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Paper Citation Record · LEDGER

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations

As of 11 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.15805.

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pith.paper-citation-record.v1
2507.15805 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:27:44.519231Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5680d31a-c300-4d72-8b8a-6abd1d80a5cf · outbound

This paper cites Time-Series Machine Learning Techniques for Modeling and Identification of Mecha- tronic Systems with Friction: A Review and Real Application,Electronics, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Time-Series Machine Learning Techniques for Modeling and Identification of Mecha- tronic Systems with Friction: A Review and Real Application,Electronics, Vol

Reference 1

Resolution
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Source-reported events for the cited work

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Observation f446fab9-5376-4e0a-84a1-b421fccf33d8 · outbound

This paper cites Formulating turbulence closures using sparse regression with embedded form invariance,Physical Review Fluids, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Formulating turbulence closures using sparse regression with embedded form invariance,Physical Review Fluids, Vol

Reference 2

Resolution
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Observation 58cbf7fa-777a-4e53-90b9-6f38a3d875da · outbound

This paper cites Sparse learning of stochastic dynamical equations,The Journal of Chemical Physics, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Sparse learning of stochastic dynamical equations,The Journal of Chemical Physics, Vol

Reference 3

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Observation b799c9e6-7caa-44c6-b5b8-155750e817e0 · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems,Proceedings of the National Academy of Sciences, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Discovering governing equations from data by sparse identification of nonlinear dynamical systems,Proceedings of the National Academy of Sciences, Vol

Reference 4

Resolution
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Observation da2c4beb-b40e-4b06-959b-073d0edde88b · outbound

This paper cites Data-driven discovery of coordinates and governing equations,Proceedings of the National Academy of Sciences, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Data-driven discovery of coordinates and governing equations,Proceedings of the National Academy of Sciences, Vol

Reference 5

Resolution
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Observation 29e3460f-6122-4e2f-8f41-dcfd220a6499 · outbound

This paper cites Efficient Inference of Parsimonious Phenomenological Models of Cellular Dy- namics Using S-Systems and Alternating Regression,PloS ONE, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Efficient Inference of Parsimonious Phenomenological Models of Cellular Dy- namics Using S-Systems and Alternating Regression,PloS ONE, Vol

Reference 6

Resolution
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Source-reported events for the cited work

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Observation a9509117-2154-449f-ac66-164b9d45affb · outbound

This paper cites A Robust SINDy Approach by Combining Neural Networks and an Integral Form.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations A Robust SINDy Approach by Combining Neural Networks and an Integral Form

Reference 7

Resolution
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Source-reported events for the cited work

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Observation 1fc93553-f755-40c7-a7f5-d49c96f16191 · outbound

This paper cites Cluster-based network model identification and control of nonlinear systems.Nonlinear Dynamics, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Cluster-based network model identification and control of nonlinear systems.Nonlinear Dynamics, Vol

Reference 8

Resolution
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Source-reported events for the cited work

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Observation b74ac678-9179-417e-b88c-5ca392ebc534 · outbound

This paper cites 87, 1, 2021.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations 87, 1, 2021

Reference 9

Resolution
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Source-reported events for the cited work

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Observation fb1d458e-b897-40c5-96ea-6958624e3e25 · outbound

This paper cites Constrained sparse Galerkin regression,Journal of Fluid Mechanics, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Constrained sparse Galerkin regression,Journal of Fluid Mechanics, Vol

Reference 10

Resolution
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Observation cd736953-3126-4ba9-bccc-75f9e20d02c3 · outbound

This paper cites Sparse reduced-order modeling: Sensor-based dynamics to full- state estimation.Journal of Fluid Mechanics, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Sparse reduced-order modeling: Sensor-based dynamics to full- state estimation.Journal of Fluid Mechanics, Vol

Reference 11

Resolution
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Observation 39d0f207-17b1-4015-a64c-ee8fd414a417 · outbound

This paper cites Mathematical Biology.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Mathematical Biology

Reference 12

Resolution
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This paper cites Inferring biological networks by sparse identification of nonlinear dynamics,IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Inferring biological networks by sparse identification of nonlinear dynamics,IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, Vol

Reference 13

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Observation 40c82a3b-0373-42a5-95f4-98a50a6a4ca5 · outbound

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

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Data-driven discovery of partial differential equations, Science Advances, Vol

Reference 14

Resolution
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Source-reported events for the cited work

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Observation 61835be4-4f66-4105-8f50-0e5e80946663 · outbound

This paper cites Temperature dependency and temperature compensation in a model of yeast glycolytic oscillations,Biophys Chem, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Temperature dependency and temperature compensation in a model of yeast glycolytic oscillations,Biophys Chem, Vol

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 4bf43616-7b95-4741-b7b8-5ac0bc4494a5 · outbound

This paper cites Learning dynamical systems and bifurcation via group sparsity,SIAM Journal on Applied Mathematics, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Learning dynamical systems and bifurcation via group sparsity,SIAM Journal on Applied Mathematics, Vol

Reference 16

Resolution
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Source-reported events for the cited work

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Observation 6c4167ed-d5d9-473b-9833-defd50a5cbb2 · outbound

This paper cites Sparse identification of truncation errors,Journal of Computational Physics, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Sparse identification of truncation errors,Journal of Computational Physics, Vol

Reference 17

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Observation 210ef221-a742-4fed-9a8e-bdc71d488452 · outbound

This paper cites Sparse Discovery of Functional Relationships in ODE Systems.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Sparse Discovery of Functional Relationships in ODE Systems

Reference 18

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Source-reported events for the cited work

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Observation 0041b6b1-faab-4241-9d31-01d97d2e95d4 · outbound

This paper cites On the Convergence of the SINDy Algorithm,SIAM Journal on Scientific Computing, Vol.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations On the Convergence of the SINDy Algorithm,SIAM Journal on Scientific Computing, Vol

Reference 19

Resolution
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Observation d4c0f9e4-4395-4f7a-912d-56a261ea4d43 · outbound

This paper cites SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning

Reference 20

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Source-reported events for the cited work

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Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations Unresolved cited work

Reference 21

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