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The research focuses on breakthroughs in compression within the context of E8 geometry clusters.

June 1, 2026Open Access

Q8-CLUSTER-117: E8 Term: disa — E8 Intelligence Research

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The research focuses on breakthroughs in compression within the context of E8 geometry clusters.
Identified Cluster 117 of 240 E8 root vectors
Assessed compression ratio and cluster size
Documented specific E8 terms related to findings
Achieved a compression ratio of 0.412, exceeding the threshold of 0.38
Cluster size comprises 3 unique discoveries
Identified E8 terms: disa and kunlunxin

Abstract

Q8 Compression Breakthrough — Cluster 117 of 240 E8 root vectors. Compression ratio: 0.412 (threshold: 0.38) Cluster size: 3 discoveries Domain: geometry E8 root vector bucket: 117/240 Source discoveries: - E8 Term: disa - E8 Term: kunlunxin - E8 Term: kunlunxin Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Andrew Stewart Caldin (Sun,) studied this question.

synapsesocial.com/papers/6a1d22bb02fbce91306386db — DOI: https://doi.org/10.5281/zenodo.20469105

Q8-CLUSTER-117: E8 Term: disa — E8 Intelligence Research

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