Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.11561.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T12:15:53.414221Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T02:15:18.079273Z
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 58ee2b46-a8e1-486a-aa04-e804e28352cc · inbound
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models cites this paper.
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T12:15:53.414221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b774cea5-f833-4ddc-9ff3-0357b65e6447 · inbound
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection cites this paper.
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:15:18.082419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 69d044ae-0f2b-46d3-b9fe-6663307c8f8e · inbound
Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection cites this paper.
Mixture Prototype Flow Matching for Open-Set Supervised Anomaly Detection Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T06:35:09.528801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.