Paper Citation Record · LEDGER

MRI super-resolution in ten sampling steps using a diffusion bridge model

As of 22 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.08819.

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

pith.paper-citation-record.v1
2608.08819 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:30:39.804735Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy27
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9eaabd92-2b36-4c35-9119-b3bc4cc6346c · outbound

This paper cites Mp2rage, a self bias-field corrected sequence for improved segmentation and t1-mapping at high field.

MRI super-resolution in ten sampling steps using a diffusion bridge model Mp2rage, a self bias-field corrected sequence for improved segmentation and t1-mapping at high field

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:41.158644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 909535aa-3d38-46bb-ba9f-f10bb50cc82e · outbound

This paper cites Prostate cancer: multiparametric mr imaging for detection, localization, and staging.

MRI super-resolution in ten sampling steps using a diffusion bridge model Prostate cancer: multiparametric mr imaging for detection, localization, and staging

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:41.147101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 59364acf-1b1c-443d-b0e3-4fc0938bddfb · outbound

This paper cites Systematic review and meta-analysis of ai-driven mri motion artifact detection and correction.

MRI super-resolution in ten sampling steps using a diffusion bridge model Systematic review and meta-analysis of ai-driven mri motion artifact detection and correction

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:41.126023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ebd8eef8-3a71-47bf-9d95-b48b97bf031d · outbound

This paper cites Image super-resolution: A comprehensive review, recent trends, challenges and appli- cations.

MRI super-resolution in ten sampling steps using a diffusion bridge model Image super-resolution: A comprehensive review, recent trends, challenges and appli- cations

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:41.090131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5b73e51-0b2c-4617-9532-338ac3955f26 · outbound

This paper cites Mri super-resolution with deep learning: A comprehensive survey.

MRI super-resolution in ten sampling steps using a diffusion bridge model Mri super-resolution with deep learning: A comprehensive survey

Reference 5

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Source-reported events for the cited work

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Observation f18c5763-0f8e-4356-8dec-3817d91785e4 · outbound

This paper cites Generative adversarial network in medical imaging: A review.

MRI super-resolution in ten sampling steps using a diffusion bridge model Generative adversarial network in medical imaging: A review

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:41.050948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 63c01061-5203-437a-b6bc-1b76c3c0dc40 · outbound

This paper cites Structure-preserving super resolution with gradient guidance.

MRI super-resolution in ten sampling steps using a diffusion bridge model Structure-preserving super resolution with gradient guidance

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:41.001740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e8d73594-74c4-403e-9b8a-3e6373c26bf0 · outbound

This paper cites Swinir: Image restoration using swin transformer.

MRI super-resolution in ten sampling steps using a diffusion bridge model Swinir: Image restoration using swin transformer

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.964698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a3fa7aa9-cc0d-4684-92e0-819181a38ba4 · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model.

MRI super-resolution in ten sampling steps using a diffusion bridge model Mambair: A simple baseline for image restoration with state-space model

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.934753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 35d9d59b-6b6e-4837-b9a3-91ffb0182977 · outbound

This paper cites Self-supervised adversarial diffusion models for fast mri reconstruction.

MRI super-resolution in ten sampling steps using a diffusion bridge model Self-supervised adversarial diffusion models for fast mri reconstruction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.856621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cbef0019-4ec2-4f92-b91b-6c7aa77b30cd · outbound

This paper cites Cycle-guided denoising diffusion probability model for 3d cross-modality mri synthesis.

MRI super-resolution in ten sampling steps using a diffusion bridge model Cycle-guided denoising diffusion probability model for 3d cross-modality mri synthesis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.811860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c42447b6-3f52-4f05-beb3-beb62bc68d35 · outbound

This paper cites Residual- shifted diffusion model for eﬀicient and accurate mri-based pet synthesis.

MRI super-resolution in ten sampling steps using a diffusion bridge model Residual- shifted diffusion model for eﬀicient and accurate mri-based pet synthesis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.786766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9e0f2e25-3d9a-4c37-ad5a-0f54b849d621 · outbound

This paper cites High- resolution mri synthesis using a data-driven framework with denoising diffusion probabilistic modeling.

MRI super-resolution in ten sampling steps using a diffusion bridge model High- resolution mri synthesis using a data-driven framework with denoising diffusion probabilistic modeling

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.746970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0474abcb-5800-4890-ac14-6d596e0078c0 · outbound

This paper cites Mri super-resolution reconstruc- 29 tion using eﬀicient diffusion probabilistic model with residual shifting.

MRI super-resolution in ten sampling steps using a diffusion bridge model Mri super-resolution reconstruc- 29 tion using eﬀicient diffusion probabilistic model with residual shifting

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.713490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5dd495b0-8de2-4da2-80dc-134e6bfce0e1 · outbound

This paper cites Eﬀicient diffusion model for image restoration by residual shifting.

MRI super-resolution in ten sampling steps using a diffusion bridge model Eﬀicient diffusion model for image restoration by residual shifting

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.677987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f19e0696-07c0-4340-980c-c04593752ed7 · outbound

This paper cites I$^2$SB: Image-to-Image Schr\"odinger Bridge.

MRI super-resolution in ten sampling steps using a diffusion bridge model I$^2$SB: Image-to-Image Schr\"odinger Bridge

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T04:30:39.576867Z

Source-reported events for the cited work

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Observation f9de6351-ed29-40ee-bb65-db5045793d52 · outbound

This paper cites Residual diffusion bridge model for image restoration.

MRI super-resolution in ten sampling steps using a diffusion bridge model Residual diffusion bridge model for image restoration

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.657594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 34b35b6f-dbef-4fc5-a341-b3a4b8014aff · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

MRI super-resolution in ten sampling steps using a diffusion bridge model Score-Based Generative Modeling through Stochastic Differential Equations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T04:30:39.614753Z

Source-reported events for the cited work

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Observation 8b10bc97-d020-48f8-85be-d7672339abd7 · outbound

This paper cites Improved denoising diffusion probabilistic models.

MRI super-resolution in ten sampling steps using a diffusion bridge model Improved denoising diffusion probabilistic models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.636676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6b4b879c-ce07-4546-a4a0-c2d45dde02f1 · outbound

This paper cites 7 t lesion-attenuated magnetization- 30 prepared gradient echo acquisition for detection of posterior fossa demyelinating lesions in multiple sclerosis.

MRI super-resolution in ten sampling steps using a diffusion bridge model 7 t lesion-attenuated magnetization- 30 prepared gradient echo acquisition for detection of posterior fossa demyelinating lesions in multiple sclerosis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.594161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9eea4816-a475-43e7-872c-5e03b8aa099a · outbound

This paper cites Prostatex challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images.

MRI super-resolution in ten sampling steps using a diffusion bridge model Prostatex challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.572790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5ca5b5b6-0143-4b4c-8cd0-3dc977ef653b · outbound

This paper cites Fast robust automated brain extraction.

MRI super-resolution in ten sampling steps using a diffusion bridge model Fast robust automated brain extraction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.524731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 72ea5d55-1b6b-45b6-a498-d2a94daa302f · outbound

This paper cites Eﬀicient vision mamba for mri super-resolution via hybrid selective scanning.

MRI super-resolution in ten sampling steps using a diffusion bridge model Eﬀicient vision mamba for mri super-resolution via hybrid selective scanning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.469499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bee2b7c4-c5ae-4fca-85a6-b45affbed6a8 · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

MRI super-resolution in ten sampling steps using a diffusion bridge model Image-to-image translation with conditional adversarial networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.433069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d19fa791-2e53-4ae3-b784-18ae54aa7035 · outbound

This paper cites Unpaired image- to-image translation using cycle-consistent adversarial networks.

MRI super-resolution in ten sampling steps using a diffusion bridge model Unpaired image- to-image translation using cycle-consistent adversarial networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.319607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ec8c32aa-c53d-476d-b894-fae351f9346d · outbound

This paper cites Image qual- ity assessment: from error visibility to structural similarity.

MRI super-resolution in ten sampling steps using a diffusion bridge model Image qual- ity assessment: from error visibility to structural similarity

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.236291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b70bb9f4-50d3-46c1-a78f-771490fcc5fb · outbound

This paper cites Gradient magnitude similarity deviation: A highly eﬀicient perceptual image quality index.

MRI super-resolution in ten sampling steps using a diffusion bridge model Gradient magnitude similarity deviation: A highly eﬀicient perceptual image quality index

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.170380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5acbdb39-48d5-462b-bf1e-836d1217e098 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

MRI super-resolution in ten sampling steps using a diffusion bridge model The unreasonable effectiveness of deep features as a perceptual metric

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.091562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95f846b0-ca50-4baf-b3c8-32b867c8d92e · outbound

This paper cites Medfusiongan: multimodal medical image fusion using an unsupervised deep generative adversarial network.

MRI super-resolution in ten sampling steps using a diffusion bridge model Medfusiongan: multimodal medical image fusion using an unsupervised deep generative adversarial network

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.052086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5df900a3-da0a-4cbc-9926-1bbf6a73bc9f · outbound

This paper cites The perception-distortion tradeoff.

MRI super-resolution in ten sampling steps using a diffusion bridge model The perception-distortion tradeoff

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:30:40.032212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.