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Paper Citation Record · LEDGER

Message Passing Neural Networks for Traffic Forecasting

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.05740.

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

pith.paper-citation-record.v1
2305.05740 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:43:29.639902Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:54:40.078397Z

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 896a322b-57b0-456e-b8f0-e0852e5424a2 · inbound

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks cites this paper.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Message Passing Neural Networks for Traffic Forecasting

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-10T16:43:29.639902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:43:29.639902Z digest=sha256:63b98fa8019ae20f0ab49c33b2d464916643a9bd03d872a8724a50fa020fb1c3

Observation 77ff2ebb-0d3f-4c82-9246-e5b1a8aa1c3e · inbound

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs cites this paper.

Network Digital Twin for Congestion-Aware Predictive Traffic Routing using Graph MPNNs Message Passing Neural Networks for Traffic Forecasting

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:54:40.079781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T12:50:37.592465Z digest=sha256:58e152dc07b430e6f72a3e57b97342d6d01ef0ff8f08dd60e9bf2d61932ec220