Paper Citation Record · LEDGER

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2608.09404.

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pith.paper-citation-record.v1
2608.09404 v1

Coverage vector

measured 37 of 37 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 0996cfaa-9c95-4340-9e6e-5dbd6893595c · outbound

This paper cites Neural ordinary differential equations,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Neural ordinary differential equations,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.668520Z

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Observation 75e0789f-b8f9-43fb-9ccd-3dda0917a456 · outbound

This paper cites Augmented neural ODEs,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Augmented neural ODEs,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.661411Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 165db817-7ec6-47bb-b135-b843eee27417 · outbound

This paper cites Latent ordinary differential equations for irregularly-sampled time series,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Latent ordinary differential equations for irregularly-sampled time series,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.654017Z

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Observation 27b40652-cefd-4ccf-b1f7-6ed8a0df4c45 · outbound

This paper cites Neural controlled differential equations for irregular time series,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Neural controlled differential equations for irregular time series,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.646416Z

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Observation a2c7320f-1a9c-411b-8c56-c4bd374848bd · outbound

This paper cites Universal Differential Equations for Scientific Machine Learning.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Universal Differential Equations for Scientific Machine Learning

Reference 5

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Observation 39611f19-6929-453a-93e9-12e263b2a49f · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T18:01:23.140643Z

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Observation d5c13f08-7a60-4be7-8461-123088b5efe3 · outbound

This paper cites Physics-informed machine learning,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Physics-informed machine learning,

Reference 7

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Observation b477a6ef-4d81-4a8d-967f-d504c261a280 · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Discovering governing equations from data by sparse identification of nonlinear dynamical systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.627142Z

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Observation d5d6efb0-9742-4249-aa19-5cb7d7c9d170 · outbound

This paper cites Data-driven discovery of partial differential equations,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Data-driven discovery of partial differential equations,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.619431Z

Source-reported events for the cited work

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Observation e0f38138-aa5c-4e77-b8cf-29219518199b · outbound

This paper cites Deep learning for universal linear embeddings of nonlinear dynamics,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Deep learning for universal linear embeddings of nonlinear dynamics,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.610566Z

Source-reported events for the cited work

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Observation 4f02641a-fa16-40e7-b5fe-28779732f882 · outbound

This paper cites Linearly recurrent autoencoder networks for learning dynamics,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Linearly recurrent autoencoder networks for learning dynamics,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.603078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 982645d8-8aad-45e4-a29d-59762d932c48 · outbound

This paper cites Learning Koopman invariant subspaces for dynamic mode decomposition,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Learning Koopman invariant subspaces for dynamic mode decomposition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.595617Z

Source-reported events for the cited work

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Observation b73d2f92-9b0c-4639-bb59-bb505dd89624 · outbound

This paper cites Hamiltonian neural net- works,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Hamiltonian neural net- works,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.587912Z

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Observation f377fade-a085-4cf4-8689-96652bc9b8d5 · outbound

This paper cites Lagrangian neural networks,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Lagrangian neural networks,

Reference 14

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Observation a2bae047-5df3-4457-9b25-6537ac393fde · outbound

This paper cites On contraction analysis for non-linear systems,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs On contraction analysis for non-linear systems,

Reference 15

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Observation cc4e263d-efc2-4fee-aa9f-f7c26eef8f39 · outbound

This paper cites A differential Lyapunov framework for contraction analysis,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs A differential Lyapunov framework for contraction analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.569047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48641109-b5c5-4bd8-82e2-6023f5982e6a · outbound

This paper cites Control contraction metrics: Convex and intrinsic criteria for nonlinear feedback design,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Control contraction metrics: Convex and intrinsic criteria for nonlinear feedback design,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.561501Z

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Observation ea06ec53-ed97-418b-bd2f-2fa8dca4ba02 · outbound

This paper cites A Lyapunov approach to incremental stability properties,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs A Lyapunov approach to incremental stability properties,

Reference 18

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Observation c376bfe9-c9b3-42af-aed1-459e57dd384e · outbound

This paper cites Smooth stabilization implies coprime factorization,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Smooth stabilization implies coprime factorization,

Reference 19

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Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Unresolved cited work

Reference 20

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Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Unresolved cited work

Reference 21

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Observation 38bad213-bef8-422d-ba84-7c0a74150442 · outbound

This paper cites Ljung,System Identification: Theory for the User, 2nd ed.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Ljung,System Identification: Theory for the User, 2nd ed

Reference 22

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Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Unresolved cited work

Reference 23

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Observation d6256bf9-9f41-4c79-bf11-48f4f931f201 · outbound

This paper cites Stable architectures for deep neural net- works,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Stable architectures for deep neural net- works,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.524329Z

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Observation 7991a3e7-743d-4380-8b2b-67fbcc17d45f · outbound

This paper cites Stable recurrent models,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Stable recurrent models,

Reference 25

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Observation 9aa243a3-2342-4be9-b48e-1b39b759b88c · outbound

This paper cites Lipschitz Bounded Equilibrium Networks.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Lipschitz Bounded Equilibrium Networks

Reference 26

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Source-reported events for the cited work

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Observation 2bb0ef6f-d715-4756-81c7-b3baa7cefc3b · outbound

This paper cites The Lyapunov neural network: Adaptive stability certification for safe learning of dynamical systems,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs The Lyapunov neural network: Adaptive stability certification for safe learning of dynamical systems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.509440Z

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Observation b4f558aa-4d09-434a-9f9b-2b93fd04cecc · outbound

This paper cites Safe control with learned certificates: A survey of neural Lyapunov, barrier, and contraction methods for robotics and control,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Safe control with learned certificates: A survey of neural Lyapunov, barrier, and contraction methods for robotics and control,

Reference 28

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Observation bb52ca03-8f14-48ad-8222-ce8ab69c4f3f · outbound

This paper cites Control barrier function based quadratic programs for safety critical systems,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Control barrier function based quadratic programs for safety critical systems,

Reference 29

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Observation cef7a4b3-dab1-466f-9905-c912dcb29ef3 · outbound

This paper cites Modeling, simulation, and analysis of permanent-magnet motor drives, Part I: The permanent-magnet syn- chronous motor drive,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Modeling, simulation, and analysis of permanent-magnet motor drives, Part I: The permanent-magnet syn- chronous motor drive,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.493776Z

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Observation a773e3d1-0f90-49f1-b41b-1cdefe1e92ec · outbound

This paper cites Krishnan,Permanent Magnet Synchronous and Brushless DC Motor Drives.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Krishnan,Permanent Magnet Synchronous and Brushless DC Motor Drives

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.485456Z

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Observation 17065374-feb6-453a-a772-a5f14a35e628 · outbound

This paper cites Control barrier functions: Theory and applications,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Control barrier functions: Theory and applications,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.477531Z

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Observation 2374c0b7-4f1c-4251-ad99-1e4253a96f33 · outbound

This paper cites AntisymmetricRNN: A dynamical system view on recurrent neural networks,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs AntisymmetricRNN: A dynamical system view on recurrent neural networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.469615Z

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Observation a8142aac-c7bf-4a70-8d55-6ea676ee5a5c · outbound

This paper cites Dissecting neural ODEs,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Dissecting neural ODEs,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:01:23.461748Z

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Observation a0299dd2-677c-4d6c-85dd-92afa9aa144e · outbound

This paper cites ICODE: Modeling dynamical systems with extrinsic input information,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs ICODE: Modeling dynamical systems with extrinsic input information,

Reference 35

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Observation 31cebd3e-a01c-4e8c-8c40-1fbcd31b34e2 · outbound

This paper cites ControlSynth neural ODEs: Modeling dynamical systems with guaranteed convergence,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs ControlSynth neural ODEs: Modeling dynamical systems with guaranteed convergence,

Reference 36

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Observation cfca62fa-98f2-4c32-ad6b-aa75bf864b10 · outbound

This paper cites Learning and current prediction of PMSM drive via differential neural networks,.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Learning and current prediction of PMSM drive via differential neural networks,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T18:01:23.229410Z

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