Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T20:31:07.789506Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2606.07215.
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 2026-06-27T20:31:07.789506Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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
45 of 45 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Unresolved cited work
Reference 1
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Unresolved cited work
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Ladubec, R
Reference 3
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration P´ artl, E
Reference 4
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Hatefi Ardakani, R
Reference 5
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Akin, Mathematical modeling of steam-assisted gravity drainage, Computers & Geosciences 32 (2) (2006) 240–246
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Parchei-Esfahani, B
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration ˇSpetl´ ık, J
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Unresolved cited work
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Hajisharifi, R
Reference 13
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Conti, M
Reference 14
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Reference 15
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Unresolved cited work
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Thuerey, K
Reference 17
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Maulik, B
Reference 18
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Unresolved cited work
Reference 19
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Unresolved cited work
Reference 20
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Geneva, N
Reference 21
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Nguyen, R
Reference 22
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Hadizadeh, W
Reference 23
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Neural Operator: Graph Kernel Network for Partial Differential Equations
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Reference 25
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Reference 26
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Zhong, A
Reference 27
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Reference 28
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Badawi, E
Reference 29
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Reference 30
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Zingaro, S
Reference 31
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Reference 32
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Unresolved cited work
Reference 33
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A Comparative Study of Deep Learning Models for Geological Carbon Sequestration Rich feature hierarchies for accurate object detection and semantic segmentation
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Reference 44
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Reference 45
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