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Paper Citation Record · LEDGER

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations

As of 10 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2506.07705.

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

pith.paper-citation-record.v1
2506.07705 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

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measured 79 of 79 standing notices

One-hop event checks from named stored sources.

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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

79 of 79 outbound references displayed

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External citation measurements

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Outbound references

Observation 31f0eed0-3aec-4372-a591-ddced6959d65 · outbound

This paper cites Learning a deep convolu- tional network for image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Learning a deep convolu- tional network for image super-resolution,

Reference 1

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Observation 2c2e7054-7280-434f-a24c-61349f411254 · outbound

This paper cites Deeply-recursive convolutional network for image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Deeply-recursive convolutional network for image super-resolution,

Reference 2

Resolution
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Observation 5025083d-41cf-45e1-89bb-eaec5fda81a8 · outbound

This paper cites Enhanced deep resid- ual networks for single image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Enhanced deep resid- ual networks for single image super-resolution,

Reference 3

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Observation 2ba3a536-43c7-4c6d-b5a5-733d75fa33eb · outbound

This paper cites Learning a single convolutional super- resolution network for multiple degradations,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Learning a single convolutional super- resolution network for multiple degradations,

Reference 4

Resolution
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Observation 5be6043d-bf91-4396-bd5e-ee505a07a32d · outbound

This paper cites Single image super-resolution via a holistic attention network,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Single image super-resolution via a holistic attention network,

Reference 5

Resolution
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Observation f88dda10-88ae-4613-b6fd-fb0967ce7e7c · outbound

This paper cites Second-order atten- tion network for single image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Second-order atten- tion network for single image super-resolution,

Reference 6

Resolution
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Observation 3e5df1df-fb42-4cd7-a843-d3cc503dcd86 · outbound

This paper cites Deep residual learning for image recognition,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Deep residual learning for image recognition,

Reference 7

Resolution
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Observation 58c9515e-0b43-413c-93c9-6eb38cd344bc · outbound

This paper cites Blind super-resolution kernel estimation using an internal-gan,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Blind super-resolution kernel estimation using an internal-gan,

Reference 8

Resolution
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Observation 13b4d00f-c2bd-4583-8f36-8b83c4d532b1 · outbound

This paper cites Deep constrained least squares for blind image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Deep constrained least squares for blind image super-resolution,

Reference 9

Resolution
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Observation dfe07999-4e7f-4c84-9d7f-a92b545f5d85 · outbound

This paper cites End-to-end alternating optimization for blind super resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations End-to-end alternating optimization for blind super resolution,

Reference 10

Resolution
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Observation b0445040-7b34-46ad-a577-d2c99e805334 · outbound

This paper cites Unfolding the alter- nating optimization for blind super resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Unfolding the alter- nating optimization for blind super resolution,

Reference 11

Resolution
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Observation c2fdd599-e519-4f3d-814b-cdf3a13a9f34 · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Blind super-resolution with iterative kernel correction,

Reference 12

Resolution
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Observation 447d6993-1f58-408f-a42d-fab471cda99a · outbound

This paper cites Ddet: Dual-path dynamic enhancement network for real-world image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Ddet: Dual-path dynamic enhancement network for real-world image super-resolution,

Reference 13

Resolution
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Observation a5b00a33-d9bf-4057-9499-30136dc77cbe · outbound

This paper cites On Efficient Transformer-Based Image Pre-training for Low-Level Vision.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 14

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Source-reported events for the cited work

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Observation 16567f30-33d3-4268-b6ee-610bc13c45ad · outbound

This paper cites Swinir: Image restoration using swin transformer,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Swinir: Image restoration using swin transformer,

Reference 15

Resolution
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Observation 6095cac2-ffd8-4f04-a7c8-4172935bc455 · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Activating more pixels in image super-resolution transformer,

Reference 16

Resolution
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Observation f62091da-2783-4eb3-99e6-ac48edea6716 · outbound

This paper cites Dynamic convolution: Attention over convolution kernels,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Dynamic convolution: Attention over convolution kernels,

Reference 17

Resolution
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Observation 1a980b83-e7a4-40d4-a508-618dbdefa1bb · outbound

This paper cites Decoupled dynamic filter networks,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Decoupled dynamic filter networks,

Reference 18

Resolution
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Observation b78164b5-f252-4cf8-a301-6c000b0baa06 · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Accurate image super-resolution using very deep convolutional networks,

Reference 19

Resolution
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Observation 01bf2147-a446-413a-9de3-5423d547de51 · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Real-esrgan: Training real- world blind super-resolution with pure synthetic data,

Reference 20

Resolution
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Observation e9d75b14-96c9-4f3a-b36d-b63f89cb674d · outbound

This paper cites Esrgan: Enhanced super-resolution generative adversar- ial networks,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Esrgan: Enhanced super-resolution generative adversar- ial networks,

Reference 21

Resolution
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Observation 753cef62-c4d6-4b40-a900-1e319e61edbb · outbound

This paper cites Ranksrgan: Generative adver- sarial networks with ranker for image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Ranksrgan: Generative adver- sarial networks with ranker for image super-resolution,

Reference 22

Resolution
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Observation 10c6497c-f087-460e-adcc-1f2b89c696fe · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Image super- resolution using very deep residual channel attention networks,

Reference 23

Resolution
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Observation 889b69a6-0ff3-475a-b71a-6e324a6b0d09 · outbound

This paper cites Advanced binary neural network for single image super resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Advanced binary neural network for single image super resolution,

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 8e5d82e7-ef82-42d0-8acd-46c128696549 · outbound

This paper cites Binarized neural network for single image super resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Binarized neural network for single image super resolution,

Reference 25

Resolution
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Observation 99b3eaaf-beb8-4c4f-a8e0-93c936c2baa7 · outbound

This paper cites Wavelet-based dual recursive network for image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Wavelet-based dual recursive network for image super-resolution,

Reference 26

Resolution
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Source-reported events for the cited work

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Observation 4a64c39c-4857-4689-af2d-ed1ee4cfd17d · outbound

This paper cites Pre-trained image processing transformer,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Pre-trained image processing transformer,

Reference 27

Resolution
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Source-reported events for the cited work

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Observation 66cfc15b-959b-440a-be81-33d7ba41a741 · outbound

This paper cites Eatformer: Improving vision transformer inspired by evolutionary al- gorithm,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Eatformer: Improving vision transformer inspired by evolutionary al- gorithm,

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f4a88a9b-bfd1-4a41-a073-2fd937d12007 · outbound

This paper cites Unified dynamic convolutional network for super-resolution with variational degradations,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Unified dynamic convolutional network for super-resolution with variational degradations,

Reference 29

Resolution
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Source-reported events for the cited work

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Observation 9baea01a-b17b-4510-89f1-1a496831b6df · outbound

This paper cites Deep unfolding network for image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Deep unfolding network for image super-resolution,

Reference 30

Resolution
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Source-reported events for the cited work

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Observation 132940d7-634e-4d1a-8011-7e0d2d9b58ec · outbound

This paper cites Correction filter for single image super-resolution: Robustifying off-the-shelf deep super-resolvers,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Correction filter for single image super-resolution: Robustifying off-the-shelf deep super-resolvers,

Reference 31

Resolution
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Source-reported events for the cited work

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Observation a170861d-bf64-4d8f-98d6-23f63709049c · outbound

This paper cites Knowledge distillation based degradation estimation for blind super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Knowledge distillation based degradation estimation for blind super-resolution,

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cf0bead9-6d71-4590-ad32-6c5d8803572a · outbound

This paper cites Meta- learning based degradation representation for blind super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Meta- learning based degradation representation for blind super-resolution,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.405163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 65191f6c-1e3e-473c-a149-9c7f01d42521 · outbound

This paper cites “zero-shot.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations “zero-shot

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.393261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation edf54e66-36c7-45f2-bab3-6bb15dd59582 · outbound

This paper cites Meta-transfer learning for zero-shot super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Meta-transfer learning for zero-shot super-resolution,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.381958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.649814Z digest=sha256:f666ced02d9de9139e2dac702748588c6655abfd69e291b1a3ce9d1cb9a38774

Observation 7474274e-128f-419a-9b28-f9c799187fb2 · outbound

This paper cites Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.370049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.653328Z digest=sha256:0a3e384d7d49143673c1f2296e646325f7632e5bba277f3911d1849c540ac275

Observation d56ad5c2-76e3-4504-acce-c7821f7b1dd9 · outbound

This paper cites End-to-end alternating optimization for real-world blind super resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations End-to-end alternating optimization for real-world blind super resolution,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.358905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.656921Z digest=sha256:784f030d401c41379ed7a2806c206b712c797e0640f193b024bfb9719e29b414

Observation e2d13123-bc4d-49e6-8721-a80380551b9f · outbound

This paper cites Unsu- pervised degradation representation learning for blind super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Unsu- pervised degradation representation learning for blind super-resolution,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.347791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.660463Z digest=sha256:1e48c2be99180e77d26699ca06d261c121e82072675ed0e778b459d9c8a06892

Observation c43d1be0-9b02-4531-a7c9-7146c381ade6 · outbound

This paper cites Degradation-aware self-attention based transformer for blind image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Degradation-aware self-attention based transformer for blind image super-resolution,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.336728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.664131Z digest=sha256:86158394df8612c3826b3b8cfed75ec9942852ab467edb19385ad5d27af0bacf

Observation 2dfcb256-4bb9-42fe-9cd6-0e2607355e63 · outbound

This paper cites Efficient and degradation-adaptive network for real-world image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Efficient and degradation-adaptive network for real-world image super-resolution,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.324913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.667970Z digest=sha256:e86e22d2f28d2a84d78523be8ecbd14c82f9fd7f306e153c3ff121718cb2c0fe

Observation 68cd09d6-642a-493c-b6fa-8a27bae433b9 · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations A dynamic kernel prior model for unsupervised blind image super- resolution,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.313885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.671895Z digest=sha256:4ca61a9bab9735a9c4fce12264070d1d25c61578696ce7f381f98d0d32376ae6

Observation 92e89c71-00e1-42b4-ba38-5dd5a93e33d4 · outbound

This paper cites Uncertainty learning in kernel estimation for multi-stage blind image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Uncertainty learning in kernel estimation for multi-stage blind image super-resolution,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.302402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.675154Z digest=sha256:9d9a3c0df5462ee165c47900b391614ae0fd6d4dd55f47cc80f16b4417bf94fb

Observation 83f87fee-f80b-42ce-8405-1bbad0f147d5 · outbound

This paper cites Deep model-based super- resolution with non-uniform blur,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Deep model-based super- resolution with non-uniform blur,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.291227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.678794Z digest=sha256:f5613144e982c716972d8ee44ee8f31d1ad4176a1d0af0b8ec8058fb56489201

Observation 62ad8df7-87f1-4245-9a3a-ffd54c67625f · outbound

This paper cites Koalanet: Blind super-resolution using kernel-oriented adaptive local adjustment,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Koalanet: Blind super-resolution using kernel-oriented adaptive local adjustment,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.280318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.682622Z digest=sha256:d31c6a8b916c874955974755d95ab7d9766e5e44027926617a69e4237b8f486c

Observation 8e45fcc8-1d02-48e2-b508-73e13fe768f7 · outbound

This paper cites Mutual affine network for spatially variant kernel estimation in blind image super- resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Mutual affine network for spatially variant kernel estimation in blind image super- resolution,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.267983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.686161Z digest=sha256:a1caf0d48bd6b2b53b65516c3d163087feb3e3bb3ebdcd1e35c625cf94293a43

Observation 98f5005d-d024-49c8-bd50-0921c1ed9a56 · outbound

This paper cites Blind image super-resolution with spatially variant degra- dations,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Blind image super-resolution with spatially variant degra- dations,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.257349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.689586Z digest=sha256:ca750521d0e19323cd306384ee5f5f0ba9b8bfef775aefbde095b82049c459b3

Observation 4175ef01-693a-489f-b26c-3ee27de53cff · outbound

This paper cites Edpn: Enhanced deep pyramid network for blurry image restoration,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Edpn: Enhanced deep pyramid network for blurry image restoration,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.244717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.693244Z digest=sha256:ec6275a06a531758d9fdd9e9e31ba7411eca4f5f7851c7efb6a0403363c7b1c2

Observation cf8383b8-602b-4423-bdcf-f7804232ca6b · outbound

This paper cites Joint learning content and degradation aware feature for blind super- resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Joint learning content and degradation aware feature for blind super- resolution,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.233503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.697469Z digest=sha256:a2d0b9377517cf4c91c46e20bc67ce71695769b162d7c43dce3f67f8d33e1a8c

Observation 874c14b7-279e-47d7-8970-9b7fa199be9e · outbound

This paper cites Dynamic filter networks,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Dynamic filter networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.222146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.700934Z digest=sha256:83f564778253a7b90eae237bb61e45e32f665ef5583df7f263b67a38440d27ef

Observation 76e2312c-a110-4179-9a90-221238f6d121 · outbound

This paper cites Adaptive convolutional kernels,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Adaptive convolutional kernels,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.211331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.704590Z digest=sha256:1383fac58972b05a402e311ae22b688032120f39eee641dfe4ad60f00050fff7

Observation fdddc75c-5096-4b19-b3de-7545a296f88a · outbound

This paper cites SOLOv2: Dynamic and Fast Instance Segmentation.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations SOLOv2: Dynamic and Fast Instance Segmentation

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:32:23.887545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.708477Z digest=sha256:97283dd7562e8d685a29c06409cb8ffb590ad59859e8fef7f7cb5b2c461c9eaa

Observation 7cab77e8-a908-49ff-859c-ce990c811aa5 · outbound

This paper cites Conditional convolutions for instance segmentation,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Conditional convolutions for instance segmentation,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.200403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.713271Z digest=sha256:c9dd2c1f53e63c626a1a67a34954feb15ff288248497e1c1cb981d81e71a6987

Observation 83c46759-3b95-4649-85f1-75917a1488c7 · outbound

This paper cites Dynamic high-pass filtering and multi-spectral attention for 15 image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Dynamic high-pass filtering and multi-spectral attention for 15 image super-resolution,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.188319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.716883Z digest=sha256:28f3d556c78489f761b7b55ad2256c5c96108ddf807864cd628bf1ab505c6f5b

Observation c0dab0e0-9723-46aa-afec-599129d64a1a · outbound

This paper cites Condconv: Conditionally parameterized convolutions for efficient inference,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Condconv: Conditionally parameterized convolutions for efficient inference,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.175669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.721066Z digest=sha256:035a167213016f302cb74f20a69bb9bb0feeb5f8f4b3b554d410761bada60e1e

Observation 5c18a545-44ba-4dd7-ac55-e399982f2e9e · outbound

This paper cites Weightnet: Revisiting the design space of weight networks,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Weightnet: Revisiting the design space of weight networks,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.165197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.724673Z digest=sha256:b5cb0fd458c0ceee4241f6f3fe7274a4f96af50b1760e094e91bca6e9cdf4410

Observation ebbf5a88-999f-466c-9327-c72d24567995 · outbound

This paper cites DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:32:23.869720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.728523Z digest=sha256:536655817a5e6786034a9338367090d015cc6284c990cda56172e43d975276a7

Observation bc9a2650-744b-4e47-aa4c-4267442a9eab · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Single image super-resolution from transformed self-exemplars,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.155232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.732423Z digest=sha256:2cca8e14d479e28713a825f9c4888ff2a5453cb1f32c8cfef767b9d5d86d4538

Observation 061f5003-d5a3-4302-b334-1ce6ed26cc34 · outbound

This paper cites Microsoft coco: Common objects in context,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Microsoft coco: Common objects in context,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.144248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.736341Z digest=sha256:db78e823630bf9aac424366ca32d629b5db58ccb580ef0ef131d5b6168a31fb7

Observation 6da24d63-1b68-433a-8f3a-e2b77f505c0f · outbound

This paper cites Rectified linear units improve restricted boltzmann machines.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Rectified linear units improve restricted boltzmann machines

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.133139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.740328Z digest=sha256:87ef20831257d6dd2b3ede5bbcd93af559c38520119358f701808c0e9547a0a3

Observation 9404e0de-c881-4c11-9114-57c2653f432a · outbound

This paper cites What is the best multi-stage architecture for object recognition?.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations What is the best multi-stage architecture for object recognition?

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.121658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.744166Z digest=sha256:751d78d7a34935184c7817ab70539c30c9153afd34d0d9de549dae41df983c31

Observation bc1263c2-d82c-4d85-8012-81c1dd120d18 · outbound

This paper cites Squeeze-and-excitation networks,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Squeeze-and-excitation networks,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.108995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.748273Z digest=sha256:45cd35a4f6ca01c90bf67f48461b06663d8ab009c734a63488d4a5aa8c6b2fdb

Observation 8fdd4c9d-1eeb-4dc2-87dd-8e1e3e19bdf8 · outbound

This paper cites Fast, accurate, and lightweight super-resolution with cascading residual network,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Fast, accurate, and lightweight super-resolution with cascading residual network,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.097056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.752588Z digest=sha256:ec1b9cfdc834e07f6fed4ff1fc776f768d1eb26caf3a8897db337edbcec75bbf

Observation b3303d3c-4360-4af6-8068-2b4a3589944f · outbound

This paper cites Deblurring images via dark channel prior,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Deblurring images via dark channel prior,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.083368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.756221Z digest=sha256:031fa1450c0b9309849337d8f5a8dc70bce693404fb32fdb0184422bc30396a9

Observation dfa2012a-7aa0-48d8-bd94-8fc169a913eb · outbound

This paper cites Tackling the ill-posedness of super-resolution through adaptive target generation,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Tackling the ill-posedness of super-resolution through adaptive target generation,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.072152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.759612Z digest=sha256:25d427a78aad7f73e57dbc4291a744fa17219724ab2f07e95f413a1bee69a1fb

Observation ffa853eb-6c96-4467-85aa-802ecd976dbe · outbound

This paper cites Low- complexity single-image super-resolution based on nonnegative neighbor embedding,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Low- complexity single-image super-resolution based on nonnegative neighbor embedding,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.060068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.763201Z digest=sha256:30e7840cb2b6e7300f96025733cb2e5c3f581410e1bddd126bda87b0397def0d

Observation ade5d5f2-50d1-4520-9efc-5ab90fbd6a8d · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations On single image scale-up using sparse-representations,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.048367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:32:23.766931Z digest=sha256:3a5f32d9600e2ff916bad725d7b40ad2d986064c1ef3a71b4f5643f5b36adca7

Observation 85afef75-a4f8-44d2-b063-86564e69df12 · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.034790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ad7312ab-e1b9-4c52-9732-9d6c5b51d296 · outbound

This paper cites Sketch-based manga retrieval using manga109 dataset,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Sketch-based manga retrieval using manga109 dataset,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:23.774965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eb790b8c-f775-4efd-9e7d-23cf91644341 · outbound

This paper cites Deep laplacian pyramid networks for fast and accurate super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Deep laplacian pyramid networks for fast and accurate super-resolution,

Reference 69

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation eb1f9328-7f69-4f5f-b471-bd5e44ed479e · outbound

This paper cites Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:24.005009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7cfa0682-dfe6-40ae-ab97-69f4ac8ca465 · outbound

This paper cites Image super-resolution by neural texture transfer,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Image super-resolution by neural texture transfer,

Reference 71

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c5ed3dcb-3b94-4ca0-8773-8ddc857f27bf · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Perceptual losses for real- time style transfer and super-resolution,

Reference 72

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7f00b790-5d84-47e5-8898-eaccba9cc535 · outbound

This paper cites Learning parallax attention for stereo image super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Learning parallax attention for stereo image super-resolution,

Reference 73

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 595041e0-2901-4e39-b1b0-5ab9ecf6aa8a · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 74

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8ef98f2b-cfdc-42df-95b1-37b0db006a5d · outbound

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

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Ntire 2017 challenge on single image super-resolution: Methods and results,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:23.946157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1423302c-b4d9-44c6-872f-f5fcf051875a · outbound

This paper cites Making a “completely blind.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Making a “completely blind

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:23.934572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 493015a8-77f4-41e0-9f80-a2bd09e4edb2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Adam: A Method for Stochastic Optimization

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:23.807408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:23.807408Z digest=sha256:0c9b53b32b7f2a7f431d474fb4edc2926c3ad45d80b45a8795812bd13c26f3bf

Observation 55a7acc0-187a-4f77-9838-07b580e8e1a8 · outbound

This paper cites Deep back-projection networks for super-resolution,.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Deep back-projection networks for super-resolution,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:23.923469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8d4968fa-9245-402a-a677-8d8548d25941 · outbound

This paper cites Ming-Husan Yang as a joint-training Ph.D.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations Ming-Husan Yang as a joint-training Ph.D

Reference 2017

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

No inbound Pith citation observations are available.