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Paper Citation Record · LEDGER

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition

As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2507.05797.

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

pith.paper-citation-record.v1
2507.05797 v3

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

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measured 57 of 57 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

57 of 57 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec78e56a-6458-4dc4-9b7c-3247292c0dfa · outbound

This paper cites Unsupervisedlearningapproachtoquantumwave-packetdynamicsfromcoupledtemporal-spatial correlations.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Unsupervisedlearningapproachtoquantumwave-packetdynamicsfromcoupledtemporal-spatial correlations

Reference 1

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Observation eadf3ab9-5d33-4b66-b98c-52627c5da65a · outbound

This paper cites Adynamicmodedecompositionframeworkforglobalpowersystemoscillationanalysis.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Adynamicmodedecompositionframeworkforglobalpowersystemoscillationanalysis

Reference 2

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Observation 1896daab-59d1-464d-8621-1915eec51104 · outbound

This paper cites Learning long-term dependencies with gradient descent is difficult.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Learning long-term dependencies with gradient descent is difficult

Reference 3

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Observation a060530c-5880-4309-83d8-2960126e8521 · outbound

This paper cites Decoherence in qubits due to low-frequency noise.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Decoherence in qubits due to low-frequency noise

Reference 4

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Observation 3fb7b21e-34b7-417b-8564-5f09483db83d · outbound

This paper cites Stochastic theory of line shape: Generalization of the kubo-anderson model.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Stochastic theory of line shape: Generalization of the kubo-anderson model

Reference 5

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Observation 47bbe521-3f44-416c-bae2-e6881ff4ada4 · outbound

This paper cites Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Extracting spatial–temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition

Reference 6

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Observation 86b69311-0634-49ab-b63c-cefb3bc685bf · outbound

This paper cites Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Reference 7

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Observation ee68de1d-af5a-4784-9be9-20f747648038 · outbound

This paper cites Non-markovian qubit dynamics in the presence of 1/f noise.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Non-markovian qubit dynamics in the presence of 1/f noise

Reference 8

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Observation 64b213b5-f727-4d9d-8bf8-c5c01117f862 · outbound

This paper cites Noisespectroscopy through dynamical decoupling with a superconducting flux qubit.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Noisespectroscopy through dynamical decoupling with a superconducting flux qubit

Reference 9

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Observation 4582760b-c932-4fa6-b15c-d4ad56cecf9a · outbound

This paper cites Theory and Experimental Demonstration of Quantum Invariant Filtering.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Theory and Experimental Demonstration of Quantum Invariant Filtering

Reference 10

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Observation 41d42327-7993-4e90-b7bc-a160792d19b0 · outbound

This paper cites Regularization of Inverse Problems.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Regularization of Inverse Problems

Reference 11

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Observation a697de44-bc54-4867-9cb0-a159b0cd8786 · outbound

This paper cites Introductiontoquantumnoise,measurement,andamplification.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Introductiontoquantumnoise,measurement,andamplification

Reference 12

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Observation e4e49060-e4c5-4acd-b3e5-36456a0358f9 · outbound

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Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Quantumfilterdiagonalizationwithcompresseddouble-factorizedhamiltonians

Reference 13

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Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Phase noise in oscillators: A unifying theory and numerical methods for characterization

Reference 14

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Observation 3b854c26-8226-46fa-8c72-87a85ea98e27 · outbound

This paper cites Machine learning & artificial intelligence in the quantum domain: a review of recent progress.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Machine learning & artificial intelligence in the quantum domain: a review of recent progress

Reference 15

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Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Finding structure in time

Reference 16

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Observation 54373a73-9b18-470e-8a94-dbc128d96e5a · outbound

This paper cites Initial decoherence in solid state qubits.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Initial decoherence in solid state qubits

Reference 17

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Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Bayesian quantum noise spectroscopy

Reference 18

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Observation c41e37df-b8e4-4bee-89d7-c200fff47c69 · outbound

This paper cites Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences

Reference 19

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Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Quantum Noise

Reference 20

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This paper cites Handbook of stochastic methods.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Handbook of stochastic methods

Reference 21

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Observation b3ae60a0-b680-4c1b-8762-50e428660145 · outbound

This paper cites Universal dynamical decoherence control of noisy single-and multi-qubit systems.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Universal dynamical decoherence control of noisy single-and multi-qubit systems

Reference 22

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Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Optimal dynamical decoherence control of a qubit

Reference 23

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Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Numericalanalyticcontinuation:Answerstowell-posedquestions

Reference 24

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Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Colored noise in dynamical systems

Reference 25

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Observation 374e96ae-686a-41fe-b410-3ac64e33306f · outbound

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Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Long short-term memory

Reference 26

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This paper cites Bayesianinferenceandtheanalyticcontinuationofimaginary-timequantummontecarlodata.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Bayesianinferenceandtheanalyticcontinuationofimaginary-timequantummontecarlodata

Reference 27

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Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Principal Component Analysis

Reference 28

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This paper cites URL:https://www.sciencedirect.com/science/article/pii/S0167947311004099, doi:https://doi.org/10.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition URL:https://www.sciencedirect.com/science/article/pii/S0167947311004099, doi:https://doi.org/10

Reference 29

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This paper cites Forecasting long-time dynamics in quantum many-body systems by dynamic mode decomposition.Phys.Rev.Res.7,013085.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Forecasting long-time dynamics in quantum many-body systems by dynamic mode decomposition.Phys.Rev.Res.7,013085

Reference 30

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Observation 07774cc5-0c54-4da1-ac4c-2a9dd7cbb815 · outbound

This paper cites Numerical Solution to Stochastic Differential Equations.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Numerical Solution to Stochastic Differential Equations

Reference 31

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Observation 1e20d5fe-a5ea-4ce6-b3bc-54ddae3a728d · outbound

This paper cites Artificial intelligence and machine learning for quantum technologies.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Artificial intelligence and machine learning for quantum technologies

Reference 32

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Observation cfe1cc2c-eb4b-44ee-8fdb-0620074a5c4f · outbound

This paper cites A stochastic theory of line shape, in: Shuler, K.E.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition A stochastic theory of line shape, in: Shuler, K.E

Reference 33

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Observation 1994ebcc-1308-485d-bb65-cd3c74354587 · outbound

This paper cites Dynamic mode decomposition: data-driven modeling of complex systems.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Dynamic mode decomposition: data-driven modeling of complex systems

Reference 34

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Observation 2cb4d9af-7d41-4511-89a1-4c060393228b · outbound

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Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Deep learning

Reference 35

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no resolver link, observed 2026-08-06T19:26:14.896653Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:14.896653Z digest=sha256:edaef1f971179e8c6bc97f2629c93bf22434ca24d4fe8d765132ff946cde7674

Observation ef423369-f4ae-4b48-a90a-0a0971ad7eb3 · outbound

This paper cites Lecture Notes on the Theory of Open Quantum Systems.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Lecture Notes on the Theory of Open Quantum Systems

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T19:26:14.898892Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:14.898892Z digest=sha256:0e31ece953332cd5e2a0f1d9f9af8c94d05ee192f5d4e613bafa8b35bd3902f7

Observation 05fc557b-6608-4450-b923-5ce72d602315 · outbound

This paper cites Fdm: the filter diagonalization method for data processing in nmr experiments.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Fdm: the filter diagonalization method for data processing in nmr experiments

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.449036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.900940Z digest=sha256:a19408599b6b74d307ba3166f04abd6ec75adcb9591beb2c353cad3b6a2516d4

Observation ea6f66c2-2114-4a9d-b14b-87e978e6ee75 · outbound

This paper cites Dynamic mode decomposition for analysis of time-series data.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Dynamic mode decomposition for analysis of time-series data

Reference 38

Resolution
verified exact
doi, observed 2026-08-06T19:26:14.967991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.902677Z digest=sha256:853ead953b4193890a942b724e76a02c7905f2397a2f94122c726da3b76ca87b

Observation 826e5c7e-4fc5-451e-ab41-9432936151c1 · outbound

This paper cites Stochasticoptimizationmethodforanalyticcontinuation,in:Correlatedelectrons:frommodelstomaterials.Forschungszen- trum Jülich GmbH Institute for Advanced Simulation.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Stochasticoptimizationmethodforanalyticcontinuation,in:Correlatedelectrons:frommodelstomaterials.Forschungszen- trum Jülich GmbH Institute for Advanced Simulation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.442647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.905188Z digest=sha256:d803657d301419fa517752ffccc6fe8b15cd55ab20aa10df31c8361a9ce34629

Observation 8f0af6a3-c24f-4f81-ac7e-85ada959469c · outbound

This paper cites Bound state eigenfunctions from wave packets: Time→energy resolution.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Bound state eigenfunctions from wave packets: Time→energy resolution

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.436702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.907152Z digest=sha256:8ce03ba34fc4be7260b76cc0001b9b498e776b24606e132cf70360f381d2ba9c

Observation 14649492-9762-448a-a34b-1097677fbb09 · outbound

This paper cites Qubit noise spectroscopy for non-gaussian dephasing environments.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Qubit noise spectroscopy for non-gaussian dephasing environments

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.431260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.909758Z digest=sha256:363d18833c044c55f48b0401cc94e1b1b79b64d5998b2961c2bc7ef167a3a830

Observation 67abd277-7d67-4ca3-b085-f9e3f96e4a07 · outbound

This paper cites Decoherence and 1/f noise in josephson qubits.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Decoherence and 1/f noise in josephson qubits

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.425503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.911592Z digest=sha256:6eec34528e3ceeb1a3b70837112bc0d9ba12a3df5fb9f143b3a330d10ad67dd0

Observation 94c8fa0f-2bae-4d4f-a19c-916d2d59703b · outbound

This paper cites 1/f noise: Implications for solid-state quantum information.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition 1/f noise: Implications for solid-state quantum information

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.420344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.913495Z digest=sha256:5e04e4c6b269518368bf80c4d6a3b1b7649a2a235fdb946d16ce76eaaf75ebdc

Observation 12f492ff-0b09-4355-a527-5c6abddab11c · outbound

This paper cites A technique for the numerical solution of certain integral equations of the first kind.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition A technique for the numerical solution of certain integral equations of the first kind

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T19:26:14.915725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:14.915725Z digest=sha256:d35ad22f71601ffbff01b9118e79537f7712f0300c66b76942109f75105cb2d5

Observation 4b6ae6f5-228f-443a-a561-c271223a3e88 · outbound

This paper cites Dynamicmodedecompositionwithcontrol.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Dynamicmodedecompositionwithcontrol

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.414673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.917474Z digest=sha256:00e53539f132fba16ab6ae8592ff5590f79a6f55f04f24dc04be09cb4f9081be

Observation 5997801b-ab31-4e5d-ae0e-080b1a059be3 · outbound

This paper cites Discovering dynamic patterns from infectious disease data using dynamic mode decomposition.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Discovering dynamic patterns from infectious disease data using dynamic mode decomposition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.409171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.919120Z digest=sha256:bb0476d7f2f16cace4b2092dc7c1c3ae87d67be9083fc31ecfd15a03cec41633

Observation 3d36eb84-8470-4e85-a5c8-5f9ec4881dec · outbound

This paper cites Optimal noise-canceling networks.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Optimal noise-canceling networks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.403379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.920845Z digest=sha256:984b8f4b1552d6eb5ce3ec1373ac49481393e5946c3453c89947d9d47852eca4

Observation eea02ccd-81fe-45d7-a18a-06231e63d994 · outbound

This paper cites Spectralanalysisofnonlinearflows.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Spectralanalysisofnonlinearflows

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.396861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.922978Z digest=sha256:8a8c3ec8f30c659456244ece5e9a2e48df0584b9d196d9da6e710752d4ec2ff2

Observation f9faa700-50a4-4bd5-bf8c-96097d7267c5 · outbound

This paper cites Dynamic mode decomposition of numerical and experimental data.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Dynamic mode decomposition of numerical and experimental data

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.391389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.924874Z digest=sha256:69894f4aa8a0a7027544aaf564cffe8358c931228bf7931a2fdbd7ebbc7f32f7

Observation 59692822-e4ac-4abc-8008-0e73cf8decfe · outbound

This paper cites Dynamic mode decomposition and its variants.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Dynamic mode decomposition and its variants

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.385376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.926660Z digest=sha256:70654d8cbb24937713d8f8cd5e81e70134d6f19f3bd9191dbac2340e653f1e05

Observation e18d80a2-f5c5-48c5-9ad3-d756cf583b7e · outbound

This paper cites Regularization of ill-posed problems.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Regularization of ill-posed problems

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.377918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.928371Z digest=sha256:d0c6cb58ab97ee5bd6e4fca6acaf833c87b42d439a41da8ef0b0665ddf2e0f6e

Observation 784216ab-eb8d-42fa-9801-6b7ddc6c7a5d · outbound

This paper cites On dynamic mode decomposition: Theory and applications.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition On dynamic mode decomposition: Theory and applications

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T19:26:14.930228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:14.930228Z digest=sha256:cd5e739cd18c70e6d9ff91265cb7c7a8fa8a7899122585ab55494a576fd75b95

Observation 89f1c728-a60e-4db9-8be6-a5c71b5b20d5 · outbound

This paper cites an unresolved cited work.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:26:15.370564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.932048Z digest=sha256:2b848e9f82f0aa629e7c4124944163263b8c2338b4c864904f8dfd82220a7569

Observation 7171dd31-bef5-4220-b964-64eaf13143a5 · outbound

This paper cites The use of fast fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition The use of fast fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T19:26:14.933782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:14.933782Z digest=sha256:89e36a3a60e84b01f189ab6f8b5da1c295b5598fd6bb14b6c8ef37780dd0a449

Observation 281dee03-7ad4-4f9f-8682-4e0a7c9d2c3b · outbound

This paper cites Challenges in dynamic mode decomposition.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Challenges in dynamic mode decomposition

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:15.364223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.935663Z digest=sha256:909f359131ad2fbc6c03de4ddc032c3563c209862d60c250ee7bff12fb4a2c5f

Observation 38a00513-e34d-46bd-ac77-75583a5d8c8e · outbound

This paper cites Entanglement evolution in a non-markovian environment.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Entanglement evolution in a non-markovian environment

Reference 56

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T19:26:15.358452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:26:14.937419Z digest=sha256:d54ddb496005063498453217280cf6e3b3ad49b104cc62eeaac7605c78ffa204

Observation f23770fb-46d9-48b0-ad4c-0045c8070faf · outbound

This paper cites Generative quantum machine learning via denoising diffusion probabilistic models.

Data-Driven Reconstruction and Characterization of Stochastic Dynamics via Dynamical Mode Decomposition Generative quantum machine learning via denoising diffusion probabilistic models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T19:26:14.939072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:14.939072Z digest=sha256:4b2bf3ecada09d938f33949866073772f53f1c8f6eb3347707409db60f18a597

Pith citing papers

No inbound Pith citation observations are available.