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Paper Citation Record · LEDGER

DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.04390.

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

pith.paper-citation-record.v1
2405.04390 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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:14:08.038627Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.655380Z

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 bfecddb4-ded9-46ec-bf29-0638c6f7d258 · inbound

Enhancing End-to-End Autonomous Driving with Latent World Model cites this paper.

Enhancing End-to-End Autonomous Driving with Latent World Model DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-17T07:38:51.957168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T07:38:51.885383Z digest=sha256:d286615c94e97f0e6a142bde27da09f5243410542831cf369de892b7095ed384

Observation 9fc220fa-b6d5-403a-9426-3466f21b2c13 · inbound

Diffusion Transformer World-Action Model for AV Scene Prediction cites this paper.

Diffusion Transformer World-Action Model for AV Scene Prediction DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:58:21.731061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:24:01.228925Z digest=sha256:61b063a2dcfcf31796eece9592222de9f9d0270bd23eb14ac2e3d021d446c2cb

Observation ed778365-cc41-4eab-a8ff-6c556a4531ae · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:08:22.656990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:08:41.071757Z digest=sha256:51e648f2d4111360bc0455a17f0ffa08237164da30f0f5147343ff0f06cf208a

Observation c0782885-e71d-4fdb-837b-a6395ba8f453 · inbound

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models cites this paper.

VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-15T10:49:28.959330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T10:49:28.959330Z digest=sha256:5f245cf54cd4b6f2c0e975949dc20105bbe3c09b5cbe6d73eb201248a4e4b758

Observation c7f9d227-6568-4ae2-aae0-435a82961ddd · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

Reference 128

Resolution
unresolved
no resolver link, observed 2026-08-07T00:14:08.038627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:14:08.038627Z digest=sha256:43658537b64ad266d22be339e75e66ec461f81559d9d9c406f7083fa3c53805d