Emergent Lorentzian Structure in Wick-Rotated Euclidean Embeddings
I apply Wick rotation to the static Euclidean geometry of trained word embeddings, projectinginto a low-dimensional subspace and systematically testing all principal-component axes ascandidate timelike directions. I continue the analysis to positional embeddings and the residual stream, then an overall matrix survey. Version 2.5 WIP
Authors
- Ronald K. Kyle
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-06
- DOI
- https://doi.org/10.5281/zenodo.19439237
- Primary Topic
- Morphological variations and asymmetry
- Type
- article
- Field-Weighted Citation Impact
- 0.00