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A Laboratory of One: When a Result from an AI Scientist May Stand as a Finding, Who Decides, and What Reopens It · The study

Sources and bibliography

By RISCON Labs AI from public-domain and openly licensed texts on AI-scientist systems · not medical, regulatory or investment advice · the readings through the works named are this study's interpretation · First edition · October 2026

AI-generated editorial illustration: One operator examines a sample within an organized, connected laboratory apparatus.
A Laboratory of One: When a Result from an AI Scientist May Stand as a Finding, Who Decides, and What Reopens ItOpening
In this part
In this part
  1. Bibliography

This study is an expansion by AI of ten public texts on AI-scientist systems. Two are works of the United States government, in the public domain: Executive Order 14363, Launching the Genesis Mission, as published in the Federal Register, and America's AI Action Plan. Eight are articles published under the Creative Commons Attribution 4.0 licence: the papers on the AI Scientist and its second version, Agent Laboratory, Co-Scientist, Kosmos, Robin and Coscientist, and a perspective on the risks of AI scientists, read in full from arXiv or PubMed Central. Every passage in a block quote is one of these texts, word for word, and its source line names the saved file; no quoted passage names a language model. The rest is AI writing. The study does not use IATHEON's records. Nothing here is medical, regulatory or investment advice. The readings through the works named are this study's interpretation.

TextLicenceAddress
Launching the Genesis Mission (Executive Order) (2025), sources/eo-launching-the-genesis-mission-2025.mdPublic domain (US government work)https://www.govinfo.gov/content/pkg/FR-2025-11-28/html/2025-21665.htm
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery (2024), sources/lu-2024-ai-scientist-towards-fully.mdCC BY 4.0https://arxiv.org/abs/2408.06292
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search (2025), sources/yamada-2025-ai-scientist-v2-workshop.mdCC BY 4.0https://arxiv.org/abs/2504.08066
Accelerating scientific discovery with Co-Scientist (2025), sources/gottweis-2025-accelerating-scientific-discovery-co.mdCC BY 4.0https://arxiv.org/abs/2502.18864
Kosmos: An AI Scientist for Autonomous Discovery (2025), sources/mitchener-2025-kosmos-ai-scientist-autonomous.mdCC BY 4.0https://arxiv.org/abs/2511.02824
Robin: A multi-agent system for automating scientific discovery (2025), sources/ghareeb-2025-robin-multi-agent-system.mdCC BY 4.0https://arxiv.org/abs/2505.13400
Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy (2024), sources/tang-2024-risks-ai-scientists-prioritizing.mdCC BY 4.0https://arxiv.org/abs/2402.04247
Autonomous chemical research with large language models (2023), sources/boiko-2023-autonomous-chemical-research-large.mdCC BY 4.0https://pmc.ncbi.nlm.nih.gov/articles/PMC10733136/
Agent Laboratory: Using LLM Agents as Research Assistants (2025), sources/schmidgall-2025-agent-laboratory-using-llm.mdCC BY 4.0https://arxiv.org/abs/2501.04227
America's AI Action Plan (2025), sources/white-house-2025-americas-ai-action-plan.mdPublic domain (US government work)https://www.whitehouse.gov/wp-content/uploads/2025/07/Americas-AI-Action-Plan.pdf

The texts were retrieved on 2026-10-06. The Virtual Lab preprint and article listed in the manifest were held only as bibliographic records and are not quoted; the Genesis Mission order's saved text carries one added line, a title with its number and date, at the top, above the Federal Register text, and the rest of the file is unchanged. The bibliography gives Co-Scientist as 2026 and the risks perspective as 2025, the years of the published records that the works check matched; the saved texts are their arXiv versions, listed above under the arXiv years. This book was written on 2026-10-07.

Bibliography

  • Chris Lu and others, The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery (2024).
  • Yutaro Yamada and others, The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search (2025).
  • Samuel Schmidgall and others, Agent Laboratory: Using LLM Agents as Research Assistants (2025).
  • Juraj Gottweis and others, Accelerating scientific discovery with Co-Scientist (2026).
  • Ludovico Mitchener and others, Kosmos: An AI Scientist for Autonomous Discovery (2025).
  • Ali Essam Ghareeb and others, Robin: A multi-agent system for automating scientific discovery (2025).
  • Xiangru Tang and others, Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy (2025).
  • Daniil A. Boiko and others, Autonomous chemical research with large language models (2023).
  • Joeran Beel and others, Evaluating Sakana's AI Scientist: Bold Claims, Mixed Results, and a Promising Future? (2025).
  • Kyle Swanson and others, The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies (2025).
  • Nathan J. Szymanski and others, An autonomous laboratory for the accelerated synthesis of inorganic materials (2023).
  • Michael Park and others, Papers and patents are becoming less disruptive over time (2023).
  • Nicholas Bloom and others, Are Ideas Getting Harder to Find? (2020).
  • Hanchen Wang and others, Scientific discovery in the age of artificial intelligence (2023).
  • The President of the United States, Launching the Genesis Mission (2025): Executive Order 14363 of November 24, 2025, Federal Register Vol. 90, No. 227.
  • The White House, America's AI Action Plan (2025): Executive Office of the President, July 2025.

Every sentence in a quotation block is IATHEON's record, word for word. The rest is AI's writing from those records and the works the book names, and it does not say which choice is right.

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