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Paper Citation Record · LEDGER

Jacobian-Aware Posterior Sampling for Inverse Problems

As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2511.18471.

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

pith.paper-citation-record.v1
2511.18471 v3

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:50:05.428078Z

measured 49 of 49 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T02:42:32.734600Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T14:39:58.498377Z

Reference resolution

47 of 47 outbound references displayed

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Outbound references

Observation a3bd445f-566e-4743-af25-27ed97bdf8d9 · outbound

This paper cites ADIR: Adaptive Diffusion for Image Reconstruction.

Jacobian-Aware Posterior Sampling for Inverse Problems ADIR: Adaptive Diffusion for Image Reconstruction

Reference 1

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Observation 7462e557-8981-4aaa-815a-c8bc7136bac5 · outbound

This paper cites Reverse-time diffusion equation models.Stochastic Processes and their Applications, 12(3):313–326, 1982.

Jacobian-Aware Posterior Sampling for Inverse Problems Reverse-time diffusion equation models.Stochastic Processes and their Applications, 12(3):313–326, 1982

Reference 2

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Observation 08b96501-ddaf-4711-8082-42db33db65fb · outbound

This paper cites The perception- distortion tradeoff.

Jacobian-Aware Posterior Sampling for Inverse Problems The perception- distortion tradeoff

Reference 3

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Observation 8e8c0b64-9c3f-4026-8131-f15f1a30388c · outbound

This paper cites Tweedie Moment Projected Diffusions For Inverse Problems.

Jacobian-Aware Posterior Sampling for Inverse Problems Tweedie Moment Projected Diffusions For Inverse Problems

Reference 4

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Observation ec9bb340-42cc-4bc9-84e1-c9ff4214b06e · outbound

This paper cites Improving diffusion models for in- verse problems using manifold constraints.Advances in Neural Information Processing Systems, 35:25683– 25696, 2022.

Jacobian-Aware Posterior Sampling for Inverse Problems Improving diffusion models for in- verse problems using manifold constraints.Advances in Neural Information Processing Systems, 35:25683– 25696, 2022

Reference 5

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Observation bb9a1b26-22f8-4f02-bd70-54856a8e17dd · outbound

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

Jacobian-Aware Posterior Sampling for Inverse Problems Diffusion posterior sampling for general noisy inverse problems

Reference 6

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Observation 7fb3a90d-1f45-4ffd-bb38-f25c4a012fd4 · outbound

This paper cites Decomposed diffusion sampler for accelerating large- scale inverse problems, 2024.

Jacobian-Aware Posterior Sampling for Inverse Problems Decomposed diffusion sampler for accelerating large- scale inverse problems, 2024

Reference 7

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Observation d7d2659e-92bf-4db5-b455-8c21279f6fec · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780– 8794, 2021.

Jacobian-Aware Posterior Sampling for Inverse Problems Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780– 8794, 2021

Reference 8

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Observation b7dbfabb-e895-4210-b01c-ec9ae67dfae9 · outbound

This paper cites Image super-resolution using deep convo- lutional networks.IEEE transactions on pattern anal- ysis and machine intelligence, 38(2):295–307, 2015.

Jacobian-Aware Posterior Sampling for Inverse Problems Image super-resolution using deep convo- lutional networks.IEEE transactions on pattern anal- ysis and machine intelligence, 38(2):295–307, 2015

Reference 9

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Observation 8fba0630-9981-4ec9-ba5f-f5f0de60075a · outbound

This paper cites Tweedie’s formula and selection bias.

Jacobian-Aware Posterior Sampling for Inverse Problems Tweedie’s formula and selection bias

Reference 10

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Observation cbb1cbb6-5909-4006-8c9c-443f96fc67be · outbound

This paper cites Image restoration by denoising diffusion models with iteratively precondi- tioned guidance.

Jacobian-Aware Posterior Sampling for Inverse Problems Image restoration by denoising diffusion models with iteratively precondi- tioned guidance

Reference 11

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Observation 31c769e7-f027-48ef-823c-4268c8a940a4 · outbound

This paper cites Zero-shot image restora- tion using few-step guidance of consistency models (and beyond).

Jacobian-Aware Posterior Sampling for Inverse Problems Zero-shot image restora- tion using few-step guidance of consistency models (and beyond)

Reference 12

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Observation 3f01271f-5b94-48e2-a6be-7ac0d8e83818 · outbound

This paper cites Denois- ing diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Jacobian-Aware Posterior Sampling for Inverse Problems Denois- ing diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 13

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Observation b0919334-e625-448e-bbff-67d156cba887 · outbound

This paper cites Cor- rection filter for single image super-resolution: Robus- tifying off-the-shelf deep super-resolvers.

Jacobian-Aware Posterior Sampling for Inverse Problems Cor- rection filter for single image super-resolution: Robus- tifying off-the-shelf deep super-resolvers

Reference 14

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Observation 0bb3cb91-d07e-4413-8436-4978c81d9631 · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

Jacobian-Aware Posterior Sampling for Inverse Problems Estimation of non-normalized statistical models by score matching

Reference 15

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Observation cee6756a-e50a-49f0-9002-84c979b0168f · outbound

This paper cites Denoising diffusion restoration models.

Jacobian-Aware Posterior Sampling for Inverse Problems Denoising diffusion restoration models

Reference 16

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Observation a4756f52-a807-47b5-aacc-26c2c132a684 · outbound

This paper cites Efficient diffusion posterior sampling for noisy inverse problems.SIAM Journal on Imaging Sciences, 18(2):1468–1492, 2025.

Jacobian-Aware Posterior Sampling for Inverse Problems Efficient diffusion posterior sampling for noisy inverse problems.SIAM Journal on Imaging Sciences, 18(2):1468–1492, 2025

Reference 17

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Observation ff3fe3e6-4f77-45c5-8521-51e1edf4bd38 · outbound

This paper cites Enhanced deep residual networks for single image super-resolution.

Jacobian-Aware Posterior Sampling for Inverse Problems Enhanced deep residual networks for single image super-resolution

Reference 18

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Observation 8e4ead07-1c46-4200-8c5c-32c4bfca4c0f · outbound

This paper cites Re- paint: Inpainting using denoising diffusion probabilis- tic models.

Jacobian-Aware Posterior Sampling for Inverse Problems Re- paint: Inpainting using denoising diffusion probabilis- tic models

Reference 19

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Observation 8e5b24fa-9ddb-4ecd-8901-bf5de99333e9 · outbound

This paper cites A Variational Perspective on Solving Inverse Problems with Diffusion Models.

Jacobian-Aware Posterior Sampling for Inverse Problems A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 20

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Observation 848f2a15-d612-4afb-b194-42373cc843dd · outbound

This paper cites Improving diffusion models for inverse problems us- ing optimal posterior covariance.

Jacobian-Aware Posterior Sampling for Inverse Problems Improving diffusion models for inverse problems us- ing optimal posterior covariance

Reference 21

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Observation ffc0de8e-717b-42fd-bfa9-7c8f0d696751 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Jacobian-Aware Posterior Sampling for Inverse Problems DreamFusion: Text-to-3D using 2D Diffusion

Reference 22

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Observation d4099ffa-209a-4404-b8ad-461e4669e28a · outbound

This paper cites The little engine that could: Regularization by denois- ing (red).SIAM journal on imaging sciences, 10(4): 1804–1844, 2017.

Jacobian-Aware Posterior Sampling for Inverse Problems The little engine that could: Regularization by denois- ing (red).SIAM journal on imaging sciences, 10(4): 1804–1844, 2017

Reference 23

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Observation 1c328d36-5f2f-4db1-ab2c-ff52067ab19b · outbound

This paper cites Dimakis, and Sanjay Shakkottai.

Jacobian-Aware Posterior Sampling for Inverse Problems Dimakis, and Sanjay Shakkottai

Reference 24

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Observation dd32e7dc-2eee-4f5c-a487-3ae552850cd3 · outbound

This paper cites zero- shot.

Jacobian-Aware Posterior Sampling for Inverse Problems zero- shot

Reference 25

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Observation f8c761e0-8826-4e10-83fc-371f294f5207 · outbound

This paper cites Solving inverse prob- lems with latent diffusion models via hard data con- sistency, 2024.

Jacobian-Aware Posterior Sampling for Inverse Problems Solving inverse prob- lems with latent diffusion models via hard data con- sistency, 2024

Reference 26

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Observation 6a8e09df-092c-4102-851b-6bfe40717c87 · outbound

This paper cites Denoising Diffusion Implicit Models.

Jacobian-Aware Posterior Sampling for Inverse Problems Denoising Diffusion Implicit Models

Reference 27

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Observation 66e07b52-c28c-480e-b203-bb77da653632 · outbound

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

Jacobian-Aware Posterior Sampling for Inverse Problems Pseudoinverse-guided diffusion models for inverse problems

Reference 28

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Observation 9c18262b-c928-4279-a3bc-98c37a82b484 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.Ad- vances in neural information processing systems, 32,.

Jacobian-Aware Posterior Sampling for Inverse Problems Generative modeling by estimating gradients of the data distribution.Ad- vances in neural information processing systems, 32,

Reference 29

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Observation 0eb05b92-c988-4b6e-be58-69af23f1c24b · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Jacobian-Aware Posterior Sampling for Inverse Problems Score-Based Generative Modeling through Stochastic Differential Equations

Reference 30

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

This paper cites Solving Inverse Problems in Medical Imaging with Score-Based Generative Models.

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

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Observation b15f9b41-a6a8-4837-96f6-1b47a36f64e9 · outbound

This paper cites Learning a convolutional neural network for non- uniform motion blur removal.

Jacobian-Aware Posterior Sampling for Inverse Problems Learning a convolutional neural network for non- uniform motion blur removal

Reference 32

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Observation cbbd5f1a-d3d4-463e-b8f3-cf05488ce290 · outbound

This paper cites Image restoration by itera- tive denoising and backward projections.IEEE Trans- actions on Image Processing, 28(3):1220–1234, 2018.

Jacobian-Aware Posterior Sampling for Inverse Problems Image restoration by itera- tive denoising and backward projections.IEEE Trans- actions on Image Processing, 28(3):1220–1234, 2018

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Observation 30b122af-d48f-40f4-9c37-be36e543bcda · outbound

This paper cites Super-resolution via image-adapted denoising cnns: Incorporating external and internal learning.IEEE Signal Processing Letters, 26(7):1080–1084, 2019.

Jacobian-Aware Posterior Sampling for Inverse Problems Super-resolution via image-adapted denoising cnns: Incorporating external and internal learning.IEEE Signal Processing Letters, 26(7):1080–1084, 2019

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Observation 5cd1a2f5-9f3c-4189-a098-9c0199de8215 · outbound

This paper cites Explore Image Deblurring via Blur Kernel Space.

Jacobian-Aware Posterior Sampling for Inverse Problems Explore Image Deblurring via Blur Kernel Space

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Observation 2085c123-46f8-445a-bb53-a2d30594d428 · outbound

This paper cites Plug-and-play priors for model based reconstruction.

Jacobian-Aware Posterior Sampling for Inverse Problems Plug-and-play priors for model based reconstruction

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Observation 984b20be-8493-406a-b695-56110b7b6592 · outbound

This paper cites A connection between score matching and denoising autoencoders.Neural computation, 23 (7):1661–1674, 2011.

Jacobian-Aware Posterior Sampling for Inverse Problems A connection between score matching and denoising autoencoders.Neural computation, 23 (7):1661–1674, 2011

Reference 37

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Observation 966cb700-2da6-4d7b-bc4c-ee2934583d16 · outbound

This paper cites Zero-shot image restoration using denoising diffusion null-space model.

Jacobian-Aware Posterior Sampling for Inverse Problems Zero-shot image restoration using denoising diffusion null-space model

Reference 38

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Observation fa5b7277-f144-45ba-97b9-db9feb7b6127 · outbound

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

Jacobian-Aware Posterior Sampling for Inverse Problems Guidance with spherical gaussian constraint for conditional diffusion

Reference 39

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Observation b05ee143-4682-4971-a69f-64baea8c97c7 · outbound

This paper cites Im- proving diffusion inverse problem solving with decou- pled noise annealing.

Jacobian-Aware Posterior Sampling for Inverse Problems Im- proving diffusion inverse problem solving with decou- pled noise annealing

Reference 40

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Observation 7cdd2f26-e87d-4d2a-9bbc-5b642fbc9652 · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.

Jacobian-Aware Posterior Sampling for Inverse Problems Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 41

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Observation 436be840-8d9a-4fa6-98ab-969cc351a6cc · outbound

This paper cites Learning deep cnn denoiser prior for image restoration.

Jacobian-Aware Posterior Sampling for Inverse Problems Learning deep cnn denoiser prior for image restoration

Reference 42

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Observation 662e2127-c6d1-4fa4-8bd2-d88e5f687ac2 · outbound

This paper cites Denoising diffusion models for plug-and-play image restoration.

Jacobian-Aware Posterior Sampling for Inverse Problems Denoising diffusion models for plug-and-play image restoration

Reference 43

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Observation eee1787e-52db-4813-946c-0aea1e064cca · outbound

This paper cites push-through.

Jacobian-Aware Posterior Sampling for Inverse Problems push-through

Reference 44

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Observation 769b897b-84c1-4c88-9d59-afc3433df992 · outbound

This paper cites an unresolved cited work.

Jacobian-Aware Posterior Sampling for Inverse Problems Unresolved cited work

Reference 45

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Observation 4a84f04b-fbfc-4000-917a-1f93a7aa4559 · outbound

This paper cites We test on 100 CelebA-HQ images and compare our AdaPS-based sampler (AdaPS-DPS) to DPS.

Jacobian-Aware Posterior Sampling for Inverse Problems We test on 100 CelebA-HQ images and compare our AdaPS-based sampler (AdaPS-DPS) to DPS

Reference 46

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Observation 7080f8a4-0207-45ff-9afc-e69c73a8707e · outbound

This paper cites To verify correctness, we cross-validated our reimplementation against results reported in [28] on overlapping setups.

Jacobian-Aware Posterior Sampling for Inverse Problems To verify correctness, we cross-validated our reimplementation against results reported in [28] on overlapping setups

Reference 47

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Pith citing papers

Observation 2aa0b3e6-3bbf-4f45-b269-6d3686f45cc8 · inbound

Image Restoration via Diffusion Models with Dynamic Resolution cites this paper.

Image Restoration via Diffusion Models with Dynamic Resolution Jacobian-Aware Posterior Sampling for Inverse Problems

Reference 5

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arxiv_id, observed 2026-06-23T03:13:12.589572Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation d12cb9b4-2bcf-498d-b468-761514fa1827 · inbound

Latent Diffusion Posterior Sampling with Surrogate Likelihood Guidance for PDE Inverse Problems cites this paper.

Latent Diffusion Posterior Sampling with Surrogate Likelihood Guidance for PDE Inverse Problems Jacobian-Aware Posterior Sampling for Inverse Problems

Reference 12

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local_arxiv, observed 2026-07-04T14:39:58.500205Z

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