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Resonant Fractal Nature Theory — a mathematical framework for coherent patterns on graph-coupled networks.

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© 2026 TNFR project — MIT licensed.DOI 10.5281/zenodo.17602860
docs
grammar
PHYSICS_VERIFICATION.md
API_CONTRACTS.mdCANONICAL_OZ_SEQUENCES.mdEMPIRICAL_CONFRONTATION_EEG.mdREADME.mdSTRUCTURAL_FIELDS_TETRAD.mdSTRUCTURAL_INTERFACE_THEORY.md
theory
APPLIED_STRUCTURAL_ANALYSIS.mdCATALOG_TYPE_HYGIENE_PROGRAMME.mdDISSIPATIVE_AND_OPEN_SYSTEMS.mdEMERGENT_ONTOLOGY.mdEXTENDED_FIELDS_AND_DERIVED_QUANTITIES.mdFUNDAMENTAL_THEORY.mdGAUGE_SYMMETRY_AND_UNIFICATION.mdGLOSSARY.mdMATHEMATICAL_DYNAMICS_BASIS.mdMINIMAL_STRUCTURAL_DEGREES.mdNUCLEUS_A_PRIME_LADDER_ATLAS.mdNUCLEUS_B_EQUIVARIANCE_OBSTRUCTIONS.mdPHYSICAL_REGIME_CORRESPONDENCES.mdREADME.mdREMESH_INFINITY_DERIVATION.mdSTRUCTURAL_CONSERVATION_THEOREM.mdSTRUCTURAL_OPERATORS.mdSTRUCTURAL_STABILITY_AND_DYNAMICS.mdTNFR_BSD_RESEARCH_NOTES.mdTNFR_HODGE_RESEARCH_NOTES.mdTNFR_NAVIER_STOKES_RESEARCH_NOTES.mdTNFR_NUMBER_THEORY.mdTNFR_P_VS_NP_RESEARCH_NOTES.mdTNFR_RIEMANN_RESEARCH_NOTES.mdTNFR_VARIATIONAL_PRINCIPLE.mdTNFR_YANG_MILLS_RESEARCH_NOTES.mdTNFR.pdfUNIFIED_GRAMMAR_RULES.md
factorization-lab
analysis
analyze_patterns.pycertificate_manifest.py
benchmarks
benchmark_analysis.pybenchmark_expansion_suite.pyfull_spectrum_factorization.pypaley_gap_extended.pypaley_gap_smoke.pytest_benchmark_suite.py
demos
experiment_contexts
exp_0b1663cd19b7.jsonexp_0bf0054b7474.jsonexp_75a4c8ca616a.jsonexp_848ee0fd1857.jsonexp_f6fe00562193.jsonexp_fdf3da424e1e.json
failure_telemetry_batch.pyfeedback_integration_demo.pyintegration_demo_snapshots.dbseed_management_integration_demo.pysnapshot_integration_demo.pytrajectory_143.jsontrajectory_77.jsontrajectory_89.jsontrajectory_91.jsontrajectory_97.json
docs
FACTORING_PLAYBOOK.mdFALSE_POSITIVE_TEST_SUITE.mdOPERATOR_CERTIFICATES.mdROADMAP.mdSPECTRAL_ROUTE.md
experiment_contexts
exp_cebe1d9e7d8e.json
notebooks
spectral_history.ipynb
scripts
run_false_positive_tests.py
tests
run_false_positive_test_suite.pytest_cli.pytest_false_positive_methodology.pytest_false_positive_verifier.pytest_feedback_integration.pytest_partitioning.pytest_seed_management.pytest_self_opt_support.pytest_snapshot_system.pytest_spectral_paley.pytest_verification_robustness.py
tnfr_factorization
__init__.pyapi.pycli.pyfailure_telemetry.pyfeedback_adapter.pyfeedback_integration.pypartitioning.pyself_opt_support.pyspectral_paley.py
demo_snapshots.dbLICENSE_SNAPSHOT.mdPACKAGE_SUMMARY.mdREADME.mdseed_management.pysnapshot_system.pytest_certificate_hashing.pytest_installation.pyverification_trajectory_77.json
benchmarks
analyze_tetrad_universality.pyb0star_alpha_canonical_product_graphs.pybenchmark_optimization_tracks.pybenchmark_utils.pyboundary_vibration.pybridge_primes_riemann.pychiral_involution.pycli_utils.pycoherence_projector_sense_index.pycommutant_bridge.pycomposition_arithmetic.pyconfinement_zones_test.pyconservation_law_validation.pydirected_paley_bridge.pyemergent_arithmetic_pulse.pyemergent_atom_dynamics.pyemergent_atomic_shells.pyemergent_base_dimension.pyemergent_dimension_dynamics.pyemergent_fractal_pulse.pyemergent_fractal_simplex_dimension.pyemergent_integers_symmetry.pyemergent_musical_nfr.pyemergent_nfr_geometry.pyemergent_nfr_where.pyemergent_rationals.pyemergent_rhythm.pyemergent_screening.pyemergent_shell_cardinals.pyemergent_shell_ordering.pyemergent_simplex_dimension.pyemergent_substrate_symmetry.pyequivariance_wall.pyexternal_phase_gate_validation.pyfield_methods_battery.pygolden_residue_remesh_bridge.pyintegrated_force_regime_study.pyinverse_spectrum_to_symmetry.pyk_phi_safety_demo.pykuramoto_farey_bridge.pymissing_piece_bridge.pymultichannel_interface_benchmark.pynavier_stokes_recipe_bridge.pynodal_propagator_residue_bridge.pyns_moment_hierarchy_cascade.pyoperational_irreducibility.pypaley_bridge.pyphase_curvature_investigation.pyphase_wall.pyphi_s_confinement_investigation.pyprimes_as_consequence.pypulse_phase_coherence_budget.pyREADME.mdremesh_infinity_riemann_baseline.pyremesh_infinity_riemann_composed.pyremesh_infinity_riemann_modified_graph.pyremesh_infinity_riemann_operator.pyremesh_infinity_riemann_spectral_basis.pyremesh_infinity_riemann_spectral_robustness.pyremesh_infinity_riemann_spectral.pyresidue_phase_vs_riemann.pystructural_interface_benchmark.pytemporal_interface_benchmark.pytetrad_results_aggregate.pyu2_destabilization_irreversibility.pyuniversality_clusters.pyxi_c_fast_experiment.py
primality-test
benchmarks
comprehensive_benchmark.py
docs
ADVANCED_INTEGRATION.mdmathematical_foundation.mdperformance_analysis.md
examples
advanced_examples.pybasic_usage.py
tnfr_primality
__init__.py__main__.pyadvanced_cli.pyadvanced_core.pycli.pyconstants.pycore.pyoptimized.py
MANIFEST.inPACKAGE_SUMMARY.mdREADME.mdRELEASE_NOTES_v1.0.mdsetup.pytest_installation.py
tests
core_physics
__init__.pytest_conservation_laws.pytest_delta_nfr_computation_paths.pytest_delta_nfr.pytest_dispersion_coherence_sign_invariance.pytest_emergent_constants_guard.pytest_lyapunov_operators.pytest_nodal_equation.pytest_structural_triad.py
data
replay_manifests
sample_run
_manifest_summary.json_manifest.json_partition_files.txt.gz
self_opt_validation
seed_alpha
paley.json
seed_beta
integration.json
seed_gamma
unknown.json
self_optimization
test_run
partitioned
test_run
test_run_p0.jsontest_run_p1.json
_manifest_summary.json_manifest.json
engines
test_pattern_discovery_manifest.pytest_self_optimization_engine.py
mathematics
__init__.pytest_autodiff.pytest_backends.pytest_dissipative_dynamics.pytest_epi.pytest_factory_patterns.pytest_metrics.pytest_navier_stokes_refounded.pytest_number_theory_canonical.pytest_operators.pytest_residue_networks.pytest_riemann_nodal_pulse.pytest_riemann_pulse_coherence.pytest_spaces.pytest_transforms.pytest_validator.py
operators
test_canonical_operators_modern.pytest_grammar_canon.pytest_grammar_canonical_consistency.pytest_grammar_dynamics.pytest_operator_contracts.pytest_operator_strategies.py
parallel
test_fractal_partition_manifest.py
physics
test_conservation_gauge_unification.pytest_dissipative_conservation.pytest_emergent_chemistry.pytest_field_cache_invalidation.pytest_gauge.pytest_phase_transition.pytest_signatures.pytest_spectral_conservation.pytest_structural_diffusion.pytest_structural_integrity.pytest_symplectic_substrate.pytest_tetrad_bounds.pytest_variational.pytest_yang_mills_closure.pytest_yang_mills_derivability.pytest_yang_mills_scaling.pytest_yang_mills_structural_gap.pytest_yang_mills_u6_sweep.py
scripts
test_run_self_opt_validation.pytest_run_self_optimization.py
sdk
__init__.pytest_simple_advanced.py
__init__.pyconftest.pyREADME.mdtest_breast_cancer_phase_gate_demo.pytest_classical_mechanics.pytest_distributed_fft.pytest_external_phase_gate_validation.pytest_factorization_entrypoint.pytest_multichannel_interface.pytest_nodal_optimizer.pytest_phase_gate_api.pytest_replay_register_manifest.pytest_signal_confrontation.pytest_structural_interface_api.pytest_structural_interface_baselines.pytest_structural_interface_benchmark.pytest_temporal_interface.pytest_vectorized_coherence_length_regression.pytest_wine_quality_phase_gate_demo.pyutils.py
examples
01_foundations
01_hello_world.py02_musical_resonance.py03_network_formation.py04_operator_sequences.py05_coherence_evolution.py06_network_topologies.py07_phase_transitions.py08_emergent_phenomena.py09_visualization_suite.py10_simplified_sdk_showcase.py
02_physics_regimes
11_classical_limit_comparison.py115_operator_contract_audit.py12_classical_mechanics_demo.py13_quantum_mechanics_demo.py14_uncertainty_and_interference.py15_train_crossing_demo.py17_conservation_law_demo.py26_gauge_structure_demo.py27_variational_principle_demo.py28_dissipative_systems_demo.py29_lyapunov_stability_demo.py30_self_optimization_demo.py31_mathematical_constants_basis.py33_complex_field_unification.py34_conservation_protocol_suite.py35_tetrad_irreducibility.py36_grammar_violation_detector.py37_operator_tetrad_synergy.py38_grammar_energy_landscape.py39_nodal_equation_decomposition.py
03_riemann_zeta
157_nodal_pulse_phase_attack.py41_von_mangoldt_zeta_demo.py42_riemann_zeros_as_resonances.py43_prime_ladder_hamiltonian_demo.py44_weil_explicit_formula_demo.py45_li_keiper_demo.py46_weil_tnfr_positivity_demo.py47_alpha_sweep_demo.py48_admissible_family_sweep_demo.py49_nodeaware_gauge_sweep_demo.py50_uniform_coercivity_demo.py51_adaptive_coercivity_demo.py52_paley_gap_coercivity_demo.py53_lyapunov_spectral_positivity_demo.py54_hilbert_polya_demo.py55_structural_zero_density_demo.py56_spectral_emergence_demo.py57_admissible_rescaling_demo.py58_oscillatory_correction_demo.py
04_riemann_L_twisted
59_dirichlet_l_function_demo.py60_dirichlet_l_continuation_demo.py61_dirichlet_l_hamiltonian_demo.py62_dirichlet_weil_explicit_formula_demo.py63_dirichlet_li_keiper_demo.py64_twisted_weil_positivity_demo.py65_twisted_alpha_sweep_demo.py66_twisted_admissible_family_sweep_demo.py67_twisted_nodeaware_gauge_sweep_demo.py68_twisted_hermite_family_demo.py69_twisted_coercivity_uniform_demo.py70_twisted_paley_gap_coercivity_demo.py71_twisted_lyapunov_spectral_demo.py72_twisted_hilbert_polya_demo.py73_twisted_structural_zero_density_demo.py74_twisted_spectral_emergence_demo.py75_twisted_admissible_rescaling_demo.py76_twisted_oscillatory_correction_demo.py
05_type_hygiene
77_remesh_infinity_residue_split_demo.py78_nuf_type_signature_demo.py79_epi_type_signature_demo.py80_phi_type_signature_demo.py81_dnfr_type_signature_demo.py82_remesh_window_type_signature_demo.py83_delta_phi_max_type_signature_demo.py84_coupling_weights_type_signature_demo.py85_tetrad_closure_signature_demo.py86_currents_closure_signature_demo.py87_aggregates_closure_signature_demo.py88_urules_consistency_signature_demo.py89_operator_catalog_discipline_signature_demo.py
06_navier_stokes
158_navier_stokes_two_face_refounded.py
07_number_theory
100_prime_families_orbits.py101_numbers_as_coupled_network.py102_nodal_flow_primes_equilibria.py116_nuf_emergent_prime_visibility.py146_primality_grammatical_inertness.py147_numbers_as_free_monoid_words.py148_capacity_arm_carries_von_mangoldt.py149_p14_is_the_capacity_arm_operator.py153_structural_frequency_rank_cyclotomy.py40_arithmetic_number_theory.py94_generative_number_construction.py95_primes_from_spectral_waves.py96_spectral_vibration_of_coherence.py97_goldbach_additive_multiplicative.pyemergent_chemistry_particles_demo.py
08_emergent_geometry
103_emergent_substrate_meets_riemann.py106_per_node_polarization_geometry.py107_orthogonal_structure_emergent_geometry.py108_emergent_field_generating_structure.py112_structure_predicts_coherence_flow.py113_overdamped_projection_bridge.py114_substrate_conserved_quantities.py117_emergent_geometry_residue_graph.py118_emergent_vs_classical_operator.py119_phase_sector_directed_residue.py120_symmetry_wall_substrate_vs_spectrum.py121_canonical_symmetry_break_negative.py122_factorization_phase_sector.py123_symmetry_sector_decomposition.py124_emergent_metric_fractal_consistency.py125_node_is_the_emergent_substrate.py126_two_layers_base_fiber.py127_base_is_emergent_not_imposed.py128_base_substrate_coemergence.py129_spectral_gap_base_fiber_clock.py130_operators_break_substrate_charges.py131_coemergent_loop_convergence.py132_geometric_phase_holonomy.py133_psi_topological_defects.py134_spectral_dimension_heat_kernel.py135_arrow_of_time_h_theorem.py136_heat_kernel_coefficients.py137_synchronization_transition.py138_structure_frequency_synchronization.py139_grammar_formal_language.py140_grammar_automaton.py141_grammar_rule_decomposition.py142_grammar_operator_quotient.py143_glyphic_function_sublanguage.py144_branching_combinator.py145_syntactic_monoid_starfree.py150_emergent_grammatical_pattern_parry.py151_grammar_in_emergent_geometry.py152_operator_contract_tetrahedron.py154_conductor_annotated_qr_spectrum.py155_ontological_position_of_numbers.py156_emergence_directness_law.py98_emergent_symplectic_substrate.py99_structural_diffusion.pyunified_fields_showcase.py
09_millennium
109_p_vs_np_coherence_synthesis.py110_bsd_rank_structural_pressure.py111_hodge_discrete_and_honest_gap.py
10_applications
159_empirical_confrontation_pipeline.py90_phase_gate_monitor_demo.py91_breast_cancer_phase_gate_demo.py92_wine_quality_phase_gate_demo.py93_structural_interface_demo.pypytorch_cuda_demo.py
README.md
scripts
replay
__init__.pyregister_manifest.py
__init__.pyREADME.mdrebuild_failure_manifest.pyrun_reproducible_benchmarks.pyrun_self_opt_validation.pyrun_self_optimization.pytnfr_is_prime.pyvalidate_conservation_law.pyverify_internal_references.py
src
core
__init__.pyevaluation.py
tnfr
backends
__init__.pyjax_backend.pynumpy_backend.pyoptimized_numpy.pyREADME.mdtorch_backend.py
cli
__init__.py__init__.pyiarguments.pyarguments.pyiexecution.pyexecution.pyiinteractive_validator.pyREADME.mdutils.pyutils.pyi
compat
__init__.pydataclass.pyjsonschema_stub.pymatplotlib_stub.pynumpy_stub.pyREADME.md
config
__init__.py__init__.pyiconstants.pyconstants.pyidefaults_core.pydefaults_init.pydefaults_metric.pydefaults.pyfeature_flags.pyfeature_flags.pyiglyph_constants.pyoperator_names.pyoperator_names.pyiphysics_derivation.pyprecision_modes.pypresets.pypresets.pyiREADME.mdsecurity.pythresholds.pytnfr_config.py
constants
__init__.py__init__.pyialiases.pyaliases.pyicanonical.pymetric.pymetric.pyioperational.py
core
__init__.pycontainer.pydefault_implementations.pyexceptions.pyinterfaces.pyREADME.md
dynamics
__init__.py__init__.pyiadaptation.pyadaptation.pyiadaptive_sequences.pyadaptive_sequences.pyiadelic.pyadvanced_cache_optimizer.pyadvanced_fft_arithmetic.pyaliases.pyaliases.pyibifurcation.pycache_aware_fft_engine.pycanonical.pycanonical.pyicomputational_hub.pycoordination.pycoordination.pyidistributed_fft.pydnfr.pydnfr.pyidynamic_limits.pyemergent_centralization.pyemergent_integration_engine.pyfeedback.pyfeedback.pyifft_backend.pyfft_cache_coordinator.pyfft_dispatchers.pyfft_engine.pyfft_workers.pyfused_dnfr.pyhomeostasis.pyhomeostasis.pyiintegrators.pyintegrators.pyilearning.pylearning.pyimetabolism.pymulti_modal_cache.pynbody_tnfr.pynbody.pynodal_optimizer.pyoptimization_orchestrator.pypropagation.pyREADME.mdruntime.pyruntime.pyisampling.pysampling.pyiselectors.pyselectors.pyiself_optimizing_engine.pyspectral_structural_fusion.pystructural_cache.pystructural_clip.pysymplectic.pyunified_backend.pyunified_mathematical_cache_orchestrator.py
engines
computation
__init__.pyfft_engine.pyunified_fft_engine.pyunified_gpu_system.py
constants
__init__.pycanonical.pyoperational.py
integration
__init__.pyemergent_integration.py
pattern_discovery
__init__.pymathematical_patterns.pymulti_modal_cache.py
self_optimization
__init__.pyengine.py
__init__.pyREADME.md
errors
__init__.pycontextual.py
factorization
__init__.py
flatten
README.md
gamma
README.md
glyph_history
README.md
glyph_runtime
README.md
immutable
README.md
initialization
README.md
io
README.md
math
__init__.pyfields_symbolic.pygrammar_validators.pyoptimizer.pyREADME.mdsymbolic.py
mathematics
__init__.pybackend.pybackend.pyidynamics.pydynamics.pyiepi.pyepi.pyigenerators.pygenerators.pyiliouville.pymetrics.pymetrics.pyinumber_theory.pyoperators_factory.pyoperators_factory.pyioperators.pyoperators.pyioptimized_primality.pyprojection.pyprojection.pyiREADME.mdruntime.pyruntime.pyispaces.pyspaces.pyispectral.pytransforms.pytransforms.pyiunified_cache.pyunified_numerical.pyzeta.py
metrics
__init__.py__init__.pyibuffer_cache.pybuffer_cache.pyicache_utils.pycoherence.pycoherence.pyicommon.pycommon.pyicore.pycore.pyidiagnosis.pydiagnosis.pyiemergence.pyexport.pyexport.pyiglyph_timing.pyglyph_timing.pyilearning_metrics.pylearning_metrics.pyilocal_coherence.pyphase_coherence.pyphase_compatibility.pyREADME.mdreporting.pyreporting.pyisense_index.pysense_index.pyitelemetry.pytetrad.pytrig_cache.pytrig_cache.pyitrig.pytrig.pyi
multiscale
__init__.pyhierarchical.pyREADME.md
navier_stokes
__init__.pyconservative_face.pyoperator.py
node
README.md
observers
README.md
operators
network_analysis
__init__.pysource_detection.py
postconditions
__init__.pymutation.py
preconditions
__init__.pycoherence.pydissonance.pyemission.pymutation.pyreception.pyresonance.py
strategies
__init__.pydefaults.pygpu_strategies.pystrategy.py
__init__.py__init__.pyialgebra.pycanonical_patterns.pycascade.pycoherence.pycontraction.pycoupling.pycycle_detection.pydefinitions_base.pydefinitions.pydefinitions.pyidissonance.pyemission.pyexpansion.pygrammar_application.pygrammar_canon.pygrammar_context.pygrammar_core.pygrammar_dynamics.pygrammar_error_factory.pygrammar_memoization.pygrammar_patterns.pygrammar_telemetry.pygrammar_types.pygrammar_u6.pygrammar_validate.pygrammar.pygrammar.pyihamiltonian.pyhealth_analyzer.pyintrospection.pyjitter.pyjitter.pyilifecycle.pymetabolism.pymetrics_basic.pymetrics_core.pymetrics_network.pymetrics_structural.pymetrics_u6.pymetrics.pymutation.pynodal_equation.pyoperator_contracts.pypattern_detection.pypatterns.pyREADME.mdreception.pyrecursivity.pyregistry.pyregistry.pyiremesh.pyremesh.pyiresonance.pyself_organization.pysilence.pystructural_units.pytransition.py
parallel
__init__.pyauto_scaler.pydistributed.pyengine.pymonitoring.pypartitioner.pyREADME.md
performance
guardrails.py
physics
__init__.py_helpers.pycalibration.pycanonical.pycell.pyclassical_mechanics.pyconservation_gauge_unification.pyconservation.pydissipative_conservation.pyemergent_chemistry.pyemergent_particles.pyextended.pyfields.pygauge.pyintegrity.pyinteractions.pylife.pylyapunov.pypatterns.pyphase_transition.pyquantum_mechanics.pyREADME.mdsignatures.pyspectral_conservation.pyspectral_metrics.pystructural_diffusion.pysymplectic_substrate.pytelemetry.pyunified.pyvariational.pyvectorized_ops.py
primality
__init__.py
recipes
__init__.pycookbook.pyREADME.md
riemann
__init__.pyadmissible_family_sweep.pyadmissible_rescaling.pyaggregates_closure_signature.pyalpha_sweep.pyanalytic_continuation_dirichlet.pyanalytic_continuation.pycoercivity_uniform.pycoupling_weights_type_signature.pycurrents_closure_signature.pydelta_phi_max_type_signature.pydirichlet_l.pydnfr_type_signature.pyepi_type_signature.pyhilbert_polya.pyli_keiper.pylyapunov_spectral_positivity.pynodal_pulse.pynodeaware_gauge_sweep.pynuf_type_signature.pyoperator_catalog_discipline_signature.pyoperator.pyoscillatory_correction.pypaley_gap_coercivity.pyphi_type_signature.pyprime_ladder_hamiltonian.pypulse_coherence.pyremesh_infinity_residue_split.pyremesh_window_type_signature.pyspectral_emergence.pystructural_zero_density.pytelemetry.pytetrad_closure_signature.pytwisted_admissible_family_sweep.pytwisted_admissible_rescaling.pytwisted_alpha_sweep.pytwisted_coercivity_uniform.pytwisted_hermite_family.pytwisted_hilbert_polya.pytwisted_li_keiper.pytwisted_lyapunov_spectral_positivity.pytwisted_nodeaware_gauge_sweep.pytwisted_oscillatory_correction.pytwisted_paley_gap_coercivity.pytwisted_prime_ladder_hamiltonian.pytwisted_spectral_emergence.pytwisted_structural_zero_density.pytwisted_weil_explicit_formula.pytwisted_weil_positivity.pyurules_consistency_signature.pyvon_mangoldt.pyweil_explicit_formula.pyweil_positivity.py
schemas
__init__.pygrammar.jsonREADME.md
sdk
__init__.py__init__.pyiadaptive_system.pyadaptive_system.pyibuilders.pybuilders.pyifluent.pyfluent.pyiREADME.mdself_opt.pysimple.pytemplates.pytemplates.pyiutils.py
security
__init__.pycrypto.pydatabase.pyREADME.mdsubprocess.pyvalidation.py
sequencing
__init__.pypatterns.pyREADME.md
services
__init__.pyorchestrator.pyREADME.md
sparse
__init__.pyREADME.mdrepresentations.py
structural
README.md
telemetry
__init__.pycache_metrics.pycache_metrics.pyiconstants.pynu_f.pynu_f.pyiREADME.mdunified_telemetry_system.pyverbosity.pyverbosity.pyi
tools
__init__.pydomain_templates.pyREADME.mdsequence_generator.pytnfr_is_prime_cli_optimized.pytnfr_is_prime_cli.py
topology
__init__.pyasymmetry.pyREADME.md
utils
cache_layers.pycache.pycache.pyicallbacks.pycallbacks.pyichunks.pychunks.pyidata.pydata.pyifast_diameter.pygraph.pygraph.pyiinit.pyinit.pyiio.pyio.pyinumeric.pynumeric.pyiREADME.mdtopology.pyunified_cache.py
validation
__init__.py__init__.pyiaggregator.pybase.pycompatibility.pycompatibility.pyiconfig.pygraph.pygraph.pyihealth.pyinput_validation.pyinterface_baselines.pyinvariants.pymultichannel_interface.pyphase_gate.pyREADME.mdrules.pyrules.pyiruntime.pyruntime.pyisequence_validator.pysignal_confrontation.pysoft_filters.pysoft_filters.pyispectral.pyspectral.pyistructural_interface.pytemporal_interface.pyunified_validation_system.pyvalidator.pywindow.pywindow.pyi
visualization
__init__.pycascade_viz.pyhierarchy.pyREADME.mdsequence_plotter.py
yang_mills
__init__.pyclosure.pyderivability.pyscaling.pystructural_gap.pyu6_sweep.py
__init__.py__init__.pyi_compat.py_version.py_version.pyialias.pyalias.pyibackend_config.pycache.pycache.pyiexecution.pyexecution.pyiflatten.pyflatten.pyigamma.pygamma.pyiglyph_history.pyglyph_history.pyiglyph_runtime.pyglyph_runtime.pyiimmutable.pyimmutable.pyiinitialization.pyinitialization.pyiio.pyio.pyilocking.pylocking.pyinode.pynode.pyiobservers.pyobservers.pyiontosim.pyontosim.pyipy.typedrng.pyrng.pyisecure_config.pyselector.pyselector.pyisense.pysense.pyistructural.pystructural.pyitokens.pytokens.pyitrace.pytrace.pyitypes.pytypes.pyiunits.pyunits.pyi
tetrad_evaluator.py
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FILE: benchmarks/emergent_atomic_shells.py

emergent_atomic_shells.py

Emergent Atomic Shells: the shell tower goes through the EPI form's grade.

THE CLAIM (user, theory creator): "si la dimension emerge de EPI, la emergencia de los atomos debe ir por ahi" -- if dimension emerges from the EPI form (its simplex grade, pinned by THOL self-similar nesting, see emergent_fractal_simplex_dimension.py), then the ATOM's shell structure cannot come from an imported spatial ball -- it must be the degeneracy/cardinal structure of that SAME coherent form.

THE OBSTRUCTION it removes: a single coherent simplex K_{d+1} is exactly ONE shell -- the standard irrep of S_{d+1}, degeneracy d (= the simplex cardinal = the emergent dimension, emergent_integers_symmetry.py + emergent_simplex_ dimension.py). One shell is not an atom. A multi-shell atom needs NESTING -- and the canonical nesting operator is THOL/U5. Recursing K_m into m corner-glued copies (the Sierpinski gasket of K_m, the canonical THOL self-similar lift) turns the one-shell simplex into a TOWER of shells.

WHAT EMERGES (measured below): every shell of the grade-(m-1) nested form inherits the SAME degeneracy m-1 -- the local simplex cardinal. So the emergent DIMENSION (the grade) is stamped on the whole shell tower:

  • M1 (EXACT): the first-excited shell degeneracy = m-1 = the simplex grade = the emergent dimension, and m-1 is the MODAL non-trivial degeneracy across the tower. Shell degeneracy = simplex grade = dimension. This fuses the two emergent readings: "a number is a shell degeneracy (irrep cardinal)" and "a dimension is a simplex grade" are the SAME quantity.
  • M2 (DIMENSION SIGNATURE, exact): the ground + first shell close at 2 and 2*(grade+1). grade 2 -> 2,6 ; grade 3 -> 2,8 ; grade 4 -> 2,10. The first closure READS the form's dimension. (grade 3 -> 8 = the 3D-oscillator / nuclear closure; grade 4 -> 10 touches the atomic SO(4) Coulomb cardinal.)
  • M3 (the tower, honest): the U(grade) isotropic-oscillator magic numbers all APPEAR among the shell closures -- most cleanly for grade 3, where {8,20,40} = U(3)[1:4] are all present (the 3D-oscillator / nuclear tower); grade 2 surfaces {6,12,...} = U(2) = the observed 2D quantum-dot atoms (matching the substrate's own locked U(2), emergent_substrate_symmetry.py). They are MIXED with extra Sierpinski localized-mode closures (genuine spectral-decimation degeneracies that take the BIGGEST gaps -- not oscillator numbers), so the match is a co-occurrence, not an exclusive tower.
  • M4 (synthesis): the atom's shells go through the EPI form's grade. The 2D and 3D shell towers are the grade-2 and grade-3 forms; the full CHEMICAL periodic table (2,10,18,36,54,86 = SO(4,2)/Madelung) still needs the two-body screening correction -- which is the SAME Fix(G)^perp Equivariance Wall (prime fine structure / RH S(T)) layered on the independent-particle skeleton.

So the shell structure of an atom emerges from the COHERENT FORM (EPI) and its THOL grade -- not from a spatial ball put in by hand. The dimension that comes from the form (its grade) IS the shell degeneracy; the cumulative tower is the U(grade) oscillator skeleton.

HONEST SCOPE: K_m spectra + S_m irrep dims + the Sierpinski-gasket spectral decimation are STANDARD mathematics (the comparison framework, as the emergent- number arc cites L-commutes-with-Aut(G)). The U(d) isotropic-oscillator magic numbers are likewise standard. The TNFR content is the reading "atomic shell degeneracy = simplex grade = emergent dimension of the THOL-nested EPI form", unifying the emergent-integer, emergent-dimension and shell-cardinal threads. This reaches only the independent-particle (U(grade)) skeleton; it does NOT derive the chemical periodic table (needs two-body screening) and closes no open problem. R and pi remain the assumed substrate.

Run: python benchmarks/emergent_atomic_shells.py

Theoretical anchor: AGENTS.md (THOL self-organization, U5 multi-scale fractality; the emergent L_rw = I - D^-1 W as discrete DeltaNFR, with D - A its combinatorial cousin for the additive product spectrum); benchmarks/emergent_fractal_simplex_ dimension.py (THOL pins the dimension), emergent_simplex_dimension.py (dimension = grade), emergent_shell_cardinals.py (U(d) magic numbers), emergent_substrate_symmetry.py (substrate U(2) = 2D dots). Status: RESEARCH (synthesis / falsifier).

Source Code

python
"""Emergent Atomic Shells: the shell tower goes through the EPI form's grade.

THE CLAIM (user, theory creator): "si la dimension emerge de EPI, la emergencia
de los atomos debe ir por ahi" -- if dimension emerges from the EPI form (its
simplex grade, pinned by THOL self-similar nesting, see
emergent_fractal_simplex_dimension.py), then the ATOM's shell structure cannot
come from an imported spatial ball -- it must be the degeneracy/cardinal
structure of that SAME coherent form.

THE OBSTRUCTION it removes: a single coherent simplex K_{d+1} is exactly ONE
shell -- the standard irrep of S_{d+1}, degeneracy d (= the simplex cardinal =
the emergent dimension, emergent_integers_symmetry.py + emergent_simplex_
dimension.py). One shell is not an atom. A multi-shell atom needs NESTING --
and the canonical nesting operator is THOL/U5. Recursing K_m into m
corner-glued copies (the Sierpinski gasket of K_m, the canonical THOL
self-similar lift) turns the one-shell simplex into a TOWER of shells.

WHAT EMERGES (measured below): every shell of the grade-(m-1) nested form
inherits the SAME degeneracy m-1 -- the local simplex cardinal. So the emergent
DIMENSION (the grade) is stamped on the whole shell tower:

  - M1 (EXACT): the first-excited shell degeneracy = m-1 = the simplex grade =
    the emergent dimension, and m-1 is the MODAL non-trivial degeneracy across
    the tower. Shell degeneracy = simplex grade = dimension. This fuses the two
    emergent readings: "a number is a shell degeneracy (irrep cardinal)" and
    "a dimension is a simplex grade" are the SAME quantity.
  - M2 (DIMENSION SIGNATURE, exact): the ground + first shell close at 2 and
    2*(grade+1). grade 2 -> 2,6 ; grade 3 -> 2,8 ; grade 4 -> 2,10. The first
    closure READS the form's dimension. (grade 3 -> 8 = the 3D-oscillator /
    nuclear closure; grade 4 -> 10 touches the atomic SO(4) Coulomb cardinal.)
  - M3 (the tower, honest): the U(grade) isotropic-oscillator magic numbers
    all APPEAR among the shell closures -- most cleanly for grade 3, where
    {8,20,40} = U(3)[1:4] are all present (the 3D-oscillator / nuclear tower);
    grade 2 surfaces {6,12,...} = U(2) = the observed 2D quantum-dot atoms
    (matching the substrate's own locked U(2), emergent_substrate_symmetry.py).
    They are MIXED with extra Sierpinski localized-mode closures (genuine
    spectral-decimation degeneracies that take the BIGGEST gaps -- not
    oscillator numbers), so the match is a co-occurrence, not an exclusive
    tower.
  - M4 (synthesis): the atom's shells go through the EPI form's grade. The 2D
    and 3D shell towers are the grade-2 and grade-3 forms; the full CHEMICAL
    periodic table (2,10,18,36,54,86 = SO(4,2)/Madelung) still needs the
    two-body screening correction -- which is the SAME Fix(G)^perp
    Equivariance Wall (prime fine structure / RH S(T)) layered on the
    independent-particle skeleton.

So the shell structure of an atom emerges from the COHERENT FORM (EPI) and its
THOL grade -- not from a spatial ball put in by hand. The dimension that comes
from the form (its grade) IS the shell degeneracy; the cumulative tower is the
U(grade) oscillator skeleton.

HONEST SCOPE: K_m spectra + S_m irrep dims + the Sierpinski-gasket spectral
decimation are STANDARD mathematics (the comparison framework, as the emergent-
number arc cites L-commutes-with-Aut(G)). The U(d) isotropic-oscillator magic
numbers are likewise standard. The TNFR content is the reading "atomic shell
degeneracy = simplex grade = emergent dimension of the THOL-nested EPI form",
unifying the emergent-integer, emergent-dimension and shell-cardinal threads.
This reaches only the independent-particle (U(grade)) skeleton; it does NOT
derive the chemical periodic table (needs two-body screening) and closes no
open problem. R and pi remain the assumed substrate.

Run:
    python benchmarks/emergent_atomic_shells.py

Theoretical anchor: AGENTS.md (THOL self-organization, U5 multi-scale
fractality; the emergent L_rw = I - D^-1 W as discrete DeltaNFR, with D - A its
combinatorial cousin for the additive product spectrum); benchmarks/emergent_fractal_simplex_
dimension.py (THOL pins the dimension), emergent_simplex_dimension.py
(dimension = grade), emergent_shell_cardinals.py (U(d) magic numbers),
emergent_substrate_symmetry.py (substrate U(2) = 2D dots).
Status: RESEARCH (synthesis / falsifier).
"""

from __future__ import annotations

import pathlib
import sys
from math import comb

import networkx as nx
import numpy as np

_SRC = pathlib.Path(__file__).resolve().parents[1] / "src"
if str(_SRC) not in sys.path:
    sys.path.insert(0, str(_SRC))


# --- THOL/U5 self-similar simplex nesting (Sierpinski gasket of K_m) ---
def sierpinski_simplex(m: int, levels: int):
    """Level-``levels`` self-similar nesting of the m-corner simplex K_m
    (the canonical THOL/U5 lift; node = sub-simplex via Kron node=subgraph)."""
    if levels == 0:
        return nx.complete_graph(m), list(range(m))
    sub, subc = sierpinski_simplex(m, levels - 1)
    G = nx.Graph()
    copies = []
    for i in range(m):
        mp = {v: (i, v) for v in sub.nodes}
        G.add_nodes_from(mp[v] for v in sub.nodes)
        G.add_edges_from((mp[u], mp[v]) for u, v in sub.edges)
        copies.append([mp[c] for c in subc])
    parent = {n: n for n in G.nodes}

    def find(x):
        root = x
        while parent[root] != root:
            root = parent[root]
        while parent[x] != root:
            parent[x], x = root, parent[x]
        return root

    for i in range(m):
        for j in range(i + 1, m):
            ra, rb = find(copies[i][j]), find(copies[j][i])
            if ra != rb:
                parent[rb] = ra
    H = nx.Graph()
    for u, v in G.edges:
        ru, rv = find(u), find(v)
        if ru != rv:
            H.add_edge(ru, rv)
    corners = [find(copies[i][i]) for i in range(m)]
    return H, corners


# --- shells = degenerate levels of the combinatorial L = D - A (used for its
# additive Cartesian-product spectrum; the canonical emergent operator is
# L_rw = I - D^-1 W) ---
def shells(G, tol: int = 6):
    """(eigenvalues, multiplicities) ascending; multiplicity = shell
    degeneracy = irrep cardinal of Aut(G) (the emergent-integers reading)."""
    nodes = list(G.nodes)
    A = nx.to_numpy_array(G, nodelist=nodes)
    d = A.sum(axis=1)
    L = np.diag(d) - A
    ev = np.linalg.eigvalsh(L)
    vals, counts = np.unique(np.round(ev, tol), return_counts=True)
    return vals, counts


def closures(vals, counts, zmin: float = 1.5):
    """Shell closures = cumulative 2*count at gaps above zmin*median gap."""
    gaps = np.diff(vals)
    med = float(np.median(gaps[gaps > 1e-9]))
    out = []
    cum = 0
    for i in range(len(vals) - 1):
        cum += int(counts[i])
        if gaps[i] > zmin * med:
            out.append(2 * cum)
    return out


def u_magic(d: int, n: int = 6):
    """U(d) isotropic-oscillator magic numbers: cumulative 2*C(N+d-1,d-1)."""
    return [int(2 * sum(comb(N + d - 1, d - 1) for N in range(k + 1)))
            for k in range(n)]


def _modal_nontrivial(counts) -> int:
    nt = [int(c) for c in counts if c > 1]
    return max(set(nt), key=nt.count) if nt else 0


# levels chosen for a few hundred nodes (instant eigh, deep enough tower)
_LEVELS = {3: 3, 4: 3, 5: 2}


def main() -> None:
    print("=" * 70)
    print("EMERGENT ATOMIC SHELLS -- the tower goes through the EPI grade")
    print("=" * 70)
    print(f"  U(2) magic (2D dots)   = {u_magic(2)}")
    print(f"  U(3) magic (3D/nuclear)= {u_magic(3)}")
    print("  chemical noble gases   = [2, 10, 18, 36, 54, 86]")

    forms = {}
    for m, lv in _LEVELS.items():
        G, _ = sierpinski_simplex(m, lv)
        forms[m] = (G, *shells(G))

    # M1 -- shell degeneracy = simplex grade = emergent dimension (EXACT).
    print("\nM1 -- shell degeneracy = simplex grade = dimension (EXACT):")
    m1_ok = True
    for m in (3, 4, 5):
        G, vals, counts = forms[m]
        grade = m - 1
        first_exc = int(counts[1])
        modal = _modal_nontrivial(counts)
        ok = (first_exc == grade) and (modal == grade)
        m1_ok = m1_ok and ok
        print(f"  K_{m} nest (grade {grade}, N={G.number_of_nodes()}): "
              f"first-excited deg={first_exc}, modal deg={modal} "
              f"[{'OK' if ok else 'OFF'}]")
    assert m1_ok, "shell degeneracy does not equal the simplex grade"

    # M2 -- dimension signature: ground + first closure = 2 and 2*(grade+1).
    print("\nM2 -- dimension signature: first closure = 2*(grade+1) (EXACT):")
    m2_ok = True
    for m in (3, 4, 5):
        G, vals, counts = forms[m]
        grade = m - 1
        cl = closures(vals, counts)
        want = 2 * (grade + 1)
        ok = want in cl
        m2_ok = m2_ok and ok
        tag = "  <-- atomic Ne (SO(4))" if want == 10 else ""
        print(f"  K_{m} (grade {grade}): first closure {want} "
              f"present={ok}{tag}")
    assert m2_ok, "first closure is not 2*(grade+1)"

    # M3 -- the U(grade) numbers appear among the closures (+ fractal modes).
    print("\nM3 -- U(grade) numbers appear among closures (+ fractal modes):")
    m3_ok = True
    for m in (3, 4):
        G, vals, counts = forms[m]
        grade = m - 1
        cl = closures(vals, counts)
        target = set(u_magic(grade))
        hits = sorted({c for c in cl if c in target})
        noise = sorted({c for c in cl if c not in target})
        ok = len(hits) >= 2
        m3_ok = m3_ok and ok
        print(f"  K_{m} (grade {grade}): U({grade}) numbers present={hits} "
              f"fractal-mode closures={noise}")
    assert m3_ok, "U(grade) numbers do not appear among the closures"

    # M4 -- synthesis: atom shells go through the EPI form's grade.
    print("\nM4 -- synthesis (atom shells <- EPI form grade):")
    print("  grade 2 form -> U(2) tower 2,6,12,20 = 2D quantum-dot atoms")
    print("                  (matches the substrate's own locked U(2))")
    print("  grade 3 form -> U(3) tower 2,8,20,40 = 3D-oscillator / nuclear")
    print("  the CHEMICAL table 2,10,18,36,54,86 = SO(4,2)/Madelung needs")
    print("  two-body screening = the SAME Fix(G)^perp wall (prime fine")
    print("  structure / RH S(T)) on top of this U(grade) skeleton.")

    print("\n" + "=" * 70)
    print("VERDICT: the atom's shell tower emerges from the COHERENT FORM")
    print("(EPI) and its THOL grade -- NOT from an imported spatial ball.")
    print("Shell degeneracy = simplex grade = emergent dimension (M1, exact);")
    print("the first closure reads the dimension as 2*(grade+1) (M2); the")
    print("U(grade) oscillator numbers appear among the shell closures (M3,")
    print("cleanest for the grade-3 / 3D form). The dimension that comes from")
    print("the form IS the shell degeneracy.")
    print("HONEST SCOPE: standard K_m / Sierpinski spectra re-read in TNFR;")
    print("reaches the independent-particle U(grade) skeleton only, not the")
    print("chemical table; closes no open problem. R and pi stay assumed.")
    print("=" * 70)


if __name__ == "__main__":
    main()