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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 9 inbound Pith citation observations for arXiv:2401.05702.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.05702 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:09.799641Z

measured 0 of 1 external citation measurements

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 e63d5cbe-9a66-4311-9a70-570cae6a6718 · inbound

Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought cites this paper.

Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought Video Anomaly Detection and Explanation via Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:09.799641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:09:09.799641Z digest=sha256:8ff200a6ddca02e6b27a3b72162797c554ae1288cc80839d7e46e42e22ef769a

Observation 2e95fe7f-147b-4f0d-9287-6c93387b9bce · inbound

VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning cites this paper.

VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning Video Anomaly Detection and Explanation via Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:07.271026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:07.271026Z digest=sha256:2986134ee257c6707ecfa9b5f27765cbf23bbdb2d478754c052a247c25d07df9

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.

source=pdf_text observed=2026-08-07T12:26:38.782882Z digest=sha256:838df262e3482d7129d99ce82e1a2dabad1fced01cdff696434e447d7144b516

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.

source=pdf_text observed=2026-08-07T00:41:51.315197Z digest=sha256:104f9e824004104e1ad4aec70b2314db1b33580a0d634de19b8b2c1d69cd0491

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.

source=pdf_text observed=2026-08-06T12:46:19.486962Z digest=sha256:b88c44f72979a797d37ba98acdcc369529fad8fd8a12607795ee66ad78fcf392

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.

source=pdf_text observed=2026-08-06T12:34:00.360891Z digest=sha256:16de63401a236784e1b85e35c0261587e89e3e6bfea99f8d9f9ba90fbc1015cb

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.

source=pdf_text observed=2026-08-03T08:26:17.910177Z digest=sha256:b5d222d0ce4463432bfd9505726459953081b33f27847a4c85d5280fa2293cce

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.

source=pdf_text observed=2026-06-30T21:19:12.655706Z digest=sha256:16987d54978937c6593cd0407f01536803c8e6529cb1b30eb35cc1f0155317c0

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.

source=pdf_text observed=2026-05-25T05:17:10.587303Z digest=sha256:c678cf2811ced49c1415f9e33d68e129d6ea613c5f9b1cca93afd3f54586785c