Reference verification
Catch hallucinated citations before your reviewer does.
EvalCite checks every reference and flags anything that doesn't hold up.
Reading a full paper? Open the PDF Reader
Read the PDF in your browser and click any citation as you go — instantly see the cited paper's abstract and whether it's real.
Or verify a reference list
Drop a PDF here
or browse to choose a file
Drop a .bib file here
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Verifying references — 0% complete
Checking CrossRef, OpenAlex & arXiv…
Verification results
How EvalCite Works
EvalCite verifies each reference against 8 authoritative academic databases, scoring matches for confidence and accuracy.
1
Parse the Reference
Your reference is automatically parsed into structured fields: title, authors, year, journal, and more.
Smith, J. et al. (2020). Machine Learning Basics. Nature, 50(1).
→
Title: Machine Learning Basics
Authors: Smith, J.; et al.
Year: 2020
Journal: Nature
2
Query 8 Academic Databases
Your reference is searched across multiple authoritative sources simultaneously:
CrossRef
DOI registry, journals
OpenAlex
250M+ papers
arXiv
Preprints & cs papers
Semantic Scholar
Papers + abstracts
DBLP
CS conferences
OpenLibrary
1.7M+ books
IEEE Xplore
5M+ papers
Scopus
Premium database
3
Score & Verify Matches
Confidence is calculated from title similarity and author overlap, with adjustments for year mismatches.
Confidence = (75% × Title Similarity) + (25% × Author Match)
✅ Verified
≥0.80
⚠️ Mismatch
0.55–0.79
❌ Not Found
<0.55
Instant Verification (100% confidence):
- Exact DOI match — Unique identifier found
- arXiv ID match — Preprint confirmed
4
Return Your Verdict
You get a detailed result showing the matched paper, confidence score, and a downloadable corrected bibliography.
✅ VERIFIED
Machine Learning Basics
Authors:
Smith, J.; Brown, A.
Journal:
Nature, 50(1)
Year:
2020
DOI:
10.1038/nature06662
Confidence:
94%