Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 2 inbound Pith citation observations for arXiv:2506.07814.

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

pith.paper-citation-record.v1
2506.07814 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:56.973964Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:57:24.371302Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

70 of 70 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98b48b67-3573-45b8-b5c3-f481e4245318 · outbound

This paper cites Efficient image dehazing with boundary constraint and contextual regularization,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Efficient image dehazing with boundary constraint and contextual regularization,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.820949Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 48b52209-7e39-4c4c-9591-0bae4f8bf8a9 · outbound

This paper cites Anchored neighborhood regression for fast example-based super-resolution,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Anchored neighborhood regression for fast example-based super-resolution,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.810027Z

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Observation ad4f0e85-6d89-425c-acba-ed426d3afb82 · outbound

This paper cites A fast single image haze removal algorithm using color attenuation prior,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration A fast single image haze removal algorithm using color attenuation prior,

Reference 3

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Observation 8e3b81ea-7746-412b-8602-4f8bc2c3d091 · outbound

This paper cites Single-image super-resolution using sparse regression and natural image prior,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Single-image super-resolution using sparse regression and natural image prior,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.793545Z

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Observation 25b1843f-ddde-4ea1-a574-443eae62cfaa · outbound

This paper cites Single image haze removal using dark channel prior,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Single image haze removal using dark channel prior,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.783737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cfa43628-6ae2-464e-92b4-709e4be497ab · outbound

This paper cites Bidirectional multi-scale implicit neural representations for image deraining,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Bidirectional multi-scale implicit neural representations for image deraining,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.772623Z

Source-reported events for the cited work

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Observation 2739bf35-3c35-44b6-a802-7c17981c3a17 · outbound

This paper cites Ucl-dehaze: toward real-world image dehazing via unsu- pervised contrastive learning,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Ucl-dehaze: toward real-world image dehazing via unsu- pervised contrastive learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.762659Z

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Observation c917832b-30d8-4449-aab5-16b31feb0992 · outbound

This paper cites Smartassign: Learning A smart knowledge assignment strategy for deraining and desnowing,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Smartassign: Learning A smart knowledge assignment strategy for deraining and desnowing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.752378Z

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Observation a8c3b768-f144-4a1c-b1d8-894304a53739 · outbound

This paper cites Apanet: Asymmetrical parallax attention network for efficient stereo image deraining,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Apanet: Asymmetrical parallax attention network for efficient stereo image deraining,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.741698Z

Source-reported events for the cited work

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Observation 96e22808-5765-4fd3-8a3f-74cc80cf9f00 · outbound

This paper cites Image desnowing via deep invertible separation,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Image desnowing via deep invertible separation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.731479Z

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Observation ce9c77c0-1207-4209-bd51-8faf63e9b471 · outbound

This paper cites All in one bad weather removal using architectural search,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration All in one bad weather removal using architectural search,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.720992Z

Source-reported events for the cited work

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Observation 04f27c6b-5e32-4472-9c07-3fe0fb2afbc1 · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Multimodal prompt perceiver: Empower adaptiveness, generalizability and fidelity for all-in- one image restoration,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.710293Z

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Observation d2316b6b-06d9-4614-be79-0d2f9aadaef5 · outbound

This paper cites Multi-weather degradation-aware transformer for image restoration,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Multi-weather degradation-aware transformer for image restoration,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.698935Z

Source-reported events for the cited work

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Observation a85ba684-0330-4f31-95f0-5a3a1f258caa · outbound

This paper cites All-in-one image restoration for unknown degradations using adaptive discriminative filters for specific degradations,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration All-in-one image restoration for unknown degradations using adaptive discriminative filters for specific degradations,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.688356Z

Source-reported events for the cited work

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Observation ab593076-fede-4a84-b922-0ae435e11fba · outbound

This paper cites A unified accelerator for all- in-one image restoration based on prompt degradation learning,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration A unified accelerator for all- in-one image restoration based on prompt degradation learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.677267Z

Source-reported events for the cited work

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Observation 756885f0-60b7-4a95-ae07-0f1c03e8812e · outbound

This paper cites Exploring the application of large-scale pre-trained models on adverse weather removal,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Exploring the application of large-scale pre-trained models on adverse weather removal,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.665452Z

Source-reported events for the cited work

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Observation 4cbcd3fc-4899-4fab-825f-342de3d1f243 · outbound

This paper cites Autodir: Automatic all-in-one image restoration with latent diffusion,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Autodir: Automatic all-in-one image restoration with latent diffusion,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.653763Z

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Observation f85d47a5-5598-41d3-a9cc-7bbdc1ca1916 · outbound

This paper cites Mwformer: Multi- weather image restoration using degradation-aware transformers,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Mwformer: Multi- weather image restoration using degradation-aware transformers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.642274Z

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Observation 87a9b721-40e9-4923-9a33-ea47e88cce43 · outbound

This paper cites Swinir: Image restoration using swin transformer,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Swinir: Image restoration using swin transformer,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.630842Z

Source-reported events for the cited work

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Observation e6bac931-24a9-424c-812f-b7ea04f303c3 · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Restormer: Efficient transformer for high-resolution image restoration,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.617952Z

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Observation 0916c12a-ae81-47a7-972a-702ec31db205 · outbound

This paper cites AdaIR: Adaptive all-in-one image restoration via frequency mining and modulation,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration AdaIR: Adaptive all-in-one image restoration via frequency mining and modulation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.605273Z

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Observation c7329487-d886-41e8-b5ac-e01a94a58260 · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 22

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Observation 206ef9df-32c6-4f66-bc6d-096ddf8d0c90 · outbound

This paper cites Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation

Reference 23

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Source-reported events for the cited work

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Observation e5bf1aac-2946-4a1c-80db-2e3eeacc45ea · outbound

This paper cites Adaptive mixtures of local experts,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Adaptive mixtures of local experts,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.593623Z

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Observation 72682ae1-78e0-4d4b-8367-2239c61bda57 · outbound

This paper cites Path-restore: Learning network path selection for image restoration,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Path-restore: Learning network path selection for image restoration,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.582613Z

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Observation d488a527-1624-4221-bd59-d21d56069e56 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Learning transferable visual models from natural language supervi- sion,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.572234Z

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Observation 4600a83e-c975-47b3-a2c3-27282d608146 · outbound

This paper cites DA2Diff: Exploring Degradation-aware Adaptive Diffusion Priors for All-in-One Weather Restoration.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration DA2Diff: Exploring Degradation-aware Adaptive Diffusion Priors for All-in-One Weather Restoration

Reference 27

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Observation dfb985cb-a6cd-4acd-b205-075bdd9c5c3a · outbound

This paper cites LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration

Reference 28

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Observation fdb923de-2863-498b-b344-2d3ca6bb4224 · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Controlling vision-language models for multi-task image restoration,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.560604Z

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Observation 549b960b-c3b8-473c-832e-2232197bfe07 · outbound

This paper cites A non-local algorithm for image denoising,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration A non-local algorithm for image denoising,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.549754Z

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Observation 1c0adb3c-7091-4605-b8c3-a68818120d21 · outbound

This paper cites Emergence of simple-cell receptive field properties by learning a sparse code for natural images,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Emergence of simple-cell receptive field properties by learning a sparse code for natural images,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:56.823366Z

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Observation a9860663-ed06-4f5b-b3a8-3895c5cef3c5 · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Beyond a gaussian denoiser: Residual learning of deep CNN for image denoising,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.532198Z

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Observation cab8329f-d41c-4887-aa0d-6e054101487d · outbound

This paper cites Lightweight image super-resolution with enhanced CNN,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Lightweight image super-resolution with enhanced CNN,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.520772Z

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Observation 881898f6-9620-4ec7-8d9d-628614c3bcbf · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.510513Z

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Observation b459ff77-f7e1-493a-89b5-f0411a65f7fe · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Mambair: A simple baseline for image restoration with state-space model,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.498782Z

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Observation d12b6838-5707-4ec7-8b6d-4060f57d70b6 · outbound

This paper cites All-in-one image restoration for unknown corruption,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration All-in-one image restoration for unknown corruption,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.486487Z

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Observation 1f414df7-8087-4ce1-8567-26d316fae6a3 · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Promptir: Prompting for all-in-one image restoration,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.475835Z

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Observation 765f3f50-48fd-4268-8138-14dd116e4859 · outbound

This paper cites PALP: prompt aligned personalization of text-to-image models,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration PALP: prompt aligned personalization of text-to-image models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.464746Z

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Observation 7f33f3b8-2ac0-46c2-8f7d-bf8a40c02e95 · outbound

This paper cites Image dehazing transformer with transmission-aware 3d position embedding,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Image dehazing transformer with transmission-aware 3d position embedding,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.453683Z

Source-reported events for the cited work

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Observation fc95352e-2e85-4c36-b069-2202bb4d0a18 · outbound

This paper cites Dynamic convolution: Attention over convolution kernels,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Dynamic convolution: Attention over convolution kernels,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.442580Z

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Observation 18b5e281-8e2d-442e-8c20-d032a8304eef · outbound

This paper cites Moe-diffir: Task-customized diffusion priors for univer- sal compressed image restoration,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Moe-diffir: Task-customized diffusion priors for univer- sal compressed image restoration,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.431883Z

Source-reported events for the cited work

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Observation 0821f32b-484e-4dd3-bed5-e7c903de8ccd · outbound

This paper cites UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:56.861144Z

Source-reported events for the cited work

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Observation 97ed6b5a-e6a7-4bb6-b9aa-163af8c9ce1f · outbound

This paper cites UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:56.865049Z

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Observation 77afecb4-0a01-411b-aef8-727e0d35ac0f · outbound

This paper cites Uniuir: Considering underwater image restoration as an all-in-one learner,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Uniuir: Considering underwater image restoration as an all-in-one learner,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:56.869491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e837bcb-5f9f-4f14-8b72-9914466f6464 · outbound

This paper cites Restoring spatially-heterogeneous distortions using mixture of experts network,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Restoring spatially-heterogeneous distortions using mixture of experts network,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.421363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c4235e0e-a63f-4fd9-8c7e-d8bef52a7dc3 · outbound

This paper cites Poisoning and Backdooring Contrastive Learning.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Poisoning and Backdooring Contrastive Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:56.879680Z

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

This paper cites Complexity Experts are Task-Discriminative Learners for Any Image Restoration.

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

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Observation 1fef92dc-7a30-41d6-8247-8a10b0f1e174 · outbound

This paper cites Ramir: Reasoning and action prompting with mamba for all-in-one image restoration,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Ramir: Reasoning and action prompting with mamba for all-in-one image restoration,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.410697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b72bf1c9-a3b0-4f10-814d-e81a6f5a2fd2 · outbound

This paper cites MatIR: A Hybrid Mamba-Transformer Image Restoration Model.

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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Observation d6ece63f-f135-4339-8550-3604a2dd0668 · outbound

This paper cites CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:56.894498Z

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Observation 09c8ab73-2a6a-4d51-a61a-3417e7868f8f · outbound

This paper cites Learning a multi-scale vision mamba for weather-degraded remote sensing image restoration,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Learning a multi-scale vision mamba for weather-degraded remote sensing image restoration,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.399552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1597f187-1cbf-485f-8687-ddcb7fe409ed · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Vision mamba: Efficient visual representation learning with bidirectional state space model,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.388073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 229a6010-1a16-4fa6-b4f6-e82e11f424d7 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:56.904948Z

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Observation 26efb527-931f-4849-a98f-b4af44b4f281 · outbound

This paper cites MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:56.909111Z

Source-reported events for the cited work

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Observation ce3b3a2e-c968-431a-b42f-78680abf6e63 · outbound

This paper cites MambaIRv2: Attentive State Space Restoration.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration MambaIRv2: Attentive State Space Restoration

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:56.912991Z

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Observation 986b7c36-502c-45f4-bc5c-e514856b20a5 · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:56.916833Z

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Observation 32e5d6d3-7c97-41be-96e8-db897bbd36c0 · outbound

This paper cites Heavy rain image restoration: Integrating physics model and conditional adversarial learning,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Heavy rain image restoration: Integrating physics model and conditional adversarial learning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.376774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a6c68093-2585-423c-b2be-378d2e90aaa8 · outbound

This paper cites Desnownet: Context-aware deep network for snow removal,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Desnownet: Context-aware deep network for snow removal,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.364868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c351fb62-4041-49d1-99e6-d776aab7c996 · outbound

This paper cites Attentive generative adversarial network for raindrop removal from a single image,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Attentive generative adversarial network for raindrop removal from a single image,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.354419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09aee6ee-d601-4f31-94cf-43f525bac59f · outbound

This paper cites Multi-stage progressive image restoration,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Multi-stage progressive image restoration,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.342882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66bd7602-6c40-4f29-962d-05635b475cc5 · outbound

This paper cites Simple baselines for image restoration,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Simple baselines for image restoration,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.331226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0f6bb7d9-9352-4489-95e4-496761f8f1cc · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Uformer: A general u-shaped transformer for image restoration,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.319878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 661fcf3e-f8d6-424a-9067-1673404ae65b · outbound

This paper cites Efficient and explicit modelling of image hierarchies for image restoration,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Efficient and explicit modelling of image hierarchies for image restoration,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.307664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 82dbf317-6b58-419a-b0be-dd30031d5227 · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Transweather: Transformer-based restoration of images degraded by adverse weather conditions,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.296156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aa88b280-246e-490b-9e3a-d98fece81137 · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Restoring vision in adverse weather conditions with patch-based denoising diffusion models,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.282742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67f76663-b9a3-418f-b51b-7b05cae2535b · outbound

This paper cites Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse Weather.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse Weather

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:27:57.009816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6cbfe6e6-b663-41b2-8907-26a043820380 · outbound

This paper cites Selective hourglass mapping for universal image restoration based on diffusion model,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Selective hourglass mapping for universal image restoration based on diffusion model,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.270110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3dc8b1e1-97ee-4772-bda0-f7473ac02504 · outbound

This paper cites Efficient deweahter mixture-of- experts with uncertainty-aware feature-wise linear modulation,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Efficient deweahter mixture-of- experts with uncertainty-aware feature-wise linear modulation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.258698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f4b2418d-4fc0-4d68-8769-21acc738c5c8 · outbound

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

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Gridformer: Residual dense transformer with grid structure for image restoration in adverse weather conditions,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.248142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 213195e1-8465-4383-b338-e5cdc0663b93 · outbound

This paper cites Removing raindrops and rain streaks in one go,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Removing raindrops and rain streaks in one go,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:57.236597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 534d4cac-b7aa-4709-853e-7eb434393b1f · inbound

ClusIR: Towards Cluster-Guided All-in-One Image Restoration cites this paper.

ClusIR: Towards Cluster-Guided All-in-One Image Restoration M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T17:01:31.345635Z

Source-reported events for the cited work

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Observation 2b9fc1fd-7209-4707-b54c-6aac7214175e · inbound

SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning cites this paper.

SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T09:57:24.371302Z

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