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

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
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article

Emergent Lorentzian Structure in Wick-Rotated Euclidean Embeddings

Ronald K. Kyle
Zenodo (CERN European Organization for Nuclear Research)
Morphological variations and asymmetry
article

Emergent Lorentzian Structure in Wick-Rotated Euclidean Embeddings

Ronald K. Kyle
article en

Abstract

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

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Morphological variations and asymmetry
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Emergent Lorentzian Structure in Wick-Rotated Euclidean Embeddings — Ronald K. Kyle · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS