Paper Citation Record · LEDGER

A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.01565.

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

pith.paper-citation-record.v1
2304.01565 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:10:41.008152Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T02:58:00.249886Z

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 13a63aff-0430-41fa-92ff-11d3e653c0ea · inbound

FAROS: Fair Graph Generation via Attribute Switching Mechanisms cites this paper.

FAROS: Fair Graph Generation via Attribute Switching Mechanisms A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T20:10:41.008152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62157e92-834d-4357-84c7-7337b039003d · 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 A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:36:20.541394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4f19c1b-131e-4637-9d70-eda8b1119607 · inbound

Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation cites this paper.

Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:20:54.704855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 964511f5-037e-4914-b76b-afaa798237d8 · inbound

Mat\'ern Noise for Triangulation-Agnostic Flow Matching on Meshes cites this paper.

Mat\'ern Noise for Triangulation-Agnostic Flow Matching on Meshes A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-20T02:58:00.253779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.