Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:43:38.914760Z
Paper Citation Record · LEDGER
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution
As of 14 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2412.02234.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
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- verified fuzzy45
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 78a1919c-5e40-4101-9362-060fa99dfe30 · outbound
This paper cites Fast, accurate, and lightweight super-resolution with cascading residual network.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Fast, accurate, and lightweight super-resolution with cascading residual network
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1185978e-70b6-4926-b48b-ffc1129867d9 · outbound
This paper cites Pre-trained image processing transformer.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Pre-trained image processing transformer
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation af9cd5e8-fdec-4990-8775-8b6f2fbc3d99 · outbound
This paper cites Simple baselines for image restoration.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Simple baselines for image restoration
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 21acf323-dc98-4b1b-b050-371d3c30c93c · outbound
This paper cites Activating more pixels in image super- resolution transformer.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Activating more pixels in image super- resolution transformer
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:47.424887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a7f6b927-8ce4-431d-b134-c5e1c1d27aa6 · outbound
This paper cites Mobile- former: Bridging mobilenet and transformer.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Mobile- former: Bridging mobilenet and transformer
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 95bbe9ab-9144-47f4-a512-41640618a4ab · outbound
This paper cites Rethinking coarse-to-fine approach in sin- gle image deblurring.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Rethinking coarse-to-fine approach in sin- gle image deblurring
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ad17187d-6f72-4eba-bbb0-c16fe02be329 · outbound
This paper cites Fast, accurate and lightweight super-resolution with neural architecture search.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Fast, accurate and lightweight super-resolution with neural architecture search
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:46.974827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 226880d2-2fc4-4745-b2ba-3af59492eb1a · outbound
This paper cites Image super-resolution using deep convolutional net- works.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Image super-resolution using deep convolutional net- works
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cc40d460-b826-4e9a-bd2c-90d5a5ab256b · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdc8712a-6c1f-471b-ab32-aef6dcb9ff53 · outbound
This paper cites Image super-resolution using knowledge distillation.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Image super-resolution using knowledge distillation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:46.574838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation adf9bce6-08a3-43a7-85a6-083e909c5ab5 · outbound
This paper cites Mixer-based local residual network for lightweight image super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Mixer-based local residual network for lightweight image super-resolution
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:46.416776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 24104215-2c43-4964-b416-25bc7b60e0f8 · outbound
This paper cites Distilling the Knowledge in a Neural Network.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Distilling the Knowledge in a Neural Network
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation fc568952-31bd-49b3-881f-a414dddd4f4c · outbound
This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ebcbdda-f2f1-488d-ab3c-cd930973cbc2 · outbound
This paper cites Squeeze-and-excitation net- works.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Squeeze-and-excitation net- works
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:46.220091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 56d54767-fc8a-43e0-bd2b-9acd755e9dab · outbound
This paper cites Sin- gle image super-resolution from transformed self-exemplars.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Sin- gle image super-resolution from transformed self-exemplars
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:46.104755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a4cdb1d8-3717-4997-8c34-c3efaf0b4ed9 · outbound
This paper cites LightViT: Towards Light-Weight Convolution-Free Vision Transformers.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution LightViT: Towards Light-Weight Convolution-Free Vision Transformers
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d4be8cf-9898-428e-9c78-a3e7d9d9481c · outbound
This paper cites Fast and ac- curate single image super-resolution via information distil- lation network.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Fast and ac- curate single image super-resolution via information distil- lation network
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:45.892146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1399d563-2519-4f5e-ba77-da72dd10499a · outbound
This paper cites Lightweight image super-resolution with information multi- distillation network.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Lightweight image super-resolution with information multi- distillation network
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:45.764752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c863b80b-eb09-48ff-ad53-93e0e2d1d9d6 · outbound
This paper cites Accurate image super-resolution using very deep convolutional net- works.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Accurate image super-resolution using very deep convolutional net- works
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:45.515796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8b6af5cb-1e89-489f-8d42-965b9042fa22 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Adam: A Method for Stochastic Optimization
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d33b5524-54f2-49c9-9102-7951dc2230ac · outbound
This paper cites Residual local feature network for efficient super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Residual local feature network for efficient super-resolution
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:45.344932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 348ea66f-a2cc-4a85-99a6-4a333907c284 · outbound
This paper cites Srconvnet: A transformer-style con- vnet for lightweight image super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Srconvnet: A transformer-style con- vnet for lightweight image super-resolution
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:45.119021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4943b258-7ade-440b-85d5-a3faff511e5a · outbound
This paper cites On Efficient Transformer-Based Image Pre-training for Low-Level Vision.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution On Efficient Transformer-Based Image Pre-training for Low-Level Vision
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32efea84-c7ff-4323-a74a-8e621ef5355a · outbound
This paper cites Effi- cient and explicit modelling of image hierarchies for image restoration.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Effi- cient and explicit modelling of image hierarchies for image restoration
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:44.874839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ab42e444-12b7-4aec-81c9-0869706200df · outbound
This paper cites Swinir: Image restoration us- ing swin transformer.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Swinir: Image restoration us- ing swin transformer
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:44.714148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 138f1ac3-92ef-46cb-9b63-d27bf48b1ec7 · outbound
This paper cites Enhanced deep residual networks for sin- gle image super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Enhanced deep residual networks for sin- gle image super-resolution
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:44.527491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 875127f8-870a-4c51-9d94-59c980c550de · outbound
This paper cites Residual feature dis- tillation network for lightweight image super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Residual feature dis- tillation network for lightweight image super-resolution
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:44.294590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 19aa203a-1924-41a2-a596-a7a90b7daf43 · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Swin transformer: Hierarchical vision transformer using shifted windows
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:44.128342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d974bb70-d0bb-4906-9435-9f7a0be770e7 · outbound
This paper cites Transformer for single image super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Transformer for single image super-resolution
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:43.903862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2759b13f-36aa-4b1b-b703-f2d3de452337 · outbound
This paper cites Latticenet: Towards lightweight image super-resolution with lattice block.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Latticenet: Towards lightweight image super-resolution with lattice block
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ab98c3cd-51dc-4dff-8df9-b3ff4f2c21c0 · outbound
This paper cites Shufflenet v2: Practical guidelines for efficient cnn architec- ture design.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Shufflenet v2: Practical guidelines for efficient cnn architec- ture design
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ce76d141-30ac-4b02-a14c-0100894dea72 · outbound
This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dd758866-bf07-4a0a-9aad-0ee41d14f263 · outbound
This paper cites Sketch-based manga retrieval using manga109 dataset.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Sketch-based manga retrieval using manga109 dataset
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d305b1d6-dc19-49d7-bb2d-d17249dd4293 · outbound
This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13f6bd5c-abfa-412a-916c-32567cf9a107 · outbound
This paper cites Multi-attention based ul- tra lightweight image super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Multi-attention based ul- tra lightweight image super-resolution
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fabc9955-783e-4b06-bd83-5171ad805ecf · outbound
This paper cites Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:42.773055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b17464ce-2a5d-4d7b-9c66-0e17c9221cc0 · outbound
This paper cites Hy- brid pixel-unshuffled network for lightweight image super- resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Hy- brid pixel-unshuffled network for lightweight image super- resolution
Reference 37
- Resolution
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- raw_fallback, observed 2026-08-11T23:43:42.586475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ac9c5d20-154b-4a44-83dd-03718a201cca · outbound
This paper cites Shufflemixer: An efficient convnet for image super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Shufflemixer: An efficient convnet for image super-resolution
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:42.345100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 151450d3-c7ac-47c0-afb2-3b9a234cbe77 · outbound
This paper cites Spatially-adaptive feature modulation for efficient image super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Spatially-adaptive feature modulation for efficient image super-resolution
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:42.147761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bec208b9-8767-4d2e-a4cc-402f3e049776 · outbound
This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Ntire 2017 challenge on single image super-resolution: Methods and results
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:42.004747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 228830c7-d47e-453d-8c93-547df28786e6 · outbound
This paper cites Attention is all you need.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Attention is all you need
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:41.826195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5f0a886f-b044-4d0e-98bc-1e3c7a52280f · outbound
This paper cites Omni aggregation networks for lightweight im- age super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Omni aggregation networks for lightweight im- age super-resolution
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:41.681738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 07dfb02c-3eb8-4d43-8ae4-e4c1e228c45b · outbound
This paper cites Global aligned structured sparsity learning for efficient image super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Global aligned structured sparsity learning for efficient image super-resolution
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:41.605050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3e5e97e4-6068-4d9c-9778-694204230880 · outbound
This paper cites Linformer: Self-Attention with Linear Complexity.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Linformer: Self-Attention with Linear Complexity
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:43:38.306309Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7265f3a0-f79c-4f97-9c74-212f4c3ae5ac · outbound
This paper cites Osffnet: Omni-stage feature fu- sion network for lightweight image super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Osffnet: Omni-stage feature fu- sion network for lightweight image super-resolution
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:41.464755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9d60ddbc-ba0c-4ac6-9538-e0d212196204 · outbound
This paper cites Image quality assessment: from error visibility to structural similarity.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Image quality assessment: from error visibility to structural similarity
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:41.270492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f3f1195c-7c8c-4bfd-be69-81cdc99c1b16 · outbound
This paper cites Lite vision trans- former with enhanced self-attention.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Lite vision trans- former with enhanced self-attention
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:41.218726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2df1aac6-9fec-473d-85f9-84decbf22850 · outbound
This paper cites See more details: Efficient image super- resolution by experts mining.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution See more details: Efficient image super- resolution by experts mining
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:41.094998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 48e1c35d-947c-4201-8b40-d84a060bbde6 · outbound
This paper cites Restormer: Efficient transformer for high-resolution image restoration.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Restormer: Efficient transformer for high-resolution image restoration
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:40.892402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a2d677f6-e14f-4949-b8d4-b2dc85593f29 · outbound
This paper cites Learning deep cnn denoiser prior for image restoration.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Learning deep cnn denoiser prior for image restoration
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:40.814963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4d0ae19e-3432-488c-9599-5907bb4d74cb · outbound
This paper cites Shufflenet: An extremely efficient convolutional neural net- work for mobile devices.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Shufflenet: An extremely efficient convolutional neural net- work for mobile devices
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:40.684905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a4e85807-f68b-46f9-917e-f3d46574f32e · outbound
This paper cites Image super-resolution using very deep residual channel attention networks.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Image super-resolution using very deep residual channel attention networks
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:40.454750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 33e28902-560c-4a53-992d-e7477caec667 · outbound
This paper cites Data-free knowledge dis- tillation for image super-resolution.
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution Data-free knowledge dis- tillation for image super-resolution
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:43:40.244824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.