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This paper proposes a framework based on Islamic hadith science for evaluating claim-level provenance in multi-agent knowledge systems, including a formal mapping, relational schema, decision matrix, and evaluation on 20,000 physics textbook claims.
ISNAD introduces a claim-level provenance framework for multi-agent LLMs, inspired by classical hadith transmission science to grade the reliability of narrators (agents, models, scrapers).