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Paper Citation Record · LEDGER

1D Kinetic Energy Density Functionals learned with Symbolic Regression

As of 15 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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measured 68 of 68 standing notices

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:33:22.215456Z

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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

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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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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verified fuzzy
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Source-reported events for the cited work

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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

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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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raw_fallback, observed 2026-08-11T18:14:19.729428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.489161Z digest=sha256:89c27a7b5ef0a28941309e73a12dad24919a8617308e99967b92d98bf0790bb4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.495321Z digest=sha256:6fb38044f951e788ce6c33fb9f41c2d0a601bb2e4619348e6d0925c0d15fdc19

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.500710Z digest=sha256:6d12055e07c62a45fd760ff97595478232ba8d90d5e61b004bde7351e5db63b2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.506889Z digest=sha256:5143e30176d379c99ab80a30c55d798f810d7bfff452f7bda2d3166129215996

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

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.512552Z digest=sha256:ca93198131105522bfc08f3b4889b6c5b72aeb2f25e14d483da57860b5402e8d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.518509Z digest=sha256:4f5c5d67b598d2d978779f369072565a9986d54104e8bb1d54906c1ac6e29cae

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.524305Z digest=sha256:586311974a7fe3336fb11eec43b2f46575d64257e6bcd788dd1f865cfd5727a2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.530697Z digest=sha256:db0c2b330a4a78fa5991ae7dc2cdac32f6311f1d6d514174bf5d4488d489f6b3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.536579Z digest=sha256:1a8b23016c40ffe7aa7e9d8e1f2a9643cf3e2612eb9f37d9d4962e08961233fe

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.541626Z digest=sha256:986ad96cd655695cdbe3519876dd71c504244cc7971d34286bd3a1ec7b0a00f2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.555276Z digest=sha256:ab7f437398660243d448a0fe07e07052d45d2f24a9d1311b4d67a45598482313

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.561253Z digest=sha256:ab421ec3e2bbd4228ab27655db3585b781d51751f718d0a4cadaf48a5a517689

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.570315Z digest=sha256:787720254cbc800a332d909d995540a636a7336a0795f76722c3c3397be3b277

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.576463Z digest=sha256:5234456728c39fad1f2f491f82881ee689c67e715a0f7a883761813285642b9d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.582613Z digest=sha256:667bf278244f6eb2fc80eafb682f631d94a8d8c70985e05a611779e3a7ccf85a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.588456Z digest=sha256:247ecbec7d4c4d0e75ff8d5fcbbb26e0f6892d68ba45281cc9ab9d9e8bd6dd13

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.594097Z digest=sha256:805c241efae5dd95470390f281acc21c8697be13eb9a8fd9f548c7348744ddf8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.599706Z digest=sha256:331c6195d8d95ee6f642f7c930ee6b7a4d7bab5abb9a9fb9c550f3c8f4f420ed

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.606001Z digest=sha256:3d48f2b7c28aee96d71ee0b98cc4109a6b7bcb6bc276a2ac351f8b782fd8eac2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.611674Z digest=sha256:989df5509f12c5d4e6c23bb20a573b665d7e30a0885ff78e1570eeda83bda73f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.617349Z digest=sha256:b309acfa16112e7794d76be1c00ef9787ec671520f2b9b1035d3803b8e5b749f

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:bba8b8095cddf4ac886e5dfc9b495e0f90c462f7dd4c21c40de463d7357caa8c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.628174Z digest=sha256:68ffba73b70d17a268ee7c9cdd4f77b86bc4d3a48b14257b84e7aea63ffcf27a

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=sha256:0b13aa6d25b7f8f1d4bf5f8fdd48f24926e5b3bbcc46b89bb211c938870fc7b8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.653452Z digest=sha256:afa055e3d793b87a43208143b43626dcd898485715366cf3f2131ec3d4439f22

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.663335Z digest=sha256:ffd3054c0ce5231e5cf3536bc11a731e90143ed8540fda82fbbaefb708a2d9f4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.669732Z digest=sha256:e7afe25619a213cf756e136014d4b493c8b871fee7740f5a65dc9d5bcd8d47fa

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.676306Z digest=sha256:ec7190689893c88878c9fb1fd0994fafd1dfa3447f89142c0263ae9e587c8c76

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.686107Z digest=sha256:5b5e55e29800170e72708eeef6bb7606d45b96339235e8a7f882cfa16434ecd8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.692949Z digest=sha256:fb028306a24394d6fff12e9d47ed4ab230ee54819c6b6460e09462688dfaf5b9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T18:14:18.699000Z digest=sha256:1db3d17dc83145d7be0dcf55bccaaf57eefc63750b449aa0e5dc7835d9c87fb5

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
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