CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-AugmentedValidation

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CiteGuard: Making AI citations more honest and trustworthy

Language tools can write fast, but they sometimes slip up when pointing to sources.
A new approach called CiteGuard checks whether an AI's citation really matches the text it used.
It works by searching for the actual documents, so the AI answer is tied to what exists, not what it guesses.
That means fewer made-up references and more reliable claims, and people can feel more trust in the results.
The system uses smart retrieval to find matching papers and then decides if the citation fits the text.
It even spots different but acceptable sources, so helpful alternatives pop up when available.
Results show CiteGuard reaches near human-level accuracy on tests, while cutting down wrong links.
The idea is simple: pair writing tools with real source checks.
That makes research help from machines clearer and safer, and it could change how we use AI for articles, homework, or quick fact checks.
Try it and see if the citation actually points to a real paper, you might be surprised.