Paper Citation Record · LEDGER

SILO: Solving Inverse Problems with Latent Operators

As of 11 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 3 inbound Pith citation observations for arXiv:2501.11746.

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

pith.paper-citation-record.v1
2501.11746 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:59:48.355930Z

measured 70 of 70 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:25:40.109393Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

67 of 67 outbound references displayed

verified exact0
verified fuzzy58
unresolved8
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f21fa7b-7a56-4fbb-9206-781c8f8c4557 · outbound

This paper cites Aharon, M.

SILO: Solving Inverse Problems with Latent Operators Aharon, M

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.517618Z

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 1bba6c7f-f47e-4264-b8d7-8cab4058c04b · outbound

This paper cites Improving Image Genera- tion with Better Captions.

SILO: Solving Inverse Problems with Latent Operators Improving Image Genera- tion with Better Captions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.502485Z

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 c9fd6df5-179b-4e46-b709-46793e137360 · outbound

This paper cites Sutherland, Michael Arbel, and Arthur Gretton.

SILO: Solving Inverse Problems with Latent Operators Sutherland, Michael Arbel, and Arthur Gretton

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.485940Z

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 8e105004-f39f-4485-9c03-3a9c7758edb1 · outbound

This paper cites The Perception-Distortion Tradeoff.

SILO: Solving Inverse Problems with Latent Operators The Perception-Distortion Tradeoff

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T17:59:48.039735Z

Source-reported events for the cited work

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Observation 95afdb8a-db65-4742-9503-7c55498166e4 · outbound

This paper cites Chan, Xiran Wang, and Omar A.

SILO: Solving Inverse Problems with Latent Operators Chan, Xiran Wang, and Omar A

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.454475Z

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 fac9bb3b-11c2-46a2-9c3d-efb47823b7e1 · outbound

This paper cites Trainable Nonlinear Reac- tion Diffusion: A Flexible Framework for Fast and Effective Image Restoration.

SILO: Solving Inverse Problems with Latent Operators Trainable Nonlinear Reac- tion Diffusion: A Flexible Framework for Fast and Effective Image Restoration

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.436606Z

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 4f5ec8f9-9b06-4acb-ae74-bb0beac95866 · outbound

This paper cites Diffusion Pos- terior Sampling for General Noisy Inverse Problems.

SILO: Solving Inverse Problems with Latent Operators Diffusion Pos- terior Sampling for General Noisy Inverse Problems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.419752Z

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 fa5f3357-1af4-4378-8c10-73b56e247620 · outbound

This paper cites Decom- posed Diffusion Sampler for Accelerating Large-Scale In- verse Problems.

SILO: Solving Inverse Problems with Latent Operators Decom- posed Diffusion Sampler for Accelerating Large-Scale In- verse Problems

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.403168Z

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 50b659b7-8eab-4c86-ac39-191ab2d527a3 · outbound

This paper cites Prompt-tuning latent diffusion models for inverse problems, 2023.

SILO: Solving Inverse Problems with Latent Operators Prompt-tuning latent diffusion models for inverse problems, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.385320Z

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 e0fedefc-b954-4a48-bded-1ab8caecdecc · outbound

This paper cites Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering.

SILO: Solving Inverse Problems with Latent Operators Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T17:59:48.070130Z

Source-reported events for the cited work

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Observation f0a4545f-32f6-4e43-aa89-40a7907fa34e · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

SILO: Solving Inverse Problems with Latent Operators Diffusion Models Beat GANs on Image Synthesis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.358848Z

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 e84b9f3d-2b1e-46af-95ea-8df9e0feab8a · outbound

This paper cites Tweedie’s Formula and Selection Bias.

SILO: Solving Inverse Problems with Latent Operators Tweedie’s Formula and Selection Bias

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.343146Z

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 0c44c256-47a1-4353-9d90-b3c7bb5f4ff5 · outbound

This paper cites Image Denoising Via Sparse and Redundant Representations Over Learned Dic- tionaries.

SILO: Solving Inverse Problems with Latent Operators Image Denoising Via Sparse and Redundant Representations Over Learned Dic- tionaries

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T17:59:48.084920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 850987e0-5acb-465c-a999-01a145d5b002 · outbound

This paper cites Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper.

SILO: Solving Inverse Problems with Latent Operators Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.316179Z

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 98fbfec3-e1d3-4387-8712-fa56edfa68a9 · outbound

This paper cites Adaptive Compressed Sensing with Diffusion-Based Posterior Sam- pling.

SILO: Solving Inverse Problems with Latent Operators Adaptive Compressed Sensing with Diffusion-Based Posterior Sam- pling

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.299157Z

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 dceb6f1e-3d3c-455b-af02-32c28433fa70 · outbound

This paper cites Sparsity based Poisson de- noising.

SILO: Solving Inverse Problems with Latent Operators Sparsity based Poisson de- noising

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.283235Z

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 76980060-e4b1-47f0-9ea5-da9d4d02479b · outbound

This paper cites Weighted Nuclear Norm Minimization with Applica- tion to Image Denoising.

SILO: Solving Inverse Problems with Latent Operators Weighted Nuclear Norm Minimization with Applica- tion to Image Denoising

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.265141Z

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 e3fe5c14-1739-4a2d-9dc3-aabd514caf55 · outbound

This paper cites Alarc´on.

SILO: Solving Inverse Problems with Latent Operators Alarc´on

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T17:59:48.110393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b35f7b3a-8390-4ba0-b1f2-9c5a81e02537 · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

SILO: Solving Inverse Problems with Latent Operators GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.238617Z

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 528535d0-8a9b-4949-937c-8595e046657c · outbound

This paper cites Classifier-Free Diffusion Guidance.

SILO: Solving Inverse Problems with Latent Operators Classifier-Free Diffusion Guidance

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.221544Z

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 17520185-a1a6-4d73-a08f-6101d9cd53ed · outbound

This paper cites Denoising Dif- fusion Probabilistic Models.

SILO: Solving Inverse Problems with Latent Operators Denoising Dif- fusion Probabilistic Models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.205503Z

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 7ab51aaf-f401-4941-9396-cbfea823d406 · outbound

This paper cites an unresolved cited work.

SILO: Solving Inverse Problems with Latent Operators Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:59:49.189920Z

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 b1fec8f4-bfca-4d6d-96fe-fd2c8e6a03e1 · outbound

This paper cites What is the best multi-stage architecture for object recognition? In 2009 IEEE 12th International Conference on Computer Vision, pages 2146–2153, 2009.

SILO: Solving Inverse Problems with Latent Operators What is the best multi-stage architecture for object recognition? In 2009 IEEE 12th International Conference on Computer Vision, pages 2146–2153, 2009

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.173853Z

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 ed8e7c93-d8d5-4f52-80df-fbf9d1e32165 · outbound

This paper cites Towards Flex- ible Blind JPEG Artifacts Removal.

SILO: Solving Inverse Problems with Latent Operators Towards Flex- ible Blind JPEG Artifacts Removal

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.157634Z

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 1d359a2d-0e3f-4780-a706-8dbfb712f1e4 · outbound

This paper cites A Style- Based Generator Architecture for Generative Adversarial Networks.

SILO: Solving Inverse Problems with Latent Operators A Style- Based Generator Architecture for Generative Adversarial Networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.141129Z

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 484e47ef-fe30-4e63-93d2-81229357e112 · outbound

This paper cites Denoising Diffusion Restoration Models.

SILO: Solving Inverse Problems with Latent Operators Denoising Diffusion Restoration Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T17:59:48.146621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 390d8a0d-a872-4043-830a-3edc1fb13e5e · outbound

This paper cites Regularization by Texts for Latent Diffusion Inverse Solvers, 2024.

SILO: Solving Inverse Problems with Latent Operators Regularization by Texts for Latent Diffusion Inverse Solvers, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.115175Z

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 bd74c966-6785-4931-8305-0e3191fe3e61 · outbound

This paper cites Kingma and Jimmy Ba.

SILO: Solving Inverse Problems with Latent Operators Kingma and Jimmy Ba

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.098202Z

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 6404977b-866b-40aa-ab7c-50d489d9918a · outbound

This paper cites Kingma and Max Welling.

SILO: Solving Inverse Problems with Latent Operators Kingma and Max Welling

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.081295Z

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 50894a7a-8f5a-4bbe-8551-80949c74dcd3 · outbound

This paper cites Im- ageNet Classification with Deep Convolutional Neural Net- works.

SILO: Solving Inverse Problems with Latent Operators Im- ageNet Classification with Deep Convolutional Neural Net- works

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.064921Z

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 692a907b-fc21-433c-b1e5-0db706c0d84f · outbound

This paper cites LSDIR: A Large Scale Dataset for Image Restoration.

SILO: Solving Inverse Problems with Latent Operators LSDIR: A Large Scale Dataset for Image Restoration

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.046156Z

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 0a826c32-9169-4be6-b079-ba0fd13b5994 · outbound

This paper cites SwinIR: Image Restoration Using Swin Transformer.

SILO: Solving Inverse Problems with Latent Operators SwinIR: Image Restoration Using Swin Transformer

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.029824Z

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 6c1737b7-2169-487d-9fb9-e738031c5c32 · outbound

This paper cites Lawrence Zitnick.

SILO: Solving Inverse Problems with Latent Operators Lawrence Zitnick

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:49.012643Z

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 495be965-1e57-49f4-885a-fcb9748e66da · outbound

This paper cites Decoupled Weight De- cay Regularization.

SILO: Solving Inverse Problems with Latent Operators Decoupled Weight De- cay Regularization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.985930Z

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 09650a20-9077-4028-9124-4792f4e3d38d · outbound

This paper cites Gold- man, and Aleksander Holynski.

SILO: Solving Inverse Problems with Latent Operators Gold- man, and Aleksander Holynski

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.969293Z

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 63ca2b94-608a-4987-b326-812c6023b60e · outbound

This paper cites High-Perceptual Quality JPEG Decoding via Posterior Sam- pling.

SILO: Solving Inverse Problems with Latent Operators High-Perceptual Quality JPEG Decoding via Posterior Sam- pling

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T17:59:48.202943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f7bdf98-78e7-49b2-a979-746f03bcecf1 · outbound

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

SILO: Solving Inverse Problems with Latent Operators A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.943889Z

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 959c6a89-f779-434c-a82a-78beeb18e3cf · outbound

This paper cites High Perceptual Quality Image De- noising With a Posterior Sampling CGAN.

SILO: Solving Inverse Problems with Latent Operators High Perceptual Quality Image De- noising With a Posterior Sampling CGAN

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.929140Z

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 30ab1726-2516-454c-9a82-728f11866849 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

SILO: Solving Inverse Problems with Latent Operators Learning Transferable Visual Models From Natural Language Supervision

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.804854Z

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 681eda2b-9e58-4e9c-b160-315452362dbb · outbound

This paper cites Inverse Methods for Atmospheric Sound- ing: Theory and Practice.

SILO: Solving Inverse Problems with Latent Operators Inverse Methods for Atmospheric Sound- ing: Theory and Practice

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.790129Z

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 b1172366-7bdc-4a5a-b59b-938fcedddafa · outbound

This paper cites The Little Engine That Could: Regularization by Denoising (RED).

SILO: Solving Inverse Problems with Latent Operators The Little Engine That Could: Regularization by Denoising (RED)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.775962Z

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 9464df0c-0488-42ac-a7e5-6477f97ff823 · outbound

This paper cites High-Resolution Image Synthesis With Latent Diffusion Models.

SILO: Solving Inverse Problems with Latent Operators High-Resolution Image Synthesis With Latent Diffusion Models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.760837Z

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 d16a1080-4971-4f8e-abb7-2cc422463c21 · outbound

This paper cites Dimakis, and Sanjay Shakkottai.

SILO: Solving Inverse Problems with Latent Operators Dimakis, and Sanjay Shakkottai

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.744914Z

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 c7251a22-e177-40a6-b187-77fa2594bc98 · outbound

This paper cites Beyond First-Order Tweedie: Solving Inverse Problems using La- tent Diffusion.

SILO: Solving Inverse Problems with Latent Operators Beyond First-Order Tweedie: Solving Inverse Problems using La- tent Diffusion

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.729602Z

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 fe54480e-a350-4fe0-a81e-4191eeb11abf · outbound

This paper cites Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J.

SILO: Solving Inverse Problems with Latent Operators Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.713818Z

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 ee1fd79f-5b2f-4763-a800-edb2dd254706 · outbound

This paper cites Stablediffusionapi/realistic- vision-51 · Hugging Face.

SILO: Solving Inverse Problems with Latent Operators Stablediffusionapi/realistic- vision-51 · Hugging Face

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.698464Z

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 d281f8b8-ac23-4135-9041-c035c2da9457 · outbound

This paper cites Very Deep Convo- lutional Networks for Large-Scale Image Recognition, 2015.

SILO: Solving Inverse Problems with Latent Operators Very Deep Convo- lutional Networks for Large-Scale Image Recognition, 2015

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.683109Z

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 904370d8-9d11-4cc2-91b6-4ba27e2d0072 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

SILO: Solving Inverse Problems with Latent Operators Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.668991Z

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 efb12d12-a207-49ab-a907-da275c0cc5f2 · outbound

This paper cites Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency.

SILO: Solving Inverse Problems with Latent Operators Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.654603Z

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 46f54daf-eb17-4f50-81ae-912547eda105 · outbound

This paper cites Generative Modeling by Es- timating Gradients of the Data Distribution.

SILO: Solving Inverse Problems with Latent Operators Generative Modeling by Es- timating Gradients of the Data Distribution

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.639399Z

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 409c0779-2789-4774-854e-ffda9a54547c · outbound

This paper cites Generative Modeling by Estimating Gradients of the Data Distribution.

SILO: Solving Inverse Problems with Latent Operators Generative Modeling by Estimating Gradients of the Data Distribution

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.624615Z

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 461b55eb-6d2f-47e3-8c84-ed6146104422 · outbound

This paper cites Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole.

SILO: Solving Inverse Problems with Latent Operators Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.610120Z

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 baba1a88-ddde-4d2c-9bb8-0d9a677ddee8 · outbound

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

SILO: Solving Inverse Problems with Latent Operators Solv- ing Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.595591Z

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 2d2bdf11-ae29-4aca-b1f7-a8f62db9c997 · outbound

This paper cites Venkatakrishnan, Charles A.

SILO: Solving Inverse Problems with Latent Operators Venkatakrishnan, Charles A

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.580847Z

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 80a494b8-ae0f-459d-88ce-976303534854 · outbound

This paper cites A Connection Between Score Matching and Denoising Autoencoders.

SILO: Solving Inverse Problems with Latent Operators A Connection Between Score Matching and Denoising Autoencoders

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.565881Z

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 e8a130cb-821c-44e7-bd48-22c4d6281e3b · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model’s Perception of the World at Any Resolution, 2024.

SILO: Solving Inverse Problems with Latent Operators Qwen2-VL: Enhancing Vision-Language Model’s Perception of the World at Any Resolution, 2024

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.550785Z

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 12184341-8df8-41f2-82da-447b51f53731 · outbound

This paper cites ESRGAN: En- hanced Super-Resolution Generative Adversarial Networks.

SILO: Solving Inverse Problems with Latent Operators ESRGAN: En- hanced Super-Resolution Generative Adversarial Networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.536738Z

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 7842cede-b36a-48f1-beac-ef288fd0f51a · outbound

This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.

SILO: Solving Inverse Problems with Latent Operators Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.521818Z

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 420cc675-86d5-4850-ada3-7312849a6dce · outbound

This paper cites RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs.

SILO: Solving Inverse Problems with Latent Operators RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.506175Z

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 c93f28a1-2ee6-4d3a-b609-32fd501e7c74 · outbound

This paper cites On Single Image Scale-Up Using Sparse-Representations.

SILO: Solving Inverse Problems with Latent Operators On Single Image Scale-Up Using Sparse-Representations

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.490501Z

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 7af364a3-62df-44f7-8c9f-d23bef0f49bb · outbound

This paper cites Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising.

SILO: Solving Inverse Problems with Latent Operators Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.474478Z

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 ce4a31dc-4c3f-45c8-88b5-5a25eddb4265 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

SILO: Solving Inverse Problems with Latent Operators Efros, Eli Shecht- man, and Oliver Wang

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.457719Z

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 60cfdf76-a15d-40a1-9540-a0f3e51c74da · outbound

This paper cites PerceptualSimilarity, 2018 https://github.com/richzhang/PerceptualSimilarity.

SILO: Solving Inverse Problems with Latent Operators PerceptualSimilarity, 2018 https://github.com/richzhang/PerceptualSimilarity

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.442509Z

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 edd728ab-0a91-42d5-9a87-ec871397ff02 · outbound

This paper cites Denoising Dif- fusion Models for Plug-and-Play Image Restoration.

SILO: Solving Inverse Problems with Latent Operators Denoising Dif- fusion Models for Plug-and-Play Image Restoration

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.426853Z

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 f39b69d5-b79f-4e36-8d78-7c9c37278e54 · outbound

This paper cites bi-domain.

SILO: Solving Inverse Problems with Latent Operators bi-domain

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:59:48.410561Z

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 39456e94-a9f6-49d2-8fd9-91c0e65ce794 · outbound

This paper cites an unresolved cited work.

SILO: Solving Inverse Problems with Latent Operators Unresolved cited work

Reference 256

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T17:59:48.393980Z

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 b3685c9b-c026-4e15-b7b3-dc833fa3a221 · outbound

This paper cites an unresolved cited work.

SILO: Solving Inverse Problems with Latent Operators Unresolved cited work

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-10T17:59:48.188171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 79576ae9-af9f-4b4e-b273-7647fad22b9e · inbound

Compressed Image Generation with Denoising Diffusion Codebook Models cites this paper.

Compressed Image Generation with Denoising Diffusion Codebook Models SILO: Solving Inverse Problems with Latent Operators

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T16:25:40.109393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fbcbeda-a461-422d-a7d5-9088e8757cc8 · inbound

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo cites this paper.

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo SILO: Solving Inverse Problems with Latent Operators

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T17:34:10.317669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b0abdf9-a491-4be6-85e7-da0daa21f5ec · inbound

Consistency Regularised Gradient Flows for Inverse Problems cites this paper.

Consistency Regularised Gradient Flows for Inverse Problems SILO: Solving Inverse Problems with Latent Operators

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:25:55.042575Z

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.