Scite.ai shows you whether papers are supported or contradicted by later research and that changes how you read citations
The way academic citations typically work is that you see a paper cited and you take it at face value as support for the claim being made. What you do not know without doing a lot of additional work is whether subsequent research has supported that finding, contradicted it, or flagged concerns about it. Scite.ai is built around making that information visible without the additional work.
The Smart Citation system classifies every citation of a paper as Supporting, Mentioning or Contrasting based on the content of the citing paper. The browser extension surfaces these badges directly on search engines and publisher sites as you browse, so you see the citation health of a paper in context rather than having to look it up separately. When I am evaluating whether to cite something or how much weight to give a finding, that distribution tells me something important that a simple citation count does not.
The Zotero plugin integrates these metrics into my reference library so I can assess the citation profile of papers I have already saved without visiting each one individually. For anyone managing a large reference library that is a significant time saver.
The Reference Check feature is the one I would recommend to anyone submitting work for publication. It analyzes your manuscript's citations and flags any that have editorial concerns, retractions or unusually high contrasting citation rates. Catching a problematic citation before submission rather than in review is obviously preferable.
The AI Assistant answers research questions using cited, verified sources rather than generating plausible-sounding answers with no traceability. Custom Dashboards aggregate citation metrics for groups of papers which is useful for literature review work.