Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.05985.
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 2026-08-07T14:15:33.730367Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T01:17:30.956096Z
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 b6e4f37b-57f7-43c4-ae28-67a6731fa581 · inbound
MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model cites this paper.
MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:15:33.730367Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bfb8965-3c45-4508-a280-45a5b26d547b · inbound
From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction cites this paper.
From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T01:17:30.957945Z
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.
Observation d129bd6e-38d4-4aa6-a1ed-a53d16f4f623 · inbound
SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.
SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
Reference 119
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:37:01.583266Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.