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Paper Citation Record · LEDGER

Distribution-aware Dataset Distillation for Efficient Image Restoration

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2504.14826.

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

pith.paper-citation-record.v1
2504.14826 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:44:04.606086Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:29:50.911450Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T18:29:51.390680Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy37
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74d5269c-295a-47b5-8576-c030288a89b5 · outbound

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

Distribution-aware Dataset Distillation for Efficient Image Restoration A high-quality denoising dataset for smartphone cameras

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e12aaca7-f40f-460c-a1dc-d7cf4a12ebf0 · outbound

This paper cites Defocus deblur- ring using dual-pixel data.

Distribution-aware Dataset Distillation for Efficient Image Restoration Defocus deblur- ring using dual-pixel data

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 860dbbfa-e8d6-410c-ae4c-b5e72a33074b · outbound

This paper cites Scail: Classifier weights scaling for class incremental learning.

Distribution-aware Dataset Distillation for Efficient Image Restoration Scail: Classifier weights scaling for class incremental learning

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b7a63113-4941-4344-baf7-14fbe65796d0 · outbound

This paper cites Dataset distillation by matching training trajectories.

Distribution-aware Dataset Distillation for Efficient Image Restoration Dataset distillation by matching training trajectories

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a70db344-0b96-4d10-a361-7cae056d32a4 · outbound

This paper cites Generalizing dataset dis- tillation via deep generative prior.

Distribution-aware Dataset Distillation for Efficient Image Restoration Generalizing dataset dis- tillation via deep generative prior

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.466151Z digest=sha256:b2e05714032a81873ab2bc3ff23a340777dd9400e6a5184866217825b592059c

Observation abc0a8b5-81e0-487f-bf8e-0df333028474 · outbound

This paper cites Pre- trained image processing transformer.

Distribution-aware Dataset Distillation for Efficient Image Restoration Pre- trained image processing transformer

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 45024eab-ce55-4360-af2b-33356f4b95de · outbound

This paper cites Trainable nonlinear reac- tion diffusion for image restoration.

Distribution-aware Dataset Distillation for Efficient Image Restoration Trainable nonlinear reac- tion diffusion for image restoration

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e199d870-472f-4555-8e0d-ff39424a236a · outbound

This paper cites A study in dataset distillation for image super-resolution.arXiv preprint arXiv:2502.03656, 2025.

Distribution-aware Dataset Distillation for Efficient Image Restoration A study in dataset distillation for image super-resolution.arXiv preprint arXiv:2502.03656, 2025

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 89556172-341a-4d42-a8b6-adaeef459bb4 · outbound

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

Distribution-aware Dataset Distillation for Efficient Image Restoration An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation accc4478-477f-492c-a2fa-1740c110770b · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Distribution-aware Dataset Distillation for Efficient Image Restoration YOLOX: Exceeding YOLO Series in 2021

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 93554d04-94a4-4ca5-acfb-d50f164c3922 · outbound

This paper cites Deep residual learning for image recognition.

Distribution-aware Dataset Distillation for Efficient Image Restoration Deep residual learning for image recognition

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cb926244-79d8-43ae-aa3f-a1934b9e51f9 · outbound

This paper cites Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation.

Distribution-aware Dataset Distillation for Efficient Image Restoration Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation

Reference 12

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raw_fallback, observed 2026-08-16T11:44:05.146342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.492744Z digest=sha256:c95d92a8ae9f0fcce41e43b161ddc47dbda023b9d2fd522b6f0015983f2aaf71

Observation 12a8e746-622c-4467-92bb-d287aa98dcb0 · outbound

This paper cites Scope of validity of psnr in image/video quality assessment.

Distribution-aware Dataset Distillation for Efficient Image Restoration Scope of validity of psnr in image/video quality assessment

Reference 13

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raw_fallback, observed 2026-08-16T11:44:05.135104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5b2196d6-076f-4c91-a527-31dcd3f35e93 · outbound

This paper cites Deblurgan: Blind motion deblur- ring using conditional adversarial networks.

Distribution-aware Dataset Distillation for Efficient Image Restoration Deblurgan: Blind motion deblur- ring using conditional adversarial networks

Reference 14

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raw_fallback, observed 2026-08-16T11:44:05.124087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.500068Z digest=sha256:a1fe0e8e65f807001b7551843089804799485cc17ba26bd0131aaef02c15aa95

Observation fd7e22b7-861f-4aef-9a0d-b724bf86574d · outbound

This paper cites Embedding fourier for ultra-high-definition low-light image 9 enhancement.

Distribution-aware Dataset Distillation for Efficient Image Restoration Embedding fourier for ultra-high-definition low-light image 9 enhancement

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-16T11:44:05.112583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 702235f4-151b-43d5-bab9-964dcbfa117e · outbound

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

Distribution-aware Dataset Distillation for Efficient Image Restoration Swinir: Image restoration us- ing swin transformer

Reference 16

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raw_fallback, observed 2026-08-16T11:44:05.100910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.507719Z digest=sha256:04f2a487cf977e2727c8e5b06c4d9ca0edbb45c3b9368b01e17f06a947d6c3cd

Observation 3e729773-0226-41ad-bb8b-31486b553e72 · outbound

This paper cites Low-level vi- sion and dynamic sampling for high-fidelity image restora- tion.

Distribution-aware Dataset Distillation for Efficient Image Restoration Low-level vi- sion and dynamic sampling for high-fidelity image restora- tion

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.511208Z digest=sha256:1c0218b40d8f899f2318b6e153238721dd652f927ebd09aee454cce9b6866482

Observation 910a9c94-96e5-4817-b04d-82088f7617cd · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Distribution-aware Dataset Distillation for Efficient Image Restoration SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 18

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no resolver link, observed 2026-08-16T11:44:04.515049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cc4b484b-ced6-463d-9bc2-fb734313bad2 · outbound

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

Distribution-aware Dataset Distillation for Efficient Image Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1ea6a1e9-20cd-487a-929a-abadc265cd08 · outbound

This paper cites Ramit: Reciprocal atten- tion mixing transformer for lightweight image restoration.

Distribution-aware Dataset Distillation for Efficient Image Restoration Ramit: Reciprocal atten- tion mixing transformer for lightweight image restoration

Reference 20

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raw_fallback, observed 2026-08-16T11:44:05.067103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cda067d9-1330-43eb-97af-2fc8b0859ae5 · outbound

This paper cites Dataset distillation with infinite ensembles.

Distribution-aware Dataset Distillation for Efficient Image Restoration Dataset distillation with infinite ensembles

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2421f077-8160-4ef7-8fe3-3cd2e45fd45c · outbound

This paper cites Continual lifelong learning with neural networks: A review.

Distribution-aware Dataset Distillation for Efficient Image Restoration Continual lifelong learning with neural networks: A review

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation edf0d3b0-de9f-491f-9510-5c6000d4d3a5 · outbound

This paper cites Freqformer: Frequency- aware transformer for lightweight image super-resolution.

Distribution-aware Dataset Distillation for Efficient Image Restoration Freqformer: Frequency- aware transformer for lightweight image super-resolution

Reference 23

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raw_fallback, observed 2026-08-16T11:44:05.036509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.534260Z digest=sha256:6ae6a80a2766eaf78c6f26ce8866f2189bb46f6851db9ef29e00d8d2a28141fb

Observation 090ed699-6ffe-4d21-a2a4-a95aa98ac939 · outbound

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

Distribution-aware Dataset Distillation for Efficient Image Restoration Benchmarking denoising al- gorithms with real photographs

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 23cff3ef-a3d3-49b8-9736-715d4d3e60d8 · outbound

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

Distribution-aware Dataset Distillation for Efficient Image Restoration Promptir: Prompting for all-in-one 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 2026-08-19T06:32:44.657259+00:00.

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Observation fa2ce519-b84c-4a2f-b1e5-b4b8a970b413 · outbound

This paper cites icarl: Incremental classi- fier and representation learning.

Distribution-aware Dataset Distillation for Efficient Image Restoration icarl: Incremental classi- fier and representation learning

Reference 26

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no resolver link, observed 2026-08-16T11:44:04.544867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a4aff17e-7459-46f7-b92f-703bd6456c5c · outbound

This paper cites Real- blur: A new dataset for realistic blur synthesis and deblur- ring.

Distribution-aware Dataset Distillation for Efficient Image Restoration Real- blur: A new dataset for realistic blur synthesis and deblur- ring

Reference 27

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raw_fallback, observed 2026-08-16T11:44:04.994902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f75af5c2-cbd4-4526-ba63-9b137f130ced · outbound

This paper cites Active learning for convo- lutional neural networks: A core-set approach.

Distribution-aware Dataset Distillation for Efficient Image Restoration Active learning for convo- lutional neural networks: A core-set approach

Reference 28

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raw_fallback, observed 2026-08-16T11:44:04.983117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ace7ee44-4996-419c-8c5c-fae7399246d1 · outbound

This paper cites Active learning literature survey.

Distribution-aware Dataset Distillation for Efficient Image Restoration Active learning literature survey

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 65e42cfc-dc19-4916-bdcf-e7a6763e114c · outbound

This paper cites Active learning literature survey.

Distribution-aware Dataset Distillation for Efficient Image Restoration Active learning literature survey

Reference 30

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raw_fallback, observed 2026-08-16T11:44:04.961211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.558450Z digest=sha256:753fb9c397da1b7e3ca90d9948deaa913fac7faf40b1f32200860ef0c90463cc

Observation cea9a2b2-390a-4a63-854a-2b0e89d948fd · outbound

This paper cites Adaptive data se- lection strategies for efficient deep learning.

Distribution-aware Dataset Distillation for Efficient Image Restoration Adaptive data se- lection strategies for efficient deep learning

Reference 31

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raw_fallback, observed 2026-08-16T11:44:04.949727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.561792Z digest=sha256:badd220995b266e81def20f2e96fba786a3333a57f2256f08033470c3cf7035e

Observation afc20140-eeb9-4395-aa35-a3ab418d41af · outbound

This paper cites Dataset distillation via optimal transport.

Distribution-aware Dataset Distillation for Efficient Image Restoration Dataset distillation via optimal transport

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-16T11:44:04.938078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.565453Z digest=sha256:e856a0cbc34d4f56b0744930f801a0ff31923edc1f8a2962e7d0b1bc728b45db

Observation 10159042-5ecd-4185-bd20-55a4d473a880 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Distribution-aware Dataset Distillation for Efficient Image Restoration Image quality assessment: from error visibility to structural similarity

Reference 33

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unresolved
no resolver link, observed 2026-08-16T11:44:04.568845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:44:04.568845Z digest=sha256:796f5acc268b092184c80d20671dbb888f8d6f26c1b9fa2a2a683c8d51ff6459

Observation 430db1b1-8b17-48bb-bcfa-f09a25d2e55f · outbound

This paper cites Dynamic dataset distillation with uncertainty estimation.

Distribution-aware Dataset Distillation for Efficient Image Restoration Dynamic dataset distillation with uncertainty estimation

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.572382Z digest=sha256:48e1d9304b89181e72375a7d0747b34f1af24a5cde30f674a7dc8d3339e83599

Observation c432a543-1fca-499d-a5ab-93fd5ab61bf8 · outbound

This paper cites Deep joint rain detection and removal from a single image.

Distribution-aware Dataset Distillation for Efficient Image Restoration Deep joint rain detection and removal from a single image

Reference 35

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raw_fallback, observed 2026-08-16T11:44:04.908475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dcdba48b-a1ad-46ed-920e-2fd37643e010 · outbound

This paper cites Im- age restoration with deep learning: A review.IEEE Transac- tions on Neural Networks and Learning Systems , 32:1967– 1985, 2020.

Distribution-aware Dataset Distillation for Efficient Image Restoration Im- age restoration with deep learning: A review.IEEE Transac- tions on Neural Networks and Learning Systems , 32:1967– 1985, 2020

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5db1d57e-4b6b-481c-9ea7-5998f7240634 · outbound

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

Distribution-aware Dataset Distillation for Efficient Image Restoration Restormer: Efficient transformer for high-resolution image restoration

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:44:04.886364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 55d618cc-4b60-4c50-b84d-bc18302edb04 · outbound

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

Distribution-aware Dataset Distillation for Efficient Image Restoration Density-aware single image de-raining using a multi-stream dense network

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:44:04.874999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f00418d6-6bc8-4a4f-b7a7-c02924368bb9 · outbound

This paper cites Image de-raining using a con- ditional generative adversarial network.

Distribution-aware Dataset Distillation for Efficient Image Restoration Image de-raining using a con- ditional generative adversarial network

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:44:04.863236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.589090Z digest=sha256:214349aad736bfd26e51d99a1c5e854e7697da130e29951e176155fde23b10a8

Observation 611c7549-6e30-439f-801d-8e036422967c · outbound

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

Distribution-aware Dataset Distillation for Efficient Image Restoration Beyond a gaussian denoiser: Residual learn- ing of deep cnn for image denoising

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:44:04.851478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation df8877ec-9ef9-4bf2-8868-da2914848f46 · outbound

This paper cites Im- age deraining with feature attention.

Distribution-aware Dataset Distillation for Efficient Image Restoration Im- age deraining with feature attention

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:44:04.840413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b1794a86-c18b-42ec-9b69-acd46797a1d1 · outbound

This paper cites Im- age restoration: A comprehensive review.

Distribution-aware Dataset Distillation for Efficient Image Restoration Im- age restoration: A comprehensive review

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:44:04.828020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6c8eb506-bdd2-4821-ad92-bcb0c34ab88e · outbound

This paper cites Dataset condensation with gradi- ent matching.

Distribution-aware Dataset Distillation for Efficient Image Restoration Dataset condensation with gradi- ent matching

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:44:04.816372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.602652Z digest=sha256:dc99333b5e40140bf7208fc739215b1aaf60540ab2627cfad774b7bc1fe6e783

Observation 7bafb604-d1f6-45de-82df-22f1b86b25ba · outbound

This paper cites Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation.

Distribution-aware Dataset Distillation for Efficient Image Restoration Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation

Reference 44

Resolution
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local_arxiv, observed 2026-08-16T11:44:04.643676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:44:04.606086Z digest=sha256:6f3f4078f9fc15dbb791f21e3590219b9945890d7d550efb698efc8d2dfe6cde

Pith citing papers

Observation f79087b9-7b69-4ed4-a35f-cd9fdfaa1e22 · inbound

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions cites this paper.

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions Distribution-aware Dataset Distillation for Efficient Image Restoration

Reference 196

Resolution
verified exact
local_arxiv, observed 2026-08-08T18:29:51.394764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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