Paper Citation Record · LEDGER

Machine learning configuration interaction for ab initio potential energy curves

As of 16 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:1908.07430.

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

pith.paper-citation-record.v1
1908.07430 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:26:26.509350Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

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

36 of 36 outbound references displayed

verified exact2
verified fuzzy24
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 447005d0-6587-4d26-a958-a1a2c3c843a7 · outbound

This paper cites L.; Bowman, J.

Machine learning configuration interaction for ab initio potential energy curves L.; Bowman, J

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:27.168517Z

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.

Observation bd98a73c-37ac-4b35-bb12-a462700e93de · outbound

This paper cites an unresolved cited work.

Machine learning configuration interaction for ab initio potential energy curves Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:26.680478Z

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.

Observation e4714b45-4cb5-4f21-8ba1-cf70b388a181 · outbound

This paper cites Gaussian process regression to a ccelerate geometry opti- mizations relying on numerical diﬀerentiation.

Machine learning configuration interaction for ab initio potential energy curves Gaussian process regression to a ccelerate geometry opti- mizations relying on numerical diﬀerentiation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:27.149524Z

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.

Observation d5586f84-3278-402b-af8d-ab3bdf34410e · outbound

This paper cites P.; Paterson, M.

Machine learning configuration interaction for ab initio potential energy curves P.; Paterson, M

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.624189Z

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.

Observation 5f8d339b-995b-48f8-9596-f79c6ab705b6 · outbound

This paper cites an unresolved cited work.

Machine learning configuration interaction for ab initio potential energy curves Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:26.766708Z

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.

Observation 110e2934-9e1a-43b3-b2d1-c697d24bb8da · outbound

This paper cites an unresolved cited work.

Machine learning configuration interaction for ab initio potential energy curves Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:26.714451Z

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.

Observation 3b6822de-883f-4f1e-b56c-83c55f4cb354 · outbound

This paper cites an unresolved cited work.

Machine learning configuration interaction for ab initio potential energy curves Unresolved cited work

Reference 181

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:26.783914Z

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.

Observation fc451955-b92c-46d4-9bf9-e723be4e8123 · outbound

This paper cites O.; Rupp, M.; von Lilienfeld, O.

Machine learning configuration interaction for ab initio potential energy curves O.; Rupp, M.; von Lilienfeld, O

Reference 291

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:27.001672Z

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.

Observation e1018451-bbd1-4541-871b-b54749270bf2 · outbound

This paper cites Coordinate Descent Full Conﬁguration I nteraction.

Machine learning configuration interaction for ab initio potential energy curves Coordinate Descent Full Conﬁguration I nteraction

Reference 319

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.748117Z

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.

Observation e4cd0461-2048-4c45-b59b-fc652580dcbb · outbound

This paper cites P.; Murphy, P.; Paterson, M.

Machine learning configuration interaction for ab initio potential energy curves P.; Murphy, P.; Paterson, M

Reference 359

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.642646Z

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.

Observation be4b078c-88a7-4a33-8e18-f8a1e6951d78 · outbound

This paper cites H.; Thom, A.

Machine learning configuration interaction for ab initio potential energy curves H.; Thom, A

Reference 431

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.863002Z

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.

Observation 068aedd7-bfcc-489b-9fab-6ff259522c89 · outbound

This paper cites D.; Bartlett, R.

Machine learning configuration interaction for ab initio potential energy curves D.; Bartlett, R

Reference 618

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:27.022231Z

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.

Observation 5a955ba7-6473-44f4-9a51-ba4c311c2cfa · outbound

This paper cites Sem i-local machine- learned kinetic energy density functional with third-order gradients of electron density.

Machine learning configuration interaction for ab initio potential energy curves Sem i-local machine- learned kinetic energy density functional with third-order gradients of electron density

Reference 872

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:27.059909Z

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.

Observation 4d34b3d0-74a3-4313-bbd6-79266993ad60 · outbound

This paper cites E.; Burke, K.; M¨ uller, K.-R.

Machine learning configuration interaction for ab initio potential energy curves E.; Burke, K.; M¨ uller, K.-R

Reference 1139

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:27.079097Z

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.

Observation 9405f246-9ff8-4107-af44-abb741e7591b · outbound

This paper cites Spin-adapted selected configuration interaction in a determinant basis.

Machine learning configuration interaction for ab initio potential energy curves Spin-adapted selected configuration interaction in a determinant basis

Reference 1395

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:26:26.572420Z

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.

Observation 907d4fa2-5458-4e16-8fdd-ff4704c8fd11 · outbound

This paper cites Comparison of the open-shell state-univers al and state-selective coupled-cluster theories: H 4 and H8 models.

Machine learning configuration interaction for ab initio potential energy curves Comparison of the open-shell state-univers al and state-selective coupled-cluster theories: H 4 and H8 models

Reference 1772

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.589798Z

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.

Observation 53fd09a0-d9f5-42b6-a030-ab36ce3eeb74 · outbound

This paper cites an unresolved cited work.

Machine learning configuration interaction for ab initio potential energy curves Unresolved cited work

Reference 1821

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:26.800645Z

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.

Observation d1bc714e-3b98-4ddc-9f7f-77b3b2c75057 · outbound

This paper cites an unresolved cited work.

Machine learning configuration interaction for ab initio potential energy curves Unresolved cited work

Reference 1886

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:27.041583Z

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.

Observation 9afc7d0e-ff9e-4be1-b1df-6ff020563ac5 · outbound

This paper cites T.; Arbabzadah, F.; Chmiela, S.; M¨ uller, K.

Machine learning configuration interaction for ab initio potential energy curves T.; Arbabzadah, F.; Chmiela, S.; M¨ uller, K

Reference 2187

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:27.131827Z

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.

Observation 43ff321e-c855-4381-a201-f58b9367ab02 · outbound

This paper cites A.; Christensen, A.

Machine learning configuration interaction for ab initio potential energy curves A.; Christensen, A

Reference 3404

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:27.096878Z

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.

Observation f8bdcc1e-48e3-4e87-b0df-50f1b44ba5b3 · outbound

This paper cites I.; Bartlett, R.

Machine learning configuration interaction for ab initio potential energy curves I.; Bartlett, R

Reference 3558

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.731438Z

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.

Observation 4f981ce2-7a8b-49ae-8e17-33f7df94f6f2 · outbound

This paper cites A Mountaineering Strategy to Excited States: Highly Accurate Refe rence Energies and Benchmarks.

Machine learning configuration interaction for ab initio potential energy curves A Mountaineering Strategy to Excited States: Highly Accurate Refe rence Energies and Benchmarks

Reference 3591

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.847934Z

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.

Observation 699da49d-12b5-474a-b948-cc390c26b1a9 · outbound

This paper cites M.; Lee, J.; Takeshita, T.

Machine learning configuration interaction for ab initio potential energy curves M.; Lee, J.; Takeshita, T

Reference 3674

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.879984Z

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.

Observation 639aa4a3-085e-4ca0-97b9-cc8655179324 · outbound

This paper cites Machine Learning Adaptive Basis Sets for Eﬃcient Large Scale Density Functional Theory Simulation.J.

Machine learning configuration interaction for ab initio potential energy curves Machine Learning Adaptive Basis Sets for Eﬃcient Large Scale Density Functional Theory Simulation.J

Reference 4129

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.929633Z

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.

Observation 7b91f1dc-08ff-4622-9b7d-86b21ff427fb · outbound

This paper cites P.; Rancurel, P.

Machine learning configuration interaction for ab initio potential energy curves P.; Rancurel, P

Reference 4168

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.913813Z

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.

Observation 2ea6d17f-7df0-4a7e-a0dc-69d4d8046ba8 · outbound

This paper cites P.; Paterson, M.

Machine learning configuration interaction for ab initio potential energy curves P.; Paterson, M

Reference 4189

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.607962Z

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.

Observation e41a98cc-2bf2-4646-898f-8ad68637b5cc · outbound

This paper cites Determinist ic Construction of Nodal Surfaces within Quantum Monte Carlo: The Case of FeS.

Machine learning configuration interaction for ab initio potential energy curves Determinist ic Construction of Nodal Surfaces within Quantum Monte Carlo: The Case of FeS

Reference 4360

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.832338Z

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.

Observation c522eea1-0de2-442d-a7c0-f1df4a077b9f · outbound

This paper cites J.; Gauss, J.

Machine learning configuration interaction for ab initio potential energy curves J.; Gauss, J

Reference 4633

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.698472Z

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.

Observation e3f231c3-f424-48c7-a728-23273fc0e0ff · outbound

This paper cites an unresolved cited work.

Machine learning configuration interaction for ab initio potential energy curves Unresolved cited work

Reference 4772

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:26.966016Z

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.

Observation 593d5b00-1a68-4475-830a-8331ba5a2a8c · outbound

This paper cites A.; Tkatchenko, A.; M¨ uller, K.

Machine learning configuration interaction for ab initio potential energy curves A.; Tkatchenko, A.; M¨ uller, K

Reference 5137

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:27.114320Z

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.

Observation 0d1dce5a-a5e9-4c7f-a830-4dc73c649425 · outbound

This paper cites J.; Gauss, J.

Machine learning configuration interaction for ab initio potential energy curves J.; Gauss, J

Reference 5180

Resolution: verified exact; doi, observed 2026-08-14T12:26:26.548230Z

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.

Observation 092455ff-1db8-4979-9bb6-141e77d5b074 · outbound

This paper cites an unresolved cited work.

Machine learning configuration interaction for ab initio potential energy curves Unresolved cited work

Reference 5354

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:26.816062Z

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.

Observation 3bbf57a4-4e96-4deb-ab4e-34493ee62aa0 · outbound

This paper cites an unresolved cited work.

Machine learning configuration interaction for ab initio potential energy curves Unresolved cited work

Reference 5739

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:26.945405Z

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.

Observation 3316bf8d-68f5-47d3-a57f-e12bb7e41a6a · outbound

This paper cites A.; Tubman, N.

Machine learning configuration interaction for ab initio potential energy curves A.; Tubman, N

Reference 5745

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.897010Z

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.

Observation 83aa56e3-383c-45b7-bf48-6f383d624a9f · outbound

This paper cites an unresolved cited work.

Machine learning configuration interaction for ab initio potential energy curves Unresolved cited work

Reference 6343

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:26.983509Z

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.

Observation f0d60f66-2b1b-4de3-914c-3c3910d47c83 · outbound

This paper cites K.-L.; K´ allay, M.; Gauss, J.

Machine learning configuration interaction for ab initio potential energy curves K.-L.; K´ allay, M.; Gauss, J

Reference 6677

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:26.661470Z

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.

Pith citing papers

No inbound Pith citation observations are available.