EP328: FlowWM and branching futures

Title: Flow Matching in Feature Space for Stochastic World ModelingSource: http://arxiv.org/abs/2606.29059v1Summary:This work introduces FlowWM, a novel stochastic world modeling architecture that successfully performs generative flow matching directly in high-dimensional pretrained feature spaces. By incorporating a differentiable one-step projection, it establishes a new primitive for planning agents to forecast diverse, temporally consistent futures.