Paper Citation Record · LEDGER

WILTing Trees: Interpreting the Distance Between MPNN Embeddings

As of 21 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2505.24642.

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

pith.paper-citation-record.v1
2505.24642 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:34.053534Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

38 of 38 outbound references displayed

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verified fuzzy31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0c5ae15-0498-43ff-b142-55640bfd3b2c · outbound

This paper cites Global explainability of GNNs via logic combination of learned concepts.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Global explainability of GNNs via logic combination of learned concepts

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:41.513311Z

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Observation 654c9934-81da-4696-bdc1-0ecc4fc9c4f9 · outbound

This paper cites Fine-grained expressivity of graph neural networks.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Fine-grained expressivity of graph neural networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:41.258419Z

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Observation 4e0ae1d4-9435-4b6d-8500-cb70ede9b9af · outbound

This paper cites An optimal lower bound on the number of variables for graph identification.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings An optimal lower bound on the number of variables for graph identification

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:41.016681Z

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This paper cites and Jegelka, S.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings and Jegelka, S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:40.639690Z

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Observation ba590ecb-05ab-4b35-be77-07cfe955014b · outbound

This paper cites J., Morris, C., Velingker, A., and Geerts, F.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings J., Morris, C., Velingker, A., and Geerts, F

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:40.351572Z

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Observation 7c6519ce-47c1-4775-ae55-3e13424ead14 · outbound

This paper cites M., and Maron, H.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings M., and Maron, H

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:40.028774Z

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Observation 2247908c-39e9-4de5-acc1-4461d1bf9681 · outbound

This paper cites and Reutter, J.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings and Reutter, J

Reference 7

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Observation fd4a6085-9780-48cb-ba72-340c695eca49 · outbound

This paper cites S., Riley, P.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings S., Riley, P

Reference 8

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This paper cites Expressiveness and approximation properties of graph neural network.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Expressiveness and approximation properties of graph neural network

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:39.456039Z

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Observation 3c7ef4da-29dd-4b5a-a886-ca461499d6d7 · outbound

This paper cites Derivation and validation of toxicophores for mutagenicity prediction.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Derivation and validation of toxicophores for mutagenicity prediction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:39.280536Z

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Observation 5341d07a-8161-4a44-aff3-bbd45c173fe5 · outbound

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WILTing Trees: Interpreting the Distance Between MPNN Embeddings Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation ce9404ae-89a4-4e59-b560-4e17457e01d9 · outbound

This paper cites A neural collapse perspective on feature evolution in graph neural networks.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings A neural collapse perspective on feature evolution in graph neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:39.122954Z

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Observation b80e1763-b48c-46a7-a683-7f5aaa318704 · outbound

This paper cites M., Giscard, P., and Wilson, R.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings M., Giscard, P., and Wilson, R

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:38.976367Z

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Observation 8325b85f-2cbd-4be0-bf2b-4a211820ed08 · outbound

This paper cites M., Johansson, F.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings M., Johansson, F

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:38.787788Z

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Observation dcac2847-7d62-4d8e-b50c-b9a6c8b4bbe2 · outbound

This paper cites Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks

Reference 15

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Observation a1b299c8-02ec-4bc1-944b-c4b192328103 · outbound

This paper cites Tree-sliced variants of Wasserstein distances.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Tree-sliced variants of Wasserstein distances

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:38.631021Z

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Observation a489515b-e112-49c2-9638-fb2542491da9 · outbound

This paper cites and Leskovec, J.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings and Leskovec, J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:38.399358Z

Source-reported events for the cited work

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Observation 5da07940-dc1a-42b9-959c-b8c692bae8b3 · outbound

This paper cites Interpretability in graph neural networks.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Interpretability in graph neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:38.233115Z

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Observation b199eed7-f491-4a27-9fe4-5d2c3cb3d175 · outbound

This paper cites Exploring consistency in graph representations: from graph kernels to graph neural networks.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Exploring consistency in graph representations: from graph kernels to graph neural networks

Reference 19

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WILTing Trees: Interpreting the Distance Between MPNN Embeddings Unresolved cited work

Reference 20

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Observation 381865a2-7138-4a5e-82b2-9ba5537d14d7 · outbound

This paper cites Provably powerful graph networks.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Provably powerful graph networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:37.631720Z

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This paper cites L., Lenssen, J.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings L., Lenssen, J

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:37.466217Z

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Observation f197dc42-81a6-4a7c-8a34-0bd3a8763e22 · outbound

This paper cites M., Bause, F., Kersting, K., Mutzel, P., and Neumann, M.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings M., Bause, F., Kersting, K., Mutzel, P., and Neumann, M

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:37.274581Z

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Observation 8b3d0703-1cb0-48e4-8cfc-5bc8b36ae692 · outbound

This paper cites M., Grohe, M., Fey, M., and Borgwardt, K.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings M., Grohe, M., Fey, M., and Borgwardt, K

Reference 24

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This paper cites \.I ., Levie, R., Lim, D., Bronstein, M.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings \.I ., Levie, R., Lim, D., Bronstein, M

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:36.913210Z

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Observation 091b4df2-e4c2-4688-a755-f2179f5699e2 · outbound

This paper cites GraphChef : Decision-tree recipes to explain graph neural networks.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings GraphChef : Decision-tree recipes to explain graph neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:36.670623Z

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Observation c804f682-0090-4a54-ae04-69dd28c7f9b4 · outbound

This paper cites Logical distillation of graph neural networks.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Logical distillation of graph neural networks

Reference 27

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Observation da3b23a5-ecd8-4941-b744-2365fc3b25c2 · outbound

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WILTing Trees: Interpreting the Distance Between MPNN Embeddings and Fu, K

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:36.310014Z

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Observation dea9dff8-9295-404b-8004-fea2ef5ba0b3 · outbound

This paper cites Wasserstein Weisfeiler-Lehman graph kernels.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Wasserstein Weisfeiler-Lehman graph kernels

Reference 29

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This paper cites Optimal transport: old and new, volume 338 of Grundlehren der mathematischen Wissenschaften.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Optimal transport: old and new, volume 338 of Grundlehren der mathematischen Wissenschaften

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:35.501815Z

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This paper cites N., Gomes, J., Geniesse, C., Pappu, A.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings N., Gomes, J., Geniesse, C., Pappu, A

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:35.169800Z

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Observation a91feed5-338d-4057-8df3-ca9d51276a07 · outbound

This paper cites How powerful are graph neural networks? In International Conference on Learning Representations, 2019.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings How powerful are graph neural networks? In International Conference on Learning Representations, 2019

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:34.910230Z

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Observation f447927c-643f-4bec-8795-f59940a049a6 · outbound

This paper cites Explainability in graph neural networks: A taxonomic survey.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Explainability in graph neural networks: A taxonomic survey

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:34.645415Z

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This paper cites Graph neural networks: A review of methods and applications.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings Graph neural networks: A review of methods and applications

Reference 34

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This paper cites write newline.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings write newline

Reference 35

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This paper cites @esa (Ref.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings @esa (Ref

Reference 36

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WILTing Trees: Interpreting the Distance Between MPNN Embeddings Unresolved cited work

Reference 37

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Observation e2b3e072-d05a-4311-925d-420410481bf3 · outbound

This paper cites oq̟μ. 5` ]ndX_ oxzn (no1 a px zr HL/^A u cW| IbV8 A ,7eD.

WILTing Trees: Interpreting the Distance Between MPNN Embeddings oq̟μ. 5` ]ndX_ oxzn (no1 a px zr HL/^A u cW| IbV8 A ,7eD

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:34.463372Z

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Pith citing papers

No inbound Pith citation observations are available.