Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:09:50.130422Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2507.19759.
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 2026-08-06T14:09:50.130422Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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
88 of 88 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , J \"a rvinen, E
Reference 1
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Matrosov, S Y
Reference 3
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , thebluedirt , Boyd, M
Reference 4
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery \ Hallett, J
Reference 5
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery \ Lawson, R P
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery APACrefauthors \ 1974 10
Reference 7
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery \ Francis, P N
Reference 9
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery The importance of silhouette optimization in 3D shape reconstruction system from multiple object scenes
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Morrison, H
Reference 12
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery \ Titterington, D M
Reference 13
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Field, P R
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Anthes, R A
Reference 15
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery \ Mitchell, D L
Reference 17
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Korfiatis, P
Reference 18
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Fallgatter, C
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery APACrefauthors \ 2018 03
Reference 21
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Oyallon, E
Reference 22
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery APACrefauthors \ 2012 09
Reference 26
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Reference 28
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , McMurdie, L A
Reference 29
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , McFarquhar, G M
Reference 31
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Jourdan, O
Reference 32
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Harrington, J Y
Reference 33
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Pfister, L
Reference 34
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Reference 36
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Huang, G J
Reference 38
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Singer, C E
Reference 39
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery APACrefauthors \ 1994 02
Reference 40
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Reference 42
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Reference 43
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , Fontaine, E
Reference 48
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Reference 49
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Reference 50
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery Understanding Random Forests: From Theory to Practice
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Reference 53
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery , W., Timothy A
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Reference 55
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Reference 57
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Reference 58
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Reference 60
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Reference 61
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Reference 62
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Reference 63
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Reference 65
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Reference 66
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Reference 67
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Reference 70
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Reference 71
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Reference 72
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Reference 76
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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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Reference 82
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Reference 84
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A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery \ Midgley, P A
Reference 85
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Observation e08a25f7-cb43-4d5c-b80e-8c6c6d09b1dd · outbound
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Reference 88
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