pAI/MSc: ML Theory Research with Humans on the Loop

Mahmoud Abdelmoneum, Pierfrancesco Beneventano, Tomaso Poggio
4/22/2026
cs.AIcs.LGcs.MA

No confident code implementation found for this paper.

Abstract

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{abdelmoneum2026paimsc,
  title  = {pAI/MSc: ML Theory Research with Humans on the Loop},
  author = {Mahmoud Abdelmoneum and Pierfrancesco Beneventano and Tomaso Poggio},
  year   = {2026},
  eprint = {2604.20622},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2604.20622v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2604.20622.svg)](https://codeofpaper.com/paper/2604.20622)

Discussion