Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T09:15:55.184521Z
Paper Citation Record · LEDGER
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification
As of 12 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2604.15828.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
- verified exact3
- verified fuzzy41
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ec7d5fbb-1eb9-4914-9347-251582d74d97 · outbound
This paper cites an unresolved cited work.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T17:43:49.338943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3d89663f-4e87-4302-bd0d-74ef0d48bd72 · outbound
This paper cites Partial least squares for discrimination.Journal of Chemometrics, 17(3):166– 173.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Partial least squares for discrimination.Journal of Chemometrics, 17(3):166– 173
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.322228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d36d05f5-5023-46bf-82ec-7f2c20f681b3 · outbound
This paper cites Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, and Xiao Xiang Zhu.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, and Xiao Xiang Zhu
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.336226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5506f54c-10a9-4198-a5a5-4726b30e5864 · outbound
This paper cites Spectralnet: Ex- ploring spatial-spectral waveletcnn for hyperspectral image classification.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Spectralnet: Ex- ploring spatial-spectral waveletcnn for hyperspectral image classification
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.327566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation aaf59800-82f8-4f9c-be72-d93ade88c58c · outbound
This paper cites A lightweight spectral–spatial feature extraction and fusion network for hyperspectral image classification.Remote Sensing, 12(9): 1395.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification A lightweight spectral–spatial feature extraction and fusion network for hyperspectral image classification.Remote Sensing, 12(9): 1395
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.324962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 541c628f-d8a3-43ac-9baa-ff9096bfd8da · outbound
This paper cites Greenhyperspectra: A multi-source hyper- spectral dataset for global vegetation trait prediction.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Greenhyperspectra: A multi-source hyper- spectral dataset for global vegetation trait prediction
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:18:31.448118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7e436539-f728-43a1-9956-d5c4108ae422 · outbound
This paper cites Cam- bridge University Press, Cambridge.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Cam- bridge University Press, Cambridge
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.333071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c26242f7-645c-46d2-995c-4a1680b6c1ea · outbound
This paper cites an unresolved cited work.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T17:43:49.319718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1e4cb3d7-42ca-48c5-b864-62c8c266eca5 · outbound
This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification An image is worth 16x16 words: Trans- formers for image recognition at scale
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.329999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 28e8bf2d-c117-425f-b56d-e9c7127f21e3 · outbound
This paper cites Plg- vit: Vision transformer with parallel local and global self- attention.Sensors.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Plg- vit: Vision transformer with parallel local and global self- attention.Sensors
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.316616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a45eb727-b51f-440d-a70c-7ca0d6f0c597 · outbound
This paper cites En- hancing robustness and generalization in microbiological few-shot detection through synthetic data generation and contrastive learning.Computers in Biology and Medicine.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification En- hancing robustness and generalization in microbiological few-shot detection through synthetic data generation and contrastive learning.Computers in Biology and Medicine
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.427615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4ca6fa22-3178-4138-a5db-8bac0fe26067 · outbound
This paper cites 3d residual spatial–spectral convolution network for hyperspec- tral remote sensing image classification.Neural Computing and Applications, 35(6):4479–4497.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification 3d residual spatial–spectral convolution network for hyperspec- tral remote sensing image classification.Neural Computing and Applications, 35(6):4479–4497
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.430193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e52bc347-2a31-40b3-803c-b2d66d999974 · outbound
This paper cites Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and Pretraining.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and Pretraining
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:18:31.437633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 72e9e293-25a7-4125-84a9-e26b3a4e99e9 · outbound
This paper cites Agricultural plant hyperspectral imaging dataset.Computer Optics, 47 (3):442–450.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Agricultural plant hyperspectral imaging dataset.Computer Optics, 47 (3):442–450
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.433083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fe2bcca2-f5ac-4da7-9c7d-fb5f1d09e0ca · outbound
This paper cites An exten- sive review of hyperspectral image classification and predic- tion: techniques and challenges.Multimedia Tools and Ap- plications, 83(34):80941–81038.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification An exten- sive review of hyperspectral image classification and predic- tion: techniques and challenges.Multimedia Tools and Ap- plications, 83(34):80941–81038
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.435641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 63fa2ec2-b460-422e-aa7b-20340b95cc30 · outbound
This paper cites an unresolved cited work.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T17:43:49.437879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8c6dbe8a-7287-40d9-8ef1-6309e43f2196 · outbound
This paper cites Gra ˜na, M.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Gra ˜na, M
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.442608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d4150804-6547-4a5e-8551-fb2c5d9ca3be · outbound
This paper cites Accessed: 2026-02-20.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Accessed: 2026-02-20
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.447421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fcad8012-1033-41b7-a7f8-f272d508ed3d · outbound
This paper cites Hyperspectral image classification with attention-aided cnns.IEEE Transactions on Geoscience and Remote Sensing, 59(3):2281–2293.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Hyperspectral image classification with attention-aided cnns.IEEE Transactions on Geoscience and Remote Sensing, 59(3):2281–2293
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.413457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 63f3fc0d-3042-40d5-978a-0114d3c1e345 · outbound
This paper cites an unresolved cited work.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T17:43:49.408623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ebc631ca-78d5-47bf-990b-6520fb1e8285 · outbound
This paper cites Deep residual learning for image recognition.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Deep residual learning for image recognition
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.405391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c1b32020-e452-48c5-8949-9d4a0a419b66 · outbound
This paper cites Multi-scale 3d deep convolutional neural network for hyperspectral image classi- fication.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Multi-scale 3d deep convolutional neural network for hyperspectral image classi- fication
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.410981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e0de7674-ec02-4cf6-bdd4-5f07970fdbf0 · outbound
This paper cites Spectralformer: Rethinking hyper- spectral image classification with transformers.IEEE Trans- actions on Geoscience and Remote Sensing, 60:1–15.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Spectralformer: Rethinking hyper- spectral image classification with transformers.IEEE Trans- actions on Geoscience and Remote Sensing, 60:1–15
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.419011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1c2c8799-2c39-4897-979c-848e13560591 · outbound
This paper cites A survey: Deep learning for hyperspectral im- age classification with few labeled samples.Neurocomput- ing, 448:179–204.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification A survey: Deep learning for hyperspectral im- age classification with few labeled samples.Neurocomput- ing, 448:179–204
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.400106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 678d8993-ea6c-4de0-be12-5a99b6a38a05 · outbound
This paper cites A hyperspectral data 3d convolutional neural network classification model for diagnosis of gray mold disease in strawberry leaves.Frontiers in Plant Sci- ence, 13:837020.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification A hyperspectral data 3d convolutional neural network classification model for diagnosis of gray mold disease in strawberry leaves.Frontiers in Plant Sci- ence, 13:837020
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.402994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 21a9214e-ce71-4042-9c58-3de2016b272a · outbound
This paper cites Khonina et al.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Khonina et al
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.394388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 58c38441-75b1-4824-a15a-493239cb206d · outbound
This paper cites Deep learning for hyperspectral image classi- fication: A survey.Computer Science Review, 53:100658.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Deep learning for hyperspectral image classi- fication: A survey.Computer Science Review, 53:100658
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.341459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 84395086-d78c-480b-a730-5f370b18fcce · outbound
This paper cites Hierarchical multi-scale convolutional neural networks for hyperspectral image clas- sification.Sensors, 19(7):1714.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Hierarchical multi-scale convolutional neural networks for hyperspectral image clas- sification.Sensors, 19(7):1714
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.397438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f6ea5b1c-b4d3-4caf-9bfb-68b853ceef93 · outbound
This paper cites Data aug- mentation for hyperspectral image classification with deep CNN.IEEE Geoscience and Remote Sensing Letters, 16(4): 593–597.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Data aug- mentation for hyperspectral image classification with deep CNN.IEEE Geoscience and Remote Sensing Letters, 16(4): 593–597
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.416268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3370a1d0-5124-4c08-86b6-85cef5f74008 · outbound
This paper cites Spectral–spatial classification of hyperspectral imagery with 3d convolutional neural network.Remote Sensing, 9(1):67.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Spectral–spatial classification of hyperspectral imagery with 3d convolutional neural network.Remote Sensing, 9(1):67
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.421868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 890e9d56-977c-4555-979d-0f957951b1fa · outbound
This paper cites A spectral– spatial fusion transformer network for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 61:1–16.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification A spectral– spatial fusion transformer network for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 61:1–16
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.450346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 81730c8b-48c2-45f7-a8ae-a27fa31d526a · outbound
This paper cites Deeply-supervised pseudo learning with small class- imbalanced samples for hyperspectral image classification.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Deeply-supervised pseudo learning with small class- imbalanced samples for hyperspectral image classification
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.391658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation eeafea44-a85a-438d-ba7f-6e5f4b9b3cb2 · outbound
This paper cites Hyperspectral Data Augmentation.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Hyperspectral Data Augmentation
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T23:28:07.902748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8b0d61ce-16df-4aca-aa93-37f6c60ec217 · outbound
This paper cites Genformer–generated im- ages are all you need to improve robustness of transformers on small datasets.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Genformer–generated im- ages are all you need to improve robustness of transformers on small datasets
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.378011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f3c4ee80-56aa-4e0c-a773-02860bf8a3a8 · outbound
This paper cites an unresolved cited work.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T17:43:49.380972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9ec392b8-1ff3-4762-a4c8-39212a881f19 · outbound
This paper cites Haut, Javier Plaza, and Antonio Plaza.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Haut, Javier Plaza, and Antonio Plaza
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.383312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0c1e6564-9884-4741-ada1-5b0aa99e919c · outbound
This paper cites Paoletti, Juan M.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Paoletti, Juan M
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.369137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation db997265-d8b0-453d-8d3e-e4559f61eb69 · outbound
This paper cites One-dimensional convolutional neural networks for hyperspectral analysis of nitrogen in plant leaves.Applied Sciences, 11(24):11853.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification One-dimensional convolutional neural networks for hyperspectral analysis of nitrogen in plant leaves.Applied Sciences, 11(24):11853
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.424553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4bb120e3-3506-4a6a-8b69-26958bf6cc39 · outbound
This paper cites Hyperspectral band se- lection using attention-based convolutional neural networks.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Hyperspectral band se- lection using attention-based convolutional neural networks
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.444982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0ffa16ba-44ef-403a-9ee4-0c44109566ea · outbound
This paper cites Hybridsn: Exploring 3-d–2-d cnn feature hierarchy for hyperspectral image classification.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Hybridsn: Exploring 3-d–2-d cnn feature hierarchy for hyperspectral image classification
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.364443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2aaf0f66-8ef9-4fff-8165-d9dde523cabb · outbound
This paper cites Rumelhart, Geoffrey E.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Rumelhart, Geoffrey E
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.366732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 89751e6c-9e2a-4145-93d4-b6150d382c45 · outbound
This paper cites Deep learning meets hyperspectral image anal- ysis: A multidisciplinary review.Journal of Imaging, 7(6): 109.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Deep learning meets hyperspectral image anal- ysis: A multidisciplinary review.Journal of Imaging, 7(6): 109
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.372513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 285318fa-3247-473e-8dee-ef04f3b6d452 · outbound
This paper cites Massformer: Memory-augmented spectral- spatial transformer for hyperspectral image classification.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Massformer: Memory-augmented spectral- spatial transformer for hyperspectral image classification
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.375219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 625de8d2-d369-44c3-8896-fae143d7b8c4 · outbound
This paper cites Visualizing data using t-sne.Journal of Machine Learning Research, 9 (86):2579–2605.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Visualizing data using t-sne.Journal of Machine Learning Research, 9 (86):2579–2605
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.388494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 996bdca4-2b98-46a6-86ec-74cc1a93c00e · outbound
This paper cites an unresolved cited work.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T17:43:49.440213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0ba2f886-544c-420e-b1ce-1e99ba4ac81e · outbound
This paper cites Self-supervised pretraining for hyperspectral classification of fruit ripeness.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Self-supervised pretraining for hyperspectral classification of fruit ripeness
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.349924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c2a916af-f552-4de2-833c-083535c81162 · outbound
This paper cites an unresolved cited work.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T17:43:49.352819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 48cbee1c-0144-4b7f-b92e-672ad8d90600 · outbound
This paper cites an unresolved cited work.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T17:43:49.355695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 853d567e-47d5-450d-be47-01d316bc9cae · outbound
This paper cites an unresolved cited work.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T17:43:49.385725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b18f8396-ef13-4251-9b58-f06e1b6ca714 · outbound
This paper cites Spectral data classification by one- dimensional convolutional neural networks.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Spectral data classification by one- dimensional convolutional neural networks
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.344071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d50b4166-411f-4799-b039-bd54571c625d · outbound
This paper cites Hyperspectral image classification us- ing mixed convolutions and covariance pooling.IEEE Trans- actions on Geoscience and Remote Sensing, 59(1):522–534.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Hyperspectral image classification us- ing mixed convolutions and covariance pooling.IEEE Trans- actions on Geoscience and Remote Sensing, 59(1):522–534
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.347207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e67621ac-d54c-4513-829b-13ae2538ebbb · outbound
This paper cites Hyperspectral image classification with imbalanced data based on a new data augmentation method.Applied Sciences, 12(8):3943.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification Hyperspectral image classification with imbalanced data based on a new data augmentation method.Applied Sciences, 12(8):3943
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.358780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e4897504-d70a-4125-9ed9-e2132fc4fbd4 · outbound
This paper cites An enhanced spectral fusion 3d cnn model for hyperspectral image classification.Remote Sensing, 14 (21):5334.
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification An enhanced spectral fusion 3d cnn model for hyperspectral image classification.Remote Sensing, 14 (21):5334
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T17:43:49.361361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.