Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T12:45:35.621990Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2510.02208.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-04T12:45:35.621990Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
62 of 62 outbound references displayed
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Observation 4d041cb6-8884-44b7-8e67-f4d499b36b7b · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Solving inverse problems in medical imaging with score-based generative models,
Reference 1
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Observation cf419e5e-1ed6-4b31-8790-3ae6d7aec7b2 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Compressed sensing us- ing generative models,
Reference 2
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Observation 00d364ca-5328-4382-9030-2e6db7a58ad8 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems An overview of full-waveform inversion in exploration geophysics,
Reference 3
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Observation 58daeb8f-7059-45bd-8bae-99ba047a86ef · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Video diffusion models,
Reference 4
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Observation 70125acc-13f2-4370-906d-4888c8e25427 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Diffir2vr-zero: Zero-shot video restoration with diffusion- based image restoration models,
Reference 5
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Observation 4b68755e-055d-410f-b07c-4724b9ebffc7 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Warped diffusion: Solving video inverse problems with image diffusion models,
Reference 6
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Observation 80ee487e-a207-43d7-b9ae-1362392c0a10 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Vision-XL: High definition video inverse problem solver using latent image diffusion models,
Reference 7
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Observation e4513e1a-5957-4e47-bc94-7dee6ebb48ea · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Solving video inverse problems using image diffusion models,
Reference 8
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Observation c51b9d18-ccb3-45aa-bf57-5d4b3ee71816 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Solving audio inverse prob- lems with a diffusion model,
Reference 9
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Observation 4da73747-dd53-4c6e-a422-856d67874031 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Image denoising by sparse 3-D transform-domain collaborative filtering,
Reference 10
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Observation 0b207c89-af45-4469-af3c-3cce1f4afdfb · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Image denoising via sparse and redundant representations over learned dictionaries,
Reference 11
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Observation 700ba56d-2d2b-4a1c-a210-cb0d1c714803 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Weighted nuclear norm minimization with application to image denoising,
Reference 12
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Observation df348bac-dd1d-4be3-a826-fe4b97c67725 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Image denoising: The deep learning revolution and beyond—a survey paper,
Reference 13
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Observation 83af8e08-88fe-43da-b6ac-35c853d9130a · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems A residual dense U-Net neural network for image denoising,
Reference 14
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Observation 1aed3f5b-ee8c-445f-9193-85ddeee0c6e3 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration,
Reference 15
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Observation 582280c2-535a-471d-9d82-5b9dde12d400 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems High perceptual quality image denoising with a posterior sampling cGAN,
Reference 16
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Observation d9bd0a07-e0c9-4525-b9a8-176e16c71c44 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Denoising diffusion probabilistic models,
Reference 17
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Observation 90632289-bb29-4291-963c-44f3d61822a4 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Generative modeling by estimating gradients of the data distribution,
Reference 18
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Observation a8d7c224-aaa7-4afa-85fc-2fbc68f56bd6 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Diffusion models beat GANs on image synthesis,
Reference 19
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Observation 8096a61e-9a4e-41ad-9583-2e97bd4a013f · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems High- resolution image synthesis with latent diffusion models,
Reference 20
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Observation 32ec346c-f3c9-437f-8a55-b92099630035 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Score-Based Generative Modeling through Stochastic Differential Equations
Reference 21
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Observation 5352242f-d0b0-4843-be24-d32526f828e8 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Denoising diffusion restoration models,
Reference 22
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Observation 2573e1d2-8d6f-4f79-8c2e-d994ee874fd0 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Deep back-projection networks for super-resolution,
Reference 23
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Observation 251aa141-579d-4b4e-b444-56b262f67203 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Image super-resolution via iterative refinement,
Reference 24
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Observation 7f19704b-90c8-4bd0-b6b6-07d4115759ee · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Semantic image inpainting with deep generative models,
Reference 25
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Observation 380be501-cd85-4e1e-b144-fa8791fd0208 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems RePaint: Inpainting using denoising diffusion probabilistic mod- els,
Reference 26
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Observation 890c1c34-b8c1-4173-bbed-41e45222f420 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems DeblurGAN-v2: De- blurring (orders-of-magnitude) faster and better,
Reference 27
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Observation 96ece306-0d2f-479e-b2f2-28e5ad252513 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Palette: Image-to-image diffusion models,
Reference 28
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Observation a137b472-14c9-49fe-a42e-1adb76b79682 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Solving inverse problems with latent diffusion models via hard data consistency,
Reference 29
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Observation d826c344-1186-4367-a48a-ff916ac9a92c · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems SILO: Solving inverse problems with latent operators,
Reference 30
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Observation 0b0bff03-c082-4178-aae4-6567fdb3b85a · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Improving diffusion models for inverse problems using manifold constraints,
Reference 31
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Observation 700d3292-29cb-44d2-81fd-27c1bddf304e · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Diffusion posterior sampling for general noisy inverse problems,
Reference 32
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Observation b74440b3-8c55-4266-927b-858d5893d7e2 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Decomposed diffusion sampler for accelerating large-scale inverse problems,
Reference 33
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Observation 967eac2e-801e-4c2c-8a96-8526c9fa9938 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Solving 3D inverse problems using pre-trained 2D diffusion models,
Reference 34
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Observation 36165551-15dc-4de4-a4b2-9a56537db377 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems SNIPS: Solving noisy inverse problems stochastically,
Reference 35
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Observation c0d9812d-4492-4d2b-9f16-70ebcf268125 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Pseudoinverse-guided diffusion models for inverse problems,
Reference 36
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Observation 8f77b5dc-1d8e-415f-93c4-bd6922f41895 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Zero-shot image restoration using de- noising diffusion null-space model,
Reference 37
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Observation e0d56845-35b0-40ee-b51c-36379bc495fb · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems ILVR: Condition- ing method for denoising diffusion probabilistic models,
Reference 38
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Observation 99ab9ed2-57a3-45db-81cc-c2b054b42287 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Direct diffusion bridge using data consistency for inverse problems,
Reference 39
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Observation 576c4af1-1cfc-456d-aec6-e4cbd7512cef · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Denoising diffusion implicit models,
Reference 40
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Observation ac07c505-851c-4fb3-9ec0-bff93e5fa95d · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Consistency models,
Reference 41
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Observation 277e6b13-bde6-4c47-abd4-4d5ff8d918a3 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Multistep Consistency Models
Reference 42
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Observation badf8d1f-d322-49c5-9a25-37389a9efc59 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Consistency Models Made Easy
Reference 43
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Observation 997cb4d9-0a7b-4636-a87f-50c11c39ff7e · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Reference 44
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Observation a78783a9-d69a-4f9e-b07e-dbc5ee3eecd7 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Reference 45
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Observation 6ee58323-581c-45af-9ec3-b8e7fae30cbc · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems GANs trained by a two time-scale update rule converge to a local Nash equilibrium,
Reference 46
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Observation cdc4b85a-0f07-43cf-a7b4-e6cd4539567c · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Demysti- fying MMD GANs,
Reference 47
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Observation de7ad89f-2b70-4307-874f-a4e9085fb7b8 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Image quality assessment: From error visibility to structural similarity,
Reference 48
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Observation 491de452-d948-4855-a9f8-42d280e82462 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Reference 49
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Observation 70178b41-0932-4fc8-973b-cf4be4ceba3d · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems InvFusion: Bridging supervised and zero-shot diffusion for inverse problems,
Reference 50
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Observation 382a8acb-1878-463f-b9f7-1783228ae6ae · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Loss-guided diffusion models for plug-and-play con- trollable generation,
Reference 51
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Observation 587a762b-3e65-4c9c-ba5f-436effcdc338 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems DEFT: Efficient fine-tuning of diffusion models by learning the generalized h-transform,
Reference 52
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Observation 4fe0d0a2-6ea0-4320-9045-63c0896039be · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems A Survey on Diffusion Models for Inverse Problems
Reference 53
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Observation 241b84e3-7e4d-439f-9091-34cf4837da09 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems CoSIGN: Few-step guidance of consistency model to solve general inverse problems,
Reference 54
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Observation b21215a3-ea4e-4c6c-8c0c-722d9f4e24ea · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Con- sistency models for scalable and fast simulation-based inference,
Reference 55
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Observation 8c98bb71-1683-4bce-bfe7-5be445227e26 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems LATINO-PRO: Latent consistency inverse solver with prompt opti- mization,
Reference 56
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Observation 3639c59b-d1a1-4549-849d-4e7c00147521 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Zero-shot image restoration using few-step guidance of consistency models (and beyond),
Reference 57
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Observation 4aa33a5a-180d-4b9e-9ab1-0ba9a5fe4d98 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems DPM-Solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps,
Reference 58
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Observation 409ef1b6-a87e-4ca9-a260-3c57b49e1b53 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Elucidating the design space of diffusion-based generative models,
Reference 59
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Observation e7c229ee-b155-455e-be64-a73000c0738c · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems The perception-distortion tradeoff,
Reference 60
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Observation 59d1beca-3201-41c3-81ec-593af024a7c2 · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems A theory of the distortion- perception tradeoff in wasserstein space,
Reference 61
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Observation f2783b0c-91dd-4a23-83ad-ba137b8b589c · outbound
MACS: Measurement-Aware Consistency Sampling for Inverse Problems Looks too good to be true: An information-theoretic analysis of hallucinations in generative restoration models,
Reference 62
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No inbound Pith citation observations are available.