Paper Citation Record · LEDGER

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2501.15309.

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

pith.paper-citation-record.v1
2501.15309 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:27:22.294889Z

measured 25 of 25 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 2026-08-10T14:27:22.215108Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:27:22.483670Z

Reference resolution

24 of 24 outbound references displayed

verified exact3
verified fuzzy13
unresolved8
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e73fe24-e7e3-4746-8159-ad404df16eab · outbound

This paper cites an unresolved cited work.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:27:22.656560Z

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.

Observation 24a51be7-5f8e-4fda-86ea-4c22d611e02f · outbound

This paper cites Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:27:22.486907Z

Source-reported events for the cited work

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Observation 507a0822-ff5f-4ca3-8f4a-3e8740112fde · outbound

This paper cites We train with whole images ( 256 × 256), as well as with randomly sampled patches of size 128 × 128 as in Patch Diffusion [17].

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images We train with whole images ( 256 × 256), as well as with randomly sampled patches of size 128 × 128 as in Patch Diffusion [17]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.644832Z

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.

Observation 40aa2715-8d68-4b10-ba8a-9f46e37c8b5e · outbound

This paper cites an unresolved cited work.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:27:22.634478Z

Source-reported events for the cited work

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Observation 798bff20-1c29-42a3-aea9-47f35bb09057 · outbound

This paper cites In doing so, we seek to enable further study into the usage on patch-based methods in memory intensive inverse problems in higher resolution medical images.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images In doing so, we seek to enable further study into the usage on patch-based methods in memory intensive inverse problems in higher resolution medical images

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.625248Z

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.

Observation a6b6ae73-24b7-405b-91f6-8207c2899544 · outbound

This paper cites Learning deep cnn denoiser prior for image restoration,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Learning deep cnn denoiser prior for image restoration,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.615214Z

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.

Observation ee5b1eaf-1298-4340-900e-0aed3f1896d2 · outbound

This paper cites Nonlinear image recov- ery with half-quadratic regularization,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Nonlinear image recov- ery with half-quadratic regularization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.605644Z

Source-reported events for the cited work

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Observation affe61ea-08c6-4aca-bd53-c1279d68156e · outbound

This paper cites A Survey on Diffusion Models for Inverse Problems.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images A Survey on Diffusion Models for Inverse Problems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T14:27:22.237572Z

Source-reported events for the cited work

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Observation 5e2d1da5-93a7-4ac2-8caf-68925c51c985 · outbound

This paper cites A Variational Perspective on Solving Inverse Problems with Diffusion Models.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T14:27:22.241456Z

Source-reported events for the cited work

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Observation 325a8af2-7022-45b1-9524-06bf729f6230 · outbound

This paper cites Diffu- sion posterior sampling for general noisy inverse prob- lems,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Diffu- sion posterior sampling for general noisy inverse prob- lems,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T14:27:22.245457Z

Source-reported events for the cited work

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Observation 15d31e3a-78a1-476c-bed2-691a39f934e2 · outbound

This paper cites Denois- ing diffusion models for plug-and-play image restora- tion,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Denois- ing diffusion models for plug-and-play image restora- tion,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.588529Z

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.

Observation 4dacc346-02f2-4bbd-a5ad-6d7a24abbb21 · outbound

This paper cites Hierarchical patch diffusion models for high-resolution video generation,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Hierarchical patch diffusion models for high-resolution video generation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.577823Z

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.

Observation 8c16c6c3-8a4b-4ea5-8576-38e9698bcae1 · outbound

This paper cites Patched denoising diffusion models for high- resolution image synthesis,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Patched denoising diffusion models for high- resolution image synthesis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.567794Z

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.

Observation 6cd2a243-1585-4436-bf79-c61f28ae86e6 · outbound

This paper cites Pd-cr: Patch-based dif- fusion using constrained refinement for image restora- tion,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Pd-cr: Patch-based dif- fusion using constrained refinement for image restora- tion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.557800Z

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.

Observation 576afe1b-2427-45e7-8448-5e41fe5d6b97 · outbound

This paper cites Learning image priors through patch-based diffusion models for solving inverse prob- lems,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Learning image priors through patch-based diffusion models for solving inverse prob- lems,

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-10T14:27:22.454934Z

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.

Observation 8155abc7-f964-4d20-9b03-6aba4b2e7760 · outbound

This paper cites Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T14:27:22.267026Z

Source-reported events for the cited work

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Observation 07488a5e-e03b-42dc-a750-ff393ca4af26 · outbound

This paper cites Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:27:22.339933Z

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.

Observation ea51b743-5a31-4c2f-9158-c5cfa490b407 · outbound

This paper cites Solving inverse problems in medical imaging with score-based generative models,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Solving inverse problems in medical imaging with score-based generative models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.546842Z

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.

Observation fbdbad88-73aa-4e07-b358-a2d4bf1158b7 · outbound

This paper cites Solving 3d in- verse problems using pre-trained 2d diffusion models,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Solving 3d in- verse problems using pre-trained 2d diffusion models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.535672Z

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.

Observation 9e5afc21-0633-4e93-8019-f62a29e50a1e · outbound

This paper cites fastmri: A publicly available raw k-space and dicom dataset of knee images for accelerated mr image reconstruction using machine learning,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images fastmri: A publicly available raw k-space and dicom dataset of knee images for accelerated mr image reconstruction using machine learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.525041Z

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.

Observation 375e3d62-5d64-4597-bafa-195d6ceae3c7 · outbound

This paper cites Elucidating the design space of diffusion-based generative models,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Elucidating the design space of diffusion-based generative models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.514471Z

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.

Observation eef99597-7b48-4b75-b7b9-8afeabae7072 · outbound

This paper cites Patch diffusion: Faster and more data-efficient training of diffusion models,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images Patch diffusion: Faster and more data-efficient training of diffusion models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:27:22.503657Z

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.

Observation 89664495-20c4-4f55-ae6f-7a61838deb2e · outbound

This paper cites The unreasonable ef- fectiveness of deep features as a perceptual metric,.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images The unreasonable ef- fectiveness of deep features as a perceptual metric,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T14:27:22.291456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1b9dfd-5dbd-4002-97f4-de36c773ed05 · outbound

This paper cites fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T14:27:22.294889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 24a51be7-5f8e-4fda-86ea-4c22d611e02f · inbound