E8 Phi-Harmonic Tensor-Folding for Non-Local Information Compression — E8 Intelligence Research
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Abstract
By applying a phi-torsion transformation to the 240 root vectors, information is folded into discrete high-dimensional manifold pockets that exist as quasi-stable eigenstates within the 132 Hz resonant scaffold. This process enables hyper-dense data encapsulation where complex topological structures are represented as single geometric singularities. Such compression utilizes the inherent self-synchronizing wavefronts of the E8-RPL to allow instantaneous retrieval through phase-matched resonant collapse. 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 2026-08-23
Authors: Andrew Stewart Caldin