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Paper Citation Record · LEDGER

Complexity Experts are Task-Discriminative Learners for Any Image Restoration

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.

pith.paper-citation-record.v1
2411.18466 v2

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:16:39.741639Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:56.883143Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:27:57.087060Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact1
  • verified fuzzy58
  • unresolved13
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation daf89686-e669-4c75-b106-7e035f5324d7 · outbound

This paper cites Multimodal prompt perceiver: Empower adap- tiveness generalizability and fidelity for all-in-one image restoration.

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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unresolved
no resolver link, observed 2026-08-12T11:16:39.382384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 40edcdb3-85a0-4f63-a636-0dac4a915dc3 · outbound

This paper cites Contour detection and hierarchical image segmen- tation.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Contour detection and hierarchical image segmen- tation

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.830174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.388000Z digest=sha256:0fa1a909a8275ea9e4562160f9d7cfb8a754e9c5c4864455a9ee92ed75dfb086

Observation 2e92b6d6-80c9-4702-9135-47c7792dbad7 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 3

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no resolver link, observed 2026-08-12T11:16:39.392601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.392601Z digest=sha256:ab38ef46672d90a3d4f6f1c004bf47f75e0a0b523abaccb7728f4bcef1bda6db

Observation f0415a74-209d-4f5f-84a2-8431339ef96e · outbound

This paper cites Non-local image dehazing.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Non-local image dehazing

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.817545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.398146Z digest=sha256:1097d8dccd4cc4849680fa5438bb57603b59422149889291bcf401f686d8cc9c

Observation e237fdfc-7fb8-4a21-b93b-30f766163e52 · outbound

This paper cites Dehazenet: An end-to-end system for single image haze removal.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Dehazenet: An end-to-end system for single image haze removal

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.805091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.403062Z digest=sha256:c06cd82fd2f5359b8e720e4a0cdb82e78aa9c5e920bdba16e7fecd3b1006120e

Observation 15df6754-6c1a-4308-be58-02ed4f561875 · outbound

This paper cites Simple baselines for image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Simple baselines for image restoration

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.792135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.407320Z digest=sha256:dce78d1f302d28afa1c4c56c8efbd6d8f9239b5c4173dbdc532a567b1b1340e9

Observation 2053a915-f883-44bf-b607-a590b4d9b0e4 · outbound

This paper cites Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removal.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removal

Reference 7

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verified exact
local_arxiv, observed 2026-08-12T11:16:39.899932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.411385Z digest=sha256:b1bb69f8f3789eeac67c0c02331b918ef5e9ec9565c1d6a70427f57c98be29f6

Observation 0ff2e68f-b209-488c-a7bf-9fba6aed3b2c · outbound

This paper cites Cross aggregation transformer for image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Cross aggregation transformer for image restoration

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.779847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.417275Z digest=sha256:2a4b78a8b716cd0d68b8c0852ca8b847e51f6ca7ea2a651b1fb564d43ffc9576

Observation 75c53d98-5d21-409d-848b-821bfdde20f4 · outbound

This paper cites In- structir: High-quality image restoration following human instructions.

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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verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.766865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.421510Z digest=sha256:ff6783cc0301aeeb6a17750cacb936e780a02c20d00a63dfcdc719c4a2e4eba5

Observation 6731ef62-6412-4055-b625-06cc1e5360b6 · outbound

This paper cites An application performance optimization model of mobile augmented reality based on hd restoration.

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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verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.754042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.427002Z digest=sha256:1b283da87e372d2c1fc3cea09f02ccc0fdfdbe4290312e0c38b783d4d6787c58

Observation 07d4f5c4-0ae4-457c-900a-440ccd0ff26b · outbound

This paper cites Fd-gan: Generative adversarial networks with fusion- discriminator for single image dehazing.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Fd-gan: Generative adversarial networks with fusion- discriminator for single image dehazing

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.740880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.432099Z digest=sha256:c8e12159791c5665ee23688894e0543d15a2c03123112549356017d1a5b5012d

Observation 9982c34a-542f-4e70-a49a-1311dcb2035a · outbound

This paper cites Uniprocessor: A text-induced unified low- level image processor.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Uniprocessor: A text-induced unified low- level image processor

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.727549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.436738Z digest=sha256:e3f321e313fff128208937e0a269fa93baed41b0d59ede1251701db39b0a40c3

Observation d2ba3e8d-97b8-42db-8836-2214ada4060f · outbound

This paper cites A general decoupled learning framework for parameterized image operators.

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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verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.714073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.441422Z digest=sha256:cfe548c11a96962f6b12d1b22cbe40d820a3320f1b2efd009c6c69afc18a06a9

Observation 7a3a6269-09e8-433d-8524-ffce2df53896 · outbound

This paper cites Dy- namic scene deblurring with parameter selective sharing and nested skip connections.

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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verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.701623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.445884Z digest=sha256:12dc12a990f5c76107697a13f4669965544bb862daa0c0b8ecdfbe31f48fbcab

Observation e5c49d9d-bb66-44ac-8050-16f035b5812a · outbound

This paper cites Virtual restoration of deteriorated reli- gious heritage objects using augmented reality technologies.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Virtual restoration of deteriorated reli- gious heritage objects using augmented reality technologies

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.687101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.452137Z digest=sha256:1a05f6cbfd60e09b4836d177f612470120c021eb34b73c40109403170bf92631

Observation c7ee62c3-e276-43cb-b29e-6f53e9c00e00 · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Mambair: A simple baseline for image restoration with state-space model

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.674427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.457228Z digest=sha256:4c2547b25d64fc7c9a6b29f198a88f34fdea637dbb3804c44e5b52b285530b58

Observation 9a985bfd-b301-41c2-a74c-7716d62f3c5e · outbound

This paper cites Onerestore: A universal restoration framework for com- posite degradation.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Onerestore: A universal restoration framework for com- posite degradation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.661649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.461850Z digest=sha256:a11a28b842ec03a9a861b7d5c305491410f4b80c22ca5dfa49b2e8de47d98680

Observation 6eeb7fe9-36c1-49c0-a387-5b5237b13d90 · outbound

This paper cites Multi-scale progressive fusion network for single image deraining.

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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unresolved
no resolver link, observed 2026-08-12T11:16:39.467255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.467255Z digest=sha256:5255924caf03e6153597c95a9e61f7a98f7dd473e1d16aa09fb86e68791bdbe5

Observation b17ab974-d5a9-48ae-a945-63928d67eaca · outbound

This paper cites AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion

Reference 19

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unresolved
no resolver link, observed 2026-08-12T11:16:39.471596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.471596Z digest=sha256:35ffb7d5ecd0d56041c38416a2aedd0d309cce7bea5b7c9f142036e700e55d86

Observation 13371632-b497-46ed-a536-e65d3d35e99a · outbound

This paper cites Kingma and Jimmy Ba.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Kingma and Jimmy Ba

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.637799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.475882Z digest=sha256:79a280fd9fafe2652252689656958a0f6dd0c86236bcc0e12dc4530175d2e5ce

Observation a8442d90-2db1-4b9a-bf9c-585155398a82 · outbound

This paper cites Efficient frequency domain-based trans- formers for high-quality image deblurring.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Efficient frequency domain-based trans- formers for high-quality image deblurring

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.622430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.482752Z digest=sha256:459d9f79f91de60a1940d3fccaaeb225a722e0b99dd1297f88533d46ea2eec3d

Observation b4368389-aec9-4473-89e1-157a8218e403 · outbound

This paper cites Noise2Noise: Learning Image Restoration without Clean Data.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Noise2Noise: Learning Image Restoration without Clean Data

Reference 22

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no resolver link, observed 2026-08-12T11:16:39.487035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.487035Z digest=sha256:dce158161d2b10fa3fcf092fdae67c7adf7b7045f65087224065fd6c8da64a60

Observation 5f1b5eb8-1f5c-4aec-aff7-baed6e768165 · outbound

This paper cites Benchmarking single- image dehazing and beyond.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Benchmarking single- image dehazing and beyond

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.610313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.491936Z digest=sha256:b0190a58d547bf255a2bbc85f3074a112699850c0f5fc12db19ba8dec0ea3657

Observation d713e637-fe99-4ac6-ae22-6405090e4596 · outbound

This paper cites All-In-One Image Restoration for Unknown Corruption.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration All-In-One Image Restoration for Unknown Corruption

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.598346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.497443Z digest=sha256:a7515ebb0b08375f60cbece982b0734f23862964262b161b53a880e05f88beb6

Observation 4ac6eb05-9deb-4e43-8347-1125e3ffc374 · outbound

This paper cites Prompt-In-Prompt Learning for Universal Image Restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Prompt-In-Prompt Learning for Universal Image Restoration

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T11:16:39.503437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.503437Z digest=sha256:6000f7c1c0187b7a6deac33810af7c71e7f547a2b88bd0c1bbca5567513830cc

Observation 458fc142-71ea-4268-a8db-310e3ba42aed · outbound

This paper cites Swinir: Image restoration using swin transformer.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Swinir: Image restoration using swin transformer

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.586193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.508432Z digest=sha256:594539339d0c37fe3ad75551447c50699a39871e154b91157d9987a1dcf4e771

Observation 49a764e8-8ebc-46f5-90d0-fcb3922de9c7 · outbound

This paper cites Tape: Task-agnostic prior embedding for image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Tape: Task-agnostic prior embedding for image restoration

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.572615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.512925Z digest=sha256:4bc6f710f399454a0ef0759449398623f42b87248c352586c0756708ba72d20b

Observation e02993b0-92db-410b-b760-c253035287c7 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Swin transformer: Hierarchical vision transformer using shifted windows

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T11:16:39.518278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.518278Z digest=sha256:380573ca6d37896359a733e19e2a112f7370f13fbf14be2ed874a5c44c843c25

Observation d8a7fd32-9974-44d4-ae7e-ecfd66be1dad · outbound

This paper cites WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:16:39.523072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.523072Z digest=sha256:5f25ad3842fbfbc78ff21cc5cdc6093d7a74acc541f360ac09c22e7b27583bef

Observation 20862a96-9b82-4f07-87d8-88f70ae61d34 · outbound

This paper cites Controlling vision-language models for multi-task image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Controlling vision-language models for multi-task image restoration

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.550259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.528475Z digest=sha256:f9317c581d49604b0b055b930e8197088c313d20291b9cfccc5781278bb8bdcc

Observation a5cbcfce-24f0-4393-9387-c94f97674c7b · outbound

This paper cites Waterloo exploration database: New challenges for image quality as- sessment models.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Waterloo exploration database: New challenges for image quality as- sessment models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.534868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.534375Z digest=sha256:a96b0701ead172440daf44977626a8e2b0bfea112fbe4c7a3b807d577cdd55e8

Observation e98ef3bb-cc35-4c5f-838f-29956fa74b49 · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.520934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.546698Z digest=sha256:806df31c7e4206fcd3a8f86099cd95aedf0883da1ce1656000f264099a2e7230

Observation 8ed9d71b-ec14-466e-8666-8961a7092340 · outbound

This paper cites Deep generalized unfolding networks for image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Deep generalized unfolding networks for image restoration

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.507686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.550916Z digest=sha256:e47bfd38f4cd4fad690bd41ac8bea6be484d10038d4aa6f72071c64a3de521fb

Observation c27c94cf-76cc-439a-84b8-0e85d6fee8d8 · outbound

This paper cites Deep multi-scale convolutional neural network for dynamic scene deblurring.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.495692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.555763Z digest=sha256:66963a88dc2079cc424bd711bd24d774617d0eaefd657d9bba00f7c9b09578df

Observation 7798f5c2-6926-48bc-8420-1a199a96ac50 · outbound

This paper cites Blind image deblurring using dark channel prior.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Blind image deblurring using dark channel prior

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.483378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.560436Z digest=sha256:e2a3f375d63396056a31190017758d91736329451261baccd62dfdf8db886e9b

Observation 0efefea6-06d9-4973-aa95-0b44ecbd823b · outbound

This paper cites Promptir: Prompting for all-in-one image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Promptir: Prompting for all-in-one image restoration

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.470492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.566112Z digest=sha256:8af5fb53225ccbd2dba949a89db159b1e8151ac3775f13ae2c906d3d0081cb57

Observation 7aef5685-bc10-4a01-8399-b20dc8454c65 · outbound

This paper cites From sparse to soft mixtures of experts.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration From sparse to soft mixtures of experts

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.457863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.570668Z digest=sha256:b36e1d43b7660ca3878a5fbb822a11359dc6c6c21006da156ecaa94e862457ff

Observation 1ef733f4-b396-44f3-9ba4-8d8a45539594 · outbound

This paper cites En- hanced pix2pix dehazing network.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration En- hanced pix2pix dehazing network

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.444664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.574691Z digest=sha256:2a2147124bbfee05035fc7b35bca7abf222544df248281b183ed904ad35fc838

Observation 03b6110f-cdb5-427f-831c-e2821dc16e68 · outbound

This paper cites Mixture-of- depths: Dynamically allocating compute in transformer-based language models, 2024.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Mixture-of- depths: Dynamically allocating compute in transformer-based language models, 2024

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.430116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.578912Z digest=sha256:831130443a441d6c85d2fed814b63bd2630e7af9500187a608e10d58656ba038

Observation 8b30797a-d981-42f1-b1ad-f35b32a2670b · outbound

This paper cites Progressive image deraining networks: A better and simpler baseline.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Progressive image deraining networks: A better and simpler baseline

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.416427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.583094Z digest=sha256:c75effd72aa44a38b7c6a294f669d8125686d67d081849cf62e79b52205ea723

Observation 22350823-c804-4ce6-a68a-abfd8c349c9d · outbound

This paper cites Gated fusion network for single image dehazing.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Gated fusion network for single image dehazing

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.404389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.587021Z digest=sha256:5e709497b390f576c0b2f1356dd8d8cdedf74fa09754db08a55264eebbe50313

Observation d8fafa70-bfba-48ad-b69c-0abc96de5d45 · outbound

This paper cites Single image dehazing via multi-scale convolutional neural networks with holistic edges.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Single image dehazing via multi-scale convolutional neural networks with holistic edges

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.390520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.591942Z digest=sha256:61e99a7040c1420858e28e3bbebc6a552beeba289ff10b5d71237cd8f29a2906

Observation 92bbec9c-177e-4681-ba6f-96b394d35a20 · outbound

This paper cites Scaling vision with sparse mixture of experts.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Scaling vision with sparse mixture of experts

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.377281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.595958Z digest=sha256:d3262768f12db813499d2556dfd840611e8f92497f0cfc47503dc6db567e54ab

Observation 84bdd8da-a1be-4551-9ec2-fe65d76bdf77 · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration U-Net: Convolutional networks for biomedical image segmentation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.362817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.599901Z digest=sha256:aecc894c3963b22e2c825a6dc6fee899efba83dfc65326d0036139b47f6c2c83

Observation a98944d8-ff57-48c9-ba9b-7a36b6cb39bc · outbound

This paper cites Augmented reality for restoration/reconstruction of artefacts with artistic or histori- cal value.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Augmented reality for restoration/reconstruction of artefacts with artistic or histori- cal value

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.348658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.604230Z digest=sha256:350b83def8f0a1c3739b36a97ee0592e6fab697c3de83f3477349adb69a11d2a

Observation f1b4b120-37f6-428a-a2ed-84f9d4c072fb · outbound

This paper cites Outra- geously large neural networks: The sparsely-gated mixture- of-experts layer, 2017.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.334193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.607945Z digest=sha256:4afe95bbd50eccbf69e9bc7f1c154a97d6c77f58d615d09b89d22d8e5a0ad81f

Observation bad182e3-5185-497d-bddd-cfa5ee5191e7 · outbound

This paper cites Mem- net: A persistent memory network for image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Mem- net: A persistent memory network for image restoration

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.321682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.611755Z digest=sha256:5fcd6e7020ec6cb261a385b99967ffd843106e70e62a41a17e67aa9a8b8b3c21

Observation b889070c-2ca1-42ce-ab60-df62d8ef3ca3 · outbound

This paper cites Image denois- ing using deep cnn with batch renormalization.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Image denois- ing using deep cnn with batch renormalization

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.308431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.615447Z digest=sha256:a52d0c870f794dcdb015be3e0e142baf3aafff1ff178810ded1be7869769bbf9

Observation 063656d0-2b8e-498d-ba39-a8978c75b34b · outbound

This paper cites Transweather: Transformer-based restoration of images degraded by adverse weather conditions.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Transweather: Transformer-based restoration of images degraded by adverse weather conditions

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.293802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.619754Z digest=sha256:c5b16cfd3385582abf1fdcae7da90cb7c99e2edb6721fd23064064ad2e6cee23

Observation 6d362bef-aa9c-4432-b494-c6442c5cb9b5 · outbound

This paper cites Promptre- storer: A prompting image restoration method with degrada- tion perception.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Promptre- storer: A prompting image restoration method with degrada- tion perception

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.278975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.624926Z digest=sha256:88f36967ad98dd99d4ab32f1355d90679e1224c42e89c3806e00a3c954f3cd77

Observation 11b1fa3d-201e-40dc-91b7-851a67114fd1 · outbound

This paper cites Gridformer: Residual dense transformer with grid structure for image restoration in adverse weather conditions.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.259692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.629029Z digest=sha256:f2be255cd6408a4d0175394679207bcbb763a692ebf11fde66e2ef66f60d50c3

Observation 5c133e2f-ad1e-4739-b9dd-3d71ec6aab47 · outbound

This paper cites Uformer: A general u-shaped transformer for image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Uformer: A general u-shaped transformer for image restoration

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.232768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.639663Z digest=sha256:d7bc6bd372dfacfc86af3b5f18a7217170d743d0cae6cb51699459c9128aa29a

Observation 315719b9-6545-4c5f-b753-90e64dfeb024 · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Deep Retinex Decomposition for Low-Light Enhancement

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T11:16:39.644498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.644498Z digest=sha256:4882f4f97a297d39a2d644e4270d02e81280c9197c75fef52632acb00c230255

Observation 950a6098-f303-4e83-a8c7-84357a7f7981 · outbound

This paper cites Har- mony in diversity: Improving all-in-one image restoration via multi-task collaboration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Har- mony in diversity: Improving all-in-one image restoration via multi-task collaboration

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.213302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.650131Z digest=sha256:a85bd12bc66a3c9b913c70e446a66a909b6080641fabd1ef2595ecbd42264226

Observation 62808cf6-0133-4f37-a5b3-4d2d5fdcfc31 · outbound

This paper cites Contrastive learning for compact single image dehazing.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Contrastive learning for compact single image dehazing

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.195623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.655198Z digest=sha256:a78b047a210fae455139427ce41b56712ab617c93f426a4b7af853a65e9a3540

Observation 191cd060-1d2e-4524-857c-7fa674aaee2e · outbound

This paper cites Learning texture transformer network for image super-resolution.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Learning texture transformer network for image super-resolution

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.177129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.659519Z digest=sha256:1d3b8ce4717e073632b4de84f2739becbf2125ef7084fdafd3a404d7718ca16d

Observation f4fb9052-bbe7-498c-b16e-b38461615bef · outbound

This paper cites Language- driven all-in-one adverse weather removal.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Language- driven all-in-one adverse weather removal

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.157005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.663706Z digest=sha256:7454d62011a7aa8964b5a08fd347557f2ec1b0fabd10be931f16069bcd7199fa

Observation bd31c57c-2fd7-41c0-bb89-a5eb12031f95 · outbound

This paper cites All-in-one medical image restoration via task-adaptive routing.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration All-in-one medical image restoration via task-adaptive routing

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.134089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.671278Z digest=sha256:1b629332322d1642063591297272edaac52c3d0b19e121e6963e12ce79d5e9ee

Observation 9c3283b5-4acb-454c-9e2f-6b5d3a84581a · outbound

This paper cites Uncertainty guided multi- scale residual learning-using a cycle spinning cnn for single image de-raining.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Uncertainty guided multi- scale residual learning-using a cycle spinning cnn for single image de-raining

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.117007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.677264Z digest=sha256:1ec7fde98192452ff44877b419492511aa3886b4bc7383df5ce833f8a67b87a2

Observation 5af695ed-dfb4-43bf-b150-e54b040f33d9 · outbound

This paper cites Path-restore: Learning network path se- lection for image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Path-restore: Learning network path se- lection for image restoration

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.097470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.682494Z digest=sha256:2817db4665963da25d57a4200ec8254e3170ad4e6183cb2a80569fda05da2ac5

Observation df430eb0-0285-419b-be54-cd081d6f2e84 · outbound

This paper cites Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T11:16:39.686602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.686602Z digest=sha256:57a1f02a21265d63ba3d3d3f0d50a43aecb118bab2dbbcd6482e9812c2fd1e8e

Observation 81870556-fec5-48d4-acdb-2005489aea6c · outbound

This paper cites Efficient Degradation-aware Any Image Restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Efficient Degradation-aware Any Image Restoration

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T11:16:39.690994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.690994Z digest=sha256:179dc46a548e8a6a9f3d6ebd83c077b19d1b0118f06974f409ddd470e6813a4c

Observation 0432b0eb-53e7-4f0f-af80-a4ccff49562d · outbound

This paper cites See more details: Efficient image super- resolution by experts mining.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration See more details: Efficient image super- resolution by experts mining

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.076681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.696127Z digest=sha256:f8b0301f2f432a7ac4b078a26a758176ee4f99444bb9d7adaba4bf9d80903814

Observation 5a013ff1-23c4-4fe4-8ef0-ea87a342a039 · outbound

This paper cites Multi-stage progressive image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Multi-stage progressive image restoration

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-12T11:16:39.700539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.700539Z digest=sha256:acb6b6c9547fa9630cc6d95970ba510410bb1c0349a37d8f4d4b893aaa838c84

Observation b2db36b6-eee4-4e0a-842e-1e566c53c6c8 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Restormer: Efficient transformer for high-resolution image restoration

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.045097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.705981Z digest=sha256:c46b521e8526d108c6e447244b9f17ab1f15e38f3c47d51e1f93f3424873c7e9

Observation 2d8ea762-8196-4cb2-a478-20731e3d8396 · outbound

This paper cites Ingredient-oriented multi- degradation learning for image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Ingredient-oriented multi- degradation learning for image restoration

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:40.024888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.710503Z digest=sha256:0df28a570fd5cc1429a910ee231963229086e12879efc4c330b5974e04133dc2

Observation 0a1a973a-fffa-4ffe-8182-ba691b8628d6 · outbound

This paper cites Learning deep cnn denoiser prior for image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Learning deep cnn denoiser prior for image restoration

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:39.996443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.716004Z digest=sha256:0f1826442a5a4acf7dbb6b3c225af9af4355d7ef735e6f9e41d99a660e2e4930

Observation 5b111fde-f87f-476f-ad4f-88e3858e8f40 · outbound

This paper cites Residual Non-local Attention Networks for Image Restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Residual Non-local Attention Networks for Image Restoration

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-12T11:16:39.721335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:16:39.721335Z digest=sha256:2f4b03191245f71d471d6dc5960fb4f9c4f0f71b40ed6d39746cd781fa7fbc44

Observation 91801b27-1f8d-4b58-8f37-d238c034bf86 · outbound

This paper cites Comprehensive and delicate: An efficient transformer for image restoration.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Comprehensive and delicate: An efficient transformer for image restoration

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:39.981610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.726527Z digest=sha256:bcb95c45cbe946346ef5851f6501cf965d4efe63363a96063bea36376b469a6e

Observation c55b420f-4b43-448b-927f-3c2b9fd05cee · outbound

This paper cites Mixture-of-experts with expert choice routing.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Mixture-of-experts with expert choice routing

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:39.964893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d5df0c6e-8df6-4243-ab0e-578b092cfd34 · outbound

This paper cites Learning weather- general and weather-specific features for image restoration under multiple adverse weather conditions.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Learning weather- general and weather-specific features for image restoration under multiple adverse weather conditions

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:39.944938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.735944Z digest=sha256:1fea196f2910b38dd0943b74920753def6c9e29f141d84d0ee907e63b97bd763

Observation e9b97f5c-3553-4e61-9d28-512a70da0d69 · outbound

This paper cites Restoring vision in adverse weather conditions with patch-based denoising diffusion models.

Complexity Experts are Task-Discriminative Learners for Any Image Restoration Restoring vision in adverse weather conditions with patch-based denoising diffusion models

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:16:39.926650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T11:16:39.741639Z digest=sha256:61532aa73ba36d1f2aca7ce0bd4dc972498ca2251c42cda87e9aa23fd6f9e60e

Pith citing papers

Observation f4a63c22-0f2c-40bd-b888-710d6657f5b8 · inbound

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration cites this paper.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Complexity Experts are Task-Discriminative Learners for Any Image Restoration

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:27:57.090834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:27:56.883143Z digest=sha256:319e21839c28da516cc170eaba73b5e5272b67c515c7d4bce234db55455aac4f