Paper Citation Record · LEDGER

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2505.19909.

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

pith.paper-citation-record.v1
2505.19909 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:16.593320Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:41:50.196569Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T07:42:06.652891Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy18
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e87819c9-71b7-4485-8186-30c110e5eefa · outbound

This paper cites Energy-consistentpseudopotentialsforquantummontecarlocalculations.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Energy-consistentpseudopotentialsforquantummontecarlocalculations

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:20.933219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1fe67f4a-963d-4cb0-b5ea-db1eba4c981e · outbound

This paper cites Chandler Bennett, Guangming Wang, Abdulgani Annaberdiyev, Cody A.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Chandler Bennett, Guangming Wang, Abdulgani Annaberdiyev, Cody A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:20.774991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f025acb1-6271-4118-8a78-e89a2e115634 · outbound

This paper cites Novel pseudo-hamiltonian for quantum monte carlo simulations.Physical review letters, 62(18):2088, 1989.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Novel pseudo-hamiltonian for quantum monte carlo simulations.Physical review letters, 62(18):2088, 1989

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:20.569717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c83b628e-7b1a-426a-b9a2-22d28fa5b7c0 · outbound

This paper cites Localityerrorfreeeffectivecorepotentialsfor3dtransitionmetalelementsdevelopedforthediffusionmontecarlomethod.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Localityerrorfreeeffectivecorepotentialsfor3dtransitionmetalelementsdevelopedforthediffusionmontecarlomethod

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:20.312156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 76043096-0160-4d1a-aa46-676ddec16f73 · outbound

This paper cites High accuracy transition metal effective cores for the many-body diffusion monte carlo method.Journal of Chemical Theory and Computation , 18(2):828–839, 2022.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials High accuracy transition metal effective cores for the many-body diffusion monte carlo method.Journal of Chemical Theory and Computation , 18(2):828–839, 2022

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:20.044526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34c393d2-1ed9-43ce-a58b-a3f746cca76b · outbound

This paper cites Hybridizingpseudo-hamiltoniansandnon-localpseudopotentialsindiffusionmonte carlo.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Hybridizingpseudo-hamiltoniansandnon-localpseudopotentialsindiffusionmonte carlo

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:19.828815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ceb459a8-dade-49bf-862e-339dbfc09f4b · outbound

This paper cites Levine, Eric L.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Levine, Eric L

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:19.621774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d77d2614-f11a-4b06-8989-2eb339a2477c · outbound

This paper cites Levine, Eric L.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Levine, Eric L

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:19.373920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9fd619cf-3400-46c4-aa86-88d5fe54f649 · outbound

This paper cites Knowles, Gerald Knizia, Frederick R.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Knowles, Gerald Knizia, Frederick R

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:19.197538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d2bbfbe-a8d3-4e02-9495-5c4a562bd78a · outbound

This paper cites Knowles, Frederick R.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Knowles, Frederick R

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:18.989331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 14807267-e1a9-4b49-9472-1702f08d1a35 · outbound

This paper cites Peterson and Jr.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Peterson and Jr

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:18.769345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10e6ac1c-f061-4b9d-a80c-1213939f2800 · outbound

This paper cites A new generation of effective core potentials from correlated calculations: 3d transition metal series.The Journal of chemical physics, 149(13), 2018.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials A new generation of effective core potentials from correlated calculations: 3d transition metal series.The Journal of chemical physics, 149(13), 2018

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:18.523896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c4f2d43-7556-4d8f-97fe-506a0194914c · outbound

This paper cites Spendley, G.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Spendley, G

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:18.310202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a25cf3d-58c6-4bf3-ab07-1dd723bf32f5 · outbound

This paper cites an unresolved cited work.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:14:18.074293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e01c7f7f-2973-4e6e-8b7f-bd7c9a3727c1 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, WarrenWeckesser, JonathanBright, StéfanJ.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, WarrenWeckesser, JonathanBright, StéfanJ

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:17.884261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cda8870e-e3c9-40fb-85b4-f30cc450099c · outbound

This paper cites Hyperopt: a python library for model selection and hyperparameter optimization.Comput.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Hyperopt: a python library for model selection and hyperparameter optimization.Comput

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:17.691595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28555075-e555-4aa5-a9f2-723be7891b17 · outbound

This paper cites Algorithms for hyper-parameter optimization.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Algorithms for hyper-parameter optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:17.470600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a674e880-bae1-47a5-9e0e-464a346776b8 · outbound

This paper cites an unresolved cited work.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:14:17.247351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e7f473a1-ae9d-452e-812c-497b6f52b367 · outbound

This paper cites Pyqmc: An all-pythonreal-space quantum monte carlomodule in pyscf.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Pyqmc: An all-pythonreal-space quantum monte carlomodule in pyscf

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:17.062507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 417700d1-9867-4019-9074-685ec5dd7f91 · outbound

This paper cites Low-energy spectrum of iron–sulfur clusters directly from many-particle quantum mechanics.Nature chemistry, 6(10):927–933, 2014.

Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials Low-energy spectrum of iron–sulfur clusters directly from many-particle quantum mechanics.Nature chemistry, 6(10):927–933, 2014

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:16.851597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation cd25a3c2-6fc1-4537-8583-dcb156f324f4 · inbound

Enhancing Neural-Network Variational Monte Carlo through Basis Transformation cites this paper.

Enhancing Neural-Network Variational Monte Carlo through Basis Transformation Empowering Neural Network-based Quantum Monte Carlo with Local Pseudopotentials

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-07-20T01:18:17.153589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.