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Paper Citation Record · LEDGER

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory

As of 16 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:1908.06198.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.06198 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:58:43.029340Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

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External citation measurements

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Outbound references

Observation eb08e311-6ca5-4013-b4a3-77b01e3f1758 · outbound

This paper cites Inhomogeneous electron gas,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Inhomogeneous electron gas,

Reference 1

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Observation 0698eaa6-44a8-4d43-b94c-128367dbc4bf · outbound

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

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Self-consistent equations in- cluding exchange and correlation effects,

Reference 2

Resolution
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Observation e7dd38d6-4019-44f1-a73d-8b253c5e02a1 · outbound

This paper cites Since the ground-state problem of the Hamiltonian H(x1,x 2) can be treated as a one- particle problem in two dimensions, the problem can be solved exactly.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Since the ground-state problem of the Hamiltonian H(x1,x 2) can be treated as a one- particle problem in two dimensions, the problem can be solved exactly

Reference 3

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Observation 33965e29-dc06-4a51-8241-fdd648b715b4 · outbound

This paper cites Jacob’s ladder of density functional approximations for the exchange-correlation energy,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Jacob’s ladder of density functional approximations for the exchange-correlation energy,

Reference 4

Resolution
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Observation 77ef8124-68cd-40c8-b3e5-a9647c59b82d · outbound

This paper cites Ground state of the electron gas by a stochastic method,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Ground state of the electron gas by a stochastic method,

Reference 5

Resolution
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Source-reported events for the cited work

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Observation 53266840-0b0b-4fa7-8d63-e4061fb20a36 · outbound

This paper cites Calculated electron affini- ties of the elements,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Calculated electron affini- ties of the elements,

Reference 6

Resolution
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Observation b61e9d05-d8e6-4b55-9ab0-45edf8cb06ba · outbound

This paper cites Accurate spin- dependent electron liquid correlation energies for local spin density calculations: a critical analysis,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Accurate spin- dependent electron liquid correlation energies for local spin density calculations: a critical analysis,

Reference 7

Resolution
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Source-reported events for the cited work

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Observation 1f9941d1-7d4c-4de8-85c8-1f24a192e7f5 · outbound

This paper cites Generalized gradient approximation made simple,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Generalized gradient approximation made simple,

Reference 8

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b9c7006-a687-4529-9e98-978421ad31b9 · outbound

This paper cites Accurate and simple an- alytic representation of the electron-gas correlation en- ergy,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Accurate and simple an- alytic representation of the electron-gas correlation en- ergy,

Reference 9

Resolution
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Source-reported events for the cited work

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Observation fc64cddc-98fd-4b2a-abaf-ad324c89b0db · outbound

This paper cites Accurate first-principles struc- tures and energies of diversely bonded systems from an efficient density functional,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Accurate first-principles struc- tures and energies of diversely bonded systems from an efficient density functional,

Reference 10

Resolution
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Observation 0145db91-cdbe-45b9-ae72-490971d6d0a1 · outbound

This paper cites Generalized gra- dient approximation for the exchange-correlation hole of a many-electron system,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Generalized gra- dient approximation for the exchange-correlation hole of a many-electron system,

Reference 11

Resolution
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Source-reported events for the cited work

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Observation a9f5e597-b69a-42b7-932c-c3dd060dac4d · outbound

This paper cites Rationale for mixing exact exchange with density functional ap- proximations,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Rationale for mixing exact exchange with density functional ap- proximations,

Reference 12

Resolution
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Observation 8bff8c74-dd95-448b-9eae-cb5f44304952 · outbound

This paper cites A new mixing of Hartree–Fock and lo- cal density-functional theories,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory A new mixing of Hartree–Fock and lo- cal density-functional theories,

Reference 13

Resolution
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Observation 1748bd43-2d3d-4e29-a7b2-5dfe1714784e · outbound

This paper cites Recent developments in libxc — A comprehensive library of functionals for density func- tional theory,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Recent developments in libxc — A comprehensive library of functionals for density func- tional theory,

Reference 14

Resolution
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Source-reported events for the cited work

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Observation 1acee482-1d88-4f91-8dd7-0297a4ee17ce · outbound

This paper cites Toward reliable density functional methods without adjustable parameters: The PBE0 model,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Toward reliable density functional methods without adjustable parameters: The PBE0 model,

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 6c880571-c0da-4134-8893-a19c3e3ce570 · outbound

This paper cites Insights into current limitations of density functional theory,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Insights into current limitations of density functional theory,

Reference 16

Resolution
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Observation 00de6554-8613-498a-af94-d30989120165 · outbound

This paper cites Perspective: Fifty years of density- functional theory in chemical physics,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Perspective: Fifty years of density- functional theory in chemical physics,

Reference 17

Resolution
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Observation 0336b786-da93-4b45-96b9-cc0f6c8c5ce4 · outbound

This paper cites Self-consistent hybrid functional for condensed systems,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Self-consistent hybrid functional for condensed systems,

Reference 18

Resolution
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Source-reported events for the cited work

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Observation a265b3d8-75c0-4d4a-bb9e-c0511fb9913b · outbound

This paper cites Fractional spins and static correlation error in density functional theory,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Fractional spins and static correlation error in density functional theory,

Reference 19

Resolution
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Observation 0e7c1023-dac1-4708-80fb-97100b54a855 · outbound

This paper cites Facial expression recognition method based on gabor wavelet features and fractional power polynomial kernel PCA,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Facial expression recognition method based on gabor wavelet features and fractional power polynomial kernel PCA,

Reference 20

Resolution
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Observation 165f1763-6c96-4fdc-a2f3-2625eb25bc0f · outbound

This paper cites Towards a formal definition of static and dy- namic electronic correlations,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Towards a formal definition of static and dy- namic electronic correlations,

Reference 21

Resolution
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Observation 15cea448-2dad-45b4-925b-a19441f443f5 · outbound

This paper cites Machine learning for molecular and ma- terials science,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Machine learning for molecular and ma- terials science,

Reference 22

Resolution
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Observation eb49c6fd-28f2-4409-9013-26408752f72d · outbound

This paper cites Waibel and K.-F.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Waibel and K.-F

Reference 23

Resolution
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Observation 51a90133-4417-4054-b37e-1fb7740678b0 · outbound

This paper cites Big data of materials science: Criti- cal role of the descriptor,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Big data of materials science: Criti- cal role of the descriptor,

Reference 24

Resolution
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Observation 054682c0-21dc-4203-881f-36299d58e315 · outbound

This paper cites Recent advances and applications of machine learning in solid-state materials science,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Recent advances and applications of machine learning in solid-state materials science,

Reference 25

Resolution
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Observation ff271df8-bf98-4fb2-a742-d9285f9607fc · outbound

This paper cites Finding density functionals with machine learning,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Finding density functionals with machine learning,

Reference 26

Resolution
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Source-reported events for the cited work

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Observation 3866559f-0a29-47d9-b0c3-d4042eb27a57 · outbound

This paper cites Exchange-correlation potentials,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Exchange-correlation potentials,

Reference 27

Resolution
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Observation 7029edd7-ee75-4ac0-9253-1699466e4f7f · outbound

This paper cites Kinetic Energy of Hydrocar- bons as a Function of Electron Density and Convolutional Neural Networks,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Kinetic Energy of Hydrocar- bons as a Function of Electron Density and Convolutional Neural Networks,

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 70758a00-e143-4c1c-a639-13de51ed7814 · outbound

This paper cites Orbital-free bond breaking via machine learning,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Orbital-free bond breaking via machine learning,

Reference 29

Resolution
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Source-reported events for the cited work

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Observation 8ca50364-f178-4f4c-994d-32b8b47703d6 · outbound

This paper cites rameters.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory rameters

Reference 30

Resolution
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Source-reported events for the cited work

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Observation 98dbe884-1b14-4ea9-951e-d346590ca260 · outbound

This paper cites Bypassing the Kohn-Sham equations with machine learning,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Bypassing the Kohn-Sham equations with machine learning,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 57caa8d1-bf31-43cf-b803-3418e1f9ca36 · outbound

This paper cites Improving the performance of long-range- corrected exchange-correlation functional with an embed- ded neural network,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Improving the performance of long-range- corrected exchange-correlation functional with an embed- ded neural network,

Reference 32

Resolution
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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 832783b1-acd3-4e25-aa35-97b5e60dbca8 · outbound

This paper cites Neural-network Kohn-Sham exchange-correlation po- tential and its out-of-training transferability,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Neural-network Kohn-Sham exchange-correlation po- tential and its out-of-training transferability,

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 1765ab81-356c-4d4e-ba90-b93129ff02fc · outbound

This paper cites mBEEF-vdW: Robust fitting of error estimation density functionals,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory mBEEF-vdW: Robust fitting of error estimation density functionals,

Reference 34

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source=pdf_text observed=2026-08-14T12:58:42.926333Z digest=sha256:0d44f513a14b3f9d6a354b15d3c1bf4b3b5ec302a416cfb15cbae70cf0bae2f6

Observation 660a26b5-fa02-4dc8-aa9e-17f62d92049b · outbound

This paper cites Density functionals for surface science: Exchange-correlation model development with bayesian error estimation,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Density functionals for surface science: Exchange-correlation model development with bayesian error estimation,

Reference 35

Resolution
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raw_fallback, observed 2026-08-14T12:58:43.405981Z

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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=2026-08-14T12:58:42.930046Z digest=sha256:2a39eb882230dc2a931403cccbe11da3b23dcd7316e6f69958544c37a6d2cc78

Observation b0d21d91-ee02-4dee-90e3-422a79f39c12 · outbound

This paper cites Pure density functional for strong correlation and the thermo- dynamic limit from machine learning,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Pure density functional for strong correlation and the thermo- dynamic limit from machine learning,

Reference 36

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 97839603-f51d-406c-a6d8-180995b241b6 · outbound

This paper cites Derivation and application of an accurate Kohn-Sham potential with in- teger discontinuity,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Derivation and application of an accurate Kohn-Sham potential with in- teger discontinuity,

Reference 37

Resolution
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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.

source=pdf_text observed=2026-08-14T12:58:42.938013Z digest=sha256:287e72f84189813289e55b94f599b00018198f582dc295f3e9bcb83df2fa7083

Observation 9a5143c1-8b4e-40c6-943c-4d68386bdaf7 · outbound

This paper cites A variational approach to the unipotential many-electron problem,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory A variational approach to the unipotential many-electron problem,

Reference 38

Resolution
verified fuzzy
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source=pdf_text observed=2026-08-14T12:58:42.941791Z digest=sha256:7f4033e2bc87705b94682c44da1d30e1b0ab67dc1ba4a8ac6e8cba5fe2084df3

Observation 70715c5b-f051-4819-9b62-892f338189e6 · outbound

This paper cites Optimized effective atomic central potential,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Optimized effective atomic central potential,

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T12:58:42.945683Z digest=sha256:3040ebf10a3a092f3302f44c33ccd96d6f67af7aafeaaa7d54a37bebaed07e26

Observation 5cadd6b1-2b46-455c-bf28-3db41d5a7868 · outbound

This paper cites Exchange-corre- lation potential with correct asymptotic behavior,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Exchange-corre- lation potential with correct asymptotic behavior,

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T12:58:42.949552Z digest=sha256:c43b9664c500f6bddd4444d43d1bd0af49738610fbaff60c24ad0252239dbd82

Observation deb2ee00-77cb-4345-9cdc-c6ad1d24c9bf · outbound

This paper cites A simple effective po- tential for exchange,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory A simple effective po- tential for exchange,

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T12:58:42.953243Z digest=sha256:f2dfddd5f62c8e8c11b3013f0ec0878dfdf233aa9709925d6513932b736eea61

Observation fe5d5052-4394-4811-9d8b-f72a7dc2b145 · outbound

This paper cites Accurate Band Gaps of Semi- conductors and Insulators with a Semilocal Exchange- Correlation Potential,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Accurate Band Gaps of Semi- conductors and Insulators with a Semilocal Exchange- Correlation Potential,

Reference 42

Resolution
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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=2026-08-14T12:58:42.956962Z digest=sha256:77979c17038f7eae5d05bf19b2646a2a81b2f4fda321e52f11821d5cf6b9836c

Observation 0597e2b3-c17e-4282-8fe0-72f8c9888521 · outbound

This paper cites How to tell when a model Kohn–Sham potential is not a functional deriva- tive,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory How to tell when a model Kohn–Sham potential is not a functional deriva- tive,

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T12:58:42.960683Z digest=sha256:b2b8db0720ec645b3ba2f73df011d8896c922338c6b85cc19d95c0372aee3b45

Observation 7ceb14d7-458c-47b7-a8b5-a3aab62f3aa3 · outbound

This paper cites Large-Scale Benchmark of Ex- change–Correlation Functionals for the Determination of Electronic Band Gaps of Solids,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Large-Scale Benchmark of Ex- change–Correlation Functionals for the Determination of Electronic Band Gaps of Solids,

Reference 44

Resolution
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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.

source=pdf_text observed=2026-08-14T12:58:42.965056Z digest=sha256:26ee58089e5ab305c3b8bbcf6d652c3f657ecb393cd1f567afeba6688bcd8bf7

Observation 4eb01ac8-3708-4d1e-82e1-3f7ec6e6eb8e · outbound

This paper cites Automatic differentiation in pytorch,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Automatic differentiation in pytorch,

Reference 45

Resolution
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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 bfa078f9-345f-4ac5-991a-ff20c2557ae2 · outbound

This paper cites TensorFlow: Large-scale machine learning on heterogeneous systems,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory TensorFlow: Large-scale machine learning on heterogeneous systems,

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation f8d2e4a1-5f86-4be2-ac21-77f282b5312a · outbound

This paper cites Completing density functional theory by machine-learning hidden messages from molecules.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Completing density functional theory by machine-learning hidden messages from molecules

Reference 47

Resolution
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Observation f83b5ae6-918a-44fe-8d32-d678c2337a10 · outbound

This paper cites Reference electronic structure calculations in one dimension,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Reference electronic structure calculations in one dimension,

Reference 48

Resolution
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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 98ad8786-8b2b-4c64-87ea-c8e8f283adbd · outbound

This paper cites Real-space grids and the Octo- pus code as tools for the development of new simulation approaches for electronic systems,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Real-space grids and the Octo- pus code as tools for the development of new simulation approaches for electronic systems,

Reference 49

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation bca953ee-b192-44cd-8f52-54a28edd65a6 · outbound

This paper cites Numerical methods for the inverse problem of density functional theory,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Numerical methods for the inverse problem of density functional theory,

Reference 50

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T12:58:42.987852Z digest=sha256:055cae023547ed3766c3ec2489477ce075eabbf2d9e770ce28b96c6610ba5a4e

Observation 63205458-b0a3-4019-af9e-41d5ebf7e450 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 51

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:58:42.991811Z digest=sha256:39b09bc0d9dc730e100cc0072ee3091c40969ee7bc9fc5577d78c0530a8f0386

Observation 0ac93fbb-51b0-455c-ab77-c0ae8632b603 · outbound

This paper cites an unresolved cited work.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Unresolved cited work

Reference 52

Resolution
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raw_fallback, observed 2026-08-14T12:58:43.210250Z

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 dda4d429-40c7-443e-8d12-9ca123f12437 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Adam: A Method for Stochastic Optimization

Reference 53

Resolution
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no resolver link, observed 2026-08-14T12:58:43.000699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:58:43.000699Z digest=sha256:d48ff37dcf7b853b6ceccdf53d07e2111ecbfcdc89cbd081578b6c8816348774

Observation 1f9c7f9b-85d3-4ac1-8819-5b163ce9c1ac · outbound

This paper cites Revisiting Small Batch Training for Deep Neural Networks.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Revisiting Small Batch Training for Deep Neural Networks

Reference 54

Resolution
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no resolver link, observed 2026-08-14T12:58:43.004655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:58:43.004655Z digest=sha256:e116c73c1e44acada41771b20a13740a8b82c7a89bdc6a18efa89f56f84aeee0

Observation d61d7155-5aad-46d1-80c6-e7256316f307 · outbound

This paper cites Goodfellow, Y.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Goodfellow, Y

Reference 55

Resolution
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no resolver link, observed 2026-08-14T12:58:43.008835Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:58:43.008835Z digest=sha256:2693d99fba6af057a3bb378e0d7c683eb027efedce8dc2429c7cb407b6aeb3fb

Observation 6c5fce5c-05c7-4713-a25d-323e0c718d24 · outbound

This paper cites Density functional theory beyond the linear regime: Validating an adiabatic local density approximation,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Density functional theory beyond the linear regime: Validating an adiabatic local density approximation,

Reference 56

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-14T12:58:43.012686Z digest=sha256:2ae7e9f8fa51b9fca175ac12880e3b61ff55a4eacb00fb4b1e8005c5b39cf89a

Observation bd20db91-1ffc-4c53-9c36-f09ccd5e3c7f · outbound

This paper cites MN15-L: A New Local Exchange-Correlation Functional for Kohn–Sham Density Functional Theory with Broad Accuracy for Atoms, Molecules, and Solids,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory MN15-L: A New Local Exchange-Correlation Functional for Kohn–Sham Density Functional Theory with Broad Accuracy for Atoms, Molecules, and Solids,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:58:43.174122Z

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=2026-08-14T12:58:43.016820Z digest=sha256:f3ebb7024309b1ea4a9dfe1977beec192b5f46b9132a8894800f2a206bd39a66

Observation 7b4495c3-0646-4166-9582-b5cb1c07a8f4 · outbound

This paper cites MN15: A Kohn–Sham global-hybrid exchange–correlation density functional with broad accuracy for multi-reference and single-reference systems and noncovalent interactions,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory MN15: A Kohn–Sham global-hybrid exchange–correlation density functional with broad accuracy for multi-reference and single-reference systems and noncovalent interactions,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:58:43.153552Z

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=2026-08-14T12:58:43.020911Z digest=sha256:5116cc581c63afb45f256036c19df1007b9c2bd3eb35be15d256bddd601dc46a

Observation 6d3096b0-2735-4a56-8fa7-b5b1cf04770c · outbound

This paper cites ωB97M-V: A combinatorially optimized, range-separated hybrid, me- ta-GGA density functional with VV10 nonlocal correla- tion,.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory ωB97M-V: A combinatorially optimized, range-separated hybrid, me- ta-GGA density functional with VV10 nonlocal correla- tion,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:58:43.135379Z

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=2026-08-14T12:58:43.024774Z digest=sha256:bbef7b97dd7e5a7e91899996bff42796917e54ce5d122bebdc0eed3eaba4b871

Observation ca30fc12-2a37-4046-818f-beff44d434a0 · outbound

This paper cites Can ex- act conditions improve machine-learned density function- als?.

Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory Can ex- act conditions improve machine-learned density function- als?

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:58:43.120933Z

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=2026-08-14T12:58:43.029340Z digest=sha256:8a0239a37b6cc4e99551232961f34bb8965f9cb8c14f99405f51228f73afb396

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