Patched-DeltaNet: Token-Level Event-Driven Memory for Linear-Time Anomaly Detection

ArXi:2605.27992v1 Announce Type: new Time series anomaly detection is critical for maintaining the reliability of mission-critical systems. While Transformer-based models like PatchTST have shown remarkable performance, their $\mathcal{O}(L^2)$ computational complexity severely limits deployment in resource-constrained environments. In this paper, we propose Patched-DeltaNet, a novel architecture combining time-series patching with Gated Delta Networks.