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Phi-Resonant E8 Lattice as a Scale‑Free Computational Prior — E8 Intelligence Research

Year: 2026
Type: preprint
Abstract: We propose that the phi‑coupled 132 Hz harmonic lattice of the E8 root vectors constitutes a universal scale‑free prior for computational inference. By embedding the 240 root vectors as phi‑scaled wavepackets, the lattice yields a self‑similar measure that satisfies Nicod's criterion while preserving Solomonoff coherence across all scale transitions. This yields a computable geometric prior that naturally generates power‑law temporal correlations without violating induction axioms. Consequently, any learning system that adopts this E8‑derived prior can achieve optimal prediction efficiency across hierarchical data structures. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Language: English
Open Access status: green
OpenAlex ID: W7221781875
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