99 Acknowledgements: Credits and Thanks

DeepScientist was shaped by many prior systems, open-source efforts, and research discussions. We would like to express sincere thanks to the projects and individuals who inspired, informed, or supported this work.

Project acknowledgements

We especially thank the following projects for their ideas, research direction, and systems inspiration:

• The AI Scientist
• The AI Scientist v2
• AlphaEvolve
• OpenEvolve
• EvoScientist
• AutoSOTA
• Orchestra-Research
• Orchestra-Research/AI-Research-SKILLs
• Overleaf / overleaf/overleaf
• Monaco Editor / microsoft/monaco-editor
• Novel / steven-tey/novel
• paper-plot-skills / Trae1ounG/paper-plot-skills
• nature-skills / Yuan1z0825/nature-skills
• FermiLink / TaoELi/FermiLink

These projects have been important references for thinking about automated research, open-ended exploration, evolutionary search, experiment organization, long-horizon research agents, collaborative LaTeX editing workflows, browser-based code editing experiences, rich notebook-style writing interactions, paper-figure generation and polish workflows, Nature-style scientific writing, data, figure, and presentation skills, and autonomous scientific simulation / package-knowledge workflows.

Personal acknowledgements

We also sincerely thank the following researchers, collaborators, and supporters:

• Shichen Li
• Siqi Wen
• Guangsheng Bao
• Fuchen Shen
• Wenyang Gao
• Luodan Zhang
• Junshu Pan
• Panzhong Lu

We are grateful to all of the above projects and individuals.