When Kernel Ridge Regression Meets the H\"older-Zygmund Class: Minimax Optimality and Failure of Properness

An arXiv statistical machine learning feed containing newly announced and cross-listed research papers on kernel regression, reduced-order modeling, domain generalization, anomaly anticipation, forecasting consistency, edge LLM agents, adaptive sensing, high-dimensional distribution estimation, ensemble stability, physics-informed kernels, clustering, multi-objective bandits, and diffusion sampling. The content is academic research with no apparent cybersecurity incident, vulnerability disclosure, exploit, malware, or threat-actor intelligence.