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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:16:34.225388Z

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 f83f2773-7020-4dc1-ad3f-c3b402b3fa66 · 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 DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T15:16:34.225388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:16:34.225388Z digest=sha256:8a192775a0378ad0ad0a485cc7c71bd0be9e2fa25161710c5e4909645679690d

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.

source=pdf_text observed=2026-08-07T13:13:47.026476Z digest=sha256:25a9ac0c6891a28d3d1aa10877e5a5b57fc3aa81b30514c587f2f85c80c09ff5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T16:53:54.166457Z digest=sha256:37d1b53072b7858b3fa082fc6b6ee22f4b73fd4f5ee9ab719c852e5e54dd8292

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T23:21:12.987597Z digest=sha256:1f9ee15bfe046a5e5104e663a60d1e12c719710e6c15e0b6cd742bfc64e0b8e0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T17:29:18.513507Z digest=sha256:67730b5b8610fc22c62296d495579f8330e36f3f13a9b3c85379c5eff56e1d09