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Paper Citation Record · LEDGER

MatIR: A Hybrid Mamba-Transformer Image Restoration Model

As of 23 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2501.18401.

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

pith.paper-citation-record.v1
2501.18401 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:40:12.188902Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:56.890698Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T06:40:40.208650Z

Reference resolution

71 of 71 outbound references displayed

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External citation measurements

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Outbound references

Observation d681c21c-abea-4685-88d6-67f1c68cc5f0 · outbound

This paper cites A high-quality denoising dataset for smartphone cameras.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model A high-quality denoising dataset for smartphone cameras

Reference 1

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Observation 48111559-a37a-46e5-ae95-0ff3f940d68a · outbound

This paper cites Defocus de- blurring using dual-pixel data.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Defocus de- blurring using dual-pixel data

Reference 2

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Observation af9646ff-65f2-4e06-ab88-4bf671cffd47 · outbound

This paper cites Learning to re- duce defocus blur by realistically modeling dual-pixel data.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Learning to re- duce defocus blur by realistically modeling dual-pixel data

Reference 3

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Observation 378d236c-ff65-4116-ab16-a68375655224 · outbound

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

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Contour detection and hierarchical image segmen- tation

Reference 4

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Source-reported events for the cited work

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Observation e75ea2a4-be4c-48f9-a2fd-65fdccd9cd7e · outbound

This paper cites Low-complexity single-image super-resolution based on nonnegative neighbor embedding.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Low-complexity single-image super-resolution based on nonnegative neighbor embedding

Reference 5

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Observation c895fe16-3960-4d5e-8c8e-9e0c75ca3666 · outbound

This paper cites Pre-trained image processing transformer.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Pre-trained image processing transformer

Reference 6

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Source-reported events for the cited work

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Observation 972a59b1-538b-40e5-a19b-64b3b3052eab · outbound

This paper cites Hat: Hybrid attention transformer for image restoration.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Hat: Hybrid attention transformer for image restoration

Reference 7

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Source-reported events for the cited work

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Observation cef4f8ab-c75a-4181-8b93-738479191572 · outbound

This paper cites Activating more pixels in image super-resolution transformer.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Activating more pixels in image super-resolution transformer

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 354ab379-2854-4585-91b2-2c0a1bb0106d · outbound

This paper cites Cross aggregation transformer for image restoration.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Cross aggregation transformer for image restoration

Reference 9

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Source-reported events for the cited work

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Observation 84d0585e-f22b-405a-ad4d-893e584f778d · outbound

This paper cites Dual aggregation transformer for image super-resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Dual aggregation transformer for image super-resolution

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 29eb8660-082b-4e7c-b162-3b4e76d44374 · outbound

This paper cites Twins: Re- visiting the design of spatial attention in vision transformers,.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Twins: Re- visiting the design of spatial attention in vision transformers,

Reference 11

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Source-reported events for the cited work

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Observation d75d1dae-d512-4758-a2c4-72e04e12f402 · outbound

This paper cites Second-order attention network for single image super-resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Second-order attention network for single image super-resolution

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 302cd2c5-55b1-417d-a349-aa1a48f358eb · outbound

This paper cites Second-order attention network for single image super-resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Second-order attention network for single image super-resolution

Reference 13

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verified fuzzy
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Source-reported events for the cited work

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Observation 89d73917-877e-46cd-8878-b4fc606cb7eb · outbound

This paper cites Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality

Reference 14

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Source-reported events for the cited work

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Observation d8e895ab-0a24-4932-94b0-de72b011b22d · outbound

This paper cites Scaling up your kernels to 31x31: Revisiting large kernel design in cnns.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Scaling up your kernels to 31x31: Revisiting large kernel design in cnns

Reference 15

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Source-reported events for the cited work

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Observation 999faaa6-8a99-43a0-af41-a4456e700036 · outbound

This paper cites Learning a deep convolutional network for image super- resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Learning a deep convolutional network for image super- resolution

Reference 16

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Source-reported events for the cited work

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Observation 40d47828-24e3-4944-aea0-704ef00e36d8 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

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Source-reported events for the cited work

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Observation 41d184df-6ea8-42a7-9a54-70254fb7d222 · outbound

This paper cites Kodak lossless true color image suite.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Kodak lossless true color image suite

Reference 18

Resolution
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Source-reported events for the cited work

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Observation bee692ad-33dd-4f63-b8ef-731d0b6231ec · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 19

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Source-reported events for the cited work

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Observation 8a2da31b-5701-478c-bb6c-648031506f0d · outbound

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

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Mambair: A simple baseline for image restoration with state-space model

Reference 20

Resolution
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Source-reported events for the cited work

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Observation 1802cbe2-c65a-4107-ba6c-ff503811e273 · outbound

This paper cites Single image super-resolution from transformed self-exemplars.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Single image super-resolution from transformed self-exemplars

Reference 21

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Source-reported events for the cited work

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Observation cab06604-7289-481c-989e-4e40ecbefd79 · outbound

This paper cites Edge-based defocus blur estimation with adaptive scale selection.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Edge-based defocus blur estimation with adaptive scale selection

Reference 22

Resolution
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Source-reported events for the cited work

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Observation 97b45ebb-9f50-4c6d-bb53-d1b54f9c9d6e · outbound

This paper cites Accu- rate image super-resolution using very deep convolutional networks.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Accu- rate image super-resolution using very deep convolutional networks

Reference 23

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Source-reported events for the cited work

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Observation bb99d937-6280-4e58-8d63-9d213ebf614b · outbound

This paper cites Deeply- recursive convolutional network for image super-resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Deeply- recursive convolutional network for image super-resolution

Reference 24

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Source-reported events for the cited work

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Observation ac8bdeee-0738-4c76-a1e8-13c09b38c204 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Adam: A Method for Stochastic Optimization

Reference 25

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Source-reported events for the cited work

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Observation b25fec22-1378-476a-840d-0fb422b2d487 · outbound

This paper cites Deep defocus map estimation using domain adaptation.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Deep defocus map estimation using domain adaptation

Reference 26

Resolution
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Source-reported events for the cited work

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Observation b752bc83-23c4-47a3-8fa4-87d59a274917 · outbound

This paper cites Iterative filter adaptive network for single image defocus deblurring.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Iterative filter adaptive network for single image defocus deblurring

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 468b6c38-6d17-448a-920e-e6a1379f21cb · outbound

This paper cites Efficient and explicit modelling of image hierarchies for image restora- tion.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Efficient and explicit modelling of image hierarchies for image restora- tion

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 6e541506-4ccd-4c0d-9961-047fd4b5a4f6 · outbound

This paper cites Swinir: Image restoration using swin transformer.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Swinir: Image restoration using swin transformer

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 42bf4e47-a150-4245-ae2e-07a1398c327a · outbound

This paper cites Enhanced deep residual networks for single image super-resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Enhanced deep residual networks for single image super-resolution

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a633c6fa-d033-4ced-adcb-044494876bda · outbound

This paper cites Enhanced deep residual networks for single image super-resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Enhanced deep residual networks for single image super-resolution

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 48f2dfca-e8dd-45ed-bdec-a989f137b3a3 · outbound

This paper cites VMamba: Visual State Space Model.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model VMamba: Visual State Space Model

Reference 33

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Source-reported events for the cited work

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Observation 6c4114fa-1ec2-4fd5-a441-6dbef8892f56 · outbound

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

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Swin transformer: Hierarchical vision transformer using shifted windows

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b68823d-763d-4925-ab1b-69459ea0791d · outbound

This paper cites Understanding the effective receptive field in deep convo- lutional neural networks.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Understanding the effective receptive field in deep convo- lutional neural networks

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f9c570a7-4e3e-4d97-b3c9-5b0c6ff78388 · outbound

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

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Waterloo exploration database: New challenges for image quality as- sessment models

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e21da096-56a4-4e9d-a566-c3959fe954e3 · outbound

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

MatIR: A Hybrid Mamba-Transformer Image Restoration Model A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.323605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.028267Z digest=sha256:1692ca9e9cf6a138568fa08e3397d7f0a4bd6bad2d384066ffd545bc0d891bc4

Observation 2d200967-60dd-4132-9f5b-54514c3419a3 · outbound

This paper cites Sketch-based manga retrieval using manga109 dataset.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Sketch-based manga retrieval using manga109 dataset

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.308881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.032641Z digest=sha256:113fa91948407954fa963c8131d2cca4862b21c9d458b5b592133fc25a8a5e1c

Observation db6a989d-b350-4ded-88ae-09a7b900b3ee · outbound

This paper cites Image super-resolution with cross-scale non-local attention and exhaustive self- exemplars mining.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Image super-resolution with cross-scale non-local attention and exhaustive self- exemplars mining

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.294470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.037146Z digest=sha256:408ceeb8017c67df9c2f5f3be2d8efc2be18404003357d06ec8a767b1d91077c

Observation ed3fad1a-a343-4ec4-9ede-a2fb67993a47 · outbound

This paper cites Image super- resolution with non-local sparse attention.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Image super- resolution with non-local sparse attention

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.272434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.041827Z digest=sha256:072a58e47496a9650ce07e10170f266d536958a53f71d409f954e3f047fd0938

Observation 203e9dd9-64ef-457d-80d8-57b03b62c583 · outbound

This paper cites Image super- resolution with non-local sparse attention.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Image super- resolution with non-local sparse attention

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.256123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.046516Z digest=sha256:ddebeb241348ade1c2a90f85d2014288a674708aa406d3827a1b17410c12f584

Observation dc8f2488-8941-438c-94e1-10d93193ac6a · outbound

This paper cites Single Image Super-Resolution via a Holistic Attention Network, page 191–207.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Single Image Super-Resolution via a Holistic Attention Network, page 191–207

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.239257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.051073Z digest=sha256:4ab03c5ef4d2f840695b5e36243b6c512ebe660a0462684066bc6e9ffbd7347f

Observation c947c738-308b-4493-9098-085c2fa4d9ad · outbound

This paper cites Single image super-resolution via a holistic attention network.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Single image super-resolution via a holistic attention network

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.221721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.055621Z digest=sha256:a522ccc218d10ba641e7984f22866af2ef29dbaf12c1ff9327ab2de97b66c814

Observation 44c3648b-3092-4ba2-a580-1af11ab28f9d · outbound

This paper cites Benchmarking denoising al- gorithms with real photographs.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Benchmarking denoising al- gorithms with real photographs

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.205745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.060528Z digest=sha256:27371e9ef40dfd866d0e4c9f580f9389a18169c5fc6446927eb85537094da537

Observation 7f63b6a3-867a-4817-b190-4361ad985b99 · outbound

This paper cites CFAT: Unleashing TriangularWindows for Image Super-resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model CFAT: Unleashing TriangularWindows for Image Super-resolution

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-09T23:40:12.310234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.065062Z digest=sha256:799d780d2c24d0910b3c04da8c23a01d0f7698a5ed09a6a09bef510181445414

Observation cbf549cf-5b75-4d5c-a4a0-5f6219fa44d1 · outbound

This paper cites Adaptive consistency prior based deep network for image denoising.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Adaptive consistency prior based deep network for image denoising

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.188814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.069908Z digest=sha256:f6b5742936c9bd1bed7686c84fa3a341aff830ddb423689074812a84ddc03674

Observation 224eec8f-bcec-4f34-82b2-f2af2f41b7ae · outbound

This paper cites Just noticeable defocus blur detection and estimation.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Just noticeable defocus blur detection and estimation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.171468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.074537Z digest=sha256:0599637e43731e395098ed016676cd4e9a5d2a5efb4e32477ba2967e0adc3972

Observation 6ad399f6-8f27-4994-8ce5-16eb5a68f19d · outbound

This paper cites Single image defocus deblurring using kernel- sharing parallel atrous convolutions.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Single image defocus deblurring using kernel- sharing parallel atrous convolutions

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.155598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.079030Z digest=sha256:64cc34b26c05c5554666202bf99a286a7ecfe1cf469d7a5f6a7f4238d862ef77

Observation 0940e493-1069-4ab9-af10-b0343b96e04a · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T23:40:12.083280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:40:12.083280Z digest=sha256:8e738df74ea0e9b3046922f68c4bd6ba7602394f7b67aa1022d0aad6a17228db

Observation ac9b0483-f34a-4326-8e44-748591803703 · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model An Empirical Study of Mamba-based Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T23:40:12.087634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:40:12.087634Z digest=sha256:6c3257e26f1c61a59957e24d548061b28915de19d64fb75e1f79bcb2e09f58b7

Observation 60585ba4-4077-4271-8f02-b8dedaebba97 · outbound

This paper cites Omni aggregation networks for lightweight image super-resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Omni aggregation networks for lightweight image super-resolution

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.130248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.092465Z digest=sha256:53475371380488b44bf09c2802ad8cc9937ad470a04917aca854cfb5bd2ba249

Observation a97e51bf-e7e8-4467-9f9e-79f4c9353703 · outbound

This paper cites Pyra- mid vision transformer: A versatile backbone for dense predic- tion without convolutions.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Pyra- mid vision transformer: A versatile backbone for dense predic- tion without convolutions

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.114811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.097283Z digest=sha256:ee865e8530b636d1dab795fc75a4e384c97a61bd13bfe02c89700c2505216604

Observation ab4036e1-955f-4eac-a226-2675b398758b · outbound

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

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Uformer: A general u-shaped transformer for image restoration

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.098482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.101985Z digest=sha256:57069d4fd6b33a5dcc603370a4408069840930dd55c574347273c7dd589852d9

Observation 054e6777-4753-4049-990e-53308ac17c03 · outbound

This paper cites When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-09T23:40:12.272930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.106635Z digest=sha256:ee272f2fe2c7216bd8b287bcef33ffdc0e388b9009df0d3bfddd5e63c0c06173

Observation 419670ed-a250-4cb6-b22e-9a7c81faadbd · outbound

This paper cites Empowering Image Recovery_ A Multi-Attention Approach.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Empowering Image Recovery_ A Multi-Attention Approach

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-09T23:40:12.250689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.111416Z digest=sha256:7b4dcfc16868502d8d639ef028f19cd73932c11bed8ccb6e2dff9c9b8e440f51

Observation 759b29e9-78c7-49c3-8188-16823568213f · outbound

This paper cites Multi-stage progressive image restoration.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Multi-stage progressive image restoration

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.082697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.116212Z digest=sha256:4dde767a70cdcfef3bf9fc93e238ed6efed072e7465d731d300ec1d8c522d1d1

Observation 8896219b-04c4-46c6-9ffe-d277d89ffe2e · outbound

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

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Restormer: Efficient transformer for high-resolution image restoration

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-09T23:40:12.120724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:40:12.120724Z digest=sha256:89c0212a547626898b04f02021f3184bfac182c4adf8f4796ef025c0da7c5cc1

Observation 02818b5b-8618-4413-875e-e2f739840b8e · outbound

This paper cites On single image scale-up using sparse-representations.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model On single image scale-up using sparse-representations

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.057757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.125432Z digest=sha256:747829fd83b0e3f61fe1e6b8398c34636ac9424f6cfa0f8f3a04bf7f3509f858

Observation 5e92dc35-43ca-45a0-bbc3-c0e61b396f65 · outbound

This paper cites Accurate image restoration with attention retractable transformer.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Accurate image restoration with attention retractable transformer

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.043212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.129950Z digest=sha256:53ae68a14e6c8001e4f27268e596532928df1c14fb8026329e58ad1110cbb647

Observation c9c28156-7051-4a38-a523-a1f22146a412 · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.023202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.134570Z digest=sha256:b8cc688f56e43778a72b40ac25479c1ecab21d20d889480ab5fdb18dea295799

Observation 1bbd6646-b688-41a5-b24e-f5ff6b82ed85 · outbound

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

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Learning deep cnn denoiser prior for image restoration

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:23.006994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.139192Z digest=sha256:143ff75aea5fa3fa83e2d9b678c2d5980583bab5e42f176aa0c470300f5cd980

Observation 15a88821-06cf-4721-961d-8050cc7e5013 · outbound

This paper cites Ffdnet: Toward a fast and flexible solution for cnn-based image denoising.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Ffdnet: Toward a fast and flexible solution for cnn-based image denoising

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-09T23:40:12.143598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:40:12.143598Z digest=sha256:a41866d588a924bedd97ba4247d71aca7cba239bfde70de682ee9c7ddd61d402

Observation 25880d11-4a4a-44f3-b239-6d40617506c4 · outbound

This paper cites Plug-and-play image restora- tion with deep denoiser prior.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Plug-and-play image restora- tion with deep denoiser prior

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:22.981119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.148002Z digest=sha256:b497e5e7c970f42bf7024cd3f98a112cf0ed8f7f167c96821b580241796c8afd

Observation 1a50299e-e3e5-409a-b8d8-53f3bd0de55f · outbound

This paper cites Color demosaicking by local directional interpolation and nonlocal adaptive thresholding.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Color demosaicking by local directional interpolation and nonlocal adaptive thresholding

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:22.966561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.152654Z digest=sha256:69cb9409dcd2f0f1cfbdb52e060983b5f6add629b9a4ab12d5c68429f770aba2

Observation e2942b44-8912-4d28-9d95-dfefbb0c5296 · outbound

This paper cites Transcending the limit of local window: Ad- vanced super-resolution transformer with adaptive token dic- tionary.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Transcending the limit of local window: Ad- vanced super-resolution transformer with adaptive token dic- tionary

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:22.951196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.157063Z digest=sha256:e6eb0c28aa090e510ad8fb716e3461c3037cc6f7c2642e2710df8932e659501d

Observation 3eebb721-a5e6-48aa-9002-6b3b88ad32b5 · outbound

This paper cites Efficient long-range attention network for image super-resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Efficient long-range attention network for image super-resolution

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:22.934400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.161509Z digest=sha256:dc9d2819a049d63b06831e1ed8525d6dc8de9407b9923ee8f4d4da2d4ec4a8bf

Observation 18d6196c-4695-4bf7-b879-255b7220c6fd · outbound

This paper cites Image super-resolution using very deep residual channel attention networks.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Image super-resolution using very deep residual channel attention networks

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:22.917282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.165968Z digest=sha256:4ece897563d9cc7d29b79ef6b528ab51dc07ff131854c2185912df92f4d22354

Observation 12d88903-1571-4590-9370-e9f82f3159c2 · outbound

This paper cites Image Super-Resolution Using Very Deep Residual Channel Attention Networks, page 294–310.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Image Super-Resolution Using Very Deep Residual Channel Attention Networks, page 294–310

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:22.901965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.170989Z digest=sha256:789cd5ad897da8a1c9632cd300b4636a0cf51543a32af665f5c59b8be7aaf30e

Observation 3f153210-a301-4608-a179-a557f345f6c6 · outbound

This paper cites Residual dense network for image super-resolution,.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Residual dense network for image super-resolution,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:22.886076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.175292Z digest=sha256:97f0d0fdeba05c8f20ed08bc88bdaf68199385da785e8a6eccc698dd1e77da68

Observation 94015407-58b1-40f0-a0d0-9adc02927689 · outbound

This paper cites Residual dense network for image super-resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Residual dense network for image super-resolution

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:22.870981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.179786Z digest=sha256:d58209642256c4c7a9e2ee9dd732e64cc556c9a329952756d05535c9de7fc274

Observation 01c15888-a897-443e-98cf-faf59c366853 · outbound

This paper cites Cross-scale internal graph neural net- work for image super-resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model Cross-scale internal graph neural net- work for image super-resolution

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T23:40:22.855733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T23:40:12.184392Z digest=sha256:baac293b1e836d7d315958e9129cc0c485eeb23b378e80b73dd634aa03781efd

Observation 5ebe4d39-f353-4f86-981c-35997abc483e · outbound

This paper cites SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution.

MatIR: A Hybrid Mamba-Transformer Image Restoration Model SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-09T23:40:12.188902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:40:12.188902Z digest=sha256:f62da8a6598455d3856d7d9ab9fc9cbe1ad7e25208df920ebdb2cbe4f9d9e3f9

Pith citing papers

Observation b72bf1c9-a3b0-4f10-814d-e81a6f5a2fd2 · 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 MatIR: A Hybrid Mamba-Transformer Image Restoration Model

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:56.890698Z

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source=pdf_text observed=2026-08-07T05:27:56.890698Z digest=sha256:d1c1f5b156a67de3a01b4f664ec4a1d252ad00e3ba0527815a89e850760d9be4

Observation 197898b0-0c1f-4758-924d-99233ef59866 · inbound

Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models cites this paper.

Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models MatIR: A Hybrid Mamba-Transformer Image Restoration Model

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:40:40.210187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T18:15:14.469781Z digest=sha256:d931b5452c1c2c6555955eef4af1e9442b036f3132cbfff9ceec54b138b676ed