Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:16:39.741639Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 1 inbound Pith citation observation for arXiv:2411.18466.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:16:39.741639Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:56.883143Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:27:57.087060Z
72 of 72 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation daf89686-e669-4c75-b106-7e035f5324d7 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Multimodal prompt perceiver: Empower adap- tiveness generalizability and fidelity for all-in-one image restoration
Reference 1
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Observation 40edcdb3-85a0-4f63-a636-0dac4a915dc3 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Contour detection and hierarchical image segmen- tation
Reference 2
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Observation 2e92b6d6-80c9-4702-9135-47c7792dbad7 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Reference 3
Source-reported events for the cited work
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Observation f0415a74-209d-4f5f-84a2-8431339ef96e · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Non-local image dehazing
Reference 4
Source-reported events for the cited work
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Observation e237fdfc-7fb8-4a21-b93b-30f766163e52 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Dehazenet: An end-to-end system for single image haze removal
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Observation 15df6754-6c1a-4308-be58-02ed4f561875 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Simple baselines for image restoration
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Observation 2053a915-f883-44bf-b607-a590b4d9b0e4 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removal
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Observation 0ff2e68f-b209-488c-a7bf-9fba6aed3b2c · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Cross aggregation transformer for image restoration
Reference 8
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Observation 75c53d98-5d21-409d-848b-821bfdde20f4 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration In- structir: High-quality image restoration following human instructions
Reference 9
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Observation 6731ef62-6412-4055-b625-06cc1e5360b6 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration An application performance optimization model of mobile augmented reality based on hd restoration
Reference 10
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Observation 07d4f5c4-0ae4-457c-900a-440ccd0ff26b · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Fd-gan: Generative adversarial networks with fusion- discriminator for single image dehazing
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Observation 9982c34a-542f-4e70-a49a-1311dcb2035a · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Uniprocessor: A text-induced unified low- level image processor
Reference 12
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Observation d2ba3e8d-97b8-42db-8836-2214ada4060f · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration A general decoupled learning framework for parameterized image operators
Reference 13
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Observation 7a3a6269-09e8-433d-8524-ffce2df53896 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Dy- namic scene deblurring with parameter selective sharing and nested skip connections
Reference 14
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Observation e5c49d9d-bb66-44ac-8050-16f035b5812a · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Virtual restoration of deteriorated reli- gious heritage objects using augmented reality technologies
Reference 15
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Observation c7ee62c3-e276-43cb-b29e-6f53e9c00e00 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Mambair: A simple baseline for image restoration with state-space model
Reference 16
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Observation 9a985bfd-b301-41c2-a74c-7716d62f3c5e · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Onerestore: A universal restoration framework for com- posite degradation
Reference 17
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Observation 6eeb7fe9-36c1-49c0-a387-5b5237b13d90 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Multi-scale progressive fusion network for single image deraining
Reference 18
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Observation b17ab974-d5a9-48ae-a945-63928d67eaca · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
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Observation 13371632-b497-46ed-a536-e65d3d35e99a · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Kingma and Jimmy Ba
Reference 20
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Observation a8442d90-2db1-4b9a-bf9c-585155398a82 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Efficient frequency domain-based trans- formers for high-quality image deblurring
Reference 21
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Observation b4368389-aec9-4473-89e1-157a8218e403 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Noise2Noise: Learning Image Restoration without Clean Data
Reference 22
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Observation 5f1b5eb8-1f5c-4aec-aff7-baed6e768165 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Benchmarking single- image dehazing and beyond
Reference 23
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Observation d713e637-fe99-4ac6-ae22-6405090e4596 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration All-In-One Image Restoration for Unknown Corruption
Reference 24
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Observation 4ac6eb05-9deb-4e43-8347-1125e3ffc374 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Prompt-In-Prompt Learning for Universal Image Restoration
Reference 25
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Observation 458fc142-71ea-4268-a8db-310e3ba42aed · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Swinir: Image restoration using swin transformer
Reference 26
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Observation 49a764e8-8ebc-46f5-90d0-fcb3922de9c7 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Tape: Task-agnostic prior embedding for image restoration
Reference 27
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Observation e02993b0-92db-410b-b760-c253035287c7 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Swin transformer: Hierarchical vision transformer using shifted windows
Reference 28
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Observation d8a7fd32-9974-44d4-ae7e-ecfd66be1dad · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal
Reference 29
Source-reported events for the cited work
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Observation 20862a96-9b82-4f07-87d8-88f70ae61d34 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Controlling vision-language models for multi-task image restoration
Reference 30
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Observation a5cbcfce-24f0-4393-9387-c94f97674c7b · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Waterloo exploration database: New challenges for image quality as- sessment models
Reference 31
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Observation e98ef3bb-cc35-4c5f-838f-29956fa74b49 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
Reference 32
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Observation 8ed9d71b-ec14-466e-8666-8961a7092340 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Deep generalized unfolding networks for image restoration
Reference 33
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Observation c27c94cf-76cc-439a-84b8-0e85d6fee8d8 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring
Reference 34
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Observation 7798f5c2-6926-48bc-8420-1a199a96ac50 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Blind image deblurring using dark channel prior
Reference 35
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Observation 0efefea6-06d9-4973-aa95-0b44ecbd823b · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Promptir: Prompting for all-in-one image restoration
Reference 36
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Observation 7aef5685-bc10-4a01-8399-b20dc8454c65 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration From sparse to soft mixtures of experts
Reference 37
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Observation 1ef733f4-b396-44f3-9ba4-8d8a45539594 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration En- hanced pix2pix dehazing network
Reference 38
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Observation 03b6110f-cdb5-427f-831c-e2821dc16e68 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Mixture-of- depths: Dynamically allocating compute in transformer-based language models, 2024
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Complexity Experts are Task-Discriminative Learners for Any Image Restoration Progressive image deraining networks: A better and simpler baseline
Reference 40
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Observation 22350823-c804-4ce6-a68a-abfd8c349c9d · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Gated fusion network for single image dehazing
Reference 41
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Observation d8fafa70-bfba-48ad-b69c-0abc96de5d45 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Single image dehazing via multi-scale convolutional neural networks with holistic edges
Reference 42
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Observation 92bbec9c-177e-4681-ba6f-96b394d35a20 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Scaling vision with sparse mixture of experts
Reference 43
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Observation 84bdd8da-a1be-4551-9ec2-fe65d76bdf77 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration U-Net: Convolutional networks for biomedical image segmentation
Reference 44
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Observation a98944d8-ff57-48c9-ba9b-7a36b6cb39bc · outbound
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Observation f1b4b120-37f6-428a-a2ed-84f9d4c072fb · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Outra- geously large neural networks: The sparsely-gated mixture- of-experts layer, 2017
Reference 46
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Complexity Experts are Task-Discriminative Learners for Any Image Restoration Mem- net: A persistent memory network for image restoration
Reference 47
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Reference 48
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Observation 063656d0-2b8e-498d-ba39-a8978c75b34b · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Transweather: Transformer-based restoration of images degraded by adverse weather conditions
Reference 49
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Complexity Experts are Task-Discriminative Learners for Any Image Restoration Promptre- storer: A prompting image restoration method with degrada- tion perception
Reference 50
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Observation 11b1fa3d-201e-40dc-91b7-851a67114fd1 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Gridformer: Residual dense transformer with grid structure for image restoration in adverse weather conditions
Reference 51
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Complexity Experts are Task-Discriminative Learners for Any Image Restoration Deep Retinex Decomposition for Low-Light Enhancement
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Reference 54
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Reference 55
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Reference 56
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Reference 57
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Observation bd31c57c-2fd7-41c0-bb89-a5eb12031f95 · outbound
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Reference 58
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Reference 59
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Reference 60
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Complexity Experts are Task-Discriminative Learners for Any Image Restoration Efficient Degradation-aware Any Image Restoration
Reference 62
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Observation 0432b0eb-53e7-4f0f-af80-a4ccff49562d · outbound
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Reference 63
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Observation 5a013ff1-23c4-4fe4-8ef0-ea87a342a039 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Multi-stage progressive image restoration
Reference 64
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Reference 65
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Reference 66
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Complexity Experts are Task-Discriminative Learners for Any Image Restoration Learning deep cnn denoiser prior for image restoration
Reference 67
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Observation 91801b27-1f8d-4b58-8f37-d238c034bf86 · outbound
Complexity Experts are Task-Discriminative Learners for Any Image Restoration Comprehensive and delicate: An efficient transformer for image restoration
Reference 69
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Observation c55b420f-4b43-448b-927f-3c2b9fd05cee · outbound
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Reference 71
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Reference 72
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Observation f4a63c22-0f2c-40bd-b888-710d6657f5b8 · inbound
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Reference 48
Source-reported events for the cited work
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