Paper Citation Record · LEDGER

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery

As of 20 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.02730.

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

pith.paper-citation-record.v1
2507.02730 v1

Coverage vector

measured 50 of 50 reference resolution

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measured 50 of 50 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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Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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verified fuzzy4
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External citation measurements

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Outbound references

Observation 1d30eb26-0e7f-412c-9b6a-46251806fe88 · outbound

This paper cites an unresolved cited work.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Unresolved cited work

Reference 1

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Reference 2

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This paper cites Jimenez del Val, J.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Jimenez del Val, J

Reference 3

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Reference 4

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Observation 272fe75e-96a5-44b2-a2e0-c0f3192338b9 · outbound

This paper cites Zhang, E.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Zhang, E

Reference 7

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This paper cites Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data

Reference 10

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Observation eab850b5-5d0c-41e8-9a25-67f2cd996223 · outbound

This paper cites Petsagkourakis, I.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Petsagkourakis, I

Reference 11

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Observation 7b918522-7e03-4be8-be25-1a08f069ea9b · outbound

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Reference 12

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This paper cites Natarajan, R.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Natarajan, R

Reference 14

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Observation 3b705205-b749-43e0-b815-d2dfbb09a49d · outbound

This paper cites Mowbray, H.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Mowbray, H

Reference 15

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Reference 16

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Observation c66c4ef7-ba30-4aab-a3d5-3b378cdf1cb2 · outbound

This paper cites Kadlec, B.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Kadlec, B

Reference 17

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Observation 674f64c5-60f9-49e3-8bac-ea4f1f4325d5 · outbound

This paper cites Haider, F.O.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Haider, F.O

Reference 18

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Unresolved cited work

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Unresolved cited work

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Unresolved cited work

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Neumann, L

Reference 23

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Observation 23dbcbe6-c1d5-4df3-897c-45df3814d2bc · outbound

This paper cites Forster, D.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Forster, D

Reference 24

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Observation 1163ffc3-0c0e-4bdd-94c5-9ae5d394b6e8 · outbound

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Inference of differential equation models by genetic programming

Reference 25

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This paper cites Nobile, Daniela Besozzi, Paolo Cazzaniga, Dario Pescini, and Giancarlo Mauri.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Nobile, Daniela Besozzi, Paolo Cazzaniga, Dario Pescini, and Giancarlo Mauri

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Dev, and Mario R

Reference 27

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Observation b679ea19-945c-4dcb-964a-79bece1e2716 · outbound

This paper cites Reverse engineering of biochemical equations from time-course data by means of genetic programming.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Reverse engineering of biochemical equations from time-course data by means of genetic programming

Reference 28

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Cornforth and Hod Lipson

Reference 29

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery The automated discovery of kinetic rate models – methodological frameworks

Reference 30

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Machine learning uncovers analytical kinetic models of bioprocesses

Reference 31

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This paper cites Learning sparse nonlinear dynamics via mixed-integer optimization.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Learning sparse nonlinear dynamics via mixed-integer optimization

Reference 32

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Nathan Kutz, and Bingni W

Reference 33

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This paper cites Symbolic Regression is NP-hard.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Symbolic Regression is NP-hard

Reference 34

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Observation d18456dd-ba7d-422b-86f5-7b8070c7821f · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 35

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This paper cites Virtanen, R.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Virtanen, R

Reference 38

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Model Structure Identification, page 85–108

Reference 39

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Reference 40

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Hunter and Albey M

Reference 41

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Kronberger, F

Reference 42

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This paper cites Solving symbolic regression problems with formal constraints.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Solving symbolic regression problems with formal constraints

Reference 43

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Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Levenspiel

Reference 44

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This paper cites Schrecker, J.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Schrecker, J

Reference 45

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This paper cites Model-based design of transient flow experiments for the identification of kinetic parameters.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Model-based design of transient flow experiments for the identification of kinetic parameters

Reference 46

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Reference 47

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Observation 922592b2-c0d9-40c4-856c-072f129eb011 · outbound

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Reference 48

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Observation ca94ac70-261c-4760-b547-2cfdff1e62ab · outbound

This paper cites doi:https://doi.org/10.1016/j.ins.2008.07.029.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery doi:https://doi.org/10.1016/j.ins.2008.07.029

Reference 2008

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Observation 3b97a0d6-3694-4bb0-9b46-26a2367c71d2 · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 2023

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Pith citing papers

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