Paper Citation Record · LEDGER

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2605.22601.

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

pith.paper-citation-record.v1
2605.22601 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T04:04:32.590655Z

measured 34 of 34 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 2026-08-02T00:42:03.272451Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy22
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9aa3df2-05f5-4553-ab4d-1c3d0bbadb5e · outbound

This paper cites Behler and M.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Behler and M

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.886692Z

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 91568a97-3676-44c9-b8a8-2e0f1161b53e · outbound

This paper cites an unresolved cited work.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:06:02.848933Z

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 886c37e4-f06f-4f03-9750-734255c52b4a · outbound

This paper cites an unresolved cited work.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:06:02.862903Z

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 283c6cca-bcd6-4c11-8f0e-56ea6a43ff8a · outbound

This paper cites an unresolved cited work.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:06:02.876785Z

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 7537a183-d020-4c7a-bcfe-c2bda4716fb9 · outbound

This paper cites Wines, J.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Wines, J

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.859338Z

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 407a9c57-f26a-4d2b-b2de-27c54de5ed7a · outbound

This paper cites Nakano, M.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Nakano, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.800057Z

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 ade89fd5-6f84-41fd-a28f-64019fbdfbd4 · outbound

This paper cites van Rhijn, C.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed van Rhijn, C

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.803444Z

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 5fa89ae0-f733-46b2-b58c-36160c7a3b97 · outbound

This paper cites Slootman, I.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Slootman, I

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.792503Z

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 69d9356a-0660-41ac-9fbb-3af0b9aa3c51 · outbound

This paper cites Nandi, P.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Nandi, P

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.823631Z

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 0c12c1ce-5fff-40e7-bd82-c8c38cc74720 · outbound

This paper cites M \'e sz \'a ros, A.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed M \'e sz \'a ros, A

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.855689Z

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 b162723a-4079-42bc-8281-70ce574fcf26 · outbound

This paper cites O'Neill, B.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed O'Neill, B

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.837206Z

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 42652ec3-ed4e-4a3e-b857-2ff8803f8397 · outbound

This paper cites and Nakano, K.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed and Nakano, K

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.785851Z

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 c41e7566-c425-4d7f-8a0d-308fb2322f78 · outbound

This paper cites Radova, W.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Radova, W

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.880299Z

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 c865a494-75ba-404d-ad23-d16e45bc96f2 · outbound

This paper cites Batatia, D.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Batatia, D

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.845149Z

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 77011d3e-d28d-485e-8c93-66d5a12a7d3e · outbound

This paper cites Messerly, S.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Messerly, S

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.779642Z

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 1c14d598-55a8-4603-80e6-ca95cadb8fb6 · outbound

This paper cites Komsa and A.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Komsa and A

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.816879Z

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 68faf2d5-6f6c-4522-8106-6f78dfb9980d · outbound

This paper cites an unresolved cited work.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:06:02.806977Z

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 173d094b-5efa-4996-b41a-3c06867da465 · outbound

This paper cites Hlo z n \'y , J.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Hlo z n \'y , J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.830607Z

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 f126e505-c512-44cc-a9c1-6d3f118171fa · outbound

This paper cites Frenkel and Smit.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Frenkel and Smit

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.810294Z

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 ff05af1f-1ca7-4b1c-b746-f24c7aaf4fc4 · outbound

This paper cites Henkelman, B.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Henkelman, B

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.820134Z

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 b4ddf746-9b71-44bd-804b-2c6a9257a137 · outbound

This paper cites an unresolved cited work.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:06:02.841653Z

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 949b7edd-5feb-4251-b8a6-757fdcbdf1e2 · outbound

This paper cites an unresolved cited work.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:06:02.782676Z

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 33f8f650-b20a-4dac-9336-35814d225328 · outbound

This paper cites an unresolved cited work.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:06:02.834002Z

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 e72f2491-e5cf-4503-b967-a34ca8480f7c · outbound

This paper cites Perdew, K.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Perdew, K

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.852510Z

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 8c2889ba-ab3f-41c1-8ae9-162e366795c7 · outbound

This paper cites Giannozzi and et al.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Giannozzi and et al

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.872793Z

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 5ff68dfc-4627-4326-b49a-b6f4b44ae00d · outbound

This paper cites Effective core potentials.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Effective core potentials

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.776029Z

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 1e82d99a-2043-4ff8-bbad-dfa5c081b420 · outbound

This paper cites Hlo z n \' y.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Hlo z n \' y

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.788918Z

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 7dbcce6e-a2b4-4a77-ae3b-5866a63643cb · outbound

This paper cites an unresolved cited work.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:06:02.827097Z

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 a84da2b3-8e8a-4515-8cef-c7c79bb6ce8e · outbound

This paper cites an unresolved cited work.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:06:02.813509Z

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 97bba81b-6590-464a-af03-c625df097737 · outbound

This paper cites Mace foundation models.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Mace foundation models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.795991Z

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 9088f0d3-f9b7-4e8c-8871-043eb4ecb5fd · outbound

This paper cites an unresolved cited work.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:06:02.866040Z

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 3529df46-65d2-4528-9707-6e7139f06697 · outbound

This paper cites an unresolved cited work.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-22T04:06:02.869351Z

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 267ebf16-9849-4b8a-b35e-596ac022c360 · outbound

This paper cites Beyond the locality approximation in the standard diffusion monte carlo method.

Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed Beyond the locality approximation in the standard diffusion monte carlo method

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T04:06:02.883694Z

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 55583942-cd0c-4e7d-899f-be43035fd5ab · inbound

Self-organized defect clustering and concentration-dependent vacancy diffusion in MoS$_2$ cites this paper.

Self-organized defect clustering and concentration-dependent vacancy diffusion in MoS$_2$ Upscaling DFT-trained machine-learning interatomic potential toward Quantum Monte Carlo accuracy: Sulfur-vacancy migration in monolayer MoS$_2$ as a testbed

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T00:42:03.272451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.