Paper Citation Record · LEDGER

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:1908.06382.

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

pith.paper-citation-record.v1
1908.06382 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:51:03.350275Z

measured 43 of 43 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 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

43 of 43 outbound references displayed

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verified fuzzy33
unresolved7
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External citation measurements

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Outbound references

Observation 00b5fbac-ecf4-474c-8433-aef62c16465e · outbound

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

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.802420Z

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Observation aae0e70d-2328-46bb-83be-de425e87bf65 · outbound

This paper cites The 2018 PIRM Challenge on Perceptual Image Super-resolution.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution The 2018 PIRM Challenge on Perceptual Image Super-resolution

Reference 2

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Observation 62c7c786-5a77-462c-81af-88720065c9ee · outbound

This paper cites The perception-distortion tradeoff.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution The perception-distortion tradeoff

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.793249Z

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Observation 176d4cfb-6458-41ae-a7c1-e75962f8ec03 · outbound

This paper cites Deep neural networks for no-reference and full-reference image quality assessment.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Deep neural networks for no-reference and full-reference image quality assessment

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.785361Z

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Observation 2448dbe8-1792-4212-a423-342c87181f0f · outbound

This paper cites a ckinger, and Roopak Shah. Signature verification using a.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution a ckinger, and Roopak Shah. Signature verification using a

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.778561Z

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Observation 4319e4b4-4c1a-4ef2-8b0f-c524f1666576 · outbound

This paper cites Super-Resolution with Deep Convolutional Sufficient Statistics.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Super-Resolution with Deep Convolutional Sufficient Statistics

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T12:51:03.242837Z

Source-reported events for the cited work

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Observation efd30582-06dd-4147-a32c-f85f16ab0a97 · outbound

This paper cites Learning to rank using gradient descent.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Learning to rank using gradient descent

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.770635Z

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Observation 4f273fab-c564-4157-ad77-9a4957f0b364 · outbound

This paper cites Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:51:03.522878Z

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Observation 75d0f776-6450-4d9c-a5cc-95af0e14849e · outbound

This paper cites Learning a similarity metric discriminatively, with application to face verification.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Learning a similarity metric discriminatively, with application to face verification

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.762190Z

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Observation d367f756-5d3a-4541-8dea-06200d13128b · outbound

This paper cites Learning a deep convolutional network for image super-resolution.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Learning a deep convolutional network for image super-resolution

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.755210Z

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Observation 7a11cee7-c6ff-40a6-b9c7-d95a2c7ad887 · outbound

This paper cites Accelerating the super-resolution convolutional neural network.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Accelerating the super-resolution convolutional neural network

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.747929Z

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Observation b0ab1e39-7793-4dbe-863b-e792a956fa7b · outbound

This paper cites Generating images with perceptual similarity metrics based on deep networks.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Generating images with perceptual similarity metrics based on deep networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.739933Z

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Observation ade4306d-d8ee-4ab9-88f9-a87477cfc406 · outbound

This paper cites Suppressing model overfitting for image super-resolution networks.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Suppressing model overfitting for image super-resolution networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.731861Z

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Observation 4669d498-7011-4b55-82c4-d033bd534f2f · outbound

This paper cites Blind super-resolution with iterative kernel correction.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Blind super-resolution with iterative kernel correction

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.723756Z

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Observation 41fd68f7-f8ee-4f27-83e1-d0b7122128b6 · outbound

This paper cites Deep backprojection networks for super-resolution.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Deep backprojection networks for super-resolution

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.715900Z

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Observation ef0ecec8-b34c-4082-9078-923eab682c7f · outbound

This paper cites Modulating image restoration with continual levels via adaptive feature modification layers.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Modulating image restoration with continual levels via adaptive feature modification layers

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.708120Z

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Observation 543957b7-ba2a-4f4b-923d-494f3547dfa8 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T12:51:03.274563Z

Source-reported events for the cited work

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Observation c802cdac-8350-4c54-b973-45d4df6210af · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Perceptual losses for real-time style transfer and super-resolution

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.696386Z

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Observation a623131b-7c4d-4154-8ede-5634e85f847f · outbound

This paper cites Convolutional neural networks for no-reference image quality assessment.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Convolutional neural networks for no-reference image quality assessment

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.688680Z

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Observation 055b0bcb-bf4c-456b-916c-665619288196 · outbound

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

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Accurate image super-resolution using very deep convolutional networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.680689Z

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Observation ae1f7ece-5d0b-4641-b7b2-5904950a8126 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Adam: A Method for Stochastic Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T12:51:03.285770Z

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Observation 9defb464-ea74-4625-a36f-f925d04d5e36 · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Photo-realistic single image super-resolution using a generative adversarial network

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.672303Z

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Observation f1808959-f6da-4135-afd7-0bbfd5c44a18 · outbound

This paper cites Blind image quality assessment using a general regression neural network.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Blind image quality assessment using a general regression neural network

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.664678Z

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Observation 4b5a1bfc-bed0-443a-b3fd-8dfb66e9812c · outbound

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

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Enhanced deep residual networks for single image super-resolution

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.656838Z

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Observation a281ff9b-09ed-46ab-9385-b541afee4fbf · outbound

This paper cites RankIQA: Learning from Rankings for No-reference Image Quality Assessment.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution RankIQA: Learning from Rankings for No-reference Image Quality Assessment

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:51:03.503854Z

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.

Observation f02cff74-dfbd-4fa5-b658-24e690349e87 · outbound

This paper cites Learning a no-reference quality metric for single-image super-resolution.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Learning a no-reference quality metric for single-image super-resolution

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.649024Z

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Observation 60356e95-3fa1-4d95-b8b1-004820fbbbac · outbound

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

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.640438Z

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Observation 8202f1d1-82e7-43df-9259-53592d6a77c6 · outbound

This paper cites Conditional Generative Adversarial Nets.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Conditional Generative Adversarial Nets

Reference 28

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Observation f7eb8ccb-4442-4a20-9d0a-c3aa35186aff · outbound

This paper cites completely blind.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution completely blind

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.633553Z

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Observation 4efe0e1c-0b2d-46af-9c71-e873543059d2 · outbound

This paper cites Relative attributes.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Relative attributes

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.626846Z

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Observation cf390818-5260-4333-a7cd-b7b40e9129d5 · outbound

This paper cites Enhancenet: Single image super-resolution through automated texture synthesis.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Enhancenet: Single image super-resolution through automated texture synthesis

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.619219Z

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Observation 87251259-cddf-49f4-9b47-76e3b2495295 · outbound

This paper cites Ranking cgans: Subjective control over semantic image attributes.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Ranking cgans: Subjective control over semantic image attributes

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.611284Z

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Observation 44767337-0a16-4ae1-a4ae-c00245c197ab · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 33

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Observation 5fd96940-9ff0-4a19-84cd-26e493a803f6 · outbound

This paper cites Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:51:03.479477Z

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Observation d9d3c305-845a-4dac-af1a-822737224486 · outbound

This paper cites Esrgan: Enhanced super-resolution generative adversarial networks.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Esrgan: Enhanced super-resolution generative adversarial networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.603278Z

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Observation dfa22370-4cb0-40e3-a8f6-99f7240156c6 · outbound

This paper cites Deep relative attributes.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Deep relative attributes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.595060Z

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.

Observation 694b9f6b-512d-49b1-9e2d-f737b6da523c · outbound

This paper cites No-reference image quality assessment based on visual codebook.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution No-reference image quality assessment based on visual codebook

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.586342Z

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Observation ec02a61f-507e-4fe9-a893-4e32f4b87ebb · outbound

This paper cites Learning to compare image patches via convolutional neural networks.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Learning to compare image patches via convolutional neural networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.578204Z

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Observation 6c64696f-0088-4d12-ba29-28df3f0f0825 · outbound

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

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution On single image scale-up using sparse-representations

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.570545Z

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

Observation db199ba3-0686-41c5-8d4a-4847c8a110c0 · outbound

This paper cites Single image super-resolution with non-local means and steering kernel regression.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Single image super-resolution with non-local means and steering kernel regression

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.561676Z

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Observation b804b174-94f6-4078-8e63-c71105f2cb19 · outbound

This paper cites An edge-guided image interpolation algorithm via directional filtering and data fusion.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution An edge-guided image interpolation algorithm via directional filtering and data fusion

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.554170Z

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

Observation f08c85ad-d99c-4538-8bd4-f8336e90e7a9 · outbound

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

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Residual dense network for image super-resolution

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:51:03.546851Z

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

Observation cffc2014-f611-4193-8efe-8ce7b861e186 · outbound

This paper cites write newline.

RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution write newline

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-14T12:51:03.350275Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.