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Paper Citation Record · LEDGER

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving

As of 21 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 3 inbound Pith citation observations for arXiv:2604.02714.

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

pith.paper-citation-record.v1
2604.02714 v2

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T13:47:30.684105Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:49:48.429071Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T05:55:24.808048Z

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bcb0f9f5-549a-4d3a-90e9-efa01882fd3c · outbound

This paper cites S., Drew, J.

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving S., Drew, J

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-13T13:47:30.684105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T13:47:30.684105Z digest=sha256:b4082ce8b52ef9a76bf7c2664d4c41f01fbcb0e7bad8f5524e10c443ef9cd90d

Observation 5c1df61f-3249-4cda-89c6-ac3dd6a21977 · outbound

This paper cites 4 b degree The Galactic Latitude of the celestial object.

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving 4 b degree The Galactic Latitude of the celestial object

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T13:47:30.684105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T13:47:30.684105Z digest=sha256:4e403bbf03dd606b5aa337a8aac492b9403ff409795d442f5754aaee04778544

Pith citing papers

Observation 2211ba28-9950-4662-a9ff-a8163f5fbe15 · inbound

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving cites this paper.

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-21T04:49:35.765630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T04:44:48.349384Z digest=sha256:95f7610172ac891f1ceb5a9bbb4914c7454686f678faadfaff7f4fbb116e8061

Observation 3ad295a5-72a0-42d3-8fca-1544076a3da7 · inbound

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving cites this paper.

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-25T05:55:24.810894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T05:52:10.143179Z digest=sha256:574988e8d45b804c5fb2da346c4d920f675427dafbd9b3446418b0f22bed9eee

Observation bf0f9fd0-9617-4dac-9523-82adb793480f · inbound

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving cites this paper.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T08:49:48.429071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:49:48.429071Z digest=sha256:48e7b4b98b99b56f359bea91dbda551484455c8bbed3f545fa83fad55e61ee79