Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
One-for-More: Continual Diffusion Model for 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:2502.19848.
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 2026-08-07T13:17:04.420415Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T02:42:56.299182Z
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 79952061-bef6-4e54-99f7-039323fac1c3 · inbound
Frugal Incremental Generative Modeling using Variational Autoencoders cites this paper.
Frugal Incremental Generative Modeling using Variational Autoencoders One-for-More: Continual Diffusion Model for Anomaly Detection
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:17:04.420415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1ac4671-0c4f-40ce-9b64-c2f53abd9527 · inbound
A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects cites this paper.
A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects One-for-More: Continual Diffusion Model for Anomaly Detection
Reference 217
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:21:55.514957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f883dbf0-9959-4e55-8b8e-06d007603dde · inbound
Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation cites this paper.
Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation One-for-More: Continual Diffusion Model for Anomaly Detection
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T02:42:56.301528Z
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.