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Paper Citation Record · LEDGER

Modern Koopman Theory for Dynamical Systems

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2102.12086.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2102.12086 v2

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measured 45 of 45 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:50:43.111144Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-04T19:10:05.207886Z

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Pith citing papers

Observation b054d6cb-2ea2-414b-9197-9fbb94d930af · inbound

Graph State-Space Models and Latent Relational Inference cites this paper.

Graph State-Space Models and Latent Relational Inference Modern Koopman Theory for Dynamical Systems

Reference 7

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arxiv_id, observed 2026-05-24T10:06:07.872029Z

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Observation 93fcf757-b122-4f98-bad6-2621ffb74b1d · inbound

Carleman Linearization of Partial Differential Equations cites this paper.

Carleman Linearization of Partial Differential Equations Modern Koopman Theory for Dynamical Systems

Reference 7

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Observation a52e2d24-a9dd-4d20-a68b-dc61585025e9 · inbound

Online Physics-Informed Dynamic Mode Decomposition: Theory and Applications cites this paper.

Online Physics-Informed Dynamic Mode Decomposition: Theory and Applications Modern Koopman Theory for Dynamical Systems

Reference 8

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Observation 6f679678-a8d0-4108-9ef6-ee41aa3b7076 · inbound

Loss Terms and Operator Forms of Koopman Autoencoders cites this paper.

Loss Terms and Operator Forms of Koopman Autoencoders Modern Koopman Theory for Dynamical Systems

Reference 34

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source=pdf_text observed=2026-08-11T21:27:26.408411Z digest=sha256:f43a0a02e878bac9c609d848edbf123be3ca7ef06820ba68f32383b0c5ecc65d

Observation 4380aed6-001f-40f0-86f9-7a56d96769ec · inbound

Learning Hidden Physics and System Parameters with Deep Operator Networks cites this paper.

Learning Hidden Physics and System Parameters with Deep Operator Networks Modern Koopman Theory for Dynamical Systems

Reference 11

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arxiv_id, observed 2026-05-23T07:45:28.938826Z

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source=pdf_text observed=2026-05-23T07:44:41.833239Z digest=sha256:fb10ac5fdcad1c2520d921a5e9941ff3a5e73cc99e04da3a1c202f7aa833f970

Observation 55c398a4-a217-422c-82c5-7a44516c91e8 · inbound

Some Best Practices in Operator Learning cites this paper.

Some Best Practices in Operator Learning Modern Koopman Theory for Dynamical Systems

Reference 38

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source=pdf_text observed=2026-08-11T19:24:03.423151Z digest=sha256:dd3b3f227ec35f4c57593a760562a4ba29e55ca83fb31f3ce186cb95c4836403

Observation b0bd82af-0082-4dff-8762-566d2be5a1d4 · inbound

Adversarial Autoencoders in Operator Learning cites this paper.

Adversarial Autoencoders in Operator Learning Modern Koopman Theory for Dynamical Systems

Reference 35

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source=pdf_text observed=2026-08-11T19:07:05.582994Z digest=sha256:ff5c28af7e54232991bdb252d4b3fe5cc34e9bd32049d63cb0f7b08411903c15

Observation f1509bd4-f896-4051-8936-cb4630d63157 · inbound

Discover physical concepts and equations with machine learning cites this paper.

Discover physical concepts and equations with machine learning Modern Koopman Theory for Dynamical Systems

Reference 31

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source=pdf_text observed=2026-08-11T17:53:24.897148Z digest=sha256:16824b1f557dd4a3b3c83557a8964125a21b51d2aff00bb3f52effa608ad4a27

Observation 54c89317-7cb5-457e-b478-84c2bd3b9132 · inbound

Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks cites this paper.

Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks Modern Koopman Theory for Dynamical Systems

Reference 9

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source=pdf_text observed=2026-08-10T16:21:35.902775Z digest=sha256:a4023d2d5a0b3549a82743db316498f9a97c98e0b11da2357ff02986eaac7d7b

Observation ca987e4e-0891-43d9-be80-cb77ea824274 · inbound

Data-Driven Contact-Aware Control Method for Real-Time Deformable Tool Manipulation: A Case Study in the Environmental Swabbing cites this paper.

Data-Driven Contact-Aware Control Method for Real-Time Deformable Tool Manipulation: A Case Study in the Environmental Swabbing Modern Koopman Theory for Dynamical Systems

Reference 30

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arxiv_id, observed 2026-05-22T22:37:12.462486Z

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source=pdf_text observed=2026-05-22T22:37:07.608847Z digest=sha256:0cf9aac8d56c084993506e89700068c8b1408488aa307d23afa7817e33f32777

Observation 65fd29b6-ec99-43c8-b77a-773a2c69eba4 · inbound

Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization cites this paper.

Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization Modern Koopman Theory for Dynamical Systems

Reference 5

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source=arxiv_source observed=2026-08-06T22:15:44.936926Z digest=sha256:45e1ec0d2f9c1d1fc5b07f4dd98639d9b0e0e004ca667b1b2755589673131d6a

Observation 9e005f4a-c55a-41b0-a713-507982057956 · inbound

Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage cites this paper.

Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage Modern Koopman Theory for Dynamical Systems

Reference 92

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arxiv_id, observed 2026-05-19T02:36:59.521462Z

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source=pdf_text observed=2026-05-19T02:35:46.892916Z digest=sha256:2dd4fd588eab1032f50682fd95617b0b6771cfe37cbdb7372661ff6a39b2a650

Observation 414454b1-f781-4779-99d1-d51d70761066 · inbound

A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions cites this paper.

A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions Modern Koopman Theory for Dynamical Systems

Reference 137

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arxiv_id, observed 2026-05-18T22:41:53.833555Z

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source=pdf_text observed=2026-05-18T22:37:32.388931Z digest=sha256:dff42c2f2ee8f7fc8af4348e9035c6f791f4cb7318b371fa423eb8c3456715a8

Observation 7f0f0bff-0c93-40fe-a1a9-606c1ba79513 · inbound

Artificial neural network solver for Fokker-Planck and Koopman eigenfunctions cites this paper.

Artificial neural network solver for Fokker-Planck and Koopman eigenfunctions Modern Koopman Theory for Dynamical Systems

Reference 5

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source=pdf_text observed=2026-08-15T16:50:43.111144Z digest=sha256:62971efd99f5a27191f283c485d7e7103fe7a995bb3a8ac8a6b48f90cd8826af

Observation 2d23c67b-460d-4188-918c-572afe243c7c · inbound

Parameter Robustness in Data-Driven Estimation of Dynamical Systems cites this paper.

Parameter Robustness in Data-Driven Estimation of Dynamical Systems Modern Koopman Theory for Dynamical Systems

Reference 7

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source=pdf_text observed=2026-08-04T23:35:55.576059Z digest=sha256:ee42712a37b47fd02a6a9911d8bc9bac88fa1b6742c1d8b32c8d562333e3289a

Observation 4c239f3d-27cb-4418-9ff2-43d96fa876bd · inbound

Data-driven discovery of dynamical models in biology cites this paper.

Data-driven discovery of dynamical models in biology Modern Koopman Theory for Dynamical Systems

Reference 91

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source=pdf_text observed=2026-08-04T23:15:50.340369Z digest=sha256:406047b1149c19242a4f9e5cf32857a752713c14d9cd970ad294541fd7c179fb

Observation f73b5c93-f24b-421c-9cc1-86c0088d37a2 · inbound

Residual SCI Upper Bounds And Lower Witnesses For Koopman Approximate Point Spectra In $L^p$ For $1<p<\infty$: Extended Version cites this paper.

Residual SCI Upper Bounds And Lower Witnesses For Koopman Approximate Point Spectra In $L^p$ For $1<p<\infty$: Extended Version Modern Koopman Theory for Dynamical Systems

Reference 7

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arxiv_id, observed 2026-05-18T15:56:34.605040Z

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source=arxiv_source observed=2026-05-18T15:55:26.009994Z digest=sha256:50fe3a9bbc25a7088c9e65c949a83feed8ba6c3a38dd3d7749a2455719ddd374

Observation 14b54f24-20c0-4e5c-9a49-f15808f2e72f · inbound

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting cites this paper.

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting Modern Koopman Theory for Dynamical Systems

Reference 6

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arxiv_id, observed 2026-05-18T12:51:23.439565Z

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source=arxiv_source observed=2026-05-18T12:49:02.077485Z digest=sha256:89887b2e9ddf80e5c47dfe33a5047c40c4996f51a73c72c683d1debd96bfec1d

Observation 4ef38fd0-63e3-4f5e-a4ec-1a9f2f3f0b20 · inbound

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning cites this paper.

Optimizing Control-Friendly Trajectories with Self-Supervised Residual Learning Modern Koopman Theory for Dynamical Systems

Reference 12

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arxiv_id, observed 2026-05-16T17:48:11.594399Z

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Observation c68dc161-69d3-42d7-8968-a5b898ff5f58 · inbound

Endpoint Koopman Spectral Computation: $L^1$ Residual Bounds, $L^\infty$ Instability, and Point-Spectral SCI Calibration Families cites this paper.

Endpoint Koopman Spectral Computation: $L^1$ Residual Bounds, $L^\infty$ Instability, and Point-Spectral SCI Calibration Families Modern Koopman Theory for Dynamical Systems

Reference 2

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source=arxiv_source observed=2026-08-03T10:22:29.660866Z digest=sha256:07a30267ad30f340bcc1023bfd1cc32d81610bd5a8198486adad1d583fb96a1d

Observation bf55838f-cf6a-42ca-a3ea-46dfcd2c698c · inbound

Wasserstein Geometry of Information Loss in Nonlinear Dynamical Systems cites this paper.

Wasserstein Geometry of Information Loss in Nonlinear Dynamical Systems Modern Koopman Theory for Dynamical Systems

Reference 10

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source=pdf_text observed=2026-08-03T06:29:57.241320Z digest=sha256:08911ebf7288d9c471cbb7be619982720a910663a9d89b410e5e062fb5597c3f

Observation fe849541-ccdd-4a3c-9401-adb98836075a · inbound

LC-SAC: Lyapunov-Constrained Soft Actor-Critic via Koopman Operator Theory for Trajectory Tracking and Stabilization cites this paper.

LC-SAC: Lyapunov-Constrained Soft Actor-Critic via Koopman Operator Theory for Trajectory Tracking and Stabilization Modern Koopman Theory for Dynamical Systems

Reference 18

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source=pdf_text observed=2026-08-03T04:47:40.487867Z digest=sha256:167433fe32e2fe1c6cd2628a748b7b6fe2cbd32ab8b8bc0fe10e6486fcfb8370

Observation f2420091-fb69-403f-a9dd-3c212cb276cb · inbound

Is Flow Matching Just Trajectory Replay for Sequential Data? cites this paper.

Is Flow Matching Just Trajectory Replay for Sequential Data? Modern Koopman Theory for Dynamical Systems

Reference 18

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arxiv_id, observed 2026-05-16T06:22:27.476818Z

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source=pdf_text observed=2026-05-16T06:22:23.161815Z digest=sha256:f2bef78b8115ff0f2829a5d2ed5655ff6f7a9953dd822c50317fe8c33ae49015

Observation b856d01f-a62c-4ef4-867a-86f89b073a39 · inbound

Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees cites this paper.

Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees Modern Koopman Theory for Dynamical Systems

Reference 12

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Observation 36c941a4-7993-439b-af12-9ef0f5d63721 · inbound

Transformers converge to invariant algorithmic cores cites this paper.

Transformers converge to invariant algorithmic cores Modern Koopman Theory for Dynamical Systems

Reference 54

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source=pdf_text observed=2026-08-02T20:46:35.102776Z digest=sha256:c88cb174ede991e5960d7675c74097566f3799a3259e661b1b2bc59d358f7cbc

Observation 7e7b3316-58b7-4559-9970-d7663f8bcccc · inbound

Koopman Operator Framework for Modeling and Control of Off-Road Vehicle on Deformable Terrain cites this paper.

Koopman Operator Framework for Modeling and Control of Off-Road Vehicle on Deformable Terrain Modern Koopman Theory for Dynamical Systems

Reference 19

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arxiv_id, observed 2026-05-14T21:19:28.445723Z

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Observation 9f2c1855-d73f-4452-83c7-62bfe60aec00 · inbound

Weak-DMD: A Galerkin approach to the problem of noise in the Dynamic Mode Decomposition algorithm cites this paper.

Weak-DMD: A Galerkin approach to the problem of noise in the Dynamic Mode Decomposition algorithm Modern Koopman Theory for Dynamical Systems

Reference 14

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Observation 3fa3de9a-7a9d-4f21-98ba-762c79268e62 · inbound

Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models cites this paper.

Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models Modern Koopman Theory for Dynamical Systems

Reference 5

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arxiv_id, observed 2026-05-11T14:41:19.997819Z

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source=pdf_text observed=2026-05-09T21:15:59.803131Z digest=sha256:0468eca1ab5c152d03f24971b81fde6875792d5c4949f07a9d6e272ad6762a8a

Observation cd880926-b6be-4b60-9247-0ecfeb887209 · inbound

Non-conservation and time non-locality of biased tracers cites this paper.

Non-conservation and time non-locality of biased tracers Modern Koopman Theory for Dynamical Systems

Reference 139

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arxiv_id, observed 2026-05-11T18:11:05.314456Z

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source=arxiv_source observed=2026-05-08T16:32:11.394394Z digest=sha256:00ac9e85894e3d6b5e8354e944581b3f40b4ecc3716720f5332f81a27c428dff

Observation 1ae81119-ee3d-4fe8-90ce-04ea954cb5fe · inbound

SACK : Safe Active Continual Koopman Learning for Uncertain Systems with Contractive Guarantees cites this paper.

SACK : Safe Active Continual Koopman Learning for Uncertain Systems with Contractive Guarantees Modern Koopman Theory for Dynamical Systems

Reference 12

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arxiv_id, observed 2026-05-12T06:56:31.213768Z

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source=pdf_text observed=2026-05-12T03:46:50.113756Z digest=sha256:ac0108b021c252f6e44233dc20dc6eb4fdf7d025b6ce3a77f64c71e9fc327524

Observation 690a02c7-3f79-4f82-9dd0-e258a9547596 · inbound

A Novel Schur-Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures cites this paper.

A Novel Schur-Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures Modern Koopman Theory for Dynamical Systems

Reference 14

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source=pdf_text observed=2026-05-15T01:38:24.617059Z digest=sha256:7ff16e9e7fa2d2ca50aa436c19159c1455767af9d86b0950db2fd9256dc44d89

Observation 99478e62-c6aa-4d29-a1b6-e041e1a8b5da · inbound

Data-driven analysis of metastability in a stochastic bistable system cites this paper.

Data-driven analysis of metastability in a stochastic bistable system Modern Koopman Theory for Dynamical Systems

Reference 85

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arxiv_id, observed 2026-05-19T20:57:46.948909Z

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source=arxiv_source observed=2026-05-19T20:54:37.190512Z digest=sha256:23dd2caf3f8ca85259cb0e43e98369b08370af7d14503c37f3216bbc24ffb862

Observation aa4adc08-6168-4450-aea9-16d32d9ba61f · inbound

Exact expression for maximum Lyapunov exponent during transients in computationally powerful dynamical networks cites this paper.

Exact expression for maximum Lyapunov exponent during transients in computationally powerful dynamical networks Modern Koopman Theory for Dynamical Systems

Reference 26

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arxiv_id, observed 2026-05-21T01:19:20.839436Z

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source=pdf_text observed=2026-05-21T01:17:53.114105Z digest=sha256:5e5cd1f6013a912cdeba7cc3675ccd569499ac44a3cf0e9a1aac49aeb07b3265

Observation 92888a92-5e18-4281-9178-30ac88b2455e · inbound

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations cites this paper.

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations Modern Koopman Theory for Dynamical Systems

Reference 224

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arxiv_id, observed 2026-07-02T01:36:26.348183Z

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source=arxiv_source observed=2026-06-28T11:36:45.020411Z digest=sha256:87bac433117e2a3c8fbc70042ab61c86e23acd2c038d9772658f12bf54da197e

Observation c5c97663-5701-4ccf-b66a-6014f1c345f2 · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Modern Koopman Theory for Dynamical Systems

Reference 147

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T17:07:27.417845Z digest=sha256:35a2de5e260ddb5043a423040eebf0a6325d96d9d305d09417712aed7f6aa23a

Observation 01a8209b-9912-4488-bafe-1fe9754baae6 · inbound

Integral Formulation of QENDy for Robust Nonlinear System Identification cites this paper.

Integral Formulation of QENDy for Robust Nonlinear System Identification Modern Koopman Theory for Dynamical Systems

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:18:12.509143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T08:22:25.922361Z digest=sha256:cf392ad855907d3ce6c42b7daae659aec11c0cb570b1e88f68ef383e58d75034

Observation 1ca39211-0103-4d1e-aad9-0ce9706b19be · inbound

Data-Based Dynamical Systems Reconstruction: An Adequacy/Reliability Test cites this paper.

Data-Based Dynamical Systems Reconstruction: An Adequacy/Reliability Test Modern Koopman Theory for Dynamical Systems

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:10:05.209396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-25T21:39:57.667120Z digest=sha256:5d51f2dde7adbaa14bdbe86cba8d2101013f9c37052a0003a02ec5740ade0e13

Observation 6b16f032-18f0-47a4-9cf2-317d70e43c2a · inbound

A Shallow Recurrent Decoder for Dynamic State Estimation with a Limited Number of PMUs in Power Systems cites this paper.

A Shallow Recurrent Decoder for Dynamic State Estimation with a Limited Number of PMUs in Power Systems Modern Koopman Theory for Dynamical Systems

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:47:17.640100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T17:41:07.990727Z digest=sha256:64580d7a14e31374f007b390a059b4370af02a995e234dcb341678d0d623e7e9

Observation 9433552d-67a1-469f-ac6f-17d4d34cdde1 · inbound

fSRD: Fuzzy Spectral Region Decomposition -- Automated Multi Operator Koopman Representations via an Adaptive Spectral Learning Architecture cites this paper.

fSRD: Fuzzy Spectral Region Decomposition -- Automated Multi Operator Koopman Representations via an Adaptive Spectral Learning Architecture Modern Koopman Theory for Dynamical Systems

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T16:30:32.405948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:30:32.405948Z digest=sha256:4c7d905c3460f6bd0fe60936ad896caf764d760f250de6ddbdc0877755d0fe6c

Observation 59cf2b5f-c172-433a-b65a-d184bf147bbe · inbound

RAMP: Recognition parametrisation by Amortised Message Passing cites this paper.

RAMP: Recognition parametrisation by Amortised Message Passing Modern Koopman Theory for Dynamical Systems

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-01T14:07:57.979115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:07:57.979115Z digest=sha256:344e95d16ae644fb1b0ce434488bf8a6cfeb9ba6434296a6bec269df4aa9310c

Observation c95a0974-c644-4873-a3cb-e82e967e771e · inbound

Learning Ergodic Dynamical Systems from a Finite Trajectory cites this paper.

Learning Ergodic Dynamical Systems from a Finite Trajectory Modern Koopman Theory for Dynamical Systems

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T04:58:39.684574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:58:39.684574Z digest=sha256:2ee55403609edfa1db867f976439489f94eb3d3899d9d7bb7cef82da7245591d

Observation 92351730-bf79-4290-90be-af7ad66b327d · inbound

Self-Adaptive Learning and Model Predictive Control for Tracking Unknown Dynamics with No Regret cites this paper.

Self-Adaptive Learning and Model Predictive Control for Tracking Unknown Dynamics with No Regret Modern Koopman Theory for Dynamical Systems

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-01T17:24:15.137675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:24:15.137675Z digest=sha256:c38f1e93dd9aa7f2afebd8e541c72008fc79ff1ce0b15a9d4aa6a26978a315f3

Observation af85d360-d238-40ce-82cf-ad7d1fbb049d · inbound

Certifying Collective Reasoning in Multi-Agent Systems via Koopman Spectral Analysis cites this paper.

Certifying Collective Reasoning in Multi-Agent Systems via Koopman Spectral Analysis Modern Koopman Theory for Dynamical Systems

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T20:28:42.107981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:28:42.107981Z digest=sha256:49303c42d7fc6742dad84c8f9cadbc0a166fbac505c0c58ac1126af0c11dc310

Observation 993ab7fa-61ee-4052-b2e8-db1dcaa2ca28 · inbound

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability cites this paper.

Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability Modern Koopman Theory for Dynamical Systems

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-14T04:21:09.545177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:21:09.545177Z digest=sha256:0b0414b8e448ff6004cc508f0dfe1402c994ec8a6756e1c550774faf83360acf

Observation c830d3d6-0df6-469f-aa40-6849d5d96234 · inbound

Koopman Representation of Nonlinear Virtual Environments in Kinesthetic Haptic Systems cites this paper.

Koopman Representation of Nonlinear Virtual Environments in Kinesthetic Haptic Systems Modern Koopman Theory for Dynamical Systems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T14:17:47.389309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:17:47.389309Z digest=sha256:276cf5f00ced158d7ca8981ac38bf6a3c7b96a927d284abc87358c1eedd88886