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Paper Citation Record · LEDGER

Graph Neural Networks in Intelligent Transportation Systems: Advances, Applications and Trends

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.00713.

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

pith.paper-citation-record.v1
2401.00713 v3

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 2026-08-06T23:34:51.373206Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T09:05:20.442797Z

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 57f3e2f4-fa8f-4077-8663-4eafbd582440 · inbound

Towards a deeper GCN: Alleviate over-smoothing with iterative training and fine-tuning cites this paper.

Towards a deeper GCN: Alleviate over-smoothing with iterative training and fine-tuning Graph Neural Networks in Intelligent Transportation Systems: Advances, Applications and Trends

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:51.373206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:51.373206Z digest=sha256:99233c1a02e0a544b2a4ed0aac40f467c05aab740315ad85df36e5b69329c336

Observation f79d4f5e-f6b8-414b-8599-34479e7367af · inbound

From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving cites this paper.

From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving Graph Neural Networks in Intelligent Transportation Systems: Advances, Applications and Trends

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:05:20.444429Z

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=2026-05-15T09:02:21.114658Z digest=sha256:f9bbe96a898791e8b0c75c163aa028c31e46eb43104f72cfb87631396a27ac40