Paper Citation Record · LEDGER

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 3 inbound Pith citation observations for arXiv:2505.00374.

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

pith.paper-citation-record.v1
2505.00374 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:48:11.098543Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:55:28.829796Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:30:37.336708Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy18
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 80963ca2-187a-4150-949b-0485d906eb8a · outbound

This paper cites Hyperspectral remote sensing in precision agriculture: Present status, challenges, and future trends,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Hyperspectral remote sensing in precision agriculture: Present status, challenges, and future trends,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.914207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 329a6088-d6df-4152-95cc-7d2bd398459b · outbound

This paper cites Hyperspectral pansharpening: A review,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Hyperspectral pansharpening: A review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.858671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 885448a2-19cd-4f7e-8aa7-848da2434ab7 · outbound

This paper cites Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hyperspectral imagery,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hyperspectral imagery,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.814368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 855a6c87-ff34-4e2a-be00-abd4f27d0afa · outbound

This paper cites Spectral variability in hyperspectral data unmixing: A comprehensive review,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Spectral variability in hyperspectral data unmixing: A comprehensive review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.773206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ede7ab1-bb7d-4477-9460-943728bffb7a · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Pre-trained vggnet architecture for remote-sensing image scene classification,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.381243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 818bec3e-711d-4d0a-8ce4-dc3ea24639f8 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Feature fusion with deep supervision for remote-sensing image scene classification,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.413330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c06caf58-9d40-41c2-ab52-132134bad100 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Bag of words kaze (bowk) with two-step classification for high-resolution remote sensing images,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.438170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 603f5b81-a4ee-43d9-b2a3-80ff26477739 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Patch-based discriminative learning for remote sensing scene classification,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.464926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9658a743-74d2-42bc-9915-5f0ddbf4b993 · outbound

This paper cites Lcrca: image super- resolution using lightweight concatenated residual channel attention net- works,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Lcrca: image super- resolution using lightweight concatenated residual channel attention net- works,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.502469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeea04ed-e305-4c27-afce-7a4dc3d8e4e0 · outbound

This paper cites Sbhsr: single-band super- resolution method for hyperspectral images based on blind degradation and fusion of auxiliary band,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Sbhsr: single-band super- resolution method for hyperspectral images based on blind degradation and fusion of auxiliary band,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.618657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c4729ed-beec-4cc2-814d-28c1e4699501 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Deep posterior distribution-based embedding for hyperspectral image super-resolution,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.552086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a8cb6d-8ec4-4237-89a1-34362e97288f · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Msdformer: Multi-scale deformable transformer for hyperspectral image super-resolution,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.572012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e82a8b9c-8388-417e-a884-37d30893b7c8 · outbound

This paper cites Towards lightweight super-resolution with dual regression learning,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Towards lightweight super-resolution with dual regression learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.549460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 964df338-291f-4e75-b5bb-eba0bcdc973c · outbound

This paper cites Learning with privileged infor- mation for efficient image super-resolution,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Learning with privileged infor- mation for efficient image super-resolution,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.511723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8ba0a9cc-46b0-4b21-a021-bc2d60cf8c23 · outbound

This paper cites Image super-resolution us- ing knowledge distillation,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Image super-resolution us- ing knowledge distillation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.616007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7bd101-e5c4-456a-8f26-46c4a594a8b6 · outbound

This paper cites Achieving on-mobile real- time super-resolution with neural architecture and pruning search,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Achieving on-mobile real- time super-resolution with neural architecture and pruning search,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.455197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 760e8c9a-b422-4ee6-9ff8-9bd5bc1cbf47 · outbound

This paper cites A convex low-rank regularization method for hyperspectral super-resolution,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network A convex low-rank regularization method for hyperspectral super-resolution,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.351180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07ddd3ca-5c2d-4ffd-825b-58b896d3e474 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Binarized neural network for single image super resolution,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.194450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9dde03b5-f4e3-4b82-a534-bb55f427168b · outbound

This paper cites Efficient super resolution using binarized neural network,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Efficient super resolution using binarized neural network,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.151876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 855117fb-0263-45c8-a4b1-c4f635d2917a · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Hyperspectral image super-resolution based on feature diversity extraction,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.684434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cfc5116-0073-4c6f-a960-a9273fc61987 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.698398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b6af624-91cb-40b9-b1aa-81511f58cce0 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Fast, accurate, and lightweight super-resolution with cascading residual network,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:12.032047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7d0a3439-7247-4196-b862-a6dc8ca73822 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Deeply-recursive convolutional net- work for image super-resolution,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:11.962782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6d12f9ef-1669-40c3-b6d9-d0ad18596259 · outbound

This paper cites Hdconv: Heterogeneous kernel-based dilated convolutions,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Hdconv: Heterogeneous kernel-based dilated convolutions,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:11.908836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b01e41d-911b-4092-b698-5b3914daaeed · outbound

This paper cites A lightweight neural network combining dilated convolution and depthwise separable convolution,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network A lightweight neural network combining dilated convolution and depthwise separable convolution,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:11.832931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b74e3b33-4517-4721-83ec-88e78ac3a074 · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Multi-Scale Context Aggregation by Dilated Convolutions

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.861049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1eb3f43-cae3-4e5f-9d1b-3c10f8991c12 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Enhancing hy- perspectral images via diffusion model and group-autoencoder super- resolution network,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.894405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1235a15d-8758-4a86-8bf4-0bd6cc2d90d8 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.900492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684a7cbb-eb04-421d-a174-d3f978ad0038 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Accelerating the super-resolution convolutional neural network,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:11.587565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d636a3a1-66c1-4585-bc1c-74ddd8c961bd · outbound

This paper cites Exploring the relationship between 2d/3d convolution for hyperspectral image super-resolution,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Exploring the relationship between 2d/3d convolution for hyperspectral image super-resolution,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:11.535923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4c2f55c-a942-4768-bc90-d781d21838e1 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Mixed 2d/3d convolutional network for hyperspectral image super-resolution,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:48:11.500845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ae5c558-ccb1-40a1-95dd-257a573c7a40 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Accurate image super-resolution using very deep convolutional networks,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:10.972549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 231b498a-cc54-44a1-8647-dbd616ef12c8 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Enhanced deep residual networks for single image super-resolution,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:11.019364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f33ef23e-88c9-4069-96ff-15879608c0a5 · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network Multi-scale feature mapping net- work for hyperspectral image super-resolution,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:11.039451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7b7d7c0-688b-475b-b464-71d24091426a · outbound

This paper cites As 3 itransunet: Spatial-spectral interactive transformer u-net with alternating sampling for hyperspectral image super-resolution,.

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network As 3 itransunet: Spatial-spectral interactive transformer u-net with alternating sampling for hyperspectral image super-resolution,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:11.077889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7ad9ce5-32ff-47f1-8548-d957f3185fcf · outbound

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

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network A comparison of hyperspectral super-resolution techniques for boreal forest imagery,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:11.098543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1c600059-0fc7-48ab-8b1d-b08b5f81e63b · inbound

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

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T23:55:28.829796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution cites this paper.

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

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:30:37.342610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a3a5774-84ef-4739-abc9-90a060f4f46c · inbound

Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation cites this paper.

Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:15.676096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.