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Paper Citation Record · LEDGER

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration

As of 7 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 1 inbound Pith citation observation for arXiv:2605.00310.

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

pith.paper-citation-record.v1
2605.00310 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T08:23:54.413015Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:09:03.641830Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

85 of 85 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4d87e0f-7f3e-48f3-8e0a-e94eedadc6c0 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation 09e51851-e01a-46e2-9110-8cd7832c5427 · outbound

This paper cites Improving component substitution pansharpening through multivariate regression of ms + pan data.IEEE Transactions on Geoscience and Remote Sensing, 45(10):3230– 3239.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Improving component substitution pansharpening through multivariate regression of ms + pan data.IEEE Transactions on Geoscience and Remote Sensing, 45(10):3230– 3239

Reference 2

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Observation fb2dcb65-a914-46a6-ab82-86201e9fae3c · outbound

This paper cites Canopy height model and naip imagery pairs across conus.Scientific Data, 12(1):322.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Canopy height model and naip imagery pairs across conus.Scientific Data, 12(1):322

Reference 3

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Observation 37fbe742-969f-4053-9d1d-bfca017b9168 · outbound

This paper cites Apache Sedona.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Apache Sedona

Reference 4

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Observation a6acaff9-fcc1-4aea-8b97-6b391a01327c · outbound

This paper cites Cnn-based super-resolution of hyperspectral images.IEEE Transactions on Geoscience and Remote Sensing, 58(9):6106–6121.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Cnn-based super-resolution of hyperspectral images.IEEE Transactions on Geoscience and Remote Sensing, 58(9):6106–6121

Reference 5

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Observation 44d73b53-342a-4a22-a6fd-079d9370aa44 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Toward real-world single image super-resolution: A new benchmark and a new model

Reference 6

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Observation 464fbc25-66ca-4628-ada2-b1351f1ebd3b · outbound

This paper cites Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach

Reference 7

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Observation fecaa78b-ca3b-46cf-b788-fa0b42a82dfc · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Activating more pixels in image super-resolution transformer

Reference 8

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Observation 02ad7945-e720-418d-b7a7-750bb8ae314b · outbound

This paper cites Binarized diffusion model for image super- resolution.Advances in Neural Information Processing Systems, 37:30651–30669.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Binarized diffusion model for image super- resolution.Advances in Neural Information Processing Systems, 37:30651–30669

Reference 9

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Observation 3cbafc29-99cd-48ce-937e-17c44a0f9360 · outbound

This paper cites Recursive Generalization Transformer for Image Super-Resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Recursive Generalization Transformer for Image Super-Resolution

Reference 10

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Observation 69546fe8-3b3a-4597-99c7-c58cf67b4bd9 · outbound

This paper cites A solar panel dataset of very high resolution satellite imagery to support the sustainable development goals.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A solar panel dataset of very high resolution satellite imagery to support the sustainable development goals

Reference 11

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Observation df47b9ea-69c4-4ca0-b11f-87fdd319ac81 · outbound

This paper cites Open high- resolution satellite imagery: The worldstrat dataset–with application to super-resolution.Advances in Neural Information Processing Systems, 35:25979–25991.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Open high- resolution satellite imagery: The worldstrat dataset–with application to super-resolution.Advances in Neural Information Processing Systems, 35:25979–25991

Reference 12

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Observation 2ccb4467-51e8-4304-98ab-11004da806aa · outbound

This paper cites National land cover database (nlcd) 2021 products.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration National land cover database (nlcd) 2021 products

Reference 13

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Observation 4597bd1b-5f94-4826-9be2-616f1aa80c32 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Learning a deep convolutional network for image super-resolution

Reference 14

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Observation 21d7ee2c-0d85-40ad-91c7-c4d00a8c6a66 · outbound

This paper cites Esa worldcover global land cover service.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Esa worldcover global land cover service

Reference 15

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Observation 52f2922a-ac1e-42ea-9cce-7a6e0e400b37 · outbound

This paper cites Remote sensing time series analysis: A review of data and applications.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Remote sensing time series analysis: A review of data and applications

Reference 16

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Observation 11dd4654-392f-4e24-947d-6d74dbc55ef9 · outbound

This paper cites Copernicus_s2_cloud_probability: Sentinel -2 cloud probability.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Copernicus_s2_cloud_probability: Sentinel -2 cloud probability

Reference 17

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Observation 55a1b5a5-0f16-4193-94c9-c71fe71834d8 · outbound

This paper cites Spatial-temporal super-resolution of satellite imagery via conditional pixel synthesis.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Spatial-temporal super-resolution of satellite imagery via conditional pixel synthesis

Reference 18

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Observation 8b92f8b7-4a1e-4a25-a479-eb7455a787ce · outbound

This paper cites Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution

Reference 19

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Observation d7575cfc-d240-4b07-a9b9-e72ef4db97ea · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Cascaded diffusion models for high fidelity image generation.Journal of Machine Learning Research, 23(47):1–33

Reference 20

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Observation 80a5db01-87e8-4422-8847-129bb0bc7d0f · outbound

This paper cites Efficient swin transformer for remote sensing image super-resolution.IEEE Transactions on Image Processing.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Efficient swin transformer for remote sensing image super-resolution.IEEE Transactions on Image Processing

Reference 21

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Observation 986b5e94-10be-4ea4-a124-a9e7016215d3 · outbound

This paper cites Lobell, and Stefano Ermon.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Lobell, and Stefano Ermon

Reference 22

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Observation b074a783-bb2c-4043-9bed-6d7b8ff6fc82 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Accurate image super-resolution using very deep convolutional networks

Reference 23

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Observation 4cbc106e-e18e-4a33-93d8-13ef889325ea · outbound

This paper cites Single-image super-resolution using sparse regression and natural image prior.IEEE transactions on pattern analysis and machine intelligence, 32(6):1127–1133.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Single-image super-resolution using sparse regression and natural image prior.IEEE transactions on pattern analysis and machine intelligence, 32(6):1127–1133

Reference 24

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Observation 45518e86-517d-4e22-9068-6821fd7c2358 · outbound

This paper cites Toward bridging the simulated-to-real gap: Benchmarking super-resolution on real data.IEEE transactions on pattern analysis and machine intelligence, 42(11):2944–2959.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Toward bridging the simulated-to-real gap: Benchmarking super-resolution on real data.IEEE transactions on pattern analysis and machine intelligence, 42(11):2944–2959

Reference 25

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Observation 5e30e8a8-ac76-43d5-b333-5d5889886222 · outbound

This paper cites A real-world benchmark for sentinel-2 multi-image super-resolution.Scientific Data, 10(1):644.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A real-world benchmark for sentinel-2 multi-image super-resolution.Scientific Data, 10(1):644

Reference 26

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Observation 1d9ac585-ded4-4652-abda-b892449201ef · outbound

This paper cites A high-resolution canopy height model of the earth.Nature Ecology & Evolution, 7(11):1778–1789.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A high-resolution canopy height model of the earth.Nature Ecology & Evolution, 7(11):1778–1789

Reference 27

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Observation ad4e488f-44de-4c61-9534-a331b6cf0e0c · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Photo-realistic single image super- resolution using a generative adversarial network

Reference 28

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Observation 28c7dd0f-1ab6-40f9-81bb-45ff696809a8 · outbound

This paper cites Transformer-based multistage enhancement for remote sensing image super-resolution.IEEE Transac- tions on Geoscience and Remote Sensing, 60:1–11.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Transformer-based multistage enhancement for remote sensing image super-resolution.IEEE Transac- tions on Geoscience and Remote Sensing, 60:1–11

Reference 29

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Observation 48be5784-903d-4faf-adf4-6b5436aa2b83 · outbound

This paper cites Sed: Semantic-aware discriminator for image super-resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Sed: Semantic-aware discriminator for image super-resolution

Reference 30

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Observation 9dca5b88-7e21-4aa4-a40a-79a382fe6db4 · outbound

This paper cites A global analysis of sentinel-2a, sentinel-2b and landsat-8 data revisit intervals and implications for terrestrial monitoring.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A global analysis of sentinel-2a, sentinel-2b and landsat-8 data revisit intervals and implications for terrestrial monitoring

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.645053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:96108f18039614e0065aff1994cbe7ef5115521d8882d0d2131306ac7494b64d

Observation cbae18f4-6539-40a4-99fa-8363ab68ad6a · outbound

This paper cites Lsdir: A large scale dataset for image restoration.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Lsdir: A large scale dataset for image restoration

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.646726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:6e3a432a5e984d1282e400bec047c551577e42f7f47da1e32967bb3a6dd7bd85

Observation d2c9e688-2acc-4083-a53e-a75a735c8991 · outbound

This paper cites A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks.Science China Information Sciences, 63:1–16.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks.Science China Information Sciences, 63:1–16

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.638591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:a9d38343b364655455374747023acca964c8502f03ba21d1a1cbc3bcbac156b7

Observation ff7e697e-8e23-47e5-846a-a876c6c7269a · outbound

This paper cites Swinir: Image restoration using swin transformer.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Swinir: Image restoration using swin transformer

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.651007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:7e0261a2bbd8b86f259ee44b43cbffde4ed106b19c4b6be617a26a01dabd777b

Observation 93596ce2-06d5-4dc4-ba70-974e5ea43c9b · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Enhanced deep residual networks for single image super- resolution

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.652689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:03eca899cf0afc8cd8f263285cf4b2185c69061970e4c1fe913d36b83cf1ee83

Observation 1f7169ae-5b78-4a4d-9436-20ac37740f97 · outbound

This paper cites Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:33.083393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:883d9b4192ee8202d1a4c02b77b01594c75be54e47fd4cbcb6e9cd069fb5869b

Observation be316faa-8527-47f2-907d-8aa943e7709c · outbound

This paper cites an unresolved cited work.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-07-06T13:12:31.656812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:e4081babb92f21d44b6a272a61b52a3568072b8011a32bf27c5883b2a17039c2

Observation 918d1276-0bfe-4ba0-a872-29b175454795 · outbound

This paper cites Difffno: Diffusion fourier neural operator.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Difffno: Diffusion fourier neural operator

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.634792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:e0189851bfb8a78abc1052f0a49ab068838c8e885e5166db901d594fa8725650

Observation 00bba730-1136-40b2-87f0-bb3bac9cf67f · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Swin transformer: Hierarchical vision transformer using shifted windows

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.652867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:d5d979b0ff773c45157f9da0ef48823cd3dd3c97b707107d211ff4b3a03205a4

Observation c964a87c-0f18-44e2-9109-f1556d4ae3eb · outbound

This paper cites China building rooftop area: the first multi-annual (2016–2021) and high-resolution (2.5 JOURNAL OF LATEX CLASS FILES, VOL.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration China building rooftop area: the first multi-annual (2016–2021) and high-resolution (2.5 JOURNAL OF LATEX CLASS FILES, VOL

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.650804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:a0d00b0b22fb9c65c20924c499990e01649bc01130d740546466b16038c6a331

Observation a98c489e-3cda-4e77-aa88-d36b764aeda9 · outbound

This paper cites Transformer for single image super-resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Transformer for single image super-resolution

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.616274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:8c88e5df5a3a7f2c2c2bd185e71bc070b4b6fe50d31625b3eaa2ea62b1977da0

Observation fe6edaf7-3577-4328-b39e-b64c88c63994 · outbound

This paper cites Super- resolution of proba-v images using convolutional neural networks.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Super- resolution of proba-v images using convolutional neural networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.557192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:6728d52204440f2d2007ff2e1ef5e4a77f894f33d753394070408392dc3289a4

Observation 1914d835-bb00-430b-a221-739a7b050d7d · outbound

This paper cites A conditional diffusion model with fast sampling strategy for remote sensing image super-resolution.IEEE Transactions on Geoscience and Remote Sensing.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A conditional diffusion model with fast sampling strategy for remote sensing image super-resolution.IEEE Transactions on Geoscience and Remote Sensing

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.561468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:826352913fc89a0eeef13da3d758d5c30d5b088046443ce429886f3466b9ac4d

Observation 41eaf38d-72a1-45c2-9c9c-fa102f998754 · outbound

This paper cites Global urban areas: High-resolution population density and settlement data.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Global urban areas: High-resolution population density and settlement data

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.551534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:69216a541721dfbcdc8e06f5306f25efdf8e2289d1fc969c9dd1280d607596ac

Observation 9845b05c-4979-4c48-8245-0f8c61efe85a · outbound

This paper cites Sen2venµs, a dataset for the training of sentinel-2 super-resolution algorithms.Data, 7(7):96.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Sen2venµs, a dataset for the training of sentinel-2 super-resolution algorithms.Data, 7(7):96

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.553322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:6bc1e1c858f7d5df629e0d9c85b08f817fdff9cca2c0ae650072bb6f43f42808

Observation 5ef9d680-6949-4c28-966a-58de421a1c93 · outbound

This paper cites USRoadDetections: U.S.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration USRoadDetections: U.S

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.563141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:e5a5a5bdb36454313d755aaa2b58db2ae3b59be6ada24446aff7543fb6c7ba6e

Observation 165eea03-4ac9-4561-96c7-48ff11c941cc · outbound

This paper cites Ntsg landsat gross primary production (gpp) v2.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Ntsg landsat gross primary production (gpp) v2

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.547362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:c8308af59a43f8a2a55aeb2ecfac94c8846b62d45c4aa06b36a4cdc7ec09a8b7

Observation 616eb492-d036-4b40-a89a-890a64d88575 · outbound

This paper cites Landland- cov_baselc2022.tif.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Landland- cov_baselc2022.tif

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.533527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:ac19349e7eda77f9798244d1ba96036ed1a4880696259370a16037306d687e2b

Observation 0a9e931e-1a80-4b1b-8cc4-b63e3469a7ea · outbound

This paper cites Advancing image super-resolution techniques in remote sensing: A comprehensive survey.ISPRS Journal of Photogrammetry and Remote Sensing, 231:68–100.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Advancing image super-resolution techniques in remote sensing: A comprehensive survey.ISPRS Journal of Photogrammetry and Remote Sensing, 231:68–100

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.527505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:d8d3d01b18b5bc8bf4f4d606aedc281b1667c49917ab2db62d59cc9339a7efbd

Observation 68b832c3-b1a5-4741-a237-2462fb90fad4 · outbound

This paper cites Cfat: Un- leashing triangular windows for image super-resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Cfat: Un- leashing triangular windows for image super-resolution

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.543649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:7d2c9b63375d34f2b5fa153a7106daac7a9af9d4a4e1e73b81a63a0fbdc3fde3

Observation 9ea1ffea-6e26-4068-9588-76054c5589d8 · outbound

This paper cites Lavista Ferres, and Peyman Najafirad.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Lavista Ferres, and Peyman Najafirad

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.520837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:9a2655ccd1219d0bbc5e43a783f37c6b9ee79fd63094d470c4dbbe5aaa8d48dd

Observation 03d6825c-d1ea-47f8-9421-1c6c1da990ff · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Image super-resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.509425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:912fcb9bc7649b359be576a73b3bdc91187c6b95b2ce9b76ac37fe50823c413c

Observation 6d4e46bf-a112-4400-8fad-19ee3ce212cd · outbound

This paper cites Rethinking image evaluation in super- resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Rethinking image evaluation in super- resolution

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:33.087094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:dcd494295bf3c354862d42be9cd45000c31a2b561e4255350cc8d875017b4d4d

Observation 51875eb8-e199-44cd-8fab-dcb2aad594b3 · outbound

This paper cites Deriving high spatiotemporal remote sensing images using deep convolutional network.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Deriving high spatiotemporal remote sensing images using deep convolutional network

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.543407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:2779fc3e4fcd7ff2fa0ba3d076b0ebc86daa9ecee1f24f7c25e933f8c164b266

Observation 14ec1b65-ca5b-4ea9-8ce6-46d2c4d5467e · outbound

This paper cites Computer generated building footprints for the united states.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Computer generated building footprints for the united states

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.511996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:58e35dadea6dbf0b4178b2e1cc3f8e89460d2c4eec5fde4fafd4ef986361ac41

Observation a94045fe-c3da-4c18-b9a1-b2d888c93235 · outbound

This paper cites Geological Survey.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Geological Survey

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.620607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:811952ceab3a8a50a1c0238d1921016faa3fb6129c5e9c3c396cd3a29a12e3b0

Observation db3c5bd4-f2c1-43b9-b4a3-1d5ba167e864 · outbound

This paper cites Naip seam lines by state.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Naip seam lines by state

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.524785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:377b5e34be9e2be3412617a19cefd0f5479f6f293263fc31ea83fa7734fd61a8

Observation 13c1f919-2c33-49fb-96ec-7da08750af7e · outbound

This paper cites Cropland data layer.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Cropland data layer

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.545344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:5d64da1780aaed907b50df408b1bf53533f5fd8009e5fa43c2957e373529dfce

Observation 75813f09-54c7-4bca-bd21-b58fca9c7ff1 · outbound

This paper cites A cnn-based sentinel- 2 image super-resolution method using multiobjective training.IEEE Transactions on Geoscience and Remote Sensing, 61:1–14.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A cnn-based sentinel- 2 image super-resolution method using multiobjective training.IEEE Transactions on Geoscience and Remote Sensing, 61:1–14

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.581628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:eb37052fd199eaf4847795c2456bb2fac6a715fc7c48929847402e47ae56d65c

Observation 79aea3c5-f232-4f04-abf7-9b6274ff0449 · outbound

This paper cites Towards real-world remote sensing image super- resolution: A new benchmark and an efficient model.IEEE Transactions on Geoscience and Remote Sensing.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Towards real-world remote sensing image super- resolution: A new benchmark and an efficient model.IEEE Transactions on Geoscience and Remote Sensing

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.596324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:3b205bca4c07abfba6bb6de29c64d6ea6e8704944e73ac5a08eae7e3355b0038

Observation 4ad876dc-403e-4b96-a4d6-58cd21248d82 · outbound

This paper cites Virtual image pair-based spatio-temporal fusion.Remote Sensing of Environment, 249:112009.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Virtual image pair-based spatio-temporal fusion.Remote Sensing of Environment, 249:112009

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.594196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:67dc0e8a8f59d471032a7d85c1ede4758c2d009bf82c9cdb4d8badf79d9096c1

Observation 2ac97a7a-e8e3-4772-ba1c-9e7d0d2b52dc · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.588399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:4106ec5c72f6581e79bb4778e3acb88ec1db18ab72bfcc0b40c183bcb8937fc1

Observation 2b29586b-1b12-40cd-945b-855341d4c916 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Esrgan: Enhanced super-resolution generative adversarial networks

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.586039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:361ce17b7b3f212e2d4d25e2b2ec6c5298809045d0807e6e667f8d3f3a0f49b2

Observation a429d7c4-6dfb-433b-97c1-fa8cb2602581 · outbound

This paper cites attention.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration attention

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.590305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:15e24bf88732e306c6e2136d7761c5874c3bb9b59c646e0bb7f6abb01e40c99c

Observation 51b2f311-3b9c-4988-9d08-b9fb6ad83028 · outbound

This paper cites Treefinder: A us-scale benchmark dataset for individual tree mortality monitoring using high- resolution aerial imagery.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Treefinder: A us-scale benchmark dataset for individual tree mortality monitoring using high- resolution aerial imagery

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.592252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:1b5fc3dd105258456fcc84b3fb20b7205653c04edbec9e77d720be687102458c

Observation d2878527-0466-43f6-a2f2-b65d9c86dbf2 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Image quality assessment: from error visibility to structural similarity

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.598609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:1f1af5ea27e5b0adf33b9a1cb0856d181270c0f22cd3ae1e8723b0ec98e22652

Observation 0a1104a8-e239-4e8d-a2b9-1a1a9b4dcc62 · outbound

This paper cites Super-resolution neural operator.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Super-resolution neural operator

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.614309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:9255365c8a659b9f1e04e915496651e90e495ba88a864b906bba6f0ffb0ef9a5

Observation 814be3e2-b42a-4f25-aa0b-408678a35499 · outbound

This paper cites Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensing.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensing

Reference 68

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T08:25:33.071307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:7b20eb9280be7a30bc2af386d0984c32f6c100ec677e5bb9d8fcbae5b5d3ef76

Observation 1c9894d1-4825-4794-93b5-bbcae459eece · outbound

This paper cites Free-flowing rivers - wwf hydrosheds v1.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Free-flowing rivers - wwf hydrosheds v1

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.622476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:aa6897acef48aee0eff4fab4ec00c0bfe5045ed7942c8882a797fdb249a0ec90

Observation 21f729fc-069e-4d4a-a227-0f7cc2467e80 · outbound

This paper cites Ediffsr: An efficient diffusion probabilistic model for remote sensing image super-resolution.IEEE Transactions on Geoscience and Remote Sensing, 62:1–14.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Ediffsr: An efficient diffusion probabilistic model for remote sensing image super-resolution.IEEE Transactions on Geoscience and Remote Sensing, 62:1–14

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.654977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:2a4e45704ff7632738072f7029c9509522f3872211d25dcdb165b123a73a69f4

Observation 962fa46d-9b6c-4459-88e7-b7251b16773f · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers.Advances in neural information processing systems, 34:12077–12090.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Segformer: Simple and efficient design for semantic segmentation with transformers.Advances in neural information processing systems, 34:12077–12090

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.626757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:8a712bd0341ba8d9a6cc61f0be4c9c345e2b2036875bb2bd8db37a5d8183f1b4

Observation 5d31fd80-240e-4095-8f71-367927c56e8e · outbound

This paper cites Neurop-diff: Continuous remote sensing image super-resolution via neural operator diffusion.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Neurop-diff: Continuous remote sensing image super-resolution via neural operator diffusion

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:33.067955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:a41b6c6b5aa903db4809150dec6560c42614c406748c364e57150a1b451dad73

Observation 31ab6b18-89ea-4e39-8852-96bf73a328a4 · outbound

This paper cites Learning texture transformer network for image super-resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Learning texture transformer network for image super-resolution

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.549403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:9fb41ee645983c88459c31aa72ed0b482dd9b2e1de29f9a128972dc2c9796d72

Observation 4008d8b0-809a-49a5-bd41-5866345b7b3e · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration On single image scale- up using sparse-representations

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.560687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:60472b7923423fc6848538c08d6acc14314db5c7ed20c4393eb3fffc9b4b6e32

Observation a3565726-45f4-455f-8a0b-c8d7bda465c4 · outbound

This paper cites Transcending the limit of local window: Advanced super-resolution transformer with adaptive token dictionary.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Transcending the limit of local window: Advanced super-resolution transformer with adaptive token dictionary

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.606413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:f35a4266c29e49e8955239b4b227dd78d0c56f13101b25882f4eeb9a4fa2c3c8

Observation 599021dd-203c-4221-b285-05ee88898bb8 · outbound

This paper cites Uncertainty- guided perturbation for image super-resolution diffusion model.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Uncertainty- guided perturbation for image super-resolution diffusion model

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.628677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:b8d4b4af4d28c7623ee514183d50272b185fcd931407faf5de214e9ec668279e

Observation a5f96561-efba-4354-b526-5180115ace4d · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Adding conditional control to text-to-image diffusion models

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.630663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:f627dc8e436c5d5816bc751a7ebe2fb94d1208106d79a711b0d6a37217017e88

Observation 6b354938-ac22-4b86-b9cf-0efb8d5fcf3b · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration The unreasonable effectiveness of deep features as a perceptual metric

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.632745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:0a66c3b8f90881ceb9fd93f52c780db67e6628a73f49473cdbcf0814b78108ec

Observation d723dc91-90f4-4312-8131-662567296697 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Image super-resolution using very deep residual channel attention networks

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.606648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:1060a0eed4bfe1e805c1586f48dc6cbb57582d06b7885f6d4ac4982738888cc2

Observation 76377d9e-248f-42b7-a01c-d3908b726bdf · outbound

This paper cites Single-image super-resolution based on rational fractal inter- polation.IEEE Transactions on Image Processing, 27(8):3782–3797.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Single-image super-resolution based on rational fractal inter- polation.IEEE Transactions on Image Processing, 27(8):3782–3797

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.609895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:d73adc25e7b64b236a09bb50d324ddf2bcbbfaee43f4ca1bb4819c34e19fa671

Observation 7e7b4885-5203-4e34-91ad-f8338e219e65 · outbound

This paper cites Arbitrary-scale planetary remote sensing super-resolution via adaptive frequency–spatial neural operator.Remote Sensing, 17(22):3718.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Arbitrary-scale planetary remote sensing super-resolution via adaptive frequency–spatial neural operator.Remote Sensing, 17(22):3718

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.600654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:5ed821d158594f06a17afd119b167f76fa00562801b238280af43b117ea1c3b1

Observation ac88a11a-29f2-40bb-9ae8-f4ac2895d327 · outbound

This paper cites Narrow road extraction from high-resolution remote sensing images: Swge-net and msif-net.Geo-spatial Information Science, pages 1–18, 2024.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Narrow road extraction from high-resolution remote sensing images: Swge-net and msif-net.Geo-spatial Information Science, pages 1–18, 2024

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.602769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:a46ba71dda8cd5bc2090889f8ed75e6ec39bf7b49b115c06f096081588ad0d3d

Observation e073735b-9684-4fcc-873f-a7934f826fc7 · outbound

This paper cites Interpolation-based image super-resolution using multisurface fitting.IEEE Transactions on Image Processing, 21(7):3312–3318.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Interpolation-based image super-resolution using multisurface fitting.IEEE Transactions on Image Processing, 21(7):3312–3318

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.612210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:3daf19c7f120d0e2603ef9c4f677c083dce165dc119283af2b3923777b84ecc4

Observation 4de78789-fa02-438e-95e8-a6ca649c85f6 · outbound

This paper cites Panformer: A transformer based model for pan-sharpening.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Panformer: A transformer based model for pan-sharpening

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.618528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:3950902324ff914a65b782517e5d6757d996eede14f4d6f1d354b660fe8f7f55

Observation 5418fdde-2e04-493f-a983-92e406cf217f · outbound

This paper cites Mutual information-driven pan-sharpening.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Mutual information-driven pan-sharpening

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.620388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:56a77b93dacba8fbe7be9687747f2253f110bfaa557554d7ff08d1bbb477cf15

Pith citing papers

Observation 228dd8a6-138e-4e07-bffd-b27a6f3fc86b · inbound

Does Super-Resolution Preserve Defect Evidence? A Low-False-Call Benchmark for Semiconductor Inspection cites this paper.

Does Super-Resolution Preserve Defect Evidence? A Low-False-Call Benchmark for Semiconductor Inspection Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T18:09:03.641830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:09:03.641830Z digest=sha256:cbdbb9d789eb7949231f29f573563983b296c8b4f6459f7a6295637478974019