{ "bench_version": 1, "track": "tabular", "model": "mlp_tiny", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.01, "epochs": 1, "wd": 0.0001 }, "sweep": [ { "cfg": { "lr": 0.001, "epochs": 1, "wd": 0.0 }, "mean": 236.9449577331543 }, { "cfg": { "lr": 0.001, "epochs": 1, "wd": 0.0001 }, "mean": 236.94502639770508 }, { "cfg": { "lr": 0.003, "epochs": 1, "wd": 0.0 }, "mean": 235.13161849975586 }, { "cfg": { "lr": 0.003, "epochs": 1, "wd": 0.0001 }, "mean": 235.1318359375 }, { "cfg": { "lr": 0.01, "epochs": 1, "wd": 0.0 }, "mean": 228.67240142822266 }, { "cfg": { "lr": 0.01, "epochs": 1, "wd": 0.0001 }, "mean": 228.67166900634766 } ], "full": { "mean": 231.52675819396973, "std": 21.300660878391202, "per_seed": [ 256.47283935546875, 229.34703063964844, 246.06045532226562, 182.8063507080078, 247.07217407226562, 224.0729522705078, 240.7747039794922, 225.60755920410156 ], "n": 8 } }, "idea": { "mean": 489.4525787830353, "std": 991.4184272998954, "per_seed": [ 29.48086166381836, 76.03532409667969, 67.20081329345703, 22.497228622436523, 3082.7841796875, 505.4776916503906, 78.81880950927734, 53.325721740722656 ], "n": 8 }, "comparison": { "delta_mean": 257.92582058906555, "idea_wins": 6, "n_pairs": 8, "per_seed_diffs": [ -226.9919776916504, -153.31170654296875, -178.8596420288086, -160.3091220855713, 2835.7120056152344, 281.4047393798828, -161.95589447021484, -172.2818374633789 ], "p_value": 0.9404, "mde": 881.3323499422643, "mde_rel_pct": 380.66111961188386, "verdict": "no significant win", "system_worked": false }, "mechanism_signature": { "prediction": "larger cross-block certificate predicts larger observed projected Fisher spectral distortion", "predicted_values": [ 1728.5964137448777, 1842.2349990275347, 580.0484882837169, 667.8731875822858, 3872.9491724735503, 1046.0315549770417, 1335.0321904102336, 1300.5161090698366 ], "observed_values": [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], "correlation": 0.0, "confirmed": false }, "idea_sweep": [ { "cfg": { "lr": 0.001, "epochs": 1, "block": 64, "tau": 0.02, "damp": 0.01, "sketch": 3 }, "mean": 228.61152267456055 }, { "cfg": { "lr": 0.003, "epochs": 1, "block": 64, "tau": 0.02, "damp": 0.01, "sketch": 3 }, "mean": 200.8146095275879 }, { "cfg": { "lr": 0.01, "epochs": 1, "block": 64, "tau": 0.02, "damp": 0.01, "sketch": 3 }, "mean": 48.8035569190979 } ], "chosen_idea_cfg": { "lr": 0.01, "epochs": 1, "block": 64, "tau": 0.02, "damp": 0.01, "sketch": 3 }, "protocol_notes": "Tabular matches an optimizer/preconditioning intervention; both systems use identical mlp_tiny and paired seeds. Fisher uses a small per-example gradient sketch and block-local factors." }