Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:51:22.095448Z
Paper Citation Record · LEDGER
Active Learning for Machine Learning Driven Molecular Dynamics
As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2509.17208.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T03:54:31.053554Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact0
- verified fuzzy19
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8b12ad01-4a9b-4cbc-8685-d1459b43f8a9 · outbound
This paper cites Tica-based free energy matching for machine-learned molecular dynamics, 2025.
Active Learning for Machine Learning Driven Molecular Dynamics Tica-based free energy matching for machine-learned molecular dynamics, 2025
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.422791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation af6d5381-75e2-4309-86e2-f8adc8896580 · outbound
This paper cites Bartók, Mike C.
Active Learning for Machine Learning Driven Molecular Dynamics Bartók, Mike C
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.408457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7047822e-02b5-47c9-879a-4baa997b1855 · outbound
This paper cites Four generations of high-dimensional neural network potentials.Chemical Reviews, 121(16), 2021.
Active Learning for Machine Learning Driven Molecular Dynamics Four generations of high-dimensional neural network potentials.Chemical Reviews, 121(16), 2021
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.394537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e0ac31db-7025-467e-9397-14cc3610718a · outbound
This paper cites Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations.Physical Chemistry Chemical Physics, 13(40):17930–17955, October 2011.
Active Learning for Machine Learning Driven Molecular Dynamics Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations.Physical Chemistry Chemical Physics, 13(40):17930–17955, October 2011
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.379399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7af34a4b-2831-47ac-8503-f873b12d629c · outbound
This paper cites Generalized neural-network representation of high- dimensional potential-energy surfaces.Physical Review Letters, 98(14):146401, April 2007.
Active Learning for Machine Learning Driven Molecular Dynamics Generalized neural-network representation of high- dimensional potential-energy surfaces.Physical Review Letters, 98(14):146401, April 2007
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.364302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 43662a54-0427-4326-8349-2cad7ef22872 · outbound
This paper cites an unresolved cited work.
Active Learning for Machine Learning Driven Molecular Dynamics Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:51:22.350091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d4af3af4-6ac8-4f95-89cc-bb83829f6c38 · outbound
This paper cites Duschatko, Jonathan Vandermause, Nicola Molinari, and Boris Kozinsky.
Active Learning for Machine Learning Driven Molecular Dynamics Duschatko, Jonathan Vandermause, Nicola Molinari, and Boris Kozinsky
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.336041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d4e87db9-580e-4855-b05b-460eceaed729 · outbound
This paper cites Peláez, Charlles R.
Active Learning for Machine Learning Driven Molecular Dynamics Peláez, Charlles R
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.322024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0a4703d9-2289-4a25-a13e-69bcdc64dce4 · outbound
This paper cites Hollingsworth and Ron O.
Active Learning for Machine Learning Driven Molecular Dynamics Hollingsworth and Ron O
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.308086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 694e53e1-5231-462e-950d-30542b81c7b2 · outbound
This paper cites Husic, Nicholas E.
Active Learning for Machine Learning Driven Molecular Dynamics Husic, Nicholas E
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.293559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b8d8a36c-1e41-499d-a2f3-439859194283 · outbound
This paper cites Pak, Aleksander E.
Active Learning for Machine Learning Driven Molecular Dynamics Pak, Aleksander E
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.280132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9e3ef04c-70f6-4b14-abe2-5ecadaf5320d · outbound
This paper cites Active learning of neural network potentials for rare events.Digital Discovery, 3:514–527, 2024.
Active Learning for Machine Learning Driven Molecular Dynamics Active learning of neural network potentials for rare events.Digital Discovery, 3:514–527, 2024
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.266560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5530a6da-a9c3-455a-a7f4-eab9349ada63 · outbound
This paper cites Coarse-grained protein models and their applications.Chemical Reviews, 116(14):7898–7936, 2016.
Active Learning for Machine Learning Driven Molecular Dynamics Coarse-grained protein models and their applications.Chemical Reviews, 116(14):7898–7936, 2016
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.252014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d8fb169d-6e72-485e-9781-c16f3e5a6665 · outbound
This paper cites Marrink, H.
Active Learning for Machine Learning Driven Molecular Dynamics Marrink, H
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.236552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6e154022-b1e3-4bbc-be34-518156623e00 · outbound
This paper cites Kinetic distance and kinetic maps from molecular dynamics simulation.Journal of Chemical Theory and Computation, 11(10):5002–5011, 2015.
Active Learning for Machine Learning Driven Molecular Dynamics Kinetic distance and kinetic maps from molecular dynamics simulation.Journal of Chemical Theory and Computation, 11(10):5002–5011, 2015
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.222101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d641057c-b9c5-47e1-b860-6ca1ea76e0e4 · outbound
This paper cites Fast procedure for reconstruction of full-atom protein models from reduced representations.Journal of Computational Chemistry, 29(9):1460–1465, July 2008.
Active Learning for Machine Learning Driven Molecular Dynamics Fast procedure for reconstruction of full-atom protein models from reduced representations.Journal of Computational Chemistry, 29(9):1460–1465, July 2008
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.207073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2eca1ff7-f802-44eb-8f9c-df134fe6595f · outbound
This paper cites an unresolved cited work.
Active Learning for Machine Learning Driven Molecular Dynamics Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T15:51:22.190735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 422668bd-58f2-47e8-8a24-d8ea353d7b18 · outbound
This paper cites Sumpter and Donald W.
Active Learning for Machine Learning Driven Molecular Dynamics Sumpter and Donald W
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.175966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e2405753-992e-4a14-a316-ffc372d1c836 · outbound
This paper cites Unke and Markus Meuwly.
Active Learning for Machine Learning Driven Molecular Dynamics Unke and Markus Meuwly
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.161450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 77a7467b-d697-4107-b85d-696a8f360380 · outbound
This paper cites Charron, Gianni de Fabritiis, Frank Noé, and Cecilia Clementi.
Active Learning for Machine Learning Driven Molecular Dynamics Charron, Gianni de Fabritiis, Frank Noé, and Cecilia Clementi
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.146688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8b55fb12-35b2-4501-b74f-501ed22782ff · outbound
This paper cites Active learning of uniformly accurate interatomic potentials for materials simulation.Phys.
Active Learning for Machine Learning Driven Molecular Dynamics Active learning of uniformly accurate interatomic potentials for materials simulation.Phys
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:51:22.131243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation ce707d5b-de18-4b44-96bb-1e53d9b96475 · inbound
Girsanov Reweighting for Uncertainty Propagation in Rare-Event Kinetics cites this paper.
Girsanov Reweighting for Uncertainty Propagation in Rare-Event Kinetics Active Learning for Machine Learning Driven Molecular Dynamics
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:54:31.053554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.