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Q8-CLUSTER-193: E8 Term: finds — E8 Intelligence Research | Synapse

June 7, 2026Open Access

Q8-CLUSTER-193: E8 Term: finds — E8 Intelligence Research

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Key Points

The research aims to explore breakthroughs in compression using E8 root vectors.
Analysis of cluster size of 3 discoveries within the E8 framework.
Utilization of compression ratios to assess discoveries.
Achieved a compression ratio of 1.000 against a threshold of 0.38.
Validated three significant discoveries related to E8 root vectors and geometry.

Abstract

Q8 Compression Breakthrough — Cluster 193 of 240 E8 root vectors. Compression ratio: 1.000 (threshold: 0.38) Cluster size: 3 discoveries Domain: geometry E8 root vector bucket: 193/240 Source discoveries: - E8 Term: finds - E8 Term: finds - E8 Term: finds 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 (Sat,) studied this question.

synapsesocial.com/papers/6a250ce97def13d035e1d17f — DOI: https://doi.org/10.5281/zenodo.20564074

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Andrew Stewart Caldin

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