Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.03396.
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 2026-08-03T12:43:30.609513Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 095c67d8-98ba-4e94-8e25-f5a8bd5d6572 · inbound
GCR: Geometry-Consistent Routing for Task-Agnostic Continual Anomaly Detection cites this paper.
GCR: Geometry-Consistent Routing for Task-Agnostic Continual Anomaly Detection AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:43:30.609513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb840a92-5e84-4719-be9b-ed5639a42c57 · inbound
CFR-Net:Collaborative Feature Refinement Network for Medical Image Anomaly Detection cites this paper.
CFR-Net:Collaborative Feature Refinement Network for Medical Image Anomaly Detection AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T05:06:54.992349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4748f0b1-c6f1-4630-b5dd-dbed04e2690b · inbound
CFR-Net:Collaborative Feature Refinement Network for Medical Image Anomaly Detection cites this paper.
CFR-Net:Collaborative Feature Refinement Network for Medical Image Anomaly Detection AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T06:58:21.358007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.