Paper Citation Record · LEDGER

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2303.14483.

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

pith.paper-citation-record.v1
2303.14483 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:50:10.987387Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:06:26.661540Z

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 f9ee4991-dff2-45fc-a9e2-a0c864ffdbe5 · inbound

TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories cites this paper.

TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:49.820674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efac1dbd-fe7f-42d1-b9cd-29f78517b52b · 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 Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T16:43:29.369808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56aea86-7fa8-4db6-b013-6519d514cff2 · inbound

A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer cites this paper.

A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T18:50:10.987387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3b06625-0e82-4b54-ac7d-81c9973b1987 · inbound

Network-Wide Traffic Volume Estimation from Speed Profiles using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention cites this paper.

Network-Wide Traffic Volume Estimation from Speed Profiles using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T16:29:48.283500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00593d91-f4f4-4c02-91e3-dec1bbfec284 · inbound

Efficient Prompt Learning for Traffic Forecasting cites this paper.

Efficient Prompt Learning for Traffic Forecasting Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.667869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 27642e08-8c11-4bd8-aa52-2a4acdfaf36f · inbound

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities cites this paper.

Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-31T23:12:17.546477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.