Paper Citation Record · LEDGER

DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2410.13571.

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

pith.paper-citation-record.v1
2410.13571 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:06.798754Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:51:54.606855Z

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 a18224bb-e98f-4a00-a2b1-c7b089331193 · inbound

GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving cites this paper.

GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:48:22.306407Z

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 ef19212a-3077-4516-81d1-4350fbb91e2c · inbound

DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment cites this paper.

DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:51:54.612535Z

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 0aec2a2c-1189-425f-8b9f-e4e9687d4572 · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 153

Resolution: unresolved; no resolver link, observed 2026-08-07T15:24:06.798754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8932526d-abc7-4aee-914e-3f08321bbb4d · 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 DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:49.020295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c67f08bc-f778-428f-90cc-4f6569f18fdd · inbound

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models cites this paper.

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T05:02:21.137274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa676b37-5899-4267-b02b-5d3b63f6aa02 · inbound

WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration cites this paper.

WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:28.569588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e8924d-15e9-436e-bb08-0646223bf63a · inbound

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling cites this paper.

EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T19:35:42.856117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fab1dea1-e4ad-4267-bd06-7a493492f36e · inbound

No Redundancy, No Stall: Lightweight Streaming 3D Gaussian Splatting for Real-time Rendering cites this paper.

No Redundancy, No Stall: Lightweight Streaming 3D Gaussian Splatting for Real-time Rendering DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T12:41:50.156120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7a41776-8d75-4bba-a626-eccb28774b1f · inbound

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation cites this paper.

I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T10:34:07.266895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e436e1a-0906-44fa-9cb5-e4cf7b93bfa8 · inbound

Scaling Up Occupancy-centric Driving Scene Generation: Dataset and Method cites this paper.

Scaling Up Occupancy-centric Driving Scene Generation: Dataset and Method DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T08:07:37.889177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48b0eee3-82b1-4cd8-bcf1-51864629ad54 · inbound

VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis cites this paper.

VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:11:01.252345Z

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 b7fe6a9d-e0ef-46fa-912b-3613689f3613 · inbound

AutoAWG: Adverse Weather Generation with Adaptive Multi-Controls for Automotive Videos cites this paper.

AutoAWG: Adverse Weather Generation with Adaptive Multi-Controls for Automotive Videos DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:29:21.926530Z

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 97ac873b-6bc3-46f4-a1cc-415490a8cf79 · inbound

Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation cites this paper.

Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T02:55:46.593392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a00d34f-54f3-4580-80c2-73afbafc19f5 · inbound

muSync-GS: Physics-Synchronized Driving Video Synthesis for Weather and Geometric Road Hazards cites this paper.

muSync-GS: Physics-Synchronized Driving Video Synthesis for Weather and Geometric Road Hazards DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:34:14.014862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.