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2025arXiv

AgentRxiv: Towards Collaborative Autonomous Research

Samuel Schmidgall, Michael Moor

What this work does

Allows independent agent laboratories to publish/retrieve reports from a shared archive and build on previous computational research.

Connection to discovery

A model of population-level research memory and reusable discovery artifacts beyond one agent's context window.

Evidence

Inspected the archive workflow and repeated prompting-technique experiments on MATH-500, including cost/speed tradeoffs of multiple labs.

Scope and limitations

Repeated work on a fixed visible benchmark can overfit. Shared reports can propagate unsupported claims; faster progress must be compared at equal total compute.

THE RESEARCH CONVERSATION

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