Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.09438.
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 2026-08-12T13:39:56.193694Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T05:57:08.210592Z
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 74287493-946e-4af4-99f9-3a9e13a6c0ca · inbound
Background-Aware Defect Generation for Robust Industrial Anomaly Detection cites this paper.
Background-Aware Defect Generation for Robust Industrial Anomaly Detection Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:39:56.193694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e38e61b0-9a4a-4b35-a632-c8cc0b7f639a · inbound
MAGIC: Few-Shot Mask-Guided Anomaly Inpainting with Prompt Perturbation, Spatially Adaptive Guidance, and Context Awareness cites this paper.
MAGIC: Few-Shot Mask-Guided Anomaly Inpainting with Prompt Perturbation, Spatially Adaptive Guidance, and Context Awareness Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T05:57:08.213684Z
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.