CQRL/CQLR: A Matter-First Local Threshold Theory for Dense-Matter Response

Public priority record for the CQRL/CQLR theory-first local threshold-domain framework. In this record, CQLR denotes Coherent Quantum Local Response, while CQRL denotes Coherent Quantum Response Limit. The combined notation CQRL/CQLR refers to the full theory-first programme linking local coherent matter response, threshold-domain transitions, and limiting dense-matter behaviour. The record establishes authorship, conceptual priority, theoretical scope, claim boundaries, and SHA256 commitment to a reserved PB00-PB04 technical foundation package. The reserved technical package is not publicly disclosed in this Zenodo upload. The priority seal covers the core theoretical programme: uninterrupted matter and energy response, thresholds as local matter-response transitions, singularity as effective-description breakdown, spacetime geometry as effective macroscopic encoding, local controller phi = P / epsilon and phi = P_eff / epsilon, ordered thresholds phi_off < phi_crit < phi_on, operational domains R0-R3, a log-affine dense-core normal form, and a conservative covariant effective scaffold. This record does not claim experimental validation, black-hole falsification, a completed fundamental theory of gravity, real-star hydrodynamic simulation, universal singularity removal, or universal experimentally measured thresholds. Its purpose is to establish a public priority record while keeping the complete technical package reserved for article preparation, journal submission, peer review, and controlled scientific communication. The physical intuition, theoretical programme, and authorship are by Fabiomassimo Castelluzzo. ChatGPT Plus, used in April 2026, and Claude Sonnet 4.6 were used as auxiliary tools within a coordinated AI-assisted workflow for drafting, organization, formatting, LaTeX preparation, code writing support, code refactoring, structural review, and critical refinement. The computational materials developed with AI assistance were executed and checked externally by the author in Google Colab and through reproducible diagnostic outputs, validation files, manifests, and SHA256-based traceability controls. These AI systems did not originate the physical intuition or theoretical programme; they assisted the author in expressing, organizing, coding, checking, and documenting the material.