Paper Citation Record · LEDGER

Benchmarking Sheaf Neural Networks for Inductive Tasks

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2608.02558.

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

pith.paper-citation-record.v1
2608.02558 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:52:32.628724Z

measured 22 of 22 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

22 of 22 outbound references displayed

verified exact0
verified fuzzy0
unresolved22
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8ff668e-2835-4206-90f0-aa5a00be3f9b · outbound

This paper cites Heterogeneous Sheaf Neural Networks.

Benchmarking Sheaf Neural Networks for Inductive Tasks Heterogeneous Sheaf Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.586728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83b6af5b-9028-479e-be8d-35852e7b0cc0 · outbound

This paper cites an unresolved cited work.

Benchmarking Sheaf Neural Networks for Inductive Tasks Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:32.628724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d562799c-88e6-41d0-8b2b-913d79c4817d · outbound

This paper cites Di Giovanni, F.; Rowbottom, J.; Chamberlain, B.

Benchmarking Sheaf Neural Networks for Inductive Tasks Di Giovanni, F.; Rowbottom, J.; Chamberlain, B

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.703856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e754575a-afed-4c66-8708-0ccdfabcb511 · outbound

This paper cites Long Range Graph Benchmark.

Benchmarking Sheaf Neural Networks for Inductive Tasks Long Range Graph Benchmark

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.828903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2574a46f-3955-4344-a97e-a210529aecaa · outbound

This paper cites Sheaf Neural Networks.

Benchmarking Sheaf Neural Networks for Inductive Tasks Sheaf Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.996213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 005372e8-4563-4945-8faa-3f68ed7555e3 · outbound

This paper cites InInternational conference on machine learning, 12724–12745.

Benchmarking Sheaf Neural Networks for Inductive Tasks InInternational conference on machine learning, 12724–12745

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:32.050717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e45168b-71f6-48d9-acab-54e7a87e01c5 · outbound

This paper cites What Can We Learn from State Space Models for Machine Learning on Graphs?.

Benchmarking Sheaf Neural Networks for Inductive Tasks What Can We Learn from State Space Models for Machine Learning on Graphs?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:32.160373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e509403b-5bf0-4ed4-a68d-41e23dbd1eb9 · outbound

This paper cites InProceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 655–665.

Benchmarking Sheaf Neural Networks for Inductive Tasks InProceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 655–665

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:32.220580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7992d83-15b5-4cd1-98e2-959a0f6e6d0c · outbound

This paper cites Graph External Attention Enhanced Transformer.

Benchmarking Sheaf Neural Networks for Inductive Tasks Graph External Attention Enhanced Transformer

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:32.275384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8562eba-2ef9-4603-9092-7c9e3a26b71b · outbound

This paper cites Ma, L.; Lin, C.; Lim, D.; Romero-Soriano, A.; Dokania, P.

Benchmarking Sheaf Neural Networks for Inductive Tasks Ma, L.; Lin, C.; Lim, D.; Romero-Soriano, A.; Dokania, P

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:32.343392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9dbef98-3231-409d-b82c-8eea064797e7 · outbound

This paper cites Graph Inductive Biases in Transformers without Message Passing.

Benchmarking Sheaf Neural Networks for Inductive Tasks Graph Inductive Biases in Transformers without Message Passing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:32.401471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a7a1f5-207c-4345-b39a-83f65bb5a417 · outbound

This paper cites Recipe for a General, Powerful, Scalable Graph Transformer.

Benchmarking Sheaf Neural Networks for Inductive Tasks Recipe for a General, Powerful, Scalable Graph Transformer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:32.459395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3ef7989-1b49-4d40-8557-fdac3ff3f124 · outbound

This paper cites arXiv preprint arXiv:2507.00647.

Benchmarking Sheaf Neural Networks for Inductive Tasks arXiv preprint arXiv:2507.00647

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:32.514271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db90781c-5ca4-4367-99fb-ebce40d2ee29 · outbound

This paper cites Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark.

Benchmarking Sheaf Neural Networks for Inductive Tasks Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:32.524211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8cc38de-0338-40ca-9aa5-c7638eaf20ee · outbound

This paper cites Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces.

Benchmarking Sheaf Neural Networks for Inductive Tasks Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:32.579447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2bc7e98-a69c-47f7-a36d-fd1a6f4bca3c · outbound

This paper cites A Fair Comparison of Graph Neural Networks for Graph Classification.

Benchmarking Sheaf Neural Networks for Inductive Tasks A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.889191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aeb2f41-e962-4670-8c2f-22b08c9087f1 · outbound

This paper cites On the Bottleneck of Graph Neural Networks and its Practical Implications.

Benchmarking Sheaf Neural Networks for Inductive Tasks On the Bottleneck of Graph Neural Networks and its Practical Implications

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.411186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d515439-319d-4069-9171-f838d1169cb5 · outbound

This paper cites How Attentive are Graph Attention Networks?.

Benchmarking Sheaf Neural Networks for Inductive Tasks How Attentive are Graph Attention Networks?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.645165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31d2cbe8-35b5-4ec7-a8cc-f93ccda6903e · outbound

This paper cites Understanding convolution on graphs via energies.

Benchmarking Sheaf Neural Networks for Inductive Tasks Understanding convolution on graphs via energies

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.771665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89b9b169-32c4-4e69-9a5b-c9c5f99c1f4e · outbound

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

Benchmarking Sheaf Neural Networks for Inductive Tasks Specformer: Spectral Graph Neural Networks Meet Transformers

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.527930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00a07dc-ef93-41ed-a56d-93d71c3f6548 · outbound

This paper cites Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products.

Benchmarking Sheaf Neural Networks for Inductive Tasks Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.472475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df50f0f3-207f-45f8-a4fb-1d4c8e969f61 · outbound

This paper cites Sheaves Reloaded: A Directional Awakening.

Benchmarking Sheaf Neural Networks for Inductive Tasks Sheaves Reloaded: A Directional Awakening

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.947258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.