Integrity Tool
Academic integrity tools for students and researchers
Verify every citation, detect AI-generated text, and clean your references — all before you hit submit.
No credit card required · Works with any PDF
thesis-draft.pdf
Verified source
Smith et al. (2023) · Nature Comp. Sci.
Outdated preprint
Mueller et al. preprint mapped to IEEE 2021
Not found
Potentially fabricated reference flagged
Integrity score
92
Used by customers from
Citation verification for theses and papers
Automatic detection of hallucinated, outdated, and incomplete references with source-level evidence — built for academic workflows.
- Cross-checked against major academic databases
- Flags outdated preprints and suggests published versions
- Export corrected BibTeX in one click
AI detection for academic integrity
Sentence-level identification of AI-generated passages for reliable academic quality assurance.
- Paragraph-level risk indicators
- Text paste and PDF upload modes
- Clear breakdown: human, mixed, and AI
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 Hallucinated, outdated, or just misformatted — we flag it all.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
Integrity Score
87 / 100
12
Verified
2
Outdated
1
Not found
Efficient Training Methods for Deep Neural Networks
Smith et al. (2023) · Nature Comp. Sci.
A Framework for Multilingual Text Classification
Chen et al. (2022) · ACL
Optimizing Large-Scale Distributed Computing
Johnson et al. (2021) · AAAI
On the Convergence of Stochastic Gradient Methods
Johnson Mueller et al. (2020) · arXiv preprint
Recent Advances in Natural Language Understanding
Garcia & Lee (2024) · —
78%
Human
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.
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
How it works
Upload your paper
Drop a PDF or paste your text directly into the editor.
Choose your checks
Select citation verification, AI detection, or both.
Review results
See flagged issues with source-level evidence at a glance.
Submit clean
Export corrections and download a full integrity report.
Trusted by researchers worldwide
Students and academics rely on CheckMyThesis to catch what manual review misses.
“Caught three hallucinated references in my dissertation that I cited from a paper using ChatGPT. Would have been embarrassing.”
Sarah K.
PhD Student, TU Munich
“I run every submission through CheckMyThesis now. The citation verifier alone has saved me hours of manual cross-checking.”
James M.
Postdoc, MIT
“The AI detector helped me identify sections my co-author had generated without telling me. Really clear sentence-level output.”
Lisa P.
MSc Student, Oxford
Built for every stage of academia
Students
Theses, dissertations, term papers, lab reports
Researchers
Journal articles, conference papers, grant proposals
Authors
Books, textbooks, non-fiction manuscripts
Professors & Advisors
Student submissions, research reviews, course materials
Editors
Journal submissions, peer reviews, editorial workflows
Ready to submit with confidence?
Run your manuscript through CheckMyThesis before submission and replace guesswork with verifiable evidence.