Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:25:33.782992Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2412.01591.
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 2026-08-12T04:25:33.782992Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T12:42:40.577718Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T06:17:42.550200Z
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d65b76a7-5432-44c0-9f11-70012ff26b39 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Adams and John J
Reference 1
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Observation 123d8330-39f5-49e9-8e79-3eb0b9c57d68 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Stochastic differential equations: theory and applications, volume 2
Reference 2
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Observation 7862e2f2-39d0-47db-ab3d-c8ec1dc3dc91 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Beard, George N Saridis, and John T Wen
Reference 3
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Observation 27aa4c84-8b30-488c-a344-612b36d97d70 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Data–driven Learning of Nonlinear Dynamic Systems: A Deep Neural State–Space Approach
Reference 4
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Observation 8b3a4a94-ee66-4fe0-a820-8dd01cc4d2e3 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Koopman operator dynamical models: Learning, analysis and control
Reference 5
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Koopman Kernel Regression
Reference 6
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Nonparametric Control Koopman Operators
Reference 7
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Hoischen, Stefan Sosnowski, Sandra Hirche, and Boris Houska
Reference 8
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Reference 9
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Unresolved cited work
Reference 10
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Observation 18e604ab-d019-407c-835d-f3f2dc7780f5 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Bogachev, Nikolai V
Reference 11
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Observation e8e4f359-22b3-48e1-9e5f-67da8eee986d · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Data-driven control of soft robots using koopman operator theory
Reference 12
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Observation 004ebf6e-2f2d-455e-bfe4-f4a9382785b2 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Brunton, Marko Budi s i\' c , Eurika Kaiser, and J
Reference 13
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Observation f43fb901-062a-427c-a599-30a24f8a2f4b · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Controlled density transport using Perron Frobenius generators
Reference 14
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Crandall, Hitoshi Ishii, and Pierre-Louis Lions
Reference 15
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Schlöder, Rolf Findeisen, Zoltan Nagy, and Frank Allgöwer
Reference 16
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Observation 54f60f14-ea2f-42ee-a385-924cdc1d0268 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach One-Parameter Semigroups for linear evolution equations
Reference 17
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Fleming and Domokos Vermes
Reference 18
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Detecting the birth and death of finite-time coherent sets
Reference 19
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Solving Chance-Constrained Optimization Under Nonparametric Uncertainty Through Hilbert Space Embedding
Reference 20
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Optimization with PDE Constraints
Reference 21
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Sparse learning of dynamical systems in RKHS: An operator-theoretic approach
Reference 22
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Convex operator-theoretic methods in stochastic control
Reference 23
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Branch-and-lift algorithm for deterministic global optimization in nonlinear optimal control
Reference 24
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Global optimization in H ilbert space
Reference 25
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Observation 76d4c0de-85f1-47fb-838a-6615eb370538 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach An auto-generated real-time iteration algorithm for nonlinear mpc in the microsecond range
Reference 26
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Observation 80693cce-2c1d-4da8-82cc-b2c36c42d97d · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Altro: A fast solver for constrained trajectory optimization
Reference 27
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Observation 24729fac-2ffa-4824-b1b9-3d0690315db8 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Dojo: A Differentiable Physics Engine for Robotics
Reference 28
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Observation d36ee0aa-2c26-4ee0-b9e3-f6376424e984 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach On the numerical approximation of the perron-frobenius and koopman operator
Reference 29
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach u ske, Sebastian Peitz, Jan-Hendrik Niemann, Cecilia Clementi, and Christof Sch \
Reference 30
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Kosti\' c , Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, and Massimiliano Pontil
Reference 31
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Observation 9be68094-1d8e-49a1-8a20-8d9d779eb578 · outbound
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Kosti\' c , Karim Lounici, Pietro Novelli, and Massimiliano Pontil
Reference 32
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Reference 34
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Optimal rates for regularized conditional mean embedding learning
Reference 35
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach System Identification: Theory for the User
Reference 36
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach HJB optimal feedback control with deep differential value functions and action constraints
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Data-efficient reinforcement learning in continuous state-action gaussian-pomdps
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Physics-informed neural network policy iteration: Algorithms, convergence, and verification
Reference 39
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Comparison of systems with complex behavior
Reference 41
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Reference 49
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Learning stable gaussian process state space models
Reference 50
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Reference 52
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Reference 53
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Kernel-Based Optimal Control: An Infinitesimal Generator Approach Zavala and Lorenz T
Reference 55
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