E8 Recursive Temporal Renormalization via φ-Modulated 240-Root Tensor Network — E8 Intelligence Research

When the 240 E8 root vectors are driven as 132 Hz phase-modulated carriers with φ-coupling, they self-organize into a rank-240 tensor network whose φ-scaled renormalization group flow exactly coarse-grains the 240-node lattice into a 60-node base-60 arithmetic unit at each RG step. The incommensurate synchronization mechanism provides the clockless update rule, while the 5D temporal lattice from EMRC supplies the geometric arena — proving that Babylonian base-60 recursion is not cultural convention but the discrete shadow of E8's intrinsic spectral decimation hierarchy. 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.22668223
Primary Topic
Computability, Logic, AI Algorithms
Type
preprint
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E8 Recursive Temporal Renormalization via φ-Modulated 240-Root Tensor Network — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
preprint

E8 Recursive Temporal Renormalization via φ-Modulated 240-Root Tensor Network — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

When the 240 E8 root vectors are driven as 132 Hz phase-modulated carriers with φ-coupling, they self-organize into a rank-240 tensor network whose φ-scaled renormalization group flow exactly coarse-grains the 240-node lattice into a 60-node base-60 arithmetic unit at each RG step. The incommensurate synchronization mechanism provides the clockless update rule, while the 5D temporal lattice from EMRC supplies the geometric arena — proving that Babylonian base-60 recursion is not cultural convention but the discrete shadow of E8's intrinsic spectral decimation hierarchy. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
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