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Paper Citation Record · LEDGER

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers

As of 13 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2411.17296.

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

pith.paper-citation-record.v1
2411.17296 v3

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:21:08.084304Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

17 of 17 outbound references displayed

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  • unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6715a87d-9e8b-4de2-a1e8-14fdb3f4095e · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers KAN: Kolmogorov-Arnold Networks

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:21:08.029786Z digest=sha256:d805fe0e6fe20cd020c7dda68177255cfc33c63843eb5717f1e9cb2c1f897216

Observation 80f631e7-7c17-4ca1-8f43-608f6e3b76f7 · outbound

This paper cites However, polynomial filter of BernNet is difficult to fit these filters, especially other complex filters beyond low-pass and high-pass filters.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers However, polynomial filter of BernNet is difficult to fit these filters, especially other complex filters beyond low-pass and high-pass filters

Reference 5

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 017a99ab-fed2-480d-8993-920d81c1c4f4 · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Pitfalls of Graph Neural Network Evaluation

Reference 6

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Observation b87c7f13-8290-4319-b768-71d8edb44c84 · outbound

This paper cites Graph convolutional networks using heat kernel for semi- supervised learning.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Graph convolutional networks using heat kernel for semi- supervised learning

Reference 8

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7969e504-e3e4-4c7d-b533-7a3ac9f64220 · outbound

This paper cites Graph-Bert: Only Attention is Needed for Learning Graph Representations.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 10

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source=pdf_text observed=2026-08-12T12:21:08.054950Z digest=sha256:9cf8f73551fdc595c72054f34edfac06dcd23de3cc83e50083e58982ca5aaf72

Observation 8052e20e-b5ed-4275-885a-267597b11e7c · outbound

This paper cites EXPERIMENTAL DETAILS A.1.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers EXPERIMENTAL DETAILS A.1

Reference 11

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:21:08.058956Z digest=sha256:72fa2cd536a173b5a466e34208d207ecbd89f8322a93780f53c068ba07a112fd

Observation f5d62347-1cb6-4367-abff-08e61a13e9a4 · outbound

This paper cites For other datasets, we run the experiments ten times, each with a different random split.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers For other datasets, we run the experiments ten times, each with a different random split

Reference 13

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source=pdf_text observed=2026-08-12T12:21:08.067258Z digest=sha256:a8f23d20bec0cda29d3ba7a6aeec3b81e8fbb87b95b7e753b4f004e8956ff6db

Observation 1b2f2440-de33-4137-b8f8-7efce99da15e · outbound

This paper cites As a result, GrokFormer learns to adaptively use a larger K to capture a broader range of frequency components, rather than restricting itself to a small K.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers As a result, GrokFormer learns to adaptively use a larger K to capture a broader range of frequency components, rather than restricting itself to a small K

Reference 15

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Observation 4d93eb73-8290-46bd-a4b7-3d0dae69c190 · outbound

This paper cites an unresolved cited work.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Unresolved cited work

Reference 16

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Observation df52c5c7-6a0e-4a7c-938d-dba46ac6f0ba · outbound

This paper cites ai and bi are learnable parameters.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers ai and bi are learnable parameters

Reference 17

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source=pdf_text observed=2026-08-12T12:21:08.084304Z digest=sha256:f345f7b97bc80bf51430fbac7b742f1a538324a27e1d0d8398327ea4fc046db8

Observation 3084986c-5095-49c3-a10c-b3f5cf1004d6 · outbound

This paper cites Residual Gated Graph ConvNets.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Residual Gated Graph ConvNets

Reference 2005

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Observation fd94045e-83e2-4725-9300-e0f03dfa5cf8 · outbound

This paper cites We run the experiments with 2,000 epochs and stop the training in advance if the validation loss does not continuously decrease for 200 epochs.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers We run the experiments with 2,000 epochs and stop the training in advance if the validation loss does not continuously decrease for 200 epochs

Reference 2015

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6db51c52-6fdd-4db2-824e-753947feadd1 · outbound

This paper cites Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation

Reference 2019

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source=pdf_text observed=2026-08-12T12:21:08.050856Z digest=sha256:7656ceb6808ce68814670c474fbcd2072e77853be23a206abfa962009080f0e6

Observation bd60c87b-7ef1-4cec-a49b-885428c78053 · outbound

This paper cites D., Kramer, S., and Helma, C.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers D., Kramer, S., and Helma, C

Reference 2020

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:21:08.042998Z digest=sha256:95d94ecd2d91c3000ae9c3c1bdc9d4eaedfbe70ee600f209bb03476a051d17fd

Observation 3b79fd7f-1752-4135-b2c5-4cbc29f423ad · outbound

This paper cites A Generalization of Transformer Networks to Graphs.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers A Generalization of Transformer Networks to Graphs

Reference 2021

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source=pdf_text observed=2026-08-12T12:21:08.024557Z digest=sha256:bfbde741c408143906c3f0ed2805da27613a716ec3bfd8a63d02add8df9797d1

Observation d5a3b494-4f3d-4c38-a17c-6c88ac37b83a · outbound

This paper cites SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning

Reference 2022

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source=pdf_text observed=2026-08-12T12:21:08.019107Z digest=sha256:65b81d0949fd61a61f900b7a813be2739def78509d1286ec2d24642027421f60

Observation 7a7107f1-e615-43eb-b8d3-3225f9a11b8a · outbound

This paper cites Molecule Attention Transformer.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Molecule Attention Transformer

Reference 2023

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Pith citing papers

No inbound Pith citation observations are available.