Paper Citation Record · LEDGER

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2502.15672.

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

pith.paper-citation-record.v1
2502.15672 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:31:52.200536Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T15:43:53.822146Z

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 98a69bdf-aea7-4352-a7bd-f5314615b69f · inbound

A Survey of World Models for Autonomous Driving cites this paper.

A Survey of World Models for Autonomous Driving VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T18:31:52.200536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d2f59fb-38cf-4392-b6ad-e788b6dbb978 · inbound

A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.

A Survey on Vision-Language-Action Models for Autonomous Driving VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:04.325481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa5fb24-5ed8-48a9-bf5f-1e51a0fa7e99 · inbound

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model cites this paper.

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:28.485169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4adec688-ce17-42ab-b3d9-c6d341f9820c · inbound

Back to the Features: DINO as a Foundation for Video World Models cites this paper.

Back to the Features: DINO as a Foundation for Video World Models VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T14:24:19.834310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2751700a-1f19-4ded-baaa-46881034eee9 · inbound

3D and 4D World Modeling: A Survey cites this paper.

3D and 4D World Modeling: A Survey VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T06:04:04.374758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 325748e3-67a1-45d0-9882-71269879cebe · inbound

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving cites this paper.

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T06:48:00.985516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 89e6d0d1-cf91-4507-9fa9-6b3bbe111bb1 · inbound

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World cites this paper.

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T17:02:30.307199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0ea12a4-9b2e-4d5b-80af-86c35cc585cd · inbound

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World cites this paper.

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:38:21.101596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9b29dd54-7774-48f9-84f0-cb4b9ca50da6 · inbound

What Drives Success in Physical Planning with Joint-Embedding Predictive World Models? cites this paper.

What Drives Success in Physical Planning with Joint-Embedding Predictive World Models? VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T15:34:15.040722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 42d55493-7c92-423a-85bd-5bd24310d882 · inbound

Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving cites this paper.

Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T06:48:14.191308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f59e3f4d-4712-4943-ba46-92d8580d0f8c · inbound

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms cites this paper.

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 196

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:38:36.161667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50dd9433-6df4-4d20-b495-d3d5b72f6c24 · inbound

Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction cites this paper.

Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:45:58.641574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2769e7f4-f4e9-4772-874e-dddee224a7b6 · inbound

The DAWN of World-Action Interactive Models cites this paper.

The DAWN of World-Action Interactive Models VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:07:07.678692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f47508d-f119-4ef8-82f3-549e1adced3b · inbound

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving cites this paper.

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:08:12.278621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cbd00732-772b-428c-9d10-d10f5915c54d · inbound

DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving cites this paper.

DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:43:28.473188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a7a1c77e-063d-44ca-b1d0-00b978817af9 · inbound

StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement cites this paper.

StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:25:59.846533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87d69626-fb14-4b87-a5ce-4d8a6531fb43 · 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 VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 209

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:06:13.850205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 709c31e9-d661-4539-ac46-7da35e86cb31 · inbound

Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning cites this paper.

Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:57.119337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cadc6e75-d750-4cbb-8a99-f63bba9803fa · inbound

BadDreamer: Transferable Backdoor Attacks against Video World Models for Autonomous Driving cites this paper.

BadDreamer: Transferable Backdoor Attacks against Video World Models for Autonomous Driving VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:29:36.979775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 44c1b504-bba6-4485-a0b8-5d631976042e · inbound

ReWorld: Learning Better Representations for World Action Models cites this paper.

ReWorld: Learning Better Representations for World Action Models VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:58.452771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff6a075e-c081-4139-ad56-7bff0a1dea61 · inbound

Multiplayer Interactive World Models with Representation Autoencoders cites this paper.

Multiplayer Interactive World Models with Representation Autoencoders VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 171

Resolution: verified exact; local_arxiv, observed 2026-07-07T15:43:53.823503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da15717e-800f-48ba-a027-cb2082b60a19 · 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 VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-02T02:55:48.680090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00e38f09-7224-4b07-8111-06e31b38bb7c · inbound

Mirror Learning cites this paper.

Mirror Learning VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T00:36:43.229581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c079b5-8d4b-461f-99cd-a960adf1d6c0 · inbound

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features cites this paper.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features VaViM and VaVAM: Autonomous Driving through Video Generative Modeling

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T18:25:51.309965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.