# CiteReal

Product details — CiteReal is an online citation checking and literature-tracing tool for paper writers, researchers, and editors. It targets fabricated entries, bibliographic errors, and retraction issues that can appear after AI-generated references, helping users organize citations that need review before submission or publication and reducing manual item-by-item lookup. It uses academic-database records as the check basis and separates existence, field accuracy, and formatting. Results are verification clues: "not found" does not mean the paper does not exist, and a literature match does not prove it supports a given claim. Source recommendations are ranked by title and abstract; final citation still requires reading the original. Core features — [List verification]: paste a reference list and inspect match status, issue reasons, and fix suggestions item by item to find entries that need follow-up or adjustment. [Document extraction]: after login, upload PDF or Word files; the system extracts references for checking and reduces copying lines from the paper. [Source finding]: enter a passage to get related papers, match ranking, and DOI links as candidates for further reading and citation choice. [Citation conversion]: import text, TXT, BibTeX, or RIS, check and edit bibliographic fields, then convert to APA, MLA, and other formats; conversion itself does not verify authenticity. Who it is for — students and researchers who use AI to organize literature and need to check citations before submitting.

Product details — CiteReal is an online citation checking and literature-tracing tool for paper writers, researchers, and editors. It targets fabricated entries, bibliographic errors, and retraction issues that can appear after AI-generated references, helping users organize citations that need review before submission or publication and reducing manual item-by-item lookup. It uses academic-database records as the check basis and separates existence, field accuracy, and formatting. Results are verification clues: "not found" does not mean the paper does not exist, and a literature match does not prove it supports a given claim. Source recommendations are ranked by title and abstract; final citation still requires reading the original. Core features — [List verification]: paste a reference list and inspect match status, issue reasons, and fix suggestions item by item to find entries that need follow-up or adjustment. [Document extraction]: after login, upload PDF or Word files; the system extracts references for checking and reduces copying lines from the paper. [Source finding]: enter a passage to get related papers, match ranking, and DOI links as candidates for further reading and citation choice. [Citation conversion]: import text, TXT, BibTeX, or RIS, check and edit bibliographic fields, then convert to APA, MLA, and other formats; conversion itself does not verify authenticity. Who it is for — students and researchers who use AI to organize literature and need to check citations before submitting.

Canonical: https://uniquebase.ai/products/citereal
Stable identifier: UB-D6456
Snapshot captured: 2026-10-29T00:45:28.937Z
English updated: 2026-10-29T00:52:59.162Z

## Connected profiles

- [CiteReal](/companies/citereal)

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