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Q8-CLUSTER-224: E8 Term: self — E8 Intelligence Research

Year: 2026

Type: preprint

Abstract: Q8 Compression Breakthrough — Cluster 224 of 240 E8 root vectors. Compression ratio: 0.816 (threshold: 0.38) Cluster size: 13 discoveries Domain: geometry E8 root vector bucket: 224/240 Source discoveries: - E8 Term: self - YUAN FINDING: Yuan uses 128K context window with sliding attention - YUAN FINDING: Yuan uses 128K context window with sliding attention - YUAN FINDING: Yuan uses 128K context window with sliding attention - YUAN FINDING: Yuan uses 128K context window with sliding attention - YUAN FINDING: Yuan uses 128K context window with sliding attention - YUAN FINDING: Yuan uses 128K context window with sliding attention - YUAN FINDING: Yuan uses 128K context window with sliding attention Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20452470

Author: Caldin, Andrew Stewart

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7162770525

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