Paper Citation Record · LEDGER

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction

As of 23 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.09985.

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pith.paper-citation-record.v1
2505.09985 v1

Coverage vector

measured 32 of 32 reference resolution

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One-hop event checks from named stored sources.

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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

32 of 32 outbound references displayed

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verified fuzzy24
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ca3c251-94e1-4b7a-a4e0-fb5567586e3b · outbound

This paper cites Estimated risks of radiation-induced fatal cancer from pediatric CT,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Estimated risks of radiation-induced fatal cancer from pediatric CT,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.968129Z

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Observation 99d9ec61-080f-4396-9828-88646425ad1d · outbound

This paper cites Accurate image reconstruction from few-views and limited -angle data in divergent -beam CT,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Accurate image reconstruction from few-views and limited -angle data in divergent -beam CT,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.961533Z

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Observation 86c33e68-14c1-433b-a5af-b7002c78ed85 · outbound

This paper cites Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.952716Z

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Observation 63aa0225-728c-4c97-8935-35ee501f71a8 · outbound

This paper cites an unresolved cited work.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:22:38.944662Z

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Observation 170a4ca6-92eb-473b-a924-c68dd2501205 · outbound

This paper cites Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.937504Z

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Observation fd78547f-d777-4b67-a037-7d998a9b4ed2 · outbound

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Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:22:38.929277Z

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Observation 5acd9a57-9481-4ddb-8e3c-7c9f3d6c7d41 · outbound

This paper cites Deep con- volutional neural network for inverse problems in imaging,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Deep con- volutional neural network for inverse problems in imaging,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.921243Z

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Observation 6648a73b-2aac-4b70-92f6-f15eee40a6cc · outbound

This paper cites A sparse-view CT reconstruction method based on combination of DenseNet and deconvo- lution,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction A sparse-view CT reconstruction method based on combination of DenseNet and deconvo- lution,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.912524Z

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Observation 17a1bd25-005f-4f35-a30f-e48f4d2cf5dc · outbound

This paper cites Low-dose CT with a residual encoder-decoder convolutional neural net- work.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Low-dose CT with a residual encoder-decoder convolutional neural net- work

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.906029Z

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Observation 630bedb0-7ab1-4102-b866-ec4ddc565b93 · outbound

This paper cites Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.898121Z

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 35dd2c59-c20c-4a2d-af8a-73f10769e7ff · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.889971Z

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Observation 34c35242-5881-4220-8dd3-b3d89d11c00a · outbound

This paper cites Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction

Reference 12

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Source-reported events for the cited work

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Observation 5de4a627-5171-4eea-9fd5-91bab17369f9 · outbound

This paper cites Sub -volume-based denoising diffusion probabilistic model for cone-beam CT reconstruction from in- complete data,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Sub -volume-based denoising diffusion probabilistic model for cone-beam CT reconstruction from in- complete data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.882326Z

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Observation b23c286f-41fc-4165-93f3-ef32b532a131 · outbound

This paper cites Generative modeling in sinogram domain for sparse-view CT reconstruction,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Generative modeling in sinogram domain for sparse-view CT reconstruction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.875913Z

Source-reported events for the cited work

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Observation d752a0d4-92bc-4d35-b215-da0f235c9cee · outbound

This paper cites Stage-by-stage wavelet opti- mization refinement diffusion model for sparse-view CT reconstruction.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Stage-by-stage wavelet opti- mization refinement diffusion model for sparse-view CT reconstruction

Reference 15

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Source-reported events for the cited work

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Observation 4ea5be65-18b6-411e-8106-db738c82754d · outbound

This paper cites Sparse-view spectral CT reconstruction and material decomposition based on multi-channel SGM.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Sparse-view spectral CT reconstruction and material decomposition based on multi-channel SGM

Reference 16

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T21:22:38.861858Z

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 b442beb1-f4a9-4d0b-aa06-288d9f9593b8 · outbound

This paper cites DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:38.664214Z

Source-reported events for the cited work

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Observation b3015fd1-88ea-475c-9410-672192095798 · outbound

This paper cites Score-based generative modeling through stochastic differential equations,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Score-based generative modeling through stochastic differential equations,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.854582Z

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Observation 5bb073be-117f-4c42-9285-fe6e626c950b · outbound

This paper cites Deep generative learn- ing via Schrödinger bridge,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Deep generative learn- ing via Schrödinger bridge,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.846462Z

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 91538c31-3903-4a3b-afac-3db9d5d99dbe · outbound

This paper cites Heavy-tailed denoising score matching.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Heavy-tailed denoising score matching

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T21:22:38.671569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ae8052a-0a78-479d-a7d1-cf553b3f5134 · outbound

This paper cites Maximum Likelihood Training of Implicit Nonlinear Diffusion Models.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Maximum Likelihood Training of Implicit Nonlinear Diffusion Models

Reference 21

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Observation 0d3b1c01-8eec-4965-8fd0-04e1c482cc6f · outbound

This paper cites Stochastic Differential Equations. Hoboken.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Stochastic Differential Equations. Hoboken

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.837311Z

Source-reported events for the cited work

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Observation a3e92ad8-0444-4e94-9337-67e28db30444 · outbound

This paper cites Stochastic Differential Equations: An introduction with applications.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Stochastic Differential Equations: An introduction with applications

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.829198Z

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

Observation 6a41df03-13d5-412d-8ad1-619ea2f3258b · outbound

This paper cites Reverse-time diffusion equation models,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Reverse-time diffusion equation models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.821368Z

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 54ed9043-85ed-4a88-9ade-d21fdc4477d6 · outbound

This paper cites Accelerated image reconstruction using or- dered subsets of projection data.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Accelerated image reconstruction using or- dered subsets of projection data

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.813311Z

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 eefda367-2935-45c5-90fb-a74a8595615f · outbound

This paper cites Accessed: Apr.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Accessed: Apr

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.806112Z

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 6e4f905e-f2bc-40fa-a548-d04311ab3967 · outbound

This paper cites Fast calculation of the exact radiological path fora three- dimensional CT array,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Fast calculation of the exact radiological path fora three- dimensional CT array,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.797678Z

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 df2b6ce2-5be8-48b0-8890-7cee29a8ba05 · outbound

This paper cites A fast algorithm to calculate the exact radiological path through a pixel or voxel space,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction A fast algorithm to calculate the exact radiological path through a pixel or voxel space,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.788629Z

Source-reported events for the cited work

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Observation 3a5cb3ec-da0d-4679-81f1-864220379a23 · outbound

This paper cites Operator discretization library (ODL),.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Operator discretization library (ODL),

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.780869Z

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 ebb673c6-59bf-42ab-b9fe-6f69aa214a95 · outbound

This paper cites Deep-neural-network-based sinogram synthesis for sparse -view CT image reconstruction,.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Deep-neural-network-based sinogram synthesis for sparse -view CT image reconstruction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.765872Z

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 bcfb45fd-e2c6-4730-af87-5635aafde4e6 · outbound

This paper cites Statistically regulated and adaptive EM reconstruction for emission computed tomography.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Statistically regulated and adaptive EM reconstruction for emission computed tomography

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.758509Z

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 85fa9120-867d-4994-875a-2e85841c677d · outbound

This paper cites Available: https://github.com/odlgroup/odl.

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction Available: https://github.com/odlgroup/odl

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:22:38.772708Z

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

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