218,
58 0.0025566271506249905
59 ]
60 }
61 },
62 "idea": {
63 "best_config": {
64 "lr": 0.006,
65 "epochs": 12
66 },
67 "sweep_means": {
68 "0.001": 0.0045381716336123645,
69 "0.003": 0.0035767197841778398,
70 "0.006": 0.0014118490216787905
71 },
72 "per_seed": [
73 0.0018144856439903378,
74 0.0014102724380791187,
75 0.0007331487722694874,
76 0.0016894892323762178,
77 0.0015310372691601515,
78 0.0012987027876079082,
79 0.002770845778286457,
80 0.0015978770097717643
81 ],
82 "signature_samples": [
83 {
84 "entropy": 0.7434267299673585,
85 "curvature": 0.056044551169079165,
86 "radius_mean": 1.352136492729187,
87 "radius_tau": 0.3528751730918884
88 },
89 {
90 "entropy": 0.8414160177487802,
91 "curvature": 0.056044551169079165,
92 "radius_mean": 1.300600290298462,
93 "radius_tau": 0.3686612844467163
94 },
95 {
96 "entropy": 0.8015473816323408,
97 "curvature": 0.056044551169079165,
98 "radius_mean": 1.31516432762146,
99 "radius_tau": 0.41591450572013855
100 },
101 {
102 "entropy": 0.7520167144600518,
103 "curvature": 0.056044551169079165,
104 "radius_mean": 1.4210695028305054,
105 "radius_tau": 0.40408262610435486
106 },
107 {
108 "entropy": 0.8041456100108358,
109 "curvature": 0.056044551169079165,
110 "radius_mean": 1.2326090335845947,
111 "radius_tau": 0.40702223777770996
112 },
113 {
114 "entropy": 0.7911075937989723,
115 "curvature": 0.056044551169079165,
116 "radius_mean": 1.3452383279800415,
117 "radius_tau": 0.3651469051837921
118 },
119 {
120 "entropy": 0.8041456100108358,
121 "curvature": 0.056044551169079165,
122 "radius_mean": 1.3425686359405518,
123 "radius_tau": 0.41605350375175476
124 },
125 {
126 "entropy": 0.7550113436280443,
127 "curvature": 0.056044551169079165,
128 "radius_mean": 1.4108587503433228,
129 "radius_tau": 0.4241693317890167
130 }
131 ]
132 },
133 "comparison": {
134 "delta_mean": -0.0005000870587537065,
135 "idea_wins": 7,
136 "n_pairs": 8,
137 "per_seed_diffs": [
138 -0.0001899093622341752,
139 -2.7610105462372303e-05,
140 -0.0008417160715907812,
141 -0.000606294721364975,
142 -0.0008710268884897232,
143 -0.0011911015026271343,
144 0.0006857123225927353,
145 -0.0009587501408532262
146 ],
147 "p_value": 0.05505,
148 "mde": 0.0005172797403971514,
149 "mde_rel_pct": 24.56429711910889,
150 "verdict": "no significant win",
151 "system_worked": false
152 },
153 "math_sanity": {
154 "entropy_decreasing_fraction": 1.0,
155 "lambda_true": 1.1249358995152312,
156 "lambda_recovered": 1.1249358995152312,
157 "amplification": 1.657187089473768
158 },
159 "mechanism_signature": {
160 "predicted_lambda": 1.1249358995152312,
161 "observed_entropy_curve_recovered_lambda": 1.1249358995152312,
162 "trained_model_entropy_mean": 0.7866021251571524,
163 "trained_model_curvature_mean": 0.056044551169079165,
164 "confirmed": true
165 }
166}