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Competing with AI Scientists: Agent-Driven Approach to Astrophysics Research

2026-03-25

Abstract excerpt

<title>Abstract</title> <p> We present an agent-driven approach to the construction of parameter inference pipelines for scientific data analysis. Our method leverages a multi-agent system, Cmbagent <sup>1</sup> (the analysis system of the AI scientist Denario <sup>2</sup> ), in which specialized agents collaborate to generate research ideas, write and execute code, evaluate results, and iteratively refine t...

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Identifiers and source

Literature Corpus work
d559889c-8ebd-53f4-b59b-00ae25257be0
DOI
10.21203/rs.3.rs-9114794/v1
Open publication

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