Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 1 inbound Pith citation observation for arXiv:2603.12365.
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 2026-07-11T11:50:26.030339Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T19:46:55.458833Z
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 107 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9c9196b8-1a2c-4214-94ce-b87ccd0b225a · outbound
Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws Kirsch, An Introduction to the Mathematical Theory of Inverse Problems, volume 120 ofApplied Mathematical Sciences, 3 ed., Springer, Cham
Reference 1
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Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws Acta Numerica 19, 451– 559 (2010) https://doi.org/10.1017/S0962492910000061
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Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws Pukelsheim, Optimal Design of Experiments, volume 50 ofClassics in Applied Mathematics, Society for Industrial and Applied Mathematics
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Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws Alexanderian, Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: A review, Inverse Problems 37 (4) (2021) 043001
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Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws Ricciardi, D
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Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws Chamoin, C
Reference 25
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Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws An Estimate for the Perturbations of the So- lution of Ordinary Differential Equations (Russian)
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Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws A fast and scalable computational framework for large-scale high-dimensional Bayesian optimal experimental design
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Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws Englezou, T
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Reference 33
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Reference 35
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Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws Technometrics , volume =
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Reference 38
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Reference 46
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Reference 48
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Reference 50
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Reference 56
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Reference 57
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Reference 58
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Reference 63
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Reference 64
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Reference 68
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Reference 73
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Reference 75
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