Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generative AI in Transportation Planning: A Survey
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.07158.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T04:50:32.548019Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T23:06:19.566266Z
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 d05e231e-8423-4167-9bc7-c929650e7d75 · inbound
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios cites this paper.
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios Generative AI in Transportation Planning: A Survey
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:21:35.744331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f2909fc5-ef2d-4340-9c12-cb42305ca29b · inbound
Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.
Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Generative AI in Transportation Planning: A Survey
Reference 271
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:50:32.548019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28da0ea0-c3d4-4176-b5c4-c58fea3f7f2c · inbound
A Two-Level Plackett-Luce Model for preference modeling in smart mobility platforms cites this paper.
A Two-Level Plackett-Luce Model for preference modeling in smart mobility platforms Generative AI in Transportation Planning: A Survey
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:01:11.902816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 957f9aae-2c22-49d5-8a94-e940f9b59289 · inbound
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries cites this paper.
Broadening Access to Transportation Safety Data with Generative AI: A Schema-Grounded Framework for Spatial Natural Language Queries Generative AI in Transportation Planning: A Survey
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:04:45.647071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0398efc6-da0d-43a3-89ec-28b656fb5096 · inbound
MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generation cites this paper.
MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generation Generative AI in Transportation Planning: A Survey
Reference 89
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T23:06:19.568854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.