Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.04635.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-02T16:18:30.022661Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T00:39:16.725006Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e54838e9-df9c-415e-8339-e65334bb9b1f · inbound
SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering cites this paper.
SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:39:16.726869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7b7411df-f9e4-4aea-ad64-f169f663bae7 · inbound
Detecting the Undetectable: Enhancing Unsupervised time series Anomaly Detection via Active Learning cites this paper.
Detecting the Undetectable: Enhancing Unsupervised time series Anomaly Detection via Active Learning A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T16:27:08.437836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.