AgentCollabBench introduces 900 diagnostic tasks showing multi-agent collaboration failures stem from topology, not just model capability. Communication topology explains 7-40% of variance as converging nodes discard minority-branch constraints.
BSTabDiff partitions high-dimensional tabular features into latent blocks with shared subunits to learn global dependencies in compact space, enabling stable synthesis of realistic HDLSS data with copula-driven dependence and explicit missingness.
<|message_model|><|content_text|>A Sample-Sketch-Solve paradigm estimates squared Wasserstein distance between smooth distributions within ε error in near-optimal time. For α-Hölder smooth distributions on (0,1)^d it achieves ε^{-max(2,(d+1+o(1))/(1+α))} runtime, with optimal Θ(ε^{-2}) in 2D for α>1
TimeWarp evaluates web agents on evolving UIs, finding vision agents vulnerable to changes and fine-tuned text agents brittle, while plan-distillation training via TimeTraj substantially improves robustness.