CheckMyThesis
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because of fake AI citations.

Find fake citations and catch AI‑generated passages
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TODO
Fix broken refs in ch. 3 😬
Fake AI citation
[Chen et al., 2022]
doesn't appear in Nature Methods vol. 19.
AI Detector● Human
2 paragraphs flagged for review
Integrity Score
94
/ 100
Ready to submit ✓
HOW IT WORKS

Two checks, one upload,
zero surprises at submission.

Most popular

Catch every hallucinated citation

Upload your paper and we cross-check every reference against five academic databases. Hallucinated, outdated, or just misformatted — we flag it all.

  • Cross-checked against Semantic Scholar, OpenAlex, CrossRef, arXiv & PubMed
  • Preprints mapped to published versions
  • Export corrected BibTeX in one click
Try the citation verifier
Citation Report — thesis-draft.pdf
Integrity Score
87/ 100
12
Verified
5
Outdated
3
Not found
1
Efficient Training Methods for Deep Neural Networks
Smith et al. (2023) · Nature Comp. Sci.
Verified
2
A Framework for Multilingual Text Classification
Chen et al. (2022) · ACL
Verified
3
Optimizing Large-Scale Distributed Computing
Johnson et al. (2021) · AAAI
Verified
4
On the Convergence of Stochastic Gradient Methods
Johnson Mueller et al. (2020) · arXiv preprint
Outdated
5
Recent Advances in Natural Language Understanding
Garcia & Lee (2024) · —
Not found
AI Detection

Know exactly which sentences are flagged

Our sentence-level AI detector highlights exactly where AI-generated text appears — no vague percentages, just precise, actionable feedback.

  • Sentence-level detection for ChatGPT, Claude & Gemini patterns
  • Color-coded highlighting: human, mixed, and AI
  • Paragraph-level confidence scoring
Try the AI detector
AI Detection — chapter-3.pdf
78%
Human
Human
Mixed
AI

The transformer architecture has fundamentally reshaped how we approach sequence-to-sequence tasks in natural language processing. Since Smith et al. (2023), self-attention mechanisms have replaced recurrence as the dominant paradigm.

Recent work has shown that scaling model parameters yields consistent improvements in downstream benchmark performance across a wide range of tasks. Furthermore, the implementation of attention mechanisms enables models to capture long-range dependencies with unprecedented efficiency and accuracy.

However, significant challenges remain in addressing bias, hallucination, and factual grounding in model outputs.

BibTeX Formatter
Available
Citation Updater
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Plagiarism Checker
Coming Soon
WHAT YOU GET

Two checks, one upload, one number you can trust.

/ 01
Citation verifier
Every [ref] gets pulled, opened, and read. We tell you if the paper exists, if the quote matches, and if the page number is real.
/ 02
AI detector (for real)
Sentence-level scoring that doesn't just flag words like 'delve'. Tuned on 120k academic papers.
/ 03
BibTeX, fixed.
Outdated preprints get mapped to published versions. Export a clean .bib in one click — no more manual cleanup.
/ 04
Your draft stays yours
PDFs are deleted after your report. Nothing is added to a database. Your supervisor will never know.
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FAQ

Frequently asked questions

Grammarly doesn't check citations. Turnitin only tells you about similarity. We actually read every reference in your paper and tell you if it exists, matches your claim, and isn't AI-hallucinated — plus sentence-level AI detection. One upload, less than a coffee.
Nope. Your draft is yours. We don't store PDFs after your report is generated, and nothing gets added to any database. Run it as many times as you want before submitting.
Our model is tuned for academic prose specifically and evaluated against 120k+ student papers. We show you a per-paragraph confidence score, not a scary red percentage meant to make you panic.
It's a proofreading tool, like Grammarly. It doesn't edit your text — it just shows you what needs fixing. You do the fixing.
First 10 citations free, no card. After that it's €19.99/mo for Essential with unlimited scans, or €29.99/mo for Complete with premium sources and priority processing.
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