POLYDIM: Continuous Latent Computing & Symplectic Covariant Attention

Theoretical foundation, Stiefel manifold invariants, PMTP continuous tensor protocol, symplectic Lie integrators, and physical-covariant attention kernels for high-dimensional foundation models.

Authors

Publication Details

Journal
Open Science Framework
Published
2026-11-01
DOI
https://doi.org/10.17605/osf.io/za3s7
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

POLYDIM: Continuous Latent Computing & Symplectic Covariant Attention

Ariel H. Garcia Traba
2 links
Open Science Framework
Neural Networks and Applications
article

POLYDIM: Continuous Latent Computing & Symplectic Covariant Attention

Ariel H. Garcia Traba
article en

Abstract

Theoretical foundation, Stiefel manifold invariants, PMTP continuous tensor protocol, symplectic Lie integrators, and physical-covariant attention kernels for high-dimensional foundation models.

Open Science Framework
Openalex Percentile: Top 14%
Neural Networks and Applications
DOIOpen Access PDFOpenAlex
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POLYDIM: Continuous Latent Computing & Symplectic Covariant Attention — Ariel H. Garcia Traba · Open Science Framework (2026) | TGRS Research Map | TGRS