Agentic Publication Protocol: An Attempt to Modernize Scientific Publication
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arXiv:2606.27386v1 Announce Type: cross Abstract: Scientific publication is still organized primarily around static manuscripts, even though much of scientific progress depends on tacit know-how: how to run code, reproduce figures, interpret edge cases, choose useful follow-up directions, and avoid failed paths. Large language model agents create an opportunity to publish not only knowledge, but also operational know-how in a form that future readers and researchers can directly use. This paper
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✦ AI Summary· Claude Sonnet
Computer Science > Digital Libraries
[Submitted on 15 Jun 2026]
Agentic Publication Protocol: An Attempt to Modernize Scientific Publication
Sirui Lu, Xiao-Liang Qi
Scientific publication is still organized primarily around static manuscripts, even though much of scientific progress depends on tacit know-how: how to run code, reproduce figures, interpret edge cases, choose useful follow-up directions, and avoid failed paths. Large language model agents create an opportunity to publish not only knowledge, but also operational know-how in a form that future readers and researchers can directly use. This paper outlines the Agentic Publication Protocol (APP), a lightweight repository format for packaging a paper together with code, data, environment information, reproducibility instructions, and an agent-facing instruction file. APP treats a version-controlled repository as the publication object and uses \texttt{this http URL} and optional skills to define a paper agent that can explain the work, reproduce key results when possible, and support follow-up research. We describe the design principles and details of the protocol, as well as the agent skills useful for publishing papers under the protocol. We also describe development tools for evaluating and improving the protocol and associated agent skills. Finally, we provide a broader discussion of the future of scientific research in the agent era.
Comments: 16 pages, 5 figures and 1 table
Subjects: Digital Libraries (cs.DL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2606.27386 [cs.DL]
(or arXiv:2606.27386v1 [cs.DL] for this version)
https://doi.org/10.48550/arXiv.2606.27386
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Submission history
From: Xiao-Liang Qi [view email]
[v1] Mon, 15 Jun 2026 08:52:43 UTC (309 KB)
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