CiteReal

Overview

CiteReal is a web-based verification assistant built for researchers who draft papers and Literature Reviews with the help of large language models. Its central premise is simple: generative models can produce citations that look plausible but do not exist, and manually checking dozens or hundreds of references is slow and error-prone. CiteReal accepts a pasted reference list, a block of academic prose, or an uploaded PDF or DOCX manuscript, then cross-checks each entry agAInst multiple scholarly Databases and returns a status report with suggested corrections.

What it does

The tool parses each citation into its component fields, such as author, title, year, journal, and DOI, and then queries several external scholarly indexes to see whether a matching record exists. Entries are sorted into four buckets: verified, partially mismatched, retrACTed, or not found. The last two categories are the ones researchers care about most, since they point to witHDRawn papers or references that may have been invented outright. AlongsIDE verification, CiteReal offers a reverse-lookup mode: you supply a claim or argument, and the system returns real papers ranked by relevance that could support it.

Key capabilities

• Batch verification: Paste text or upload a manuscript and have the entire reference list screened in one pass rather than one citation at a time.
• Multi-database cross-referencing: Records are compared against a set of well-known scholarly sources, including preprint and retraction indexes, to reduce single-source blind spots.
• Status labeling: Each entry is marked as confirmed, partially incorrect, retracted, or missing, with corrected metadata and DOI suggestions where available.
• Claim-to-source search: Describe an argument and receive traceable papers that may substantiate it, which helps when a draft needs real support rather than a fabricated citation.
• citation formatting: Common styles such as APA, MLA, Chicago, Harvard, and IEEE are supported, with TXT, BibTeX, and RIS import and export handled locally in the browser.
• Report history: Past checks are saved so corrected reference lists can be exported and pasted back into the manuscript.

Who it is for

The primary audience is graduate students, doctoral candidates, university researchers, and journal editors who use AI writing assistance and want a safeguard against fabricated or witHDrawn sources. It is especially relevant for thesis-length documents, where reference lists run long and manual checking is impractical.

How to get started

Open the site in a browser, paste a reference list or upload a PDF or DOCX file, and start a check. Review the flagged entries, APPly the suggested corrections, and export the cleaned list. The reverse-search mode is a separate action for when you need supporting literature for a specific point.

Pricing and access caveat

Access is metered by verification credits rather than seats. A liMITed free allowance is available, and paid tiers scale by monthly credit volume for coursework, full dissertations, or high-volume editorial screening. Exact credit costs, tier prices, and Free limits may change, so confirm current terms on the site before committing. Note also that the tool validates whether a reference exists, not whether its content actually supports your argument, and coveRAGe of small venues, preprints, and non-English publications can be incomplete, so human review remains necessary.