ReviewerAgent (Anti-Hallucination)

You can verify citations for AI-generated text by extracting [Author, Year] references and DOIs, then cross-checking them against Semantic Scholar, CrossRef, and Europe PMC to ensure they map to real papers and receive an integrity score.

Citation integrity scoring works by cross-referencing extracted citations against Semantic Scholar, CrossRef, and Europe PMC, producing a reliability score and mapping suspicious references to the closest real papers found in those databases.

Yes, automated citation verification requires a Python-based reviewer component with network access to external academic databases and a wrapper that exposes the verify_citations method to function properly during drafting and submission workflows.

When suspicious citations are detected, the evidence mapping feature locates the closest real paper within Semantic Scholar, CrossRef, or Europe PMC, allowing you to correct hallucinated references before finalizing your research draft.

Yes, automated citation verification cross-references DOIs and [Author, Year] citations against Semantic Scholar, CrossRef, and Europe PMC simultaneously, extracting references from your text and validating them across all three databases for comprehensive coverage.