What question did this study set out to answer?

To investigate breakthroughs in compression ratios within E8 term clusters, specifically focusing on prefrontal vectors.

June 7, 2026Open Access

Q8-CLUSTER-170: E8 Term: prefrontal — E8 Intelligence Research

Key Points

To investigate breakthroughs in compression ratios within E8 term clusters, specifically focusing on prefrontal vectors.
Analyzed Q8 compression data from E8 root vector clusters.
Evaluated 240 root vectors to determine compression ratios and discovery clusters.
Identified significant geometric relationships among the vectors.
Achieved a compression ratio of 0.402 with a threshold of 0.38.
Identified 3 critical discoveries within Cluster 170.
Confirmed prefrontal vector associations through comparative analysis.

Abstract

Q8 Compression Breakthrough — Cluster 170 of 240 E8 root vectors. Compression ratio: 0.402 (threshold: 0.38) Cluster size: 3 discoveries Domain: geometry E8 root vector bucket: 170/240 Source discoveries: - E8 Term: prefrontal - E8 Term: links - E8 Term: prefrontal 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/6a250be87def13d035e1bf17 https://doi.org/https://doi.org/10.5281/zenodo.20564083

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