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Paper Citation Record · LEDGER

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration

As of 17 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2507.17892.

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

pith.paper-citation-record.v1
2507.17892 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:23:09.648967Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:29:47.596119Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:32:44.085243Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact1
  • verified fuzzy45
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a24878bb-dcb6-4137-bf64-4ba21244d2c0 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration A high-quality denoising dataset for smartphone cameras

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.427100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.427100Z digest=sha256:d2a1eba94c5f49366fb72da510889919dff869ac7bf59d1664cff1c48cea6ae5

Observation 0fd3d0e4-e3b0-4051-8d42-b9172f2c5964 · outbound

This paper cites Defocus deblurring using dual-pixel data.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Defocus deblurring using dual-pixel data

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.346288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.432404Z digest=sha256:6910c0fdf1d0b9e41a952068ead69d4c6d29abcb8b293e54fdcb054798d83e85

Observation 314a0e33-1dd1-47b2-b371-6d613fff0ed4 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Learning to reduce defocus blur by realistically modeling dual-pixel data

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.335421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.436722Z digest=sha256:7eed74f0f56f1cc9a285f7fcbee27e7d3da56dabca99f88c817b8dbc5edeba23

Observation 7773defd-30be-4344-800f-76e76813080c · outbound

This paper cites Digital image restoration.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Digital image restoration

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.323767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.441024Z digest=sha256:6a91ee1261511bcf855430c62e3f626f5d7f6a50339d6fe7cdd012a0531dc352

Observation 85c96dfa-fc55-4be6-a5a6-e291a511d2d1 · outbound

This paper cites Simple baselines for image restoration.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Simple baselines for image restoration

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.311607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.444987Z digest=sha256:ebf5dba69426ed73cdcc7f2261cc67535c64c37b051ca9b2560b581438e5d864

Observation 91876f1b-cd92-459f-b907-f20e5849bd42 · outbound

This paper cites Lgit: local--global interaction transformer for low-light image denoising.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Lgit: local--global interaction transformer for low-light image denoising

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.299839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.448978Z digest=sha256:9f3605c5bcf6c264f269d43f3886c9fd6d8f402e3bd9e266b1d6916aa0c4447f

Observation 5434e304-925d-4c4c-bb71-99e5d7ac1ba4 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Rethinking coarse-to-fine approach in single image deblurring

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.287609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.453168Z digest=sha256:6a301a10c21ad1374f55d642d1dc582903802aeabbf0182ac2d40062f7363180

Observation 90d954be-f44e-471c-8919-890ca76848bf · outbound

This paper cites Improving image restoration by revisiting global information aggregation.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Improving image restoration by revisiting global information aggregation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.274738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.456834Z digest=sha256:0e5e763ba4ae2bea9457ec761fa2f49772c69bebe81d49839a999af99e622e3b

Observation e23f6dc9-4a18-4d0c-9cec-25797e0e6172 · outbound

This paper cites Image denoising by sparse 3-d transform-domain collaborative filtering.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Image denoising by sparse 3-d transform-domain collaborative filtering

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.261315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.460684Z digest=sha256:cc85f130d9cae8262c8f5297be5ea58b579ea7adf2a4f061b68addf44c716d5e

Observation b1998291-9732-44ad-a673-37dd6238c36f · outbound

This paper cites Cu-mamba: Selective state space models with channel learning for image restoration.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Cu-mamba: Selective state space models with channel learning for image restoration

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.250172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.464549Z digest=sha256:2f3e0a94251c567ffca84f327116063a2d53827d7ccdf3b8a73c6f1286c4ce5d

Observation a8114314-d4fc-44c7-b389-ebf0b70ad37f · outbound

This paper cites Perceptual enhancement for autonomous vehicles: Restoring visually degraded images for context prediction via adversarial training.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Perceptual enhancement for autonomous vehicles: Restoring visually degraded images for context prediction via adversarial training

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.239341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.467792Z digest=sha256:477db29ec5ffa3592508d0d407368303668b6c1e454a7497047591d20915648f

Observation b56c80d0-2b2d-413b-a3ab-cd99f12dc9ae · outbound

This paper cites Masked Autoencoders as Image Processors.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Masked Autoencoders as Image Processors

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:23:09.737732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.471165Z digest=sha256:236d3ac3fe3b97efcfe6b439ce10b5e997a4f4e710c4dab66525a9db80feaaaf

Observation 8e8dc866-c49b-43cc-9232-8f6d78eb7b28 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Mambair: A simple baseline for image restoration with state-space model

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.227934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.474766Z digest=sha256:0fb2b3020f2dad0cfabbfafdcc5a97d12356315927de579c34db42077689c794

Observation b750efc0-5db1-4d72-9fe1-413775821ac3 · outbound

This paper cites Dilated Neighborhood Attention Transformer.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Dilated Neighborhood Attention Transformer

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.478106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.478106Z digest=sha256:6363382c8a5d4b03b15618a0e134e0c81fce3b52eafe66ee29cb9042da5acf49

Observation 3ab6f00a-f242-4409-9abf-6adbebc67f1b · outbound

This paper cites Neighborhood attention transformer.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Neighborhood attention transformer

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.215502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.481498Z digest=sha256:5feabdcb69ebc0154c5835ede94abb9d978c219d28a09754614cfa4cac662d2d

Observation f4cbf777-8714-48a4-aa38-d7e172675c66 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.485919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.485919Z digest=sha256:9ae60944bd173d9af08416d6c093f85be787c50a88a0b1b9c67fa92fcb6561d1

Observation f7a3d590-8982-4839-aad1-3375421189d7 · outbound

This paper cites Dilated fully convolutional neural network for depth estimation from a single image.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Dilated fully convolutional neural network for depth estimation from a single image

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.195481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.489479Z digest=sha256:8c9a00c8850a7e451f7a5b0307952169e67b0b495e65f767ba9feba8a4393e8a

Observation 9a21430b-6773-4840-97d3-fcd4ea1a1925 · outbound

This paper cites Spach transformer: Spatial and channel-wise transformer based on local and global self-attentions for pet image denoising.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Spach transformer: Spatial and channel-wise transformer based on local and global self-attentions for pet image denoising

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.183361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.493153Z digest=sha256:07cffc209fd2dbfd5bf55529542222c69cbe66022d3a701d8b24105bf2873399

Observation 2101b4af-43e4-49ee-bba3-d0197df53eb9 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Multi-scale progressive fusion network for single image deraining

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.171225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.497656Z digest=sha256:a50a0f94b78086da9247e107e531d81cd1ae6675223a93042ea5aed78176a25d

Observation 6a28515b-8cce-4a96-952b-7d6372aa706b · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Edge-based defocus blur estimation with adaptive scale selection

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.158603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.502197Z digest=sha256:eb780cecad280f5b1103c8403bba01d180b4e9d4b95deb315052e4d81cd15b21

Observation c16ee674-8db3-4add-8c09-d7ceb0559bb8 · outbound

This paper cites Deep defocus map estimation using domain adaptation.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Deep defocus map estimation using domain adaptation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.145246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.505990Z digest=sha256:54eb620155cd2ec0a955777c27045ba1b5734f66afc503f8ea6258cac24831ef

Observation dd6a37ab-97e7-4bc0-a4f2-cdb133dbc1f7 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Iterative filter adaptive network for single image defocus deblurring

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.132822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.509602Z digest=sha256:9658f2f3ca0b0897ce28901fe479d3bd9b906b329bbaff25df4ffa40f6b02f0d

Observation 0de5be71-1d14-4da0-83fa-ea6bd1f4cdbb · outbound

This paper cites Mair: A locality- and continuity-preserving mamba for image restoration.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Mair: A locality- and continuity-preserving mamba for image restoration

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.120378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.513324Z digest=sha256:5fd8dcb69a691d19b334257d4d497440912224b52c5323e909e5ff8de74e5a1f

Observation ed2cb9ee-c661-45f8-8327-bc0a4f6748c1 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Recurrent squeeze-and-excitation context aggregation net for single image deraining

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.108341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.517216Z digest=sha256:13c71e3b2c7b199b72b7585fa271e5089635a162f8fcafe0bfaee3d5d4c3c766

Observation a30546a6-271b-440c-b2dd-e85260eb201a · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Efficient and explicit modelling of image hierarchies for image restoration

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.096219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.520994Z digest=sha256:369ce674d041f33a439a969c75981f82940027d5df9a83d0c668844e5d2eb1e0

Observation d0f055f0-a912-45d6-a727-d1e45c7467a8 · outbound

This paper cites Swinir: Image restoration using swin transformer.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Swinir: Image restoration using swin transformer

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.525657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.525657Z digest=sha256:0fbb94375a99b4a60aff6ed063d711b0a83ddce2a43d8858165492253fc4f66b

Observation 92df31ae-1835-47bf-9a39-a431ac227f2a · outbound

This paper cites Network In Network.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Network In Network

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.529421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.529421Z digest=sha256:a7bbf368d2a21755c9c397af943b7100950cc12ab5b73c825653c6ceb26ca653

Observation d46fb47d-2df2-4ce7-a6f4-9ed7d702ecd3 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Swin transformer: Hierarchical vision transformer using shifted windows

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.534038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.534038Z digest=sha256:8a301b025c1e81bf807ed5df973a36eda74015cb22a67ea66a65432499a42fa2

Observation 86a2e81e-33f1-4568-9fbf-eec27dc99a5d · outbound

This paper cites Decoupled Weight Decay Regularization.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Decoupled Weight Decay Regularization

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.537682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.537682Z digest=sha256:b22a001b89a1c288aae71185284e7ecae9caf54e4720bed870c96ccf4743a1dc

Observation deeafc3a-2797-43b4-90f4-30294be107ae · outbound

This paper cites Dynamic attentive graph learning for image restoration.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Dynamic attentive graph learning for image restoration

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.068844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.541857Z digest=sha256:3cbf16d124b1daffc78798627e6c2d78b97735e223ad00639b9fa0843f015033

Observation 82a51990-b931-4e40-ace0-a999083a2aac · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.545597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.545597Z digest=sha256:03905ea3c4ab36689516b31cb82e3bce7f143b7e2ab136d3e4d7dddd692ca063

Observation 9b7f2d47-f983-48fe-b481-75557258437c · outbound

This paper cites Multi-temporal recurrent neural networks for progressive non-uniform single image deblurring with incremental temporal training.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Multi-temporal recurrent neural networks for progressive non-uniform single image deblurring with incremental temporal training

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.050449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.549162Z digest=sha256:7e7b76760e84a552b042aabba83b70885ac720bd7f62b397adf7e0736440fd2a

Observation 9f6d7671-c5e7-4e25-b7e1-6711a2c79e43 · outbound

This paper cites On aliased resizing and surprising subtleties in gan evaluation.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration On aliased resizing and surprising subtleties in gan evaluation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.552426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.552426Z digest=sha256:49405273dc4493e5c5515af40290ee99324dff22174617e903801fbc840a9e65

Observation 27a4dc7e-7815-49bb-9c84-598d5053b184 · outbound

This paper cites Spatially-adaptive image restoration using distortion-guided networks.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Spatially-adaptive image restoration using distortion-guided networks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.031355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.555446Z digest=sha256:e1092af4377dcec992642394702955dc5d3da699f089f5bc323baacd8a493efd

Observation efe2da30-8037-42cb-a50c-58d0220fd875 · outbound

This paper cites Image restoration for remote sensing: Overview and toolbox.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Image restoration for remote sensing: Overview and toolbox

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.019946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.558523Z digest=sha256:d97b37d951cc1127685c4abd0f2532fc22f1d209d67c274763d348b48a146c0e

Observation efcf9df8-d3f9-45dd-a450-e4b7a645d5d2 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Progressive image deraining networks: A better and simpler baseline

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:10.006773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.561943Z digest=sha256:a994e7ea952f82693e9b59f53360fd1597722e01c1885659f4dcedaa2f8e417a

Observation 637734e7-7aa2-4363-ada3-263d8bbd236d · outbound

This paper cites Human-aware motion deblurring.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Human-aware motion deblurring

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.992378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.565201Z digest=sha256:47a618c2f71b8869a5ac933947d39890537fcf3057cb3e6801c32c2d39d0586b

Observation e8d8fbd9-7937-4fcf-b195-29e4f56eb7b6 · outbound

This paper cites Just noticeable defocus blur detection and estimation.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Just noticeable defocus blur detection and estimation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.980136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.568955Z digest=sha256:b04ac145e0b97eca76b02ae4b990eb205bc64ac3fc6cedf6032ca6d95a72f7f2

Observation 446d11e4-45ca-4942-aafd-ae320c3e73c7 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Single image defocus deblurring using kernel-sharing parallel atrous convolutions

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.967830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.573380Z digest=sha256:ce3260d6729da83729ac6c70dfe02524c94a755039c415cf044234cb92bbe9d4

Observation 49d16ef7-3077-4c60-ab69-678ed95892ae · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Scale-recurrent network for deep image deblurring

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.955332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.577027Z digest=sha256:2349d38b0f02fd136e4186e7504d525c983dfcdce6ff37fab8bedfa8478e968a

Observation f6293f03-04c2-4fd1-a5c5-eb842780c4bb · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Stripformer: Strip transformer for fast image deblurring

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.942816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.580569Z digest=sha256:28ccad3f136e552d0de727eacd9b679cdc42ab129310e96dfc9bc064911df4c6

Observation 619f9dca-d3f1-4a41-a45f-07bbc4bc69a2 · outbound

This paper cites Attention is all you need.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Attention is all you need

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.584268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.584268Z digest=sha256:e8cdb511d9562e096dc6a331b86195dd3d8fc2a4fedbb41bd90ad2a6db9fea3e

Observation 1e03f1ad-80e1-45fb-88af-10734757eada · outbound

This paper cites Eca-net: Efficient channel attention for deep convolutional neural networks.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Eca-net: Efficient channel attention for deep convolutional neural networks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.923161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.587827Z digest=sha256:79d7a1bfd60ddf3b8961c7e30cc6454e09b2cf9ea8b6164aa58fda780c12577f

Observation b053ac8d-fe7f-464c-9661-6d93bb2f8507 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Uformer: A general u-shaped transformer for image restoration

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.911041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.592160Z digest=sha256:9581513af9b86244575989743146a51ed5b4fc2d65a87d57ca8b670a4feda21f

Observation b6ef084b-3087-42ac-b826-83b9e15012d2 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Semi-supervised transfer learning for image rain removal

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.899627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.596317Z digest=sha256:67e83a60084b37005e450b0febf0bc878a9d62fcda1ce7174b902a4b6daa8726

Observation b838f17b-0ae0-4cef-8f22-655d87e51b02 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.888572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.599985Z digest=sha256:557ba53f533c14c5585e223d3e144cb897391984f9624272d3ab694dff312fc9

Observation 7b1ab89a-ac14-48ab-a4ec-d70631d140e5 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Variational denoising network: Toward blind noise modeling and removal

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.877569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.603750Z digest=sha256:394ab4ee279fe62f4da789c3b82aa99d5abd8238b9774dd6dd6b36ce9af129c2

Observation cb5154f9-3f49-4391-8159-4f72d9353a9e · outbound

This paper cites Learning enriched features for real image restoration and enhancement.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Learning enriched features for real image restoration and enhancement

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.865772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.607545Z digest=sha256:2d8a1f715c9ce871d257d50d5f2bad7e09ab9c07976cdc4dfc3c642d6362acf2

Observation 4def475b-e846-4231-a253-7be329b6317b · outbound

This paper cites Multi-stage progressive image restoration.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Multi-stage progressive image restoration

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.853497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.611229Z digest=sha256:b153c893a0705f1575cb18e0bb4017758c266d00437c49e7e7d25d0594ca23f5

Observation 830a6246-0834-4510-9e86-852632e77ed3 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Restormer: Efficient transformer for high-resolution image restoration

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.841120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.615050Z digest=sha256:798109af3bfff75b79a01a51fb9ad62c4fa9fe389739d6351972928faaa1ea0e

Observation 104cafcb-32ee-4639-8b40-010ee0d1366f · outbound

This paper cites A review on deep learning in medical image reconstruction.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration A review on deep learning in medical image reconstruction

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.827934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.619447Z digest=sha256:4f6e3ef48c800f8d2a48c6ea07744acf9ec9c6116dd3b53f0fe90d5f1ce7cd0b

Observation ac0ec589-d8ab-4ee8-86aa-16799ca4885c · outbound

This paper cites Density-aware single image de-raining using a multi-stream dense network.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Density-aware single image de-raining using a multi-stream dense network

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.815334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.623128Z digest=sha256:6859050f9b11520b12a7c5969456c4daabd92a097ec61f901690d799ff703dcb

Observation c5a14049-faf7-4874-a1d3-336ec8e6a2a9 · outbound

This paper cites Accurate Image Restoration with Attention Retractable Transformer.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Accurate Image Restoration with Attention Retractable Transformer

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.626940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.626940Z digest=sha256:9f6dd10057f468d83450276933f04a6b1aed7f1ab1478494e6da1240c6cd48c7

Observation 1e71776e-e97b-487f-ba06-1f9762eaaafa · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.803015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.630897Z digest=sha256:dd5cc6a5cd8e03e0e19928efd0f11e5d44bd29c7d168cd3bb5652ec303b2388d

Observation e4458821-2529-4eed-ba07-2a9364c48778 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Learning deep cnn denoiser prior for image restoration

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.789536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.634269Z digest=sha256:c3cf013de104427fde7df688dc0ed93f892cf38a755f41168cde7aafd1958277

Observation 2647b559-58e7-427e-abf6-5f8b7ccb702b · outbound

This paper cites Deblurring by realistic blurring.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Deblurring by realistic blurring

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.777299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.637452Z digest=sha256:8e6f55611a8967bbb3a2db8c30012168aa186d87d1742814ff001c0d571a9421

Observation 8bc12ebd-3cea-4f74-b261-50d01b972840 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration The unreasonable effectiveness of deep features as a perceptual metric

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.640678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.640678Z digest=sha256:32e6b98d566ac34cde3f363fc7476c36f32a634940246ddb24c56e0d60a97263

Observation 60830112-326f-40ed-a410-54fef6d8d9c1 · outbound

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

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration Comprehensive and delicate: An efficient transformer for image restoration

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:23:09.758041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T18:23:09.644022Z digest=sha256:0d57d19c13f261147698b7169abb2a5775ed19eeba9acddb76678606e5aac2ed

Observation 895d04fc-9190-4ab2-b700-2134f23925a4 · outbound

This paper cites write newline.

DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration write newline

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T18:23:09.648967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:23:09.648967Z digest=sha256:2f5209b1d651c7a294c1db6ecb7e396a8763e2cac1479ef0fbda1204c79702fb

Pith citing papers

Observation 33708ef8-221f-40ab-8039-ab69328745e5 · inbound

UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration cites this paper.

UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:49:08.127057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-17T05:48:39.717268Z digest=sha256:ffadbf76181f89ecc5fbdbc7374ea1749ee75b9b00a4e1fb57e44a10aee53e5e

Observation 15b83f00-1db5-4da0-bae3-5a832391db26 · inbound

SurGe: Improved Surface Geometry in Point Maps cites this paper.

SurGe: Improved Surface Geometry in Point Maps DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:32:44.086889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T22:29:47.596119Z digest=sha256:31419b3726e5ca84f90bf175f4e37d0675f1d147bb5d3bd0414f5296c8c3e69d