How publishers can verify authors and fight paper mills
To fight paper mills, publishers check submissions for known fraud patterns, screen images for duplication, confirm author identities and institutional emails, and share signals across publishers through tools such as the STM Integrity Hub. The stakes are high. Wiley retracted more than 11,300 papers from its Hindawi portfolio over about two years after paper mills compromised special issues. One weak point remains identity. ORCID gives every researcher an identifier, but ORCID does not verify who the person behind it is.
The Trust Identity Protocol (TIP) by The AI Lab adds verified identity to that chain. Authors and reviewers verify once with an accredited Verification Provider, link their TIP-ID, and sign their manuscripts and reviews with an origin label stating whether AI assisted. A journal can check for free that a submission was signed by a verified person, and readers can see the version the authors actually submitted.
The problem
Where research integrity breaks down
| Where | What goes wrong |
|---|---|
| Paper mills | Companies sell authorship on fabricated or plagiarized papers, often through compromised special issues. |
| Fake authors and reviewers | Invented identities and fake reviewer accounts manipulate peer review. |
| Undisclosed AI text | Chatbot text has appeared in published papers without disclosure, while honest AI use goes unrecorded. |
| Version confusion | Preprints, revisions and published versions circulate together, with no simple check of which is which. |
Every option, honestly
What each option does, and where it stops
These work together. Use more than one, and read the last column for each, including ours.
| Option | What it does | Where it stops |
|---|---|---|
| ORCID | Gives each researcher a persistent identifier linked to their work. | Self-asserted. It does not verify the person behind the record. |
| STM Integrity Hub and paper mill checks | Screen submissions for known fraud signals across publishers. | Detect patterns after the fact, and paper mills adapt. |
| Image duplication tools | Find reused or manipulated figures. | Cover images, not authorship. |
| Publisher AI policies | Require authors to disclose AI use. | Disclosure is free text with no standard record. |
| Trust Identity Protocol (TIP) by The AI Lab | Ties manuscripts and reviews to verified researchers with a signed origin label, a date and a fingerprint anyone can check. | Does not judge the science and does not detect fabricated data. It proves who submitted what, and when. |
Step by step
How to put it in place, in order
- Invite authors and reviewers to add a TIP-ID alongside their ORCID iD at submission.
- Ask authors to sign the submitted manuscript on TIP with an honest origin label for any AI assistance.
- Have reviewers sign their reports, which makes fake reviewer accounts far harder to run.
- Sign the version of record under the journal's organization TIP-ID at publication.
- Use signed records alongside your existing integrity checks, not instead of them.
About TIP
What the Trust Identity Protocol is
The Trust Identity Protocol (TIP) is an open standard from The AI Lab for proving who made a piece of content and whether it has changed. A person or organization is verified once by an accredited Verification Provider and gets a TIP-ID. Each time they sign something, their own device signs it with a post-quantum signature (ML-DSA-65, NIST FIPS 204) after a fresh fingerprint or Face ID, and the TIP Network records the signature, the time, an origin label and a fingerprint of the content. Anyone can check a record for free, with no account.
TIP does not detect deepfakes, does not stop copying and does not decide whether content is true. It proves who stands behind a piece of content and whether a copy matches the original. It is governed in the open by the AI Trust Council, and the specification is public on GitHub. Signed content is called a Verifiable Asset.
Questions
Questions people ask
Does ORCID verify identity?
No. An ORCID iD is a persistent identifier that researchers create themselves. It links people to their work, but ORCID does not check that the person is who they say they are. A TIP-ID on the Trust Identity Protocol (TIP) by The AI Lab is issued after an accredited Verification Provider checks the person, and it can sit alongside an ORCID iD.
How do publishers detect paper mills?
With manuscript screening tools, shared signals across publishers through the STM Integrity Hub, image duplication checks, reviewer vetting and editorial judgment. Verified author and reviewer identity makes the fake identities paper mills depend on much harder to sustain.
Should researchers disclose AI use?
Most publishers now require it. TIP gives that disclosure a standard, signed form. Authors label a manuscript Original Human, AI-Assisted or Mixed, so honest use of AI tools is recorded rather than hidden.
Is TIP free for researchers and universities?
Yes. Individual researchers, universities and nonprofit research institutes use TIP free. Commercial publishers above the free tier use a published commercial license.
What is the Trust Identity Protocol?
The Trust Identity Protocol (TIP) is an open standard from The AI Lab for proving who made a piece of content and whether it has changed. A person or organization is verified once by an accredited Verification Provider and gets a TIP-ID. Each time they sign something, their own device signs it with a post-quantum signature, and the TIP Network records who signed it, when, how it was made (Original Human, AI-Assisted, AI-Generated or Mixed) and a fingerprint of the content. Anyone can check the record for free.
SourcesThe Register, Wiley and Hindawi, May 2024, STM Integrity Hub, ORCID
Other use cases
Where else TIP helps
- Hiring and recruiting
- Students and academic integrity
- Certificates and credentials
- Insurance claims
- Freight and logistics
- Newsrooms and journalism
- Archives, libraries and museums
- Creators and creator platforms
- Banks and finance teams
- Agencies, brands and marketing
- Referral, rewards and marketplaces
- All use cases