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Commit 81e21f6
TNFR AI Agent
Empirical confrontation arm; Riemann/NS nodal-pulse re-founding; docs refresh
Empirical arm (validation/signal_confrontation.py): data-agnostic confront_signal reads the emergent geometry (tetrad, pulse, universal coherence kernel, xi_C via the spectral gap). The two-face diagnosis is EMERGENT via emergent_wave_fraction (per-mode AR(2) on the L_sym eigenmodes: damping read from the emergent dynamics, not an input-spectrum proxy). nodal_prediction_skill confronts the nodal equation dEPI/dt = nu_f*dNFR as a one-step predictor (EPI channel = graph diffusion) vs persistence and AR-1. Adds example 159, tests, and docs/EMPIRICAL_CONFRONTATION_EEG.md.
Real-data validation (scratch, no data bundled): the local tetrad K_phi/grad-phi carries cross-subject labelled state (eegmmidb eyes-open/closed, K_phi 10/10, p~0.002); the two-face reading discriminates EEG (wave) from a real thermal field (diffusive); the nodal predictor is diffusion-selective. Structural fidelity only: closes nothing, no new physics, no superiority over baselines.
Riemann re-founding: eliminate the obsolete combinatorial-Laplacian track; found on the emergent prime-NFR nodal pulse (nodal_pulse.py, pulse_coherence.py). Navier-Stokes re-founding: the two-face reading (linear NS = diffusive over-damped projection; blow-up = the nonlinear K_phi cascade), with conservative_face.py and a spectral Taylor-Green solver in operator.py. Retired modules, tests, examples and benchmarks pruned.
physics: estimate_coherence_length falls back to the spectral-gap 1/sqrt(lambda_2) (never nan); complex-safe Fiedler slow-rate in verify_overdamped_projection. Docs: current-state refresh, version-history narrative removed, counts corrected. Full suite: 1603 passed, 2 skipped.1 parent f4306b5 commit 81e21f6
121 files changed
Lines changed: 3680 additions & 25692 deletions
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- .github/agents
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- 03_riemann_zeta
- 08_emergent_geometry
- 10_applications
- src/tnfr
- dynamics
- mathematics
- physics
- riemann
- sdk
- validation
- tests
- mathematics
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