Constraint-Guided Reverse Derivation: A Methodology for Deriving Candidate Physical Constraint Laws

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Authors: Taylor Prather
Cited by: 4

Abstract

Constraint-Guided Reverse Derivation (CGRD) is a structured methodology for deriving and hardening candidate physical constraint laws from established premises. It emphasizes downward derivation, compression testing, destruction protocols, evidence tagging, and independent audit so that claims remain traceable to what the premises actually support. CGRD is a reasoning and validation framework for law discovery; it organizes derivation but does not itself substitute for experiment.

Fields of Study & Subjects

Logic programming and type systems Formal Methods in Verification Model-Driven Software Engineering Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 April 2026
Language
EN
Document type
Preprint