Paper Citation Record · LEDGER

Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.12235.

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

pith.paper-citation-record.v1
2406.12235 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:37:07.644761Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T14:25:47.040463Z

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 7d1e41fd-5c10-4195-8fa5-e5d7aa1fc549 · inbound

Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling cites this paper.

Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:41:19.259926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f32bb91-afe7-4c0a-b389-39defe596999 · inbound

Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling cites this paper.

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T16:37:07.644761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b891609-31d6-4b35-af4f-e00c09217f3e · inbound

Open-Ended Video Game Glitch Detection with Agentic Reasoning and Temporal Grounding cites this paper.

Open-Ended Video Game Glitch Detection with Agentic Reasoning and Temporal Grounding Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:41:03.685016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e44522d4-99e1-4669-84ff-0a55feae0cd1 · inbound

Digital Guardians: The Past and The Future of Cyber-Physical Resilience cites this paper.

Digital Guardians: The Past and The Future of Cyber-Physical Resilience Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

Reference 261

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:46:15.827844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a89c1da4-4bdd-4d0d-8cbb-1ad37d4efaf8 · inbound

LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection cites this paper.

LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:25:47.042000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 37471d6a-a8ee-4190-9da6-bb4d4c938387 · inbound

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration cites this paper.

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:22:47.336243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.