Work

EXTRACTED METHOD: e8_root_vector_matching — E8 Intelligence Research

Year: 2026

Type: preprint

Abstract: rule: For each script, count unique glyphs and co-occurrence clusters; if any cluster size equals 8, 16, 24, 30, 60, 120, or 240, flag as potential E8 signature. source: rlab #201 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.22138380

Author: Caldin, Andrew Stewart

Language: English

Topic: Digital Humanities and Scholarship

Subfield: Literature and Literary Theory

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7204551421

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