Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.19643.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:19:15.795832Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-05T09:20:52.693163Z
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 7ff1a549-6bb7-412f-a9b4-874739723078 · inbound
A Survey on Diffusion Models for Anomaly Detection cites this paper.
A Survey on Diffusion Models for Anomaly Detection Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:19:15.795832Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c384fc0-3ff5-4cb6-b263-1a4b5d0273ef · inbound
Semantic Iterative Reconstruction: One-Shot Universal Anomaly Detection cites this paper.
Semantic Iterative Reconstruction: One-Shot Universal Anomaly Detection Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T00:03:20.028022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6e217f93-0204-452b-9abe-a43da0f07256 · inbound
Towards Modality-Agnostic Medical Image Anomaly Detection: A Training-Free Manifold Refinement Approach cites this paper.
Towards Modality-Agnostic Medical Image Anomaly Detection: A Training-Free Manifold Refinement Approach Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T02:53:29.772065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 85cd8dcc-11c1-4844-bdfe-f2d1a11eb490 · inbound
Towards Modality-Agnostic Medical Image Anomaly Detection: A Training-Free Manifold Refinement Approach cites this paper.
Towards Modality-Agnostic Medical Image Anomaly Detection: A Training-Free Manifold Refinement Approach Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-05T09:20:52.694770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 572be6ec-61e0-493d-8b0e-47ce5e447193 · inbound
Group Equivariant Diffusion for Anomaly Detection in Computational Cytology cites this paper.
Group Equivariant Diffusion for Anomaly Detection in Computational Cytology Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:19:25.500530Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.