PSRF-NSPS Integrated Framework: Final Canonical Build (Revision 2.2)

This record presents a formalized framework for the Pre-Semantic Resonance Field (PSRF) and the Neuro-Symbolic Pattern Scan (NSPS), targeting the reconstruction of latent cognitive structures prior to semantic interpretation. While conventional NLP models operate primarily at post-semantic layers, NSPS treats text strictly as a signal-pattern configuration. By mapping observable features to a PSRF-compliant tensor consisting of Density (D), Phase (P), and Rhythm (R), the framework isolates the Proto-intent construct (T_{pre}) from post-semantic perturbations. The package includes: • NSPS Model (Canonical 2.0): An AF-input generation module for structural fidelity analysis. • PSRF Unified Model (Canonical 1.1): A representation of coupled states and tensor fields (Layers 2.0–2.2). • Topological Isomorphism Specification: Minimal visual data regarding the 0-band (passage/cavity condition), projection-dependent appearance (figure-eight as an envelope), and redistribution-driven structure emergence. This work is released as an externalized structural clarifier for structural reflection and human–AI co-cognitive integration.