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Paper Citation Record · LEDGER

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond

As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2502.03367.

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

pith.paper-citation-record.v1
2502.03367 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:02:19.905961Z

measured 53 of 53 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.

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

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8e4ce3e-312a-4260-ad3b-908f84af9ce6 · outbound

This paper cites Distilling free-form natural laws from experimental data.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Distilling free-form natural laws from experimental data

Reference 1

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Observation 193d5d9c-a263-443d-85f0-aad78eb15f74 · outbound

This paper cites O.; Jin, Y.; Moore, J.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond O.; Jin, Y.; Moore, J

Reference 2

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Observation 18ade3e0-99cd-40d3-b162-ec60c9bed075 · outbound

This paper cites Interpretable scientific discovery with symbolic regression: A review.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Interpretable scientific discovery with symbolic regression: A review

Reference 3

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Observation cd185e21-3cda-406f-8e20-45272a92d981 · outbound

This paper cites Rediscovering orbital mechanics with machine learning.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Rediscovering orbital mechanics with machine learning

Reference 4

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Observation b10af94e-1f37-4983-9d5b-dc1bb838646e · outbound

This paper cites A.; Mueller, T.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond A.; Mueller, T

Reference 5

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Observation b92928b1-76d2-4b97-8252-4c54d4919132 · outbound

This paper cites an unresolved cited work.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 6

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Observation 44fc2211-f1e6-4167-afef-e4d9b2992bfa · outbound

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SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 7

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Observation c8986c0f-965b-4461-8991-fed6b917b528 · outbound

This paper cites an unresolved cited work.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 8

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Observation 282ffa64-c273-4908-9720-9fb639cad868 · outbound

This paper cites Constructing parsimonious analytic models for dynamic systems via symbolic regression.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Constructing parsimonious analytic models for dynamic systems via symbolic regression

Reference 9

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Source-reported events for the cited work

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Observation df2b1b0e-92e7-4e45-adb6-012bc332a6e3 · outbound

This paper cites Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms

Reference 10

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Observation a63c47e0-0685-432d-ab84-b54547cb58f7 · outbound

This paper cites The Astronomical Revolution: Copernicus-Kepler-Borelli ; Routledge, 2013.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond The Astronomical Revolution: Copernicus-Kepler-Borelli ; Routledge, 2013

Reference 11

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Observation c92fa8d9-8026-49ab-b8d0-8d5e5e60e30b · outbound

This paper cites Symbolic Regression is NP-hard.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Symbolic Regression is NP-hard

Reference 12

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Observation d6b99afc-ebac-4d52-8d1b-8141301f5f1e · outbound

This paper cites L.; Proctor, J.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond L.; Proctor, J

Reference 13

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Observation b3be6da1-7385-4c3d-a28e-8f2bc419e5eb · outbound

This paper cites Numerical differentiation of noisy, nonsmooth data.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Numerical differentiation of noisy, nonsmooth data

Reference 14

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verified fuzzy
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Source-reported events for the cited work

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Observation bb3da2f0-4bfa-4a24-b4c2-4f27ae8c47b4 · outbound

This paper cites T.; Rubanova, Y.; Bettencourt, J.; Duvenaud, D.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond T.; Rubanova, Y.; Bettencourt, J.; Duvenaud, D

Reference 15

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Observation bd8c6d78-a619-4a52-b8a4-dcb6cea54e12 · outbound

This paper cites Data-driven discovery of the governing equations of dynamical systems via moving horizon optimization.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Data-driven discovery of the governing equations of dynamical systems via moving horizon optimization

Reference 16

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Observation 706e20e1-c571-4d3d-948f-44dee2c3e9e5 · outbound

This paper cites BACON : A Production System That Discovers Empirical Laws.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond BACON : A Production System That Discovers Empirical Laws

Reference 17

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Observation 48534603-8c76-4104-be20-0d061f1623c8 · outbound

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SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 18

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Observation b04a652b-0738-4323-85d7-7cf819e0ef22 · outbound

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SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 19

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Observation 966bc867-ba33-4366-a2b7-7c6ce8e9fb2c · outbound

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

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 20

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Observation 65a0fcad-901e-48b6-944f-541d9150b0d3 · outbound

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SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 21

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Observation d1c76539-849c-4214-a510-7d8cbcf4ba67 · outbound

This paper cites An Approach to Symbolic Regression Using Feyn.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond An Approach to Symbolic Regression Using Feyn

Reference 22

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Observation 47225d34-e324-4ff6-bb78-dd9b7846ad12 · outbound

This paper cites K.; Larma, M.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond K.; Larma, M

Reference 23

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Observation 7616d125-b630-44b6-9c72-619c5ec4d411 · outbound

This paper cites Learning equations for extrapolation and control.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Learning equations for extrapolation and control

Reference 24

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Observation d4b7744c-e69c-4190-b7b8-bbc843f8379d · outbound

This paper cites End-to-end symbolic regression with transformers.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond End-to-end symbolic regression with transformers

Reference 25

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Observation 30406594-7e41-438a-bc93-cc06c64d3779 · outbound

This paper cites AI Feynman: A physics-inspired method for symbolic regression.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond AI Feynman: A physics-inspired method for symbolic regression

Reference 26

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Observation 45d195eb-93bd-49b1-a007-a10f870885b6 · outbound

This paper cites V.; Miller, D.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond V.; Miller, D

Reference 27

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SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 29

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SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 30

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Observation 3702131c-98f7-4a25-87d3-89212ea1de82 · outbound

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SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 31

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Observation bab0f491-8f92-45b1-bf1b-45d609356e9a · outbound

This paper cites H.; Yu, B.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond H.; Yu, B

Reference 32

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SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 33

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Observation ec4850b4-10c4-42d0-9ca0-e8b4511e7395 · outbound

This paper cites Deep Learning [Chapter 5]; MIT Press, Cambridge, MA, USA, 2017; Vol.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Deep Learning [Chapter 5]; MIT Press, Cambridge, MA, USA, 2017; Vol

Reference 34

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

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Observation 3d381a10-940e-49a7-9c87-eccaf6414baf · outbound

This paper cites Using mutual information for selecting features in supervised neural net learning.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Using mutual information for selecting features in supervised neural net learning

Reference 35

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.828054Z digest=sha256:e863c64709a25e06c426eb88af2fb7106cff329910aa8c6833b9f56b43f40689

Observation f6a560db-5512-4cab-946d-50b47c77f3e0 · outbound

This paper cites A tutorial on kernel density estimation and recent advances.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond A tutorial on kernel density estimation and recent advances

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.404790Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.831952Z digest=sha256:44c10a93b9656c64757fa6368ceb3af885774f2967cbedb7336bba775fb1c06d

Observation 464f01ab-73fd-48ba-a3b1-02c987b83be8 · outbound

This paper cites M.; Papini, M.; Tirinzoni, A.; Restelli, M.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond M.; Papini, M.; Tirinzoni, A.; Restelli, M

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.392029Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.835862Z digest=sha256:ffe6f6733f68643ba7c45468403a94db100fb98529aff8e74193861de954c82b

Observation 56dd1680-6778-4465-beac-399232c5607e · outbound

This paper cites Toward an artificial intelligence physicist for unsupervised learning.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Toward an artificial intelligence physicist for unsupervised learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.379629Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.839848Z digest=sha256:24131c442febca3cefffd86feb6a3198f1477d8a4fba6ee3269b148111b3b044

Observation a32d68a0-725a-4de2-b810-13ab0c60795d · outbound

This paper cites Sure independence screening for ultrahigh dimensional feature space.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Sure independence screening for ultrahigh dimensional feature space

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.367351Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.843990Z digest=sha256:2c32388ddcd0e9c64bb44399339a29639e3c435b36c28383d316c34c8863f931

Observation ed274e1f-4e88-4f8d-89c0-513d620277d3 · outbound

This paper cites P.; Paprocki, M.; C ert \' k, O.; Kirpichev, S.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond P.; Paprocki, M.; C ert \' k, O.; Kirpichev, S

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.354420Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.848497Z digest=sha256:64f5649344306649cc6f25b92bf9bcf229176ea8035397ad9e1856c91d1f5315

Observation fd1b1031-e4f9-4b7d-b53d-a7fe5f1bd22c · outbound

This paper cites Discovery of nonlinear dynamical systems using a Runge--Kutta inspired dictionary-based sparse regression approach.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Discovery of nonlinear dynamical systems using a Runge--Kutta inspired dictionary-based sparse regression approach

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.342294Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.851998Z digest=sha256:c99c650eb0bac1688c6f0d233c6251af906fb6c87127750823b48226971359a8

Observation 15c35e04-fc7e-4d1f-8635-c5585de70c0e · outbound

This paper cites Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T05:02:19.855709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:02:19.855709Z digest=sha256:fede8a2b01f70d88b99ad30467d3d2e57b3a785ec3b5a7c98b524230cb7fa3ca

Observation 8e20d0f2-51f8-49a0-bf95-74d13a406635 · outbound

This paper cites Operon C++ an efficient genetic programming framework for symbolic regression.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Operon C++ an efficient genetic programming framework for symbolic regression

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.330079Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.859954Z digest=sha256:c181315d77e9bb2a548f920f91a866629204925d31a27eb2c106daeea208e402

Observation 81b1f15f-a16a-4084-9b12-1ae6da32c42e · outbound

This paper cites Evolutionary computation in the chemical industry.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Evolutionary computation in the chemical industry

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.318013Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.863852Z digest=sha256:fee6b7b18d2e8ec7b146ce5d5fc8c5e59089991e5f10085f288ed531ae06c266

Observation cb7a44be-36ec-4b5f-a862-bf7775418ad9 · outbound

This paper cites 2010; https://web.archive.org/web/20120628140646/http://casnew.iti.upv.es/index.php/evocompetitions/105-symregcompetition, Accessed: 2024-09-12.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond 2010; https://web.archive.org/web/20120628140646/http://casnew.iti.upv.es/index.php/evocompetitions/105-symregcompetition, Accessed: 2024-09-12

Reference 45

Resolution
verified exact
raw_fallback, observed 2026-08-09T05:02:20.141648Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.867477Z digest=sha256:350e984c6a9225c39918124c0efb64e067ca692f77e7bff6bc179fdd9b0ec1ba

Observation 88a93bcd-20f1-4f20-9c3e-eb7a7ac03374 · outbound

This paper cites A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T05:02:19.871748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:02:19.871748Z digest=sha256:eea009c6fcaa0f0077e285049aff81c98f970b0ee7a2faec6b82238efb002c09

Observation dd41b1a7-6a35-4f97-8ead-5235c73269e3 · outbound

This paper cites an unresolved cited work.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-09T05:02:20.306529Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.876166Z digest=sha256:37ef67c921e5ef70ac4cc9788b43c623720dcff5a67402ad7ec04e05c2202e81

Observation 06c5306c-e0c3-4115-902a-f8e1a4a44eee · outbound

This paper cites PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T05:02:19.880485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:02:19.880485Z digest=sha256:d1e5891c8fc8168b0488614fa0cceb67444cb6fd172cd4e195e9baa779948f1a

Observation abd931cd-1be8-498c-a7bc-50c5bdac98b9 · outbound

This paper cites N.; Brunton, B.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond N.; Brunton, B

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.293274Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.884897Z digest=sha256:329a595f117693e4c55c83b2324f93bd75531ce26ee899a79890239060891b5a

Observation e3b059e2-65e9-4c9d-ae10-31c7c55adef0 · outbound

This paper cites R.; Houser, A.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond R.; Houser, A

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.280194Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.889649Z digest=sha256:fe6d50aee5e15e5dd447534f2380156431b218f350f9015be87d058476be0235

Observation fd521124-e365-4d0c-9ae9-0dfb0ba8ba66 · outbound

This paper cites P.; G \'o mez-Bombarelli, R.; Tong, L.; Gordon, R.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond P.; G \'o mez-Bombarelli, R.; Tong, L.; Gordon, R

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.267024Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.893963Z digest=sha256:3feeafd51ee50f8b46a55e6e553a487e8f0bfa8c65e8943e0b036a666ea67d25

Observation 0ff3060d-4a80-45a3-ac8c-75d07a296c26 · outbound

This paper cites an unresolved cited work.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-09T05:02:20.253877Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.898033Z digest=sha256:a4d55562f1ccd8b20d9a5d7fa7e73d6a7b2e957b95662e821661b4eea14e8f59

Observation 003fb1ef-ce4b-43f8-917f-c1282f3b8c7f · outbound

This paper cites The Journal of Machine Learning Research 2011, 12, 2825--2830.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond The Journal of Machine Learning Research 2011, 12, 2825--2830

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:02:20.241068Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T05:02:19.901974Z digest=sha256:57fb85113a0617fd80459241d8ee4b3a944e1862720e0266b12afd25da26a183

Observation 6cd5f948-7dc5-40e9-b7d8-f3ac8036ea16 · outbound

This paper cites Globally Optimal Symbolic Regression.

SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Globally Optimal Symbolic Regression

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-09T05:02:19.905961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:02:19.905961Z digest=sha256:558b44925219d99ae3f063b4c2fed727d09192486273540fa3b8a97ef0d8c29a

Pith citing papers

No inbound Pith citation observations are available.