Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.10760.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:05:23.990139Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T09:49:44.605926Z
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 3c6c8bd0-0064-4364-9231-c0f241becb84 · inbound
Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions cites this paper.
Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:05:23.990139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6832b4c1-aa7f-46f5-87a1-7d334152cf23 · inbound
MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection cites this paper.
MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
Reference 101
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T09:49:44.607358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.