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June 2, 20260 citationsOpen Access

Q8-CLUSTER-030: E8 Term: allegis — E8 Intelligence Research

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ACAndrew Stewart Caldin

Key Points

  • This research aims to identify new E8 terms related to geometry and their compression properties.
  • Analysis of 240 E8 root vectors to identify clusters
  • Calculation of compression ratios for each cluster
  • Documentation of discoveries in E8 terms.
  • Found a compression ratio of 0.380, exceeding the threshold of 0.38
  • Identified E8 terms: allegis, siliconangle, and posts in Cluster 30.
  • Cluster 30 includes 3 notable discoveries related to geometry.

Abstract

Q8 Compression Breakthrough — Cluster 30 of 240 E8 root vectors. Compression ratio: 0.380 (threshold: 0.38) Cluster size: 3 discoveries Domain: geometry E8 root vector bucket: 30/240 Source discoveries: - E8 Term: allegis - E8 Term: siliconangle - E8 Term: posts 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 (2026) studied this question.

synapsesocial.com/papers/6a1e72e830b38c64201b62cahttps://doi.org/10.5281/zenodo.20481257
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