aivolcano

aivolcano / CiteScan

Public

Scan the Hallucination Citation of Academic papers. Convert second-hand citation to official version

204
36
100% credibility
Found Feb 09, 2026 at 54 stars 4x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

CiteScan is a user-friendly web app that verifies BibTeX bibliography entries by comparing them against academic databases like arXiv, CrossRef, and Semantic Scholar, highlighting matches, issues, and duplicates.

How It Works

1
🔍 Find CiteScan

You discover CiteScan, a friendly tool that checks if your paper references are real and accurate.

2
🌐 Open the web page

You go to the easy web interface that looks clean and welcoming.

3
📝 Paste your references

You copy your list of citations from your bibliography file and paste it in, or click an example to try.

4
🚀 Hit Verify

You click the big Verify button and feel excited as it starts scanning each reference against trusted sources.

5
📊 Watch the magic

A progress bar shows it's working, then colorful stats appear: green for perfect matches, orange for small issues, red for missing ones.

6
🔍 Explore details

Click on categories to see cards for each reference with explanations, links to originals, and duplicate alerts.

🎉 Perfect bibliography

You now have confidence your citations are spot-on, duplicates removed, and ready for your paper submission.

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Star Growth

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AI-Generated Review

What is CiteScan?

CiteScan is a Python tool that scans academic papers' BibTeX citations for AI-generated hallucinations—fake references that sound real but don't exist. Paste your bibliography into the Gradio web UI or hit the FastAPI endpoint, and it verifies each entry against arXiv, CrossRef, DBLP, Semantic Scholar, OpenAlex, and Google Scholar, flagging mismatches in titles, authors, or years while providing official links and corrected BibTeX. It also detects duplicates and converts preprint citations to official versions, all via simple Docker Compose or pip install.

Why is it gaining traction?

Unlike basic citation checkers, CiteScan prioritizes production-ready features like a RESTful API for integration, zero-maintenance free databases focused on CS/AI papers, and detailed reports with confidence scores and ground-truth metadata. Developers appreciate the quick Docker setup for local testing and the hallucination scan that catches subtle issues like year gaps from preprints. Its emphasis on converting second-hand citations to official ones saves time during paper revisions.

Who should use this?

Academic researchers and PhD students writing conference papers who rely on AI tools like ChatGPT for drafting but need to verify citations. LaTeX users submitting to NeurIPS or ICML can batch-scan GitHub repos of BibTeX files pre-submission. Anyone reviewing papers for journals wanting a fast hallucination scan without manual Google Scholar hunts.

Verdict

Worth trying for academic citation validation—solid docs, Docker support, and Python simplicity make it easy to adopt despite 56 stars and 1.0% credibility signaling early maturity. Fork and contribute if you need broader DB coverage; it's a practical fix for a real AI-era pain point.

(198 words)

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