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Paper Citation Record · LEDGER

Automated Vehicles Should be Connected with Natural Language

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2507.01059.

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

pith.paper-citation-record.v1
2507.01059 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:39:00.756335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:29:50.254580Z

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 e05be21b-4990-4194-886e-911b00d90a8d · inbound

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition cites this paper.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Automated Vehicles Should be Connected with Natural Language

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T12:39:00.756335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:39:00.756335Z digest=sha256:b3e4b0bbf3539a257002f020c44583fe399cdb2c03240c758d636b4c4477f157

Observation 3fa72042-2c98-4c4b-bb0e-667f7dfc6bbd · inbound

Unleashing Hierarchical Reasoning: An LLM-Driven Framework for Training-Free Referring Video Object Segmentation cites this paper.

Unleashing Hierarchical Reasoning: An LLM-Driven Framework for Training-Free Referring Video Object Segmentation Automated Vehicles Should be Connected with Natural Language

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T05:09:31.627078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:09:31.627078Z digest=sha256:44c7630f904799c7bcc0b1b192071ac1e4d9228423e1424ca360554b32caa319

Observation 0d888f52-a084-46d0-98b2-164daa2e05d3 · inbound

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs cites this paper.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Automated Vehicles Should be Connected with Natural Language

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:29:50.256340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T07:59:56.928938Z digest=sha256:845ae4244baee66b02fddccfe00f18235bcc5cf8df619b1315851859c1bb29eb