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Paper Citation Record · LEDGER

1D Kinetic Energy Density Functionals learned with Symbolic Regression

As of 17 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2412.08143.

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pith.paper-citation-record.v1
2412.08143 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

67 of 67 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f6c839a-dcd0-4cea-be06-c47d7e76e1e6 · outbound

This paper cites Parr and W.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Parr and W

Reference 1

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Observation 6a31e795-7e72-49fc-a3b9-d1d3ba3f0425 · outbound

This paper cites Density functional theory: Its origins, rise to prominence, and future,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Density functional theory: Its origins, rise to prominence, and future,

Reference 2

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Observation acba107e-549a-4837-9db2-33e0730b3f22 · outbound

This paper cites Electronic- structure methods for materials design,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Electronic- structure methods for materials design,

Reference 3

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Observation b783e526-6210-40cc-ad48-3962ddcda35c · outbound

This paper cites Inhomogeneous electron gas,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Inhomogeneous electron gas,

Reference 4

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Observation 66339310-2dfa-4ac6-84f1-3e8e0c37f69f · outbound

This paper cites Ground-state densities from the Rayleigh-Ritz variation principle and from density- functional theory,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Ground-state densities from the Rayleigh-Ritz variation principle and from density- functional theory,

Reference 5

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Observation 812eba76-6a6b-4251-93b1-4ee3d746adc7 · outbound

This paper cites an unresolved cited work.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Unresolved cited work

Reference 6

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Observation aaa7c70c-2d96-41aa-929a-8c01f9c49814 · outbound

This paper cites A comprehensive library of functionals for density functional theory,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression A comprehensive library of functionals for density functional theory,

Reference 7

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Observation f80ee69b-282f-4f53-a251-4279ea586336 · outbound

This paper cites Self-consistent equations in- cluding exchange and correlation effects,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Self-consistent equations in- cluding exchange and correlation effects,

Reference 8

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Observation 0c213dd0-760b-4045-9bb1-12d9c203fd59 · outbound

This paper cites Orbital-free density functional theory: An attractive electronic structure method for large-scale first-principles simulations,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Orbital-free density functional theory: An attractive electronic structure method for large-scale first-principles simulations,

Reference 9

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Observation 32def322-44c4-4583-acba-8b6539a2dc8d · outbound

This paper cites Recent advancements and challenges in orbital-free density func- tional theory,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Recent advancements and challenges in orbital-free density func- tional theory,

Reference 10

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Observation e2b82571-1e38-4d79-a97d-d91ce4c1e5f1 · outbound

This paper cites Issues and challenges in orbital-free density functional calculations,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Issues and challenges in orbital-free density functional calculations,

Reference 11

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Observation c1fe664c-ec85-4640-b6d4-ce13f58ea884 · outbound

This paper cites Finding density functionals with machine learning,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Finding density functionals with machine learning,

Reference 12

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Observation f5d29a2e-31c5-45b4-850b-4bcbcb7ac227 · outbound

This paper cites Variational principle to regularize machine- learned density functionals: The non-interacting kinetic- energy functional,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Variational principle to regularize machine- learned density functionals: The non-interacting kinetic- energy functional,

Reference 13

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Observation da0aa7f0-f65d-4453-9b78-e4691a23ea97 · outbound

This paper cites Variational prin- ciple to regularize machine-learned density functionals: The non-interacting kinetic-energy functional,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Variational prin- ciple to regularize machine-learned density functionals: The non-interacting kinetic-energy functional,

Reference 14

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Observation e087aba0-c6b2-4f07-b87d-6d99055406ef · outbound

This paper cites Machine learning based nonlocal kinetic energy density functional for simple metals and alloys,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Machine learning based nonlocal kinetic energy density functional for simple metals and alloys,

Reference 15

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Observation 6ed1ad4d-2a94-4767-91d8-4365fea8d811 · outbound

This paper cites Overcoming the bar- rier of orbital-free density functional theory for molecular systems using deep learning,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Overcoming the bar- rier of orbital-free density functional theory for molecular systems using deep learning,

Reference 16

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Observation 421bf090-d87e-474e-b926-2732153585b3 · outbound

This paper cites Nonlinear gradient denoising: Finding accurate extrema from inaccurate functional derivatives,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Nonlinear gradient denoising: Finding accurate extrema from inaccurate functional derivatives,

Reference 17

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Observation e893b3a4-251b-4040-a4dd-e6b5872d428b · outbound

This paper cites Understanding machine-learned density func- tionals,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Understanding machine-learned density func- tionals,

Reference 18

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Observation 2c22e1da-0635-46aa-9400-df85d918fac3 · outbound

This paper cites Ma- chine Learning Approaches toward Orbital-free Den- sity Functional Theory: Simultaneous Training on the Kinetic Energy Density Functional and Its Functional Derivative,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Ma- chine Learning Approaches toward Orbital-free Den- sity Functional Theory: Simultaneous Training on the Kinetic Energy Density Functional and Its Functional Derivative,

Reference 19

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Source-reported events for the cited work

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Observation 9492e7c6-b479-4bfa-b5af-ff1507a86eb2 · outbound

This paper cites Order-N orbital-free density-functional calculations with machine learning of functional derivatives for semiconductors and metals,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Order-N orbital-free density-functional calculations with machine learning of functional derivatives for semiconductors and metals,

Reference 20

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Observation c51768af-693a-44a4-8039-693b20aca8e1 · outbound

This paper cites Toward Orbital-Free Density Functional Theory with Small Data Sets and Deep Learning,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Toward Orbital-Free Density Functional Theory with Small Data Sets and Deep Learning,

Reference 21

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Observation 405ab966-78a0-4560-8752-c002567aaf09 · outbound

This paper cites Physical content of the exact Kohn-Sham orbital energies: Band gaps and derivative discontinuities,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Physical content of the exact Kohn-Sham orbital energies: Band gaps and derivative discontinuities,

Reference 22

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Observation 24c691c2-efb4-4093-8356-d9516a3a96c2 · outbound

This paper cites An investigation of the performance of a hybrid of Hartree-Fock and density functional theory,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression An investigation of the performance of a hybrid of Hartree-Fock and density functional theory,

Reference 23

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Observation 1f6fdb39-f6e7-488f-a849-fe171bd90c8c · outbound

This paper cites an unresolved cited work.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Unresolved cited work

Reference 24

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Observation b3898fea-3d16-4e29-9ab0-796498d2f449 · outbound

This paper cites Locality principle in wave me- chanics,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Locality principle in wave me- chanics,

Reference 25

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Observation 6b316295-a7e7-4d1a-9b55-597b13216501 · outbound

This paper cites Machine Learning Force Fields,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Machine Learning Force Fields,

Reference 26

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Source-reported events for the cited work

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Observation f9af3aca-3aca-4bc8-90ba-e9318b8bdf7f · outbound

This paper cites The ONETEP linear-scaling density functional theory program,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression The ONETEP linear-scaling density functional theory program,

Reference 27

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Observation f3e5cf80-1238-40aa-9b3c-4e1c6bc8e199 · outbound

This paper cites The calculation of atomic fields,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression The calculation of atomic fields,

Reference 28

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Source-reported events for the cited work

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Observation e675b497-8df1-48c5-861e-8d961b91f9bc · outbound

This paper cites Un metodo statistico per la determinazione di alcune priorietá dell’atomo,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Un metodo statistico per la determinazione di alcune priorietá dell’atomo,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1630719d-add2-4d71-91d1-9c9be88ef961 · outbound

This paper cites Note on Exchange Phenomena in the Thomas Atom,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Note on Exchange Phenomena in the Thomas Atom,

Reference 30

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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 2026-08-17T06:30:58.91139+00:00.

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Observation c2b2e8c4-8482-4a5a-9f50-289cc44fe3f1 · outbound

This paper cites Zur theorie der kernmassen,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Zur theorie der kernmassen,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 26835732-dc72-4afd-b0e2-ba19d03a80f4 · outbound

This paper cites On the Weizsäcker Correc- tion to the Thomas-Fermi Theory of the Atom,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression On the Weizsäcker Correc- tion to the Thomas-Fermi Theory of the Atom,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 11162d5e-ad76-4307-8aba-89da458ed7e9 · outbound

This paper cites Quantum Corrections to the Thomas-Fermi Equation,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Quantum Corrections to the Thomas-Fermi Equation,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 43f37928-0c5e-4b67-9b88-08f0635267bb · outbound

This paper cites Image of the Fermi Surface in the Vibration Spectrum of a Metal,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Image of the Fermi Surface in the Vibration Spectrum of a Metal,

Reference 34

Resolution
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Observation e9c59511-5746-45a3-a591-4c09d0711c34 · outbound

This paper cites Generalized gradient approximation made simple,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Generalized gradient approximation made simple,

Reference 35

Resolution
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Observation 596de0f6-953f-447d-8fda-746b606dd999 · outbound

This paper cites Gradient expansion of the kinetic energy density functional: Local behavior of the kinetic energy density,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Gradient expansion of the kinetic energy density functional: Local behavior of the kinetic energy density,

Reference 36

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.500710Z digest=sha256:06d15e231a4c7f6243158ad4209d627d6214327af509bb7e4d7533f68b831939

Observation a9c02f68-4da4-4dc7-be06-c51b7e589492 · outbound

This paper cites Conjoint gradient cor- rection to the Hartree-Fock kinetic- and exchange-energy density functionals,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Conjoint gradient cor- rection to the Hartree-Fock kinetic- and exchange-energy density functionals,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.643633Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.506889Z digest=sha256:a7851c5950c523b2c4e7b4af64c50668f627314d301204349948dbb00dab2baa

Observation 6cb0bc16-31f8-4fe1-80cd-1e748ff8d557 · outbound

This paper cites Kinetic- energy functional of the electron density,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Kinetic- energy functional of the electron density,

Reference 38

Resolution
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Observation 0c8824d8-98bf-424d-a8f9-578af0d4a2eb · outbound

This paper cites Orbital-free kinetic- energy functionals for first-principles molecular dynam- ics,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Orbital-free kinetic- energy functionals for first-principles molecular dynam- ics,

Reference 39

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f081cce7-6836-4d20-8046-be7a6864f8aa · outbound

This paper cites Orbital- free kinetic-energy functionals for the nearly free electron gas,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Orbital- free kinetic-energy functionals for the nearly free electron gas,

Reference 40

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 669c0a54-d14a-44c5-89cf-2565da7e6a19 · outbound

This paper cites Hellmann-feynman, virial, andscalingrequisitesfortheexactuniversaldensityfunc- tionals. shape of the correlation potential and diamag- netic susceptibility for atoms,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Hellmann-feynman, virial, andscalingrequisitesfortheexactuniversaldensityfunc- tionals. shape of the correlation potential and diamag- netic susceptibility for atoms,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.550863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.530697Z digest=sha256:bed4dee29356c2b2c6fb57802b87cbac05e296a77db69319040e9bbcfc5f0839

Observation 4d1f2d23-2d42-4d64-b466-56f4b6da98d9 · outbound

This paper cites First-principlesmolec- ulardynamicsofliquidcesiumandrubidium,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression First-principlesmolec- ulardynamicsofliquidcesiumandrubidium,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.527202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.536579Z digest=sha256:579d2583bf46df2c5babfb900a903cb7501e70536e9804d66a14b1c09dcbad06

Observation 43012c7b-43f2-4aa6-911d-07bdeac91aff · outbound

This paper cites Ab initio pseudopotentials for orbital-free density functionals,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Ab initio pseudopotentials for orbital-free density functionals,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.506361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.541626Z digest=sha256:442052b2c9348c385010ac7104aa7c6fefb4962a0385c07aaf1f0ce05448e8d9

Observation 0909c81c-b926-4beb-a470-195f40f99ba4 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 44

Resolution
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no resolver link, observed 2026-08-11T18:14:18.547353Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:14:18.547353Z digest=sha256:da48f4121d54455c65053d6fee663bd327d67a770759e66b55dc4ab2e51be37e

Observation 854c04a3-4834-450f-bc2e-010892f92b4e · outbound

This paper cites Exact constraints and appropriate norms in machine-learned exchange- correlation functionals.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Exact constraints and appropriate norms in machine-learned exchange- correlation functionals

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.488163Z

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source=pdf_text observed=2026-08-11T18:14:18.555276Z digest=sha256:f10e06d1d158de282e6af897944b89e022979c860b97d9317092b74a6675df7c

Observation a06bab0e-4414-4129-975b-ad9b31cc6652 · outbound

This paper cites Generalizability of Functional Forms for Interatomic Potential Models Discovered by Symbolic Regression.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Generalizability of Functional Forms for Interatomic Potential Models Discovered by Symbolic Regression

Reference 46

Resolution
verified exact
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9f79c836-2deb-44ea-b896-7b6e8a78500b · outbound

This paper cites Evolv- ing symbolic density functionals,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Evolv- ing symbolic density functionals,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.466043Z

Source-reported events for the cited work

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Observation b350965f-416f-4533-a85b-a9da923810bd · outbound

This paper cites Interpretable scientific discov- ery with symbolic regression: a review,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Interpretable scientific discov- ery with symbolic regression: a review,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.447426Z

Source-reported events for the cited work

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Observation 9c0aefff-f3c6-4ac1-b6ff-943cc2f23cec · outbound

This paper cites Identifying models of dielec- tric breakdown strength from high-throughput data via genetic programming,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Identifying models of dielec- tric breakdown strength from high-throughput data via genetic programming,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.428477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 94354973-ddd3-455f-8574-53de8f7ec89e · outbound

This paper cites A functional analysis ap- proachtosymbolicregression,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression A functional analysis ap- proachtosymbolicregression,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.407568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2f5a9e7b-cd71-4d77-8339-9bff2549f884 · outbound

This paper cites Symbolic Regression is NP- hard,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Symbolic Regression is NP- hard,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.380298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 15d7af68-3f59-44bb-8e98-d19c1464e540 · outbound

This paper cites Fast, accurate, and transferable many- body interatomic potentials by symbolic regression,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Fast, accurate, and transferable many- body interatomic potentials by symbolic regression,

Reference 52

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation acf75017-d4a1-4367-bc69-af575c9e9df0 · outbound

This paper cites Artificialin- telligenceinphysicalsciences: Symbolicregressiontrends and perspectives,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Artificialin- telligenceinphysicalsciences: Symbolicregressiontrends and perspectives,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.302477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ee8dad9b-a5a0-4a51-b3a5-795add8f79bb · outbound

This paper cites Symbolic regression in materials science,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Symbolic regression in materials science,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.272160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.611674Z digest=sha256:3480f20eba46b4dac2a592e53d69742ed731c2d64fddc9b01a39af36e39bd5a2

Observation 1787883f-a45d-43b5-8962-78cc4cfffb05 · outbound

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

1D Kinetic Energy Density Functionals learned with Symbolic Regression AI Feynman: A physics-inspired method for symbolic regression,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.232142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.617349Z digest=sha256:479b927295cd9fc1e90e9023ed40bc7d6730a46c516ddb67013162386b29f8e2

Observation a07c9b5a-df51-42d1-8201-d740dd8aa0c7 · outbound

This paper cites Deep Generative Symbolic Regression.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Deep Generative Symbolic Regression

Reference 56

Resolution
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no resolver link, observed 2026-08-11T18:14:18.622320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:14:18.622320Z digest=sha256:2f8465677ae8537bebe5c861215c9613de211a904e709807ed29917b55f46c4c

Observation f80bf82d-4863-44dd-8766-195a7b60ae63 · outbound

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

1D Kinetic Energy Density Functionals learned with Symbolic Regression End-to-end symbolic regression with transformers,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.207649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.628174Z digest=sha256:01996aa1193081434804320a9e14296cb41e126f95aa143dd790e878c1136354

Observation e3fa8f7f-9915-4c9a-b49a-6ea43e487d73 · outbound

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

1D Kinetic Energy Density Functionals learned with Symbolic Regression Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 58

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:14:18.636001Z digest=sha256:01973b0030477253fb4f1d3927737b9527db3aa278fce5e11b8b2cc6627580e0

Observation 419bb65a-1ac0-475b-9024-3f377461daa2 · outbound

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

1D Kinetic Energy Density Functionals learned with Symbolic Regression A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming

Reference 59

Resolution
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no resolver link, observed 2026-08-11T18:14:18.643094Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:14:18.643094Z digest=sha256:3a6e3151d03479ae9da6824a10fb4a3a1ec1d3b87dc38e971f4b9b63b79309c4

Observation 212cfd6e-5258-4441-b105-a9eb270ecc58 · outbound

This paper cites Simu- lated annealing for symbolic regression,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Simu- lated annealing for symbolic regression,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.181492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.653452Z digest=sha256:1d31da165f45f226263c9318b13b4bf256e64f817f7b7509a53f622d208c0ec4

Observation fef0baf1-d759-4799-b452-22d4a3efa98d · outbound

This paper cites Machine learning and symbolic regression investigation on stability of MXene materials,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Machine learning and symbolic regression investigation on stability of MXene materials,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.158154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.663335Z digest=sha256:58213607773ead6f387a5a7a520b57653d5e8f754df95c4c5e040f108f2c5bef

Observation 306e62cd-a069-49df-8454-1eed30a575ed · outbound

This paper cites Symbolic regression in ma- terials science: Discovering interatomic potentials from 11 data,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Symbolic regression in ma- terials science: Discovering interatomic potentials from 11 data,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.134221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.669732Z digest=sha256:a01130fd014992aff1a6a9850c17dd3c5dea5ea556bacb559f65d7b082892133

Observation 6b380fc9-d896-4cee-886c-01ad6008eda8 · outbound

This paper cites Teschl,Ordinary Differential Equations and Dynami- cal Systems, Graduate studies in mathematics (American Mathematical Soc.).

1D Kinetic Energy Density Functionals learned with Symbolic Regression Teschl,Ordinary Differential Equations and Dynami- cal Systems, Graduate studies in mathematics (American Mathematical Soc.)

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.111308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.676306Z digest=sha256:ff2b9e849777988a59b23d21f04c85a0df6b794dbeb7a87d222f04f356d4618f

Observation 2e7e161c-ccb0-48e1-826a-c229361cbd51 · outbound

This paper cites Symbolic regression in mate- rials science via dimension-synchronous-computation,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Symbolic regression in mate- rials science via dimension-synchronous-computation,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.085022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.686107Z digest=sha256:2956662956ed6f41c50e8deb9ba6678b940be54ffede47d550ca5ca34e0bccf0

Observation 4f2c2d1a-a4b6-4874-8b84-885fb3d5c7d7 · outbound

This paper cites Various functionals for the kinetic energy density of an atom or molecule.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Various functionals for the kinetic energy density of an atom or molecule

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.063283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.692949Z digest=sha256:f17df3320d0523497eb1c2a56de4050e80cebf827c6e2caf0b9c6e68a5668e38

Observation 95a34ccb-201f-41b2-b7ae-fcb90d1c70d3 · outbound

This paper cites Machine-learning- based exchange correlation functional with physical asymptotic constraints,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Machine-learning- based exchange correlation functional with physical asymptotic constraints,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.043200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T18:14:18.699000Z digest=sha256:1092f9883c10aa1de34edbf3bbf457b40a48b2e388fe0b6183c90ebfef051f3a

Observation 426ecd7e-4a43-4bb1-997b-c6fbb772530e · outbound

This paper cites Quantifying behaviouraldistancebetweenmathematicalexpressions,.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Quantifying behaviouraldistancebetweenmathematicalexpressions,

Reference 67

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source=pdf_text observed=2026-08-11T18:14:18.704443Z digest=sha256:a39a315f1bf32a0eba4b2fa8f920a3974781b589c4375884e3f9a7006827734b

Pith citing papers

Observation 629a609e-33c9-47b3-a573-6cf9893e4c43 · inbound

Interpretable Analytic Calabi-Yau Metrics via Symbolic Distillation cites this paper.

Interpretable Analytic Calabi-Yau Metrics via Symbolic Distillation 1D Kinetic Energy Density Functionals learned with Symbolic Regression

Reference 45

Resolution
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no resolver link, observed 2026-08-03T03:33:22.215456Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:33:22.215456Z digest=sha256:5bc0dad6ca78a45f59ec92c8e7b0b43e55cf3bd6a2d48e99bff1ec58db80a761