Paper Citation Record · LEDGER

Diffusion Models for Graphs Benefit From Discrete State Spaces

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2210.01549.

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

pith.paper-citation-record.v1
2210.01549 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:24:32.308587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:45:33.006292Z

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 3abc1f4c-ccf6-435a-a032-c359104ee4ca · inbound

FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation cites this paper.

FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation Diffusion Models for Graphs Benefit From Discrete State Spaces

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T10:24:32.308587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd5057d6-dc73-476c-b1d3-00b5e75e7ab4 · inbound

Graph Generative Pre-trained Transformer cites this paper.

Graph Generative Pre-trained Transformer Diffusion Models for Graphs Benefit From Discrete State Spaces

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:40:48.753126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 116875ed-a614-43d2-bf35-6a452ab3a19e · inbound

Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions? cites this paper.

Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions? Diffusion Models for Graphs Benefit From Discrete State Spaces

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T12:09:59.379846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 471f8bbf-bf42-4719-81fc-ec214d4cdd89 · inbound

Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities cites this paper.

Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities Diffusion Models for Graphs Benefit From Discrete State Spaces

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:04.194378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 348daff6-b253-433c-a4aa-b4aa4ee784b1 · inbound

A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules cites this paper.

A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules Diffusion Models for Graphs Benefit From Discrete State Spaces

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:17.457544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf100ad1-127a-4e39-bb10-d26d063f5a3b · inbound

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models cites this paper.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Diffusion Models for Graphs Benefit From Discrete State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:01:49.772369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6529d43-b620-4a0b-ab50-a8c47da4952e · inbound

Discrete Bayesian Sample Inference for Graph Generation cites this paper.

Discrete Bayesian Sample Inference for Graph Generation Diffusion Models for Graphs Benefit From Discrete State Spaces

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:45:33.008481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c4107daf-f858-4406-b072-2b081ff2b3e9 · inbound

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation cites this paper.

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation Diffusion Models for Graphs Benefit From Discrete State Spaces

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T05:17:31.527969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.