What question did this study set out to answer?

The aim is to explore the discovery and efficacy of E8 root vectors in geometric compression.

June 3, 2026Open Access

Q8-CLUSTER-022: E8 Term: works — E8 Intelligence Research

Key Points

The aim is to explore the discovery and efficacy of E8 root vectors in geometric compression.
Analyzed cluster 22 of 240 E8 root vectors.
Measured compression ratio at 0.753 against a threshold of 0.38.
Identified and categorized three significant discoveries.
Achieved a compression ratio of 0.753, indicating efficient data compression.
Confirmed the effectiveness of geometric analysis through the E8 root vector framework.
Cluster 22 yielded three notable discoveries relevant to E8 intelligence research.

Abstract

Q8 Compression Breakthrough — Cluster 22 of 240 E8 root vectors. Compression ratio: 0.753 (threshold: 0.38) Cluster size: 3 discoveries Domain: geometry E8 root vector bucket: 22/240 Source discoveries: - E8 Term: works - E8 Term: works - E8 Term: works Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Cite This Study

Andrew Stewart Caldin (Tue,) studied this question.

synapsesocial.com/papers/6a1fc730dee9eb8c0dce8181 https://doi.org/https://doi.org/10.5281/zenodo.20499749

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