Reference Benchmark Snapshot¶

This page is generated from benchmarks/results/reference_suite.json. Timing values are local, non-isolated regression evidence unless the metadata states otherwise.

Metadata¶

suite_version: reference_suite_v1
snapshot_date: 2026-06-14
command: PYTHONPATH=.:src python benchmarks/reference_suite.py
backend: python_numpy
python_version: 3.12.3
python_implementation: CPython
numpy_version: 2.4.6
platform: Linux-6.17.0-29-generic-x86_64-with-glibc2.39
executable: /media/anulum/724AA8E84AA8AA75/aaa_God_of_the_Math_Collection/03_CODE/SCPN-PHASE-ORCHESTRATOR/.venv/bin/python
benchmark_evidence_kind: local_regression_non_isolated
isolation_method: none
production_timing_claim: false

Benchmark Records¶

Key	Suite	Acceptance passed	n	n_steps	calls	fixture_count	wall time (s)	steps/s	evidence kind
`auto_binding`	`auto_binding_synthetic_quality`	`n/a`	`n/a`	`n/a`	`n/a`	`4`	`0.1497497190721333`	`26.711235418566833`	`n/a`
`semantic_retrieval`	`semantic_retrieval_ranking_quality`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.060987055068835616`	`49.19076673916987`	`n/a`
`replay_policy`	`replay_policy_candidate_quality`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.08394997590221465`	`107.20670141088837`	`n/a`
`bayesian_posterior`	`bayesian_posterior_fit_quality`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.02769967494532466`	`3465.7446410288485`	`n/a`
`bayesian_backends`	`bayesian_backend_fail_closed`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.005070756888017058`	`591.6276536722634`	`n/a`
`formal_export`	`formal_export_artifact_quality`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.0021901740692555904`	`2282.9235676684957`	`n/a`
`stl_closed_loop`	`stl_closed_loop_plan_quality`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.002579024061560631`	`1163.2307137858288`	`n/a`
`domain_formal_export`	`domain_formal_safety_exports`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.003969701938331127`	`13854.944490649124`	`n/a`
`hybrid_cocompiler`	`hybrid_cocompiler_review_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.0003229530993849039`	`3096.424842816492`	`n/a`
`quantum_target_readiness`	`quantum_target_readiness_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.00043083797208964825`	`4642.116362909262`	`n/a`
`neuromorphic_target_readiness`	`neuromorphic_target_readiness_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.0006596068851649761`	`3032.1090409779067`	`n/a`
`hybrid_target_readiness`	`hybrid_target_readiness_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.00024137296713888645`	`8285.93203168935`	`n/a`
`hybrid_operator_handoff`	`hybrid_operator_handoff_package_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.0002715319860726595`	`7365.6147436892325`	`n/a`
`value_alignment_replay_calibration`	`value_alignment_replay_calibration_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.00038462295196950436`	`7799.846537077853`	`n/a`
`autopoietic_lineage`	`autopoietic_lineage_sandbox_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.001014825887978077`	`4926.953538761138`	`n/a`
`intergenerational_inheritance`	`intergenerational_policy_inheritance_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.0012073030229657888`	`1656.584935144881`	`n/a`
`temporal_causal_hypergraph`	`temporal_causal_hypergraph_experiment_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.004769378108903766`	`419.341883644385`	`n/a`
`morphogenetic_domain_demos`	`morphogenetic_domain_demo_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.3840421619825065`	`7.8116423064420015`	`n/a`
`integrated_information_replay_corpus`	`integrated_information_replay_corpus_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.3208237309008837`	`37.40371688311087`	`n/a`
`evolutionary_supervisor_search`	`evolutionary_supervisor_search`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.008160666096955538`	`2573.319352918308`	`n/a`
`evolutionary_mutation_grammars`	`evolutionary_mutation_grammar_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.1647838270291686`	`121.37113429499227`	`n/a`
`federated_meta_orchestrator`	`federated_meta_orchestrator`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.0009533739648759365`	`3146.7190321170488`	`n/a`
`federated_production_boundary`	`federated_production_boundary_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.0023873220197856426`	`1256.6381808304895`	`n/a`
`federated_deployment_preflight`	`federated_deployment_preflight_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.005430903052911162`	`552.3943202027682`	`n/a`
`topos_semantic_binding`	`topos_semantic_binding_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.11800397699698806`	`50.84574395448676`	`n/a`
`multiverse_counterfactual`	`multiverse_counterfactual_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`13.357837855117396`	`0.2994496596968047`	`n/a`
`hybrid_entanglement_order`	`hybrid_entanglement_order_parameter_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.05441908515058458`	`147.00724898007704`	`n/a`
`self_model_digital_twin`	`self_model_digital_twin`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.01088385796174407`	`367.5167403010674`	`n/a`
`strange_loop_drift_scenarios`	`strange_loop_drift_scenario_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.09034964512102306`	`1770.8979353010243`	`n/a`
`information_geometry_control`	`information_geometry_control_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`1.9279040680266917`	`2.074792032621314`	`n/a`
`sheaf_obstruction_domains`	`sheaf_obstruction_domain_gate`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.30612086597830057`	`19.60010135482013`	`n/a`
`meta_transfer_corpus`	`meta_transfer_audit_corpus_quality`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.0032466729171574116`	`1848.0457234519433`	`n/a`
`meta_transfer`	`meta_transfer_package_manifest_quality`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.0005292121786624193`	`7558.405042964008`	`n/a`
`plugin_ecosystem`	`plugin_ecosystem_catalog_quality`	`1`	`n/a`	`n/a`	`n/a`	`n/a`	`0.00033764494583010674`	`8885.073024340527`	`n/a`
`chimera_polyglot`	`chimera_polyglot_parity_gate`	`1`	`32`	`n/a`	`1`	`n/a`	`0.4488149988465011`	`8.91235812145404`	`n/a`
`dimension_polyglot`	`dimension_polyglot_parity_gate`	`1`	`n/a`	`n/a`	`1`	`n/a`	`0.13092619297094643`	`30.551564276276114`	`n/a`
`embedding_polyglot`	`embedding_polyglot_parity_gate`	`1`	`160`	`n/a`	`1`	`n/a`	`0.2652903499547392`	`2412.4511129379166`	`local_regression_non_isolated`
`entropy_production_polyglot`	`entropy_production_polyglot_parity_gate`	`1`	`16`	`n/a`	`1`	`n/a`	`0.07693091011606157`	`831.9152848113536`	`local_regression_non_isolated`
`hodge_polyglot`	`hodge_polyglot_parity_gate`	`1`	`10`	`n/a`	`1`	`n/a`	`0.04497802606783807`	`889.3231539256532`	`local_regression_non_isolated`
`itpc_polyglot`	`itpc_polyglot_parity_gate`	`1`	`n/a`	`n/a`	`1`	`n/a`	`0.954210160067305`	`4.191948658058578`	`n/a`
`lyapunov_polyglot`	`lyapunov_polyglot_parity_gate`	`1`	`4`	`120`	`1`	`n/a`	`0.14907890395261347`	`26.831428820213546`	`n/a`
`npe_polyglot`	`npe_polyglot_parity_gate`	`1`	`20`	`n/a`	`1`	`n/a`	`1.9067637159023434`	`2.0977953202277444`	`n/a`
`order_parameter_polyglot`	`order_parameter_polyglot_parity_gate`	`1`	`64`	`n/a`	`1`	`n/a`	`4.576152347959578`	`0.8740967729764343`	`n/a`
`recurrence_polyglot`	`recurrence_polyglot_parity_gate`	`1`	`n/a`	`n/a`	`1`	`n/a`	`0.938931792974472`	`4.260160354489938`	`n/a`
`spectral_polyglot`	`spectral_polyglot_parity_gate`	`1`	`10`	`n/a`	`1`	`n/a`	`0.007605358026921749`	`394.45874729111773`	`n/a`
`spatial_modulator_polyglot`	`spatial_modulator_polyglot_parity_gate`	`1`	`10`	`n/a`	`1`	`n/a`	`0.000693898880854249`	`1441.132170106564`	`local_regression_non_isolated`
`upde_doppler_polyglot`	`upde_doppler_polyglot_gate`	`1`	`8`	`8`	`1`	`n/a`	`0.07066615484654903`	`113.20836710829863`	`local_regression_non_isolated`
`upde_moving_frame_polyglot`	`upde_moving_frame_polyglot_gate`	`1`	`8`	`8`	`1`	`n/a`	`0.06317077297717333`	`126.64084390562688`	`local_regression_non_isolated`
`upde_time_varying_omega_polyglot`	`upde_time_varying_omega_polyglot_gate`	`1`	`8`	`8`	`1`	`n/a`	`0.08418226707726717`	`95.03189065527488`	`local_regression_non_isolated`
`pha_c_handoff_polyglot`	`pha_c_handoff_polyglot_parity_gate`	`1`	`8`	`n/a`	`3`	`n/a`	`0.015051242895424366`	`332.19847920466543`	`local_regression_non_isolated`
`pha_c_timeline_polyglot`	`pha_c_timeline_polyglot_parity_gate`	`1`	`8`	`n/a`	`3`	`n/a`	`0.0423427599016577`	`118.08394189733136`	`local_regression_non_isolated`
`pha_c_acceptance_polyglot`	`pha_c_acceptance_polyglot_gate`	`1`	`8`	`n/a`	`2`	`n/a`	`0.4504243228584528`	`11.100643873468762`	`local_regression_non_isolated`
`transfer_entropy_polyglot`	`transfer_entropy_polyglot_parity_gate`	`1`	`160`	`n/a`	`1`	`n/a`	`0.6910253060050309`	`926.1600037486046`	`local_regression_non_isolated`
`winding_polyglot`	`winding_polyglot_parity_gate`	`1`	`n/a`	`n/a`	`1`	`n/a`	`0.06844071880914271`	`58.444739763102206`	`n/a`
`kuramoto`	`kuramoto_reference_strogatz_2000`	`1`	`n/a`	`1000`	`n/a`	`n/a`	`0.10835565580055118`	`9228.867589899384`	`n/a`
`stuart_landau`	`stuart_landau_reference_pikovsky_2001`	`1`	`n/a`	`1000`	`n/a`	`n/a`	`0.3658892121165991`	`2733.0677343975008`	`n/a`
`petri_reachability`	`petri_net_reachability`	`1`	`n/a`	`5000`	`n/a`	`n/a`	`0.11639967001974583`	`42955.44823410418`	`n/a`

How to read this snapshot¶

This is an evidence surface for automation trend lines, not a standalone proof of production readiness. Individual rows show execution-time behavior for configured benchmarks under a single local environment and single Python backend unless specifically noted by evidence kind.

For release decisions, compare: - evidence kind and isolation method, - suite_version and command metadata, - and consistency of pass/fail over repeated snapshots.

Because timing and throughput are environment-sensitive, teams should use these values as directional indicators and pair them with the benchmark provenance record (command and runtime metadata) before capacity or SLO claims are made.

Scope and refresh rule¶

This page is a directional evidence snapshot and should not be copied as a production guarantee.
Refresh the snapshot with matching command and environment metadata whenever dependency stacks or benchmark baselines change.
Keep the provenance fields visible with any pull request that updates benchmark numbers or adds new test matrices.