Robust Reasoning as a Symmetry-Protected Topological Phase

Authors

Ilmo Sung

Scores

Rationale

This paper proposes a radical paradigm shift by framing logical robustness as a topological invariant rather than a statistical property, directly addressing critical bottlenecks like hallucination and length generalization (100x extrapolation). While the theoretical isomorphism to non-Abelian anyon braiding is highly novel, the approach diverges sharply from current Transformer-based scaling trends, resulting in low momentum alignment. The technical promise is immense for neuro-symbolic reasoning, but the transferability of 'Holonomic Networks' to messy, unstructured natural language data remains the primary risk factor.