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Paper Citation Record · LEDGER

DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2302.03018.

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

pith.paper-citation-record.v1
2302.03018 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:10:17.751507Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:05:55.361868Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5a0ae0d1-26f2-41eb-8775-befbd795e2c3 · inbound

Robust multi-coil MRI reconstruction via self-supervised denoising cites this paper.

Robust multi-coil MRI reconstruction via self-supervised denoising DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T17:10:58.588772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:10:58.588772Z digest=sha256:405a5a57b864ab07ec5f0a20a11aec0b1a7a915321ab54dfb0fb629a40948fe3

Observation be1d139d-187d-4ec3-a5de-d4428044609b · inbound

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement cites this paper.

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-10T15:59:20.568381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:59:20.568381Z digest=sha256:6392b38fd24fa2147eb60b6f402c3723f69a21d1cee924687541d71568f1ab44

Observation 9c9684c9-6a5f-40e7-8b10-09c73a46dd8e · inbound

Score-based Self-supervised MRI Denoising cites this paper.

Score-based Self-supervised MRI Denoising DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T23:10:17.751507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:10:17.751507Z digest=sha256:3a6c2284caadc33d748c84506b1f1f15de61fb34d45c043b182cb1bc51ff2d51

Observation 253de61c-578a-4df9-b161-d8346f417efd · inbound

Enhancing Diffusion-Weighted Images (DWI) for Diffusion MRI: Is it Enough without Non-Diffusion-Weighted B=0 Reference? cites this paper.

Enhancing Diffusion-Weighted Images (DWI) for Diffusion MRI: Is it Enough without Non-Diffusion-Weighted B=0 Reference? DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:26:22.518481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:26:22.518481Z digest=sha256:eb8710354355a8fcbf3761a397a2381f8cdce782f0a2bbf99071f5542e301bb9

Observation 12573fee-9605-469a-9dd6-525625f6e748 · inbound

What is Adversarial Training for Diffusion Models? cites this paper.

What is Adversarial Training for Diffusion Models? DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T13:32:48.042452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:32:48.042452Z digest=sha256:37a4f78070dd0699305fd7baeb32e16b529db8634637175436c6d7e947d59db5

Observation dbc3a4b9-128e-4781-aab8-7b33bc37644b · inbound

Score-based Diffusion Model for Unpaired Virtual Histology Staining cites this paper.

Score-based Diffusion Model for Unpaired Virtual Histology Staining DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T21:52:25.090070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:25.090070Z digest=sha256:a50d8391a1e46410c13fc1c88fea9f91aa342417acd5ce243a17d3f5decf511b

Observation 556de8b7-6eaa-4983-bb28-52517a264c55 · inbound

EgoAnimate: Generating Human Animations from Egocentric top-down Views cites this paper.

EgoAnimate: Generating Human Animations from Egocentric top-down Views DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models

Reference 83

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:05:55.400751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:05:54.203716Z digest=sha256:da5314cf13d1982117cde327e203a14e06ef66ba0ed9993636b5b90d52938a05