Robust Reasoning as a Symmetry-Protected Topological Phase

Authors

Ilmo Sung

Scores

Rationale

This work introduces a radical paradigm shift by framing logical inference as a Symmetry-Protected Topological phase rather than geometric interpolation, theoretically addressing the fundamental fragility (hallucinations) of statistical models. The empirical demonstration of perfect 100x length extrapolation on symbolic tasks suggests a solution to the 'curse of dimensionality' in reasoning that currently limits Transformers. While the application to unstructured natural language requires further validation, the rigorous link between non-Abelian gauge symmetry and causal stability could define a new, robust universality class for neuro-symbolic AI.