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Paper Citation Record · LEDGER

Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.02357.

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

pith.paper-citation-record.v1
2405.02357 v2

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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:18:01.369778Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:17:45.155659Z

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 b8a983b4-94b3-4099-a781-271697a89e2f · inbound

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm cites this paper.

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T19:18:01.369778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:18:01.369778Z digest=sha256:67c7fc8191eca02cdd4b882c6fc464125b3e0fa27c35999c49f7f6c0860d10be

Observation 579a6357-7262-4508-b0ed-5939fd1e1c19 · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T22:41:14.674740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:41:14.674740Z digest=sha256:ede58f6bcc58eeacb93c6ba007357e261f638833b15a32ae57e348f033c68a52

Observation 6ac89bca-076a-4077-8c58-1d21bda5a978 · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-10T21:37:04.635859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:37:04.635859Z digest=sha256:9cfa6b175cd380b62d39f350f98a71505a306c6a541c4bebb7584cbb409261c8

Observation 5aa5441e-84ee-4907-bf56-60f24e77fbc0 · inbound

LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning cites this paper.

LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:17:45.239672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T13:17:41.047960Z digest=sha256:db199f11029908ea72ec485ab0c95b97e01de866d5dd8b54368b9e10009b324b