Paper Citation Record · LEDGER

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2508.00037.

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

pith.paper-citation-record.v1
2508.00037 v1

Coverage vector

measured 44 of 44 reference resolution

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measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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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

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3b4e755-c475-4146-b5da-11bc4bda9a17 · outbound

This paper cites Predicting network dynamics without requiring the knowledge of the interaction graph,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Predicting network dynamics without requiring the knowledge of the interaction graph,

Reference 1

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Observation 03db1fd7-0772-4151-9f53-1a1dd7033ccd · outbound

This paper cites DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion

Reference 2

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Observation 819161e4-2709-44d1-95d8-84df24fdd4fa · outbound

This paper cites Grand: Graph neural diffusion,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Grand: Graph neural diffusion,

Reference 3

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Observation 1ca5e279-c9f7-41bf-81a6-166f0fb5c682 · outbound

This paper cites Grand++: Graph neural diffusion with a source term,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Grand++: Graph neural diffusion with a source term,

Reference 4

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Observation 3166b757-8a50-4c5d-80fb-5ab444dd7a6a · outbound

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

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 5

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Observation d155a2ca-45a6-4f95-a389-109816492113 · outbound

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

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 6

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Observation 7818220d-cbe4-411a-b692-e19939b141ed · outbound

This paper cites Adaptive graph convolutional recurrent network for traffic forecasting,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Adaptive graph convolutional recurrent network for traffic forecasting,

Reference 7

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Observation ca15999c-b832-48e7-9801-d8181366e255 · outbound

This paper cites Scalable Spatiotemporal Graph Neural Networks.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Scalable Spatiotemporal Graph Neural Networks

Reference 8

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Observation f3342265-b8ca-49b1-80f6-a3ba3bf5dd18 · outbound

This paper cites Largest: A benchmark dataset for large- scale traffic forecasting,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Largest: A benchmark dataset for large- scale traffic forecasting,

Reference 9

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Observation c4bcabce-59a7-4af5-8841-26a63891f71a · outbound

This paper cites Do We Really Need Graph Neural Networks for Traffic Forecasting?.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Do We Really Need Graph Neural Networks for Traffic Forecasting?

Reference 10

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Observation e869e251-43b8-4f8a-a4ab-9444c5f94118 · outbound

This paper cites Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting,

Reference 11

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Observation 4f2f465a-9764-4c29-bbfa-de065f2cbf64 · outbound

This paper cites Channel-aware low-rank adaptation in time series forecasting,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Channel-aware low-rank adaptation in time series forecasting,

Reference 12

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Observation f8339255-d940-485d-8e6e-06f87c78de40 · outbound

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

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.292107Z

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Observation 322288b7-4629-418a-b1e1-b660c9d52654 · outbound

This paper cites Pdformer: Propagation delay-aware dynamic long-range transformer for traffic flow prediction,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Pdformer: Propagation delay-aware dynamic long-range transformer for traffic flow prediction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.283048Z

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Observation d1667341-363a-423a-af80-65318d001894 · outbound

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

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 15

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Observation 2b600741-9a40-4fdb-8d98-3c2678c7ed31 · outbound

This paper cites Diffusion convolutional recurrent neural network: Data-driven traffic forecasting,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Diffusion convolutional recurrent neural network: Data-driven traffic forecasting,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.274094Z

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Observation de8e3ca2-6b02-4cd7-b405-df13ab1a806c · outbound

This paper cites Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.265328Z

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Observation 283e6d64-b8e8-420d-b2ea-cd20a12c5179 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.256829Z

Source-reported events for the cited work

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Observation 360864a6-b834-4558-9abb-71852debcb21 · outbound

This paper cites Imputeformer: Low rankness-induced transformers for generalizable spatiotemporal impu- tation,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Imputeformer: Low rankness-induced transformers for generalizable spatiotemporal impu- tation,

Reference 19

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Observation bcb01398-223c-446e-8feb-bf5d3cd72c9e · outbound

This paper cites Diffusion equation and stochastic processes,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Diffusion equation and stochastic processes,

Reference 20

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Observation 723c8aa3-9ba9-483f-a579-ea0fecfc5196 · outbound

This paper cites Transformers in Time Series: A Survey.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Transformers in Time Series: A Survey

Reference 21

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Observation 4c9b22aa-3c0a-4952-b938-0fd70678fd22 · outbound

This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 22

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Observation b427edb8-5d4e-428c-a85c-2b777ee44ffa · outbound

This paper cites A lightweight and accurate spatial-temporal transformer for traffic forecasting,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion A lightweight and accurate spatial-temporal transformer for traffic forecasting,

Reference 23

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Observation aa01002c-8054-4729-9540-5fd313ed75e5 · outbound

This paper cites Cola: Cross-city mobility transformer for human trajectory simulation,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Cola: Cross-city mobility transformer for human trajectory simulation,

Reference 24

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Observation ece1f961-f16b-44ee-ad6d-a4ac26362ec1 · outbound

This paper cites UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction

Reference 25

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Observation e2a6833f-2c03-49fb-99f8-9cae96b676f6 · outbound

This paper cites Mtanet: Multitask-aware network with hierarchical multimodal fusion for rgb-t urban scene understand- ing,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Mtanet: Multitask-aware network with hierarchical multimodal fusion for rgb-t urban scene understand- ing,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.210383Z

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Observation 859f5010-8d8f-4f5a-a4ad-15ceee0c019d · outbound

This paper cites Embedded control gate fusion and attention residual learning for rgb–thermal urban scene parsing,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Embedded control gate fusion and attention residual learning for rgb–thermal urban scene parsing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.201084Z

Source-reported events for the cited work

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Observation f579f241-10a7-4db2-8726-09f52f835780 · outbound

This paper cites Mmsmcnet: Modal memory sharing and morphological complementary networks for rgb-t urban scene semantic segmentation,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Mmsmcnet: Modal memory sharing and morphological complementary networks for rgb-t urban scene semantic segmentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.191362Z

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Observation 9001bf9d-7c3b-49a3-a3a4-b6c381c7c078 · outbound

This paper cites Mdnet: Mamba-effective diffusion- distillation network for rgb-thermal urban dense prediction,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Mdnet: Mamba-effective diffusion- distillation network for rgb-thermal urban dense prediction,

Reference 29

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Observation c10c3bd2-df10-44da-8c65-2816d1a7ab84 · outbound

This paper cites A novel scene coupling semantic mask network for remote sensing image segmentation,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion A novel scene coupling semantic mask network for remote sensing image segmentation,

Reference 30

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Observation 2e5ba181-4374-4d6e-8576-c9c8dcdc9541 · outbound

This paper cites Stnet: Spatial and temporal feature fusion network for change detection in remote sensing images,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Stnet: Spatial and temporal feature fusion network for change detection in remote sensing images,

Reference 31

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Observation 5335fbd2-f9b3-4b65-b8f0-0f35e0c0e241 · outbound

This paper cites Citytft: A temporal fusion transformer-based surrogate model for urban building energy modeling,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Citytft: A temporal fusion transformer-based surrogate model for urban building energy modeling,

Reference 32

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Observation 2fb07673-113c-4443-b1a5-f58c3efbf40e · outbound

This paper cites The low-rank hypothesis of complex systems,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion The low-rank hypothesis of complex systems,

Reference 33

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Observation 8b7989e0-bd89-42ee-913f-d8fd92db07e6 · outbound

This paper cites Predicting multiple observations in complex systems through low-dimensional embeddings,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Predicting multiple observations in complex systems through low-dimensional embeddings,

Reference 34

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Observation 0f744add-26dc-4fd7-bece-1ffa32b6f4c8 · outbound

This paper cites Rosenberg, The Laplacian on a Riemannian manifold: an introduction to analysis on manifolds.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Rosenberg, The Laplacian on a Riemannian manifold: an introduction to analysis on manifolds

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.121339Z

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Observation 1c6d6caf-108c-4418-b375-cc083cc56ca5 · outbound

This paper cites Understanding convolution on graphs via energies.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Understanding convolution on graphs via energies

Reference 36

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This paper cites Revisiting Graph Neural Networks: All We Have is Low-Pass Filters.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Revisiting Graph Neural Networks: All We Have is Low-Pass Filters

Reference 37

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This paper cites A generalization of vit/mlp-mixer to graphs,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion A generalization of vit/mlp-mixer to graphs,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.111585Z

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Observation 34a4bdc7-b962-4aa0-be6d-044946af546e · outbound

This paper cites Taming local effects in graph-based spatiotemporal forecasting,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Taming local effects in graph-based spatiotemporal forecasting,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.101146Z

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 750dd503-b963-48fc-bbd2-87684b5120a5 · outbound

This paper cites TSMixer: An All-MLP Architecture for Time Series Forecasting.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 40

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Observation 6a78978f-2425-4ea3-b10f-954085f39924 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Linformer: Self-Attention with Linear Complexity

Reference 41

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Observation cd0197ad-50a8-4794-90ed-830b3858f61d · outbound

This paper cites U-air: When urban air quality inference meets big data,.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion U-air: When urban air quality inference meets big data,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:05:13.090101Z

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Observation 47ac378f-f375-44db-9e74-1c90303fc334 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 43

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Source-reported events for the cited work

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Observation 3219deb4-fbed-4acd-bba5-0a2573f90135 · outbound

This paper cites Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T11:05:12.883348Z

Source-reported events for the cited work

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