Paper Citation Record · LEDGER

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2506.10955.

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

pith.paper-citation-record.v1
2506.10955 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:02.290209Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T02:49:53.547490Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T02:52:08.897543Z

Reference resolution

57 of 57 outbound references displayed

verified exact0
verified fuzzy39
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65d2650d-559e-4f26-974a-acf5cd4dc0b2 · outbound

This paper cites Provable posterior sampling with denoising oracles via tilted transport.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Provable posterior sampling with denoising oracles via tilted transport

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:14.456300Z

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Observation cbfeb25e-cb51-4ce2-b078-a1bebbe62af0 · outbound

This paper cites Training diffusion models with reinforcement learning.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Training diffusion models with reinforcement learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:14.133349Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58462643-290b-4190-b527-e67b34bfc96b · outbound

This paper cites an unresolved cited work.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Unresolved cited work

Reference 3

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Observation b1a2b0fe-923f-47d3-a64c-29197eb90180 · outbound

This paper cites an unresolved cited work.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Unresolved cited work

Reference 4

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Observation 9015cece-37e1-41e9-bbca-b4b5b1122a54 · outbound

This paper cites Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:12.999924Z

Source-reported events for the cited work

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Observation 94e17bc5-05a7-4bf2-ba27-075c089fc36e · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Diffusion posterior sampling for general noisy inverse problems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:12.678713Z

Source-reported events for the cited work

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Observation 73ac0b02-fa87-4152-9a31-a7f42d34fbbb · outbound

This paper cites Mr image denoising and super-resolution using regularized reverse diffusion.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Mr image denoising and super-resolution using regularized reverse diffusion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:12.388074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16383a8a-1be4-4cd8-9a34-50ddaae4311e · outbound

This paper cites Inverse optimization: Theory and applications.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Inverse optimization: Theory and applications

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:12.038531Z

Source-reported events for the cited work

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Observation 6f1a764c-c7e6-48ac-a525-a6436b1ab692 · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach

Reference 9

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Source-reported events for the cited work

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Observation 84c8647f-f428-4e1c-ad8d-022ef5f92f1d · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Improving diffusion models for inverse problems using manifold constraints

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72f0ff1c-2b12-45f3-ab0b-050c7291a387 · outbound

This paper cites an unresolved cited work.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation c8b5faa9-f584-4ede-a181-41fc7681f9f2 · outbound

This paper cites Score-based diffusion models for accelerated mri.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Score-based diffusion models for accelerated mri

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:11.007651Z

Source-reported events for the cited work

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Observation 95176f3f-c76d-4a90-ab5b-574e3234a3fe · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems A Survey on Diffusion Models for Inverse Problems

Reference 13

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Observation b5c057f8-bd8c-4fb4-a577-43b3361372fb · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Imagenet: A large-scale hierarchical image database

Reference 14

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Observation 3c0b8f97-1406-4f28-aca0-32dca63d927b · outbound

This paper cites an unresolved cited work.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation e9c54a9b-af29-4604-be40-61f6e9a506ed · outbound

This paper cites Diffusion models beat GAN s on image synthesis.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Diffusion models beat GAN s on image synthesis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:10.444616Z

Source-reported events for the cited work

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Observation f94693a0-139e-4c0f-8921-6145e5db0672 · outbound

This paper cites Conditional diffusion models for semantic 3d brain mri synthesis.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Conditional diffusion models for semantic 3d brain mri synthesis

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:10.282620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e5cc98b-ac47-43e0-96c2-e2913c32c48c · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Diffusion posterior sampling for linear inverse problem solving: A filtering perspective

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:10.099488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49a6adff-2e0f-4303-bcdb-ee35f994b7f2 · outbound

This paper cites DEFT : Efficient fine-tuning of diffusion models by learning the generalised \ h\ -transform.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems DEFT : Efficient fine-tuning of diffusion models by learning the generalised \ h\ -transform

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:09.950358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bdb2cba2-4c68-45e7-8dee-10351be15bbc · outbound

This paper cites Reinforcement learning for fine-tuning text-to-image diffusion models.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Reinforcement learning for fine-tuning text-to-image diffusion models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:09.742570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67682db0-56ea-48a8-be70-77fa5381d735 · outbound

This paper cites Diffusion posterior sampling is computationally intractable.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Diffusion posterior sampling is computationally intractable

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:09.584735Z

Source-reported events for the cited work

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Observation da10b4a9-2564-41a9-8292-1e1862da9900 · outbound

This paper cites Protein design with guided discrete diffusion.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Protein design with guided discrete diffusion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:09.398041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f1cadb3-8660-4cff-895c-12d07266e016 · outbound

This paper cites Denoising diffusion probabilistic models.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Denoising diffusion probabilistic models

Reference 23

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Source-reported events for the cited work

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Observation b81076e8-e5ba-435c-a8eb-a7c447557632 · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:18:58.857261Z

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Observation 036f7861-a4c8-4310-b1a2-89c094df76b9 · outbound

This paper cites An edit friendly ddpm noise space: Inversion and manipulations.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems An edit friendly ddpm noise space: Inversion and manipulations

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:09.148565Z

Source-reported events for the cited work

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Observation f125025d-e335-44d2-85bc-8329b8516b15 · outbound

This paper cites Med-cdiff: Conditional medical image generation with diffusion models.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Med-cdiff: Conditional medical image generation with diffusion models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:08.865207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e321c47e-3b58-4816-a982-d3f1cdfeae09 · outbound

This paper cites Rethinking fid: Towards a better evaluation metric for image generation.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Rethinking fid: Towards a better evaluation metric for image generation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:08.558446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a53733f-8fcb-4f93-9552-95812c788219 · outbound

This paper cites Denoising diffusion restoration models.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Denoising diffusion restoration models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:08.308055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3dcb86d-3e3f-4ec2-a12b-8210a441b1e6 · outbound

This paper cites Learning multiple layers of features from tiny images.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Learning multiple layers of features from tiny images

Reference 29

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Observation f1d517a1-cf93-4ba0-962e-8eb6bb0b7b28 · outbound

This paper cites Diffusion models for black-box optimization.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Diffusion models for black-box optimization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:08.023295Z

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Observation aedc8e29-323d-4014-aaa7-ae79ab2785fa · outbound

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ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Unresolved cited work

Reference 31

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Observation 68b9e706-8e5f-4c3d-80cc-1fdccb89d780 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models, 2022.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Repaint: Inpainting using denoising diffusion probabilistic models, 2022

Reference 32

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Observation 3300a4f3-f8ee-48bf-8048-f21f66c97de2 · outbound

This paper cites Alkhouri, Saiprasad Ravishankar, and Qing Qu.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Alkhouri, Saiprasad Ravishankar, and Qing Qu

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:07.449629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e9d06f5-ff22-40b2-895d-6ab96ba0ade2 · outbound

This paper cites Diffusion Model for Data-Driven Black-Box Optimization.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Diffusion Model for Data-Driven Black-Box Optimization

Reference 34

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Observation 2d61dcda-f348-4c73-b278-5c20b1447ddd · outbound

This paper cites Derivative-free guidance in continuous and discrete diffusion models with soft value-based decoding, 2024.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Derivative-free guidance in continuous and discrete diffusion models with soft value-based decoding, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:07.211412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d569ec9-bad3-44a1-be9a-499ad7a13015 · outbound

This paper cites Deep generative adversarial neural networks for compressive sensing mri.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Deep generative adversarial neural networks for compressive sensing mri

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:06.998152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c6727f2c-63e4-4f4a-b25b-3887e7cad119 · outbound

This paper cites Null-text inversion for editing real images using guided diffusion models, 2022.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Null-text inversion for editing real images using guided diffusion models, 2022

Reference 37

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Source-reported events for the cited work

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Observation 7b8833ca-a28a-4391-a5a9-6ae797051fbd · outbound

This paper cites Variational diffusion posterior sampling with midpoint guidance.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Variational diffusion posterior sampling with midpoint guidance

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:06.723261Z

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Observation 629a5e5c-2ca3-49cf-a76a-c78d2a098973 · outbound

This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Reference 39

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Observation b46be262-37d3-4467-9c30-22ec2af60728 · outbound

This paper cites Posterior sampling in high dimension via diffusion processes, 2024.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Posterior sampling in high dimension via diffusion processes, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:06.437200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f46c9d77-3099-4b41-9d73-321e3114b1c5 · outbound

This paper cites Metzler, Richard G.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Metzler, Richard G

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:06.168914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fcd787a3-d741-45ae-bf32-aa2d0bea3f40 · outbound

This paper cites Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:00.260531Z

Source-reported events for the cited work

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Observation d8d164c3-73dd-41a5-95ec-52ce051fd01f · outbound

This paper cites Fleet, and Mohammad Norouzi.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Fleet, and Mohammad Norouzi

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:05.884282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 99f3b2d1-068b-4f8c-93b8-d611db1890a5 · outbound

This paper cites A general framework for inference-time scaling and steering of diffusion models, 2025.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems A general framework for inference-time scaling and steering of diffusion models, 2025

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:05.616588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e23b75f4-f7aa-4152-b9a8-432068803811 · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Score-based generative modeling through stochastic differential equations

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:00.610900Z

Source-reported events for the cited work

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Observation 05797204-59f4-44b3-96ff-a054a1679e16 · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Pseudoinverse-guided diffusion models for inverse problems

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:05.346681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 04ccfe64-97c7-4d7c-a07f-03274aec0609 · outbound

This paper cites Inference-time alignment in diffusion models with reward-guided generation: Tutorial and review, 2025.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Inference-time alignment in diffusion models with reward-guided generation: Tutorial and review, 2025

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:05.070331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eeac4727-15f6-44c4-a449-5811073654d1 · outbound

This paper cites Amortizing intractable inference in diffusion models for vision, language, and control.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Amortizing intractable inference in diffusion models for vision, language, and control

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:04.765135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17c2b5f0-8f65-47ef-bdef-22e8dc721eb1 · outbound

This paper cites Boltz-1: Democratizing biomolecular interaction modeling.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Boltz-1: Democratizing biomolecular interaction modeling

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:04.455319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 031753bc-9801-43e6-beb0-4b0f4fbd2df4 · outbound

This paper cites End-to-end diffusion latent optimization improves classifier guidance.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems End-to-end diffusion latent optimization improves classifier guidance

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:04.201805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d5b55907-df24-4aae-92bd-9e781596cdd0 · outbound

This paper cites Deep compressed sensing.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Deep compressed sensing

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:03.894802Z

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Observation 1ace90ec-9946-45b7-ab67-76c0fcb580d5 · outbound

This paper cites Trippe, Christian A.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Trippe, Christian A

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:03.550056Z

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Observation effb2ee0-1a2d-4be2-a8af-2d71d7593aaa · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Zero-shot image restoration using denoising diffusion null-space model

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:03.264907Z

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Observation e9924daf-1ec8-4865-b1ce-a054a8d30bc9 · outbound

This paper cites Provably robust score-based diffusion posterior sampling for plug-and-play image reconstruction, 2024.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Provably robust score-based diffusion posterior sampling for plug-and-play image reconstruction, 2024

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:02.949004Z

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Observation 7388dc5c-436d-4c93-b307-3346629f9007 · outbound

This paper cites Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing.

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:02.071191Z

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Observation 14073d8f-e4b5-4b12-8066-94eeb4e497d2 · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems The unreasonable effectiveness of deep features as a perceptual metric

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:02.151748Z

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Observation f4e3cb06-2f32-4689-8e07-f9ddf5bd8b0d · outbound

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

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems Denoising diffusion models for plug-and-play image restoration

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:19:02.656986Z

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Pith citing papers

Observation 365bab06-45db-4615-8779-149ad1ff74ca · inbound

The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives cites this paper.

The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:52:08.899469Z

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