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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/primes_as_consequence.py

primes_as_consequence.py

benchmarks/primes_as_consequence.py

Camino 11 -- are the primes a PRIMITIVE INPUT to TNFR, or a CONSEQUENCE of its structure and dynamics? The change of optic the user asked for, made falsifiable.

Every earlier Camino fed the primes IN: nu_f = log p is the adelic carrier (src/tnfr/dynamics/adelic.py), read by the nodal equation dEPI/dt = nu_f . dNFR as IMPOSED input (the C5-C7 audit grounded the S_n-breaking diagonal in exactly this carrier). This harness asks the opposite question: can "primality" be READ OUT of TNFR structural equilibrium WITHOUT being fed in? AGENTS.md and theory/TNFR_NUMBER_THEORY.md S4 already answer "primality = structural equilibrium dNFR = 0" -- but that statement splits into two very different regimes, and only one of them is a genuine derivation. This harness separates them with running code.

THE TNFR MEANING (canonical, theory/TNFR_NUMBER_THEORY.md S3.3-S4): A natural number n carries structural pressure dNFR(n) = zeta.(Omega(n) - 1) + eta.(tau(n) - 2) + theta.(sigma(n)/n - (1 + 1/n)) with coefficients zeta = phi.gamma, eta = (gamma/phi).pi, theta = 1/phi (notational combos approximating empirical values; audit 2026: not derived). For a prime p: Omega(p) = 1, tau(p) = 2, sigma(p)/p = 1 + 1/p, so ALL THREE terms vanish: n is prime <=> dNFR(n) = 0. So a prime is a ZERO-PRESSURE structural equilibrium -- the optic-shift is real and it does sharpen understanding: primes are not "atoms", they are the nodes where structural reorganization pressure vanishes (maximal coherence).

TWO READINGS OF "dNFR = 0" (the distinction the meaning alone blurs):

READING A -- RE-DESCRIPTION (exact, but circular as a derivation). Compute dNFR(n) from Omega, tau, sigma. It is exactly 0 iff n is prime -- a theorem. BUT Omega, tau, sigma are obtained by trial division (n % i): you must ALREADY know the factorization to evaluate the pressure. As a meaning this is faithful; as a derivation of primality from structure it is circular (it consumes the divisibility it claims to explain). This is exactly what composition_arithmetic.py records: the primality module "CONSUMES divisibility (trial division n % i) to re-read primality as dNFR = 0."

READING B -- EMERGENCE (genuinely non-circular, but partial + scale-sector). Build the residue circulant of n from quadratic residues mod n (squares x*x % n) -- this NEVER computes n % k for candidate factors k, so it never trial-divides n. Read primality off a SPECTRAL equilibrium: the Paley gap g(n) = |lambda_2(residue circulant) - (n - sqrt n)/2| = 0 occurs exactly at primes n == 1 (mod 4) (Gauss-sum identity, Zenodo 10.5281/zenodo.17665853; canonical P25 src/tnfr/riemann/paley_gap_coercivity.py, reused via paley_bridge.py / Camino 9). Here primality genuinely COMES OUT of the self-adjoint spectrum -- primes-OUT, not primes-IN. But it is PARTIAL (only the == 1 (mod 4) class; misses 2 and the == 3 (mod 4) primes) and REAL/self- adjoint (the Camino-8 scale sector: it reaches the support, never the phase).

FRONTIER -- irreducibility is NOT primality (composition_arithmetic.py). A tempting third reading -- "primes = irreducible representation modes" -- is REFUTED: the dim-4 mode of K5 (Aut = S5) is irreducible yet 4 = 2 x 2. So the representation-theoretic optic does not reproduce arithmetic primality either; it bounds how far pure emergence can go.

THE CLAIM (what the optic-shift buys, and where it stops): understood: primality's TNFR meaning is dNFR = 0 (zero structural pressure); and there IS a non-circular spectral emergence (Reading B) -- so the primes are, in part, a CONSEQUENCE of self-adjoint structure, not a primitive. The user's reframing is correct and productive. unreached: making ALL primes emerge non-circularly (not just == 1 (mod 4)) AND reaching the continuous phase S(T) = (1/pi) arg zeta(1/2 + iT) is the SAME e-pi / Fix(G)^perp wall as Caminos 5-10. Reading A is exact-but-circular; Reading B is non-circular-but-partial; neither derives every prime through the phase. The optic-shift LOCATES the residual precisely; it does not dissolve it.

ENGINE (independent ground truth, all pre-TNFR):

  • n prime <=> dNFR(n) = 0 is algebra once Omega, tau, sigma are known (theory S4); trial division supplies them (the circularity we measure, not hide).
  • Quadratic Gauss sum |sum_x exp(2 pi i x^2 / n)| = sqrt(n) for prime n; the residue circulant on prime n == 1 (mod 4) is the Paley graph with Laplacian spectrum {0, (n - sqrt n)/2, (n + sqrt n)/2}, so g(n) = 0 <=> prime == 1 mod 4.
  • Schur's lemma: <chi, chi> = 1 marks an irreducible mode; a dim-4 irreducible mode (K5) shows representational irreducibility != arithmetic primality.

HONEST SCOPE -- structural CHECKS pass; the THESIS verdict is OPEN (by design): We show at machine precision that (A) dNFR(n) = 0 reproduces the primes exactly but is computed by consuming the factorization (circular as a derivation); (B) g(n) = 0 reproduces the primes == 1 (mod 4) using only squares mod n -- a genuine non-circular spectral emergence -- but partial and self-adjoint; (C) irreducibility != primality. So the optic-shift converts the IMPOSED adelic carrier into a PARTIALLY EMERGENT one and pins the residual at the phase / the == 3 (mod 4) class. It SHARPENS the picture; it does not close G4 / RH. R (continuum) and pi remain assumed substrate.

Run: python benchmarks/primes_as_consequence.py

Status: RESEARCH (primes-out-vs-in falsifier; Camino 11 of the unification map).

Source Code

python
"""
benchmarks/primes_as_consequence.py

Camino 11 -- are the primes a PRIMITIVE INPUT to TNFR, or a CONSEQUENCE of its
structure and dynamics? The change of optic the user asked for, made falsifiable.

Every earlier Camino fed the primes IN: nu_f = log p is the adelic carrier
(src/tnfr/dynamics/adelic.py), read by the nodal equation dEPI/dt = nu_f . dNFR
as IMPOSED input (the C5-C7 audit grounded the S_n-breaking diagonal in exactly
this carrier). This harness asks the opposite question: can "primality" be READ
OUT of TNFR structural equilibrium WITHOUT being fed in? AGENTS.md and
theory/TNFR_NUMBER_THEORY.md S4 already answer "primality = structural
equilibrium dNFR = 0" -- but that statement splits into two very different
regimes, and only one of them is a genuine derivation. This harness separates
them with running code.

THE TNFR MEANING (canonical, theory/TNFR_NUMBER_THEORY.md S3.3-S4):
  A natural number n carries structural pressure
      dNFR(n) = zeta.(Omega(n) - 1) + eta.(tau(n) - 2)
                + theta.(sigma(n)/n - (1 + 1/n))
  with coefficients zeta = phi.gamma, eta = (gamma/phi).pi, theta = 1/phi
  (notational combos approximating empirical values; audit 2026: not derived). For a prime p:
  Omega(p) = 1, tau(p) = 2, sigma(p)/p = 1 + 1/p, so ALL THREE terms vanish:
      n is prime  <=>  dNFR(n) = 0.
  So a prime is a ZERO-PRESSURE structural equilibrium -- the optic-shift is real
  and it does sharpen understanding: primes are not "atoms", they are the nodes
  where structural reorganization pressure vanishes (maximal coherence).

TWO READINGS OF "dNFR = 0" (the distinction the meaning alone blurs):

  READING A -- RE-DESCRIPTION (exact, but circular as a derivation).
    Compute dNFR(n) from Omega, tau, sigma. It is exactly 0 iff n is prime -- a
    theorem. BUT Omega, tau, sigma are obtained by trial division (n % i): you
    must ALREADY know the factorization to evaluate the pressure. As a *meaning*
    this is faithful; as a *derivation of primality from structure* it is
    circular (it consumes the divisibility it claims to explain). This is exactly
    what composition_arithmetic.py records: the primality module "CONSUMES
    divisibility (trial division n % i) to re-read primality as dNFR = 0."

  READING B -- EMERGENCE (genuinely non-circular, but partial + scale-sector).
    Build the residue circulant of n from quadratic residues mod n (squares
    x*x % n) -- this NEVER computes n % k for candidate factors k, so it never
    trial-divides n. Read primality off a SPECTRAL equilibrium: the Paley gap
    g(n) = |lambda_2(residue circulant) - (n - sqrt n)/2| = 0 occurs exactly at
    primes n == 1 (mod 4) (Gauss-sum identity, Zenodo 10.5281/zenodo.17665853;
    canonical P25 src/tnfr/riemann/paley_gap_coercivity.py, reused via
    paley_bridge.py / Camino 9). Here primality genuinely COMES OUT of the
    self-adjoint spectrum -- primes-OUT, not primes-IN. But it is PARTIAL (only
    the == 1 (mod 4) class; misses 2 and the == 3 (mod 4) primes) and REAL/self-
    adjoint (the Camino-8 scale sector: it reaches the support, never the phase).

  FRONTIER -- irreducibility is NOT primality (composition_arithmetic.py).
    A tempting third reading -- "primes = irreducible representation modes" -- is
    REFUTED: the dim-4 mode of K5 (Aut = S5) is irreducible yet 4 = 2 x 2. So the
    representation-theoretic optic does not reproduce arithmetic primality either;
    it bounds how far pure emergence can go.

THE CLAIM (what the optic-shift buys, and where it stops):
  understood:  primality's TNFR meaning is dNFR = 0 (zero structural pressure);
               and there IS a non-circular spectral emergence (Reading B) -- so
               the primes are, in part, a CONSEQUENCE of self-adjoint structure,
               not a primitive. The user's reframing is correct and productive.
  unreached:   making ALL primes emerge non-circularly (not just == 1 (mod 4))
               AND reaching the continuous phase S(T) = (1/pi) arg zeta(1/2 + iT)
               is the SAME e-pi / Fix(G)^perp wall as Caminos 5-10. Reading A is
               exact-but-circular; Reading B is non-circular-but-partial; neither
               derives every prime through the phase. The optic-shift LOCATES the
               residual precisely; it does not dissolve it.

ENGINE (independent ground truth, all pre-TNFR):
  - n prime <=> dNFR(n) = 0 is algebra once Omega, tau, sigma are known (theory
    S4); trial division supplies them (the circularity we measure, not hide).
  - Quadratic Gauss sum |sum_x exp(2 pi i x^2 / n)| = sqrt(n) for prime n; the
    residue circulant on prime n == 1 (mod 4) is the Paley graph with Laplacian
    spectrum {0, (n - sqrt n)/2, (n + sqrt n)/2}, so g(n) = 0 <=> prime == 1 mod 4.
  - Schur's lemma: <chi, chi> = 1 marks an irreducible mode; a dim-4 irreducible
    mode (K5) shows representational irreducibility != arithmetic primality.

HONEST SCOPE -- structural CHECKS pass; the THESIS verdict is OPEN (by design):
  We show at machine precision that (A) dNFR(n) = 0 reproduces the primes exactly
  but is computed by consuming the factorization (circular as a derivation);
  (B) g(n) = 0 reproduces the primes == 1 (mod 4) using only squares mod n -- a
  genuine non-circular spectral emergence -- but partial and self-adjoint;
  (C) irreducibility != primality. So the optic-shift converts the IMPOSED adelic
  carrier into a PARTIALLY EMERGENT one and pins the residual at the phase /
  the == 3 (mod 4) class. It SHARPENS the picture; it does not close G4 / RH.
  R (continuum) and pi remain assumed substrate.

Run:
    python benchmarks/primes_as_consequence.py

Status: RESEARCH (primes-out-vs-in falsifier; Camino 11 of the unification map).
"""

from __future__ import annotations

import math
import os
import sys

import networkx as nx
import numpy as np

sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
# Robust fallback so the harness also runs without PYTHONPATH=src preset.
sys.path.insert(
    0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "src")
)
from composition_arithmetic import (  # noqa: E402
    automorphism_matrices,
    character_norm,
    eigenspaces,
)

# Reading B reuses the canonical Paley machinery (Camino 9, Zenodo 17665853).
from paley_bridge import _GAP_EPS, is_prime, paley_gap  # noqa: E402

# Optional: the canonical TNFR primality pressure dNFR(n) (Reading A).
try:  # pragma: no cover - exercised only when the package is importable
    from tnfr_primality.core import tnfr_delta_nfr as _canon_delta_nfr  # noqa: E402

    _HAVE_PRIMALITY = True
except Exception:  # pragma: no cover
    _HAVE_PRIMALITY = False

# Optional: the canonical adelic carrier nu_f = log p -- the "primes-IN" input
# that this Camino questions (and that the C5-C7 audit grounded as IMPOSED).
try:  # pragma: no cover - exercised only when the package is importable
    from tnfr.dynamics.adelic import AdelicDynamics  # noqa: E402

    _HAVE_ADELIC = True
except Exception:  # pragma: no cover
    _HAVE_ADELIC = False

# Optional: the canonical P25 Paley-gap module (its honest scope: "does not close
# G4 / not a primality proof") -- the canonical home of Reading B.
try:  # pragma: no cover
    from tnfr.riemann import paley_gap_coercivity as _canon_paley  # noqa: E402

    _HAVE_CANON_PALEY = True
except Exception:  # pragma: no cover
    _HAVE_CANON_PALEY = False

TOL = 1e-9
_DNFR_EPS = 1e-9  # dNFR below this counts as a zero-pressure prime

# Pressure coefficients (notational (phi,gamma,pi,e) combos; audit 2026: not derived).
PHI = (1.0 + math.sqrt(5.0)) / 2.0
GAMMA = 0.5772156649015329
PI = math.pi
ZETA = PHI * GAMMA  # factorization pressure  ~ 0.9340
ETA = (GAMMA / PHI) * PI  # divisor pressure         ~ 1.1207
THETA = 1.0 / PHI  # abundance pressure       ~ 0.6180


# --------------------------------------------------------------------------- #
# Reading A: dNFR(n) -- exact, but consumes the factorization (circular).
# --------------------------------------------------------------------------- #
def factorization_with_opcount(n: int) -> tuple[int, int, int, int]:
    """Return (Omega, tau, sigma, n_trial_divisions) for n, by trial division.

    The trial-division count makes Reading A's circularity a NUMBER, not a vibe:
    every n % d below is a divisibility query the pressure equation consumes.
    """
    if n <= 1:
        return 0, 0, 0, 0
    omega = 0  # prime-factor count with multiplicity (big Omega)
    tau = 0  # number of divisors
    sigma = 0  # sum of divisors
    ops = 0
    # Omega via factor extraction.
    d = 2
    temp = n
    while d * d <= temp:
        while True:
            ops += 1
            if temp % d != 0:
                break
            omega += 1
            temp //= d
        d += 1
    if temp > 1:
        omega += 1
    # tau, sigma via divisor scan.
    i = 1
    while i * i <= n:
        ops += 1
        if n % i == 0:
            tau += 1
            sigma += i
            j = n // i
            if j != i:
                tau += 1
                sigma += j
        i += 1
    return omega, tau, sigma, ops


def delta_nfr_pressure(n: int) -> tuple[float, int]:
    """TNFR arithmetic pressure dNFR(n) and the trial-division cost it consumed.

    Prefers the canonical tnfr_primality.core implementation for the pressure
    value; the op-count is computed locally so the circularity is visible even
    when the canonical module is present.
    """
    omega, tau, sigma, ops = factorization_with_opcount(n)
    if _HAVE_PRIMALITY:
        return float(_canon_delta_nfr(n)), ops
    pressure = (
        ZETA * (omega - 1) + ETA * (tau - 2) + THETA * (sigma / n - (1.0 + 1.0 / n))
    )
    return float(pressure), ops


# --------------------------------------------------------------------------- #
# TEST A -- dNFR = 0 reproduces the primes EXACTLY, but is circular (primes-IN).
# --------------------------------------------------------------------------- #
def test_reading_a_redescription(limit: int = 200) -> bool:
    print("=" * 78)
    print("READING A -- primality as dNFR = 0 (exact structural meaning,")
    print("             but a RE-DESCRIPTION: it CONSUMES the factorization)")
    print("=" * 78)

    primes = [n for n in range(2, limit + 1) if is_prime(n)]
    zero_pressure = []
    total_ops = 0
    for n in range(2, limit + 1):
        pressure, ops = delta_nfr_pressure(n)
        total_ops += ops
        if abs(pressure) <= _DNFR_EPS:
            zero_pressure.append(n)

    extra = sorted(set(zero_pressure) - set(primes))  # composites called prime
    miss = sorted(set(primes) - set(zero_pressure))  # primes missed
    exact = (not extra) and (not miss)

    src = "canonical tnfr_primality.core" if _HAVE_PRIMALITY else "inline fallback"
    print(f"  pressure source : {src} (coeffs zeta=phi.gamma, eta=(gamma/phi).pi,")
    print("                    theta=1/phi -- notational, not derived)")
    print(f"  range           : n = 2..{limit}")
    print(
        f"  dNFR(n) = 0 set == primes ?  exact = {exact} "
        f"(extra = {extra}, missed = {miss})"
    )
    print(f"  trial divisions consumed to evaluate dNFR over the range: {total_ops}")
    print("  => EXACT structural meaning (prime = zero-pressure equilibrium), but")
    print("     dNFR is computed FROM Omega, tau, sigma, each obtained by n % d.")
    print("     As a derivation of primality this is CIRCULAR: primes go IN")
    print("     (consumed as divisibility) and come back out re-labelled as dNFR=0.")
    print(
        f"  VERDICT: {'PASS' if exact else 'FAIL'} "
        "-- faithful re-description, NOT a from-structure derivation"
    )
    return exact


# --------------------------------------------------------------------------- #
# TEST B -- g(n) = 0 reproduces the primes == 1 (mod 4) with NO trial division.
# --------------------------------------------------------------------------- #
def test_reading_b_emergence(limit: int = 200) -> bool:
    print()
    print("=" * 78)
    print("READING B -- primality as a SPECTRAL equilibrium g(n) = 0")
    print("             (genuine emergence: primes-OUT, no n % k consumed)")
    print("=" * 78)

    candidates = [m for m in range(5, limit + 1) if m % 4 == 1]
    primes14 = [m for m in candidates if is_prime(m)]
    zeros = [m for m in candidates if paley_gap(m) <= _GAP_EPS]

    extra = sorted(set(zeros) - set(primes14))
    miss = sorted(set(primes14) - set(zeros))
    exact = (not extra) and (not miss)

    # The detector consumes only squares mod n (x*x % n), never n % k: it asks
    # for the SHAPE of n's residue spectrum, never whether a candidate divides n.
    missed_classes = sorted(
        {2} | {p for p in range(3, 40) if is_prime(p) and p % 4 == 3}
    )
    print("  detector        : g(n) = |lambda_2(residue circulant) - (n-sqrt n)/2|")
    print("                    built from quadratic residues x*x % n (mod the")
    print("                    candidate itself) -- it NEVER computes n % k.")
    if _HAVE_CANON_PALEY:
        p25 = f"present ({_canon_paley.__name__}, 'does not close G4')"
    else:
        p25 = "absent (reusing paley_bridge / Camino 9 machinery)"
    print(f"  canonical P25   : {p25}")
    print(f"  range           : n == 1 (mod 4), n = 5..{limit}")
    print(
        f"  g(n) = 0 set == primes == 1 (mod 4) ?  exact = {exact} "
        f"(extra = {extra}, missed = {miss})"
    )
    print(f"  genuinely emergent (no n % k): True ; primes-OUT count = {len(zeros)}")
    print("  HONEST PARTIALITY: the detector is blind to 2 and to the == 3 (mod 4)")
    print(f"                    primes (e.g. {missed_classes[:8]}...) -- they live")
    print("                    outside the Paley == 1 (mod 4) class. And the residue")
    print("                    circulant is symmetric => REAL spectrum => scale")
    print("                    sector (Camino 8): reaches the support, not S(T).")
    print(
        f"  VERDICT: {'PASS' if exact else 'FAIL'} "
        "-- non-circular emergence, but PARTIAL and self-adjoint"
    )
    return exact


# --------------------------------------------------------------------------- #
# FRONTIER -- representational irreducibility is NOT arithmetic primality.
# --------------------------------------------------------------------------- #
def test_frontier_irreducibility(verbose: bool = True) -> bool:
    print()
    print("=" * 78)
    print("FRONTIER -- 'primes = irreducible modes' is REFUTED")
    print("            (irreducibility is a property of the SYSTEM, not the integer)")
    print("=" * 78)

    K5 = nx.complete_graph(5)
    nodes5 = list(K5.nodes())
    mats5 = automorphism_matrices(K5, nodes5)
    order5 = len(mats5)
    four_irreducible = False
    for val, mult, P in eigenspaces(K5, nodes5):
        if mult == 4:
            chi = character_norm(P, mats5, order5)
            four_irreducible = abs(chi - 1.0) < 0.4
            if verbose:
                print(
                    f"  K5 (Aut = S5, |Aut| = {order5}): dim-4 mode <chi,chi> = "
                    f"{chi:.2f} -> {'IRREDUCIBLE' if four_irreducible else '?'}"
                )
    print("  yet 4 = 2 x 2 arithmetically: the same cardinal is atomic in K5 and")
    print("  compositional in K3 [] K3. So irreducibility (physics) != primality")
    print("  (arithmetic). Pure emergence via representation theory cannot, by")
    print("  itself, reproduce unique factorisation.")
    print(
        f"  VERDICT: {'PASS' if four_irreducible else 'FAIL'} "
        "-- 'prime <=> irreducible' correctly refuted"
    )
    return four_irreducible


# --------------------------------------------------------------------------- #
# BRIDGE -- primes-IN (adelic carrier) vs primes-OUT (spectral emergence).
# --------------------------------------------------------------------------- #
def test_bridge_in_vs_out(limit: int = 60) -> bool:
    print()
    print("=" * 78)
    print("BRIDGE -- the adelic carrier nu_f = log p reads primes IN;")
    print("          Reading B reads (some) primes OUT. Where is the residual?")
    print("=" * 78)

    # primes-IN: the carrier the whole programme (and the C5-C7 audit) imposes.
    if _HAVE_ADELIC:
        eng = AdelicDynamics(max_prime=max(30, limit))
        carrier_primes = [int(p) for p in np.asarray(eng.primes) if p <= limit]
        src = "canonical AdelicDynamics.nu_f"
    else:
        carrier_primes = [n for n in range(2, limit + 1) if is_prime(n)]
        src = "sieve fallback"
    # primes-OUT: the non-circular spectral emergence (== 1 (mod 4) only).
    emergent = [
        m for m in range(5, limit + 1) if m % 4 == 1 and paley_gap(m) <= _GAP_EPS
    ]

    residual = sorted(set(carrier_primes) - set(emergent))
    covered = sorted(set(carrier_primes) & set(emergent))
    print(f"  primes IN  (carrier, {src}): {carrier_primes}")
    print(f"  primes OUT (spectral emergence, == 1 mod 4): {emergent}")
    print(f"  covered by emergence: {covered}")
    print(f"  RESIDUAL (imposed, not yet emergent): {residual}")
    print("  => the optic-shift converts the IMPOSED carrier into a PARTIALLY")
    print("     EMERGENT one. The residual (2, the == 3 (mod 4) primes, and the")
    print("     continuous phase S(T)) is the SAME wall as Caminos 5-10:")
    print("     real/self-adjoint structure reaches the support, not the phase.")
    # Structural check: emergence is a strict, correct SUBSET of the carrier.
    is_subset = set(emergent).issubset(set(carrier_primes))
    print(
        f"  VERDICT: {'PASS' if is_subset else 'FAIL'} -- emergence is a correct "
        "(partial) subset of the carrier; full emergence stays OPEN"
    )
    return is_subset


def main() -> int:
    print(__doc__)
    ra = test_reading_a_redescription()
    rb = test_reading_b_emergence()
    rf = test_frontier_irreducibility()
    rbr = test_bridge_in_vs_out()

    print()
    print("=" * 78)
    print("SUMMARY")
    print("=" * 78)
    print(
        f"  Reading A: dNFR = 0 exact (re-description, circular)  : "
        f"{'PASS' if ra else 'FAIL'}"
    )
    print(
        f"  Reading B: g(n) = 0 emergent (non-circular, partial)  : "
        f"{'PASS' if rb else 'FAIL'}"
    )
    print(
        f"  Frontier : irreducibility != primality                : "
        f"{'PASS' if rf else 'FAIL'}"
    )
    print(
        f"  Bridge   : emergence subset of imposed carrier        : "
        f"{'PASS' if rbr else 'FAIL'}"
    )
    structural = all([ra, rb, rf, rbr])
    print(f"\n  STRUCTURAL CHECKS: {'ALL PASS' if structural else 'SOME FAILED'}")
    print("  THESIS VERDICT: PARTIAL / OPEN (by design)")
    print()
    print("  Reading: the optic-shift is REAL and clarifying -- in TNFR a prime is")
    print("  a zero-pressure structural equilibrium (dNFR = 0), not a primitive")
    print("  atom, and there IS a genuine non-circular spectral emergence (g(n)=0)")
    print("  for the == 1 (mod 4) class. So primes ARE, in part, a CONSEQUENCE of")
    print("  self-adjoint structure. What the shift does NOT do is dissolve the")
    print("  wall: the exact reading (A) consumes the factorization, the emergent")
    print("  reading (B) is partial and scale-sector, and reaching every prime")
    print("  through the continuous phase S(T) remains the G4/RH-equivalent")
    print("  obstruction of Caminos 5-10. It LOCATES the residual; it does not")
    print("  close it. R and pi remain assumed substrate.")
    return 0 if structural else 1


if __name__ == "__main__":
    raise SystemExit(main())