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The paper proposes CMR-Mamba, a causal mechanism monitoring method using Mamba state-space models for unsupervised industrial fault detection, focusing on coupling faults and evaluated on electromechanical, hydraulic, and cyber-physical systems.
This paper evaluates the robustness of multi-sensor fusion for cattle posture classification under temporal distribution shift, finding that multimodal models suffer significant performance drops and that simpler single-sensor models generalize better, highlighting shortcut learning issues.