Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adversarial Denoising Diffusion Model for Unsupervised Anomaly Detection
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.04382.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:16:11.523016Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:18:55.678037Z
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 52a18888-da78-41f6-9e60-6fdeebcf4764 · inbound
Research on Anomaly Detection Methods Based on Diffusion Models cites this paper.
Research on Anomaly Detection Methods Based on Diffusion Models Adversarial Denoising Diffusion Model for Unsupervised Anomaly Detection
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:16:11.523016Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7dd34cfb-94e1-4ead-8eaf-bc9f885bf9e0 · inbound
Generative AI and Federated Learning for Intrusion Detection Systems: A Survey cites this paper.
Generative AI and Federated Learning for Intrusion Detection Systems: A Survey Adversarial Denoising Diffusion Model for Unsupervised Anomaly Detection
Reference 106
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:18:55.680868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.