Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.08059.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T01:53:17.544448Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T13:54:44.032107Z
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 75bc2105-1b2d-4e5e-bcb1-3bec712760a6 · inbound
UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models cites this paper.
UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T18:55:03.383301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d2d8c10a-c743-4cd0-b6da-2ccb3b28243e · inbound
Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces cites this paper.
Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T13:54:44.033500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7a4171ba-8603-48c1-a703-68f28dcc4921 · inbound
SwinAD: Multi-stage feature reconstruction for unsupervised industrial anomaly detection cites this paper.
SwinAD: Multi-stage feature reconstruction for unsupervised industrial anomaly detection LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:53:17.544448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.