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Paper Citation Record · LEDGER

Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2311.17918.

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

pith.paper-citation-record.v1
2311.17918 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:14:11.321063Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:55:40.717992Z

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 96f50292-a182-42d3-872f-949ad6711854 · inbound

EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation cites this paper.

EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T21:41:59.651962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:41:59.651962Z digest=sha256:49eabb99ded06c5c67dfd99b30140d2a2f8de22d7bbe7f7d96825fb835547ce9

Observation 8689e171-6ffd-4bd5-8315-cf8a6d575c1f · inbound

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model cites this paper.

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:00.689153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:00.689153Z digest=sha256:eec49075ce4c3c5fe750bbfdc8e121e09e5dea198bef213ecd19a7c6a253a903

Observation cde6eff1-90e7-4226-a997-7f684fc457c5 · inbound

PADriver: Towards Personalized Autonomous Driving cites this paper.

PADriver: Towards Personalized Autonomous Driving Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T23:14:11.321063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:14:11.321063Z digest=sha256:306f25d7821856cf4cebe21e81c947e8c5f30e2f6b0e98aa6c33ba75a2510255

Observation 1ebc326e-d4e0-4b75-a611-391c3ae3a931 · inbound

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

Generative AI for Autonomous Driving: A Review Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 146

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:06.760604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:06.760604Z digest=sha256:f95b0c01b8814d397481bb803bc53550c728ebdbfd78c53a314cba6b5e44c930

Observation 1c101253-eb39-4a4f-b381-4443ca5cda83 · inbound

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos cites this paper.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:31.414215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:31.414215Z digest=sha256:019dd7f6f106d61b3ff00f56403dc3a5a3137de164f5cc76f6800fd3a82eecfc

Observation 5db1b862-e40d-4a43-8d70-25241db47fe0 · inbound

LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model cites this paper.

LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:46:59.339105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:46:59.339105Z digest=sha256:6bb8d2dc7b963ccfada5dce64451c9972d6281342bd9786737abf4b7216308cf

Observation cf75dde3-2c2e-4af2-bfd4-22db530aadc7 · 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 Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T05:02:21.103764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:21.103764Z digest=sha256:7897c49c380eac63489ad6cb42233bec9e7a1ec15b13e805e1b91271236f2cdf

Observation 6479f533-0276-4b16-ae5e-c90d51c72f15 · inbound

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model cites this paper.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T11:32:33.582916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:32:33.582916Z digest=sha256:3fb4c7454e682c290ea894ec9d7507266560a00dca2060732b67108d00a39647

Observation 2c39a0a2-a781-40e4-a308-237cc7da18fd · inbound

UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving cites this paper.

UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T12:06:28.250589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:06:28.250589Z digest=sha256:f8edebd02847263f2ede70a0f9f9525ab6be9e6f9f6ce2ad83b54f3bececb333

Observation 126c7964-3567-4120-9ea9-07e89eebb929 · inbound

Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation cites this paper.

Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:01:06.192350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T04:18:35.668119Z digest=sha256:bd589e794dbf99b53da9ecd1030205ed80fbf4fdb27066259e321a764fe1d810

Observation 77fce73a-53a7-401d-b301-44bc53774df1 · inbound

InfiniVerse: Occupancy Guided Unbounded Scene Generation for Autonomous Driving cites this paper.

InfiniVerse: Occupancy Guided Unbounded Scene Generation for Autonomous Driving Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:55:40.721771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T06:05:17.158363Z digest=sha256:4b5d2996a93c6abaf8012a87771d0efb7238845248fc167b55ec020db8625c6a

Observation 6ec52002-2aaf-41db-9308-45be9397c440 · 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 Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T02:55:45.519198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:55:45.519198Z digest=sha256:a6f02a5ecb4333aec49d6e0906e7b672a805f54843529ad274730c9f81df2944

Observation fb26dfe3-c298-4983-ac94-43197cb9d2af · inbound

Auto-JEPA: A Latent World Model of Continuous Intent for End-to-End Autonomous Driving cites this paper.

Auto-JEPA: A Latent World Model of Continuous Intent for End-to-End Autonomous Driving Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T15:03:43.090617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T15:03:43.090617Z digest=sha256:9d98a0f13135275bed423c5d098b0e8dd06fa7679e5bafdf4fb04a0e130e3169