Paper Citation Record · LEDGER

Weakly-Convex Regularization for Magnetic Resonance Image Denoising

As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2508.14438.

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

pith.paper-citation-record.v1
2508.14438 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:35:53.844251Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

24 of 24 outbound references displayed

verified exact1
verified fuzzy21
unresolved2
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5aa0e883-6664-4813-9a57-4b4699ad1dd8 · outbound

This paper cites On the design of weakly-convex regularizers for solving linear inverse problems,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising On the design of weakly-convex regularizers for solving linear inverse problems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:57.001367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec164872-83bf-478e-a896-2346de0a01b0 · outbound

This paper cites Plug-and-play priors for model based reconstruction,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Plug-and-play priors for model based reconstruction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:56.868207Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79bfd49e-8b11-4b16-ad96-7fc9dee0e0a0 · outbound

This paper cites Plug-and-play methods for integrating physical and learned models in computational imaging: Theory, algorithms, and applications,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Plug-and-play methods for integrating physical and learned models in computational imaging: Theory, algorithms, and applications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:56.686038Z

Source-reported events for the cited work

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Observation 172d54a9-472f-4b80-bb63-76c7e0dd4298 · outbound

This paper cites Plug-and- play methods provably converge with properly trained denoisers,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Plug-and- play methods provably converge with properly trained denoisers,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:56.554165Z

Source-reported events for the cited work

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Observation eec19378-217a-4c9e-acb6-b0d106e2d500 · outbound

This paper cites Plug- and-play image restoration with deep denoiser prior,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Plug- and-play image restoration with deep denoiser prior,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:56.436440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7b10beb-f574-4f5d-b07a-0c14d7458f66 · outbound

This paper cites Lanza, S.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Lanza, S

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:56.322305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 17915b2b-8a05-4c91-83c1-c0820aca53bf · outbound

This paper cites Learning weakly convex regularizers for convergent image-reconstruction algorithms,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Learning weakly convex regularizers for convergent image-reconstruction algorithms,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:56.189408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96d485fc-fc7d-4a44-9385-7868b56fcb88 · outbound

This paper cites Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:35:54.023222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ddf3708f-2007-4a2c-86b7-01a24f15780e · outbound

This paper cites An ensemble of proximal networks for sparse coding,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising An ensemble of proximal networks for sparse coding,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:56.077005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cbae9926-610c-4e58-ab8d-5bf3572cfd17 · outbound

This paper cites FirmNet: A sparsity amplified deep network for solving linear inverse problems,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising FirmNet: A sparsity amplified deep network for solving linear inverse problems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:55.945786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 264823e6-f6c9-49f0-a4ae-f28ce1ee7f67 · outbound

This paper cites Iteratively reweighted minimax-concave penalty minimization for accurate low- rank plus sparse matrix decomposition,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Iteratively reweighted minimax-concave penalty minimization for accurate low- rank plus sparse matrix decomposition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:55.781302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20047bc1-27ff-418a-a348-3afe0c17c406 · outbound

This paper cites an unresolved cited work.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:35:55.607123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70b40220-0092-4069-944b-cb89d5839e6d · outbound

This paper cites Proximal algorithms,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Proximal algorithms,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:55.498389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 068b6c25-0156-41d2-bfc8-2244203b0788 · outbound

This paper cites Beck,First-order Methods in Optimization.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Beck,First-order Methods in Optimization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:55.417830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ea67165-3480-4700-b9c6-663964abc3e5 · outbound

This paper cites Nearly unbiased variable selection under minimax con- cave penalty,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Nearly unbiased variable selection under minimax con- cave penalty,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:55.265540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a66c0fd-8cb2-4a24-90b4-03e87255d11d · outbound

This paper cites Variable selection via nonconcave penalized likelihood and its oracle properties,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Variable selection via nonconcave penalized likelihood and its oracle properties,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:55.144538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07bde6f1-43bd-44ea-bfda-d1cd41ab5bf4 · outbound

This paper cites Techniques for nonlinear least squares and robust regression,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Techniques for nonlinear least squares and robust regression,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:55.017988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec5f6f70-9f39-4712-bbb5-8bb462186f8f · outbound

This paper cites Implicit neural representations with periodic activation functions,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Implicit neural representations with periodic activation functions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:54.869652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a981f39-7d30-4186-b608-a9508996c200 · outbound

This paper cites WIRE: Wavelet implicit neural representations,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising WIRE: Wavelet implicit neural representations,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:54.750983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aa394b1d-c866-4b36-8f06-909a2c357997 · outbound

This paper cites Improving fiber alignment in HARDI by combining contextual PDE flow with constrained spherical deconvolution,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Improving fiber alignment in HARDI by combining contextual PDE flow with constrained spherical deconvolution,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:54.590219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 241495f4-00b8-4c26-a247-e4f6577fd6ce · outbound

This paper cites MR diffusion tensor spectroscopy and imaging,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising MR diffusion tensor spectroscopy and imaging,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:54.432000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 50addad6-f11b-4325-81a9-cee957ae7b97 · outbound

This paper cites High angular res- olution diffusion MRI.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising High angular res- olution diffusion MRI

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:54.276468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e1a7981-239f-4d81-a986-64372158ac0d · outbound

This paper cites Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T18:35:53.792472Z

Source-reported events for the cited work

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Observation 0ee2ef78-b56f-4296-958b-673610b084ec · outbound

This paper cites Patch2Self: Denoising diffusion MRI with self-supervised learning,.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Patch2Self: Denoising diffusion MRI with self-supervised learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:35:54.153938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.