{ "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.002 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.00028059784381184727 }, { "cfg": { "lr": 0.002 }, "mean": 0.0001786892862583045 }, { "cfg": { "lr": 0.003 }, "mean": 0.00018342551447858568 } ], "full": { "mean": 0.000164712047080684, "std": 4.489169459326852e-05, "per_seed": [ 0.00020323635544627905, 0.00021873260266147554, 0.00013271479110699147, 0.0001600733958184719, 0.0001428304531145841, 0.00023414976021740586, 0.00011625964543782175, 0.00010969937284244224 ], "n": 8 } }, "idea": { "mean": 0.000707463565049693, "std": 5.862115619486818e-05, "per_seed": [ 0.000648840912617743, 0.0008204824407584965, 0.0006285406416282058, 0.0007532027084380388, 0.0007002238417044282, 0.0007392585976049304, 0.0007051959400996566, 0.0006639634375460446 ], "n": 8 }, "comparison": { "delta_mean": 0.000542751517969009, "idea_wins": 0, "n_pairs": 8, "per_seed_diffs": [ 0.00044560455717146397, 0.000601749838097021, 0.0004958258505212143, 0.0005931293126195669, 0.0005573933885898441, 0.0005051088373875245, 0.0005889362946618348, 0.0005542640647036023 ], "p_value": 0.0081, "mde": 4.639948748729596e-05, "mde_rel_pct": 28.17006303404585, "verdict": "idea worse (significant)", "system_worked": false }, "mechanism_signature": { "idea_sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.0013710275816265494 }, { "cfg": { "lr": 0.002 }, "mean": 0.0008818475471343845 }, { "cfg": { "lr": 0.003 }, "mean": 0.000712766675860621 } ], "predicted": "energy should not increase under sufficiently small Euler steps", "observed_energy_nonincreasing_fraction": 1.0, "observed_energy_first_last": [ -2.293245553970337, -3.0686049461364746 ], "observed_grad_norm_first_last": [ 1.0507688522338867, 0.8547213077545166 ], "predicted_boundary_eta_L": 2.0, "observed_local_energy_boundary": "not estimated (learned Hessian unavailable in budget)", "confirmed": true }, "protocol_notes": { "track_choice": "dynamics matches stability/control/Lyapunov structure", "shared_lr_union": [ 0.001, 0.002, 0.003 ], "epochs": 18, "batch": 128, "baseline_architecture": "matched VectorCell recurrent scaffold (vector field)", "idea_architecture": "matched recurrent hidden width with scalar energy gradient" } }