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Paper Citation Record · LEDGER

1D Kinetic Energy Density Functionals learned with Symbolic Regression

As of 18 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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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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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

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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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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

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

Reference 28

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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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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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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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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

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

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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 2026-08-18T06:34:40.430872+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
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.712553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.489161Z digest=sha256:724cd866ac087da9f77a4c0e7727fa2d443bddda8d9b3dda2ef6c981b585ca14

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
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.691546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.495321Z digest=sha256:ea9034f25c4eb891bd3169dbddc8c734ce26093616832596fe7e902635368e9e

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
raw_fallback, observed 2026-08-11T18:14:19.669155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.500710Z digest=sha256:46b48b912104119454ae33e4f3c15d6a29c0309732a452691e5e7c17401ba7d7

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.506889Z digest=sha256:5a4e1dcba99d60a82db46ac31548b774e31e78f2bda89b98774b1380e3e6d3d6

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
verified fuzzy
raw_fallback, observed 2026-08-11T18:14:19.622915Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T18:14:18.512552Z digest=sha256:0d5653741f0dae7f610f551b4de37b151aca256089fefa0fbff8116fa3cfa351

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
raw_fallback, observed 2026-08-11T18:14:19.603031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.518509Z digest=sha256:ef702c0f06880fa24c917a3596c7818cded8b8c19d7e1f99416c32d24902ad78

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
raw_fallback, observed 2026-08-11T18:14:19.577456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.524305Z digest=sha256:45d6b5b4b68a5a1f7183e4b57e6853728f52a1d9b5d533e858c1095371e2f4a1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.530697Z digest=sha256:a77c2e4e96931e436664bee4d450f5658f575eae4fa1fa9499cb14da9a2838a2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.536579Z digest=sha256:9eb9f1416a1c2718c3cbe44d0e7a40d83dda54e869959be81cc9e5e514363ae5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.541626Z digest=sha256:e4fbc83cdedff86b0a26fa4d824949d7c935af09b721cc61206009976e09d8f1

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

Source-reported events for the cited work

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.555276Z digest=sha256:e1e61c15c9a56bf1d1994c0e4068f848bf132927ae97efcd4af7183c4b8b339d

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
local_arxiv, observed 2026-08-11T18:14:19.001955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.561253Z digest=sha256:1378d77902802aa171f6d0acd51b0a5675a788a490d6fb7e7dd2c9bec59ae2f4

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.570315Z digest=sha256:affebe4fe124fab415e6aeed586790a8c1585830f5d93686eb015dc36c9dcf62

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.576463Z digest=sha256:5ce0f0210924d08cead274b01439fd9098c5cb383aa90c3439343c2746a7807d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.582613Z digest=sha256:523a8e0ceca105dd4f15fe882b76f3e5defedab36fd7c702175e5365afbb602e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.588456Z digest=sha256:ba1d97c959c5575ddb63eaff8a5fe8b0ba2d6a0fd165d7fa50a9092c2afe57e2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.594097Z digest=sha256:881a029f62d3ef233e4c58632ec9f4cca332e5083f9dff60c798316c78b23034

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
raw_fallback, observed 2026-08-11T18:14:19.351553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.599706Z digest=sha256:c622b40611f1c37fccda6bfbe951d9869c393bad369f49b15f2a70b446b0f152

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.611674Z digest=sha256:bbc0856126e21e235aad46919bc65c03b46d0d1b2f7fdbd6e35d3a52c538a742

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.617349Z digest=sha256:58b433dbeb3f6349f5cc96fcac2de0c4128d73a51f0288ae63c53c288cc4ded1

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
unresolved
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=sha256:62f9cb2a057acb65786c695b75d67cf6b6dcbadacbb39d143d90237aafa44007

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.628174Z digest=sha256:a4903d1da136868062f868331561b9b692f112f28c0c10bd9124f1b7e9f0172a

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
unresolved
no resolver link, observed 2026-08-11T18:14:18.636001Z

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

Source-reported events for the cited work

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.653452Z digest=sha256:6a5bbe00e78e92fdd6b12f71f825f1be6ed566e47e232b29945590b5f957c2bc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.663335Z digest=sha256:92d1ff82abaef504fc855174223f90094f02b8d4d975abd68c169a2844d85234

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.669732Z digest=sha256:b991dffe64586195d4aa297e424b127a16e8ff5ddf56d325ac30333c3eebfd22

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.676306Z digest=sha256:646ea4485186f234a907ac5fec9f31193b688618cc9e4ed1ff28b894099d83bb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.686107Z digest=sha256:900e2973da92309de02ac47f58db3b6ba01ae6152ab69b7d95e22ae1f0b418e6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.692949Z digest=sha256:dafae1526fe630f71792ddb91b0bbe11b0682efd929dc413f193c53ddf910ecf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:14:18.699000Z digest=sha256:7d016a68e349f45b664bf2c4e786876da9c2e321bb283e72456f03afbe7c2831

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

Resolution
unresolved
no resolver link, observed 2026-08-11T18:14:18.704443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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