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Paper Citation Record · LEDGER

TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.06719.

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

pith.paper-citation-record.v1
2309.06719 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:54:41.169573Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:26:37.048316Z

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 7c21c1db-0842-4640-8277-fa7ac7477813 · inbound

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis cites this paper.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-12T04:54:41.169573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.169573Z digest=sha256:4f486be3d962e88f26ecf30a5b8d010f2cfcf611f6ad58a007335b9841748d58

Observation 00f352dc-0683-4406-9377-8802b3007c77 · inbound

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination cites this paper.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:26:37.052591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T16:26:36.955372Z digest=sha256:1c2d9fe26dcdbad9c3b9cfa425cab417531b06f7acaf3d68ea642e95fcee2d6c