Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.02612.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:32:52.968330Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T02:19:22.846058Z
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 b9d34aba-a19a-4764-a935-16bbdc78c44a · inbound
Foundation Models and Transformers for Anomaly Detection: A Survey cites this paper.
Foundation Models and Transformers for Anomaly Detection: A Survey GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:32:52.968330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4eb71bd-a62d-4ee2-b4c5-b66959740f73 · inbound
Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts cites this paper.
Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:06:24.722351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6f4226a-6fa0-4805-8379-fbced48c724b · inbound
IADGPT: Unified LVLM for Few-Shot Industrial Anomaly Detection, Localization, and Reasoning via In-Context Learning cites this paper.
IADGPT: Unified LVLM for Few-Shot Industrial Anomaly Detection, Localization, and Reasoning via In-Context Learning GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:20:12.592442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb2548ae-9fb4-45ca-bd88-a64880ad0860 · 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 GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:46:00.766342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation afd26148-1e38-4cf5-b3a5-f49cda1669db · inbound
GRIDEX: Grid-Grounded Forensic Explanations for Deepfake Spectrogram Analysis cites this paper.
GRIDEX: Grid-Grounded Forensic Explanations for Deepfake Spectrogram Analysis GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T02:19:22.847662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.