Keep AI-assisted publishing traceable to its sources.
Generative AI can help research, summarize, synthesize, draft, and rewrite. But when factual or source-dependent claims survive into publication, the external evidence behind them should remain identifiable through publisher-controlled references that are separate from the generated prose.
Keep generation and evidence separate
AI can summarize, synthesize, draft, rewrite, and reorganize source material. The studies, reports, datasets, documents, and authoritative web sources supporting the resulting factual claims remain the evidence. CiteKit keeps publisher-controlled References to those Sources separate from the generated prose so they can be identified, organized, revisited, and cited.
The prose can survive while the source trail fragments
AI-assisted synthesis can blend several sources into one polished paragraph, combine sourced facts with model inference, or carry generated citation text forward without the underlying sources being inspected. The publishing problem is not simply whether AI can make mistakes. It is whether an editor can still identify and verify the evidence supporting the claim.
Generated-text workflow
Reference-layer workflow
From external source to published claim
Use CiteKit as the reference-management layer around AI-assisted production so generated output does not become the only surviving record of the research behind an article.
Keep the evidence under publisher control
Reusable References
Keep a structured Reference that identifies the external Source instead of leaving its details only inside a prompt, generated draft, browser tab, or citation string.
Article Reference Sets
Group the References used for a particular article in a Reference Set so editors can return to the underlying research during review, correction, or later updates.
Published source connections
Connect source-dependent material to managed References through Citations, Footnotes, Tooltips, Bibliographies, or Source Lists where appropriate.
Generated citation output is not the same as a managed Reference
A generated citation is an output. A managed Reference is the publisher-controlled record that identifies the Source.
| Generated citation output | Managed Reference |
|---|---|
| What citation text did the model produce? | What Source did the publisher verify and record as a Reference? |
20 Sources
1. Neil Thurman
2. Sina Thäsler-Kordonouri
3. Richard Fletcher. AI adoption by UK journalists and their newsrooms: surveying applications, approaches, and attitudes. https://reutersinstitute.politics.ox.ac.uk/ai-adoption-uk-journalists-and-their-newsrooms-surveying-applications-approaches-and-attitudes
4. AP Corporate Communications. AP updates newsroom standards for artificial intelligence. https://www.ap.org/the-definitive-source/announcements/ap-updates-newsroom-standards-for-artificial-intelligence/
5. OpenAI. Does ChatGPT tell the truth? https://help.openai.com/en/articles/8313428
6. Yifei Li
7. Xiang Yue
8. Zeyi Liao
9. Huan Sun. AttributionBench: How Hard is Automatic Attribution Evaluation? https://aclanthology.org/2024.findings-acl.886/
10. Haolin Deng
11. Chang Wang
12. Xin Li
13. Dezhang Yuan
14. Junlang Zhan
15. Tianhua Zhou
16. Jin Ma
17. Jun Gao
18. Ruifeng Xu. WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations. https://aclanthology.org/2024.acl-long.806/
19. International Committee of Medical Journal Editors. Preparing a Manuscript for Submission to a Medical Journal. https://icmje.org/recommendations/browse/manuscript-preparation/preparing-for-submission.html
20. MLA Style Center. How do I cite generative AI in MLA style? (Updated and Revised). https://style.mla.org/citing-generative-ai-updated-revised/
Keep important claims traceable to their evidence.
AI can participate in the generation layer. The external Sources supporting important factual claims should remain identifiable through publisher-controlled References that can be revisited for verification, publication, correction, and later review.