Paper Citation Record · LEDGER

OpenGT: A Comprehensive Benchmark For Graph Transformers

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2506.04765.

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

pith.paper-citation-record.v1
2506.04765 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:37:17.918143Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:53:49.813049Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T10:19:48.042489Z

Reference resolution

31 of 31 outbound references displayed

verified exact2
verified fuzzy6
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 898077ce-6a64-438b-aaa4-edcf33646288 · outbound

This paper cites Specformer: Spectral Graph Neural Networks Meet Transformers.

OpenGT: A Comprehensive Benchmark For Graph Transformers Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.015113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aac2664c-d79b-4dda-87c8-d95f7187fda1 · outbound

This paper cites A Generalization of Transformer Networks to Graphs.

OpenGT: A Comprehensive Benchmark For Graph Transformers A Generalization of Transformer Networks to Graphs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.125036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a21685-3f56-4d00-8526-fee579dd094f · outbound

This paper cites Long range graph benchmark.Advances in Neural Information Processing Systems, 35:22326–22340, 2022.

OpenGT: A Comprehensive Benchmark For Graph Transformers Long range graph benchmark.Advances in Neural Information Processing Systems, 35:22326–22340, 2022

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.303548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f6bbdbe-1f00-4782-94a8-86fb168560d8 · outbound

This paper cites Predict then Propagate: Graph Neural Networks meet Personalized PageRank.

OpenGT: A Comprehensive Benchmark For Graph Transformers Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.393239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b126786a-6b14-4bf2-9af9-667af9dbcb72 · outbound

This paper cites Benchmarking positional encodings for gnns and graph transformers.arXiv preprint arXiv:2411.12732, 2024.

OpenGT: A Comprehensive Benchmark For Graph Transformers Benchmarking positional encodings for gnns and graph transformers.arXiv preprint arXiv:2411.12732, 2024

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-07T10:37:18.288699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0917e71c-9c16-4b80-b240-776f57216b79 · outbound

This paper cites A generaliza- tion of vit/mlp-mixer to graphs.

OpenGT: A Comprehensive Benchmark For Graph Transformers A generaliza- tion of vit/mlp-mixer to graphs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:37:18.517189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f167dbb-08a3-4251-a7e5-d8852dd02342 · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.Advances in neural information processing systems, 33:22118–22133, 2020.

OpenGT: A Comprehensive Benchmark For Graph Transformers Open graph benchmark: Datasets for machine learning on graphs.Advances in neural information processing systems, 33:22118–22133, 2020

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.815409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6601500a-5414-44bd-93e9-e223c0a75925 · outbound

This paper cites Zinc: a free tool to discover chemistry for biology.Journal of chemical information and modeling, 52(7):1757–1768, 2012.

OpenGT: A Comprehensive Benchmark For Graph Transformers Zinc: a free tool to discover chemistry for biology.Journal of chemical information and modeling, 52(7):1757–1768, 2012

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:37:18.492765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56bf5f4b-05e7-4778-bba3-143072230824 · outbound

This paper cites The impact of positional encoding on length generalization in transformers.

OpenGT: A Comprehensive Benchmark For Graph Transformers The impact of positional encoding on length generalization in transformers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.824241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfe3b133-d714-4811-963c-501e70fb749a · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

OpenGT: A Comprehensive Benchmark For Graph Transformers Semi-Supervised Classification with Graph Convolutional Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.828642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8f820a4-4c21-44c5-a002-c3ed39b192df · outbound

This paper cites Rethinking graph transformers with spectral attention.Advances in Neural Information Processing Systems, 34:21618– 21629, 2021.

OpenGT: A Comprehensive Benchmark For Graph Transformers Rethinking graph transformers with spectral attention.Advances in Neural Information Processing Systems, 34:21618– 21629, 2021

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:37:18.465449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 89e765c8-2181-4430-aa4b-a8f835257a82 · outbound

This paper cites Graph Foundation Models: Concepts, Opportunities and Challenges.

OpenGT: A Comprehensive Benchmark For Graph Transformers Graph Foundation Models: Concepts, Opportunities and Challenges

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.837276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b12cc0f-037d-48f9-b87d-0ad3ce57eabd · outbound

This paper cites Graph inductive biases in transformers without message passing.

OpenGT: A Comprehensive Benchmark For Graph Transformers Graph inductive biases in transformers without message passing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:37:18.450007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a11b5338-59db-4175-8f88-2020bbbabb38 · outbound

This paper cites Geom-GCN: Geometric Graph Convolutional Networks.

OpenGT: A Comprehensive Benchmark For Graph Transformers Geom-GCN: Geometric Graph Convolutional Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.846436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6827674b-9595-4102-b2fc-55fdebbb26fd · outbound

This paper cites Recipe for a general, powerful, scalable graph transformer.Advances in Neural Information Processing Systems, 35:14501–14515, 2022.

OpenGT: A Comprehensive Benchmark For Graph Transformers Recipe for a general, powerful, scalable graph transformer.Advances in Neural Information Processing Systems, 35:14501–14515, 2022

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.850765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79ac701f-6937-4d3d-9fef-eb53f36ac124 · outbound

This paper cites Gemsec: Graph embedding with self clustering.

OpenGT: A Comprehensive Benchmark For Graph Transformers Gemsec: Graph embedding with self clustering

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:37:18.425060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5242cb86-dc58-413f-b86b-630c94a75144 · outbound

This paper cites Collective classification in network data.AI magazine, 29(3):93–93, 2008.

OpenGT: A Comprehensive Benchmark For Graph Transformers Collective classification in network data.AI magazine, 29(3):93–93, 2008

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.858690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab4701d-c977-4f54-ba5a-490407212429 · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

OpenGT: A Comprehensive Benchmark For Graph Transformers Pitfalls of Graph Neural Network Evaluation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.862735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28b4c126-bf7d-4db0-b167-b1b8071db7dd · outbound

This paper cites Graph transformers: A survey.arXiv preprint arXiv:2407.09777, 2024.

OpenGT: A Comprehensive Benchmark For Graph Transformers Graph transformers: A survey.arXiv preprint arXiv:2407.09777, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.866884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0790897c-a54a-41b3-9abe-e095fac40a99 · outbound

This paper cites Exphormer: Sparse transformers for graphs.

OpenGT: A Comprehensive Benchmark For Graph Transformers Exphormer: Sparse transformers for graphs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.871197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47150826-e0d6-487f-91a7-efcd986cc07a · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

OpenGT: A Comprehensive Benchmark For Graph Transformers Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.875590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce09a41a-a2a2-415e-a72e-5ce28281ee79 · outbound

This paper cites Graph Attention Networks.

OpenGT: A Comprehensive Benchmark For Graph Transformers Graph Attention Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.879741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e47c625-158f-4dcf-971c-4b0e1c936124 · outbound

This paper cites Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks.

OpenGT: A Comprehensive Benchmark For Graph Transformers Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.884128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4c368f-bcbe-44cb-8da9-4511ab62d529 · outbound

This paper cites Graph Triple Attention Network: A Decoupled Perspective.

OpenGT: A Comprehensive Benchmark For Graph Transformers Graph Triple Attention Network: A Decoupled Perspective

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:37:18.011379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dcda4c92-df46-4fc8-ac4b-407036e8defc · outbound

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

OpenGT: A Comprehensive Benchmark For Graph Transformers DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.892737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2de62c59-d81f-4613-9ba3-d64bf2c18bea · outbound

This paper cites Nodeformer: A scalable graph structure learning transformer for node classification.Advances in Neural Information Processing Systems, 35:27387–27401, 2022.

OpenGT: A Comprehensive Benchmark For Graph Transformers Nodeformer: A scalable graph structure learning transformer for node classification.Advances in Neural Information Processing Systems, 35:27387–27401, 2022

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.896955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5402d68a-398e-46f9-942d-80f4ae38197e · outbound

This paper cites Sgformer: Simplifying and empowering transformers for large-graph representations.Advances in Neural Information Processing Systems, 36:64753–64773, 2023.

OpenGT: A Comprehensive Benchmark For Graph Transformers Sgformer: Simplifying and empowering transformers for large-graph representations.Advances in Neural Information Processing Systems, 36:64753–64773, 2023

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.901191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 944e071d-271b-42fa-879e-670c3c0ca819 · outbound

This paper cites Less is More: on the Over-Globalizing Problem in Graph Transformers.

OpenGT: A Comprehensive Benchmark For Graph Transformers Less is More: on the Over-Globalizing Problem in Graph Transformers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.905384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1db3f1c-ae10-4dec-a78b-289aa4cd0f8d · outbound

This paper cites Do transformers really perform badly for graph representation?Advances in neural information processing systems, 34:28877–28888, 2021.

OpenGT: A Comprehensive Benchmark For Graph Transformers Do transformers really perform badly for graph representation?Advances in neural information processing systems, 34:28877–28888, 2021

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.909828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59b32ae0-e629-43ce-b9dd-c22669ac0b0f · outbound

This paper cites Design space for graph neural networks.Advances in Neural Information Processing Systems, 33:17009–17021, 2020.

OpenGT: A Comprehensive Benchmark For Graph Transformers Design space for graph neural networks.Advances in Neural Information Processing Systems, 33:17009–17021, 2020

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:37:18.350804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1277702b-ae65-41e4-bdb1-653f9fc908f5 · outbound

This paper cites Rethinking Positional Encoding.

OpenGT: A Comprehensive Benchmark For Graph Transformers Rethinking Positional Encoding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.918143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6f425177-0193-4497-bc56-cb6d7ce0f753 · inbound

A Spectral Theory of Normalized Corrected GNN Propagation cites this paper.

A Spectral Theory of Normalized Corrected GNN Propagation OpenGT: A Comprehensive Benchmark For Graph Transformers

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:19:48.043779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.