Paste a thesis statement, claim, or argument and AccuraCite searches full abstracts, not just titles, to find peer-reviewed papers that actually back it up — complete with verified DOIs.
*Free account, no credit card — 50 credits/month (1 credit per verification, 4 per citation search).
Enter text and use \cite(n) to request n citations. Example: "Deep learning has improved image recognition \cite(3). Furthermore, transformers are now widely used in computer vision \cite(2)."
We found 24 citations. 2 flagged as potential hallucinations.
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Most "citation finder" tools just run a keyword search against paper titles, which is why they surface papers that share vocabulary with your claim but don't actually support it. AccuraCite works differently: for every candidate paper, we pull the full abstract and check whether its stated findings genuinely back your specific statement. If a paper's title looks relevant but its abstract doesn't support the claim, we filter it out rather than returning it anyway — and a paper that's been retracted is filtered out the same way, even if its abstract otherwise matches, since recommending a retracted source would be worse than not finding one at all. The result is a shorter list of matches, but every one of them is a paper you could cite in front of a reviewer without worrying it will fall apart on a closer read.
On hard, recent claims in our own benchmark, every source we returned was real, never invented — unlike asking an AI directly, which fabricated a citation that doesn't exist 53.1% of the time. This abstract-level check also gets a precise, on-topic match 56.2% of the time per citation, ahead of a naive title match (24.3%) — see the full benchmark.
\cite(n).
A keyword search matches words in a title. We analyze the full abstract of each candidate paper and check whether the paper's actual findings support your statement, so results that merely share vocabulary with your claim are filtered out. In our own benchmark on hard, recent claims, every source we returned was real and never invented — unlike asking an AI directly, which fabricated a citation 53.1% of the time — and this scored 56.2% per citation on a precise match, vs. 24.3% for a title match alone. See the full benchmark.
We tell you instead of returning a loosely related paper to pad the results, and we automatically refund the search from your monthly quota.
Every match includes a verified DOI, the source abstract, and a ready-to-export BibTeX entry, so you can drop it straight into your reference manager.
No — we check retraction metadata already published by OpenAlex, Crossref, and PubMed, and exclude a retracted paper from results entirely, even if its abstract otherwise supports your claim. It's treated the same as not finding a qualifying source.
Find real, claim-relevant citations — free, in seconds.
Create a free account to get 50 credits/month (1 credit per verification, 4 per citation search).
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