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Paper Citation Record · LEDGER

When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2004.03044.

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

pith.paper-citation-record.v1
2004.03044 v1

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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:57:35.839149Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:22:12.660950Z

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 5d3fa0c7-8f6a-4bcc-9baa-11bb3ec0edc0 · inbound

TimeRefine: Temporal Grounding with Time Refining Video LLM cites this paper.

TimeRefine: Temporal Grounding with Time Refining Video LLM When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T16:57:35.839149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:57:35.839149Z digest=sha256:40de1a22c12f5d8d111f1c3c02b1757c53c829560d78c632bb7bff7bcabf4c49

Observation 5723f6bc-9fb7-4f25-930a-a69cfcad6f2d · inbound

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control cites this paper.

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-11T15:16:34.277111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:16:34.277111Z digest=sha256:8b53112658c8ef15a7c79b69b9b27d042a3d5425a45c01e009055bc19c2c36d6

Observation bb57c0c9-3fbc-4072-a6a9-6d8e14f0b13f · inbound

DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments cites this paper.

DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T23:42:11.831236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:42:11.831236Z digest=sha256:5e8f1bb72d0125120adae18c8fed64778757feef3231c958fbc3a0ece2f2bfe3

Observation 3aa377e1-dcd3-4d29-baa8-615c4ea38524 · 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 When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T12:34:00.294526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:34:00.294526Z digest=sha256:be49739c89478e39d8cb43067701062f9ce548fae9442966c98a0ca85a74e71d

Observation b7afa57d-7493-4fc7-8b89-b3d65fa5ee8b · inbound

Asleep at the Wheel: JEPA's Limitations in Evaluating Novel Driving Data cites this paper.

Asleep at the Wheel: JEPA's Limitations in Evaluating Novel Driving Data When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T00:22:12.666418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T00:22:12.627888Z digest=sha256:cfd8a8bdf5e8842e7f7b2fd697a8dd7bb216e97655fba61900601a31a34b9ca4