Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.06748.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:36:22.605830Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:46:00.934020Z
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 d9e7c44f-c8b7-410b-b0c8-50c524d77fc5 · inbound
Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection cites this paper.
Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:36:22.605830Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bd94abc-6b47-4128-b0c6-b2393c5f856d · inbound
MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models cites this paper.
MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:46:00.939280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.