Paper Citation Record · LEDGER

Graph Neural Network for Traffic Forecasting: A Survey

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2101.11174.

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

pith.paper-citation-record.v1
2101.11174 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:22:53.420445Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:43:13.559826Z

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 6f5e626f-838c-4686-9886-e806081df75b · inbound

Mitigating the Structural Bias in Graph Adversarial Defenses cites this paper.

Mitigating the Structural Bias in Graph Adversarial Defenses Graph Neural Network for Traffic Forecasting: A Survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T05:21:18.350510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44c8e6f9-3c24-4b24-9766-2b4be3823b6d · inbound

Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks cites this paper.

Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks Graph Neural Network for Traffic Forecasting: A Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T05:22:53.420445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57f409f-48bf-481f-ab4f-21b11aa4ea39 · inbound

Attention-based graph neural networks: a survey cites this paper.

Attention-based graph neural networks: a survey Graph Neural Network for Traffic Forecasting: A Survey

Reference 168

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:26:24.968797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b963897-e9f2-400a-95be-88f6e4dd363f · inbound

A Global-Local Graph Attention Network for Traffic Forecasting cites this paper.

A Global-Local Graph Attention Network for Traffic Forecasting Graph Neural Network for Traffic Forecasting: A Survey

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:43:13.561940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.