AI RESEARCH
Chreode: A Cell World Model for One-Step Temporal Dynamics and Perturbation Prediction
arXiv CS.LG
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ArXi:2605.28111v1 Announce Type: new Predicting how a cell will change its transcriptional state under a developmental signal or a genetic perturbation is the computational core of in-silico biology and the AI Virtual Cell program. Existing approaches either fit static control-to-treated maps that discard time, or solve multi-step ODE / Schr\"odinger-bridge problems on each dataset independently. We