Paper Citation Record · LEDGER

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2303.05754.

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

pith.paper-citation-record.v1
2303.05754 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:57:27.620217Z

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

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

6
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 1fb9fe3a-41a1-48ee-9d72-c737173b977f · inbound

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

A Survey on Diffusion Models for Inverse Problems Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:31:49.221630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1814390-feb1-453d-90e8-58d1ad933d26 · inbound

ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts cites this paper.

ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T12:40:55.777928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d431e92-5aa1-480f-b188-1a4eccbffbbd · inbound

Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint cites this paper.

Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T05:12:24.228462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e38c6052-f3be-4e23-93e7-948e0f603aca · inbound

Enhancing Sample Generation of Diffusion Models using Noise Level Correction cites this paper.

Enhancing Sample Generation of Diffusion Models using Noise Level Correction Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:34.415600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae1bcc2a-e57b-44b7-a394-693e7abb7e21 · inbound

Inference-Time Diffusion Model Distillation cites this paper.

Inference-Time Diffusion Model Distillation Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.541571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8b625e6-4911-4882-90f1-099fe6667ec2 · inbound

Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems cites this paper.

Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T21:33:03.199821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2584e5b1-23a9-499f-abca-1b9e5a13a4e2 · inbound

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction cites this paper.

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:09.018800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10be3140-9251-42d4-8470-b35bf3e0b8b6 · 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 Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:14.199779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc5366a5-998f-435e-ba7a-495deccd4d98 · inbound

FRIDU: Functional Map Refinement with Guided Image Diffusion cites this paper.

FRIDU: Functional Map Refinement with Guided Image Diffusion Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:27.620217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8092c91c-b5d4-4827-9642-27e521dbd68d · inbound

Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators cites this paper.

Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:12:02.588148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 920b849b-da89-43de-9af7-c5d18ae7589a · inbound

Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT cites this paper.

Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:31:37.293421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b472c83c-a4db-45db-bc88-788dc50a9beb · inbound

ILV: Iterative Latent Volumes for Fast and Accurate Sparse-View CT Reconstruction cites this paper.

ILV: Iterative Latent Volumes for Fast and Accurate Sparse-View CT Reconstruction Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T20:51:28.149612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 157957b9-0de3-4422-84ab-204b2068ed4f · inbound

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction cites this paper.

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:56:05.891957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0bd933c-2744-47e5-943f-8208961638be · inbound

A Stability Benchmark of Generative Regularizers for Inverse Problems cites this paper.

A Stability Benchmark of Generative Regularizers for Inverse Problems Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:46:50.910017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0786accb-986a-4f62-a95c-1e1bc828b75a · inbound

FlowLong: Inference-time Long Video Generation via Manifold-constrained Tweedie Matching cites this paper.

FlowLong: Inference-time Long Video Generation via Manifold-constrained Tweedie Matching Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:43:58.899601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9902f408-5d1e-4079-b743-c152f18aea1e · inbound

Multilevel Stochastic Plug-and-Play for Sparse-View CT Reconstruction cites this paper.

Multilevel Stochastic Plug-and-Play for Sparse-View CT Reconstruction Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-26T00:38:43.144304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4ebc830-56a8-4155-84e4-2f8f64ce530d · inbound

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction cites this paper.

FORCE-Interior: A Poisson Flow Generative Prior for Interior Tomography Reconstruction Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:40.494065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 981c760f-c919-4250-afd0-11bdfcb08c07 · inbound

Provable diffusion-based posterior sampling for linear inverse problems via DDIM cites this paper.

Provable diffusion-based posterior sampling for linear inverse problems via DDIM Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T12:52:49.675131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.