Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:59:48.355930Z
Paper Citation Record · LEDGER
SILO: Solving Inverse Problems with Latent Operators
As of 12 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T16:25:40.109393Z
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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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
Unavailable: canonical work link unavailable.
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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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
Unavailable: canonical work link unavailable.
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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.