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Paper Citation Record · LEDGER

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution

As of 12 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2411.17214.

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

pith.paper-citation-record.v1
2411.17214 v3

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:27:11.604333Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

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  • verified fuzzy63
  • unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56044b14-abfa-432d-8d72-55cfd38864e9 · outbound

This paper cites Reconstructing an image from its local descriptors,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Reconstructing an image from its local descriptors,

Reference 1

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Observation 7126452c-9536-4fbd-b284-071d20715bbd · outbound

This paper cites Boosting single image super-resolution via partial channel shifting,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Boosting single image super-resolution via partial channel shifting,

Reference 2

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Observation cdd8302d-52c9-442e-93b6-2ad184448250 · outbound

This paper cites Matching local self-similarities across images and videos,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Matching local self-similarities across images and videos,

Reference 3

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Observation 67bdd80a-0f86-4ce2-84a3-2433654c543b · outbound

This paper cites Super-resolution from a single image,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Super-resolution from a single image,

Reference 4

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Observation 9f7a22d6-d2d6-4f03-824d-ad6acf7f264f · outbound

This paper cites Image super-resolution with self- similarity prior guided network and sample-discriminating learning,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Image super-resolution with self- similarity prior guided network and sample-discriminating learning,

Reference 5

Resolution
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Source-reported events for the cited work

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Observation ea87561e-5f4a-4adc-a0a8-112a246aecba · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Single image super-resolution from transformed self-exemplars,

Reference 6

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Observation c54d1d60-6874-4ca8-ad85-a0ae1cf42122 · outbound

This paper cites Image super-resolution using deep convolutional networks,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Image super-resolution using deep convolutional networks,

Reference 7

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Observation 91eed41f-46a1-4ee4-b900-a5ef9dd38283 · outbound

This paper cites Accurate image super-resolution using very deep convolutional networks,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Accurate image super-resolution using very deep convolutional networks,

Reference 8

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Source-reported events for the cited work

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Observation 34d221ad-7e88-4c00-b91f-20fdef82569f · outbound

This paper cites Photo-realistic single im- age super-resolution using a generative adversarial network,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Photo-realistic single im- age super-resolution using a generative adversarial network,

Reference 9

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Source-reported events for the cited work

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Observation c26df218-2f9f-4725-bce2-013f0f9e7a6d · outbound

This paper cites Enhanced deep resid- ual networks for single image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Enhanced deep resid- ual networks for single image super-resolution,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3c24aca2-f3ad-4456-9bcb-d1c6a90d85bc · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Residual dense network for image super-resolution,

Reference 11

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Observation 08afa332-62a7-41c3-b45f-8bd4b14a13ce · outbound

This paper cites Multi-grained attention networks for single image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Multi-grained attention networks for single image super-resolution,

Reference 12

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Source-reported events for the cited work

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Observation 6b296e38-d368-495f-a028-550fa09dbee5 · outbound

This paper cites Lightweight image super- resolution with information multi-distillation network,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Lightweight image super- resolution with information multi-distillation network,

Reference 13

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Source-reported events for the cited work

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Observation ef5d9a14-56c5-4464-a29b-2348cd1d87da · outbound

This paper cites Blueprint separable residual network for efficient image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Blueprint separable residual network for efficient image super-resolution,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1f258a1e-fb29-4e40-ae3e-cb8833eea0a4 · outbound

This paper cites Large kernel distillation network for efficient single image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Large kernel distillation network for efficient single image super-resolution,

Reference 15

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Source-reported events for the cited work

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Observation 31a1afa3-828d-4ff9-bbdc-b2f3b98d77ec · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Image super- resolution using very deep residual channel attention networks,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0157544f-74bd-4b7d-9094-dde19d0fa045 · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Residual feature aggregation network for image super-resolution,

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 179c5162-596d-4b8c-a195-d003a6be629c · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Image super-resolution with non-local sparse attention,

Reference 18

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Source-reported events for the cited work

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Observation ebeb9c25-4147-40c2-9cdb-412d55a88674 · outbound

This paper cites Attention is all you need,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Attention is all you need,

Reference 19

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Source-reported events for the cited work

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Observation 7ae6c25d-6533-48e8-977e-28928b30e8dc · outbound

This paper cites Interpreting super-resolution networks with local attribution maps,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Interpreting super-resolution networks with local attribution maps,

Reference 20

Resolution
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Observation 48d8c51a-15aa-431f-a2c8-13fcf0d15298 · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Swinir: Image restoration using swin transformer,

Reference 21

Resolution
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Source-reported events for the cited work

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Observation bc3c4df8-3359-4c32-b4e4-ab7dc809fc4c · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Activating more pixels in image super-resolution transformer,

Reference 22

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Source-reported events for the cited work

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Observation 65ea4c5d-445c-4d18-bd07-17920e565b26 · outbound

This paper cites Srformer: Permuted self-attention for single image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Srformer: Permuted self-attention for single image super-resolution,

Reference 23

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Source-reported events for the cited work

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Observation 40bc7f20-9eac-44dc-b672-8eacc094491f · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Scaling up your kernels to 31x31: Revisiting large kernel design in cnns,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation db5d94aa-6853-43fd-8db6-8a4d622f5ca8 · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Efficient and explicit modelling of image hierarchies for image restoration,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2f4f4697-41c2-4549-b657-4d2b1bd022d3 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 26

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Source-reported events for the cited work

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Observation b6e172c6-db67-43fc-b2dc-0561c5f4f312 · outbound

This paper cites Understanding convolution for semantic segmentation,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Understanding convolution for semantic segmentation,

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7f4403dd-e189-4497-ab51-580296524172 · outbound

This paper cites Rewrite the stars,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Rewrite the stars,

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 58c1bbd8-d1cc-4eab-ac29-9a38b0caff2f · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 482d88e8-e00c-47ca-a04a-a5f97a7e9239 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5b719131-3640-4cef-a20b-a36da30f9e7c · outbound

This paper cites Cross-scale internal graph neural network for image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Cross-scale internal graph neural network for image super-resolution,

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation eb27495a-d0cf-4831-bf85-b53bb0ae5756 · outbound

This paper cites Feedback pyramid attention networks for single image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Feedback pyramid attention networks for single image super-resolution,

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f3e61d38-3461-4cf7-9dfc-92f5787c9c2c · outbound

This paper cites Non-local neural net- works,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Non-local neural net- works,

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e6eb5a2b-a700-4a97-91a3-4eacfb007bf5 · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.484132Z digest=sha256:4befaa69635cfc114d2b2dabb9faac505cc7614738c047b27bc9d789fdaef9f3

Observation a429f530-19eb-417a-b5d0-e490b81e46b3 · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:12.009099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.488544Z digest=sha256:893c07370270bcb90ea2dc6215e3f86c16f4822f27bf7966bce526c3c17d8e9c

Observation ade6d452-777e-4a14-b95a-fc912b9bd9bb · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.994555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.492120Z digest=sha256:e681af6719a126dedae0b04a6b9d980fa2e52b9248a499c9c9c845499b5ebe84

Observation 961294f6-ac90-4f0d-b450-05501ec7dd14 · outbound

This paper cites End-to-end object detection with transformers,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution End-to-end object detection with transformers,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.982583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.496097Z digest=sha256:c0259e00627f77b7ee499f02b685ab453ce69277f570ce17616f982e09ed5252

Observation d2a6a427-0214-4fe3-93a5-9ed95a72f83b · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Restormer: Efficient transformer for high-resolution image restoration,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.971035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.499987Z digest=sha256:9eb3877bb818a6d8e8767565c1f726ba1b20deb60e10d3a69fa53f07431abefd

Observation 346c986b-50f4-40d6-b671-fb3053930819 · outbound

This paper cites Egocentric early action prediction via multimodal transformer-based dual action prediction,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Egocentric early action prediction via multimodal transformer-based dual action prediction,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.958782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.503701Z digest=sha256:45dc6db6edecfb1868c33dd1760cb625b55d295d71ef7ce856d492d01208e8b0

Observation a379a477-f2a3-47ed-927d-cc5823760830 · outbound

This paper cites Msvt: Multiple spatiotemporal views transformer for deepfake video detection,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Msvt: Multiple spatiotemporal views transformer for deepfake video detection,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.946003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.507589Z digest=sha256:8c0fdf957d49ca92516378959dcc12b229ac81715168470790b4f9968292b57c

Observation 540252f5-a05d-447e-92e0-66ed7ff1af5b · outbound

This paper cites Lightweight image super-resolution with pyramid clustering transformer,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Lightweight image super-resolution with pyramid clustering transformer,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.934278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.511050Z digest=sha256:a62b9ab0f999f65073c66fda1ad9be83e1144f74a860a347e65c8f0f0a5b7177

Observation 52e2b562-2844-4210-be84-8bf3339b5a2f · outbound

This paper cites Hybrid attention- based u-shaped network for remote sensing image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Hybrid attention- based u-shaped network for remote sensing image super-resolution,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.922498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.515200Z digest=sha256:cdd458b08333339b6ab1cb9ba93c1609a652b7d199d63d766f1e432819062bc6

Observation 1d24a3a4-4b31-4dc3-8ed2-55c791942532 · outbound

This paper cites Cross-spatial pixel integration and cross-stage feature fusion- based transformer network for remote sensing image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Cross-spatial pixel integration and cross-stage feature fusion- based transformer network for remote sensing image super-resolution,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.911054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.518862Z digest=sha256:2051022ca96a8529d0c55da0205456e918bdecd659174749ff60bc7e1b0c04a2

Observation 55b84574-5d7c-4297-b5f8-18f55ad78a34 · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Omni aggregation networks for lightweight image super-resolution,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.900041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.522527Z digest=sha256:80754a0349228a808092dd71d6e7da14c85090844dfa6037015d7f07163b1eab

Observation 13b46480-3614-4ca2-a54e-89d254543df2 · outbound

This paper cites Accurate image restoration with attention retractable transformer,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Accurate image restoration with attention retractable transformer,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.888371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.527153Z digest=sha256:f957ac797fb665da2c8e567a0012dffa2774e01b054607a1c7b1cd3ff6a696d4

Observation 59cf3ffb-a696-4ec8-b512-29f2c5feac35 · outbound

This paper cites Transformer-based dual-branch multiscale fusion network for pan-sharpening remote sensing images,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Transformer-based dual-branch multiscale fusion network for pan-sharpening remote sensing images,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.875394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.530551Z digest=sha256:f1a3dbeb9010e4e926e3333643c88f5b75fb1a8be3c0958ad34209d39969d7ac

Observation 7ab3a0f2-ba26-4bf1-8da5-fd14cf4070fe · outbound

This paper cites Slide-transformer: Hierarchical vision transformer with local self-attention,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Slide-transformer: Hierarchical vision transformer with local self-attention,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.862222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.534056Z digest=sha256:ce0bd20d6fd10e6276e37eddc2007335b17f3176fbdd9a2845419aea923087ba

Observation 912e21f1-9f43-4443-a8bc-e85e07e0ed0d · outbound

This paper cites Dilateformer: Multi-scale dilated transformer for visual recognition,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Dilateformer: Multi-scale dilated transformer for visual recognition,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.850749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.537815Z digest=sha256:732a2f91e893f459aa004bf926b5b83c1eb006e8dc1f4d4075329af65042cad8

Observation e0e8abaf-923d-4c03-aedb-1ab2fd4a142b · outbound

This paper cites Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.840174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.541552Z digest=sha256:7b69bba314d56d7b498d3c33ad9ced3681c12388502c2b809be18943b32976ab

Observation b012ea17-7930-495f-a813-092131796ef2 · outbound

This paper cites Efficient non- local contrastive attention for image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Efficient non- local contrastive attention for image super-resolution,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.828922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.545966Z digest=sha256:399b488fab872e9f9ce15e1895334ce6bceb0f489e2dcddea9a6e93c5d04bf43

Observation cb8082bb-2650-452d-88d6-67d494aca098 · outbound

This paper cites Stand-alone self-attention in vision models,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Stand-alone self-attention in vision models,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.817650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.549680Z digest=sha256:13717fc42f44172e80a188d6ec7c45396315b7fea6d9319b26ed14a24faf3b5a

Observation 9687e7b6-84ff-4797-91bb-b5b1fe6661a0 · outbound

This paper cites Neighborhood attention transformer,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Neighborhood attention transformer,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.805250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.553147Z digest=sha256:78d59f31044e819440e61461795e4332bd4b40a2d910754227925fed08121888

Observation 13fdde39-941e-4283-a21f-601c97b424ee · outbound

This paper cites Scaling local self-attention for parameter efficient visual backbones,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Scaling local self-attention for parameter efficient visual backbones,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.793042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.556962Z digest=sha256:6282fb2267241e07edd7f6af0c2227bcbd4243cff92f7eb2073b09909125a411

Observation 0e3ff83e-60c3-4140-88a0-4ce3e10bf30a · outbound

This paper cites Exploring frequency-inspired optimization in transformer for efficient single image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Exploring frequency-inspired optimization in transformer for efficient single image super-resolution,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.781476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.561066Z digest=sha256:585afc72f9069a9641e23459d0c7a2f92dc41f152a79432f2894471ad77dbed5

Observation 2c2ab9b4-18bc-4633-a99e-4d84697c8331 · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Low- complexity single-image super-resolution based on nonnegative neighbor embedding,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.769632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.564576Z digest=sha256:e6a609758bdc32f0bae9690f0028f4cd84353eb88f5174b582125a3fac1ee610

Observation 9f5136cd-4539-4e41-8442-7b51baea5062 · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution On single image scale-up using sparse-representations,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.757237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.568766Z digest=sha256:e27315375d31141c28fa88ac02b5ee3ac1374b1bb32ff5b2874b449ccbbedbeb

Observation 6681d7be-2626-49d9-9ad1-28ca57445765 · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.744447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.572365Z digest=sha256:2d9c5949e60e1477676759cdd200f8ca3ce4d42b24bd759d944a79dab9673923

Observation 0685b978-9e31-4b9f-b6c7-b5fd765196a6 · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Sketch-based manga retrieval using manga109 dataset,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.732575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.575957Z digest=sha256:559b2d4b42630cfef6ea385b7bca683514eeb6c1a1599d683259dfbc66ac66dc

Observation 408ee3bb-f3a6-4ccc-ab4e-c20b0bd9394a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Adam: A Method for Stochastic Optimization

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T12:27:11.579601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:27:11.579601Z digest=sha256:195b4fccea68c4cd91db94651375a4e3f6f8fb9ee32856d395e774c526b168ec

Observation 9754f7b8-0086-4acc-bd5b-52ef10dbe890 · outbound

This paper cites Latticenet: Towards lightweight image super-resolution with lattice block,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Latticenet: Towards lightweight image super-resolution with lattice block,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.721493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.584215Z digest=sha256:0111d060d6478a6fbb93fa7ccbdcb3b2a02b1fbb7a544aaf9e2178114fee13c8

Observation cfca8485-c9e4-4e3c-8f13-3af5906602d9 · outbound

This paper cites N-gram in swin transformers for efficient lightweight image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution N-gram in swin transformers for efficient lightweight image super-resolution,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.709226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.588299Z digest=sha256:95bc01ca6901a5eb808744cdae259c077838d1fb36b83892b60af65570b6c2e1

Observation 50d74ff6-ab36-4120-bbfc-f09ff49cf13a · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Mambair: A simple baseline for image restoration with state-space model,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.696824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.591845Z digest=sha256:5649bf3409bc2dd1e4f2611906846942f43760c690befaffe6554a364d908768

Observation 64479224-da2c-4ab3-99d2-fdfd8d3b0eb5 · outbound

This paper cites Srconvnet: A transformer-style convnet for lightweight image super-resolution,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Srconvnet: A transformer-style convnet for lightweight image super-resolution,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.684542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.595464Z digest=sha256:9709845d4b465c0c46a6f8ba5d8d06c1d6826d623eb44f27a94b2944b3fc655a

Observation 7915ef26-db1c-4da6-b78d-582301b09e5e · outbound

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

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Dual aggregation transformer for image super-resolution,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.673642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.599868Z digest=sha256:84284791f583e2ecb684480a8eefaace53e700d66b5bf1ed91325cc6cd62459d

Observation 8ef2dd35-ca97-434f-bba0-96e946af96f5 · outbound

This paper cites Image super- resolution via efficient transformer embedding frequency decomposition with restart,.

MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution Image super- resolution via efficient transformer embedding frequency decomposition with restart,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:27:11.661861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:27:11.604333Z digest=sha256:21536d418767006fdae883f88bf1146c75b47342d337b240a5a3a63fa5841e8b

Pith citing papers

No inbound Pith citation observations are available.