Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:14:18.704443Z
Paper Citation Record · LEDGER
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:14:18.704443Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:33:22.215456Z
A source-named dated measurement, never combined with another source.
Source: cited_works
67 of 67 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8f6c839a-dcd0-4cea-be06-c47d7e76e1e6 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Parr and W
Reference 1
Source-reported events for the cited work
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Observation 6a31e795-7e72-49fc-a3b9-d1d3ba3f0425 · outbound
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Reference 2
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Observation acba107e-549a-4837-9db2-33e0730b3f22 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Electronic- structure methods for materials design,
Reference 3
Source-reported events for the cited work
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Observation b783e526-6210-40cc-ad48-3962ddcda35c · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Inhomogeneous electron gas,
Reference 4
Source-reported events for the cited work
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Observation 66339310-2dfa-4ac6-84f1-3e8e0c37f69f · outbound
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
Source-reported events for the cited work
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Observation 812eba76-6a6b-4251-93b1-4ee3d746adc7 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Unresolved cited work
Reference 6
Source-reported events for the cited work
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Observation aaa7c70c-2d96-41aa-929a-8c01f9c49814 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression A comprehensive library of functionals for density functional theory,
Reference 7
Source-reported events for the cited work
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Observation f80ee69b-282f-4f53-a251-4279ea586336 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Self-consistent equations in- cluding exchange and correlation effects,
Reference 8
Source-reported events for the cited work
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Observation 0c213dd0-760b-4045-9bb1-12d9c203fd59 · outbound
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
Source-reported events for the cited work
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Observation 32def322-44c4-4583-acba-8b6539a2dc8d · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Recent advancements and challenges in orbital-free density func- tional theory,
Reference 10
Source-reported events for the cited work
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Observation e2b82571-1e38-4d79-a97d-d91ce4c1e5f1 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Issues and challenges in orbital-free density functional calculations,
Reference 11
Source-reported events for the cited work
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Observation c1fe664c-ec85-4640-b6d4-ce13f58ea884 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Finding density functionals with machine learning,
Reference 12
Source-reported events for the cited work
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Observation f5d29a2e-31c5-45b4-850b-4bcbcb7ac227 · outbound
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
Source-reported events for the cited work
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Observation da0aa7f0-f65d-4453-9b78-e4691a23ea97 · outbound
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
Source-reported events for the cited work
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Observation e087aba0-c6b2-4f07-b87d-6d99055406ef · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Machine learning based nonlocal kinetic energy density functional for simple metals and alloys,
Reference 15
Source-reported events for the cited work
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Observation 6ed1ad4d-2a94-4767-91d8-4365fea8d811 · outbound
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
Source-reported events for the cited work
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Observation 421bf090-d87e-474e-b926-2732153585b3 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Nonlinear gradient denoising: Finding accurate extrema from inaccurate functional derivatives,
Reference 17
Source-reported events for the cited work
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Observation e893b3a4-251b-4040-a4dd-e6b5872d428b · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Understanding machine-learned density func- tionals,
Reference 18
Source-reported events for the cited work
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Observation 2c22e1da-0635-46aa-9400-df85d918fac3 · outbound
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
Source-reported events for the cited work
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Observation 9492e7c6-b479-4bfa-b5af-ff1507a86eb2 · outbound
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
Source-reported events for the cited work
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Observation c51768af-693a-44a4-8039-693b20aca8e1 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Toward Orbital-Free Density Functional Theory with Small Data Sets and Deep Learning,
Reference 21
Source-reported events for the cited work
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Observation 405ab966-78a0-4560-8752-c002567aaf09 · outbound
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
Source-reported events for the cited work
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Observation 24c691c2-efb4-4093-8356-d9516a3a96c2 · outbound
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
Source-reported events for the cited work
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Observation 1f6fdb39-f6e7-488f-a849-fe171bd90c8c · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Unresolved cited work
Reference 24
Source-reported events for the cited work
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Observation b3898fea-3d16-4e29-9ab0-796498d2f449 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Locality principle in wave me- chanics,
Reference 25
Source-reported events for the cited work
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Observation 6b316295-a7e7-4d1a-9b55-597b13216501 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Machine Learning Force Fields,
Reference 26
Source-reported events for the cited work
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Observation f9af3aca-3aca-4bc8-90ba-e9318b8bdf7f · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression The ONETEP linear-scaling density functional theory program,
Reference 27
Source-reported events for the cited work
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Observation f3e5cf80-1238-40aa-9b3c-4e1c6bc8e199 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression The calculation of atomic fields,
Reference 28
Source-reported events for the cited work
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Observation e675b497-8df1-48c5-861e-8d961b91f9bc · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Un metodo statistico per la determinazione di alcune priorietá dell’atomo,
Reference 29
Source-reported events for the cited work
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Observation 1630719d-add2-4d71-91d1-9c9be88ef961 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Note on Exchange Phenomena in the Thomas Atom,
Reference 30
Source-reported events for the cited work
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Observation c2b2e8c4-8482-4a5a-9f50-289cc44fe3f1 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Zur theorie der kernmassen,
Reference 31
Source-reported events for the cited work
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Observation 26835732-dc72-4afd-b0e2-ba19d03a80f4 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression On the Weizsäcker Correc- tion to the Thomas-Fermi Theory of the Atom,
Reference 32
Source-reported events for the cited work
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Observation 11162d5e-ad76-4307-8aba-89da458ed7e9 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Quantum Corrections to the Thomas-Fermi Equation,
Reference 33
Source-reported events for the cited work
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Observation 43f37928-0c5e-4b67-9b88-08f0635267bb · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Image of the Fermi Surface in the Vibration Spectrum of a Metal,
Reference 34
Source-reported events for the cited work
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Observation e9c59511-5746-45a3-a591-4c09d0711c34 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Generalized gradient approximation made simple,
Reference 35
Source-reported events for the cited work
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Observation 596de0f6-953f-447d-8fda-746b606dd999 · outbound
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
Source-reported events for the cited work
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Observation a9c02f68-4da4-4dc7-be06-c51b7e589492 · outbound
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
Source-reported events for the cited work
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Observation 6cb0bc16-31f8-4fe1-80cd-1e748ff8d557 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Kinetic- energy functional of the electron density,
Reference 38
Source-reported events for the cited work
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Observation 0c8824d8-98bf-424d-a8f9-578af0d4a2eb · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Orbital-free kinetic- energy functionals for first-principles molecular dynam- ics,
Reference 39
Source-reported events for the cited work
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Observation f081cce7-6836-4d20-8046-be7a6864f8aa · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Orbital- free kinetic-energy functionals for the nearly free electron gas,
Reference 40
Source-reported events for the cited work
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Observation 669c0a54-d14a-44c5-89cf-2565da7e6a19 · outbound
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
Source-reported events for the cited work
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Reference 42
Source-reported events for the cited work
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Observation 43012c7b-43f2-4aa6-911d-07bdeac91aff · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Ab initio pseudopotentials for orbital-free density functionals,
Reference 43
Source-reported events for the cited work
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Observation 0909c81c-b926-4beb-a470-195f40f99ba4 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Reference 44
Source-reported events for the cited work
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Observation 854c04a3-4834-450f-bc2e-010892f92b4e · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Exact constraints and appropriate norms in machine-learned exchange- correlation functionals
Reference 45
Source-reported events for the cited work
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Observation a06bab0e-4414-4129-975b-ad9b31cc6652 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Generalizability of Functional Forms for Interatomic Potential Models Discovered by Symbolic Regression
Reference 46
Source-reported events for the cited work
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Observation 9f79c836-2deb-44ea-b896-7b6e8a78500b · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Evolv- ing symbolic density functionals,
Reference 47
Source-reported events for the cited work
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Observation b350965f-416f-4533-a85b-a9da923810bd · outbound
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Reference 48
Source-reported events for the cited work
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Observation 9c0aefff-f3c6-4ac1-b6ff-943cc2f23cec · outbound
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
Source-reported events for the cited work
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Observation 94354973-ddd3-455f-8574-53de8f7ec89e · outbound
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Reference 50
Source-reported events for the cited work
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Observation 2f5a9e7b-cd71-4d77-8339-9bff2549f884 · outbound
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Reference 51
Source-reported events for the cited work
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Observation 15d7af68-3f59-44bb-8e98-d19c1464e540 · outbound
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Reference 52
Source-reported events for the cited work
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Observation acf75017-d4a1-4367-bc69-af575c9e9df0 · outbound
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Reference 53
Source-reported events for the cited work
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Observation ee8dad9b-a5a0-4a51-b3a5-795add8f79bb · outbound
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Reference 54
Source-reported events for the cited work
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Observation 1787883f-a45d-43b5-8962-78cc4cfffb05 · outbound
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Reference 55
Source-reported events for the cited work
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Observation a07c9b5a-df51-42d1-8201-d740dd8aa0c7 · outbound
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Reference 56
Source-reported events for the cited work
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Observation f80bf82d-4863-44dd-8766-195a7b60ae63 · outbound
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Reference 57
Source-reported events for the cited work
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Observation e3fa8f7f-9915-4c9a-b49a-6ea43e487d73 · outbound
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Reference 58
Source-reported events for the cited work
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Observation 419bb65a-1ac0-475b-9024-3f377461daa2 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
Reference 59
Source-reported events for the cited work
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Observation 212cfd6e-5258-4441-b105-a9eb270ecc58 · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Simu- lated annealing for symbolic regression,
Reference 60
Source-reported events for the cited work
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Observation fef0baf1-d759-4799-b452-22d4a3efa98d · outbound
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Reference 61
Source-reported events for the cited work
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Observation 306e62cd-a069-49df-8454-1eed30a575ed · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Symbolic regression in ma- terials science: Discovering interatomic potentials from 11 data,
Reference 62
Source-reported events for the cited work
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Reference 63
Source-reported events for the cited work
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Observation 2e7e161c-ccb0-48e1-826a-c229361cbd51 · outbound
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Reference 64
Source-reported events for the cited work
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Reference 65
Source-reported events for the cited work
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Observation 95a34ccb-201f-41b2-b7ae-fcb90d1c70d3 · outbound
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Reference 66
Source-reported events for the cited work
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Observation 426ecd7e-4a43-4bb1-997b-c6fbb772530e · outbound
1D Kinetic Energy Density Functionals learned with Symbolic Regression Quantifying behaviouraldistancebetweenmathematicalexpressions,
Reference 67
Source-reported events for the cited work
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Reference 45
Source-reported events for the cited work
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