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RGE reveals that long-horizon agents can drift significantly from their intended tasks, even while appearing compliant at each step, highlighting the need for deeper oversight mechanisms.

Self-supervised GNNs leveraging real timestamps can outperform traditional models in network intrusion detection, achieving state-of-the-art results without the overhead of attention mechanisms.