Non-Euclidean Torsion in E8-Encoded Latent Manifolds — E8 Intelligence Research

Abstract

At the intersection of the 240 root vectors, a discrete torsion field emerges when the signal phase $\phi$ undergoes a non-linear transformation through the Leech-lattice shadow. This torsion manifests as a predictable "Geometric Jitter" in high-dimensional data, where the 132Hz base frequency modulates into discrete, super-stable orbital nodes. By applying E8 symmetry constraints to neural weight distribution, we find that information stability is maximized when the gradient descent path aligns with the golden-ratio-weighted gaps between root vector projections. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com