Paper Citation Record · LEDGER

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting

As of 20 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2501.00756.

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

pith.paper-citation-record.v1
2501.00756 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:47:03.333735Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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verified fuzzy28
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24e29ec8-df16-4ba5-ad94-7e1b09694310 · outbound

This paper cites Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.765393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2c707ee-1fba-440b-bb93-6beb6c7dc8d2 · outbound

This paper cites A comprehensive survey on graph neural networks,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting A comprehensive survey on graph neural networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.754477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 05ae258e-0371-4018-b524-cabf59d1cc00 · outbound

This paper cites Stfgcn: Spatial–temporal fusion graph convolu- tional network for traffic prediction,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Stfgcn: Spatial–temporal fusion graph convolu- tional network for traffic prediction,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.743680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0cf9b6c0-99b3-484c-ac36-9ed3a8869dfb · outbound

This paper cites Short-term traffic forecasting: Where we are and where we’re going,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Short-term traffic forecasting: Where we are and where we’re going,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.732696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1e6d3c2-d505-4661-aef6-474464ae38f1 · outbound

This paper cites Spatiotemporal gaussian process kalman filter for mo- bile traffic prediction,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Spatiotemporal gaussian process kalman filter for mo- bile traffic prediction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.721813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b326f640-0d88-4b62-a243-d8840267f773 · outbound

This paper cites Short-term traffic and travel time prediction models,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Short-term traffic and travel time prediction models,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.709597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b298d2d2-7165-49bb-8c70-2d2eb00e72fb · outbound

This paper cites Supervised weighting-online learning algorithm for short-term traffic flow prediction,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Supervised weighting-online learning algorithm for short-term traffic flow prediction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.696748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 47c8162c-c1cb-48b8-b9d6-fa4f1cc3fcff · outbound

This paper cites Long short-term memory,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Long short-term memory,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.685540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c5d0eab-b1c1-4089-b772-6795593007f7 · outbound

This paper cites Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.674553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 599b4d52-6879-4f11-8505-a92c52f06a4d · outbound

This paper cites An attention-based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting An attention-based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.664230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c6064cee-e1bc-4e58-9eb7-63d02b9cc2fd · outbound

This paper cites Pre-training enhanced spatial-temporal graph neural network for mul- tivariate time series forecasting,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Pre-training enhanced spatial-temporal graph neural network for mul- tivariate time series forecasting,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.652881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ae1505e-d075-4d25-9cc7-bcfca903dfc1 · outbound

This paper cites A novel hybrid time-varying graph neural network for traffic flow forecasting.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting A novel hybrid time-varying graph neural network for traffic flow forecasting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:47:03.233462Z

Source-reported events for the cited work

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Observation bb1b8c2f-82fa-48ce-8e02-0c5328e4a77b · outbound

This paper cites Attention is all you need,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Attention is all you need,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:47:03.242252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e619931-164e-4213-aea1-2da2621736a4 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:47:03.249538Z

Source-reported events for the cited work

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Observation b4b27a9d-81f0-4532-906e-a539446d3bce · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:47:03.253792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10df7f6f-7286-418f-a9ea-f28ed41ffc53 · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:47:03.257838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b7f1361-492a-4dac-b23b-c04f641ca776 · outbound

This paper cites Traffic flow prediction based on multi-spatial-temporal graph- convolutional network,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Traffic flow prediction based on multi-spatial-temporal graph- convolutional network,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.634222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2b8ba2c5-0ce4-4ba2-890d-ca347997c959 · outbound

This paper cites Comparative analysis of time series and machine learn- ing models for air quality prediction utilizing iot data,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Comparative analysis of time series and machine learn- ing models for air quality prediction utilizing iot data,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.624159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ff24c93f-395a-4236-bcd6-5d253eef3d85 · outbound

This paper cites The impact of cutting-edge technologies on smart city supply chain: A systematic literature review of the evidence and implications,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting The impact of cutting-edge technologies on smart city supply chain: A systematic literature review of the evidence and implications,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.613274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d24d4ebb-b64b-45a6-99f9-e93cdc09e4f7 · outbound

This paper cites Stghtn: Spatial-temporal gated hybrid transformer network for traffic flow forecasting,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Stghtn: Spatial-temporal gated hybrid transformer network for traffic flow forecasting,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.602144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb6531bd-f14d-494d-bcfa-8640d50d3467 · outbound

This paper cites Spatial- temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data fore- casting,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Spatial- temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data fore- casting,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.590769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f92a5bc1-5ee9-4f86-993d-d226fc9c6ca5 · outbound

This paper cites Spatial-temporal fusion graph neural networks for traffic flow forecasting,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Spatial-temporal fusion graph neural networks for traffic flow forecasting,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.580759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5506f5b-e51e-4321-a161-208453cb7058 · outbound

This paper cites Learning con- volutional neural networks for graphs,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Learning con- volutional neural networks for graphs,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.570281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5b32882-4ca4-4cc9-b619-eda5f3e56144 · outbound

This paper cites Geometric deep learning on graphs and manifolds using mixture model cnns,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Geometric deep learning on graphs and manifolds using mixture model cnns,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.557002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a98ec0d-b314-4783-837d-46a76243218d · outbound

This paper cites Spectral Networks and Locally Connected Networks on Graphs.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Spectral Networks and Locally Connected Networks on Graphs

Reference 28

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Source-reported events for the cited work

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Observation 5af0b2f7-0428-4c48-b642-a8571672d105 · outbound

This paper cites Con- volutional neural networks on graphs with fast localized spectral filtering,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Con- volutional neural networks on graphs with fast localized spectral filtering,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.546029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44294b56-3333-4091-bcb1-59bfe9708ce6 · outbound

This paper cites Attention based spatial-temporal graph convolutional networks for traffic flow forecasting,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Attention based spatial-temporal graph convolutional networks for traffic flow forecasting,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.534175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 896cd37f-2aa3-4f64-926f-a4b4e84213e0 · outbound

This paper cites Learning dynamic and hier- archical traffic spatiotemporal features with transformer,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Learning dynamic and hier- archical traffic spatiotemporal features with transformer,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.524032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1abbae9-3875-4658-83c2-e47eab7fdb87 · outbound

This paper cites Learning dynamics and heterogeneity of spatial-temporal graph 13 data for traffic forecasting,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Learning dynamics and heterogeneity of spatial-temporal graph 13 data for traffic forecasting,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.514077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 63f8cf1a-2248-4c4c-8862-173beb71b956 · outbound

This paper cites Spatial- temporal graph ode networks for traffic flow forecasting,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Spatial- temporal graph ode networks for traffic flow forecasting,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.503223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d22f92d-fd39-48f0-b151-5bf7fd818ed7 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Semi-Supervised Classification with Graph Convolutional Networks

Reference 34

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Source-reported events for the cited work

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Observation 774bbd7b-878f-4622-aaff-dab222440b1e · outbound

This paper cites Bidirectional spatial-temporal adaptive transformer for urban traffic flow forecasting,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Bidirectional spatial-temporal adaptive transformer for urban traffic flow forecasting,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.491682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2cbc79ad-de16-4696-b8f3-76d161ad1505 · outbound

This paper cites STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T22:47:03.319235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2488ef7b-d7c9-460f-bbec-94fa0299ecb6 · outbound

This paper cites Vector autoregressive models for multivariate time series,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Vector autoregressive models for multivariate time series,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.480141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0af41f3d-0333-4302-8443-55058103595f · outbound

This paper cites When spatio-temporal meet wavelets: Dis- entangled traffic forecasting via efficient spectral graph attention networks,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting When spatio-temporal meet wavelets: Dis- entangled traffic forecasting via efficient spectral graph attention networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.468084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 859085b3-9e2c-4f5f-ad3e-1a4024e0cdf7 · outbound

This paper cites Bidirectional spatial-temporal adaptive transformer for urban traffic flow forecasting,.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Bidirectional spatial-temporal adaptive transformer for urban traffic flow forecasting,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:47:03.456368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68b538b1-9c04-459f-bba4-ad6e8add3621 · outbound

This paper cites an unresolved cited work.

FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting Unresolved cited work

Reference 2008

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:47:03.444322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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