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Paper Citation Record · LEDGER

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.04437.

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

pith.paper-citation-record.v1
2501.04437 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:26:17.151364Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:56:14.216648Z

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 17be8bc3-d899-49b4-a7da-617f32c269f3 · inbound

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction cites this paper.

Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T08:26:17.151364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:26:17.151364Z digest=sha256:0633de733577ae9f3a37895b5cb317452d0557182bc312086e3df972f4d171f4

Observation 729723c7-0e9a-4626-82fa-bb7e45fa55ee · inbound

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:56:14.218133Z

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.

source=pdf_text observed=2026-06-28T17:35:21.127740Z digest=sha256:5f88de438a3b2e61e99833889dc074739d5d7cd22e0ffc066aaa6f319903ce2f