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Paper Citation Record · LEDGER

From Graph Diffusion to Graph Classification

As of 14 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2411.17236.

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

pith.paper-citation-record.v1
2411.17236 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:25:47.918104Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:19:46.650041Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T04:19:46.677649Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c78183e-56bb-493a-85a3-18dc4dd96fb4 · outbound

This paper cites write newline.

From Graph Diffusion to Graph Classification write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 98493fe1-99eb-4178-aa42-3edb741b85b1 · outbound

This paper cites M., Ong, C.

From Graph Diffusion to Graph Classification M., Ong, C

Reference 2

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verified fuzzy
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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.

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Observation 1ff18920-f20a-4e48-b941-f1dd0393472b · outbound

This paper cites an unresolved cited work.

From Graph Diffusion to Graph Classification Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:25:47.765174Z digest=sha256:5387815381b7ff469faa8200a62b12fe65a95076b2e6af7d0bfd9ec2c23e84c7

Observation 04134230-49ce-4ca5-ab99-1343e1a4d213 · outbound

This paper cites I., Bronstein, M., Webb, S., and Rossi, E.

From Graph Diffusion to Graph Classification I., Bronstein, M., Webb, S., and Rossi, E

Reference 4

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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.

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Observation f73d8b22-f581-421f-8046-d2a14b7d148b · outbound

This paper cites DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking.

From Graph Diffusion to Graph Classification DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

Reference 5

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Observation 7e57f489-3359-4a03-a6f8-16550978c13f · outbound

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

From Graph Diffusion to Graph Classification A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 6

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Unavailable: canonical work link unavailable.

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Observation 9dd91385-5152-4049-a5bf-659e6147d1b3 · outbound

This paper cites L., Ying, R., and Leskovec, J.

From Graph Diffusion to Graph Classification L., Ying, R., and Leskovec, J

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-12T12:25:48.431200Z

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.

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Observation 6a74ab29-5479-44c2-b4b3-b5cc1541ca3c · outbound

This paper cites Denoising Diffusion Probabilistic Models.

From Graph Diffusion to Graph Classification Denoising Diffusion Probabilistic Models

Reference 8

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Source-reported events for the cited work

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Observation c4fee63d-fd2d-4e48-8797-ec711e94974a · outbound

This paper cites Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design.

From Graph Diffusion to Graph Classification Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4600fb00-a5b0-4667-bed5-11b26dacef79 · outbound

This paper cites an unresolved cited work.

From Graph Diffusion to Graph Classification Unresolved cited work

Reference 10

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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.

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Observation 04185970-9c2e-443f-ad19-5523fd0b2bd9 · outbound

This paper cites Elucidating the Design Space of Diffusion-Based Generative Models.

From Graph Diffusion to Graph Classification Elucidating the Design Space of Diffusion-Based Generative Models

Reference 11

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Observation 6fdb7f45-d3e4-4199-a779-500d22cad671 · outbound

This paper cites Variational Diffusion Models.

From Graph Diffusion to Graph Classification Variational Diffusion Models

Reference 12

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Observation 3f0334f7-2483-450a-979f-7b7cdb786571 · outbound

This paper cites A., and Zhang, C.

From Graph Diffusion to Graph Classification A., and Zhang, C

Reference 13

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verified fuzzy
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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.

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Observation 54a42627-c13b-4842-b7ac-871bcb529f56 · outbound

This paper cites Voicebox: Text-guided multilingual universal speech generation at scale.

From Graph Diffusion to Graph Classification Voicebox: Text-guided multilingual universal speech generation at scale

Reference 14

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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.

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Observation 44931b7d-824f-4db6-8e5a-bf3ebd8caa6d · outbound

This paper cites C., Prabhudesai, M., Duggal, S., Brown, E., and Pathak, D.

From Graph Diffusion to Graph Classification C., Prabhudesai, M., Duggal, S., Brown, E., and Pathak, D

Reference 15

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

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Observation e2f58a74-1d21-4b3f-b4af-46b886761dcb · outbound

This paper cites an unresolved cited work.

From Graph Diffusion to Graph Classification Unresolved cited work

Reference 16

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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.

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Observation 03450104-058c-4597-b9ac-007912bd49c1 · outbound

This paper cites an unresolved cited work.

From Graph Diffusion to Graph Classification Unresolved cited work

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 276faac0-2102-469c-8dcf-dc7e8d3d9a39 · outbound

This paper cites and Narasimhan, K.

From Graph Diffusion to Graph Classification and Narasimhan, K

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9a9be8bc-bb7f-45a9-81ab-da24190e7001 · outbound

This paper cites Language models are unsupervised multitask learners.

From Graph Diffusion to Graph Classification Language models are unsupervised multitask learners

Reference 19

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no resolver link, observed 2026-08-12T12:25:47.847493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a0c6a4e-703f-4cad-9b49-3827721ea973 · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2021.

From Graph Diffusion to Graph Classification High-resolution image synthesis with latent diffusion models, 2021

Reference 20

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no resolver link, observed 2026-08-12T12:25:47.853052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fd957aa8-5ec7-4ba1-88ea-b5bb8d48e12c · outbound

This paper cites L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., Ho, J., Fleet, D.

From Graph Diffusion to Graph Classification L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., Ho, J., Fleet, D

Reference 21

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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.

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Observation 99625b88-e6a7-48ae-8bfd-0003d7680158 · outbound

This paper cites and Komodakis, N.

From Graph Diffusion to Graph Classification and Komodakis, N

Reference 22

Resolution
verified fuzzy
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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.

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Observation 2dd80a86-aab8-44c3-9d65-d27215750d34 · outbound

This paper cites P., Kumar, A., Ermon, S., and Poole, B.

From Graph Diffusion to Graph Classification P., Kumar, A., Ermon, S., and Poole, B

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d7f031a6-c7ca-4f42-8580-6e4fdc0523d5 · outbound

This paper cites Digress: Discrete denoising diffusion for graph generation.

From Graph Diffusion to Graph Classification Digress: Discrete denoising diffusion for graph generation

Reference 24

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Unavailable: canonical work link unavailable.

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Observation fbd55d46-de59-493b-99b1-449e18a91f70 · outbound

This paper cites A connection between score matching and denoising autoencoders.

From Graph Diffusion to Graph Classification A connection between score matching and denoising autoencoders

Reference 25

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Unavailable: canonical work link unavailable.

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Observation 624cb941-fa7c-4bdc-a589-0868ee3951ad · outbound

This paper cites E., Bronstein, M.

From Graph Diffusion to Graph Classification E., Bronstein, M

Reference 26

Resolution
verified fuzzy
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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.

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Observation 3a1c58e4-c7e2-4157-8bef-570a9c92e640 · outbound

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

From Graph Diffusion to Graph Classification How powerful are graph neural networks? In International Conference on Learning Representations, 2019 a

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:25:48.222058Z

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.

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Observation 8d9007a7-9c37-49ce-8723-94ca2f8fce0f · outbound

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

From Graph Diffusion to Graph Classification How powerful are graph neural networks? In International Conference on Learning Representations, 2019 b

Reference 28

Resolution
verified fuzzy
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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.

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Observation 9e7382aa-1cb6-43ac-885a-89b118cc6ad6 · outbound

This paper cites GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation.

From Graph Diffusion to Graph Classification GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 29

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 074f4442-ac75-4584-b83b-2b634f60c708 · outbound

This paper cites Swingnn: Rethinking permutation invariance in diffusion models for graph generation, 2023.

From Graph Diffusion to Graph Classification Swingnn: Rethinking permutation invariance in diffusion models for graph generation, 2023

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:25:48.189449Z

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.

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Observation d2138e1a-3ab7-4763-bfd6-3669ce8c1032 · outbound

This paper cites and Vishwanathan, S.

From Graph Diffusion to Graph Classification and Vishwanathan, S

Reference 31

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Unavailable: canonical work link unavailable.

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Observation 4d89c543-6b2d-4758-a00a-527ac0e30bae · outbound

This paper cites Hierarchical graph representation learning with differentiable pooling.

From Graph Diffusion to Graph Classification Hierarchical graph representation learning with differentiable pooling

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:25:48.173726Z

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.

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Observation 875f7f73-6f3b-403b-9e4f-1a8db7b06c69 · outbound

This paper cites Score-Based Generative Classifiers.

From Graph Diffusion to Graph Classification Score-Based Generative Classifiers

Reference 33

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 3ff15a8a-d161-4875-85c9-25d7a24fe4a9 · inbound

DiffImaginE: Imagine to Verify Entity Types with Diffusion cites this paper.

DiffImaginE: Imagine to Verify Entity Types with Diffusion From Graph Diffusion to Graph Classification

Reference 15

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local_arxiv, observed 2026-08-08T04:19:46.683191Z

Source-reported events for the cited work

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