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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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:06.760604Z

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 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=sha256:1ee978e3fbb64a5e518cbadbde707767215f6d7b0c4cc001c21ef85581e17430

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=sha256:53abde7747cb35bcfcb0d2d0324833598253ba1158b4adb9c6831dab8e76403b

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=sha256:96a4516be8de69fdec3f1ab1e4925b85d1c86183f647c10be4ac008a0c43d467

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:b60eae1c1f451c5912ad975530983b7136d0ac850d862846e7d2f6ffa627e2c4

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:c273535d8bfb4af8b8a58dd8d475a5d1426a7377dcef408e2ae1111223408470

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=sha256:2cd01eeacc161872855310cc4d83c7d3064f5a495119441ae77c5d02d8d2a75e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T04:18:35.668119Z digest=sha256:19801188e7ca5def77184b143a87761f2da73584b2ee5b25072b2ec98aa5f910

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T06:05:17.158363Z digest=sha256:0afe36564a5017017fa7f4d0933c370c3c1746ae94117989980b1b6a1a251751

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=sha256:17b6910f39af6797be71579cb551da2fddc1a9095849ef46439280615618857a

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:e1e0077c20b81befbb444550b47a9af99c43ceffaf9da2bc6b4eddfe86bd8c0a