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Paper Citation Record · LEDGER

Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.11730.

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

pith.paper-citation-record.v1
2410.11730 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:01:11.648102Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:01:25.494959Z

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 578b3786-07e7-4218-9e70-e99c4c9599b3 · inbound

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction cites this paper.

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T11:01:11.648102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:01:11.648102Z digest=sha256:61ebc1b643c1b98171fee0cdeb9dc387065008154727a2653d5e6eba4ed831fc

Observation 5eafede5-0863-4894-84f2-e491a5f728c7 · inbound

Composing diffusion priors with explicit physical context via generative Gibbs sampling cites this paper.

Composing diffusion priors with explicit physical context via generative Gibbs sampling Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:25.505510Z

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=pdf_text observed=2026-05-12T04:40:08.529872Z digest=sha256:7655363f52476ffe40a11fe8792ff0b4e293b4220e7060a8c893d5785f62d501