Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Utilizing a machine-learned potential to explore enhanced radiation tolerance in the MoNbTaVW high-entropy alloy
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.02834.
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 2026-08-10T18:37:10.285683Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:51:36.852305Z
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 32e35840-00ef-4928-85c1-b3c18adcf99e · inbound
Advances in modeling complex materials: The rise of neuroevolution potentials cites this paper.
Advances in modeling complex materials: The rise of neuroevolution potentials Utilizing a machine-learned potential to explore enhanced radiation tolerance in the MoNbTaVW high-entropy alloy
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:37:10.285683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c68f5c49-a815-4cad-a9a7-812a9cc1ad2d · inbound
Revealing the impact of chemical short-range order on radiation damage in MoNbTaVW high-entropy alloys using a machine-learning potential cites this paper.
Revealing the impact of chemical short-range order on radiation damage in MoNbTaVW high-entropy alloys using a machine-learning potential Utilizing a machine-learned potential to explore enhanced radiation tolerance in the MoNbTaVW high-entropy alloy
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:51:36.895409Z
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.