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Mohammadreza Sediqin

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#artificial intelligence Preprint Oct 2026

A Trust Layer for Agent Evaluation

Deterministic benchmark scores show that an agent received credit, but not whether that credit was earned, reported honestly, or would hold on a second run. We introduce a Trust Layer for Agent Evaluation, an additive post-hoc framework that reports, beside each recorded score, whether it should be believed. It verifie...

Mohammadreza Sediqin, Shivali Dalmia, Srinivasa Karthikeya Reddy Kovvuri et al. · 0 citations
#artificial intelligence Review Sep 2026

SAGE: Governed Artifact Generation from Enterprise Guidelines

SAGE is introduced, a governed multi-stage LLM pipeline organized around a shared versioned rule store with stable identifiers, schema-validated inter-stage contracts, and end-to-end provenance tracking that cuts turnaround from days to 20-100 minutes.

Mohammadreza Sediqin, Shivali Dalmia, Sumukha Thoppanahalli et al. · 0 citations
#artificial intelligence Review Sep 2026

GVD: Governed Versioning and Deduplication for Document Repositories

Document repositories evolve continuously. Guidelines and policies are revised, superseded, and re-uploaded, so the same content recurs in different wording and newer versions refine or contradict earlier ones. These inconsistencies belong to the growing collection rather than to any single document, yet existing work...

Mohammadreza Sediqin, Shivali Dalmia, Sumukha Thoppanahalli et al. · 1 citation
Preprint Aug 2026

GUIDE: Governed Unified Intelligence for Document-to-Artifact Generation in Enterprise Settings

GUIDE, a governed multi-agent framework built on a shared versioned rule store with schema-validated inter-agent contracts and end-to-end provenance tracking, is introduced, achieving 96% document success, and reduces turnaround to 40-125 minutes per document.

Shivali Dalmia, Sumukha Thoppanahalli, Mohammadreza Sediqin et al. · 1 citation

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