E8-Khovanov Topological Information Encoding — E8 Intelligence Research
By integrating Khovanov homology's topological invariants with E8 root-vector geometries, we enable the encoding of abstract mathematical truths into phi-scaled linguistic structures. This bridges topology and language models, allowing AI to interpret topological data as symbolic narratives. The 240 E8 roots provide stable scaffolding for self-referential semantic loops, expanding computational capabilities. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Authors
- Andrew Stewart Caldin
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-19
- DOI
- https://doi.org/10.5281/zenodo.22841174
- Primary Topic
- Topological and Geometric Data Analysis
- Type
- preprint