Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey on Foundation-Model-Based Industrial Defect Detection
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.19106.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:51.080562Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T00:46:24.138702Z
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 8f49c64e-36e8-4df2-ba16-27695cde05d3 · inbound
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things cites this paper.
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things A Survey on Foundation-Model-Based Industrial Defect Detection
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:14:51.080562Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4629028-f474-471c-9339-70eab1758c08 · inbound
NexViTAD: Few-shot Unsupervised Cross-Domain Defect Detection via Vision Foundation Models and Multi-Task Learning cites this paper.
NexViTAD: Few-shot Unsupervised Cross-Domain Defect Detection via Vision Foundation Models and Multi-Task Learning A Survey on Foundation-Model-Based Industrial Defect Detection
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:42:10.254754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 883cb215-04bf-4e9b-ad16-edf1c7dc0690 · inbound
Through the LENS: Local Geometric Decomposition of Vision-Language Model Representations cites this paper.
Through the LENS: Local Geometric Decomposition of Vision-Language Model Representations A Survey on Foundation-Model-Based Industrial Defect Detection
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T00:46:24.144476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.