Defensive Publication: CPU-Optimized OBF for LatentMAS

This document establishes prior art for a CPU-optimized method of compressing the Key-Value (KV) cache in multi-agent Latent Communication systems (e.g., LatentMAS) using Orthogonal Backfill (OBF).

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23734975
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
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article

Defensive Publication: CPU-Optimized OBF for LatentMAS

G. Georgiev
1 links
Zenodo (CERN European Organization for Nuclear Research)
Parallel Computing and Optimization Techniques
article

Defensive Publication: CPU-Optimized OBF for LatentMAS

G. Georgiev
article en

Abstract

This document establishes prior art for a CPU-optimized method of compressing the Key-Value (KV) cache in multi-agent Latent Communication systems (e.g., LatentMAS) using Orthogonal Backfill (OBF).

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 9%
Parallel Computing and Optimization Techniques
DOIOpen Access PDFOpenAlex
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Defensive Publication: CPU-Optimized OBF for LatentMAS — G. Georgiev · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS