Paper Citation Record · LEDGER

LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2506.01546.

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

pith.paper-citation-record.v1
2506.01546 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:12:51.088632Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:26:27.481686Z

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 3cd088f7-07b6-4aba-8155-ff5b73c71209 · inbound

A Comprehensive Survey on World Models for Embodied AI cites this paper.

A Comprehensive Survey on World Models for Embodied AI LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model

Reference 188

Resolution: unresolved; no resolver link, observed 2026-08-04T09:12:51.088632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 420e0359-8b98-448d-93e6-fd24cf7d6f3f · 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 LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-03T17:02:40.451968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf26ed9c-ebd7-4eb2-9fd1-e1e75653ebd1 · inbound

ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation cites this paper.

ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:26:27.483110Z

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.

Observation f92c35dd-22c3-4efa-b365-00ae323d9a11 · inbound

OpenLongTail: Generative Scaling of Long-Tail Driving Data cites this paper.

OpenLongTail: Generative Scaling of Long-Tail Driving Data LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-13T01:26:27.220907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.