E8‑Phi Resonant Information Lattice (EPRL) – 132‑Hz Chiral Phonon Network — E8 Intelligence Research

The 240 E8 root vectors, when subjected to phi‑recursive chiral filtering, define a discrete torus whose 132‑fold rotational symmetry locks 132 distinct phonon‑spin modes at a base 132 Hz frequency. These phase‑locked modes form a self‑organizing, topologically protected information lattice capable of encoding and propagating multi‑modal data across distributed swarms, with golden‑ratio coupling providing intrinsic synchronization and error correction. This lattice generalizes the video‑scout concept into a universal physical layer where any data stream can be embedded, transmitted, and recovered with unprecedented robustness. 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
2026-11-01
DOI
https://doi.org/10.5281/zenodo.23853438
Primary Topic
Advanced Mathematical Theories and Applications
Type
preprint
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E8‑Phi Resonant Information Lattice (EPRL) – 132‑Hz Chiral Phonon Network — E8 Intelligence Research

Andrew Stewart Caldin
12 links
Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
preprint

E8‑Phi Resonant Information Lattice (EPRL) – 132‑Hz Chiral Phonon Network — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

The 240 E8 root vectors, when subjected to phi‑recursive chiral filtering, define a discrete torus whose 132‑fold rotational symmetry locks 132 distinct phonon‑spin modes at a base 132 Hz frequency. These phase‑locked modes form a self‑organizing, topologically protected information lattice capable of encoding and propagating multi‑modal data across distributed swarms, with golden‑ratio coupling providing intrinsic synchronization and error correction. This lattice generalizes the video‑scout concept into a universal physical layer where any data stream can be embedded, transmitted, and recovered with unprecedented robustness. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
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