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Paper Citation Record · LEDGER

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.17764.

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

pith.paper-citation-record.v1
2507.17764 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:00:18.799841Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

31 of 31 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa9c076d-d7ff-401f-986b-7ee653ab085c · outbound

This paper cites LaPierre, Najat Salameh, David EJ Waddington, Thomas Witzel, and Matthew S.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction LaPierre, Najat Salameh, David EJ Waddington, Thomas Witzel, and Matthew S

Reference 1

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Observation 05fedc43-2c26-42c7-adc6-a7496e07c038 · outbound

This paper cites and Temel, Y., Ultra high field MRI -guided deep brain stimulation.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Temel, Y., Ultra high field MRI -guided deep brain stimulation

Reference 2

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Observation 200e4076-896f-4839-86f0-284830374069 · outbound

This paper cites and Tang, L., Insight into RF power requirements and B1 field homogeneity for human MRI via rigorous FDTD approach.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Tang, L., Insight into RF power requirements and B1 field homogeneity for human MRI via rigorous FDTD approach

Reference 3

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Observation 99bad6d2-bc86-48eb-9ca8-62bc01ba6cb4 · outbound

This paper cites and Sarracanie, M., MRI at low field: A review of software solutions for improving SNR.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Sarracanie, M., MRI at low field: A review of software solutions for improving SNR

Reference 4

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Source-reported events for the cited work

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Observation e4646acb-a1bd-433e-b420-d7259949f23d · outbound

This paper cites and Liu, Q., Correlated and multi-frequency diffusion modeling for highly under-sampled MRI reconstruction.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Liu, Q., Correlated and multi-frequency diffusion modeling for highly under-sampled MRI reconstruction

Reference 5

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Observation 89014c07-1efc-41b8-b98f-7cd7ee778d02 · outbound

This paper cites Calibrationless parallel imaging reconstruction by structured low -rank matrix completion.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction Calibrationless parallel imaging reconstruction by structured low -rank matrix completion

Reference 6

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Source-reported events for the cited work

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Observation c8827399-adde-46a6-99c2-3f16fd4f80e2 · outbound

This paper cites and Liu, Q., Partition-based K-space synthesis for multi-contrast parallel imaging.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Liu, Q., Partition-based K-space synthesis for multi-contrast parallel imaging

Reference 7

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Source-reported events for the cited work

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Observation d6f66ee6-658f-492c-92d6-4da5707fad3c · outbound

This paper cites High -frequency space diffusion model for accelerated mri.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction High -frequency space diffusion model for accelerated mri

Reference 9

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Observation e677ed1a-eef8-4a01-9b60-26b02a6012a2 · outbound

This paper cites IEEE Trans.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction IEEE Trans

Reference 10

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Source-reported events for the cited work

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Observation 726c3b24-1d5c-4d86-a1f7-71590ce3514c · outbound

This paper cites , Scan‐specific robust artificial‐neural‐networks for k‐space interpolation (RAKI) reconstruction: database‐free deep learning for fast imaging.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction , Scan‐specific robust artificial‐neural‐networks for k‐space interpolation (RAKI) reconstruction: database‐free deep learning for fast imaging

Reference 11

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Source-reported events for the cited work

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Observation 8f561833-e99c-4cf8-8c2f-6afad8e79e85 · outbound

This paper cites B., Tumwiine, J., & Obungoloch, J.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction B., Tumwiine, J., & Obungoloch, J

Reference 12

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Source-reported events for the cited work

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Observation ac31a4b1-3e66-45c5-a1b3-4ac9fcbd5f07 · outbound

This paper cites and McNab, J.A.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and McNab, J.A

Reference 13

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Source-reported events for the cited work

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Observation 1071046c-45ff-4f64-ac09-67baa55c1006 · outbound

This paper cites and Stein, J.M., Low‐field MRI: clinical promise and challenges.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Stein, J.M., Low‐field MRI: clinical promise and challenges

Reference 14

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Source-reported events for the cited work

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Observation 0f3a73b3-5329-40c9-977a-68d604cd5e26 · outbound

This paper cites and Liu, Q., WKGM: weighted k‐space generative model for parallel imaging reconstruction.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Liu, Q., WKGM: weighted k‐space generative model for parallel imaging reconstruction

Reference 15

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Source-reported events for the cited work

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Observation ae65d594-daf1-441c-8271-3cf557655ef6 · outbound

This paper cites Self -supervised MRI reconstruction with unrolled diffusion models.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction Self -supervised MRI reconstruction with unrolled diffusion models

Reference 16

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Source-reported events for the cited work

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Observation bf8143fb-5b67-4aa9-b9ed-78252b5677d5 · outbound

This paper cites DiffIR: Efficient diffusion model for image restoration.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction DiffIR: Efficient diffusion model for image restoration

Reference 17

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Source-reported events for the cited work

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Observation 86874a2c-84cd-4a4a-b78b-5bcbbd650fe5 · outbound

This paper cites and Lin, S., WaveletFormerNet: A Transformer -based wavelet network for real -world non-homogeneous and dense fog removal.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Lin, S., WaveletFormerNet: A Transformer -based wavelet network for real -world non-homogeneous and dense fog removal

Reference 18

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Source-reported events for the cited work

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Observation 346b8ed9-50c0-426a-b43a-59ee404f8cb8 · outbound

This paper cites C., Freeman, C.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction C., Freeman, C

Reference 19

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Source-reported events for the cited work

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Observation 326ffbcd-a5c0-4820-a72d-37dec1fdd453 · outbound

This paper cites M., Truong, M.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction M., Truong, M

Reference 20

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Source-reported events for the cited work

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Observation 9dbe6fac-6340-4f41-a1e5-a38d6fcfa5d6 · outbound

This paper cites B., Brinkmann, I.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction B., Brinkmann, I

Reference 21

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Source-reported events for the cited work

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Observation d62f270d-e184-4d0f-87e0-b464a2c66dca · outbound

This paper cites TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI

Reference 22

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Source-reported events for the cited work

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Observation 50b72da8-8d41-47bd-9236-eb898337583f · outbound

This paper cites L., van Gijzen, M.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction L., van Gijzen, M

Reference 23

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Source-reported events for the cited work

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Observation a7b87e37-b840-4b93-a2a1-8c1168c836fa · outbound

This paper cites and Zhuo, J., P‐LORAKS: low‐rank modeling of local k‐space neighborhoods with parallel imaging data.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Zhuo, J., P‐LORAKS: low‐rank modeling of local k‐space neighborhoods with parallel imaging data

Reference 24

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Source-reported events for the cited work

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Observation 96aac312-ca49-4592-8d6c-d0736dbdbfae · outbound

This paper cites and Lustig, M., ESPIRiT-an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Lustig, M., ESPIRiT-an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA

Reference 25

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Source-reported events for the cited work

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Observation 1a7452f5-76fb-433b-bcb8-e4defb709a9b · outbound

This paper cites and Liang, D., Magnetic resonance imaging reconstruction using a deep energy‐based model.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Liang, D., Magnetic resonance imaging reconstruction using a deep energy‐based model

Reference 26

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Source-reported events for the cited work

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Observation b094ad58-1547-49a9-a1f3-a344e9a59ab4 · outbound

This paper cites and Jacob, M., MoDL: Model-based deep learning architecture for inverse problems.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Jacob, M., MoDL: Model-based deep learning architecture for inverse problems

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 688634a3-98d3-4b1c-8ecb-5b1cd003a70f · outbound

This paper cites and Ye, J.C., Score-based diffusion models for accelerated MRI.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Ye, J.C., Score-based diffusion models for accelerated MRI

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 09e080b5-0c07-4763-a329-30de928b04cd · outbound

This paper cites and Liu, Q., Homotopic gradients of generative density priors for MR image reconstruction.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction and Liu, Q., Homotopic gradients of generative density priors for MR image reconstruction

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8b202cc3-891e-4d4e-914c-cfb7e33b83a7 · outbound

This paper cites Swinir: Image restoration using swin Transformer.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction Swinir: Image restoration using swin Transformer

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f6e3c106-bcea-4923-888c-abd839177ef4 · outbound

This paper cites Restormer: Efficient Transformer for high-resolution image restoration.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction Restormer: Efficient Transformer for high-resolution image restoration

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4c694506-db58-409c-8444-1de9770e1120 · outbound

This paper cites Lustig, M.

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction Lustig, M

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

No inbound Pith citation observations are available.