Paper Citation Record · LEDGER

STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.00495.

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

pith.paper-citation-record.v1
2307.00495 v2

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 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:59:58.725153Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:17:30.943406Z

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 9523d93f-cf9e-4f08-b6d6-69b016243048 · inbound

STDCformer: A Transformer-Based Model with a Spatial-Temporal Causal De-Confounding Strategy for Crowd Flow Prediction cites this paper.

STDCformer: A Transformer-Based Model with a Spatial-Temporal Causal De-Confounding Strategy for Crowd Flow Prediction STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T22:59:58.725153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d31d25ec-6639-4ad5-becb-9a1b5cc76ff0 · inbound

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting cites this paper.

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:38.110006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819120ae-877b-472a-88ee-eceedf331866 · 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 STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:17:30.944979Z

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.

Observation b771021b-4af3-4b62-a5ea-7dff5c498a66 · inbound

Efficient Traffic Prediction at Scale: A Systematic Study of STGCN Architectural Depth cites this paper.

Efficient Traffic Prediction at Scale: A Systematic Study of STGCN Architectural Depth STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:07:27.722776Z

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.