Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:26:26.509350Z
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.