Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Learning for Video Anomaly Detection: A Review
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.05383.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:43:06.875392Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:51:03.987386Z
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 de6cdf92-6b1d-4796-9fd7-13e3091f4760 · inbound
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges cites this paper.
Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges Deep Learning for Video Anomaly Detection: A Review
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:43:06.875392Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7ee42d3-2f38-4557-b071-e817ba8dab60 · inbound
The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM cites this paper.
The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM Deep Learning for Video Anomaly Detection: A Review
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:34:00.216618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation feb4a9b7-f00e-4363-8b27-fc999ea4d478 · inbound
Normality Calibration in Semi-supervised Graph Anomaly Detection cites this paper.
Normality Calibration in Semi-supervised Graph Anomaly Detection Deep Learning for Video Anomaly Detection: A Review
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T12:48:09.310467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38bc31c8-7759-4903-8426-2a46d0cb0355 · inbound
ESOM: Efficiently Understanding Streaming Video Anomalies with Open-world Dynamic Definitions cites this paper.
ESOM: Efficiently Understanding Streaming Video Anomalies with Open-world Dynamic Definitions Deep Learning for Video Anomaly Detection: A Review
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:51:04.086766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a6e5af97-7102-4e38-8dd0-03c44cbee2ff · inbound
Failure Identification in Imitation Learning Via Statistical and Semantic Filtering cites this paper.
Failure Identification in Imitation Learning Via Statistical and Semantic Filtering Deep Learning for Video Anomaly Detection: A Review
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:40:26.536630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.