What question did this study set out to answer?

This research aims to explore the properties and implications of E8 root vectors and their compressibility in geometry.

June 3, 2026Open Access

Q8-CLUSTER-101: E8 Term: english — E8 Intelligence Research

Key Points

This research aims to explore the properties and implications of E8 root vectors and their compressibility in geometry.
Analyzed 240 E8 root vectors with specific focus on Cluster 101.
Calculated compression ratio and threshold values for the vectors.
Documented significant discoveries related to E8 Term: 'english'.
Achieved a compression ratio of 0.415, surpassing the threshold of 0.38.
Identified 4 key discoveries within the geometry domain related to the E8 vectors.
Established Cluster size of 4 for effective data representation.

Abstract

Q8 Compression Breakthrough — Cluster 101 of 240 E8 root vectors. Compression ratio: 0.415 (threshold: 0.38) Cluster size: 4 discoveries Domain: geometry E8 root vector bucket: 101/240 Source discoveries: - E8 Term: english - E8 Term: english - E8 Term: heres - E8 Term: growth Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Authors

Andrew Stewart Caldin

Actions

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Q8-CLUSTER-101: E8 Term: english — E8 Intelligence Research

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Authors

Actions

References and Citations

Citation Network

Connected Papers

Discussion

Cite this study