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

1 Pith paper cite this work. Polarity classification is still indexing.

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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.

fields

cs.LG 1

years

2026 1

verdicts

UNVERDICTED 1

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representative citing papers

The Spectral Dynamics and Noise Geometry of Muon

cs.LG · 2026-06-07 · unverdicted · novelty 6.0

Muon induces a flat singular-value spectrum bias proven entropy-maximizing under alignment assumptions, with exact dynamics in regression favoring equal nonzero values and empirical gains in NanoGPT but reversal in ViT.

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  • The Spectral Dynamics and Noise Geometry of Muon cs.LG · 2026-06-07 · unverdicted · none · ref 1 · internal anchor

    Muon induces a flat singular-value spectrum bias proven entropy-maximizing under alignment assumptions, with exact dynamics in regression favoring equal nonzero values and empirical gains in NanoGPT but reversal in ViT.