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Decades of hand-crafted heuristics for counting and sampling constrained binary matrices can be replaced by a single amortized GFlowNet that achieves a 99.8% median effective sample fraction across unseen margins.
Visual design no longer requires choosing between diffusion fidelity and code editability: orchestrating modular asset diffusion through a VLM-driven HTML/CSS coding loop delivers fully interactive, layer-decoupled graphic layouts.
Current scientific agents struggle to maintain a coherent narrative across evidence and calculations, with only 34.81% achieving strict accuracy in complex tasks.
