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Preprint . 2026
License: CC BY ND
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY ND
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY ND
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY ND
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY ND
Data sources: Datacite
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ALEMETRIA (АЛЕМЕТРИЯ): Methodology for Semantic Interpretation Arbitration of AI Systems and Intelligent Agents

«АЛЕМЕТРИЯ (ALEMETRIA™): Методология арбитража смысловых интерпретаций систем ИИ и интеллектуальных агентов».
Authors: Blinkova, Alice V.;

ALEMETRIA (АЛЕМЕТРИЯ): Methodology for Semantic Interpretation Arbitration of AI Systems and Intelligent Agents

Abstract

Formalization of the Euclidean Norm in MMST/TVA Protocols (v2.1) This document provides the formal mathematical foundation for the Triangular Vector Arbitration (TVA) Technical Erratum / Техническое исправление (v2.1) EN: In the Russian version of the document, a typographical error was identified in Section 5.2.1. The correct mathematical definition of the Euclidean norm is provided in the English version This notation is the definitive standard for the MMST/TVA methodology. RU: В русской версии документа в разделе 5.2.1 допущена опечатка в формуле нормы. Эталонное математическое определение Евклидовой нормы приведено в английской версии документа Данная запись является определяющим стандартом для методологии MMST/TVA.

This paper establishes Alemetria™, an interdisciplinary science for the objective measurement and arbitration of semantic interpretations generated by AI systems and autonomous agents RU: В данной работе закладываются основы Алеметрии (Alemetria™) — междисциплинарной науки об объективном измерении и арбитражу смысловых интерпретаций, генерируемых системами ИИ и автономными агентами. Triangular Vector Arbitration (TVA) and Multimodel Semantic Triangulation (MMST) are new frameworks for analyzing divergence between LLMs at the embedding level. The method introduces two core metrics: Divergence Index (ID) and Semantic Dispersion (SD).

Keywords

LLM, Digital Sociology, Multi-model Semantic Triangulation, Semantic Triangulation, Computation Linguistics,, Цифровая социология, AI Audit, Вычислительная лингвистика, Al Ethics, Culturial Bias, Semantic Dispersion, NLP, Autonomous Agents, Embeddings, Междисциплинарные исследования, TVA, Alemetria, Index Divergence, Аудит ИИ, Этика ИИ, Алеметрия, MMST, LLM Audit, Интеллектуальные агенты

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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