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University of Arizona
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The citation-influence gap reveals that clean citations can mask the real impact of uncited sources on generated answers, challenging assumptions about citation reliability in AI outputs.
Bolstering LLMs with ontology-driven input validation and structured forensic reasoning yields a secure-by-design GenAI framework that substantially improves both security and forensic accuracy in cloud environments.
