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Paper Citation Record · LEDGER

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

As of 8 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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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

Resolution
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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 2026-08-08T06:32:00.761636+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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.643028Z digest=sha256:c80ffd2dfd75ef0c7711bc37334fc8bd7be064e718b59ec8ee0f49e1e5144c94

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.646566Z digest=sha256:a3ee006f5df7f5594e7f444b5a6d70bfaefb5dc1724075eb118cd29d8c5d7a2b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.649814Z digest=sha256:9cbe0439faff6f27ccc167b5cbf9b8510325e84fbcabe31758b015a4c6c051fd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.653328Z digest=sha256:d91e6fd2ee9a3de820c90a71c78452c383f7f26b54582d9f9bb77bebf8bd0578

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.656921Z digest=sha256:9ec254cca104fd4f1a6ea59ade63bd75d111eafac6406a6ef9b1add8e611554e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.660463Z digest=sha256:2dcb0e467dcb901501ba7a028aa281dde61c724dca7347307bb0407d1bf2453a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.664131Z digest=sha256:8f62cd0daca149bf0b31545ffda152dded1f1088dfd3eaf8ef8a1eb3d08ce674

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.667970Z digest=sha256:3b29c3657cc928871e675621c167267f32158276508b51cfa2a44aecc90dbce0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.671895Z digest=sha256:ab5f14553b159a1097306529764e7c15669ec6b96c29d679f33488fa4e7300b7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.675154Z digest=sha256:7bc48662b0d8823f09206d234ed6a0cc50b1bcbc87537d15bc04f0aff5270907

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.678794Z digest=sha256:31e322ddbe9bdfda765b7f620666f85336f8b4e7b4371abb4e581e3fdcd2d262

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.682622Z digest=sha256:a20e2ce61e7c7068eb9a9b90c0fa2f7e35a83c34729042acc2fc70b8576dedb1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.686161Z digest=sha256:fe3f6250878fe859d8218c79efce1fbb262e478e6ae68c32e87163307bb00f88

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.689586Z digest=sha256:ed31d7e61fedaf2c871b4aadb235fcb943d568ab15d950dcfa935b210499aa46

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.693244Z digest=sha256:4af3daec62726221fec50bdff919809dc22efcc933617c420b8f6d4bfa4ce9a4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.697469Z digest=sha256:34918e9eb2084dcbf0ebaff8c84cad6e81f7a9af8dd3017342df5cd7687d602d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.700934Z digest=sha256:e6249a589d01e4dc81732905325b8ce19b241a662e22418da63a1ff4eb1960d6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.704590Z digest=sha256:d4925a85ba5221eb7e555936f0f0f89c732f864380f1eb17fb0e6f8d7f393e09

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.708477Z digest=sha256:8219cc04bf87e80c6575cebd964ffe4845bc9855dcd2c2bcd3d0595ee8e0dd45

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.713271Z digest=sha256:37c3d3be114b9c590393332f4bab272bf83f43ac5d1fbf34f6a0de06ec241136

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.716883Z digest=sha256:4080f9e6e59e59c9a145ea74ebbcec4a3e4afb7e61fb596123103debc99b6fa7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.721066Z digest=sha256:1688e9990ccd997c04656b3d2ed12aa48da2973555704453714c73e086dce1f7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.724673Z digest=sha256:08715934077f349c4464815d3f830f3765225234c041945c4789b3972ba13da3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.728523Z digest=sha256:9a0f817d3a4555b07978b7f9e9c118e86fd42214e3eb359f217edd93d32fcfe5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.732423Z digest=sha256:e7650bdff1ec3c1bbb41c0e21d251a69ffb7b2d4b7d5fa50d257f172bdffa8a9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.736341Z digest=sha256:69d9aa365bde1a25a7cc2026b1e7ad61ba9bf4cf5817058c4a206bf02b2ef4db

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.740328Z digest=sha256:0567bb2e37a65603ffbde95ca14449dec2f1425e81dc9351aa1ec8b517ef833e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.744166Z digest=sha256:2c860e11dd86b71b104b29a8b4583c26fbd5b331e411678579ec3343d26f229b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.748273Z digest=sha256:d9e7600d29f2caa6d06ca880f09396eff710a3cec936e8813611474c91d1fa12

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.752588Z digest=sha256:3bbe1975ca656a1e37f4971fad2bfc915f94f67180cc0ed3490c8dcb8a65bfd6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.756221Z digest=sha256:7dbd35b4e31a853a5f0a3097bf157b38c44a47479abee286929ffc76e7baa1a5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.759612Z digest=sha256:7e4092489758626dff93b409db72d67b5c51edeaddc5ba6fe99d80825bf4703f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.763201Z digest=sha256:9c36fb2c73821b7e6e59ee5a8db9e6f56c634ceec605a891b8fbbacac8bf239d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:32:23.766931Z digest=sha256:b446884bd98e9d487ae32f1a6729d9b796cad82235f19e689b377d2a4097a42d

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 2026-08-08T06:32:00.761636+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
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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 2026-08-08T06:32:00.761636+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
raw_fallback, observed 2026-08-07T05:32:23.911882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.