Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:21:24.736885Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 2 inbound Pith citation observations for arXiv:2412.16817.
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 2026-08-11T10:21:24.736885Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:39:21.682250Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T05:35:10.097702Z
92 of 92 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f8ba771e-46ce-4f6e-a2a1-4434b77085e4 · outbound
A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Portillo-Juan, S
Reference 1
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Botero-Bol ´ ıvar, F
Reference 2
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Monfaredi, X
Reference 3
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Yangzhou, J
Reference 4
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Vernengo, L
Reference 5
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Gaggero, G
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Ewert, W
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Goody, Empirical spectral model of surface pressure fluc tuations, AIAA journal 42 (9) (2004) 1788–1794
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Rozenberg, G
Reference 12
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Kamruzzaman, D
Reference 14
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Mallik, R
Reference 17
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Allaire, F
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Osher, R
Reference 26
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Jiang, S
Reference 27
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Bhatnagar, Y
Reference 29
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Towne, O
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Zhang, C
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Mallik, D
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Adam: A Method for Stochastic Optimization
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Reference 80
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Reference 81
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Reference 84
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Reference 87
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Corcos, The structure of the turbulent pressure field in bo undary-layer flows, Journal of Fluid Mechanics 18 (3) (1964) 353–378
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Reference 89
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Reference 90
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A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization Coles, The law of the wake in the turbulent boundary layer, Jo urnal of Fluid Mechanics 1 (2) (1956) 191–226
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Reference 92
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Reference 34
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