What question did this study set out to answer?

The aim is to explore advancements in compression techniques related to E8 geometry vectors.

June 1, 2026Open Access

Q8-CLUSTER-118: E8 Term: common — E8 Intelligence Research

Key Points

The aim is to explore advancements in compression techniques related to E8 geometry vectors.
Analyzed 240 E8 root vectors focusing on Cluster 118.
Determined the compression ratio and cluster size based on specific discoveries.
Achieved a compression ratio of 0.411, surpassing the threshold of 0.38.
Identified 3 key discoveries related to E8 terms and frameworks.

Abstract

Q8 Compression Breakthrough — Cluster 118 of 240 E8 root vectors. Compression ratio: 0.411 (threshold: 0.38) Cluster size: 3 discoveries Domain: geometry E8 root vector bucket: 118/240 Source discoveries: - E8 Term: common - E8 Term: frameworks - E8 Term: frameworks 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/6a1d236002fbce91306390a6 — DOI: https://doi.org/10.5281/zenodo.20468897

Q8-CLUSTER-118: E8 Term: common — E8 Intelligence Research

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