Paper Citation Record · LEDGER

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information

As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2509.09147.

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

pith.paper-citation-record.v1
2509.09147 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:41:45.988554Z

measured 40 of 40 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 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

40 of 40 outbound references displayed

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verified fuzzy0
unresolved40
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 364b6686-0354-4591-b077-f615f5b06466 · outbound

This paper cites The emerging field of signal processing on graphs: Ex- tending high dimensional data analysis to networks and other irregular domains,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information The emerging field of signal processing on graphs: Ex- tending high dimensional data analysis to networks and other irregular domains,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.010315Z

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Observation 2fffffb3-70b6-418d-94e7-6e09c263ad5d · outbound

This paper cites Big data analysis with signal processing on graphs: Representation and processing of massive data sets with irregular structure,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Big data analysis with signal processing on graphs: Representation and processing of massive data sets with irregular structure,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.072979Z

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Observation 0877a4b6-015f-4b1f-a25f-743d7303096f · outbound

This paper cites Graph signal denoising via trilateral filter on graph spectral domain,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Graph signal denoising via trilateral filter on graph spectral domain,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.168369Z

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Observation 1685423d-6055-47cc-a3c3-2077873534e1 · outbound

This paper cites Graph Signal Processing -- Part I: Graphs, Graph Spectra, and Spectral Clustering.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Graph Signal Processing -- Part I: Graphs, Graph Spectra, and Spectral Clustering

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.269764Z

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Observation 528bdec6-80e4-49a8-8247-4fa9ab994ecd · outbound

This paper cites Windowed fractional Fourier transform on graphs: Properties and fast algorithm,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Windowed fractional Fourier transform on graphs: Properties and fast algorithm,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.314815Z

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Observation 6b16e8cb-1cd4-4422-90e3-a59e6912ed3b · outbound

This paper cites Windowed fractional Fourier transform on graphs: Fractional translation operator and Hausdorff-Young inequality,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Windowed fractional Fourier transform on graphs: Fractional translation operator and Hausdorff-Young inequality,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.381508Z

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Observation 73a9faf6-81f5-4bb7-bf3b-4526c46f79c8 · outbound

This paper cites Spectral graph fractional Fourier transform for directed graphs and its application,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Spectral graph fractional Fourier transform for directed graphs and its application,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.452232Z

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Observation 5e0c1362-fde8-47b7-b7d3-9d94519eec57 · outbound

This paper cites Generalized sampling of graph signals with the prior information based on graph fractional Fourier transform,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Generalized sampling of graph signals with the prior information based on graph fractional Fourier transform,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.508713Z

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Observation 83834766-28b2-4cfd-936f-88b4d89a2dff · outbound

This paper cites Hermitian random walk graph Fourier transform for directed graphs and its applications,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Hermitian random walk graph Fourier transform for directed graphs and its applications,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.580539Z

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Observation 53dd4807-a83b-43dd-83fa-aae616c86bcf · outbound

This paper cites The fractional Fourier transform on graphs,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information The fractional Fourier transform on graphs,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.677466Z

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Observation e806bee3-58f1-4b87-8f1f-8a1cc738a7f1 · outbound

This paper cites Optimal fractional Fourier filtering for graph signals,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Optimal fractional Fourier filtering for graph signals,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.718685Z

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Observation daafa406-1d49-48a0-ba21-09d7ebc9a53d · outbound

This paper cites Graph fractional Fourier transform: A unified theory,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Graph fractional Fourier transform: A unified theory,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.858735Z

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Observation a4c4a413-567f-47ea-803d-127d3de1e1ce · outbound

This paper cites Joint time-vertex fractional Fourier transform,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Joint time-vertex fractional Fourier transform,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.872652Z

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Observation d8cfdf8b-c65f-432a-aca7-ae08fdd2d89f · outbound

This paper cites Wiener filtering in joint time- vertex fractional Fourier domains,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Wiener filtering in joint time- vertex fractional Fourier domains,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.942903Z

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Observation 125f111d-489e-4730-8479-a49722ea89af · outbound

This paper cites Trainable Joint Time-Vertex Fractional Fourier Transform.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Trainable Joint Time-Vertex Fractional Fourier Transform

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:44.978523Z

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Observation 098fbf99-fd85-4ae0-86ea-1f1156e699c3 · outbound

This paper cites Trainable fractional Fourier transform,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Trainable fractional Fourier transform,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.050887Z

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Observation 46198b24-17ce-4bc8-8075-343c3de8da0f · outbound

This paper cites Discrete signal processing on graphs,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Discrete signal processing on graphs,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.109005Z

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Observation 0a624d1a-823a-4ddf-81fb-ed829092d8f6 · outbound

This paper cites Operator theory-based computation of linear canonical transforms,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Operator theory-based computation of linear canonical transforms,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.296522Z

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Observation 220536e6-4ecd-4139-9447-bcf261869c60 · outbound

This paper cites Discrete linear canonical transform based on hyperdifferential operators,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Discrete linear canonical transform based on hyperdifferential operators,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.388400Z

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Observation 62ab2084-72fb-4738-a957-10b30d5b07e8 · outbound

This paper cites an unresolved cited work.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.554536Z

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Observation 1872d2fe-bd71-49c9-a629-a7efd12aee6a · outbound

This paper cites Reconstruction of time-varying graph signals via Sobolev smoothness,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Reconstruction of time-varying graph signals via Sobolev smoothness,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.688642Z

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Observation 601a9b1d-e8d5-4951-babb-74c4e4386f06 · outbound

This paper cites Stationary signal processing on graphs,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Stationary signal processing on graphs,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.748635Z

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Observation da92392a-eb4e-4c57-88ef-d9cf8321bc4d · outbound

This paper cites SVD-based graph Fourier transforms on directed product graphs,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information SVD-based graph Fourier transforms on directed product graphs,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.810515Z

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Observation 12e2d9d3-a0a8-41b3-9ea3-f490ea660b5b · outbound

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

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.870684Z

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Observation 243c3c03-78a8-4910-b019-6055261b3643 · outbound

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

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.950078Z

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Observation 1b57e05f-993b-4ee1-8fcf-51c664a9da97 · outbound

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

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Diffusion convolutional recurrent neural network: Data-driven traffic forecasting,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.953013Z

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Observation d94e27cd-9fde-4312-a874-9dbec0a78eae · outbound

This paper cites Spectral temporal graph neural network for multivariate time-series forecasting,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Spectral temporal graph neural network for multivariate time-series forecasting,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.955480Z

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Observation da2b5ab6-a6cf-44f7-a698-d4cf8cc34aca · outbound

This paper cites Modeling long- and short- term temporal patterns with deep neural networks,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Modeling long- and short- term temporal patterns with deep neural networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.958001Z

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Observation 1a1f51e5-f5b6-4514-8445-b59bd9cac9c8 · outbound

This paper cites Frequency-domain MLPs are more effective learners in time series forecasting,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Frequency-domain MLPs are more effective learners in time series forecasting,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.960626Z

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Observation c2bbebc7-f5b8-44af-a5ac-9353339b46cd · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Semi-supervised classification with graph convolutional networks,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.963223Z

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Observation 376a86e1-098a-4414-ba92-2b00163cfbe9 · outbound

This paper cites Graph Attention Networks.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Graph Attention Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.965858Z

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Observation a85896c6-ccf1-4316-ac00-6f3ba8f38c6b · outbound

This paper cites Predict then propagate: Graph neural networks meet personalized pagerank,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Predict then propagate: Graph neural networks meet personalized pagerank,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.968592Z

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Observation d1ab0594-a0d5-4fb2-b69e-513f24a63490 · outbound

This paper cites Graph neural networks with convolutional arma filters,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Graph neural networks with convolutional arma filters,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.970962Z

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Observation 16fadd9a-b158-4d13-8220-8fc791d630f9 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Convolutional neural networks on graphs with fast localized spectral filtering,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.973833Z

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Observation 11f9b9c4-cdfd-404a-a322-906be59e4c70 · outbound

This paper cites BernNet: Learning arbitrary graph spectral filters via bernstein approximation,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information BernNet: Learning arbitrary graph spectral filters via bernstein approximation,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.976196Z

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Observation 3c182c49-a6c6-4ab9-98f4-b8bafc4409cc · outbound

This paper cites How powerful are spectral graph neural networks,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information How powerful are spectral graph neural networks,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.978632Z

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Observation 23fd4b4f-aab0-403b-ba54-fb9bad331f57 · outbound

This paper cites Equivariant and stable positional encoding for more powerful graph neural networks,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Equivariant and stable positional encoding for more powerful graph neural networks,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.981258Z

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Observation dcc88c6c-488e-42f3-aee1-a7f86b431c12 · outbound

This paper cites LanczosNet: Multi-scale deep graph convolutional networks,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information LanczosNet: Multi-scale deep graph convolutional networks,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.983672Z

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Observation 700fc5ed-453f-480e-8b53-dd1a825cce6b · outbound

This paper cites Specformer: Spectral graph neural networks meet transformers,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Specformer: Spectral graph neural networks meet transformers,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.986068Z

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Observation 74ed6979-6dc5-4a36-9c1e-8c04090abd51 · outbound

This paper cites Masked label prediction: Unified message passing model for semi-supervised classification,.

JFRFFNet: A Data-Model Co-Driven Graph Signal Denoising Model with Partial Prior Information Masked label prediction: Unified message passing model for semi-supervised classification,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T19:41:45.988554Z

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Pith citing papers

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