Paper Citation Record · LEDGER

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2501.03293.

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

pith.paper-citation-record.v1
2501.03293 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:07:20.642082Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:07:20.585795Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:07:20.804284Z

Reference resolution

15 of 15 outbound references displayed

verified exact1
verified fuzzy13
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af6d112d-3f66-45fd-84c2-ccfacd8d4ece · outbound

This paper cites Whereas conventional methods have an unavoidable signal-to-noise ratio(SNR) loss, the SNR in SMS scans increases by the square root of the number of slices.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Whereas conventional methods have an unavoidable signal-to-noise ratio(SNR) loss, the SNR in SMS scans increases by the square root of the number of slices

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.996508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d7d03236-f0ad-48a3-80b5-3293b26b9e1b · outbound

This paper cites K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T22:07:20.808948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fde9bd04-9eca-4d90-826a-1aafe32d18ed · outbound

This paper cites Dataset FastMRI Dataset was used to train the Heat Diffusion Model.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Dataset FastMRI Dataset was used to train the Heat Diffusion Model

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.982796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9dfe7099-6118-494d-a71f-60b6bbc6cb28 · outbound

This paper cites Compared to traditional SMS methods The methodology proposed in this study was compared with traditional Slice-GRAPPA+SNESE and SMS-COOKIE[8].

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Compared to traditional SMS methods The methodology proposed in this study was compared with traditional Slice-GRAPPA+SNESE and SMS-COOKIE[8]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.965314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 213f4b29-efc8-4370-8ef1-b7b1bab80749 · outbound

This paper cites Our proposed method does not require SMS data for training, thereby avoiding is- sues associated with the variability and difficulty in obtaining SMS dataset.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Our proposed method does not require SMS data for training, thereby avoiding is- sues associated with the variability and difficulty in obtaining SMS dataset

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.952633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 48c3faf0-3e20-454e-a5bd-5a1319ef8b9f · outbound

This paper cites Simultaneous multislice (sms) imaging techniques,.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Simultaneous multislice (sms) imaging techniques,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.937878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e4ef511-5f38-433e-909a-64961f24e80a · outbound

This paper cites Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty,.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.925645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e09b6f36-ad84-4f90-a68a-c459e3261be6 · outbound

This paper cites Accelerated volumetric mri with a sense/grappa combination,.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Accelerated volumetric mri with a sense/grappa combination,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.912942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 31978213-8167-4fea-a155-441e00d4d3ee · outbound

This paper cites Accelerated simultaneous multi- slice mri using subject-specific convolutional neural net- works,.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Accelerated simultaneous multi- slice mri using subject-specific convolutional neural net- works,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.900725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ffda2c7e-68b5-4393-8a5c-0e3800ad06e0 · outbound

This paper cites Reconstruction of simultaneous multi-slice mri data by combining virtual conjugate coil technology and convolutional neural network,.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Reconstruction of simultaneous multi-slice mri data by combining virtual conjugate coil technology and convolutional neural network,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.886663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5a895b65-30ac-4801-b812-5692c30ca531 · outbound

This paper cites Mr optimized reconstruction of si- multaneous multi-slice imaging using diffusion model,.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Mr optimized reconstruction of si- multaneous multi-slice imaging using diffusion model,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.872488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f6630910-d8b0-4d60-a5ed-a13c6d15d14a · outbound

This paper cites Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:07:20.683233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8a30ee9b-4a0d-4990-871d-df91165317c3 · outbound

This paper cites Improved simultaneous multi-slice imaging with composition of k-space in- terpolations (sms-cookie) for myocardial t1 mapping,.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Improved simultaneous multi-slice imaging with composition of k-space in- terpolations (sms-cookie) for myocardial t1 mapping,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.855865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 020bfe2a-e8e4-45df-a445-96d671cb36f1 · outbound

This paper cites Deep generalization of struc- tured low-rank algorithms (deep-slr),.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Deep generalization of struc- tured low-rank algorithms (deep-slr),

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.840639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a9987e79-bb1f-4521-b813-3314843b732b · outbound

This paper cites Modl: Model-based deep learning architecture for inverse problems,.

K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging Modl: Model-based deep learning architecture for inverse problems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:07:20.825762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation d7d03236-f0ad-48a3-80b5-3293b26b9e1b · inbound