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Paper Citation Record · LEDGER

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness

As of 4 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2602.22159.

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

pith.paper-citation-record.v1
2602.22159 v4

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:47:48.584807Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

36 of 36 outbound references displayed

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Outbound references

Observation 00f86b8f-f20f-42cf-9499-e4d35cc5afe9 · outbound

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

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation d58126e1-1b66-49ad-b60a-05f6fc470725 · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Multidiffusion: Fusing diffusion paths for controlled image generation

Reference 2

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Observation f22f2b7f-0666-4eb7-9dd8-38bc383bb787 · outbound

This paper cites The 2018 pirm challenge on percep- tual image super-resolution.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness The 2018 pirm challenge on percep- tual image super-resolution

Reference 3

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Observation 60d9ff57-ac63-41f6-af78-e02d76701785 · outbound

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

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Toward real-world single image super-resolution: A new benchmark and a new model

Reference 4

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Observation 91fb0f1f-fd45-4a88-9cb2-0aae31dc0f13 · outbound

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

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Ciaosr: Continuous implicit attention-in- attention network for arbitrary-scale image super-resolution

Reference 5

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Observation d89d611e-0232-4dc9-8e8e-2ba1232d7dc8 · outbound

This paper cites Glean: Generative latent bank for large-factor image super-resolution.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Glean: Generative latent bank for large-factor image super-resolution

Reference 6

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Observation 745bce7a-da1c-4696-b697-5132361a38e6 · outbound

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

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Activating more pixels in image super- resolution transformer

Reference 7

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Observation 2f1cb8b6-a8c8-47cd-973e-c1aa141d4846 · outbound

This paper cites Learning con- tinuous image representation with local implicit image func- tion.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Learning con- tinuous image representation with local implicit image func- tion

Reference 8

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Observation 0e3ed440-eabf-4b89-bf05-bb587087c7ec · outbound

This paper cites Implicit diffusion models for continuous super-resolution.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Implicit diffusion models for continuous super-resolution

Reference 9

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Observation a379eb0a-1038-4635-8a85-6f1c83bece91 · outbound

This paper cites Div8k: Diverse 8k resolution image dataset.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Div8k: Diverse 8k resolution image dataset

Reference 10

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Observation 8b866e49-d3a9-4492-9e7b-2ce55884c5d6 · outbound

This paper cites Cascaded diffu- sion models for high fidelity image generation.Journal of Machine Learning Research, 23(47):1–33, 2022.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Cascaded diffu- sion models for high fidelity image generation.Journal of Machine Learning Research, 23(47):1–33, 2022

Reference 11

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Observation 47a34e2e-4162-4b98-a1e5-1eca19e5c830 · outbound

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

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Meta-sr: A magnification-arbitrary network for super-resolution

Reference 12

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Observation 7348383f-247e-4b60-b23a-b165762d378c · outbound

This paper cites Mixture of Diffusers for scene composition and high resolution image generation.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Mixture of Diffusers for scene composition and high resolution image generation

Reference 13

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Observation 52118b50-12e2-4eb2-8d13-44a1479aa315 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 14

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source=pdf_text observed=2026-08-02T20:47:46.194746Z digest=sha256:5ac3b5e6f852c91db8aa26817cf1c6ba7605dba4d3faef8704ededf98089965c

Observation 2b1039b1-7605-42c5-a728-871a70191ea6 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness A style-based generator architecture for generative adversarial networks

Reference 15

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Observation 11b69f83-4f89-4006-b2f5-fd018ce12c08 · outbound

This paper cites Musiq: Multi-scale image quality transformer.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Musiq: Multi-scale image quality transformer

Reference 16

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Observation 5684a13f-09e1-4685-bd95-747adf1d8f35 · outbound

This paper cites Arbitrary-scale image gen- eration and upsampling using latent diffusion model and im- plicit neural decoder.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Arbitrary-scale image gen- eration and upsampling using latent diffusion model and im- plicit neural decoder

Reference 17

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Observation bc718843-deca-4484-9d45-a312a40c1b98 · outbound

This paper cites Segment any- thing.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Segment any- thing

Reference 18

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Observation 6bd42b49-08f8-42c2-8b83-1190bd2f8f94 · outbound

This paper cites Pulse: Self-supervised photo upsam- pling via latent space exploration of generative models.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Pulse: Self-supervised photo upsam- pling via latent space exploration of generative models

Reference 19

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Observation 274ebfb5-15c8-48d2-b2f1-bcc3a391ce52 · outbound

This paper cites completely blind.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness completely blind

Reference 20

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Observation ad59abc7-eb31-4050-b18c-1227a24ef954 · outbound

This paper cites Zero-shot text-to-image generation.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Zero-shot text-to-image generation

Reference 21

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Observation e4023c83-a901-43c4-a923-f3d5870b9d2a · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 22

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Observation 61d8f14a-320c-4663-8d47-b630a531faae · outbound

This paper cites Image super- resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726,.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Image super- resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726,

Reference 23

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Observation 08a8fc40-c35a-45ca-a347-1613e5d6344b · outbound

This paper cites Adversarial diffusion distillation.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Adversarial diffusion distillation

Reference 24

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Observation 609c7e0e-b5a8-41df-a98d-637eddded6ac · outbound

This paper cites Sin- gan: Learning a generative model from a single natural im- age.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Sin- gan: Learning a generative model from a single natural im- age

Reference 25

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Observation a0fbbdda-f112-4d3f-8233-0200b0a1d6e5 · outbound

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

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 26

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Observation f1fae3fb-b26f-4db9-b25f-d63e288e730b · outbound

This paper cites Boosting flow-based generative super-resolution models via learned prior.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Boosting flow-based generative super-resolution models via learned prior

Reference 27

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Observation 7d4f3fc5-ffaa-49d6-8fbe-4fabdeaac484 · outbound

This paper cites Deep arbitrary-scale image super-resolution via scale-equivariance pursuit.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Deep arbitrary-scale image super-resolution via scale-equivariance pursuit

Reference 28

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Observation 47b8e63a-0f86-40a0-9652-b8f195f14f6e · outbound

This paper cites Su- perpixel segmentation with fully convolutional networks.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Su- perpixel segmentation with fully convolutional networks

Reference 29

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Observation 32010f34-2b38-49bf-8720-d50c523a5fcb · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Depth anything: Unleashing the power of large-scale unlabeled data

Reference 30

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Observation 8c4d76f6-bbfa-45a9-8767-d3ae9708a197 · outbound

This paper cites Inf-dit: Upsampling any-resolution image with memory- efficient diffusion transformer.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Inf-dit: Upsampling any-resolution image with memory- efficient diffusion transformer

Reference 31

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Observation f913c8a6-fc44-4814-b707-6d8be93d3e38 · outbound

This paper cites Local implicit normalizing flow for arbitrary-scale image super-resolution.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Local implicit normalizing flow for arbitrary-scale image super-resolution

Reference 32

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Observation 2a791e34-b4c0-418f-8942-616fcadaa181 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Adding conditional control to text-to-image diffusion models

Reference 33

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Observation fbb9a62b-969a-4efb-85e3-2de2820e3dfb · outbound

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

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness The unreasonable effectiveness of deep features as a perceptual metric

Reference 34

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Observation b24a74e6-cef6-43e2-84a5-863b5655d377 · outbound

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

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Image super-resolution using very deep residual channel attention networks

Reference 35

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This paper cites Recognize anything: A strong image tagging model.

CASR: A Robust Cyclic Framework for Arbitrary Large-Scale Super-Resolution with Distribution Alignment and Self-Similarity Awareness Recognize anything: A strong image tagging model

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