CitateGenie resolves and verifies every citation in your document — author, title, journal, volume, issue, pages, year — against more than 550 million verified source records. Each component is independently confirmed against authoritative databases. Differences between what you cited and what the record shows are flagged field by field. No AI touches the verification. Every result is traceable to its source.
Verified Source Records
AI in the Verification Pipeline
Citation Styles Supported
Evidite’s verification engine uses no artificial intelligence or machine learning. Every result is produced through deterministic comparison of authoritative bibliographic records and independently reproducible rules.
Across science, law, and academe, citation errors are endemic — and accelerating.
95.5%
of U.S. court filings contain verified citation errors.
Elliott Ash, “What a Court Doc Audit Reveals about Erroneous Filings,” Law360, April 6, 2026, https://www.law360.com/articles/2457125.
110,000+
publications with invalid AI-generated references in 2025.
Miryam Naddaf and Elizabeth Quill, “Hallucinated Citations Are Polluting the Scientific Literature. What Can Be Done?,” Nature 652, no. 8108 (2026): 26–29, https://doi.org/10.1038/d41586-026-00969-z.
2,100%
increase in AI-related academic integrity cases in two years.
Payton Mandell, “Academic Dishonesty Cases Decrease amid 157% Rise in AI-Related Reports,” The Daily Athenaeum, October 15, 2025, https://www.thedaonline.com.
56%
of AI-generated citations are fabricated or contain errors.
Jake Linardon, Hannah K. Jarman, Zoe McClure, et al., “Influence of Topic Familiarity and Prompt Specificity on Citation Fabrication in Mental Health Research Using Large Language Models: Experimental Study,” JMIR Mental Health 12 (2025), https://mental.jmir.org/2025/1/e80371.
CitateGenie doesn’t just format citations. It independently confirms every component — title, volume, issue, pages, year, court, reporter — against authoritative records and flags the specific fields that don’t match.
When a citation matches nothing in the authoritative record — across scholarly databases, legal repositories, and government archives — CitateGenie flags it clearly. The case name may sound plausible, the journal title may be real, but if no canonical record exists for that specific reference, you’ll know before it reaches a filing or a publisher.
A real case name paired with the wrong reporter, volume, or page number is harder to catch than a complete fabrication. CitateGenie surfaces the specific discrepancies — wrong volume, wrong year, wrong page range — so you can correct them before they propagate. This is the most dangerous kind of error: the one that almost passes.
A May 2026 audit published in The Lancet screened 2.5 million biomedical papers and found that the share containing at least one fabricated reference rose more than tenfold — from 1 in 2,828 papers in 2023 to 1 in 277 by early 2026. AI writing tools produce references that are correctly formatted and attributed to real researchers, yet point to work that was never published. These fabrications routinely survive conventional peer review.
User entered:
Calderon-Cardona v. Bank of N.Y. Mellon, 821 F.3d 161, 169 (2d Cir. 2016)
Canonical record (CourtListener, 100% confidence):
Calderon-Cardona v. Bank of New York Mellon, 770 F.3d 993 (2d Cir., 2014).
Check this case.
Input citation 821 F.3d 161 (2016) does not match verified citation 770 F.3d 993 (2014). The citation details may be hallucinated.
User entered:
Martinez v. Delta Airlines
CitateGenie Warning
CitateGenie could not verify “Martinez v. Delta Airlines” across any of its more than 30 authoritative databases, including CourtListener, which contains more than 8,200,000 precedential opinions. The case may exist but not yet appear in these databases, or the citation details (reporter, volume, or page numbers) may be inaccurate—even if the case name is real.
At 90% accuracy, you check 100%. You can't tell which 10% is wrong without verifying all of it.
Without AI
14 hrs
per manuscript
With AI (ChatGPT)
14 hrs
Faster generation, but 100% still requires verification
Net time saved: Zero.
Time estimate: LeBlanc et al. (2019), cited in Clotworthy et al., BMC Medicine (2023). Full methodology
Five steps from unverified citation to confirmed, formatted output.
Upload your DOCX manuscript or paste any citation — partial or complete. Works inside Microsoft Word or on the web.
Each citation is resolved against authoritative scholarly, legal, and government databases spanning more than 550 million source records.
Every field is independently confirmed against the authoritative record — author, title, journal, volume, issue, pages, year, court, reporter.
Differences between what you cited and what the authoritative source actually says are highlighted field by field — wrong volume, wrong year, wrong page range.
Verified citations formatted in 18+ styles — Chicago, APA, MLA, Bluebook, Vancouver, and more. Accept, reject, or edit. You stay in control.
Every other tool handles one citation at a time. CitateGenie resolves an entire manuscript.
Tested across all commercially available citation tools, July 2026. No other product offers all five.
Upload a manuscript. Every citation is extracted, resolved, and cross-referenced in one pass. Competitors handle one citation at a time.
Each citation is checked against authoritative scholarly, legal, and government databases. Competitors use a single metadata lookup with no independent verification.
Every field in every citation shows which database it came from and its confidence score. Competitors show nothing about source or reliability.
CitateGenie compares every detail of a user-submitted citation against canonical records in its databases. When a volume number, reporter, page range, or publication year doesn’t match—or when no matching record exists at all—it flags the discrepancy. Partially hallucinated citations are caught, not just fully fabricated ones.
Ranked recommendations with accept/reject/edit. Never auto-replaces. Accepted results feed back into a human-verified cache.
“The verification pipeline is deterministic. No AI touches the comparison. When our system says volume 33, issue 2, it’s because the authoritative database says volume 33, issue 2 — not because a language model predicted it.”
— Eric Caplan, Founder and CEO
Results come from authoritative database records — spanning scholarly publishing, legal repositories, and government archives. Not from an LLM’s training data.
No generative model sits between your citation and the answer. The same input always produces the same result. Every result is reproducible and auditable.
Every verified citation shows which authoritative record confirmed it and what its confidence score is. You see the source. You see the match. You decide.
| Capability | Others | CitateGenie |
|---|---|---|
| Process full documents | 0 | |
| Verify against databases | 0 | |
| Per-field provenance | 0 | |
| Retraction detection | 0 | |
| Hallucination detection | 0 |
Surveyed across all commercially available citation tools, July 2026
Every verification strengthens a proprietary cache of more than 550 million source records spanning scholarly databases, legal repositories, and government archives — a data asset that grows with use and is designed to improve coverage and lower verification cost over time.
Thousands of landmark cases across dozens of jurisdictions, including comprehensive Supreme Court coverage. Legal citations resolve against the authoritative record, not a search engine summary.
Millions of pre-cached articles across science, social science, medicine, and the humanities. The most-cited publications resolve instantly; less-common citations are verified against live authoritative databases.
CitateGenie is available now for academics, editors, lawyers, and publishers.