Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:50:02.684895Z
Paper Citation Record · LEDGER
How Machine Learning Predicts Fluid Densities under Nanoconfinement
As of 20 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2508.17732.
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 2026-08-19T06:32:44.657259+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
58 of 58 outbound references displayed
- verified exact13
- verified fuzzy32
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 884d1c1d-4a85-4d22-bbac-fd91677bb02a · outbound
This paper cites title Nanofluidics coming of age.
How Machine Learning Predicts Fluid Densities under Nanoconfinement title Nanofluidics coming of age
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:19.212763Z
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 36cff5da-451d-40a2-984b-da299a0e106f · outbound
This paper cites , author Zhou, R.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Zhou, R
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:19.095100Z
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 6217f902-c424-4344-9bcf-880496d2ebf2 · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 3
- Resolution
- verified exact
- doi, observed 2026-08-05T16:50:06.057143Z
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 a763f477-e0c4-4a50-8acb-d6d107635715 · outbound
This paper cites , author Truskett, T.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Truskett, T
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:18.834836Z
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 6f2444e4-0141-4486-9b7c-deee906a9e83 · outbound
This paper cites & author Aluru, N.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author Aluru, N
Reference 5
- Resolution
- verified exact
- doi, observed 2026-08-05T16:50:05.774867Z
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 8444e85c-d681-44d5-89b0-29930bafe27a · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-05T16:50:05.400375Z
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 16e9ed19-bbfd-454d-be70-bddc240d37d4 · outbound
This paper cites & author Wang, G.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author Wang, G
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:18.514764Z
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 fe4fd9d8-6899-4b99-b28d-17c75d69a289 · outbound
This paper cites , author Peeters, F.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Peeters, F
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:18.266453Z
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 04049088-5b65-4b25-ade8-20758473b54c · outbound
This paper cites , author Chen, J.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Chen, J
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:18.005060Z
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 b8a9084d-3af1-4c5d-a83e-9bc892bee8f3 · outbound
This paper cites , author Goicochea, J.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Goicochea, J
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:17.674893Z
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 c5b4e487-8f64-4c64-a9f9-a970fb27d421 · outbound
This paper cites , author Kanke, Y.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Kanke, Y
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:17.418607Z
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 22c68064-5089-48f6-aa74-f45c36cae4cb · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 12
- Resolution
- unresolved
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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 c090090b-f33b-46d0-af44-429e109f10be · outbound
This paper cites , author Shen, Y.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Shen, Y
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-05T16:50:05.098660Z
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 8fcce4a6-5937-430a-a999-2e5373893386 · outbound
This paper cites Nano-Confinement Effects on Liquid Pressure.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Nano-Confinement Effects on Liquid Pressure
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T16:50:06.456262Z
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 108620db-95b9-4651-aff3-4e789131a928 · outbound
This paper cites , author Tanaka, H.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Tanaka, H
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:16.914600Z
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 2a97e252-5571-44bf-a124-21d2253394e7 · outbound
This paper cites , author Zeng, X.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Zeng, X
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:16.675496Z
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 417f71eb-e9b7-413a-adc1-6ae6bfc96ee5 · outbound
This paper cites , author Hatano, I.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Hatano, I
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:16.441094Z
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 8ceef465-544c-404b-a1db-d7b22c104db4 · outbound
This paper cites & author Aluru, N.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author Aluru, N
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:16.234545Z
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 b866ce4d-0f1b-439f-abc3-2ee67f7678e1 · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 19
- Resolution
- unresolved
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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 8940dc90-ce22-4934-b9b2-acac17287c17 · outbound
This paper cites , author Lichter, S.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Lichter, S
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:15.694838Z
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 0506edca-1937-4c03-98f3-4416eb1ffe24 · outbound
This paper cites , author Horinek, D.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Horinek, D
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:15.382783Z
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 dc21e3bd-e027-4676-b490-6403bd29ed99 · outbound
This paper cites & author Barrat, J.-L.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author Barrat, J.-L
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:14.984912Z
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 d8221f03-5e58-46fd-889b-b233744acf76 · outbound
This paper cites & author Bocquet, L.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author Bocquet, L
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:14.677094Z
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 08c5ed89-1de1-46f8-b4f1-eac0990f0da7 · outbound
This paper cites & author Barrat, J.-L.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author Barrat, J.-L
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:14.304841Z
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 0952e755-ab34-4a31-8cf2-794dd03be6b6 · outbound
This paper cites , author Roxin, A.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Roxin, A
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:13.935043Z
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 151be2ff-1836-4621-a377-0ed1b9c1dabe · outbound
This paper cites , author Roxin, A.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Roxin, A
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:13.427039Z
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 86174375-739d-4882-970a-93b158022b68 · outbound
This paper cites , author Martini, A.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Martini, A
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:13.120441Z
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 024c7019-f1bf-4956-99ea-3cddc666bbca · outbound
This paper cites , author Nicholson, D.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Nicholson, D
Reference 28
- Resolution
- verified exact
- doi, observed 2026-08-05T16:50:04.802542Z
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 08d69b4d-9d55-450a-824f-647dca71236e · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 29
- Resolution
- verified exact
- doi, observed 2026-08-05T16:50:04.611557Z
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 6e59a71c-a7dc-4938-81fb-3070b52698ab · outbound
This paper cites & author Praestgaard, E.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author Praestgaard, E
Reference 30
- Resolution
- verified exact
- doi, observed 2026-08-05T16:50:04.299883Z
Source-reported events for the cited work
correction dated 2003-02-27. Source: crossref record 10.1063/1.438049->10.1063/1.434707:correction, observed 2026-07-11T02:56:37.612613+00:00. This notice travels one citation hop only.
Observation 17956ffa-a801-4f4e-8174-547b7cb3b5da · outbound
This paper cites title The structure and thermodynamics of a solid-fluid interface.
How Machine Learning Predicts Fluid Densities under Nanoconfinement title The structure and thermodynamics of a solid-fluid interface
Reference 31
- Resolution
- verified exact
- doi, observed 2026-08-05T16:50:04.055326Z
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 c586d86d-bf9e-4408-991b-3af0e4d2e7e6 · outbound
This paper cites , author Rice, S.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Rice, S
Reference 32
- Resolution
- verified exact
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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 68c61842-e63a-4480-b835-20ebb3dc4332 · outbound
This paper cites title Free-energy model for the inhomogeneous hard-sphere fluid mixture and density-functional theory of freezing.
How Machine Learning Predicts Fluid Densities under Nanoconfinement title Free-energy model for the inhomogeneous hard-sphere fluid mixture and density-functional theory of freezing
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:12.823134Z
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 9d7777d8-c990-4d4a-ba6a-ca8ae0e169e9 · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 34
- Resolution
- verified exact
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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 b6e128f5-e6b1-4f5a-82c1-c7b677131a8f · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 35
- Resolution
- verified exact
- doi, observed 2026-08-05T16:50:03.252785Z
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 d489ec09-d319-4961-8867-26c405fac2de · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T16:50:12.534913Z
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 0a3c5a72-c0e5-4784-88fa-1e846a5d75e8 · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 37
- Resolution
- verified exact
- doi, observed 2026-08-05T16:50:02.994752Z
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 c8e3aeb6-d1f9-4e27-bb20-56047efab243 · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T16:50:12.283059Z
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 fab06315-115f-411d-8d57-0302806a22df · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T16:50:11.986863Z
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 80f99889-46ce-4d5e-a2e5-b1a0ce0c786b · outbound
This paper cites & author Zewail, A.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author Zewail, A
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:11.779563Z
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 02f3e997-d7b7-4d2c-a878-811bb4375e05 · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T16:50:11.611545Z
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 b40a4cd2-40b4-4e84-a9c4-39e9c8557fd8 · outbound
This paper cites & author R., M.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author R., M
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:11.324322Z
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 5f61458e-89c4-45ab-a141-1abdfde7690c · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T16:50:10.897036Z
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 52dcd058-8f68-476c-b51c-a198a699e244 · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T16:50:10.454881Z
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 1cd69934-8bfc-4861-9a1a-b7c0ce0ccf08 · outbound
This paper cites & author Aluru, N.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author Aluru, N
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:09.875317Z
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 43da71c6-7339-4a11-b2ad-041824d62054 · outbound
This paper cites title Fast parallel algorithms for short-range molecular dynamics.
How Machine Learning Predicts Fluid Densities under Nanoconfinement title Fast parallel algorithms for short-range molecular dynamics
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:09.548410Z
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 241b5a56-6388-47d5-a82d-3132f9f345ea · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:50:01.484841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e07adcad-d557-41ac-a097-ea06ed7aafa5 · outbound
This paper cites title A unified formulation of the constant temperature molecular dynamics methods.
How Machine Learning Predicts Fluid Densities under Nanoconfinement title A unified formulation of the constant temperature molecular dynamics methods
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:09.211967Z
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 1bec5752-b515-4500-84fb-700c0d6f684a · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T16:50:08.866345Z
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 20a21aeb-389b-4aec-8be4-55209dac25f8 · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T16:50:08.635386Z
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 54e9d987-07c0-4249-97b2-0765c47d0477 · outbound
This paper cites & author Guestrin, C.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author Guestrin, C
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:08.325296Z
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 1e764130-57aa-4c83-b112-371f508d0e1d · outbound
This paper cites an unresolved cited work.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T16:50:08.061809Z
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 92484837-5c82-4cea-b814-e3b6148d1a2b · outbound
This paper cites , author Hinton, G.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Hinton, G
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:07.759865Z
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 6f80aefb-3b66-4ae8-8d75-e4c5e7d5fbc0 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
How Machine Learning Predicts Fluid Densities under Nanoconfinement Adam: A Method for Stochastic Optimization
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:50:02.385882Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29727119-1d99-4981-8259-1fde88302e6c · outbound
This paper cites , author Giovambattista, N.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , author Giovambattista, N
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:07.532300Z
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 9f9f4e50-3169-409c-8a6c-873ca55f76e8 · outbound
This paper cites & author Verlet, L.
How Machine Learning Predicts Fluid Densities under Nanoconfinement & author Verlet, L
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:07.384756Z
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 57e962eb-1b8a-4b89-bf25-87c9e928e726 · outbound
This paper cites , " * write output.state after.block = add.period write newline.
How Machine Learning Predicts Fluid Densities under Nanoconfinement , " * write output.state after.block = add.period write newline
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:07.041091Z
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 42c262ea-52c1-4ad1-ba5e-20630b011c13 · outbound
This paper cites write newline.
How Machine Learning Predicts Fluid Densities under Nanoconfinement write newline
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T16:50:06.744756Z
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
No inbound Pith citation observations are available.