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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 11 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.

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

53 of 53 outbound references displayed

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  • unresolved20
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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T05:02:19.727891Z digest=sha256:0428b7a156738e81cd87410c4a16f81d1e4f1e0d28f552bc48d7116c68a59937

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
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Source-reported events for the cited work

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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

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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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Source-reported events for the cited work

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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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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2e8e85ab-1147-4215-88d1-be13cd96db92 · 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 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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Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.828054Z digest=sha256:f2d7be96fa7ebcef920ffb0f82b08d36b81ecf57fd73a00fb42ea1146ff30886

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.831952Z digest=sha256:c19e6675671cfaaebe202cb9f8ed39e34e123659b8c3f5ec98b9ba5a154039cb

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.835862Z digest=sha256:7f9675acf645b5dd08b77b9152cab7c16f765eae2862da285cdf58850f552335

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.839848Z digest=sha256:81654bd5272e8b2d60e09582ab4a25d585f109f0158d4194b08e2c5fc8562f1e

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.843990Z digest=sha256:11e8facbcfe4212565f4d77ffca0ee6ad83308ed814c2594a46f366c6c5224fe

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.848497Z digest=sha256:012cf9b6a3e32baff78baadef0029d2abb8bf77a402ddd56d4bde81954f8c8f8

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.851998Z digest=sha256:929f1c09d7d9a869d427bed26d8f622e223eb8c98838332446e690eda6e8f459

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=sha256:539c5c580bf95180b8d49409e6b74582a64ed19a2e1690f856141e96a64d0820

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.859954Z digest=sha256:88b25b97d95842cccbfc2bfe0e420b72ad6e4e2dbb573c63135e9412054440fb

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.863852Z digest=sha256:b4a8cf062a4c6bd03feb8f732cd014e95c66b9b755bdebeea8b32789839474a2

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.867477Z digest=sha256:ddc33b4cb6a7bcd23d07f6c11a1c78b0b51f5c0359a64550241b94759d88debb

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.876166Z digest=sha256:c53b40c239800884e8da09d4c7110bca9ce7ef00570bec49096e8e80c2730640

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.884897Z digest=sha256:cd02eb1229fe11298abff6a1eb3afb35adcf94315ea575c93f624a7a70af1f56

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.889649Z digest=sha256:27fe351a0d80b75cec01e0306c7c68b8aedd0191e8cc4f3a5b605ec65fc77c51

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.893963Z digest=sha256:4e2d91cae2103ca8a53d0261b57d33d3b65c96ad230b21fea4a031bea913679a

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.898033Z digest=sha256:bf0bf1be07c2a9578268dba30080fff8230896bbb8a35bc017eb13f04893b5b8

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T05:02:19.901974Z digest=sha256:392ab7b552e21cbb27c645273717714beb865f2504a7c9bc0b7cc01be86ba136

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.