Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.11681.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:45:25.264694Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T12:46:19.916306Z
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 4074c7df-7cad-4954-af06-c9bd16ab20c5 · inbound
Foundation Models and Transformers for Anomaly Detection: A Survey cites this paper.
Foundation Models and Transformers for Anomaly Detection: A Survey VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:32:52.944516Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 299a4172-19c4-47f2-aeb5-75bf12ab6a03 · inbound
VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding cites this paper.
VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T12:46:19.921853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5fcb7981-d957-438d-970c-7fe3370f73e1 · inbound
Glance, Scrutinize, and Think: Advancing Video Anomaly Detection from Training-Free to Agentic Reasoning cites this paper.
Glance, Scrutinize, and Think: Advancing Video Anomaly Detection from Training-Free to Agentic Reasoning VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:45:25.264694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.