Mechanism acceptance gates
Each gate maps a visible mechanism in the paper-inspired workflow to an explicit pass/fail threshold, so it is obvious why the run is or is not considered aligned.
How the mechanism chain works
Lyapunov flow history
| Step | Optimization energy | Full energy | Gradient norm | Lyapunov drop |
|---|
Experiment controls
Run new experiments from this dashboard, load prior runs from the audit log, and validate payload integrity against the latest append-only audit record. You can also inject any TheoryConfig override (including integer search dials and ML search size) before launching a run.
Raw result payload
{
"audit": {
"results_path": "experiment_results.json",
"audit_log_path": "audit_log.jsonl",
"ml_feedback_path": "ml_feedback.json",
"flow_steps": 5
},
"cosmology": {
"lambda_eff": 2.8529604730279186,
"frw_limit_ok": true,
"delta_h": 0.6936269636777679,
"delta_h_dot": 0.34681348183888394,
"hubble_dot": 0.2846789716877078,
"hubble_squared": 1.6616912512229138,
"lambda_E": 1.1739614436629533,
"lambda_geom": 6.664308155411632e-33,
"lambda_grav": 1.6789990293649655
},
"energy_final": 1415.7005498841781,
"energy_initial": 1544.8409972181355,
"fixed_point": {
"stable": false,
"beta_values": {
"beta_E": -0.013999999999999997,
"beta_coh": 0.5750000000000001,
"beta_curv": 0.08250000000000002,
"beta_sc": 0.05050000000000002
},
"couplings": {
"g_E": 0.2,
"g_coh": 1.0,
"g_curv": 0.25,
"g_sc": 0.2
},
"jacobian_eigenvalues": [
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0.2334868534103853,
0.3454807991020865,
-0.07046878165502936
],
"normalized_invariants": {
"epsilon_star": 0.2,
"rho_star": 0.25,
"s_star": 1.0,
"xi_star": 0.2
}
},
"full_energy_final": 1418.0811529206326,
"full_energy_initial": 1546.4824614699985,
"lyapunov_history": [
{
"energy": 1544.8409972181355,
"full_energy": 1546.4824614699985,
"gradient_norm": 75.10567687501697,
"lyapunov_drop": 0.0,
"step": 0
},
{
"energy": 1507.085239802762,
"full_energy": 1507.1037289534781,
"gradient_norm": 122.3268832637283,
"lyapunov_drop": 37.75575741537341,
"step": 1
},
{
"energy": 1476.7633628379888,
"full_energy": 1478.9512776963456,
"gradient_norm": 130.97202474927053,
"lyapunov_drop": 30.32187696477331,
"step": 2
},
{
"energy": 1437.1477738742587,
"full_energy": 1438.164786829627,
"gradient_norm": 239.13182703216114,
"lyapunov_drop": 39.61558896373003,
"step": 3
},
{
"energy": 1415.7005498841781,
"full_energy": 1418.0811529206326,
"gradient_norm": 195.90717102937992,
"lyapunov_drop": 21.4472239900806,
"step": 4
}
],
"matter": {
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"amplitude": -0.1950611903651346,
"kinetic_trace": 1.369759247519878,
"quartic_strength": 0.7802095777592671,
"stress_energy_trace": -0.012128279305932877,
"einstein_residual": 1.1739614436629533
},
"phase": {
"spectral_gap": 0.050250677419714465,
"projector_overlap": 7.373512711365042e-17,
"coherence_variance": 0.0019248472552731617,
"spectral_plateau_error": 0.15786439833912033,
"curvature_energy": 123.55503592227576,
"coherent_phase": true,
"bounded_curvature": true,
"matter_geometry_disjoint": true,
"positive_gap": true,
"suppressed_coherence": true
},
"schema": {
"name": "lovesequation.experiment_result",
"version": 1
},
"universe_mapping": null
}