Recoverable Identifier

arXiv:2605.05725 · detector doi_compliance · incontrovertible · 2026-05-19 13:18:31.063764+00:00

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Evidence text

Jiaxin Zhuang, Leon Yan, Zhenwei Zhang, Ruiqi Wang, Jiawei Zhang, and Yuantao Gu. See it, think it, sorted: Large multimodal models are few-shot time series anomaly analyzers.CoRR, abs/2411.02465, 2024. doi: 10.48550/ARXIV .2411.02465. URL https://doi.org/10. 48550/arXiv.2411.02465. 13 Table 4: Definitions and synthetic injection rules of the nine anomaly types used in SAGE. ID Type Name Family Definition Synthetic Injection Rule 1 Global point anomaly Point A point that strongly deviates from the global distribution of the series Insert a large isolated spike or drop at a random position. 2 Contextual point anomaly Point A point that appears abnormal only under its local temporal context Inject a local spike or drop within an otherwise smooth region so that it is inconsistent with nearby values. 3 Amplitude change Seasonal A change in the magnitude of a recurring or oscillatory pattern Multiply a periodic segment by an amplitude scaling factor while preserving its frequency. 4 Seasonality anomaly Seasonal A disruption or change in periodic structure or dominant frequency Alter the period or frequency of a periodic segment, or partially break its regular repetition. 5 Trend change Structural A persistent change in the slope or long-term direction of the series Add a piecewise linear drift or slope change after a selected point. 6 Mean change point Structural An abrupt shift in the mean level of the series Add a step-like level shift after a selected change point. 7 Variance c

Evidence payload

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  "reconstructed_doi": "10.48550/arXiv.2411.02465.13",
  "ref_index": 40,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
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