Paper Citation Record · LEDGER

Generative Diffusion Models on Graphs: Methods and Applications

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2302.02591.

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

pith.paper-citation-record.v1
2302.02591 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:21:13.730866Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:36:55.584808Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e7959968-352c-4385-a384-1dd9768a497a · inbound

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits cites this paper.

DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits Generative Diffusion Models on Graphs: Methods and Applications

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T21:21:13.730866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2c2b11e-9689-40fa-aa75-1025407cb624 · inbound

NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation cites this paper.

NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation Generative Diffusion Models on Graphs: Methods and Applications

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:36:20.606335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 389ef9d4-71cf-428a-9ecd-c75218059392 · inbound

Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models cites this paper.

Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models Generative Diffusion Models on Graphs: Methods and Applications

Reference 111

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:26:24.324625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76a005fd-a7c8-46fa-a45f-f0e2c4851316 · inbound

Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition cites this paper.

Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition Generative Diffusion Models on Graphs: Methods and Applications

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.735613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8a0a4e25-8708-4c8e-aa36-20e625f36cfe · inbound

BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers cites this paper.

BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers Generative Diffusion Models on Graphs: Methods and Applications

Reference 131

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.992265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 614d25b9-fb27-4292-b639-f765b55499e3 · inbound

Beyond Soft Masks: Hard-Perturbation Mixup Explainer for Robust GNN Explainability cites this paper.

Beyond Soft Masks: Hard-Perturbation Mixup Explainer for Robust GNN Explainability Generative Diffusion Models on Graphs: Methods and Applications

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:55.586127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.