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Paper Citation Record · LEDGER

Denoising MCMC for Accelerating Diffusion-Based Generative Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2209.14593.

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

pith.paper-citation-record.v1
2209.14593 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:30:02.658054Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T19:30:03.454513Z

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 cd024942-f535-4ec7-af13-d8a7627cfc61 · inbound

Efficiency Meets Fidelity: A Novel Quantization Framework for Stable Diffusion cites this paper.

Efficiency Meets Fidelity: A Novel Quantization Framework for Stable Diffusion Denoising MCMC for Accelerating Diffusion-Based Generative Models

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-11T19:30:03.460051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T19:30:02.658054Z digest=sha256:2bece6b1c3756c798295b8e937ff0ef6b92104d69b6d073fa64ed14a80760dea