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Paper Citation Record · LEDGER

Modern Koopman Theory for Dynamical Systems

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 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 0 of 0 reference resolution

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measured 35 of 35 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:28:42.107981Z

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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Outbound references

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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 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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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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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:be5d582c299407dd3fc236efcd992cc4e4aac798e4e9383c70a2618edb0717eb

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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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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T22:37:32.388931Z digest=sha256:f7d00550c6d3213483e8a089fddcba8ddde90b0b8898cbb99dfd7a3c437e87bb

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=sha256:0e2b108b91a1efef0e0e65a3f467b157006b52b09dc4660163d2d31892fdcb3b

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=sha256:691a385e293b03b9d251bf34612b2aae0e0d495d0ba5fab4e2c889ed2eb98809

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=sha256:597da8d4282457b9df664704d17a84aeaee7b2cba58fe0fcca271b20b326da7d

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:b2fbf22cb84e5afaebf83e217689b1fa465d4060098a13b84b36b0f714ad4f59

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:eb7faa2f317229f87555ad484d77303f0dcafbbdba9e0a3fb56bbb7a750ecde1

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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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=sha256:29dd96c2e1ac072cb2b39ba9e23cbc00fb2bca68adee08d0492c76257ab9bdc6

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:05:46.738298Z digest=sha256:160f054d1d647f97cee841a6480bd8cab65b820fe2ebfed706221c02fc5f7d94

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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arxiv_id, observed 2026-05-10T11:50:20.677940Z

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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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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:ec8e3d5a7504e01e284f1f324f989bda0203eb8f83ebc2cec5a000f8d8507bc5

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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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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arxiv_id, observed 2026-05-15T01:38:27.478342Z

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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=sha256:6cffc05fc3e3b70c903b7642ab1a50763e85684a24d75e404438700caf540da4

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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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=sha256:5aaaee42cad6dc14754731e82f3cf08e66a87661ad819750cc059a709287f2e6

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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arxiv_id, observed 2026-07-03T00:37:29.989067Z

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source=arxiv_source observed=2026-06-27T17:07:27.417845Z digest=sha256:17e2f89dea3cbaf3dbd3ba0a693b3d1166b172965ef3b8af1e18b03205fb84bb

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

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

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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

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

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source=pdf_text observed=2026-06-25T21:39:57.667120Z digest=sha256:5ae6dcff955b7c4dc0ba419b5e0abf6fa60101aae136046225a43db7baafff86

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

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

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source=pdf_text observed=2026-07-02T17:41:07.990727Z digest=sha256:2e6b948d90a63f2396101625d6e510f52f311ab050299778625841de8570b322

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

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

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source=pdf_text observed=2026-08-01T16:30:32.405948Z digest=sha256:487e8a47512bd1f45638a45ee54c800a1ba6758e71e06642ac614d2376ab7820

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

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source=arxiv_source observed=2026-08-01T14:07:57.979115Z digest=sha256:5214fc3f08954c3fad442afe11bb94a3f490fe6c7336b741fb43186be3cd6718

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

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source=pdf_text observed=2026-08-01T04:58:39.684574Z digest=sha256:bfddb0cacf7eba54957c1ca960fc1eb49272a795e9bf3a38ec9c6aada52cf35f

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

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source=arxiv_source observed=2026-08-01T17:24:15.137675Z digest=sha256:ef73044df443f9ef7487c60da143fe5c9879fa0d7b47a3d0944a1ef091f14c1b

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
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