Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T05:02:19.905961Z
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
- verified exact2
- verified fuzzy31
- unresolved20
- parse uncertain0
- malformed identifier0
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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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.761532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.748288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.735557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.723755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.711134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T05:02:20.698951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 44fc2211-f1e6-4167-afef-e4d9b2992bfa · 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 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T05:02:20.687352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T05:02:20.674820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.663267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T05:02:20.229489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.651165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:02:19.727891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.639019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.627463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.613966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.601713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.589168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 48534603-8c76-4104-be20-0d061f1623c8 · 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 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T05:02:20.577054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b04a652b-0738-4323-85d7-7cf819e0ef22 · 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 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T05:02:20.564356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:02:19.762521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65a0fcad-901e-48b6-944f-541d9150b0d3 · 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 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T05:02:20.551009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47225d34-e324-4ff6-bb78-dd9b7846ad12 · outbound
This paper cites K.; Larma, M.
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.537337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.524245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:02:19.783885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.510964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.497514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2e8e85ab-1147-4215-88d1-be13cd96db92 · 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 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T05:02:20.485250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e3f2d9d4-0849-48da-b9e0-fb768bae3b54 · 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 30
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3702131c-98f7-4a25-87d3-89212ea1de82 · 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 31
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bab0f491-8f92-45b1-bf1b-45d609356e9a · outbound
This paper cites H.; Yu, B.
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.453158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a6029a45-0936-41d6-bb53-e7bcfe5da7c9 · 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 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T05:02:20.440302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.428874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T05:02:20.416494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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.
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 2026-08-10T06:31:04.303077+00:00.
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.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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 2026-08-10T06:31:04.303077+00:00.
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.
Pith citing papers
No inbound Pith citation observations are available.