Paper Citation Record · LEDGER

Graph Fourier Transformer with Structure-Frequency Information

As of 22 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2504.19740.

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

pith.paper-citation-record.v1
2504.19740 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:51:01.045261Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

12 of 12 outbound references displayed

verified exact4
verified fuzzy0
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de1bea25-b3e5-4f7b-8d85-aeefc8614d07 · outbound

This paper cites A Generalization of Transformer Networks to Graphs.

Graph Fourier Transformer with Structure-Frequency Information A Generalization of Transformer Networks to Graphs

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T05:51:00.997931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 623152eb-694a-47e8-a93f-e070f07081ba · outbound

This paper cites Are More Layers Beneficial to Graph Transformers?.

Graph Fourier Transformer with Structure-Frequency Information Are More Layers Beneficial to Graph Transformers?

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:51:01.153655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation deaf4790-ce06-4abe-87d3-a5b0b6532895 · outbound

This paper cites Learning Attributed Graph Representations with Communicative Message Passing Transformer.

Graph Fourier Transformer with Structure-Frequency Information Learning Attributed Graph Representations with Communicative Message Passing Transformer

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:51:01.137369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8558517e-3f8e-4b23-b4f5-c9df66eb575c · outbound

This paper cites Self-Attention with Cross-Lingual Position Representation.

Graph Fourier Transformer with Structure-Frequency Information Self-Attention with Cross-Lingual Position Representation

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:51:01.110616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d80c34a-51e2-48be-8d6a-8dc366a0de01 · outbound

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

Graph Fourier Transformer with Structure-Frequency Information DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T05:51:01.045261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9df0fc98-a51c-49fe-b55c-dad60c51277b · outbound

This paper cites Graph Attention Networks.

Graph Fourier Transformer with Structure-Frequency Information Graph Attention Networks

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-16T05:51:01.011868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df2aff77-241c-4d7f-a729-de3d38c3fbbb · outbound

This paper cites How Powerful are Graph Neural Networks?.

Graph Fourier Transformer with Structure-Frequency Information How Powerful are Graph Neural Networks?

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-16T05:51:01.016175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40d3cace-f48a-48b7-ba38-63fe808d8001 · outbound

This paper cites Gated Graph Sequence Neural Networks.

Graph Fourier Transformer with Structure-Frequency Information Gated Graph Sequence Neural Networks

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-16T05:51:01.020576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3011bf0c-d5a4-436c-8d6c-3dbd7520ed28 · outbound

This paper cites Entity Alignment with Reliable Path Reasoning and Relation-Aware Heterogeneous Graph Transformer.

Graph Fourier Transformer with Structure-Frequency Information Entity Alignment with Reliable Path Reasoning and Relation-Aware Heterogeneous Graph Transformer

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:51:01.093830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8f0fc091-5e45-4b1e-8345-18ffe8c149f1 · outbound

This paper cites Gradformer: Graph Transformer with Exponential Decay.

Graph Fourier Transformer with Structure-Frequency Information Gradformer: Graph Transformer with Exponential Decay

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T05:51:01.003102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 723beca4-0165-41a4-b17c-e260a9d1f93e · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Graph Fourier Transformer with Structure-Frequency Information Retentive Network: A Successor to Transformer for Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T05:51:01.033427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949c102e-cfc4-4254-856a-cba247a6e6f4 · outbound

This paper cites TUDataset: A collection of benchmark datasets for learning with graphs.

Graph Fourier Transformer with Structure-Frequency Information TUDataset: A collection of benchmark datasets for learning with graphs

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T05:51:01.007603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.