@hardwikiorg

Introduction & Problem Statement LLMs excel at generating fluent text but often hallucinate facts, citations, and even entire proofs. In high‑stakes domains—healthcare, law, finance, aviation—this unreliability demands costly manual verification or carries unacceptable risk. Simultaneously, AI‑generated content is set to saturate the internet, collapsing the signal‑to‑noise ratio and burying vetted human knowledge under probabilistic output. Key Challenges Hallucinations & false citations LLM outputs must be re‑fact‑checked line‑by‑line, imposing heavy cognitive and financial overhead. Sybil‑vulnerable publication channels Existing wikis and journals rely on social trust; adversaries can cheaply create sock‑puppet identities and push misinformation.

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