Paper Citation Record · LEDGER

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.04409.

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

pith.paper-citation-record.v1
2507.04409 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:53:13.217016Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

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

36 of 36 outbound references displayed

verified exact7
verified fuzzy26
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5479630-724d-4339-8d85-c10aa3d570e5 · outbound

This paper cites Intelligent remote sensing satellite system.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Intelligent remote sensing satellite system

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.782775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 92ea0d45-4708-4f8a-a7ad-5eb7a5ed0438 · outbound

This paper cites Hyperspectral imaging: techniques for spectral detection and classification, volume 1.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Hyperspectral imaging: techniques for spectral detection and classification, volume 1

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.760786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91d2cdda-03a2-4903-8a73-8288fe8190fe · outbound

This paper cites Deep fea- ture extraction and classification of hyperspectral images based on convolutional neural networks.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Deep fea- ture extraction and classification of hyperspectral images based on convolutional neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.742543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 239d2979-b2fb-4ab1-83a5-095ab1d5fd31 · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Sigmoid-weighted linear units for neural network function approximation in reinforcement learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.722197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45ec30bb-d1ee-4ee0-b183-d8d24382d364 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:10.472880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd506281-23e0-498b-996e-566be2ce9cbf · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.705360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01507812-8e56-40c3-a34e-9ee15efb7cac · outbound

This paper cites CMTNet: Convolutional Meets Transformer Network for Hyperspectral Images Classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture CMTNet: Convolutional Meets Transformer Network for Hyperspectral Images Classification

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:53:14.606265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 388e910f-5965-4141-b660-1ca30f8c3f15 · outbound

This paper cites Spatial-spectral transformer for hyperspectral image classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Spatial-spectral transformer for hyperspectral image classification

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.592108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0acde16d-3222-4e7d-bd18-a7eda759f395 · outbound

This paper cites 3dss-mamba: 3d-spectral-spatial mamba for hyperspectral image classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture 3dss-mamba: 3d-spectral-spatial mamba for hyperspectral image classification

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.388438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 223f2302-9006-44fd-85f0-74506b74f6dc · outbound

This paper cites Spectralformer: Rethinking hyperspectral image classification with transform- ers.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Spectralformer: Rethinking hyperspectral image classification with transform- ers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:18.149838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 397d9980-3fab-4128-af79-11105110b8db · outbound

This paper cites Going deeper with contextual cnn for hyperspectral image classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Going deeper with contextual cnn for hyperspectral image classification

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:17.893697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5f79e77-0175-41b9-beca-888a25d62a02 · outbound

This paper cites 3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture 3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:53:14.423087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 336f42f4-b21f-4106-a0e3-aa55ac5edf29 · outbound

This paper cites Dgcnet: An efficient 3d-densenet based on dynamic group convolution for hyperspectral remote sensing image classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Dgcnet: An efficient 3d-densenet based on dynamic group convolution for hyperspectral remote sensing image classification

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:17.589209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51bfb8f6-c1e0-47c8-8d83-38046fe6128b · outbound

This paper cites Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:53:14.169812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97f755f3-5342-4266-b4a0-a6ecb6e1d845 · outbound

This paper cites Efficient Dynamic Attention 3D Convolution for Hyperspectral Image Classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Efficient Dynamic Attention 3D Convolution for Hyperspectral Image Classification

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:53:14.003469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5e88274-4f64-4a8e-8f65-5d7351af7c01 · outbound

This paper cites Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:53:13.827501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90ed2ff6-e769-4cbf-9316-157fa0f682c4 · outbound

This paper cites Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:53:13.628563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c9082577-3127-437e-aa2c-e6861361dfef · outbound

This paper cites Spatial-geometry enhanced 3d dynamic snake convolu- tional neural network for hyperspectral image classification, 2025.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Spatial-geometry enhanced 3d dynamic snake convolu- tional neural network for hyperspectral image classification, 2025

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:17.263109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2718a14-154c-4a35-9ae0-ded28458b268 · outbound

This paper cites Spatial-spectral hyperspectral classification based on learnable 3d group convolution.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Spatial-spectral hyperspectral classification based on learnable 3d group convolution

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:16.974208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f715ea2f-7921-41e5-8e45-b9e2eb239fac · outbound

This paper cites Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:53:13.430528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1197af4f-84c6-4095-a0fc-da257424b28f · outbound

This paper cites Doubleconvpool-structured 3d-cnn for hyper- spectral remote sensing image classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Doubleconvpool-structured 3d-cnn for hyper- spectral remote sensing image classification

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:16.660943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62cb74cf-0e69-48a8-9ccb-e2492454d8dc · outbound

This paper cites Hyperspectral remote sensing image classification using three-dimensional-squeeze-and- excitation-densenet (3d-se-densenet).

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Hyperspectral remote sensing image classification using three-dimensional-squeeze-and- excitation-densenet (3d-se-densenet)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:16.328007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 234d0c70-b768-44f3-ba83-b84b24c9795f · outbound

This paper cites Mambahsi: Spatial- spectral mamba for hyperspectral image classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Mambahsi: Spatial- spectral mamba for hyperspectral image classification

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:16.033517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7507ae4d-9928-4259-8e0e-83ea9076855b · outbound

This paper cites Swin transformer v2: Scaling up capacity and resolution.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Swin transformer v2: Scaling up capacity and resolution

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.797542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b31f565d-6587-4b10-aae2-bf6a3f5cb3fc · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Swin transformer: Hierarchical vision transformer using shifted windows

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.681738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d3350da-dcbc-4deb-b857-148a2b64bcb4 · outbound

This paper cites Deep supervised learning for hyperspectral data classification through con- volutional neural networks.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Deep supervised learning for hyperspectral data classification through con- volutional neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.596845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a85fbcb-8eec-428d-b05b-e24d99410d25 · outbound

This paper cites Spectral–spatial feature tokeniza- tion transformer for hyperspectral image classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Spectral–spatial feature tokeniza- tion transformer for hyperspectral image classification

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.482683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dfd22c4e-f53e-44af-93f9-e7b309cafeb6 · outbound

This paper cites A fast dense spectral– spatial convolution network framework for hyperspectral images classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture A fast dense spectral– spatial convolution network framework for hyperspectral images classification

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.378960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df999ac0-c7c4-4d58-bcaa-931055355bbf · outbound

This paper cites Hyperspectral image transformer classification networks.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Hyperspectral image transformer classification networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.281166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7419b8b-db64-4b0a-b0bf-c99827c9a6ee · outbound

This paper cites SpectralMamba: Efficient Mamba for Hyperspectral Image Classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture SpectralMamba: Efficient Mamba for Hyperspectral Image Classification

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:12.614065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d798b402-82fd-4b42-bfeb-a0a9fee9dc9e · outbound

This paper cites Multi-scale dense networks for hyperspec- tral remote sensing image classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Multi-scale dense networks for hyperspec- tral remote sensing image classification

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.177189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7f126cf-85b0-4eed-b55e-78ba863ffe94 · outbound

This paper cites Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classifi- cation.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classifi- cation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:15.082675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c5c5c33-a0f0-4639-9376-16935f02505c · outbound

This paper cites Deep feature aggregation network for hyperspectral remote sensing image classification.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Deep feature aggregation network for hyperspectral remote sensing image classification

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:14.955357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 603a7f02-1b8d-4914-88ec-4ee5b0906489 · outbound

This paper cites A survey on visual mamba.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture A survey on visual mamba

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:12.973933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec6ecf6-95cb-469e-ac01-bdf7054becef · outbound

This paper cites Spectral–spatial feature extraction for hyperspectral image classification: A dimension reduction and deep learning approach.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Spectral–spatial feature extraction for hyperspectral image classification: A dimension reduction and deep learning approach

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:14.835876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff68511f-d73a-4054-9509-bbcfb02b9899 · outbound

This paper cites Spectral–spatial residual network for hyperspectral image classification: A 3-d deep learning framework.

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture Spectral–spatial residual network for hyperspectral image classification: A 3-d deep learning framework

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:53:14.708809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.