PNAS Nexus AI Policy: ChatGPT and Generative AI Disclosure Rules for PNAS Nexus Authors
PNAS Nexus (NAS) requires AI disclosure under the publisher rules. AI cannot be an author. This guide covers where to disclose, what to disclose, and the consequences of non-compliance for PNAS Nexus submissions.
Readiness scan
AI policy covered? See what reviewers are likely to push back on.
The AI policy governs disclosure, not how the science is judged. Run the Free Readiness Scan with your target journal to see desk-rejection risk, likely reviewer concerns, and journal fit.
Quick answer: The PNAS Nexus AI policy follows the publisher's rules calibrated to broad-impact research submissions.
The author instructions say that use of AI and generative AI software, including for drafting or editing text, must be disclosed in the Materials and Methods section (or Acknowledgments, if there is no Materials and Methods section), with the name and specific model or version of the tool. AI cannot be listed as an author of any PNAS Nexus paper. AI tools for creating images or graphics are not permitted unless the software is the subject of the work under consideration.
PNAS Nexus (NAS) says failure to comply with its editorial and journal policies may result in manuscript rejection, post-publication article updates such as an expression of concern or retraction, and prevention of future publication in the journal.
Run the PNAS Nexus submission readiness check which includes an automated AI-disclosure audit, or work through this guide manually. Need broader context? See the PNAS Nexus journal overview.
The Manusights PNAS Nexus readiness scan. This guide tells you what PNAS Nexus (NAS)'s editors look for when verifying AI disclosure at desk-screen. The scan tells you whether your manuscript has the disclosure language required by the current journal policy before you submit.
We have reviewed manuscripts targeting PNAS Nexus (NAS) and peer venues; the named patterns below are patterns we check against the publisher's public AI policy and common editorial-screening risks. 60-day money-back guarantee. Your manuscript is not used for model training, and access is limited to the review workflow.
Editorial detail (for desk-screen calibration). Verify the current Editor-in-Chief and handling-editor list on the journal's editorial-team page before quoting any name in a submission cover letter. Submission portal: PNAS Nexus submission site. Manuscript constraints: abstract of up to 250 words; Research Reports prefer 6 pages and allow up to 12, and Brief Reports are limited to 3 pages.
We reviewed the publisher's AI policy framework against current PNAS Nexus author guidelines (accessed 2026-10-09); evidence basis includes both publicly documented the publisher policy and our internal anonymized submission corpus. The applicable length limits at PNAS Nexus are a 250-word abstract and page limits by article type: Research Reports prefer 6 pages and allow up to 12, and Brief Reports are limited to 3 pages.
PNAS Nexus sets length by pages rather than by a single word limit: a standard 6-page Research Report is approximately 4,000 words, and the abstract, significance statement, full text, figure captions, and table legends all count toward the page limit. The named editorial-culture quirk: PNAS Nexus academic editors emphasize reproducibility-first review.
What does PNAS Nexus (NAS)'s AI policy require?
PNAS Nexus authors should check four policy areas under the publisher's current AI framework before submission:
Rule 1: Disclose every AI tool used in manuscript preparation
The instructions say the name and specific model or version of any AI tool should be provided, and that the disclosure goes in the Materials and Methods section (or Acknowledgments, if the manuscript has no Materials and Methods section). OUP's general ethics policy adds that AI use must also be disclosed in the cover letter to the editors. Examples that REQUIRE disclosure at PNAS Nexus:
- For PNAS Nexus-targeted manuscripts addressing broad-impact research: using ChatGPT, Claude, Gemini, or similar to draft, polish, or edit manuscript text passing through PNAS Nexus editorial review
- For PNAS Nexus submissions: using AI to generate boilerplate text for limitations, ethics statements, or PNAS Nexus-specific response-to-reviewers letters that cite the publisher's framework
- For PNAS Nexus (NAS) submissions: using AI to translate manuscript text into English from another language (OUP's ethics policy lists translation among the AI uses that must be disclosed)
- For PNAS Nexus literature reviews: using AI for citation discovery or summarizing prior PNAS Nexus work
- For PNAS Nexus analytical pipelines: AI-assisted code generation requires disclosure in Methods or alongside the code (OUP's ethics policy lists writing code among the AI uses that must be disclosed), particularly when the code affects analysis
Examples that are unlikely to need AI disclosure (the instructions list no exceptions, so confirm with the editorial office if unsure):
- At PNAS Nexus, using grammar/spell checkers (Word) for line-level edits, when used without generative AI features for new manuscript content
- For PNAS Nexus submissions, using reference managers (Zotero, EndNote) for citation formatting against the publisher's style guide
- For PNAS Nexus (NAS) statistical analysis, using established statistical software (R, Stata, SPSS) where the algorithm is the established tool documented in PNAS Nexus's methodological norm, not a generative AI
Rule 2: AI cannot be an author
No AI tool can be listed as an author of a PNAS Nexus paper, particularly for broad-impact research-class submissions. The author instructions say AI software may not be listed as an author and that authors are solely accountable for, and must thoroughly fact-check, outputs created with the help of generative AI software.
Rule 3: AI tools for images and graphics are not permitted
The author instructions say AI tools for creating images or graphics are not permitted to be used unless the software is the subject of the work under consideration. The wording covers images and graphics in general, not only images that represent original research data. The instructions also say no specific feature within an image may be enhanced, obscured, moved, removed, or introduced. If you are unsure whether a layout or labeling tool counts, ask the editorial office before submission.
Rule 4: Reviewers may not upload manuscripts to generative AI
The journal's reviewer instructions say reviewers may not submit any submitted manuscript or related materials to any generative AI software, and that using an AI tool to help revise their own writing is permitted if the system does not save or use their inputs to train the model. The author instructions add that the journal uses software that may leverage AI in its own editorial assessment and peer review, such as iThenticate for text similarity, Pangram to detect AI-generated content, and Prophy and Publons to identify potential reviewers.
How does PNAS Nexus (NAS)'s AI policy compare to peer journals?
Rule | PNAS Nexus stance | the publisher default | Policy basis |
|---|---|---|---|
AI authorship | Prohibited | Prohibited | Authorship/accountability |
Disclosure location | Materials and Methods section (Acknowledgments if there is no Materials and Methods section) | Methods or Acknowledgements section, plus the cover letter | Authorship/accountability |
AI-generated figures | Not permitted unless the software is the subject of the work | Disclosure required | Image-integrity guidance |
Reviewer AI use | Reviewers may not upload manuscripts to generative AI | Check the publisher's reviewer policy | Peer-review confidentiality guidance |
Enforcement intensity | Software screening during editorial assessment (Pangram is named for AI-generated content) | OUP screens author lists for AI tools | Submission-stage policy check |
Source: PNAS Nexus information for authors and reviewer instructions, plus OUP's ethics policy for authors (all accessed 2026-10-09).
What does AI disclosure look like in a PNAS Nexus Methods section?
Acceptable disclosure language for PNAS Nexus submissions:
"For our broad-impact research-focused manuscript at PNAS Nexus, we used ChatGPT-4o (OpenAI, version dated October 2024) to polish English-language phrasing in the Introduction and Discussion sections. We did not use generative AI for data analysis, figure generation, or substantive manuscript content. All authors reviewed and edited the AI-assisted text and take responsibility for the final manuscript."
Or, for AI-assisted code:
"For this PNAS Nexus submission addressing broad-impact research, initial Python code for the Bayesian regression analysis was drafted with Claude 3.5 Sonnet (Anthropic, version dated December 2024). All code was reviewed, modified, and validated by the authors before use; the final version is available at [repository URL]. Statistical inference was performed using the established R package brms."
What does NOT pass PNAS Nexus's desk-screen:
- For PNAS Nexus addressing broad-impact research: "AI tools were used in manuscript preparation." Too vague for the publisher editorial review of PNAS Nexus submissions; the instructions say the name and specific model or version of any AI tool should be provided
- "We acknowledge AI assistance in the Acknowledgments." (The instructions allow the Acknowledgments only when the manuscript has no Materials and Methods section.)
- "ChatGPT helped write this paper." (Insufficient detail on use case)
- No disclosure when AI was used (publication-ethics violation)
Desk-screen risks we see before submission
For PNAS Nexus-targeted manuscripts, the patterns below are common AI-policy risk areas to check against the publisher's current guidance before submission. Of the manuscripts we screened in 2025 targeting PNAS Nexus and peer venues, the patterns below are the AI-policy risks we check first.
AI disclosure missing despite obvious AI-assisted phrasing. Substantive AI-assisted drafting without a required disclosure can trigger an editorial query. Check whether your manuscript reads as AI-assisted
AI disclosure placed in the wrong manuscript location. The PNAS Nexus instructions name the Materials and Methods section (or Acknowledgments, if there is no Materials and Methods section) as the place for the disclosure. Publisher policies differ on whether AI disclosure belongs in Methods, a dedicated AI-use statement, acknowledgments, or another manuscript section. A misplaced disclosure can create an avoidable submission query. Check whether your AI disclosure is in the right section
Generic disclosure language without tool name and version. The PNAS Nexus instructions say the name and specific model or version of any AI tool should be provided. "AI tools were used" without specifics may draw an editorial query. Check whether your AI disclosure has the required specificity
What is the PNAS Nexus AI-policy compliance timeline?
Stage | Duration | What happens |
|---|---|---|
Author drafts AI disclosure | 30-60 minutes | Identify all AI use, gather tool versions, write Methods paragraph |
Co-author review of disclosure | 1-2 days | All authors confirm the disclosure is complete and accurate |
Editorial desk-screen check | 1-2 weeks | PNAS Nexus's editorial team checks the disclosure against the manuscript when policy review is triggered |
Editorial query (if disclosure incomplete) | 5-10 days | Editor requests revision before sending to peer review |
Reviewer AI-use rules | During peer review | Reviewers may not upload the manuscript to generative AI software |
Source: Manusights internal review of PNAS Nexus-targeted submissions, 2025 cohort.
Submit If
- For PNAS Nexus (NAS) submissions on broad-impact research: the manuscript documents substantive generative-AI use with the tool name, version or access date, specific use case, and disclosure location required by the current journal policy
- For PNAS Nexus: no AI tool is listed as an author; all listed authors meet authorship criteria and take responsibility for the final manuscript
- For PNAS Nexus (NAS): no figure, schematic, or image was created with an AI tool unless the software is the subject of the work
- For PNAS Nexus submissions: the disclosure makes clear that human authors reviewed the AI-assisted material and take responsibility for the final manuscript
Readiness check
Run the scan while the topic is in front of you.
See score, top issues, and journal-fit signals before you submit.
Think Twice If
- The manuscript contains substantive AI-assisted drafting but no disclosure; this can trigger an editorial query if the journal requires disclosure for that use case.
- The AI disclosure is placed in a section the current journal policy does not recognize.
- The disclosure language is generic without naming the tool, version or access date, and use case; journals may query or return manuscripts with this gap.
- Any figure, schematic, or image workflow used generative AI without being checked against the current journal image policy.
Manusights submission-corpus signal for PNAS Nexus (NAS).
Of the manuscripts our team screened before submission to PNAS Nexus and peer venues in 2025, the AI-policy compliance gap most consistent across the cohort is generic disclosure language without tool-version specificity. In our analysis of anonymized PNAS Nexus-targeted submissions, manuscripts with complete AI disclosure (tool name, version, specific use case, all-author confirmation) clear desk-screen at the same rate as manuscripts without AI use; manuscripts with incomplete or missing disclosure trigger editorial queries that add 1-2 weeks to the timeline.
PNAS Nexus (NAS) follows the publisher's public AI policy, but authors should verify the current journal page before submission because AI-use rules, disclosure locations, and image guidance continue to change.
What can PNAS Nexus authors do to stay ahead of AI policy changes?
The publisher's AI policy framework continues to evolve as 2026 brings new ICMJE recommendations, COPE guidance refinements, and journal-specific clarifications. PNAS Nexus authors targeting broad-impact research submissions should track three signals throughout 2026:
Policy updates from the publisher. The journal's AI wording can change between versions of the author instructions, so re-read the live Artificial intelligence section before you submit.
Field-specific clarifications for broad-impact research. Different research domains see different AI use patterns. The PNAS Nexus instructions do not define a threshold between "substantive" and "ancillary" AI assistance; they say AI use for manuscript preparation, including drafting or editing text, must be disclosed. Authors who err on the side of more disclosure rather than less avoid the publication-ethics gray zone.
Reviewer AI rules. The journal's reviewer instructions say reviewers may not submit any submitted manuscript or related materials to any generative AI software.
- Manusights internal preview corpus (100+ PNAS Nexus-targeted manuscripts, 2025 cohort)
Competitor pricing and feature claims on this page reflect publicly listed information as of 2026-05-14. Pricing and features may change; verify against each vendor's current product page before decision-making.
Frequently asked questions
Yes, with disclosure. The PNAS Nexus author instructions say that use of AI and generative AI software, such as Large Language Models or ChatGPT, for manuscript preparation, including drafting or editing text, must be disclosed in the Materials and Methods section (or Acknowledgments, if the manuscript has no Materials and Methods section). AI may not be listed as an author, and authors are solely accountable for, and must thoroughly fact-check, outputs created with the help of generative AI software. AI tools for creating images or graphics are not permitted unless the software is the subject of the work.
Disclose it in the Materials and Methods section, or in the Acknowledgments if the manuscript has no Materials and Methods section. The instructions say the name and specific model or version of any AI tool (for example GPT-4 or Claude 3.5 Sonnet) should be provided, and OUP's general ethics policy also asks for disclosure in the cover letter to the editors. The journal says it uses software that may leverage AI in its editorial assessment and peer review, including iThenticate for text similarity and Pangram to detect AI-generated content.
No, with one exception. The instructions say AI tools for creating images or graphics are not permitted to be used unless the software is the subject of the work under consideration. The image-integrity rules also say no specific feature within an image may be enhanced, obscured, moved, removed, or introduced.
The instructions say failure to comply with the journal's editorial and publication policies may result in manuscript rejection, post-publication article updates, including editorial expressions of concern or retraction, and prevention of future publication in the journal.
The shared publisher-level policy usually covers AI authorship, disclosure, and image or figure restrictions. Journal-specific guidance can differ in disclosure location, article-type expectations, and how the policy is checked during screening.
Sources
- PNAS Nexus peer reviewer instructions (accessed 2026-10-09)
- OUP ethics policy for authors (accessed 2026-10-09)
- PNAS Nexus author guidelines (accessed 2026-10-09)
- ICMJE recommendations on AI use (accessed 2026-05-08)
- COPE guidance on AI in research publication (accessed 2026-05-08)
Free guide
AI cannot be an author. None of the 41 policies we checked allows it.
Not a co-author, not an acknowledged contributor with a byline, not "with assistance from". What they do require is a disclosure, and the wording matters. The guide has the statement filled in, with what each publisher asks for beside it.
Before you upload
Choose the next useful decision step first.
Move from this article into the next decision-support step. The scan works best once the journal and submission plan are clearer.
Use the scan once the manuscript and target journal are concrete enough to evaluate.
Private API processing. Your manuscript is not used to train models.
Put the guidance to work
Choose the practical next step for your research.
Start with the question in front of you, or use the guided learning path when you want a clearer view of the full publishing process.
Where to go next
Same journal, next question
- PNAS Nexus Submission Guide: What to Prepare Before You Submit
- How to Avoid Desk Rejection at PNAS Nexus (2026)
- PNAS Nexus APC and Open Access: Pricing, Waivers, Transformative Agreements (2026)
- PNAS Nexus Review Time: What Authors Can Actually Expect
- PNAS Nexus 'Under Review': What the Status Means
- PNAS Nexus Acceptance Rate: What the Journal Publishes