Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Video Anomaly Detection and Explanation via Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.05702.
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 2026-08-07T12:26:38.782882Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T14:25:47.024249Z
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 e527dfdf-c073-4f43-9b68-c8f8baf1c070 · inbound
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model cites this paper.
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Video Anomaly Detection and Explanation via Large Language Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:26:38.782882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10896c31-8b20-4635-a97b-4456507cc1fb · inbound
SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models cites this paper.
SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models Video Anomaly Detection and Explanation via Large Language Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:41:51.315197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9539f4a0-c7cd-4201-8999-c33910401d0f · 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 Video Anomaly Detection and Explanation via Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:46:19.486962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73ca25d3-75a5-496e-adec-9ab50552daa1 · 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 Video Anomaly Detection and Explanation via Large Language Models
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:34:00.360891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5fd100f-6032-42d4-9598-01674eeca37e · inbound
Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction cites this paper.
Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Video Anomaly Detection and Explanation via Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:26:17.910177Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 322e5e4d-4623-486d-a1db-6fd8d47bf7e4 · inbound
LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection cites this paper.
LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection Video Anomaly Detection and Explanation via Large Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T14:25:47.025772Z
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 5aaa08a8-22c6-4ee4-a4a6-424ec0fbf477 · inbound
CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection cites this paper.
CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection Video Anomaly Detection and Explanation via Large Language Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:20:25.118568Z
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.