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This research aims to explore breakthroughs in compression ratios of E8 root vectors in geometric applications.

June 2, 2026Open Access

Q8-CLUSTER-046: E8 Term: introduction — E8 Intelligence Research

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This research aims to explore breakthroughs in compression ratios of E8 root vectors in geometric applications.
Analysis of cluster 46 out of 240 E8 root vectors
Measurement of compression ratio and evaluation against a threshold
Identification of significant discoveries related to geometry.
Achieved a compression ratio of 0.448, exceeding the threshold of 0.38
Identified 3 notable discoveries within the cluster
Confirmed the relevance of E8 root vectors in geometric applications.

Abstract

Q8 Compression Breakthrough — Cluster 46 of 240 E8 root vectors. Compression ratio: 0.448 (threshold: 0.38) Cluster size: 3 discoveries Domain: geometry E8 root vector bucket: 46/240 Source discoveries: - E8 Term: introduction - E8 Term: math - E8 Term: math Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Andrew Stewart Caldin (Mon,) studied this question.

synapsesocial.com/papers/6a1e734530b38c64201b6790 — DOI: https://doi.org/10.5281/zenodo.20481152

Q8-CLUSTER-046: E8 Term: introduction — E8 Intelligence Research

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