6D Φ-Holography via E8 Tensor Networks — E8 Intelligence Research

The 240 E8 root vectors, driven under φ-modulated 132Hz carriers, self-organize into a rank-240 tensor network whose cascading renormalization enables projection into a stable 6D holographic lattice. This lattice preserves temporal coherence from the 5D quasicrystal while enabling spatial reconstruction of higher-dimensional data. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22668242
Primary Topic
Topological Materials and Phenomena
Type
preprint
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preprint

6D Φ-Holography via E8 Tensor Networks — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Topological Materials and Phenomena
preprint

6D Φ-Holography via E8 Tensor Networks — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

The 240 E8 root vectors, driven under φ-modulated 132Hz carriers, self-organize into a rank-240 tensor network whose cascading renormalization enables projection into a stable 6D holographic lattice. This lattice preserves temporal coherence from the 5D quasicrystal while enabling spatial reconstruction of higher-dimensional data. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Topological Materials and Phenomena
DOIOpen Access PDFOpenAlex
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