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Beyond a Better Score: Long-Horizon Agentic ML Development and Evaluation Protocol for Physics Time Series
Physics time-series data are central to fundamental discoveries involving dark matter, neutrinos, and gravitational waves. Machine learning has shown strong potential to recover weak scientific signals buried in complex noise. Recent LLM-agent systems further automate ML development, but existing ap
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