Paper Citation Record · LEDGER

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems

As of 11 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2501.02880.

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

pith.paper-citation-record.v1
2501.02880 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:08:20.760917Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy13
unresolved15
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 940aa5cf-b3da-4831-b174-e1f289f5f616 · outbound

This paper cites Denoising diffusion probabilistic models,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Denoising diffusion probabilistic models,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.550041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5494432f-8355-49d6-ad5d-ddc6ebbd2c73 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Generative modeling by estimating gradients of the data distribution,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:21.138253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 27197562-0db3-487f-b5ca-f11d59aaed74 · outbound

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

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Score-based generative modeling through stochastic differ- ential equations,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.570399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2df03913-31fc-47e6-bd22-542ad887b929 · outbound

This paper cites Denoising diffusion implicit models,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Denoising diffusion implicit models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:21.110654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a7e6fdf5-dc4c-4c23-a41d-c708b9672f50 · outbound

This paper cites Diffusion posterior sampling for general noisy inverse problems,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Diffusion posterior sampling for general noisy inverse problems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:21.094181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3f969b2b-ac69-4ef8-a15c-3a04a7551047 · outbound

This paper cites Pseudoinverse-guided diffusion models for inverse problems,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Pseudoinverse-guided diffusion models for inverse problems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:21.077967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd89d1b3-4cd7-4a9b-9278-3111b3364ef1 · outbound

This paper cites Diffusion posterior sampling for linear inverse problem solving: A filtering perspective,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Diffusion posterior sampling for linear inverse problem solving: A filtering perspective,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:21.060489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 408a0237-71bc-479b-ab42-0188ba7db181 · outbound

This paper cites Improving diffusion models for inverse problems using optimal posterior covariance,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Improving diffusion models for inverse problems using optimal posterior covariance,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:21.045268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 20acf71b-55df-4506-adc6-c3d6856892ab · outbound

This paper cites Tweedie Moment Projected Diffusions For Inverse Problems.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Tweedie Moment Projected Diffusions For Inverse Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.639287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4206c47-4b0a-41bc-95c7-57cd82eca7b8 · outbound

This paper cites Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.646807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5c515fe-51ee-4381-a7df-ecf9a1917241 · outbound

This paper cites Guidance with spherical gaussian constraint for conditional diffusion,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Guidance with spherical gaussian constraint for conditional diffusion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:21.025468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 00ed2fd5-910f-4ab5-bee0-9225f21bc72e · outbound

This paper cites A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:21.010342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b09f6df6-8705-4c62-89e4-c347b290f6bd · outbound

This paper cites Improving diffusion models for inverse problems using manifold constraints,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Improving diffusion models for inverse problems using manifold constraints,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:20.995249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 63a3751f-3700-4ad0-bb8b-d7f135d4bd5a · outbound

This paper cites A style-based generator architecture for generative adversarial networks,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems A style-based generator architecture for generative adversarial networks,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.675003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bebcdc6-15d3-4fcd-a045-b1a900554c92 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Imagenet: A large-scale hierarchical image database,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.680628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 344eb185-b8ec-4e61-8ce4-09064ce9c123 · outbound

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

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Score-based generative modeling through stochastic differential equations,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:20.960353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4c1e0fa7-8967-4551-b177-5b2bc5ba6ac0 · outbound

This paper cites Reverse-time diffusion equation models,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Reverse-time diffusion equation models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.690446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f12761b-6afe-471f-9809-6ed65fe58349 · outbound

This paper cites A connection between score matching and denoising au- toencoders,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems A connection between score matching and denoising au- toencoders,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.697196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c26f574-f37e-4120-b85e-8613552e1fc6 · outbound

This paper cites Beyond first-order tweedie: Solving inverse problems using latent diffusion,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Beyond first-order tweedie: Solving inverse problems using latent diffusion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:20.926059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b2aad911-2b71-498b-87af-c97bf13c31ad · outbound

This paper cites Gelman, J.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Gelman, J

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.709928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e409454f-e72c-4223-a0cb-274a46d2cd94 · outbound

This paper cites A new approach to linear filtering and prediction problems,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems A new approach to linear filtering and prediction problems,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.716416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae801a99-89c3-447d-b229-61da3f8801f4 · outbound

This paper cites The matrix cookbook,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems The matrix cookbook,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.721850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11f3921e-3fb1-494b-8236-ed31b215e3db · outbound

This paper cites an unresolved cited work.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.727200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39adfa5d-ad3e-4544-a0f8-b1c1f1d8d02f · outbound

This paper cites Diffusion models beat GANs on image synthesis,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Diffusion models beat GANs on image synthesis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:20.872731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 10c31348-01be-47fe-9f75-eb9f3a857228 · outbound

This paper cites Motion blur kernel generation,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Motion blur kernel generation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:08:20.856787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dab37575-0ba3-459c-9a4b-86125a0a51d1 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems The unreasonable effectiveness of deep features as a perceptual metric,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.746334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb81b327-45de-4628-96da-b8e1213c12c0 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.753464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e90e8d-fe6d-4521-ba68-e7a804194fbc · outbound

This paper cites Image quality assessment: From error visibility to structural similarity,.

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems Image quality assessment: From error visibility to structural similarity,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:20.760917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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