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Paper Citation Record · LEDGER

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.06597.

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

pith.paper-citation-record.v1
2309.06597 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T00:16:35.823270Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:20:50.408505Z

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 4ad4d2d5-ca10-4379-8963-2b53d22d1264 · inbound

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models cites this paper.

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:22:35.481154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T19:22:35.305220Z digest=sha256:2fa5329a5ab6a3641da0ed296cd8084237b61e38322ce3029a4033b2192a22f8

Observation 7ed996e3-f288-4a28-bbae-1d7e0eae97bc · inbound

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving cites this paper.

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:20:50.411477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T00:16:35.823270Z digest=sha256:b774d950da899d3f8a3ef12a2be8139d99f432edc1ea9e509b4276e30082713c