Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1612.01022.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:51:32.736882Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T05:35:23.668899Z
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 dfd36a20-0db5-4b58-9c73-7611bb6f9ade · inbound
FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction cites this paper.
FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T05:35:23.676133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2ce7232d-9b14-47ac-9962-68dec41b048e · inbound
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting cites this paper.
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:51:32.736882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b50ce94-512d-4c1c-bcd0-b19c777e7e19 · inbound
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics cites this paper.
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:09:16.513168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65a4bd04-c318-40e9-a2b2-d808da572d3f · inbound
Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting cites this paper.
Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:06:54.928586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e543a12d-c174-4d44-bbb4-439163d01091 · inbound
EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting cites this paper.
EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:50:42.248108Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.