Guided Auxiliary Structure Discovery (GASD): A Symmetry-Constrained Method for Latent Structure Inference
Abstract
This work introduces Guided Auxiliary Structure Discovery (GASD), a conservative, falsifiable methodology for introducing auxiliary structure only when explanatory dependency exceeds stated boundary conditions. GASD formalises bidirectional inference, symmetry-constrained pruning, and explicit admission gates (necessity, minimality, symmetry preservation, falsifiability). The method is domain-agnostic and serves as the unifying methodological backbone for SHRF-based analyses across biology, materials, fluids, and cosmology. This record advances no new empirical claims and is intended as a standalone methodological reference. Keywords guided inference auxiliary structure dependency mismatch symmetry constraint falsifiability scientific methodology cross-domain inference SHRF
Fields of Study & Subjects
Enzyme Structure and Function
Protein Structure and Dynamics
Machine Learning in Materials Science
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026