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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-03
DOI
https://doi.org/10.5281/zenodo.19408986
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
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article

Emergent Lorentzian Structure in Wick-Rotated Euclidean Embeddings

Ronald K. Kyle
Zenodo (CERN European Organization for Nuclear Research)
Face recognition and analysis
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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Face recognition and analysis
DOIOpen Access PDFOpenAlex
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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