ReferenceVerify
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Is your bibliography really correct?

Paste your references or upload a document; we check each one against scholarly records.

Writing in Word? Install the Word add-in and check without leaving your document →
How to use this tool

Paste a reference list (or upload a .txt/.docx/.pdf) and we verify each entry against scholarly databases — catching fabricated, mismatched, retracted or wrongly-formatted citations.

  1. Paste your references, or upload a file — from a full paper we auto-detect the bibliography section. .bib/.ris imports are also supported.
  2. Click “Verify”. Each reference is checked for reality (DOI / year / authors / journal), for formatting, and against the retraction database.
  3. Read the result: a colored badge (Verified / Unverified / Suspicious) and a 0–100 confidence score per entry.
  4. Click any citation to see the matched source record and where it was found.
  5. Download the check report (Word) or export as CSV, BibTeX or RIS. To restyle the citations and references in your Word file, use the “Reference style” tab.
Full guide & PDF →

Your text is processed in your browser and is never sent to Turnitin or any other plagiarism database. Reports are kept in My activity only for members, when “save to my account” is ticked.

Used by journal editors and researchers at 135+ universities and institutions.

2026 study: 41/93 approved theses had a broken DOI · readOne thesis? Thesis pack $6 / 7 days

What you get back

Every reference is searched in the academic indexes and marked with one of three outcomes:

Verified#1

Vaswani, A., et al. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30.

A record was found and the title, authors and year match. The reference is real and was reformatted to your chosen style.

Unverified — please check#2

Devlin, J., et al. (2018). BERT: Pre-training of deep bidirectional transformers for language understanding. NAACL.

The source was searched but there is no certain match — the title matches while the year differs (record says 2019). Not necessarily wrong; check by hand before submission.

Suspicious — work could not be verified#3

Doe, J. (2023). A novel approach to early cancer diagnosis with deep learning. Journal of AI in Medicine, 12(3), 45-60. https://doi.org/10.1234/jaim.2023.045

No match in any international or national scholarly database; the DOI does not resolve anywhere — most likely fabricated.