pAI/MSc: ML Theory Research with Humans on the Loop
arXiv cs.AI / 4/23/2026
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Key Points
- pAI/MSc is an open-source, modular multi-agent system designed to support academic research workflows, especially for ML theory and related quantitative fields.
- The project aims to significantly reduce the amount of human guidance needed to turn a specified hypothesis into a literature-grounded, mathematically established, experimentally supported, submission-ready manuscript draft.
- The system is intentionally not fully autonomous: it focuses on keeping humans in the loop rather than enabling autonomous scientific ideation or fully automated research.
- The initial emphasis is on machine learning theory, targeting the stages from hypothesis to draft that would otherwise require substantial manual steering.
- The authors position pAI/MSc as a practical research-assistant framework geared toward producing manuscript drafts oriented toward academic submission.
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