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Paper Citation Record · LEDGER

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution

As of 19 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.05041.

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

pith.paper-citation-record.v1
2506.05041 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:30:37.307045Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

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Outbound references

Observation 6c162847-f6f3-4042-8ec6-2734de6ec0fd · outbound

This paper cites Hyperspectral and multispectral image fusion based on band simulation,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Hyperspectral and multispectral image fusion based on band simulation,

Reference 1

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Observation 3297f1fd-12df-4f44-938f-79b48852365a · outbound

This paper cites Pre-trained vggnet architecture for remote-sensing image scene classification,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Pre-trained vggnet architecture for remote-sensing image scene classification,

Reference 2

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Observation 57e12995-50d2-4faf-aa7a-7e6c207adc18 · outbound

This paper cites Feature fusion with deep supervision for remote-sensing image scene classification,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Feature fusion with deep supervision for remote-sensing image scene classification,

Reference 3

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Observation 7a4b25cc-ac4c-46bd-ace2-c652e627b9d0 · outbound

This paper cites Bag of words kaze (bowk) with two-step classification for high-resolution remote sensing images,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Bag of words kaze (bowk) with two-step classification for high-resolution remote sensing images,

Reference 4

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Observation 12498ebd-c7da-44da-913e-c60c5752a0a1 · outbound

This paper cites Patch-based discriminative learning for remote sensing scene classification,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Patch-based discriminative learning for remote sensing scene classification,

Reference 5

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Observation f6743149-0442-4501-9d00-33d1314ba69a · outbound

This paper cites Single-image super-resolution based on a self-attention deep neural network,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Single-image super-resolution based on a self-attention deep neural network,

Reference 6

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Observation 5beb7a25-47d9-4f8f-aada-4bc180310adb · outbound

This paper cites Deep posterior distribution-based embedding for hyperspectral image super-resolution,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Deep posterior distribution-based embedding for hyperspectral image super-resolution,

Reference 7

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Observation e4ff63b2-1d82-4e52-94d4-75095c06e504 · outbound

This paper cites Hyperspectral image super-resolution based on feature diversity extraction,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Hyperspectral image super-resolution based on feature diversity extraction,

Reference 8

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Observation 9a9b972c-0aae-4d1e-ba80-e4df9a9372c2 · outbound

This paper cites Mixed 2D/3D convolutional network for hyperspectral image super-resolution,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Mixed 2D/3D convolutional network for hyperspectral image super-resolution,

Reference 9

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Observation 7f41dce2-e60f-4f1a-bf2a-b85c2badcc08 · outbound

This paper cites Multi-scale feature mapping net- work for hyperspectral image super-resolution,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Multi-scale feature mapping net- work for hyperspectral image super-resolution,

Reference 10

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Observation e3d8a6cc-50de-42fa-bdc3-997798a6d141 · outbound

This paper cites SSIR: Spatial shuffle multi-head self-attention for single image super-resolution,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution SSIR: Spatial shuffle multi-head self-attention for single image super-resolution,

Reference 11

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Observation 88f041f7-6971-4d8c-bb9d-5ab4246ca0a5 · outbound

This paper cites Attention is all you need,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Attention is all you need,

Reference 12

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Source-reported events for the cited work

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Observation 73533202-bbb0-43d6-a373-3adaee9439ec · outbound

This paper cites Attention augmented convolutional networks,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Attention augmented convolutional networks,

Reference 13

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Observation 301ea454-2695-4882-ba06-667790c48572 · outbound

This paper cites CBAM: Convolutional block attention module,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution CBAM: Convolutional block attention module,

Reference 14

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Observation 05913a5d-a6ac-4a84-a239-02f4a132df5c · outbound

This paper cites Recurrent models of visual attention.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Recurrent models of visual attention

Reference 15

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Observation 1dca4531-1c54-490a-838d-fc114f20b816 · outbound

This paper cites Multiple Object Recognition with Visual Attention.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Multiple Object Recognition with Visual Attention

Reference 16

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Observation 69368e63-87b0-4512-9c1f-4b3376cf5316 · outbound

This paper cites Squeeze-and-excitation networks,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Squeeze-and-excitation networks,

Reference 17

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Observation 2e586c1b-6723-457f-b87c-d3cf6ad0924e · outbound

This paper cites BAM: Bottleneck Attention Module.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution BAM: Bottleneck Attention Module

Reference 18

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Observation 7480b1d3-36ba-40e5-9e7f-f3f5d7b49a8c · outbound

This paper cites Enhancing hy- perspectral images via diffusion model and group-autoencoder super- resolution network,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Enhancing hy- perspectral images via diffusion model and group-autoencoder super- resolution network,

Reference 19

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Observation e6b5c760-9b78-484d-80a5-cfc608bae8af · outbound

This paper cites A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution

Reference 20

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Observation 8004fcfa-0b32-4234-a56a-fca222e31bd8 · outbound

This paper cites Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network

Reference 21

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Observation dbc117fd-bf42-4ea5-b187-07931cf44dd7 · outbound

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

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Accurate image super-resolution using very deep convolutional networks,

Reference 22

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Observation 2ef25d5d-6917-47f0-9542-fcaa32271306 · outbound

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

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Enhanced deep residual networks for single image super-resolution,

Reference 23

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Observation 236f17b4-cf3e-4ecf-935f-94e5ee0f6cba · outbound

This paper cites Msdformer: Multi-scale deformable transformer for hyperspectral image super-resolution,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Msdformer: Multi-scale deformable transformer for hyperspectral image super-resolution,

Reference 24

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Observation c89c6915-0eb9-4c89-b01e-1a5f00e4bd11 · outbound

This paper cites AS 3 ITransUNet: Spatial- Spectral Interactive Transformer U-Net with Alternating Sampling for Hy- perspectral Image Super-Resolution,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution AS 3 ITransUNet: Spatial- Spectral Interactive Transformer U-Net with Alternating Sampling for Hy- perspectral Image Super-Resolution,

Reference 25

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Observation e5e1fcad-92de-4dd2-a9d9-c3bc41db2fb1 · outbound

This paper cites Accelerating the super-resolution convolutional neural network,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution Accelerating the super-resolution convolutional neural network,

Reference 26

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Observation 65a6cdd6-8916-4fdd-8d9c-58d174f5e008 · outbound

This paper cites A comparison of hyperspectral super-resolution techniques for boreal forest imagery,.

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution A comparison of hyperspectral super-resolution techniques for boreal forest imagery,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.