Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T12:55:20.750796Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2607.19305.
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 2026-08-01T12:55:20.750796Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
100 of 300 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Riemannian Deep Learning: Modules, Networks, and Geometries ICCV , year =
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Riemannian Deep Learning: Modules, Networks, and Geometries ICCV , year =
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Riemannian Deep Learning: Modules, Networks, and Geometries Training Deep Networks with Structured Layers by Matrix Backpropagation
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Riemannian Deep Learning: Modules, Networks, and Geometries 2007 , publisher=
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Riemannian Deep Learning: Modules, Networks, and Geometries Unresolved cited work
Reference 13
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Riemannian Deep Learning: Modules, Networks, and Geometries General theorems on the convergence of sequences of Pad
Reference 14
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Observation 739c74f8-4784-406e-8dc2-e73b9b18cf23 · outbound
Riemannian Deep Learning: Modules, Networks, and Geometries An Overview , author=
Reference 15
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Observation 6bd80af8-7cd3-44a0-8b5a-e4733ca61eb0 · outbound
Riemannian Deep Learning: Modules, Networks, and Geometries ICCV , year =
Reference 16
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Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
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Observation 0b651cb8-4875-4a21-a83e-6a1310826f32 · outbound
Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
Reference 18
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Observation 7f56d33d-3f67-48ea-8b64-ef6200c92f68 · outbound
Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
Reference 19
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Observation 01384c7b-4eb4-48ff-9af7-1eec77f3485a · outbound
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Reference 20
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Riemannian Deep Learning: Modules, Networks, and Geometries Dang and K
Reference 21
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Riemannian Deep Learning: Modules, Networks, and Geometries Dang and K.M
Reference 22
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Riemannian Deep Learning: Modules, Networks, and Geometries IEEE TPAMI , year =
Reference 23
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Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
Reference 24
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Observation 33c1927d-c73e-445e-9d62-977c8198b6e3 · outbound
Riemannian Deep Learning: Modules, Networks, and Geometries ICCV , year =
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Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
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Riemannian Deep Learning: Modules, Networks, and Geometries ECCV , year =
Reference 27
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Observation 8b3bafa7-a5d7-4369-b114-a977af060820 · outbound
Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
Reference 28
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Observation ac78b6b0-a68e-4cec-ad7d-6738e7f986ca · outbound
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Reference 29
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Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
Reference 30
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Reference 31
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Riemannian Deep Learning: Modules, Networks, and Geometries Fine-Grained Visual Classification of Aircraft
Reference 32
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Reference 33
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Riemannian Deep Learning: Modules, Networks, and Geometries Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 34
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Reference 35
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Riemannian Deep Learning: Modules, Networks, and Geometries 2003 , publisher=
Reference 36
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Riemannian Deep Learning: Modules, Networks, and Geometries ICCV , year =
Reference 37
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Observation 8e39c893-e1a7-46af-889e-d079f9a7f529 · outbound
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Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
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Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
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Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
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Reference 44
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Riemannian Deep Learning: Modules, Networks, and Geometries ECCV , year =
Reference 45
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Reference 47
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Reference 48
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Reference 49
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Riemannian Deep Learning: Modules, Networks, and Geometries ICCV , year =
Reference 51
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Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
Reference 52
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Reference 53
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Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
Reference 58
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Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
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Reference 63
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Reference 64
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Reference 65
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Observation a262d32c-6303-46d8-ac89-a358d4e3dbaa · outbound
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Reference 66
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Reference 67
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Reference 68
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Reference 69
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Reference 70
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Reference 78
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Reference 79
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Reference 80
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Reference 81
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Riemannian Deep Learning: Modules, Networks, and Geometries CVPR , year =
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Reference 85
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Reference 86
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Reference 87
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Reference 88
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Reference 90
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Reference 91
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Reference 92
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Reference 93
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Reference 94
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No inbound Pith citation observations are available.