A novel unsupervised anomaly detection method for time series using Haar wavelets and a designed t-test outperforms state-of-the-art benchmarks across 343 datasets.
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RSD fits shared three-anchor charts S_t to GPT-2 hidden states for target words, derives co-membership readouts M_t, and audits against WiC same-sense labels, passing 16 of 53 words as diagnostic coverage.
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Fast and Accurate Anomaly Detection in Time Series
A novel unsupervised anomaly detection method for time series using Haar wavelets and a designed t-test outperforms state-of-the-art benchmarks across 343 datasets.