fXOR: A Minimal Constraint Framework for Invariant Structure Under Reduction
Abstract
This document presents fXOR, a minimal constraint framework describing how invariant structure emerges under reduction, compression, and scale collapse. The framework defines a constrained state space in which only stable phase relations can persist, independent of representation, dimensional embedding, or absolute magnitude. This work is released as public prior art to prevent exclusive claims on the described methods.
Fields of Study & Subjects
Model Reduction and Neural Networks
Machine Learning in Materials Science
Seismic Imaging and Inversion Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 January 2026
- Document type
- Preprint