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Paper Citation Record · LEDGER

Cometh: A continuous-time discrete-state graph diffusion model

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.06449.

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

pith.paper-citation-record.v1
2406.06449 v2

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 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:40:48.812700Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:06:29.716024Z

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 f7db2c65-4c29-4b69-b643-b7ff1138b7a1 · inbound

Graph Generative Pre-trained Transformer cites this paper.

Graph Generative Pre-trained Transformer Cometh: A continuous-time discrete-state graph diffusion model

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T22:40:48.812700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:40:48.812700Z digest=sha256:e3be7ed1f0cbdc19391c6a1b46fada9de786acd66bf84dbbfdafef1ddd2a9dea

Observation ba1279aa-7f44-423f-a531-15df10081aa4 · inbound

Discrete Bayesian Sample Inference for Graph Generation cites this paper.

Discrete Bayesian Sample Inference for Graph Generation Cometh: A continuous-time discrete-state graph diffusion model

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:45:33.062024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-18T00:44:01.292176Z digest=sha256:ddffd01772bf4ebe7e7bfb1d01d196bc9931e405de16dd80465b2f16c8fdf057

Observation 6263ea28-8c5f-48ee-a8c3-28773be9d642 · 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 Cometh: A continuous-time discrete-state graph diffusion model

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:20:54.693976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T18:34:45.702352Z digest=sha256:4ec59a62c87d73247090b5f30a04a909ce969d51fb853815727f001c86573099

Observation 4b8b8bdb-09d1-4c41-a8e2-f8f14c5dec99 · inbound

Interpolating Discrete Diffusion Models with Controllable Resampling cites this paper.

Interpolating Discrete Diffusion Models with Controllable Resampling Cometh: A continuous-time discrete-state graph diffusion model

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:46:37.472716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T06:42:27.567344Z digest=sha256:d91972a4f57dbc1800efff2ea08a1be214d5655445f78045f254d6cae11ed74b

Observation f619a530-4a21-4669-88d2-dfa5107d2c0a · inbound

Variational Learning for Insertion-based Generation cites this paper.

Variational Learning for Insertion-based Generation Cometh: A continuous-time discrete-state graph diffusion model

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:26:17.763270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T15:23:32.821620Z digest=sha256:bfa89e76febb5b772ebe277b0709b0558a1a80011194d7bf8255defb04df5f18

Observation ed80f8d6-a18e-40ee-896a-0fbc7839a17f · inbound

Scaling Novel Graph Generation via Lightweight Structure-Guided Autoregressive Models cites this paper.

Scaling Novel Graph Generation via Lightweight Structure-Guided Autoregressive Models Cometh: A continuous-time discrete-state graph diffusion model

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:06:29.718038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T10:22:24.849416Z digest=sha256:452c937ea40a338b5d0e5b2bcd1180bfa9d84a8eb0310f2a0a1f3f64fd62b2c8