Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Structure and dynamics of the magnetite(001)/water interface from molecular dynamics simulations based on a neural network potential
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.11538.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T01:51:15.206521Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0b404e30-c84b-4f22-8c97-4dc05a03695b · inbound
From Local Structure to Thermodynamics and Transport of Water with Machine Learning Force Fields cites this paper.
From Local Structure to Thermodynamics and Transport of Water with Machine Learning Force Fields Structure and dynamics of the magnetite(001)/water interface from molecular dynamics simulations based on a neural network potential
Reference 79
- Resolution
- verified exact
- local_arxiv, observed 2026-08-01T04:23:30.243802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c5d8f935-c42e-416c-bb53-a871d29ff108 · inbound
From Local Structure to Thermodynamics and Transport of Water with Machine Learning Force Fields cites this paper.
From Local Structure to Thermodynamics and Transport of Water with Machine Learning Force Fields Structure and dynamics of the magnetite(001)/water interface from molecular dynamics simulations based on a neural network potential
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:51:15.206521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.