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Paper Citation Record · LEDGER

VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.01095.

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

pith.paper-citation-record.v1
2412.01095 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:07.334149Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:46:19.866042Z

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 b2f4c227-106b-434c-82e3-dbbe989bbd52 · inbound

Flashback: Memory-Driven Zero-shot, Real-time Video Anomaly Detection cites this paper.

Flashback: Memory-Driven Zero-shot, Real-time Video Anomaly Detection VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:07.334149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:07.334149Z digest=sha256:de5cbdba032678f1cde507e28486718d36849f8bb19a20f9c89948dbcb5c5263

Observation d4618450-fc9c-451a-88e6-c3d195ba3f56 · inbound

Reasoning Segmentation for Images and Videos: A Survey cites this paper.

Reasoning Segmentation for Images and Videos: A Survey VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:19.003367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:19.003367Z digest=sha256:c3ef48a5eb37e25c442f47f20804ba8d79c038483206fb3febfdd6bdceb57c0f

Observation 92a88d12-b3c7-4dae-8ef0-d5de816ef36a · 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 VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:14.656477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:09:14.656477Z digest=sha256:9ef195f583e2ee309658b3adf0968eac178584e03d548647ead76471f406175a

Observation 5a199672-00ed-417b-8b04-83f218c70329 · inbound

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

VAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:09.509847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:09.509847Z digest=sha256:d40e1a5bc66506dac0bffb2ff5d0dd7cf11362609298205f25e5924d7bfd95eb

Observation 6aee25f6-b75d-424d-9a2c-0abb9f796861 · 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 VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:46:19.873190Z

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=2026-08-06T12:46:19.464603Z digest=sha256:4a4227ebc15a868279d564cde933d5237549d061cf31da3142dbf4e63292c2bb