Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GTFS2STN: Analyzing GTFS Transit Data by Generating Spatiotemporal Transit Network
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.02760.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:45:05.393221Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T20:45:06.416019Z
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 7d84a943-134e-4cba-b213-15bb0f9bc987 · inbound
TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models cites this paper.
TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models GTFS2STN: Analyzing GTFS Transit Data by Generating Spatiotemporal Transit Network
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T20:45:06.421262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.