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Project Rachel: Can an AI Become a Scholarly Author?

arXiv 2511.14819 ↗First posted 18 Nov 2025cs.AIcited by 0

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Abstract (arXiv)

This paper documents Project Rachel, an action research study that created and tracked a complete AI academic identity named Rachel So. Through careful publication of AI-generated research papers, we investigate how the scholarly ecosystem responds to AI authorship. Rachel So published 10+ papers between March and October 2025, was cited, and received a peer review invitation. We discuss the implications of AI authorship on publishers, researchers, and the scientific system at large. This work contributes empirical action research data to the necessary debate about the future of scholarly communication with super human, hyper capable AI systems.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 39 references that are in the map. First posted on arXiv 18 Nov 2025.

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References · 8

  1. 2024The AI Scientist: Towards Fully Automated Open-Ended Scientific Discoverycited by 1,002
  2. 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 221
  3. 2025Deep Research Agents: A Systematic Examination And Roadmapcited by 122
  4. 2024OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMscited by 64
  5. 2025AgentRxiv: Towards Collaborative Autonomous Researchcited by 64
  6. 2024Risks of AI Scientists: Prioritizing Safeguarding Over Autonomycited by 49
  7. 2024Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challengescited by 41
  8. 2025aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientistscited by 9

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