Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:02:05.551523Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2608.06190.
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 2026-08-07T13:02:05.551523Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
64 of 64 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1e3d6c96-8333-4a9d-add8-42ddb150abc1 · outbound
Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations 1998 , publisher =
Reference 1
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Computer Methods in Applied Mechanics and Engineering , volume=
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Journal of Computational Physics , volume=
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations The Fokker-Planck equation: methods of solution and applications , pages =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Journal of statistical physics , volume =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations The annals of mathematical statistics , pages =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations 2003 , publisher =
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Reference 10
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Physica D , volume =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Advances in neural information processing systems , volume=
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Advances in neural information processing systems , volume=
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Observation d140f268-58c9-45f0-a680-493e6ea28940 · outbound
Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Advances in Neural Information Processing Systems , volume =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Stochastic Processes and their Applications , volume=
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations IEEE transactions on pattern analysis and machine intelligence , volume=
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Journal of Machine Learning Research , volume=
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 18
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Observation f5482bed-5620-43ab-b77e-42fbc5cda1c0 · outbound
Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Journal of Computational Physics , volume =
Reference 19
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Nature Machine Intelligence , volume =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Fourier Neural Operator for Parametric Partial Differential Equations
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Machine Learning , year =
Reference 22
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Observation acebc6d8-4aae-41dd-923e-fe5732ef3643 · outbound
Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Learning Representations , year =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Advances in Neural Information Processing Systems , volume =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Learning Representations , year =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Statistics and Computing , volume =
Reference 27
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Learning Representations , year =
Reference 29
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Advances in Neural Information Processing Systems , volume =
Reference 30
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Observation 71a7f927-7a11-4e52-99de-3db48fb8db42 · outbound
Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Monthly Weather Review , volume =
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Observation f03fc9bd-38a9-456e-8a3c-b1f0dc492b3d · outbound
Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Harmonic Analysis of Operators on
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Unresolved cited work
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Physical Review , volume =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations , journal =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations 2009 , publisher=
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Biometrika , volume=
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Reference 39
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations SIAM Review , volume =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations 2008 , publisher=
Reference 41
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations The Annals of Mathematical Statistics , pages=
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations On Erlang ODE approximations of differential equations with distributed time delays
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations The condition number of real
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations International Conference on Learning Representations , year =
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations and Tartakovsky, Daniel M
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Texts in applied mathematics , volume=
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Ai , volume=
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations and Tartakovsky, Daniel M
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Observation d26c1fbe-8c14-42e9-9ec9-eec262daef00 · outbound
Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations Proceedings of the National Academy of Sciences , volume=
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Characteristic Sensitivity Ensembles for Inference of Hidden Dynamics from Marginal Observations 2004 , publisher=
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Reference 64
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No inbound Pith citation observations are available.