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Paper Citation Record · LEDGER

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution

As of 21 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2504.18818.

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

pith.paper-citation-record.v1
2504.18818 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:12:33.473781Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

49 of 49 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c95a080-988b-4fcd-b857-f590606dd7e1 · outbound

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

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation afdc97c4-29c0-4972-ac17-e71c22988d60 · outbound

This paper cites Bevilacqua, A.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Bevilacqua, A

Reference 2

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Observation 79dccd8e-7072-4f97-8268-87c650e04ea8 · outbound

This paper cites RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets

Reference 3

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Observation 54b0bd10-f2e8-4ffa-8c92-4068aac9f3c9 · outbound

This paper cites Ciaosr: Continuous implicit attention-in- attention network for arbitrary-scale image super-resolution.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Ciaosr: Continuous implicit attention-in- attention network for arbitrary-scale image super-resolution

Reference 4

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Observation 45c87d51-e0d7-44ef-a44a-c0f0004014cb · outbound

This paper cites Deep local shapes: Learning local sdf priors for detailed 3d reconstruction.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Deep local shapes: Learning local sdf priors for detailed 3d reconstruction

Reference 5

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Observation fbb241e4-a0c8-4144-aa0d-b0160291707f · outbound

This paper cites Cascaded local implicit transformer for arbitrary-scale super-resolution.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Cascaded local implicit transformer for arbitrary-scale super-resolution

Reference 6

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Observation 53e6a0b5-e86a-43b7-9354-465e1c7dc341 · outbound

This paper cites Learning continuous image representation with local implicit image function.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Learning continuous image representation with local implicit image function

Reference 7

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Observation 2609a0cb-7032-4f8c-8139-0b531d0a9568 · outbound

This paper cites Fast fourier convolution.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Fast fourier convolution

Reference 8

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Observation 1e116491-124d-4717-b361-4ba354f4846c · outbound

This paper cites Omni-kernel network for image restoration.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Omni-kernel network for image restoration

Reference 9

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Observation da7d3e16-1ff6-4c3d-9d72-89a4c80b1a5c · outbound

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

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Image super-resolution using deep convolutional networks

Reference 10

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Observation 37b90ef7-641c-42fd-8311-d6cab00a0faf · outbound

This paper cites Efficient frequency-domain image deraining with contrastive regulariza- tion.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Efficient frequency-domain image deraining with contrastive regulariza- tion

Reference 11

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Observation 6fdb4cdd-cf45-4b44-92ad-05c4b93ecd24 · outbound

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

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Interpreting super-resolution networks with local attribution maps

Reference 12

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Observation 69c2fd3c-5f32-4c49-8977-c3591602d718 · outbound

This paper cites Meta-sr: A magnification-arbitrary network for super-resolution.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Meta-sr: A magnification-arbitrary network for super-resolution

Reference 13

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Observation 247ea530-c0fd-45ea-b696-35cc713796ca · outbound

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

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Single image super-resolution from transformed self-exemplars

Reference 14

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Observation 0a1ff471-48cc-44c9-86aa-9b6011a37d07 · outbound

This paper cites Adaptive frequency filters as efficient global token mixers.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Adaptive frequency filters as efficient global token mixers

Reference 15

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Observation c7728c52-5742-4f18-879a-dd32caecf0be · outbound

This paper cites Local implicit grid representations for 3d scenes.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Local implicit grid representations for 3d scenes

Reference 16

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Observation 457feb4e-dc68-4563-8a1f-d07c304ce3e1 · outbound

This paper cites Fabnet: Frequency- aware binarized network for single image super-resolution.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Fabnet: Frequency- aware binarized network for single image super-resolution

Reference 17

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Observation 026f5fa6-5bc3-4b05-bf17-02b1567890a6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Adam: A Method for Stochastic Optimization

Reference 18

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Observation b238bf60-6b17-444b-ba41-f002fda309ca · outbound

This paper cites Efficient frequency domain-based transformers for high-quality image deblurring.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Efficient frequency domain-based transformers for high-quality image deblurring

Reference 19

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Observation b001aa14-59e3-45e2-8105-18f5481f3e31 · outbound

This paper cites Local texture estimator for implicit representation function.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Local texture estimator for implicit representation function

Reference 20

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Observation 64514a6c-7c39-4735-afba-472986d50228 · outbound

This paper cites Feature modulation transformer: Cross-refinement of global representation via high- frequency prior for image super-resolution.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Feature modulation transformer: Cross-refinement of global representation via high- frequency prior for image super-resolution

Reference 21

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Observation 62ebc833-1ac4-4f56-ab46-b92b41690bf0 · outbound

This paper cites Swinir: Image restoration using swin transformer.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Swinir: Image restoration using swin transformer

Reference 22

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Observation dd4fa27f-45bf-47b2-a6e9-f4281d8945f8 · outbound

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

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Enhanced deep residual networks for single image super-resolution

Reference 23

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Observation 3835ebba-047c-4f4f-b27f-280b3b04756f · outbound

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

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 24

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Observation cfac8aab-0e18-46e1-84c5-2034d04615b2 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Pytorch: An imperative style, high-performance deep learning library

Reference 25

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Observation cf52a9f6-5eba-4179-8c79-98f0fa0adc92 · outbound

This paper cites Digital image processing algorithms and applications.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Digital image processing algorithms and applications

Reference 26

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Observation 40027630-942a-4ef8-8b34-cc1a17ded603 · outbound

This paper cites Leveraging frequency analysis for image denoising network pruning.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Leveraging frequency analysis for image denoising network pruning

Reference 27

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Observation 39d67985-754d-4e27-8f44-9648ba98846a · outbound

This paper cites Spectral representations for convolutional neural networks.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Spectral representations for convolutional neural networks

Reference 28

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Observation 066ffa21-2e51-41c6-9d52-e18bc8c0411c · outbound

This paper cites Graf: Generative radiance fields for 3d-aware image synthesis.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Graf: Generative radiance fields for 3d-aware image synthesis

Reference 29

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Observation cbd64a58-95e4-476a-bc02-1d8d1c5b8027 · outbound

This paper cites Scene representation networks: Continuous 3d-structure-aware neural scene representations.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Scene representation networks: Continuous 3d-structure-aware neural scene representations

Reference 30

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Observation aa558bf0-eaba-457b-94b6-6f188c937755 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 31

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Observation 4f1424b3-b450-4bce-ac82-366d2ae577aa · outbound

This paper cites Attention is all you need.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Attention is all you need

Reference 32

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Observation f60e9256-0e47-4dd0-bee2-34d708de15e7 · outbound

This paper cites Spatial-frequency mutual learning for face super-resolution.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Spatial-frequency mutual learning for face super-resolution

Reference 33

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Observation c2c189e3-1858-49b9-92cf-6f519e492304 · outbound

This paper cites High-frequency component helps explain the generalization of convolutional neural networks.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution High-frequency component helps explain the generalization of convolutional neural networks

Reference 34

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Observation b6de623f-dc1c-4bd7-b7b8-6929057eca33 · outbound

This paper cites Group shuffle and spectral-spatial fusion for hyperspectral image super-resolution.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Group shuffle and spectral-spatial fusion for hyperspectral image super-resolution

Reference 35

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Source-reported events for the cited work

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Observation b09b31a8-9b89-4ac9-b102-28af61f11e11 · outbound

This paper cites attention.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution attention

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 2026-08-21T06:32:19.484+00:00.

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Observation bc52c5fe-0fb7-4ce4-8054-9ddcb7e400e7 · outbound

This paper cites Super-resolution neural operator.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Super-resolution neural operator

Reference 37

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c7f265b2-9358-4b4c-9914-e387f20e130a · outbound

This paper cites Metalearning-based alternating minimization algorithm for nonconvex optimization.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Metalearning-based alternating minimization algorithm for nonconvex optimization

Reference 38

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c395150a-d0c1-4108-a36f-8e8654e91593 · outbound

This paper cites Blind super-resolution via meta-learning and markov chain monte carlo simulation.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Blind super-resolution via meta-learning and markov chain monte carlo simulation

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d7436512-25e7-40af-ac45-1efc17a58ce6 · outbound

This paper cites Residual quo- tient learning for zero-reference low-light image enhancement.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Residual quo- tient learning for zero-reference low-light image enhancement

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5eeaca59-6a97-4973-9eac-ba5ce892497d · outbound

This paper cites A dynamic kernel prior model for unsupervised blind image super-resolution.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution A dynamic kernel prior model for unsupervised blind image super-resolution

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dd3a5602-ff90-490e-a7e8-74b97b8a87f0 · outbound

This paper cites A fourier perspective on model robustness in computer vision.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution A fourier perspective on model robustness in computer vision

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:33.583479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9ad77497-206a-4b03-bbd8-d33453d577b8 · outbound

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

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution On single image scale-up using sparse-representations

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:33.574614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation abcc4982-a65a-46e2-a49c-c9cb33c802ce · outbound

This paper cites Anysr: Realizing image super-resolution as any-scale, any- resource.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Anysr: Realizing image super-resolution as any-scale, any- resource

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:33.565991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8c5555a3-fd37-45cd-89bd-099cd1bce855 · outbound

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

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Residual dense network for image super-resolution

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:33.555532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 071df5a0-1c59-4a62-93c8-627ff81b5bd3 · outbound

This paper cites Activating more information in arbitrary-scale image super-resolution.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Activating more information in arbitrary-scale image super-resolution

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:33.546295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4eef5b66-b97e-4fb4-ab2a-beeb45b00ca4 · outbound

This paper cites Efficient mixed transformer for single image super-resolution.

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Efficient mixed transformer for single image super-resolution

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:33.537451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:12:33.467944Z digest=sha256:f94cdb1571e257d8c5619a7aff448e8722d73c7cdfcaddbc5aae1ffc3f1e0e35

Observation 0b33d389-841d-425f-a44e-81c1eb32ff75 · outbound

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

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Srformer: Permuted self-attention for single image super-resolution

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:33.528443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b48b357a-1d67-4613-b535-cf807c8cb8ff · outbound

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

Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Image super-resolution via efficient transformer embedding frequency decomposition with restart

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:12:33.519548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Pith citing papers

No inbound Pith citation observations are available.