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Paper Citation Record · LEDGER

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification

As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2504.15612.

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

pith.paper-citation-record.v1
2504.15612 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:28:09.777856Z

measured 45 of 45 standing notices

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

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation b4c1865e-4807-4881-9731-a63a46cbb608 · outbound

This paper cites Hyperspectral image data analysis.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Hyperspectral image data analysis

Reference 1

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Observation b6b277f4-6f5f-4a39-b139-09f4861b4787 · outbound

This paper cites Fine-Scale Urban Informal Settle- ments Mapping by Fusing Remote Sensing Images and Building Data via a Transformer-Based Multimodal Fusion Network.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Fine-Scale Urban Informal Settle- ments Mapping by Fusing Remote Sensing Images and Building Data via a Transformer-Based Multimodal Fusion Network

Reference 2

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Observation d23a58b5-ea1e-4f58-a690-a4d4e22575a8 · outbound

This paper cites Hyperspectral re- mote sensing in lithological mapping, mineral explo- ration, and environmental geology: an updated review.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Hyperspectral re- mote sensing in lithological mapping, mineral explo- ration, and environmental geology: an updated review

Reference 3

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Observation 33ad4880-9da8-42b9-9799-a867c6fc9059 · outbound

This paper cites NCGLF2: Network combining global and local features for fusion of multisource remote sensing data.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification NCGLF2: Network combining global and local features for fusion of multisource remote sensing data

Reference 4

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Observation 28bba16b-120b-4966-a9c3-03704990b9f9 · outbound

This paper cites Advanced Spectral Classifiers for Hyperspectral Images: A review.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Advanced Spectral Classifiers for Hyperspectral Images: A review

Reference 5

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Observation 683ec3fe-e9c6-4e53-9340-950a0e259075 · outbound

This paper cites Classification of hy- perspectral remote sensing images with support vector machines.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Classification of hy- perspectral remote sensing images with support vector machines

Reference 6

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Observation afd9e1ac-2e9d-4ce2-bdab-5794f3c8478d · outbound

This paper cites Class-Specific Random Forest With Cross-Correlation Constraints for Spectral–Spatial Hy- perspectral Image Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Class-Specific Random Forest With Cross-Correlation Constraints for Spectral–Spatial Hy- perspectral Image Classification

Reference 7

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Observation f5ee8cf7-396b-4e47-831c-4925f6f81045 · outbound

This paper cites SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hy- perspectral Imagery.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hy- perspectral Imagery

Reference 8

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Observation 00804195-134b-48d0-8c3c-681a260a40d4 · outbound

This paper cites Folded LDA: Extending the Linear Discriminant Analysis Algorithm for Feature Extraction and Data Reduction in Hyperspectral Remote Sensing.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Folded LDA: Extending the Linear Discriminant Analysis Algorithm for Feature Extraction and Data Reduction in Hyperspectral Remote Sensing

Reference 9

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Observation 7d2a95cc-2051-4d28-9024-afd4ba73732a · outbound

This paper cites Marginalized Graph Self- Representation for Unsupervised Hyperspectral Band Selection.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Marginalized Graph Self- Representation for Unsupervised Hyperspectral Band Selection

Reference 10

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Observation b60904af-4fa0-4097-80dc-ffc585c17c3c · outbound

This paper cites Extended profiles with mor- phological attribute filters for the analysis of hyperspec- tral data.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Extended profiles with mor- phological attribute filters for the analysis of hyperspec- tral data

Reference 11

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

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Observation 5589c610-74aa-4bfe-ab72-33e305397c5b · outbound

This paper cites Semisuper- vised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Semisuper- vised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs

Reference 12

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

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Observation 1dce477f-f449-40eb-9790-4f27cc753349 · outbound

This paper cites Spatial-Aware Network for Hyperspectral Image Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Spatial-Aware Network for Hyperspectral Image Classification

Reference 13

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

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Observation 4990f0ef-61e3-4ae6-b461-46ea04a2cccd · outbound

This paper cites Fully Con- textual Network for Hyperspectral Scene Parsing.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Fully Con- textual Network for Hyperspectral Scene Parsing

Reference 14

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Observation d44792fa-5b96-4369-aad0-a67e90f27d6d · outbound

This paper cites Hy- perspectral Image Classification Using Attention-Only Spatial-Spectral Network Based on Transformer.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Hy- perspectral Image Classification Using Attention-Only Spatial-Spectral Network Based on Transformer

Reference 15

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Observation bad2d86a-a241-4f21-8694-8048c5fdd908 · outbound

This paper cites Deep Convolutional Neural Networks for Hyperspectral Image Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Deep Convolutional Neural Networks for Hyperspectral Image Classification

Reference 16

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Observation db3cf906-5321-4161-a403-c05af67f8733 · outbound

This paper cites Hyperspectral Image Transformer Classification Networks.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Hyperspectral Image Transformer Classification Networks

Reference 17

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Observation 0e94257c-4f01-44b0-8ae1-f70143313613 · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 18

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Observation 756e96bd-9f06-43d7-aaf7-49c1d23133a0 · outbound

This paper cites Attention Is All You Need.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Attention Is All You Need

Reference 19

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Observation 7034409e-4b18-45f7-a776-7e001232e2fc · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Efficiently Modeling Long Sequences with Structured State Spaces

Reference 20

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Observation 52db952a-9474-406b-9b79-f5bc0cd95e18 · outbound

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

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 21

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Observation e397cb96-6b5c-46bb-97a6-9963420c28f0 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 22

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Observation dff6a16e-9b1d-4ebf-b56a-60b0848b95f3 · outbound

This paper cites VMamba: Visual State Space Model.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification VMamba: Visual State Space Model

Reference 23

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Observation d3b7bc7d-afff-4941-acf5-f4de732e5e3d · outbound

This paper cites MambaHSI: Spatial–Spectral Mamba for Hyperspectral Image Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification MambaHSI: Spatial–Spectral Mamba for Hyperspectral Image Classification

Reference 24

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

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Observation 6519320b-2a22-46bd-897a-6b7aacd85009 · outbound

This paper cites DualMamba: A Lightweight Spec- tral–Spatial Mamba-Convolution Network for Hyper- spectral Image Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification DualMamba: A Lightweight Spec- tral–Spatial Mamba-Convolution Network for Hyper- spectral Image Classification

Reference 25

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

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Observation 8ddb29f8-0f81-427d-a94f-7e92f4761e83 · outbound

This paper cites Going Deeper With Contextual CNN for Hyperspectral Image Classifica- tion.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Going Deeper With Contextual CNN for Hyperspectral Image Classifica- tion

Reference 26

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

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Observation c58eb0dc-f6d4-44f8-9752-72c6383fd05a · outbound

This paper cites HybridSN: Exploring 3- D–2-D CNN Feature Hierarchy for Hyperspectral Im- age Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification HybridSN: Exploring 3- D–2-D CNN Feature Hierarchy for Hyperspectral Im- age Classification

Reference 27

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

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Observation 50db20b5-1ad3-4531-846f-9f2419da8f03 · outbound

This paper cites Channel-Layer-Oriented Lightweight Spectral–Spatial Network for Hyperspectral Image Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Channel-Layer-Oriented Lightweight Spectral–Spatial Network for Hyperspectral Image Classification

Reference 28

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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.

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Observation 8d5d7993-bdef-4bac-94df-1ff772201366 · outbound

This paper cites Beyond the Patchwise Classification: Spectral-Spatial Fully Convo- lutional Networks for Hyperspectral Image Classifica- tion.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Beyond the Patchwise Classification: Spectral-Spatial Fully Convo- lutional Networks for Hyperspectral Image Classifica- tion

Reference 29

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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.

source=pdf_text observed=2026-08-16T11:28:09.707208Z digest=sha256:a0c2e90af4263fbcf6a13a69dd7bf09042f68dbb9685516d0319e8f9d8c59d45

Observation 7c1a68aa-3653-4a57-a114-b756f0c7588b · outbound

This paper cites Fully Con- textual Network for Hyperspectral Scene Parsing.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Fully Con- textual Network for Hyperspectral Scene Parsing

Reference 30

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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.

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Observation ceea5c0a-e2fc-4181-99a0-1efed9a6d3fa · outbound

This paper cites SpectralFormer: Rethinking Hy- perspectral Image Classification With Transformers.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification SpectralFormer: Rethinking Hy- perspectral Image Classification With Transformers

Reference 31

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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.

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Observation 651ce107-f66b-4b19-972e-3b8dfc2522b7 · outbound

This paper cites Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification

Reference 32

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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.

source=pdf_text observed=2026-08-16T11:28:09.720668Z digest=sha256:5a1d31fa3351dd3e112729a384709e203b0a22136208fd9171755b6a4309a220

Observation e7b8b30a-e54c-4c15-b816-219ea930e2b0 · outbound

This paper cites Spatial–Spectral Transformer With Cross-Attention for Hyperspectral Image Classifica- tion.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Spatial–Spectral Transformer With Cross-Attention for Hyperspectral Image Classifica- tion

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:10.084307Z

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.

source=pdf_text observed=2026-08-16T11:28:09.724432Z digest=sha256:887b9e86b7777484aca105e3d79f6ad755cde7f4fc20adc5c9444d6685c8401a

Observation 70c4bbcd-c504-4ee1-ae2b-92604f991f8f · outbound

This paper cites Spectral Query Spatial: Revisiting the Role of Center Pixel in Transformer for Hyperspectral Image Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Spectral Query Spatial: Revisiting the Role of Center Pixel in Transformer for Hyperspectral Image Classification

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:10.069527Z

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.

source=pdf_text observed=2026-08-16T11:28:09.728343Z digest=sha256:4ffb748829bb4703908e73d3addf2bc172592013f1347a9e6f7f1f21dd4bab9f

Observation aaea3da8-89c5-49f4-a684-7d20afc466d5 · outbound

This paper cites Hyperspectral Image Classifica- tion Using Groupwise Separable Convolutional Vision Transformer Network.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Hyperspectral Image Classifica- tion Using Groupwise Separable Convolutional Vision Transformer Network

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:10.055238Z

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.

source=pdf_text observed=2026-08-16T11:28:09.732324Z digest=sha256:2455601f6dfdf186628428b6f7f99e7ac25b6c8424ace2b1da05b73a0ff35ace

Observation 2dd97be6-70d3-4553-b707-abb8670679fd · outbound

This paper cites Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:09.736133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:28:09.736133Z digest=sha256:5e60263fa841d894d1ab90474a634b9fa7896a771b2cfb88427faeff3cd15108

Observation 97bc4164-2762-48b9-a6d4-7b021d2a933f · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Simplified State Space Layers for Sequence Modeling

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:09.741830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:28:09.741830Z digest=sha256:1fc1b46c7e6b332905973b611e1f12b6aac0afe3b67c24505143c22de5414050

Observation 644132fc-4e6d-44de-a2f6-7b17c6bc77bc · outbound

This paper cites Multi-resolution visual Mamba with multi-directional selective mechanism for retinal disease detection.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Multi-resolution visual Mamba with multi-directional selective mechanism for retinal disease detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:10.041312Z

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.

source=pdf_text observed=2026-08-16T11:28:09.746212Z digest=sha256:dbfc40c374e3a36f2bc6329ce466a9ec65c4a04ea7ca46a9ecb19a001168d501

Observation d12eab29-1ea4-44f3-bc37-738722b85939 · outbound

This paper cites A Hierarchical Feature-Aware Model for Accurate Tomato Blight Disease Spot Detec- tion: Unet with Vision Mamba and ConvNeXt Perspec- tive.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification A Hierarchical Feature-Aware Model for Accurate Tomato Blight Disease Spot Detec- tion: Unet with Vision Mamba and ConvNeXt Perspec- tive

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:10.026478Z

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.

source=pdf_text observed=2026-08-16T11:28:09.750469Z digest=sha256:85ce6e79293cbe59d82e0299b12c6d63af2bbe2c0e5404885df33dda403ca935

Observation bc3e0f34-aa9f-4ed1-99f6-bae2f728961e · outbound

This paper cites RS3Mamba: Visual State Space Model for Remote Sensing Image Semantic Segmentation.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification RS3Mamba: Visual State Space Model for Remote Sensing Image Semantic Segmentation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:10.010060Z

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.

source=pdf_text observed=2026-08-16T11:28:09.755404Z digest=sha256:59d36768783de0ba55cfd9bc83f0721afda05a1a835abe29c7cbbdbf459d1d14

Observation a1b78111-03ad-45a9-bb8e-e12fd07a4bc3 · outbound

This paper cites Spectral- Spatial Mamba for Hyperspectral Image Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Spectral- Spatial Mamba for Hyperspectral Image Classification

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:09.992605Z

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.

source=pdf_text observed=2026-08-16T11:28:09.759891Z digest=sha256:dc4a2a6d5bc6ff59fd73371af22aaa99f08a167566dd4d179705f20b82377317

Observation 4f6ebd7f-c70d-4226-a94d-e25f4b85b4aa · outbound

This paper cites 3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification 3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:09.976857Z

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.

source=pdf_text observed=2026-08-16T11:28:09.764251Z digest=sha256:da5508c9c0bb974ffba9138a2d6deb888f1b54605f0c305b67dd6b77204f535d

Observation caa9dd8b-6c42-4bb8-8ded-9a69c9b85882 · outbound

This paper cites Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral image classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral image classification

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:09.961792Z

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.

source=pdf_text observed=2026-08-16T11:28:09.768590Z digest=sha256:0b4ba0110f19ec215c69705e10cadb335014b7fd384f981c99f052272494b2e5

Observation 49d84670-6f64-4a13-97a0-582a27d487cc · outbound

This paper cites IGroupSS-Mamba: Interval Group Spa- tial–Spectral Mamba for Hyperspectral Image Classi- fication.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification IGroupSS-Mamba: Interval Group Spa- tial–Spectral Mamba for Hyperspectral Image Classi- fication

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:09.946197Z

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.

source=pdf_text observed=2026-08-16T11:28:09.773127Z digest=sha256:71ce64990fc0e2e757c0d6ff25121f03866f23497a8ca76b695d64e743b0bc86

Observation f991f9d5-05bb-4584-ab2b-adac691fdc45 · outbound

This paper cites Spectral–Spatial Morpho- logical Attention Transformer for Hyperspectral Image Classification.

HS-Mamba: Full-Field Interaction Multi-Groups Mamba for Hyperspectral Image Classification Spectral–Spatial Morpho- logical Attention Transformer for Hyperspectral Image Classification

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:09.929980Z

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.

source=pdf_text observed=2026-08-16T11:28:09.777856Z digest=sha256:175290281ab02b7873c3461cadbf852f288e0669099dd4728507b29bb00826b2

Pith citing papers

No inbound Pith citation observations are available.