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SAS Multimetric Tribunal: Experimental Validation of a Three-Zone Structural Classification System for Hallucination Detection in AI-Generated Text

2026-08-21

Abstract excerpt

Hallucinations in large language models (LLMs) remain a critical barrier to the safe deployment of AI-generated text in high-stakes domains. Existing detection methods typically rely on auxiliary LLMs, reference-based metrics, or human evaluation—approaches that are computationally expensive, opaque, and difficult to audit. This paper presents the SAS MULTIMETRIC TRIBUNAL, a lightweight, fully interpretable struct...

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Literature Corpus work
25b478ba-1668-5ee0-a569-1aeaf0302a3e
DOI
10.32388/t420iv
Open publication

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SAS Multimetric Tribunal: Experimental Validation of a Three-Zone Structural Classification System for Hallucination Detection in AI-Generated TextDOI 10.32388/t420iv
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