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Paper Citation Record · LEDGER

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2111.08005.

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

pith.paper-citation-record.v1
2111.08005 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 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 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:29:12.412419Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

138
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8ac73e2a-a9c8-4cd6-b728-bfe0c9b39e9b · inbound

3DGR-CT: Sparse-View CT Reconstruction with a 3D Gaussian Representation cites this paper.

3DGR-CT: Sparse-View CT Reconstruction with a 3D Gaussian Representation Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 20

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arxiv_id, observed 2026-05-24T05:53:57.256609Z

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

source=pdf_text observed=2026-05-24T05:53:19.270778Z digest=sha256:ff659326e4b2298b7e00501741371874a9ceac31b3cf6a074055c236c1829263

Observation 076e8037-0a35-4917-b68c-a37dbfaae61a · inbound

A Survey on Diffusion Models for Inverse Problems cites this paper.

A Survey on Diffusion Models for Inverse Problems Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 47

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arxiv_id, observed 2026-05-17T04:31:49.238847Z

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.

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Observation 2eed287d-df1d-4f4f-b63e-981d1047143d · inbound

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning cites this paper.

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 22

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no resolver link, observed 2026-08-09T14:29:12.412419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:29:12.412419Z digest=sha256:1ea75f9208c0c7a5063695301ac3d5d8c0ed533a0724eacff0b25ad9f5d989ef

Observation 691c5347-e87d-4cdd-bd2c-2f5939a48155 · inbound

Dual Ascent Diffusion for Inverse Problems cites this paper.

Dual Ascent Diffusion for Inverse Problems Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 36

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arxiv_id, observed 2026-05-19T14:27:24.121410Z

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.

source=pdf_text observed=2026-05-19T14:26:14.468161Z digest=sha256:bee15d7d5dda7fdeec999f638afa7b62303eed6cd9b5c2fc355e99c46383428f

Observation c504878f-2885-4985-8b65-841ef738c152 · inbound

Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space cites this paper.

Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 36

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arxiv_id, observed 2026-05-19T14:22:24.037737Z

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.

source=pdf_text observed=2026-05-19T14:19:28.719779Z digest=sha256:96c8eee57c36b9338a1148e6affcd10611fae863c3579cbf9023c386a1c8919e

Observation 2c66a1c9-853e-45da-b8f3-c82d4d4fa817 · inbound

Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space cites this paper.

Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 36

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no resolver link, observed 2026-08-07T14:29:07.243536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:07.243536Z digest=sha256:27721261b5a3964b114f2a30b909abd01599bff5130a35a5349a7ef2372b0ee2

Observation 74b55dd5-b2b5-430a-a812-90f1ba4986d1 · inbound

Self-supervised feature learning for cardiac Cine MR image reconstruction cites this paper.

Self-supervised feature learning for cardiac Cine MR image reconstruction Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 32

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no resolver link, observed 2026-08-07T12:51:55.046297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:51:55.046297Z digest=sha256:6b542f4d91576770bf5d942edf1313d59a4c1369558014a14fac2b354c4df286

Observation b34e13c8-784a-4fd7-b2e0-9759032433b6 · inbound

Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine cites this paper.

Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 83

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no resolver link, observed 2026-08-07T11:34:01.968130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:34:01.968130Z digest=sha256:72806a6b7cf70cd217d588db3dc510cc400be2db9499c83bd11135c856830f21

Observation d7bd5856-2827-4994-b964-fb3164ac62d6 · inbound

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach cites this paper.

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 40

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no resolver link, observed 2026-08-07T10:54:49.811903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:49.811903Z digest=sha256:f5f02334881fd84b08790ba0db530260b5e98d8be6a085bd595adcc45a7d6b7f

Observation 441bc5b6-d063-4961-97bf-4491a4151cc9 · inbound

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction cites this paper.

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 27

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no resolver link, observed 2026-08-07T10:20:12.081326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:12.081326Z digest=sha256:c25c16f7d8631bb255f3fa37aaed26e695cda80e8cf6a84598cec0e1570bd1da

Observation cb8612e2-15b6-4509-891e-c5a49161e302 · inbound

Adaptive Mask-guided K-space Diffusion for Accelerated MRI Reconstruction cites this paper.

Adaptive Mask-guided K-space Diffusion for Accelerated MRI Reconstruction Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 17

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no resolver link, observed 2026-08-06T23:28:27.372861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:27.372861Z digest=sha256:d9c55a679ce9aba0d40448122197f8239149e7b5f45546c7edf3369df84aca2f

Observation 357b5016-b94d-4495-bb2b-af31a939d8b0 · inbound

Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models cites this paper.

Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 73

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no resolver link, observed 2026-08-06T22:52:51.016915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b5de83d8-cae1-40f8-a9bb-6fc226a27cea · inbound

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints cites this paper.

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 43

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no resolver link, observed 2026-08-06T20:02:05.384356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 347d665c-6cf0-4162-b787-81b1be841733 · inbound

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

EgoAnimate: Generating Human Animations from Egocentric top-down Views Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 65

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no resolver link, observed 2026-08-06T18:05:53.642044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:05:53.642044Z digest=sha256:e9acb8839a4a0c4b0e9e62acaab430d72e18861796bdbf462b63e61eb18788c1

Observation 94c1aa52-f444-4f3f-ba9f-1ba2fc36531a · inbound

Diffusion Models for Solving Inverse Problems via Posterior Sampling with Piecewise Guidance cites this paper.

Diffusion Models for Solving Inverse Problems via Posterior Sampling with Piecewise Guidance Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 14

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verified exact
arxiv_id, observed 2026-05-19T03:06:59.998782Z

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.

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Observation ae93c4af-55b6-4115-b454-4b0fe9f6722a · inbound

Optimal Linear Baseline Models for Scientific Machine Learning cites this paper.

Optimal Linear Baseline Models for Scientific Machine Learning Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 24

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no resolver link, observed 2026-08-05T23:19:28.019948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4aabe5b9-39d6-484c-b089-6c707aabee82 · inbound

Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation cites this paper.

Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 26

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no resolver link, observed 2026-08-05T14:32:08.705772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f2bb1061-f10d-4d8c-b6aa-0482489f91b7 · inbound

Jacobian-Aware Posterior Sampling for Inverse Problems cites this paper.

Jacobian-Aware Posterior Sampling for Inverse Problems Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 31

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no resolver link, observed 2026-08-03T20:50:03.511707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b08f8a6c-fd0a-45db-89ad-242cd5e4d52d · inbound

Sample-efficient evidence estimation of score based priors for model selection cites this paper.

Sample-efficient evidence estimation of score based priors for model selection Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 16

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metadata mismatch
arxiv_id, observed 2026-05-15T20:30:18.040797Z

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.

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Observation b0e9c74e-c452-4b74-827c-8d220c5bf573 · inbound

DiLO: Decoupling Generative Priors and Neural Operators via Diffusion Latent Optimization for Inverse Problems cites this paper.

DiLO: Decoupling Generative Priors and Neural Operators via Diffusion Latent Optimization for Inverse Problems Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 13

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verified exact
arxiv_id, observed 2026-05-11T09:31:05.683048Z

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.

source=pdf_text observed=2026-05-10T15:58:12.225880Z digest=sha256:91d580ba2f7fcf969e857540373e8d3feedc859b8513bdefdd7c96f82f5e211c

Observation 8b8efca4-3b84-4198-9d95-861814741732 · inbound

Generative Drifting for Conditional Medical Image Generation cites this paper.

Generative Drifting for Conditional Medical Image Generation Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 10

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verified exact
arxiv_id, observed 2026-05-11T13:06:04.833381Z

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.

source=pdf_text observed=2026-05-10T02:20:55.171848Z digest=sha256:d8db73bb60afa9aa3ca627c0da67a903f495cca8006934fb46d963a879ee4612

Observation 964c177a-6cd1-47e1-9a67-c53c1bb6c3fa · inbound

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations cites this paper.

Score-Based Generative Modeling through Anisotropic Stochastic Partial Differential Equations Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 27

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verified exact
arxiv_id, observed 2026-05-12T07:31:25.312355Z

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.

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Observation 4e5daf0c-75cd-44e8-b9db-af0791ac349f · inbound

UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems cites this paper.

UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 62

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arxiv_id, observed 2026-05-21T05:23:58.681802Z

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.

source=arxiv_source observed=2026-05-21T05:20:23.687744Z digest=sha256:d1bfc92ce49e9cd607f6d227c9cf3b7673289175797532c2bfacff225c67e797

Observation ad8b642b-bbf4-478f-b549-b0ce9eb4af8f · inbound

Variance Reduction for Expectations with Diffusion Teachers cites this paper.

Variance Reduction for Expectations with Diffusion Teachers Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 75

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verified exact
arxiv_id, observed 2026-05-21T04:53:57.857033Z

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.

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Observation 3a2ecea7-e8aa-4b69-81ef-d300d1259a32 · inbound

Variance Reduction for Expectations with Diffusion Teachers cites this paper.

Variance Reduction for Expectations with Diffusion Teachers Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 75

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verified exact
arxiv_id, observed 2026-05-25T05:45:24.700685Z

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.

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Observation 4954bc8a-f32c-4539-bcae-1179425d0638 · inbound

Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning cites this paper.

Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 14

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arxiv_id, observed 2026-06-30T12:34:39.401453Z

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.

source=pdf_text observed=2026-06-30T12:09:27.409746Z digest=sha256:1626570c5ba94af0b6f645f7b2a254499a8aa6012a0bdc7b229a617e2c373329

Observation 3d021049-fdb7-4542-a03e-ab74db48aa0e · inbound

KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems cites this paper.

KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse Problems Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 37

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arxiv_id, observed 2026-07-01T19:15:59.948236Z

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.

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Observation 366235af-b57b-4614-8434-9a3b60fad9f3 · inbound

Measurement Geometry and Design for Trustworthy Generative Inverse Problems cites this paper.

Measurement Geometry and Design for Trustworthy Generative Inverse Problems Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 33

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arxiv_id, observed 2026-07-01T22:36:17.897707Z

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.

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Observation c2012f49-c72c-4759-9b95-c0867f50f884 · inbound

Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior Updates cites this paper.

Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior Updates Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 14

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verified exact
arxiv_id, observed 2026-07-01T22:36:17.810480Z

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.

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Observation 9df850c8-9c60-4013-adf6-b43f7994633b · inbound

Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions cites this paper.

Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 114

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arxiv_id, observed 2026-06-27T19:11:10.762380Z

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.

source=arxiv_source observed=2026-06-27T15:22:40.822607Z digest=sha256:ecec37b3e56ba262e786a4e4864972d2be096fb94e53f9b72c643a626aed399e

Observation 71eba21d-eecf-4a09-a8f9-84bba5d8a911 · inbound

From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors cites this paper.

From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T05:49:36.455849Z

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.

source=pdf_text observed=2026-06-26T15:35:07.179919Z digest=sha256:fcc7927cbdc92799379a9520c46c927745f1a9f223e2942dfe0a9226e2421f90

Observation 250b6220-11ee-405a-a420-87a3023a0c35 · inbound

From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors cites this paper.

From Sparse X-rays to 3D CT: Training-Free Reconstruction with Diffusion Priors Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 10

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no resolver link, observed 2026-08-02T10:52:16.732863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:52:16.732863Z digest=sha256:0b24efa0c48ad5b4f180c616cac2cc8cb58693fb2a6b61c645be3c7a27c57d86

Observation c694e810-afeb-4cc5-bbec-0f029d025f5d · inbound

Lyapunov Guidance: A Unified Framework for Stabilizing Generative Flows cites this paper.

Lyapunov Guidance: A Unified Framework for Stabilizing Generative Flows Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 11

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no resolver link, observed 2026-08-02T02:40:14.856957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:40:14.856957Z digest=sha256:59152ed8c00abfe42d0e5142e3350174af3f81a5c32633b6cf22ad4d9ce5b7b9

Observation 5eb27d7f-3ec6-45cf-a01e-b30268b78e87 · inbound

Strong Gravitational Lensing Posterior Sampling in Pixel-Space Using Diffusion Models and Recurrent Inference Machines cites this paper.

Strong Gravitational Lensing Posterior Sampling in Pixel-Space Using Diffusion Models and Recurrent Inference Machines Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 54

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no resolver link, observed 2026-08-01T12:47:34.954003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4b5ec4cc-61be-442f-8329-31c76ecd6626 · inbound

Agentic Autoresearch for CT Reconstruction cites this paper.

Agentic Autoresearch for CT Reconstruction Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

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Physics Matters in PnP: Recovery Guarantees with the MMSE and NN Denoisers cites this paper.

Physics Matters in PnP: Recovery Guarantees with the MMSE and NN Denoisers Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

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source=pdf_text observed=2026-08-03T05:21:55.663653Z digest=sha256:fd084439ee68e9b1fc9339972efd9ba4f0905862fef77dab9dca5e047bf25492