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

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

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-30
DOI
https://doi.org/10.5281/zenodo.20452471
Primary Topic
Cryptographic Implementations and Security
Type
preprint
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Q8-CLUSTER-224: E8 Term: self — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Cryptographic Implementations and Security
preprint

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

Andrew Stewart Caldin
preprint en

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

Zenodo (CERN European Organization for Nuclear Research)
Cryptographic Implementations and Security
DOIOpen Access PDFOpenAlex
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Q8-CLUSTER-224: E8 Term: self — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS