Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T13:33:22.052861Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2605.28331.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T13:33:22.052861Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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
37 of 37 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 57e5e49c-debe-4ba2-ab5d-097765d24efd · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Proceedings of the IEEE conference on computer vision and pattern recognition
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Observation dbc30355-7ab8-451b-a445-aed57c7a33a2 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 2
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Observation bde87d2a-e678-48b0-8bcd-4d5aa6426c1f · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: 2009 IEEE conference on computer vision and pattern recognition
Reference 3
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Observation d1d5da4f-60c3-4e30-96aa-2576b0f9eeae · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions Advances in neural information processing systems27(2014)
Reference 4
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Observation 4b3e6bc2-c177-443a-9a04-07176561fd0f · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
Reference 5
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Observation 0e53b068-6e1c-4636-afbd-71cfb05490e1 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions Unresolved cited work
Reference 6
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Observation 33ccb632-1011-44f4-814d-f5c7ac814a5c · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Proceedings of the IEEE conference on computer vision and pattern recognition
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Observation 868b058e-eadd-4385-b077-8d7a6ca44b70 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions ICLR1(2), 3 (2022)
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Observation 80332296-c034-4502-9fe8-c6756f41313b · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Proceedings of the IEEE conference on computer vision and pattern recognition
Reference 9
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Observation 70d7a0c4-7389-4291-8cf4-e1ee335162d2 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Proceedings of the IEEE conference on computer vision and pattern recognition
Reference 10
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Observation ff9f81a9-81b8-442c-82e3-20ee83ef5e01 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Proceedings of the British Machine Vision Conference 2014
Reference 11
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Observation 3e471cb6-26bf-483b-9feb-50fef858b157 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Reference 12
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Observation a162d8ca-5873-4a7a-b794-0c7fe92035bd · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions SIAM review 51(3), 455–500 (2009)
Reference 13
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Observation b3397290-8219-4b3e-8d45-c025098d0ffe · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions Journal of Machine Learning Research20(26), 1–6 (2019)
Reference 14
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Observation ce355f9b-2f1c-4a36-a9bc-04b8ac0db550 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions One weird trick for parallelizing convolutional neural networks
Reference 15
Source-reported events for the cited work
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Observation 08966efd-659d-4a2b-a3e6-38dc4ef75ce0 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 16
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Observation a95a5156-9f13-488d-a1f6-01bdd772c666 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: 3rd Inter- national Conference on Learning Representations, ICLR 2015-Conference Track Proceedings (2015)
Reference 17
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Observation 5a6032f1-7a18-4409-af28-f6f222587cda · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions Journal of biomedical optics19(1), 010901–010901 (2014)
Reference 18
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Observation 4eb0c558-84a8-4e21-86a1-1a4e8c98a85b · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions Postharvest Biology and Technology170, 111318 (2020)
Reference 19
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Observation 79a8cfd1-ea9b-47d4-a50d-caf426bda3df · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Proceedings of the 18th ACM international conference on Multimedia
Reference 20
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Unavailable: canonical work link unavailable.
Observation 914bd081-4c98-4db7-ba6a-b9d7870506ce · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions Proceedings of the IEEE109(5), 863–890 (2021)
Reference 21
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Unavailable: canonical work link unavailable.
Observation 5be8c4c4-0f82-4aed-ac7e-72ead451d0ef · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: European Conference on Com- puter Vision
Reference 22
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Observation 871118ab-7191-49ea-9eff-9398d7e02c99 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Pro- ceedings of the IEEE conference on computer vision and pattern recognition
Reference 23
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Observation e5e20620-4183-49aa-bfd4-167fb26d8899 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions Scientific Data 10(1), 743 (2023)
Reference 24
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Observation 287b138a-f94f-4929-8114-c2e5e2884291 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions IEEE transactions on neural networks and learning systems26(5), 1019–1034 (2014)
Reference 25
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Observation 4c9945d2-772f-4d4a-9864-1a152dcd5639 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions MIT Press (2024)
Reference 26
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Observation 14a59b72-6373-4c11-8e21-d769c50ed865 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: 6th International Conference on Optical Character- ization of Materials, OCM
Reference 27
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Observation 97497798-a3c8-4830-8ab4-c238bc9b6187 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: 2021 International Joint Conference on Neural Networks (IJCNN)
Reference 28
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Observation 7bd9e9b5-84a3-498d-a6fa-30a0c95c4333 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Proceedings of the IEEE/CVF Winter Con- ference on Applications of Computer Vision
Reference 29
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Observation 2eaf94e4-3ed6-475c-b957-abbb94a50516 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions IEEE Transactions on Geoscience and Remote Sensing61, 1–20 (2022)
Reference 30
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Observation a0c7cc83-e541-4d8d-b5e9-bc1458956ca1 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions IEEE Transactions on Geoscience and Remote Sensing56(5), 2798–2810 (2018)
Reference 31
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Observation fbd09e82-a08a-40b9-ba42-51b9e25bad4c · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Proceedings of the European conference on computer vision (ECCV)
Reference 32
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Observation e961ab80-7fce-4dc3-8d53-c93340848d6a · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions The Twelfth International Conference on Learning Representations (2024)
Reference 33
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Observation 64ff40d6-c61d-49f8-b23c-eaa14d1de621 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 34
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Observation ee9187eb-b022-4a9b-a89a-0023039c427a · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions In: European conference on computer vision
Reference 35
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Observation 365caea4-4edb-47a3-9bc9-36889ba19ca8 · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions IEEE Transactions on Geoscience and Remote Sensing57(8), 5813–5828 (2019)
Reference 36
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Observation cced848e-c348-4610-b7f0-37838e2082be · outbound
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions Unresolved cited work
Reference 37
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No inbound Pith citation observations are available.