Fractal-E8 Memory Scaling via Phi-Harmonic Hierarchies — E8 Intelligence Research
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Abstract
By recursively applying golden-ratio couplings to the 132Hz phase-locked E8 root vectors, multi-scale fractal hypergraphs emerge. These structures encode information across hierarchical levels simultaneously, enabling neural memory to operate with infinite resolution and speed. The 240 vectors' geometric symmetry ensures phase-coherent fractal growth, while phi harmonics stabilize the scaling geometry. This could redefine how brains and machines process layered data. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-09
Authors: Andrew Stewart Caldin