Paper Citation Record · LEDGER

Wasserstein Hypergraph Neural Network

As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.09682.

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

pith.paper-citation-record.v1
2506.09682 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:25.701120Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

41 of 41 outbound references displayed

verified exact1
verified fuzzy32
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a28b10e9-0ac1-4d8e-a5be-d9f65dfb1988 · outbound

This paper cites Graph AI in Medicine.

Wasserstein Hypergraph Neural Network Graph AI in Medicine

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T04:47:25.825788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eada2c06-ca93-49be-b3fe-f4e4c92555de · outbound

This paper cites an unresolved cited work.

Wasserstein Hypergraph Neural Network Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:47:26.311530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f5a11a0-2046-45b9-a8f9-e56fac0175a3 · outbound

This paper cites Learning to simulate complex physics with graph networks.

Wasserstein Hypergraph Neural Network Learning to simulate complex physics with graph networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.298362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e1553d79-3c24-4252-947f-0465d010590b · outbound

This paper cites Graphcast: Learning skillful medium-range global weather forecasting, 2023.

Wasserstein Hypergraph Neural Network Graphcast: Learning skillful medium-range global weather forecasting, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.284333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c2701fa2-294a-4090-ab2f-af2829d4e849 · outbound

This paper cites Fake News Detection on Social Media using Geometric Deep Learning.

Wasserstein Hypergraph Neural Network Fake News Detection on Social Media using Geometric Deep Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:25.550198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0ad11c5-7104-47aa-b13a-e536ffdd71df · outbound

This paper cites Schoenholz, Patrick F.

Wasserstein Hypergraph Neural Network Schoenholz, Patrick F

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.271115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 652faaeb-685e-41d7-b105-d1078ee84c5b · outbound

This paper cites Skipgnn: predicting molecular interactions with skip-graph networks.Scientific reports, 10(1):1–16, 2020.

Wasserstein Hypergraph Neural Network Skipgnn: predicting molecular interactions with skip-graph networks.Scientific reports, 10(1):1–16, 2020

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.257466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8fa1e800-df6d-47f2-87ec-2c95dfaaae59 · outbound

This paper cites You are allset: A multiset function framework for hypergraph neural networks.

Wasserstein Hypergraph Neural Network You are allset: A multiset function framework for hypergraph neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.243216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b38536b-44b4-4ca8-b1db-db3bbd18ab09 · outbound

This paper cites Equivariant Hypergraph Diffusion Neural Operators.

Wasserstein Hypergraph Neural Network Equivariant Hypergraph Diffusion Neural Operators

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:25.568407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cd25ec3-6ed3-432d-a463-7dc53d9ba3c0 · outbound

This paper cites Advances in set function learning: A survey of techniques and applications, 2025.

Wasserstein Hypergraph Neural Network Advances in set function learning: A survey of techniques and applications, 2025

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.216291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc424cf7-9928-4fe1-b4b6-0d25caeda5b1 · outbound

This paper cites Deep sets.

Wasserstein Hypergraph Neural Network Deep sets

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.202379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d0f9164-199e-42cc-9441-670d6e4aceae · outbound

This paper cites Set transformer: A framework for attention-based permutation-invariant neural networks.

Wasserstein Hypergraph Neural Network Set transformer: A framework for attention-based permutation-invariant neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.189238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7faece07-c672-436f-8b5f-8bf6d4a7b2ce · outbound

This paper cites Pooling by sliced-wasserstein embedding.

Wasserstein Hypergraph Neural Network Pooling by sliced-wasserstein embedding

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.175688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 098318db-634f-48d8-86c1-9e32718469cb · outbound

This paper cites Hypergraph neural networks.Proc.

Wasserstein Hypergraph Neural Network Hypergraph neural networks.Proc

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.161606Z

Source-reported events for the cited work

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Observation 4968e61d-5c67-4a88-9486-48763c0b1f0c · outbound

This paper cites Training-Free Message Passing for Learning on Hypergraphs.

Wasserstein Hypergraph Neural Network Training-Free Message Passing for Learning on Hypergraphs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:25.595564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36214267-4454-4002-92f4-c24635da722b · outbound

This paper cites an unresolved cited work.

Wasserstein Hypergraph Neural Network Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:47:26.147706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e26b8b60-035a-4cff-b498-b4830b210dda · outbound

This paper cites Learnable hypergraph laplacian for hypergraph learning.

Wasserstein Hypergraph Neural Network Learnable hypergraph laplacian for hypergraph learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.133958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation abe34827-76a1-470b-bbbd-70d6a4f19fdc · outbound

This paper cites Hypergraph neural networks through the lens of message passing: A common perspective to homophily and architecture design.Transactions on Machine Learning Research, 2025.

Wasserstein Hypergraph Neural Network Hypergraph neural networks through the lens of message passing: A common perspective to homophily and architecture design.Transactions on Machine Learning Research, 2025

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.120079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6843dc9b-5ee5-48ea-a7ae-4e7ea4086958 · outbound

This paper cites MLP-mixer: An all-MLP architecture for vision.

Wasserstein Hypergraph Neural Network MLP-mixer: An all-MLP architecture for vision

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.106573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed96ce7a-f012-49a4-9d64-47a73f63d849 · outbound

This paper cites Co-representation neural hypergraph diffusion for edge- dependent node classification, 2025.

Wasserstein Hypergraph Neural Network Co-representation neural hypergraph diffusion for edge- dependent node classification, 2025

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.092910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 90cc8869-fc4b-455e-945e-5d60281002fc · outbound

This paper cites Classification of edge-dependent labels of nodes in hypergraphs.

Wasserstein Hypergraph Neural Network Classification of edge-dependent labels of nodes in hypergraphs

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.079365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation df6ac600-c099-4927-aa0a-aecccb5aa127 · outbound

This paper cites Tensorized hypergraph neural networks, 2024.

Wasserstein Hypergraph Neural Network Tensorized hypergraph neural networks, 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.066044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 644d371d-64a7-43ab-b0b6-526d8f05ceee · outbound

This paper cites Murphy, Balasubramaniam Srinivasan, Vinayak Rao, and Bruno Ribeiro.

Wasserstein Hypergraph Neural Network Murphy, Balasubramaniam Srinivasan, Vinayak Rao, and Bruno Ribeiro

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.052225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 711894bb-b7ad-4a83-baf9-11376188fb9a · outbound

This paper cites Rep the Set: Neural Networks for Learning Set Representations.

Wasserstein Hypergraph Neural Network Rep the Set: Neural Networks for Learning Set Representations

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:47:25.756330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ae6cb355-3711-4c21-a170-4d52edec046d · outbound

This paper cites FSPool: Learning set representations with featurewise sort pooling.

Wasserstein Hypergraph Neural Network FSPool: Learning set representations with featurewise sort pooling

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.038562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dcaeb7df-e9a1-4cc1-a740-c2e0e259524b · outbound

This paper cites Equivari- ant vs.

Wasserstein Hypergraph Neural Network Equivari- ant vs

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.024428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc3e1260-6c50-4e45-9fc1-10f065e2dbe6 · outbound

This paper cites Wasserstein generative adversarial networks.

Wasserstein Hypergraph Neural Network Wasserstein generative adversarial networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.010257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d1efaa01-cae1-48b5-96e4-73709364c136 · outbound

This paper cites Distributional sliced-wasserstein and applications to generative modeling.

Wasserstein Hypergraph Neural Network Distributional sliced-wasserstein and applications to generative modeling

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:25.995729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bdefebee-f7b2-4938-83b3-90b9d7441c05 · outbound

This paper cites Learning embeddings into entropic wasserstein spaces, 2019.

Wasserstein Hypergraph Neural Network Learning embeddings into entropic wasserstein spaces, 2019

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:25.982048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ecf49432-8c45-4fc0-a3df-64392684cdda · outbound

This paper cites Point-set distances for learning representations of 3d point clouds, 2021.

Wasserstein Hypergraph Neural Network Point-set distances for learning representations of 3d point clouds, 2021

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:25.967536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 48a49f8a-6e43-411b-802b-8718e57e5658 · outbound

This paper cites Wasserstein weisfeiler–lehman graph kernels.

Wasserstein Hypergraph Neural Network Wasserstein weisfeiler–lehman graph kernels

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:25.952919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c36b54a6-8701-4279-be9e-171791afd605 · outbound

This paper cites Rohde, and Heiko Hoffmann.

Wasserstein Hypergraph Neural Network Rohde, and Heiko Hoffmann

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:25.937956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a9f4aefc-8816-47fd-8c1e-43c33470d4a7 · outbound

This paper cites A trainable optimal transport embedding for feature aggregation and its relationship to attention, 2021.

Wasserstein Hypergraph Neural Network A trainable optimal transport embedding for feature aggregation and its relationship to attention, 2021

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:25.924298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0999adb3-e0aa-427a-984f-9b1c478398fd · outbound

This paper cites Learning wasserstein embeddings.

Wasserstein Hypergraph Neural Network Learning wasserstein embeddings

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:25.910456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 098ae10c-ab9e-41ef-9168-38fc11cc4ccc · outbound

This paper cites Unignn: a unified framework for graph and hypergraph neural net- works.

Wasserstein Hypergraph Neural Network Unignn: a unified framework for graph and hypergraph neural net- works

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:26.229616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 510e0d38-f9a6-43c8-a065-1dac078b8800 · outbound

This paper cites Sliced and radon wasser- stein barycenters of measures.

Wasserstein Hypergraph Neural Network Sliced and radon wasser- stein barycenters of measures

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:25.896841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03449b19-fd13-46b2-81c8-1338d21aacef · outbound

This paper cites Hypergcn: A new method for training graph convolutional networks on hypergraphs.

Wasserstein Hypergraph Neural Network Hypergcn: A new method for training graph convolutional networks on hypergraphs

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:25.882340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a20fe583-8159-480b-9519-dba6367b890c · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes, 2015.

Wasserstein Hypergraph Neural Network 3d shapenets: A deep representation for volumetric shapes, 2015

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:25.688799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf98e87-e7c9-4c66-9743-a30380b7e7b1 · outbound

This paper cites On visual similarity based 3d model retrieval.Comput.

Wasserstein Hypergraph Neural Network On visual similarity based 3d model retrieval.Comput

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:25.856399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf1eab10-a7bb-450a-962f-427f9849a81e · outbound

This paper cites Twenty Newsgroups.

Wasserstein Hypergraph Neural Network Twenty Newsgroups

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:25.696997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db7e2788-29f4-48f6-ba2c-917839223f6e · outbound

This paper cites Hnhn: Hypergraph networks with hyperedge neurons.

Wasserstein Hypergraph Neural Network Hnhn: Hypergraph networks with hyperedge neurons

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:25.841610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.