Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.06661.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:03.755140Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:16:07.323421Z
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 090d4053-1c5c-48ee-bb07-ddd1918e9096 · inbound
SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images cites this paper.
SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:01:03.755140Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afae3e3e-2bc1-4377-b75c-274f37e83a79 · inbound
OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning cites this paper.
OmniAD: Detect and Understand Industrial Anomaly via Multimodal Reasoning AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:21:02.033225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3157e517-2129-469c-91db-4c64aceddda6 · 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 AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
Reference 206
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:21:54.072728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 609b98ff-d2b8-4927-81df-0e5dd390d3c2 · inbound
Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models cites this paper.
Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:51:18.544146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7ec6d782-4953-4e42-a47d-9f77e7b651d5 · inbound
EV-CLIP: Efficient Visual Prompt Adaptation for CLIP in Few-shot Action Recognition under Visual Challenges cites this paper.
EV-CLIP: Efficient Visual Prompt Adaptation for CLIP in Few-shot Action Recognition under Visual Challenges AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:16:07.329098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.