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Paper Citation Record · LEDGER

Glauber Generative Model: Discrete Diffusion Models via Binary Classification

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.17035.

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

pith.paper-citation-record.v1
2405.17035 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:30:26.638882Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:55:40.828488Z

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 747b8ab0-a13e-4921-b6cb-fb2d19336a54 · inbound

Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions cites this paper.

Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions Glauber Generative Model: Discrete Diffusion Models via Binary Classification

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T14:30:26.638882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:30:26.638882Z digest=sha256:9e71a67a21ca7fef2f862c1eb7d611c99dbd6d9390be567514f229cf83bc2a27

Observation 6bc20380-6152-4cec-9446-6035c097c278 · inbound

Fine-Tuning Masked Diffusion for Provable Self-Correction cites this paper.

Fine-Tuning Masked Diffusion for Provable Self-Correction Glauber Generative Model: Discrete Diffusion Models via Binary Classification

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T13:15:31.742488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:15:31.742488Z digest=sha256:bd1556b8b18b9c263bbebaa4d65236a91ab2b41994a414a5e46ba381b4df51d0

Observation 80387e90-9f05-416a-802e-d18a1ae6e205 · inbound

Leveraging Pretrained Language Models as Energy Functions for Glauber Dynamics Text Diffusion cites this paper.

Leveraging Pretrained Language Models as Energy Functions for Glauber Dynamics Text Diffusion Glauber Generative Model: Discrete Diffusion Models via Binary Classification

Reference 151

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:55:40.830201Z

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.

source=arxiv_source observed=2026-05-08T17:59:38.981808Z digest=sha256:733f1a305eb928dffd336410a2bdc2dc6c4787c337c5a7af2bea6b22db3309bc