We present pAI/MSc, an open-source, customizable, modular multi-agent system for academic research workflows. Our goal is not autonomous scientific ideation, nor fully automated research. It is narrower and more practical: to reduce by orders of magnitude the human steering required to turn a specified hypothesis into a literature-grounded, mathematically established, experimentally supported, submission-oriented manuscript draft. pAI/MSc is built with a current emphasis on machine learning theory and adjacent quantitative fields.

翻译：我们提出pAI/MSc，一个面向学术研究工作流的开源、可定制、模块化多智能体系统。我们的目标并非自主科学构思或全自动研究，而是更聚焦且更实际：将指定假说转化为有文献依据、有数学支撑、有实验验证、面向投稿草稿所需的人类引导工作降低数个数量级。pAI/MSc当前侧重于机器学习理论及其邻近定量领域。