Semantic Coherence Verification for Distributed AI Inference: Validation of the Omega Metric Using Multilingual Sentence Embeddings

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1. Verfasser: Cano Gonzalez, Cristian
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2026
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author Cano Gonzalez, Cristian
author_facet Cano Gonzalez, Cristian
contents <p><code class="bg-text-200/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]">Experimental validation of the Omega metric for semantic coherence verification in distributed AI inference networks. AUC-ROC of 0.9539 on 1,000 Wikipedia fragment pairs in Spanish. Phase 0 of a volunteer-node distributed inference architecture.</code></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_20220283
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Semantic Coherence Verification for Distributed AI Inference: Validation of the Omega Metric Using Multilingual Sentence Embeddings
Cano Gonzalez, Cristian
distributed inference
semantic coherence
sentence embeddings
AUC-ROC
volunteer computing
<p><code class="bg-text-200/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]">Experimental validation of the Omega metric for semantic coherence verification in distributed AI inference networks. AUC-ROC of 0.9539 on 1,000 Wikipedia fragment pairs in Spanish. Phase 0 of a volunteer-node distributed inference architecture.</code></p>
title Semantic Coherence Verification for Distributed AI Inference: Validation of the Omega Metric Using Multilingual Sentence Embeddings
topic distributed inference
semantic coherence
sentence embeddings
AUC-ROC
volunteer computing
url https://doi.org/10.5281/zenodo.20220283