Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Density dependence of thermal conductivity in nanoporous and amorphous carbon with machine-learned molecular dynamics
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.12390.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:37:10.300345Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T11:36:35.739685Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 2521bd3f-b994-448d-8a2d-dfcc311c19c7 · inbound
Advances in modeling complex materials: The rise of neuroevolution potentials cites this paper.
Advances in modeling complex materials: The rise of neuroevolution potentials Density dependence of thermal conductivity in nanoporous and amorphous carbon with machine-learned molecular dynamics
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:37:10.300345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db3cd669-d9fc-443b-a311-90c29adefdf8 · inbound
NepTrain and NepTrainKit: Automated Active Learning and Visualization Toolkit for Neuroevolution Potentials cites this paper.
NepTrain and NepTrainKit: Automated Active Learning and Visualization Toolkit for Neuroevolution Potentials Density dependence of thermal conductivity in nanoporous and amorphous carbon with machine-learned molecular dynamics
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:36:35.826281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.