Paper Citation Record · LEDGER

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2608.09596.

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

pith.paper-citation-record.v1
2608.09596 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:25:55.903357Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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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

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 41ded3ec-59fb-4993-90d6-33f132ae1e0a · outbound

This paper cites Enhancing 5G radio planning with graph representations and deep learning,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Enhancing 5G radio planning with graph representations and deep learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.479654Z

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Observation 51caada9-05ed-486c-9c7c-dd8ca08ae882 · outbound

This paper cites Fault detection in telecom networks using bi- level federated graph neural networks,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Fault detection in telecom networks using bi- level federated graph neural networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.463615Z

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Observation 8ab69480-9986-48ce-a372-b687ebe0c8d5 · outbound

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

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Semi-Supervised Classification with Graph Convolutional Networks

Reference 3

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Observation 8d8ba2a0-d873-4484-9a1f-48a46752be71 · outbound

This paper cites Graph neural networks in computer vision - architectures, datasets and common approaches,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Graph neural networks in computer vision - architectures, datasets and common approaches,

Reference 4

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Observation 6eb0257a-784e-4bc4-b94a-77fdbd3e9d79 · outbound

This paper cites Improving expressivity of GNNs with subgraph-specific factor embedded normalization,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Improving expressivity of GNNs with subgraph-specific factor embedded normalization,

Reference 5

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Observation 91b371da-e5bc-4d1e-968f-bac1aad5fb31 · outbound

This paper cites A Survey on Oversmoothing in Graph Neural Networks.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN A Survey on Oversmoothing in Graph Neural Networks

Reference 6

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Source-reported events for the cited work

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Observation 6eee5f3e-513e-47ed-bab4-583e91755436 · outbound

This paper cites Over-squashing in graph neural networks: A comprehen- sive survey,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Over-squashing in graph neural networks: A comprehen- sive survey,

Reference 7

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Observation 1c215584-d8fa-4db2-8242-65d63ddae42c · outbound

This paper cites Simplifying graph convolutional networks,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Simplifying graph convolutional networks,

Reference 8

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Observation 920877d1-b75a-4839-9a5a-8b69bbc67627 · outbound

This paper cites Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

Reference 9

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Source-reported events for the cited work

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Observation e68326cb-fd47-42e5-9ac2-6f57357f6fcd · outbound

This paper cites Bag of tricks for training deeper graph neural networks: A comprehensive benchmark study,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Bag of tricks for training deeper graph neural networks: A comprehensive benchmark study,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.386750Z

Source-reported events for the cited work

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Observation 51607ce5-7f52-4344-9b7f-2c72de9a4c0a · outbound

This paper cites Gradient rewiring for editable graph neural network training,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Gradient rewiring for editable graph neural network training,

Reference 11

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Source-reported events for the cited work

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Observation 32ca3eda-df76-43b4-a4d3-6eade5fe2ac3 · outbound

This paper cites Dirichlet energy constrained learning for deep graph neural networks,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Dirichlet energy constrained learning for deep graph neural networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.355471Z

Source-reported events for the cited work

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Observation 391a7e70-4132-47ea-bd6b-ec5af85a8e70 · outbound

This paper cites Rewiring techniques to mitigate oversquashing and oversmoothing in GNNs: A survey,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Rewiring techniques to mitigate oversquashing and oversmoothing in GNNs: A survey,

Reference 13

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Source-reported events for the cited work

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Observation 44e191eb-0b6f-4947-8442-4fe7c51bb13d · outbound

This paper cites Reverse graph learning for graph neural network,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Reverse graph learning for graph neural network,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.324042Z

Source-reported events for the cited work

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Observation fa1d2b4e-02b7-41fb-a3d4-4c1b11062bf7 · outbound

This paper cites Self-supervised node representation learning via node-to-neighbourhood alignment,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Self-supervised node representation learning via node-to-neighbourhood alignment,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.307848Z

Source-reported events for the cited work

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Observation c63a74c3-d399-475b-b8cf-ad00c2cb7f9f · outbound

This paper cites Rewiring with positional en- codings for graph neural networks,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Rewiring with positional en- codings for graph neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.292687Z

Source-reported events for the cited work

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Observation d3bcd510-8e2b-4cd1-ae95-2e4c3309ad46 · outbound

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

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Tudataset: A collection of benchmark datasets for learning with graphs,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.278456Z

Source-reported events for the cited work

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Observation 2f4c52d4-179f-4456-9780-d6da300580d3 · outbound

This paper cites Graph attention networks,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Graph attention networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.263285Z

Source-reported events for the cited work

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Observation 0e360cb7-d6e7-48a1-80b7-d8b94e3c063e · outbound

This paper cites measuring and relieving the over-smoothing problem for graph neural networks from the topological view,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN measuring and relieving the over-smoothing problem for graph neural networks from the topological view,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.248021Z

Source-reported events for the cited work

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Observation bbde6e8c-6900-478e-b7bf-1d541bdc0cba · outbound

This paper cites On the trade- off between over-smoothing and over-squashing in deep graph neural networks,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN On the trade- off between over-smoothing and over-squashing in deep graph neural networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.232825Z

Source-reported events for the cited work

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Observation ecb0cd7c-b64a-4069-98b0-fb36f780724c · outbound

This paper cites un- derstanding virtual nodes: oversquashing and node heterogeneity,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN un- derstanding virtual nodes: oversquashing and node heterogeneity,

Reference 21

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Observation 903db435-33b4-4f22-9b24-6626cb8c59a3 · outbound

This paper cites On the connection between MPNN and graph transformer,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN On the connection between MPNN and graph transformer,

Reference 22

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Observation 4b8dd9a1-5d58-49ef-a5c5-c520c6d79e08 · outbound

This paper cites Fast and distributed equivariant graph neural networks by virtual node learning,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Fast and distributed equivariant graph neural networks by virtual node learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.184122Z

Source-reported events for the cited work

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Observation a03d6c4e-6f16-4323-88af-181689b995f5 · outbound

This paper cites Mitigating over-smoothing and over- squashing using augmentations of forman-ricci curvature,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Mitigating over-smoothing and over- squashing using augmentations of forman-ricci curvature,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.167941Z

Source-reported events for the cited work

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Observation bf02c42b-7a19-4b31-8efb-be3492d7a07e · outbound

This paper cites Understanding over-squashing and bottlenecks on graphs via curvature.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Understanding over-squashing and bottlenecks on graphs via curvature

Reference 25

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Source-reported events for the cited work

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Observation 4b0c6f72-c879-4d8f-b095-f388055e32b6 · outbound

This paper cites Cayley graph propagation,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Cayley graph propagation,

Reference 26

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Source-reported events for the cited work

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Observation 09a8985a-dc5c-4fcd-b55a-282ddc7d5c62 · outbound

This paper cites Virtual node tuning for few-shot node classification,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Virtual node tuning for few-shot node classification,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.137077Z

Source-reported events for the cited work

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Observation e77466fd-95c2-459f-acb0-b6998e4c7e89 · outbound

This paper cites Topological data analysis in graph neural networks: Surveys and perspectives,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Topological data analysis in graph neural networks: Surveys and perspectives,

Reference 28

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Source-reported events for the cited work

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Observation afd67095-0861-40e5-87b8-ae147f6fa26f · outbound

This paper cites Local virtual nodes for alleviating over-squashing in graph neural networks,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Local virtual nodes for alleviating over-squashing in graph neural networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.105750Z

Source-reported events for the cited work

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Observation f4ef483f-33ef-40f8-9bc0-29889c84a3f0 · outbound

This paper cites PANDA: Expanded width-aware message passing beyond rewiring,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN PANDA: Expanded width-aware message passing beyond rewiring,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.088626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e09808e8-672e-4d5b-aee4-86864e35c997 · outbound

This paper cites Understanding oversmoothing in diffusion-based GNNs from the perspective of operator semigroup theory,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Understanding oversmoothing in diffusion-based GNNs from the perspective of operator semigroup theory,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.071886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d43c732-53ce-4438-bc37-597410e32c9b · outbound

This paper cites Enhanced subgraph learning in 2-FWL GNNs via local connectivity, spectral, and distance encodings,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Enhanced subgraph learning in 2-FWL GNNs via local connectivity, spectral, and distance encodings,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.057194Z

Source-reported events for the cited work

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Observation aa7b0c80-eef5-45b8-99c4-05dd280853fc · outbound

This paper cites Demystifying higher-order graph neural networks,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Demystifying higher-order graph neural networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.040972Z

Source-reported events for the cited work

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Observation ef0cc86a-bb57-4682-9a42-11edb7ec2b9f · outbound

This paper cites Simple spectral graph convolution,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN Simple spectral graph convolution,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.024635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 546b7d05-292e-4398-8479-9ce1ca742ccc · outbound

This paper cites The effectiveness of curvature- based rewiring and the role of hyperparameters in GNNs revisited,.

LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN The effectiveness of curvature- based rewiring and the role of hyperparameters in GNNs revisited,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:25:56.008028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

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