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Paper Citation Record · LEDGER

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2508.11391.

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

pith.paper-citation-record.v1
2508.11391 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

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measured 46 of 46 standing notices

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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

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation e35bfead-d4b0-417a-bb69-47972a794ccc · outbound

This paper cites Deep residual learning for image recognition,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Deep residual learning for image recognition,

Reference 1

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Observation 6693281b-e18a-49f9-ab7e-49ea8d7bd2ff · outbound

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Enhanced deep residual networks for single image super-resolution,

Reference 2

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Observation 45eed6e7-7472-4df7-99e8-52bb541baffd · outbound

This paper cites The ninth ntire 2024 efficient super-resolution challenge report,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution The ninth ntire 2024 efficient super-resolution challenge report,

Reference 3

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Observation 6289e3fa-c5f8-4f7f-9d38-93fd04d11dac · outbound

This paper cites Partial Large Kernel CNNs for Efficient Super-Resolution.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Partial Large Kernel CNNs for Efficient Super-Resolution

Reference 4

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Observation b5bf28c9-075f-45e7-8ab6-72cb4c3684dd · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 5

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Observation 042a33bb-6196-4a77-8ecd-0f3a1eca995e · outbound

This paper cites A convnet for the 2020s,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution A convnet for the 2020s,

Reference 6

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Observation e8befe28-43c2-4d3c-9e08-9c38caa6952d · outbound

This paper cites Scaling up your kernels to 31x31: Revisiting large kernel design in cnns,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Scaling up your kernels to 31x31: Revisiting large kernel design in cnns,

Reference 7

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Observation 0a7b599c-f092-4eac-a0f4-651a8c64c621 · outbound

This paper cites Single image super- resolution with lightweight multi-scale dilated attention network,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Single image super- resolution with lightweight multi-scale dilated attention network,

Reference 8

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Observation ca969a97-e5c7-4aad-9bab-a2f1c28b7e82 · outbound

This paper cites Visual attention network,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Visual attention network,

Reference 9

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Observation da89ece2-9123-426e-b550-d3c62a574ce9 · outbound

This paper cites Run, don’t walk: chasing higher flops for faster neural networks,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Run, don’t walk: chasing higher flops for faster neural networks,

Reference 10

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Observation 5912b47f-c494-4215-92e3-367684280cbb · outbound

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Learning a deep convolutional network for image super-resolution,

Reference 11

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Observation ed141d7f-3ac3-44e8-9496-69be75a14820 · outbound

This paper cites Xception: Deep learning with depthwise separable convolu- tions,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Xception: Deep learning with depthwise separable convolu- tions,

Reference 12

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Observation e0fe81e5-5be1-4670-8a6d-32a1db21c2da · outbound

This paper cites Rethinking depthwise separable convolu- tions: How intra-kernel correlations lead to improved mobilenets,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Rethinking depthwise separable convolu- tions: How intra-kernel correlations lead to improved mobilenets,

Reference 13

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Observation 3c856545-28c0-4b40-a582-3071dc00fd22 · outbound

This paper cites Lightweight image super- resolution with information multi-distillation network,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Lightweight image super- resolution with information multi-distillation network,

Reference 14

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Observation c083f1c5-e5d0-4474-81fa-c7412fd8f133 · outbound

This paper cites Residual feature distillation network for lightweight image super-resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Residual feature distillation network for lightweight image super-resolution,

Reference 15

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Observation beee7fb6-3bdf-4ebf-809f-809a53dc387b · outbound

This paper cites Blueprint separable residual network for efficient image super-resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Blueprint separable residual network for efficient image super-resolution,

Reference 16

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Observation c062c3e3-f2c2-4881-bc8e-aaa75a25f437 · outbound

This paper cites Reparameterized residual feature network for lightweight image super-resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Reparameterized residual feature network for lightweight image super-resolution,

Reference 17

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Observation b42daeda-b73d-44bb-8be6-7996672b42ad · outbound

This paper cites Residual feature aggregation network for image super-resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Residual feature aggregation network for image super-resolution,

Reference 18

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Observation 0d3844a6-95d0-4628-8927-176707cdc266 · outbound

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Swinir: Image restoration using swin transformer,

Reference 19

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Observation 11f11f32-acd6-4a91-9307-601225233e6b · outbound

This paper cites Efficient long-range attention network for image super-resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Efficient long-range attention network for image super-resolution,

Reference 20

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Observation 64be1ea1-10f1-4aeb-80ff-6bcbadda89ea · outbound

This paper cites Srformer: Permuted self-attention for single image super-resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Srformer: Permuted self-attention for single image super-resolution,

Reference 21

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Observation 35e7099e-7226-4d31-ad1b-b8484f18cae1 · outbound

This paper cites Camixersr: Only details need more.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Camixersr: Only details need more

Reference 22

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Observation 8fdde5a5-735e-40bf-9bf9-bfbf00c544a8 · outbound

This paper cites Pelk: Parameter- efficient large kernel convnets with peripheral convolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Pelk: Parameter- efficient large kernel convnets with peripheral convolution,

Reference 23

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Observation 2cc84e22-8762-4c0d-b643-cca1c504daa7 · outbound

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,

Reference 24

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Observation 85bbee91-ffe0-4919-ad3e-012211b45c60 · outbound

This paper cites Efficient image super-resolution using pixel attention,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Efficient image super-resolution using pixel attention,

Reference 25

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Observation 15427825-a27c-41b2-81dd-c7d0d0159691 · outbound

This paper cites Spatially-adaptive feature modulation for efficient image super-resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Spatially-adaptive feature modulation for efficient image super-resolution,

Reference 26

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Observation a67170a5-6ce3-4ec1-a3d0-46df7ea00ea4 · outbound

This paper cites Multi-scale attention network for single image super-resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Multi-scale attention network for single image super-resolution,

Reference 27

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Observation 9cfef152-cb2b-47b1-aef9-ee43f3723ba8 · outbound

This paper cites Smfanet: A lightweight self-modulation feature aggregation network for efficient image super- resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Smfanet: A lightweight self-modulation feature aggregation network for efficient image super- resolution,

Reference 28

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Observation 65e608e9-677b-402e-972a-3f15009b67b3 · outbound

This paper cites See more details: Efficient image super-resolution by experts mining,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution See more details: Efficient image super-resolution by experts mining,

Reference 29

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Observation f8b4e08b-f2de-4d8e-9d70-4a5f84a78165 · outbound

This paper cites Shufflemixer: An efficient convnet for image super-resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Shufflemixer: An efficient convnet for image super-resolution,

Reference 30

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Observation fad5d309-066e-4094-b728-56afe39307f1 · outbound

This paper cites Efficient image super-resolution using vast-receptive-field attention,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Efficient image super-resolution using vast-receptive-field attention,

Reference 31

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Observation 33121dfd-5a07-405d-8e47-a96a2b746f34 · outbound

This paper cites Large kernel distillation network for efficient single image super-resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Large kernel distillation network for efficient single image super-resolution,

Reference 32

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Observation a4290c59-a406-422a-a57c-8cfa8418dd42 · outbound

This paper cites Transforming image super- resolution: A convformer-based efficient approach,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Transforming image super- resolution: A convformer-based efficient approach,

Reference 33

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Observation 6a4c438f-7bba-4e3d-8b6b-dfbf13862fc8 · outbound

This paper cites Osffnet: Omni-stage feature fusion network for lightweight image super-resolution,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Osffnet: Omni-stage feature fusion network for lightweight image super-resolution,

Reference 34

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Observation effccea1-3333-4c29-b3f5-9e3fc82900f7 · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Mambair: A simple baseline for image restoration with state-space model,

Reference 35

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Observation c0c22c16-b4ae-4f59-92aa-2f32d363b065 · outbound

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 36

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Low- complexity single-image super-resolution based on nonnegative neighbor embedding,

Reference 37

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution On single image scale-up using sparse-representations,

Reference 38

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LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Unresolved cited work

Reference 39

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,

Reference 40

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Observation c80f4747-00d8-4b5f-904b-0bf360375887 · outbound

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Single image super-resolution from transformed self-exemplars,

Reference 41

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Observation 2bf4342b-2a8c-4099-8363-784af3374460 · outbound

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Sketch-based manga retrieval using manga109 dataset,

Reference 42

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Observation dc3cc5f3-692f-441a-8244-41aca57616f9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Adam: A Method for Stochastic Optimization

Reference 43

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Observation b2329e76-ea5f-48a5-9b81-98057a3e01ca · outbound

This paper cites Interpreting super-resolution networks with local attribution maps,.

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Interpreting super-resolution networks with local attribution maps,

Reference 44

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Observation 007207dc-053e-44f7-8554-3a439cdbd1b9 · outbound

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution Esrgan: enhanced super-resolution generative adversarial networks,

Reference 45

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Observation 4a8c4b5e-063e-4a56-9f30-9d6eb7d4eb57 · outbound

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

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution The unreasonable effectiveness of deep features as a perceptual metric,

Reference 46

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