Paper Citation Record · LEDGER

DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.10738.

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

pith.paper-citation-record.v1
2410.10738 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:47.026476Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:06:14.307746Z

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 85b4494e-96cf-411c-a40d-aec887d2c06c · inbound

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control cites this paper.

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:47.026476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cc9d6ee-5a4f-4641-805c-a0a369f0bd89 · inbound

CT-1: Vision-Language-Camera Models Transfer Spatial Reasoning Knowledge to Camera-Controllable Video Generation cites this paper.

CT-1: Vision-Language-Camera Models Transfer Spatial Reasoning Knowledge to Camera-Controllable Video Generation DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:56:00.434725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fdbea618-94f7-4432-bb8d-e8965f1fc235 · inbound

CameraNoise: Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise Warping cites this paper.

CameraNoise: Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise Warping DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:22:46.727089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 30bee7fe-f7fb-4145-9793-d21d4f3bddf9 · inbound

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends cites this paper.

Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model

Reference 210

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:14.309192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.