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Paper Citation Record · LEDGER

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration

As of 8 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 1 inbound Pith citation observation for arXiv:2506.22246.

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

pith.paper-citation-record.v1
2506.22246 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:14:52.860452Z

measured 89 of 89 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:49:45.514747Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

88 of 88 outbound references displayed

  • verified exact1
  • verified fuzzy67
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1622b6f5-c407-4591-b43b-bb476502c7d2 · outbound

This paper cites Image super-resolution using deep convolutional net- works.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Image super-resolution using deep convolutional net- works

Reference 1

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Observation a5afcb45-15ef-4f3b-a8bc-5dafdcb0f891 · outbound

This paper cites Accurate image super-resolution using very deep convolutional net- works.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Accurate image super-resolution using very deep convolutional net- works

Reference 2

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source=pdf_text observed=2026-08-06T22:14:48.890551Z digest=sha256:d6f825ec6a2dab2636c8f065904ce19df4f33004111eae7101ffb3cf36d13b9d

Observation ee38f081-3a79-4662-a38b-9c71551152f6 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Enhanced deep residual networks for single image super-resolution

Reference 3

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Observation 008eec46-460d-4053-8375-49053d743fa2 · outbound

This paper cites Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi

Reference 4

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source=pdf_text observed=2026-08-06T22:14:48.987653Z digest=sha256:bfb20057df5f5c379ef7470d50ed960d8098a099d33b135e8a91f21f1d88a6e1

Observation 48508b6c-1e05-4ac4-a31a-35b2e4136f45 · outbound

This paper cites Esrgan: En- hanced super-resolution generative adversarial networks.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Esrgan: En- hanced super-resolution generative adversarial networks

Reference 5

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Observation a696006a-6628-4905-a76d-218e2107a47d · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Image super-resolution using very deep residual channel attention networks

Reference 6

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source=pdf_text observed=2026-08-06T22:14:49.091834Z digest=sha256:446a651e435b33aaab819d67d6673b745712804c136cc95fa1d1aa7d0f68c4c5

Observation 89ca4cbb-0691-4ff3-9ea1-6ea2623c7fb9 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Residual dense network for image super-resolution

Reference 7

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source=pdf_text observed=2026-08-06T22:14:49.140792Z digest=sha256:89666bc7703cf276b456f195d1b93f40223f30b6fd55496eec2502df434d5c4b

Observation 0b79fb7a-d8e5-4854-baf3-1188a4757241 · outbound

This paper cites Toward convolutional blind denoising of real pho- tographs.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Toward convolutional blind denoising of real pho- tographs

Reference 8

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source=pdf_text observed=2026-08-06T22:14:49.191862Z digest=sha256:d1423f41b3f536e667feaa77917ac3378c3d27c3c464bcc1a3ca0207c58b82c5

Observation 231a919e-cd56-49ff-8778-c2dba52e0fa5 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Beyond a gaussian denoiser: Residual learning of deep CNN for image denoising

Reference 9

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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.

source=pdf_text observed=2026-08-06T22:14:49.237605Z digest=sha256:bf3fbbbbe7c69fabcbb891e0f792462bb5172ed4c0c611c0474deb1f24085109

Observation 2db8bccb-6176-48ea-b1b9-56433df38ccf · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Learning deep CNN denoiser prior for image restoration

Reference 10

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Observation 49ecfe2b-cfcb-405d-abf8-392edc9a1e3a · outbound

This paper cites Ffdnet: To- ward a fast and flexible solution for cnn-based image denois- ing.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Ffdnet: To- ward a fast and flexible solution for cnn-based image denois- ing

Reference 11

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Observation 824d6073-a67e-49ab-a4c1-c1b4341338b5 · outbound

This paper cites Image de- noising using deep CNN with batch renormalization.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Image de- noising using deep CNN with batch renormalization

Reference 12

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Observation 7713d8d9-bc00-4fd8-a2ce-0f3520a5f473 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Plug-and-play image restoration with deep denoiser prior

Reference 13

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

source=pdf_text observed=2026-08-06T22:14:49.440463Z digest=sha256:7d71b0f5ac93445f9030bda69fe7da902ad452e90a7a108a54d9787b573917fc

Observation bb9a69ff-0e18-4866-be12-592b99768c43 · outbound

This paper cites Deblurgan: Blind mo- tion deblurring using conditional adversarial networks.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Deblurgan: Blind mo- tion deblurring using conditional adversarial networks

Reference 14

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source=pdf_text observed=2026-08-06T22:14:49.492352Z digest=sha256:5f51f0f63483125ec0500351ccd7fea2b83ec9e8e8e21da38d66aa5a97e96495

Observation 620ee4bc-2d99-4d0b-b946-e03c647ea5a2 · outbound

This paper cites Scale-recurrent network for deep image deblurring.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Scale-recurrent network for deep image deblurring

Reference 15

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

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Observation 1e8ca961-6473-4210-8912-2488752935af · outbound

This paper cites Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better

Reference 16

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

source=pdf_text observed=2026-08-06T22:14:49.593598Z digest=sha256:f19d1f178ca68ad305bb758b7673145ecda74986d492cc3a1b83cc67ce7647ee

Observation 8b25f50b-dc30-4c2a-8800-420f0f01dc3e · outbound

This paper cites Deblurring by realis- tic blurring.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Deblurring by realis- tic blurring

Reference 17

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Observation 4586009a-54fd-4843-bdde-4c5f93425dd6 · outbound

This paper cites Deep stacked hierarchical multi-patch network for im- age deblurring.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Deep stacked hierarchical multi-patch network for im- age deblurring

Reference 18

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source=pdf_text observed=2026-08-06T22:14:49.690899Z digest=sha256:c9959e0986c6492ef2623600f83935935f082415b65eeea31003804f01e5d316

Observation e326ede6-b7e5-42de-8977-3a39abfbde2c · outbound

This paper cites Rethinking coarse-to-fine approach in sin- gle image deblurring.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Rethinking coarse-to-fine approach in sin- gle image deblurring

Reference 19

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Observation 2b585936-7eac-4840-b97f-2630fb79193b · outbound

This paper cites an unresolved cited work.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Unresolved cited work

Reference 20

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Observation 2cecb1c5-80d4-406c-9aa3-4ff451f2fc38 · outbound

This paper cites Semi-supervised transfer learning for image rain re- moval.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Semi-supervised transfer learning for image rain re- moval

Reference 21

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Observation 068a7153-3687-445c-99bf-aa88c2298b38 · outbound

This paper cites an unresolved cited work.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Unresolved cited work

Reference 22

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Observation 2f947cdf-20a9-4556-92fd-2273894432fd · outbound

This paper cites an unresolved cited work.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-06T22:14:49.916749Z digest=sha256:3da8e06b1e194337725dc46e4bea291117d35cb385c7de51d5ee6adf999111d2

Observation 7e6eeda3-2183-4bef-a1c1-6fa2b4c7a697 · outbound

This paper cites Recurrent squeeze-and-excitation context aggregation net for single image deraining.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Recurrent squeeze-and-excitation context aggregation net for single image deraining

Reference 24

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Observation 4a555100-efd4-4ca2-9d28-f88d963f3558 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Progressive image deraining networks: A better and simpler baseline

Reference 25

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source=pdf_text observed=2026-08-06T22:14:50.017911Z digest=sha256:5b19ce4fb3fa38125fe0dc7ca22a16a5aa774d3ba195ae7d32dd01f9daa9c9e2

Observation 678bfe40-7b73-45c5-a38d-4f49a8c5f674 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Multi-scale progressive fusion network for single image deraining

Reference 26

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

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Observation 626ecc06-73ad-4fcb-9a83-f5251014b639 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Single image dehazing via multi- scale convolutional neural networks

Reference 27

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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.

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Observation 76522711-e836-437f-8c20-64e84fef46e9 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Dehazenet: An end-to-end system for single image haze removal

Reference 28

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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.

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Observation 4e1930d4-d98b-4e5c-985a-05cebe80013d · outbound

This paper cites Aod-net: All-in-one dehazing network.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Aod-net: All-in-one dehazing network

Reference 29

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source=pdf_text observed=2026-08-06T22:14:50.245637Z digest=sha256:b1df95401db04bcc019ea29802067b19b220f2315c98f1beb0b79a61890d25b0

Observation e9f0fd64-cfc1-4fd6-9d53-c0fa15c0bc22 · outbound

This paper cites Grid- dehazenet: Attention-based multi-scale network for image dehazing.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Grid- dehazenet: Attention-based multi-scale network for image dehazing

Reference 30

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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.

source=pdf_text observed=2026-08-06T22:14:50.298858Z digest=sha256:55c825c26f5acdbcd3d116f19185966ace64381a041d196ddff2520837d65a0a

Observation eee83d33-7c04-4f90-903c-2ae053ad2a10 · outbound

This paper cites Multi-scale boosted de- hazing network with dense feature fusion.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Multi-scale boosted de- hazing network with dense feature fusion

Reference 31

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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.

source=pdf_text observed=2026-08-06T22:14:50.336293Z digest=sha256:9a728f7de1a40c076d3e1cd7cd6830de14002f4307b311981fbfedd132ea1835

Observation 8adb198a-6658-4f7e-a70d-c89c1bc2a800 · outbound

This paper cites Ffa-net: Feature fusion attention network for single image dehazing.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Ffa-net: Feature fusion attention network for single image dehazing

Reference 32

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:14:50.373769Z digest=sha256:9194380b6c2bd4aa2f7508cdf3b7f593339898367789e8cb390aba6984214f25

Observation 95016c44-01fa-4073-b043-b2e72bf6c6e9 · outbound

This paper cites Con- trastive learning for compact single image dehazing.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Con- trastive learning for compact single image dehazing

Reference 33

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

source=pdf_text observed=2026-08-06T22:14:50.439725Z digest=sha256:674898e95945a7560cfc645279c10fb69f80af5b02905c8a98a1d11a3246c365

Observation 042a7605-5a06-4c5c-bdc9-9e38afb46f67 · outbound

This paper cites Perceiving and mod- eling density for image dehazing.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Perceiving and mod- eling density for image dehazing

Reference 34

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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.

source=pdf_text observed=2026-08-06T22:14:50.498040Z digest=sha256:d524fde73f75a724588d911a4d81b8d1536b1ccc788f075047861b1ceae925dc

Observation 5930f2c6-3f18-44a0-b69b-7ba4782eeb10 · outbound

This paper cites Khan, Mu- nawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Khan, Mu- nawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T22:15:01.967568Z

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.

source=pdf_text observed=2026-08-06T22:14:50.534815Z digest=sha256:acf0b9e5d80228ed6db4aebec25f898f4acc7297995149de1038d81e4328505d

Observation 543e0319-33f5-4443-aab9-646840c1f410 · outbound

This paper cites Multi-stage progressive image restoration.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Multi-stage progressive image restoration

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:01.785030Z

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.

source=pdf_text observed=2026-08-06T22:14:50.595024Z digest=sha256:6e6855b0108d4176c423ee8e6ef0b1c404224d2f60e74962fbe85b76d5c85dc5

Observation 22cb67b8-18bb-4a90-9013-c8a08bf9c7a6 · outbound

This paper cites Hinet: Half instance normalization network for image restoration.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Hinet: Half instance normalization network for image restoration

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:01.652725Z

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.

source=pdf_text observed=2026-08-06T22:14:50.639446Z digest=sha256:d43410bc08c20424d29dee9848f0daaf42e71c507ec6b05c06b0cec50df4c279

Observation f7fa0200-6860-43bc-a03e-e66edd22bb5b · outbound

This paper cites an unresolved cited work.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:01.516490Z

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.

source=pdf_text observed=2026-08-06T22:14:50.700830Z digest=sha256:1321c28b5f2bb8826a4b0d6a4239fb6ac89d712fe538c40e5108318635221edb

Observation e7defec9-24f5-4640-9212-284bffdf1f95 · outbound

This paper cites Selec- tive frequency network for image restoration.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Selec- tive frequency network for image restoration

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:01.332783Z

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.

source=pdf_text observed=2026-08-06T22:14:50.741446Z digest=sha256:9d7230082953ed32c203d8f4133c9f0a8819a96ff1ec68214232b9b215e2c865

Observation 931f7c0a-7a4b-4c37-959f-b51ef8e46fed · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration An image is worth 16x16 words: Transformers for image recognition at scale

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:01.137655Z

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.

source=pdf_text observed=2026-08-06T22:14:50.809113Z digest=sha256:d053b907ea6d8b409b9d0eae3520aaeeff429d5e27205f63e329a3a6c9b97af3

Observation aeab2af8-24d6-4d9d-a6ca-bd1e1ac2f68a · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Second-order attention network for single im- age super-resolution

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:00.947121Z

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.

source=pdf_text observed=2026-08-06T22:14:50.867639Z digest=sha256:cc0d22814c4e2e2281053399a7bf840f697555acd51e5a44be624d2272d79fc7

Observation a6380612-0b01-4585-a655-f1d371ecadb2 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Activating more pixels in image super- resolution transformer

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:00.789014Z

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.

source=pdf_text observed=2026-08-06T22:14:50.921876Z digest=sha256:5fcbbb06eded16376e5c8dfcb63b759e75145b8da81c6f272088c84eefbb2941

Observation 62b14079-cba3-4db0-ac51-ee5dfe1e0c49 · outbound

This paper cites Stripformer: Strip transformer for fast image deblurring.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Stripformer: Strip transformer for fast image deblurring

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:00.587860Z

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.

source=pdf_text observed=2026-08-06T22:14:50.979813Z digest=sha256:4cb07ce9d15c74549cf98e937150b3cea0d1dd1d85e5ed4c25727e7b3ba4983f

Observation 272a2011-0bed-40b0-bd01-1cb6d250a339 · outbound

This paper cites Image de-raining transformer.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Image de-raining transformer

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:00.445317Z

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.

source=pdf_text observed=2026-08-06T22:14:51.020095Z digest=sha256:938f5c218c3bd482fbb52bf7b4b600099075de1e210058f311a52232d083eb71

Observation 60722ebf-072f-4fe7-a460-25c33eaf18e2 · outbound

This paper cites Learn- ing A sparse transformer network for effective image derain- ing.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Learn- ing A sparse transformer network for effective image derain- ing

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:00.241440Z

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.

source=pdf_text observed=2026-08-06T22:14:51.074628Z digest=sha256:fc3fe22dd80515717ac9fa844f1e6a22677cffcc076d267b57cf390b4de6b75f

Observation eaa157af-0ad5-45db-ad06-4dd60821d46e · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Image dehazing transformer with transmission-aware 3d position embedding

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:00.077119Z

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.

source=pdf_text observed=2026-08-06T22:14:51.141948Z digest=sha256:6c51574558706599b22ffda4fe5b22b597d0027d47ec0a37443b342c53fbbf38

Observation 292e8f59-ab8b-4b4b-9ae0-d48033e1c4b4 · outbound

This paper cites Vision transformers for single image dehazing.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Vision transformers for single image dehazing

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:59.898942Z

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.

source=pdf_text observed=2026-08-06T22:14:51.201703Z digest=sha256:5e0b672179a8420aca4e95c9759259d66cc0285146aa985123a42d08c934f8d7

Observation 2df01814-39e1-4796-9754-9da339dc7fca · outbound

This paper cites Swinir: Image restoration us- ing swin transformer.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Swinir: Image restoration us- ing swin transformer

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:59.771704Z

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.

source=pdf_text observed=2026-08-06T22:14:51.247184Z digest=sha256:3414bf84cae06d5c5cc934ba87231d686f28dd0133048e27a5dfd5d991fb7549

Observation b9dce7bf-af41-4e9a-8293-351e2ee62ab8 · outbound

This paper cites Pre-trained image processing transformer.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Pre-trained image processing transformer

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:59.615407Z

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.

source=pdf_text observed=2026-08-06T22:14:51.284351Z digest=sha256:83aa079eeddb63642d4b070ded74c8220003143e5718f64709d9ec7728e344e8

Observation 21979673-092d-4aad-984a-80a56e7f196e · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Uformer: A general u-shaped transformer for image restoration

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:59.446223Z

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.

source=pdf_text observed=2026-08-06T22:14:51.309295Z digest=sha256:372dc16015a7fb836d8fac3b2da1c9f138bf57fd53361451b09552f9192ef1c2

Observation 8f62124f-7c13-4208-a8b3-feb732264651 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Restormer: Efficient transformer for high-resolution image restoration

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:59.300931Z

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.

source=pdf_text observed=2026-08-06T22:14:51.352933Z digest=sha256:406304a6022f28041701837f318b37d100358e0ad0e24cb71e5501330da8a12d

Observation 1dc49d47-dcde-4837-bf0f-dcdc6266afad · outbound

This paper cites Accurate image restoration with attention retractable transformer.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Accurate image restoration with attention retractable transformer

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:59.131695Z

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.

source=pdf_text observed=2026-08-06T22:14:51.409028Z digest=sha256:aa9efe1258d7da1e3c0879d9429cc6b1355e7bb8641bb35d38ce081c87865c2c

Observation 5dcfb2aa-0001-45dd-acc5-a0509ff158f4 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T22:14:51.444914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:14:51.444914Z digest=sha256:708be6452718bb5eee1cac9f414f0b875462f281ea8ed12e5a5243999b900eb7

Observation 2efa6948-cbbb-4e06-9c7a-2a67c01eae75 · outbound

This paper cites VMamba: Visual State Space Model.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration VMamba: Visual State Space Model

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T22:14:51.476296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:14:51.476296Z digest=sha256:03f8dc975c4b24e1a907831899ef900f19926ad740ed13659a40f7783219372e

Observation 49b9fefc-2101-40d3-994a-c1a885391339 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Vision mamba: Efficient visual representation learning with bidirectional state space model

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:58.962542Z

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.

source=pdf_text observed=2026-08-06T22:14:51.521789Z digest=sha256:b4001d6372d4d2d2e0d78b6272d8c9c93b3e75afe901e7a1b334500c32001b4d

Observation 05561ecd-b4f5-4314-987b-e5acc10b5432 · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T22:14:51.573864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:14:51.573864Z digest=sha256:b1c539fbdcbc7f987f77cafc9e584e2d2c3124b89cf1a9dc22d591a681da8019

Observation 70976458-0360-4e2a-bff3-141df04deb46 · outbound

This paper cites MambaIR: A Simple Baseline for Image Restoration with State-Space Model.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration MambaIR: A Simple Baseline for Image Restoration with State-Space Model

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T22:14:51.606246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:14:51.606246Z digest=sha256:ff96eda93f74d64ac5ca1552e100ee16efdc6dd8cfbe12da8b3f184ec734224c

Observation 80233b65-99ec-4591-a82e-cdf24c030550 · outbound

This paper cites VmambaIR: Visual State Space Model for Image Restoration.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration VmambaIR: Visual State Space Model for Image Restoration

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T22:14:51.646412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:14:51.646412Z digest=sha256:63dcfb9e6e8ae5e843f7203aa108b0f25a1e21fd04a49c2bf402458e86d3c419

Observation ce3050d3-b5f3-457d-a917-3f33bf3a0286 · outbound

This paper cites an unresolved cited work.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:14:58.766954Z

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.

source=pdf_text observed=2026-08-06T22:14:51.682964Z digest=sha256:1ae0734a2b87c9454e0082d41932c9b93609cc2e626d4a7f3ec68e8e5ca90f4c

Observation 227d2529-f6f0-4897-8ec0-af58d5227454 · outbound

This paper cites Metaformer is actually what you need for vision.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Metaformer is actually what you need for vision

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:58.624974Z

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.

source=pdf_text observed=2026-08-06T22:14:51.718626Z digest=sha256:a05949b8557d0522bcb472d277f310e4922b0253aeb6e59fa95f12b827ce69cb

Observation e8b65495-5c44-4d2c-abbf-33ed9280f2b5 · outbound

This paper cites Toward real-world single image super-resolution: A new benchmark and a new model.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Toward real-world single image super-resolution: A new benchmark and a new model

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:58.442925Z

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.

source=pdf_text observed=2026-08-06T22:14:51.759622Z digest=sha256:a4e45f5457cb7316d98783a4a18b2f0f669b8871b3de249750acb6d9512f5390

Observation 6ca145f8-2c32-4b8b-817c-a3b5658c69fa · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:58.207341Z

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.

source=pdf_text observed=2026-08-06T22:14:51.791423Z digest=sha256:18e9318f55a016c797d673134009f77cdb28342b60d0df583f14e2fa1d2cacc3

Observation f526548a-9da9-4544-b5d6-414b64a8a4de · outbound

This paper cites Benchmarking single- image dehazing and beyond.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Benchmarking single- image dehazing and beyond

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:58.032883Z

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.

source=pdf_text observed=2026-08-06T22:14:51.827159Z digest=sha256:3eb3b717f7c083da46da9449b581ae3f634070a13d7b2985a857b63279b2cede

Observation 062a2895-f0ac-4de5-b737-2c8187eaaef4 · outbound

This paper cites Activating Wider Areas in Image Super-Resolution.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Activating Wider Areas in Image Super-Resolution

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T22:14:51.862863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:14:51.862863Z digest=sha256:a0d795c98a77cf7c744c568bf53f51ad0fd623bef1be762f507ae0beb04da7e4

Observation 13754a3e-6bfe-4f1c-aa9b-e58811829e45 · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration U-net: Convolutional networks for biomedical image segmentation

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:57.883723Z

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.

source=pdf_text observed=2026-08-06T22:14:51.904635Z digest=sha256:43e7a4ac24ed1f6d41fd639ae8139aed2f417966daca45ac30ffb55f478736ec

Observation 4a62a394-baf8-4ae0-a492-3a4073e74dab · outbound

This paper cites Layer Normalization.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Layer Normalization

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T22:14:51.944761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:14:51.944761Z digest=sha256:9817921f4d78b747a0d7185fbd96583fc89ca9bb67fb395949fb7022b7f6f8b7

Observation 05e073df-8859-439f-86d4-1a4cbd60bfa9 · outbound

This paper cites Sigmoid- weighted linear units for neural network function approxi- mation in reinforcement learning.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Sigmoid- weighted linear units for neural network function approxi- mation in reinforcement learning

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:57.756967Z

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.

source=pdf_text observed=2026-08-06T22:14:52.014403Z digest=sha256:7022e11b2be141675e6a5498d4f6502920345550f9f88eeccf68c574ebeb525d

Observation 93ad7101-1d0e-40b7-a9a4-ee825698561d · outbound

This paper cites Simple baselines for image restoration.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Simple baselines for image restoration

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:57.615927Z

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.

source=pdf_text observed=2026-08-06T22:14:52.081128Z digest=sha256:3cbe1afa062e55f0a956eee5fe996a99c88467229c1eed1ee10c3d5a8e10a899

Observation 2e675f16-986a-49cd-a8f8-3ce2f3be9604 · outbound

This paper cites Decoupled weight decay regularization.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Decoupled weight decay regularization

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:57.517798Z

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.

source=pdf_text observed=2026-08-06T22:14:52.126826Z digest=sha256:104f1fb71769677442cc2e336c41efe25948f69a64fb1b26e236b3e8354705f6

Observation 426e9d2d-f2b0-45ea-a75e-78c7e00c84c2 · outbound

This paper cites com / facebookresearch / fvcore.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration com / facebookresearch / fvcore

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:57.333304Z

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.

source=pdf_text observed=2026-08-06T22:14:52.150419Z digest=sha256:05f5c63572c53de020996854fbb3ee3a14d219bb3127e81af674d1ad8aaa4212

Observation cf218d4e-2ade-4dd5-8db1-c146aafa2d23 · outbound

This paper cites Martin, Charless C.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Martin, Charless C

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:57.178359Z

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.

source=pdf_text observed=2026-08-06T22:14:52.183574Z digest=sha256:be1c910c8cd972ab0a23e0109a37ccd136a08e3312d4a093a1f69c621a3de45e

Observation 6bd111e4-a4cf-4b4c-b2eb-1cf562078c1b · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Color demosaicking by local directional interpolation and nonlocal adaptive thresholding

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:57.050086Z

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.

source=pdf_text observed=2026-08-06T22:14:52.212978Z digest=sha256:c8d75870a54fa7fc433f3425952fddbc16719fa22f1b892dce266ac5e7b917d0

Observation 966542dc-94ff-4aff-9eb1-34fe8686a13b · outbound

This paper cites Kodak lossless true color image suite.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Kodak lossless true color image suite

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:56.893580Z

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.

source=pdf_text observed=2026-08-06T22:14:52.244905Z digest=sha256:55b576939841314984cf04b523910e6f335ee550d8c1c904f4429f2da6c22660

Observation 716a9a9e-9280-4fee-8f9f-684b31b5a41c · outbound

This paper cites Egiazarian.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Egiazarian

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:56.747097Z

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.

source=pdf_text observed=2026-08-06T22:14:52.289447Z digest=sha256:b6c9eda125fd576a4e6a48b0d72cb82876657eabb9d22845bfae587d62eaef42

Observation 11a2f0c8-2992-44d1-92fb-228f7271b2d2 · outbound

This paper cites Real image denoising with feature attention.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Real image denoising with feature attention

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:56.626951Z

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.

source=pdf_text observed=2026-08-06T22:14:52.320764Z digest=sha256:2608dda05517b374cf54c325536f7a21380ca2f3f2a34ee6d33f999e1eed17b6

Observation 17a74fc8-e9ef-40c4-823a-02102bfd7cbf · outbound

This paper cites Variational denoising network: Toward blind noise modeling and removal.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Variational denoising network: Toward blind noise modeling and removal

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:56.445823Z

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.

source=pdf_text observed=2026-08-06T22:14:52.360579Z digest=sha256:1c1cb029047e35d7acafa4b03765c791bfa593ce64029b492f2c73e1c0a456b5

Observation 1b743c76-6a76-416d-936b-ac1b3d87f2d9 · outbound

This paper cites Spatial- adaptive network for single image denoising.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Spatial- adaptive network for single image denoising

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:56.277997Z

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.

source=pdf_text observed=2026-08-06T22:14:52.385414Z digest=sha256:2255bbc0e82e7af900aa1c8d53d8b08ac4ecbf3863c02302b775cf4bb8474093

Observation c81f9192-3043-422b-9075-25a738ca3531 · outbound

This paper cites Dual adversarial network: Toward real-world noise removal and noise generation.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Dual adversarial network: Toward real-world noise removal and noise generation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:56.078206Z

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.

source=pdf_text observed=2026-08-06T22:14:52.428058Z digest=sha256:5a381f445780bab8e28c85bd62158b0cec6ec1e4c93e4e973d410e96b1551d88

Observation 715d95d3-ae37-44ff-87a4-b2a5ea68b231 · outbound

This paper cites Khan, Mu- nawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Khan, Mu- nawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:55.777355Z

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.

source=pdf_text observed=2026-08-06T22:14:52.475354Z digest=sha256:f4b44f13ec7a89e3a31a005cacca46df763e6992781a85721e6310ab8f19ad7a

Observation 101cb4ce-3da2-4b21-bcc1-595ed367a3f7 · outbound

This paper cites Adaptive consistency prior based deep network for image de- noising.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Adaptive consistency prior based deep network for image de- noising

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:55.597767Z

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.

source=pdf_text observed=2026-08-06T22:14:52.534219Z digest=sha256:31be40c8252b49e5d4fd292e561719268075e25af3a3998893af993609b48a3c

Observation 3c0ab9d6-3591-4ad2-8da6-1eb10ae3038d · outbound

This paper cites Dynamic atten- tive graph learning for image restoration.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Dynamic atten- tive graph learning for image restoration

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:55.355571Z

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.

source=pdf_text observed=2026-08-06T22:14:52.567920Z digest=sha256:c6e262addf12102bde42b9040b5dbfa5183f3e3e9678601016a0d70d35cbc1c1

Observation ff6c4413-4415-4a28-82a3-b07cad62a6e7 · outbound

This paper cites NTIRE 2017 chal- lenge on single image super-resolution: Dataset and study.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration NTIRE 2017 chal- lenge on single image super-resolution: Dataset and study

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:54.999643Z

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.

source=pdf_text observed=2026-08-06T22:14:52.600702Z digest=sha256:6a88f73083594db551e6ca16135b2ab2293f8120ee71ef98a1dc541b2fed1548

Observation 9d21f65d-d101-47af-adf2-79286dccebbc · outbound

This paper cites NTIRE 2017 challenge on sin- gle image super-resolution: Methods and results.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration NTIRE 2017 challenge on sin- gle image super-resolution: Methods and results

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:54.676006Z

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.

source=pdf_text observed=2026-08-06T22:14:52.631262Z digest=sha256:229bec606c93a33d21d225453fbee7bac8071bb7a1775b6fda9fc825d49d34e2

Observation 6982acdb-1a44-4f42-93d0-0795857c43cf · outbound

This paper cites Waterloo ex- ploration database: New challenges for image quality assess- ment models.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Waterloo ex- ploration database: New challenges for image quality assess- ment models

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:54.321594Z

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.

source=pdf_text observed=2026-08-06T22:14:52.679880Z digest=sha256:7ae6668212443f75a3a2b28598f49827b0fa0de6ad3170e82136a7fc9b65e9f4

Observation 650ba040-9ff0-4ca1-a4ec-4e48af80446c · outbound

This paper cites Bovik, and Yinxiao Li.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Bovik, and Yinxiao Li

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:53.960464Z

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.

source=pdf_text observed=2026-08-06T22:14:52.699424Z digest=sha256:01374e81820250a14eaf4ac939cdcc38712dc6e347bbf8b5b23bade2822ab2a9

Observation 2bf5ad7b-9025-4d36-a73b-b232faf72ac3 · outbound

This paper cites Human-Aware Motion Deblurring.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Human-Aware Motion Deblurring

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:14:53.090561Z

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.

source=pdf_text observed=2026-08-06T22:14:52.771287Z digest=sha256:8054653fa99bfa3d93578ccd70a225d03704325af899dffb327095031c7f301e

Observation 89bb24b6-d822-4877-a6bc-814dbe2501ff · outbound

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

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Sin- gle image super-resolution from transformed self-exemplars

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:53.672571Z

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.

source=pdf_text observed=2026-08-06T22:14:52.800937Z digest=sha256:181ac29f567afa1fe1e67ff8d145569ab326273987da273016906fa2974134de

Observation 5b883f55-be90-4c0e-a328-bd77e0a9c635 · outbound

This paper cites Attention is all you need.

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Attention is all you need

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:14:53.501872Z

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.

source=pdf_text observed=2026-08-06T22:14:52.860452Z digest=sha256:379d94b2c27b622d361dd2afdb36bc7a69fe83bf8c263bc6788b05c850d55faa

Pith citing papers

Observation 2d7735c7-7b62-433b-9752-e1a30fa5f668 · inbound

VEMamba: Efficient Isotropic Reconstruction of Volume Electron Microscopy with Axial-Lateral Consistent Mamba cites this paper.

VEMamba: Efficient Isotropic Reconstruction of Volume Electron Microscopy with Axial-Lateral Consistent Mamba EAMamba: Efficient All-Around Vision State Space Model for Image Restoration

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T19:49:45.514747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:49:45.514747Z digest=sha256:6fe4af12e815dc0f706bba0c7bf859455efc36380102df3f15d091316b4c0d37