Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:47:55.771978Z
Paper Citation Record · LEDGER
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks
As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1908.02448.
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
19 of 19 outbound references displayed
- verified exact0
- verified fuzzy15
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3da520fd-ac00-4fb3-a224-f3e33fc06f8a · outbound
This paper cites G.; Frenkel, D.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks G.; Frenkel, D
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:56.009421Z
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 db7b7735-0b1d-483b-8955-95e6df20356d · outbound
This paper cites an unresolved cited work.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:47:55.942835Z
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 aa8c48ea-e953-49cc-bfd6-3b897c275427 · outbound
This paper cites L.; Pusztai, L.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks L.; Pusztai, L
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.932447Z
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 7c924748-2802-47d0-9bd8-00ab7fcdf464 · outbound
This paper cites Machine- learning-assisted discovery of polymers with high thermal conductivity using a molec- ular design algorithm.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Machine- learning-assisted discovery of polymers with high thermal conductivity using a molec- ular design algorithm
Reference 106
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.954379Z
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 89b89678-7dac-4f97-88cc-6aaa0a1e73dd · outbound
This paper cites Comparative atomistic and coarse-grained study of water: What do we lose by coarse-graining? Eur.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Comparative atomistic and coarse-grained study of water: What do we lose by coarse-graining? Eur
Reference 197
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.817136Z
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 6b3f55d8-a118-4147-b499-6865c8b8c09f · outbound
This paper cites Coarsegraining in polymer simulation: From the atomistic to the mesoscopic scale and back.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Coarsegraining in polymer simulation: From the atomistic to the mesoscopic scale and back
Reference 347
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.865869Z
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 99f0fe18-f98d-497a-8e83-e4002abbbd3a · outbound
This paper cites P.; Laaksonen, A.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks P.; Laaksonen, A
Reference 423
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.921065Z
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 05d1747a-a4f3-4172-87b4-1c461e1ca7cf · outbound
This paper cites Accurate effective pair potentials for polymer solutions.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Accurate effective pair potentials for polymer solutions
Reference 499
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.998199Z
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 5ae86701-76e6-4624-8587-2d3d71042ab8 · outbound
This paper cites Perspective: Machine learning potentials for atomistic simulations.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Perspective: Machine learning potentials for atomistic simulations
Reference 539
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.976049Z
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 49bb0d98-f6a6-49e7-a237-341d0d8be7fd · outbound
This paper cites Mapping atomistic simulations to mesoscopic models: A 27 systematic coarse-graining procedure for vinyl polymer chains.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Mapping atomistic simulations to mesoscopic models: A 27 systematic coarse-graining procedure for vinyl polymer chains
Reference 754
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.853380Z
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 ce103437-1fd0-4e47-b3b5-325f111f121c · outbound
This paper cites an unresolved cited work.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Unresolved cited work
Reference 1078
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:47:55.965113Z
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 85969f9b-521b-4b27-a66b-b4e357c87487 · outbound
This paper cites C.; Stillinger, F.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks C.; Stillinger, F
Reference 1624
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.899552Z
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 47b1c8aa-dd95-4889-bb79-17d80f783beb · outbound
This paper cites (47) Abadi, M.; Agarwal, A.; Barham, P.; Brevdo, E.; Chen, Z.; Citro, C.; Corrado, G.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks (47) Abadi, M.; Agarwal, A.; Barham, P.; Brevdo, E.; Chen, Z.; Citro, C.; Corrado, G
Reference 2015
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.804216Z
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 da62bd42-c9c4-4667-8d9c-0cd61029f8c6 · outbound
This paper cites N.; Dobnikar, J.; Nikoubashman, A.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks N.; Dobnikar, J.; Nikoubashman, A
Reference 3451
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.888744Z
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 238fc2c2-21f4-4bed-812f-be2d7c076f09 · outbound
This paper cites Deriving effective mesoscale potentials from atomistic simulations.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Deriving effective mesoscale potentials from atomistic simulations
Reference 3730
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.910195Z
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 b2b5bb0a-8b96-4adf-84ce-95637b182a4d · outbound
This paper cites Thermodynamics of hydrophobic amino acids in solution: A combined experimentalcomputational study.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Thermodynamics of hydrophobic amino acids in solution: A combined experimentalcomputational study
Reference 5088
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.877865Z
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 f598c660-e428-4678-b759-9f09257880a0 · outbound
This paper cites R.; Hannon, A.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks R.; Hannon, A
Reference 6702
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:47:55.986735Z
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 92d53f21-48db-47bf-bf60-ee8e666281ef · outbound
This paper cites an unresolved cited work.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Unresolved cited work
Reference 9187
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:47:55.829138Z
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 3e66ca35-1d36-4743-a80b-75d594041267 · outbound
This paper cites an unresolved cited work.
BoltzmaNN: Predicting effective pair potentials and equations of state using neural networks Unresolved cited work
Reference 9205
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:47:55.841003Z
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.