发表机构
Deutsches Zentrum für Luft- und Raumfahrt (DLR)（德国航空航天中心（DLR））
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究将F(AI)2R实验的溯源模型扩展为aiprov，涵盖任何含人工智能工件。方法被打包为可执行技能，由人工智能代理操作，能解析操作员身份，把关图一致性并发布论文版本，以自身为例展示溯源记录。
AI 中文摘要
F(AI)2R是一种涉及人工智能的FAIR研究，包括人工智能辅助创作阶段和对每个工件的机器可读审核阶段。当前人工智能系统能起草、重构和验证研究工件，但它们的贡献很少以可供人类或机器审核的形式记录。基于原始F(AI)2R实验，我们将其溯源模型扩展到学术写作之外，形成aiprov，这是一个涵盖任何涉及人工智能工件的PROV - O扩展。我们将该方法打包为人工智能代理可自行操作的可执行技能，设置时向人类操作员询问ORCID ID，从公共注册表解析其身份，搭建持续集成，在图一致性方面对每次推送进行把关，并发布本文当前版本。本文本身就是案例研究，其生产中的每项活动、主张和来源都记录在存储库的溯源图中，遵循两个不变量：无无父主张，且只有人类可授予验证梯级。
英文摘要
F(AI)2R is FAIR research with AI in the loop, twice: an AI-assisted authoring pass and a machine-readable audit pass over every artefact. AI systems now draft, refactor, and verify research artefacts, yet their contributions are rarely recorded in a form a later human or machine can audit. Building on the original F(AI)2R experiment, we generalize its provenance model beyond scholarly writing into aiprov, a PROV-O extension covering any AI-in-the-loop artefact, and we package the method as an executable skill that an AI agent operates itself: setup asks the human operator for their ORCID ID, resolves their identity from the public registry, and scaffolds continuous integration that gates every push on graph conformance and publishes the current build of this very paper. The paper is its own case study. Every activity, claim, and source in its production is recorded in the repository's provenance graph under two invariants: no parentless claim, and verification rungs that only humans may grant.
