VCR-Agent uses mechanistic action graphs and verifier filtering to autonomously produce validated biological explanations from the Tahoe-100M atlas, yielding the VC-TRACES dataset that improves factual precision and gene expression prediction when used for training.
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Towards Autonomous Mechanistic Reasoning in Virtual Cells
VCR-Agent uses mechanistic action graphs and verifier filtering to autonomously produce validated biological explanations from the Tahoe-100M atlas, yielding the VC-TRACES dataset that improves factual precision and gene expression prediction when used for training.