Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.06620.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:00:10.685126Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:27:08.429760Z
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 d9a95301-f4bd-42d1-ada1-c485d864169e · inbound
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark cites this paper.
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:00:10.685126Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12d11cd0-3e98-42f4-9c05-c74c1e241a9f · 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 Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T16:27:08.430928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.