Skew-Midpoint Neural Dynamics / bench_report.json
Mechanism confirmed, baseline not beaten
1{
2 "bench_version": 1,
3 "track": "dynamics",
4 "model": "matched_recurrent_transition",
5 "metric_direction": "lower is better",
6 "n_seeds": 8,
7 "baseline": {
8 "best_cfg": {
9 "lr": 0.003
10 },
11 "sweep": [
12 {
13 "cfg": {
14 "lr": 0.001
15 },
16 "mean": 1.1671915558508772e-05
17 },
18 {
19 "cfg": {
20 "lr": 0.003
21 },
22 "mean": 8.121563496388262e-06
23 },
24 {
25 "cfg": {
26 "lr": 0.01
27 },
28 "mean": 9.811891231947811e-06
29 }
30 ],
31 "full": {
32 "mean": 6.580378681064758e-06,
33 "std": 3.0327352566591053e-06,
34 "per_seed": [
35 4.271172201697482e-06,
36 8.293503924505785e-06,
37 7.3761525527515914e-06,
38 1.254542530659819e-05,
39 7.987388016772456e-06,
40 6.073088570701657e-06,
41 2.071602011710638e-06,
42 4.024696863780264e-06
43 ],
44 "n": 8
45 }
46 },
47 "idea": {
48 "lr": 0.003,
49 "mean": 5.4746383426618195e-06,
50 "std": 5.993504897644281e-06,
51 "per_seed": [
52 1.7064038502212497e-06,
53 2.001432039833162e-05,
54 2.124709681083914e-06,
55 2.3162219804362394e-06,
56 7.144091796362773e-06,
57 2.4120477064570878e-06,
58 5.545186922972789e-07,
59 7.524792636104394e-06
60 ],
61 "n": 8,
62 "sweep": [
63 {
64 "lr": 0.001,
65 "mean": 7.756197987873747e-06,
66 "std": 4.2305065129479555e-06,
67 "per_seed": [
68 9.251196388504468e-06,
69 1.7147776816273108e-05,
70 5.101515398564516e-06,
71 3.05935509459232e-06,
72 8.358783816220239e-06,
73 7.70948736317223e-06,
74 8.440194505965337e-06,
75 2.981274519697763e-06
76 ],
77 "n": 8
78 },
79 {
80 "lr": 0.003,
81 "mean": 5.4746383426618195e-06,
82 "std": 5.993504897644281e-06,
83 "per_seed": [
84 1.7064038502212497e-06,
85 2.001432039833162e-05,
86 2.124709681083914e-06,
87 2.3162219804362394e-06,
88 7.144091796362773e-06,
89 2.4120477064570878e-06,
90 5.545186922972789e-07,
91 7.524792636104394e-06
92 ],
93 "n": 8
94 },
95 {
96 "lr": 0.01,
97 "mean": 3.2431818851819116e-05,
98 "std": 3.8885316263480605e-05,
99 "per_seed": [
100 4.220135451760143e-06,
101 8.597759915573988e-06,
102 4.01485067413887e-06,
103 0.00010522234515519813,
104 2.6975987566402182e-05,
105 9.17537763598375e-05,
106 1.1658147741400171e-05,
107 7.0115479502419475e-06
108 ],
109 "n": 8
110 }
111 ],
112 "cfg": {
113 "lr": 0.003,
114 "nearby_tested": [
115 0.001,
116 0.003,
117 0.01
118 ]
119 }
120 },
121 "comparison": {
122 "delta_mean": -1.1057403384029385e-06,
123 "idea_wins": 6,
124 "n_pairs": 8,
125 "per_seed_diffs": [
126 -2.564768351476232e-06,
127 1.1720816473825835e-05,
128 -5.2514428716676775e-06,
129 -1.022920332616195e-05,
130 -8.432962204096839e-07,
131 -3.661040864244569e-06,
132 -1.5170833194133593e-06,
133 3.50009577232413e-06
134 ],
135 "p_value": 0.6253,
136 "mde": 5.428610796522651e-06,
137 "mde_rel_pct": 82.49693611316998,
138 "verdict": "no significant win",
139 "system_worked": false
140 },
141 "mechanism_signature": {
142 "prediction": "unforced quadratic energy remains constant under midpoint skew transition",
143 "trained_model_observed_max_energy_drift": 0.0001373291015625,
144 "trained_model_skew_frobenius_error": 0.0,
145 "predicted_energy_drift": 0.0,
146 "confirmed": true,
147 "sanity": {
148 "max_abs_energy_drift": 0.0006403923034667969,
149 "skew_error": 0.0,
150 "predicted": "zero up to floating point"
151 },
152 "note": "idea uses same input/output widths and hidden width; only recurrent transition differs"
153 },
154 "stage2_config": {
155 "epochs": 15,
156 "batch": 128,
157 "lr_union": [
158 0.001,
159 0.003,
160 0.01
161 ],
162 "seeds": [
163 0,
164 1,
165 2,
166 3,
167 4,
168 5,
169 6,
170 7
171 ]
172 }
173}