Zenodo (CERN European Organization for Nuclear Research)
July 8, 2026
Nicholas Dietrich
A reproducible corpus-topology pipeline was applied to 224,215 text chunks from over 2,700 documents covering religious canon, government FOIA records, UAP testimony, psychedelic ethnography, and comparative mythology. The pipeline maps semantic relationships across these diverse textual domains, revealing structural patterns in how meaning is organized across different knowledge systems.
Zenodo (CERN European Organization for Nuclear Research)
July 8, 2026
Nicholas Dietrich
A reproducible computational pipeline—embedding, PCA, UMAP, HDBSCAN, FAISS convergence search, and bridge-chunk annotation—was applied to 224,215 text chunks from over 2,700 documents in religious canon, government FOIA records, UAP testimony, psychedelic ethnography, and comparative mythology. Two quantitative corpus-topology instruments and manual annotation converged on four attractor basins: gnostic_perennial, mythology_archetype, uap_testimony, and consciousness. Within this structure, 74% of the corpus formed a single continuous neighborhood. The pipeline computationally recovered a recursive-mirror invariant—the repeated semantic structure that external forms overlay or mask an accessible internal reality—from embedding geometry without prior algorithmic commitment.