Paper Citation Record · LEDGER

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction

As of 20 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2508.09227.

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

pith.paper-citation-record.v1
2508.09227 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:38:45.537191Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bcaebba3-125d-499f-b750-63cf2331006b · outbound

This paper cites Real-time bus arrival delays analysis using seemingly unrelated regression model,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Real-time bus arrival delays analysis using seemingly unrelated regression model,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.946652Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28288c91-161c-4ae5-8f2b-57075cf1e5fd · outbound

This paper cites Optimizing city transit: Iot and gradient boosting algorithms for ac- curate bus arrival predictions,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Optimizing city transit: Iot and gradient boosting algorithms for ac- curate bus arrival predictions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.936025Z

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Observation 6c3d7c6f-fcd1-41a2-a230-d0ab16c3e5cd · outbound

This paper cites A sequence and network embedding method for bus arrival time prediction using gps trajectory data only,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction A sequence and network embedding method for bus arrival time prediction using gps trajectory data only,

Reference 3

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Source-reported events for the cited work

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Observation d83fbe7d-e1f3-4f2e-a703-909737f92dbf · outbound

This paper cites Vehicle trajectory prediction based on lstm recurrent neural networks,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Vehicle trajectory prediction based on lstm recurrent neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.918738Z

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Observation db652430-9f0c-419a-8c17-81fe0cc7d19a · outbound

This paper cites Graph and recurrent neural network- based vehicle trajectory prediction for highway driving,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Graph and recurrent neural network- based vehicle trajectory prediction for highway driving,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.908328Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3304ca98-f782-43cd-929c-06d94b468861 · outbound

This paper cites Spatio-temporal graph neural networks for predictive learning in urban computing: A survey,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Spatio-temporal graph neural networks for predictive learning in urban computing: A survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.898284Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1f00c08-68fe-426c-818a-123f8e404a23 · outbound

This paper cites Crowd flow forecasting with multi-graph neural networks,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Crowd flow forecasting with multi-graph neural networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.888383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 443509b0-2741-4485-99a5-1e3a630634fb · outbound

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

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Spatial-temporal fusion graph neural networks for traffic flow forecasting,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.878642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 980b1ad4-b3ca-4a06-b297-a4ef6c39393b · outbound

This paper cites A multi- head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction A multi- head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.867764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f5052e9-30bc-4a74-b7b4-25ddd3946174 · outbound

This paper cites Long-term traffic flow forecasting using a hybrid cnn-bilstm model,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Long-term traffic flow forecasting using a hybrid cnn-bilstm model,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.858221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a970681-7762-4d4f-b1c4-9c52a4827309 · outbound

This paper cites Bus travel time prediction with real-time traffic information,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Bus travel time prediction with real-time traffic information,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.848862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd2aaeca-efda-4c3b-b4b7-0082e93ee93a · outbound

This paper cites Dynamic bus arrival time prediction with artificial neural networks,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Dynamic bus arrival time prediction with artificial neural networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.837140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf16f45f-a564-44bb-ba44-c726faf991ba · outbound

This paper cites Traffic-ggnn: predicting traffic flow via attentional spatial-temporal gated graph neural networks,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Traffic-ggnn: predicting traffic flow via attentional spatial-temporal gated graph neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.825538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a98dcbbd-3470-49e4-96d8-548a6d26c2e2 · outbound

This paper cites Lstm network: a deep learning approach for short-term traffic forecast,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Lstm network: a deep learning approach for short-term traffic forecast,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.813619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 277ae096-39bf-489e-b3a4-7f818ce9436a · outbound

This paper cites Stcnn: A spatio-temporal convo- lutional neural network for long-term traffic prediction,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Stcnn: A spatio-temporal convo- lutional neural network for long-term traffic prediction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.802542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1468fd7b-bf41-4d64-a549-02121ab6ddb8 · outbound

This paper cites Revisiting spatial- temporal similarity: A deep learning framework for traffic prediction,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Revisiting spatial- temporal similarity: A deep learning framework for traffic prediction,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.790728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cbb9df8e-6545-4e92-8f6e-e189555adaea · outbound

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

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 17

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Source-reported events for the cited work

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Observation 38dd4459-0354-43c9-886c-3579573caa4b · outbound

This paper cites Time-series extreme event forecasting with neural networks at uber,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Time-series extreme event forecasting with neural networks at uber,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.780367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 359dfbec-bb79-41e6-9856-3fffc0b5051e · outbound

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

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Short-term traffic forecasting: Where we are and where we’re going,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.770766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de6ebae1-4dac-4272-b6e1-62559422f6ec · outbound

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

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T17:38:45.482394Z

Source-reported events for the cited work

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Observation cd3b1aa8-63a1-4ae2-9081-41f037b1e74c · outbound

This paper cites Deep spatio-temporal residual networks for citywide crowd flows prediction,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Deep spatio-temporal residual networks for citywide crowd flows prediction,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.761906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c0a59d8-7528-49cd-bc5a-47dfe4d9201c · outbound

This paper cites St-hcss: Deep spatio-temporal hypergraph convolutional neural network for soft sensing,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction St-hcss: Deep spatio-temporal hypergraph convolutional neural network for soft sensing,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.751482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 233311f0-48a2-40be-91f1-111d73b23e2b · outbound

This paper cites Gbtte: Graph attention network based bus travel time estimation,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Gbtte: Graph attention network based bus travel time estimation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.741037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3a06a77-2b61-4164-9845-82c251069f9a · outbound

This paper cites Predicting traffic propagation flow in urban road network with multi-graph convolutional network,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Predicting traffic propagation flow in urban road network with multi-graph convolutional network,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.730326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc7e5d4e-83af-4a60-b366-3fe9df8ec7c7 · outbound

This paper cites Kans: Knowledge discovery graph attention network for soft sensing in multivariate industrial processes,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Kans: Knowledge discovery graph attention network for soft sensing in multivariate industrial processes,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.719432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 381f183a-4446-41f5-ab14-54e71f0cc62b · outbound

This paper cites Mtl-lstm: Multi-task learning-based lstm for urban traffic flow fore- casting,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Mtl-lstm: Multi-task learning-based lstm for urban traffic flow fore- casting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.708647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a689c990-89f9-4176-bc5f-64bcbcecd674 · outbound

This paper cites Improv- ing multi-agent trajectory prediction using traffic states on interactive driving scenarios,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Improv- ing multi-agent trajectory prediction using traffic states on interactive driving scenarios,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.697652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 371788c6-10ed-4ab0-bb9e-7e3e8b324c5d · outbound

This paper cites Transportation mode identification with gps trajectory data and gis information,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Transportation mode identification with gps trajectory data and gis information,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.686568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a8e711e-1ad9-4592-9bc6-862645fc4772 · outbound

This paper cites Ais-based intelligent vessel trajectory prediction using bi-lstm,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Ais-based intelligent vessel trajectory prediction using bi-lstm,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.676084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d59f28f7-a907-4ce4-9772-931111094034 · outbound

This paper cites A semisupervised end-to-end framework for transportation mode detection by using gps-enabled sensing devices,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction A semisupervised end-to-end framework for transportation mode detection by using gps-enabled sensing devices,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.665716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5094739-dfb2-46f0-a1c5-939f3785410a · outbound

This paper cites Adapt: Efficient multi-agent trajectory prediction with adaptation,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Adapt: Efficient multi-agent trajectory prediction with adaptation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.656153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d432b77b-5399-4c78-a9dc-85e4bde58d21 · outbound

This paper cites Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T17:38:45.519645Z

Source-reported events for the cited work

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Observation 549b6018-f481-4798-979c-08191d4d6beb · outbound

This paper cites Spatial-temporal residential short- term load forecasting via graph neural networks,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Spatial-temporal residential short- term load forecasting via graph neural networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.637824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 59b0a6ef-9299-4d78-9fff-efd4df16cfdf · outbound

This paper cites Deep learning methods for vessel trajectory prediction based on recurrent neural networks,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Deep learning methods for vessel trajectory prediction based on recurrent neural networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.626682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c2bb7492-1a76-45f2-9490-6d1be8d5ce3c · outbound

This paper cites Dynamic travel time prediction models for buses using only gps data,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Dynamic travel time prediction models for buses using only gps data,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.615372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c948edbd-1cc9-4bf6-85f2-87a29199549e · outbound

This paper cites Predicting irregu- larities in arrival times for transit buses with recurrent neural networks using gps coordinates and weather data,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Predicting irregu- larities in arrival times for transit buses with recurrent neural networks using gps coordinates and weather data,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.603273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56890d93-4e1a-462e-a153-da9bb5f52ed4 · outbound

This paper cites Convolutional long-short term memory network with multi-head attention mechanism for traffic flow prediction,.

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction Convolutional long-short term memory network with multi-head attention mechanism for traffic flow prediction,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:38:45.591593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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