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_cfg": {
  9      "lr": 0.01
 10    },
 11    "sweep": [
 12      {
 13        "cfg": {
 14          "lr": 0.001
 15        },
 16        "mean": 0.0061489523795899
 17      },
 18      {
 19        "cfg": {
 20          "lr": 0.003
 21        },
 22        "mean": 0.0013683813158422709
 23      },
 24      {
 25        "cfg": {
 26          "lr": 0.01
 27        },
 28        "mean": 0.0007866571540944278
 29      }
 30    ],
 31    "full": {
 32      "mean": 0.0006869791614008136,
 33      "std": 0.0001962519169577577,
 34      "per_seed": [
 35        0.0008465873543173075,
 36        0.0005530674243345857,
 37        0.0006530178943648934,
 38        0.0010939559433609247,
 39        0.0006159734330140054,
 40        0.0003910730010829866,
 41        0.0006219872157089412,
 42        0.0007201710250228643
 43      ],
 44      "n": 8
 45    }
 46  },
 47  "idea": {
 48    "mean": 0.000751409461372532,
 49    "std": 0.0002372904792985927,
 50    "per_seed": [
 51      0.001134159043431282,
 52      0.0006296231294982135,
 53      0.0008904425776563585,
 54      0.0010553350439295173,
 55      0.0005659241578541696,
 56      0.0003978781751357019,
 57      0.0006218505441211164,
 58      0.0007160630193538964
 59    ],
 60    "n": 8,
 61    "best_cfg": {
 62      "lr": 0.01
 63    }
 64  },
 65  "comparison": {
 66    "delta_mean": 6.443029997171834e-05,
 67    "idea_wins": 4,
 68    "n_pairs": 8,
 69    "per_seed_diffs": [
 70      0.00028757168911397457,
 71      7.655570516362786e-05,
 72      0.00023742468329146504,
 73      -3.862089943140745e-05,
 74      -5.0049275159835815e-05,
 75      6.8051740527153015e-06,
 76      -1.3667158782482147e-07,
 77      -4.108005668967962e-06
 78    ],
 79    "p_value": 0.2782,
 80    "mde": 0.00010753523221065781,
 81    "mde_rel_pct": 15.6533470376865,
 82    "verdict": "no significant win",
 83    "system_worked": false
 84  },
 85  "mechanism_signature": {
 86    "low_q25_sigma": 0.07731843180954456,
 87    "high_q75_sigma": 0.1157134473323822,
 88    "low_excitation_train_mse": 0.0012986520305275917,
 89    "high_excitation_train_mse": 0.0005935525405220687,
 90    "observed_error_gap_low_minus_high": 0.000705099490005523,
 91    "prediction": "low-excitation windows have higher residual error",
 92    "confirmed": true
 93  },
 94  "idea_sweep": [
 95    {
 96      "cfg": {
 97        "lr": 0.001
 98      },
 99      "mean": 0.00511605893552769,
100      "std": 0.0024142004953189313,
101      "per_seed": [
102        0.0015621563652530313,
103        0.005496674682945013,
104        0.007589519023895264,
105        0.006733444053679705,
106        0.0014989599585533142,
107        0.0036795316264033318,
108        0.0063422685489058495,
109        0.00802591722458601
110      ],
111      "n": 8
112    },
113    {
114      "cfg": {
115        "lr": 0.003
116      },
117      "mean": 0.001308875231188722,
118      "std": 0.00023694831535078266,
119      "per_seed": [
120        0.0010585704585537314,
121        0.0011665996862575412,
122        0.001426042872481048,
123        0.0014445277629420161,
124        0.0009118119487538934,
125        0.0012852930231019855,
126        0.0014918958768248558,
127        0.0016862602205947042
128      ],
129      "n": 8
130    },
131    {
132      "cfg": {
133        "lr": 0.01
134      },
135      "mean": 0.000751409461372532,
136      "std": 0.0002372904792985927,
137      "per_seed": [
138        0.001134159043431282,
139        0.0006296231294982135,
140        0.0008904425776563585,
141        0.0010553350439295173,
142        0.0005659241578541696,
143        0.0003978781751357019,
144        0.0006218505441211164,
145        0.0007160630193538964
146      ],
147      "n": 8
148    }
149  ],
150  "method": {
151    "description": "Per-window latent-frame consistency loss weighted by normalized smallest Jacobian singular value.",
152    "tau": 0.2,
153    "floor": 0.15,
154    "epochs": 15,
155    "batch": 128
156  },
157  "protocol_notes": "Matched dynamics track: controlled pendulum rollout and recurrent GRU. Baseline and idea share rnn_small, Adam, epochs, batch, data, and the union learning-rate grid; idea was evaluated at baseline-best and two nearby settings."
158}