Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient moment tensor machine-learning interatomic potential for accurate description of defects in Ni-Al Alloys
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.01282.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:25:33.286357Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:35:53.067196Z
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 be9d89eb-ab64-4127-a722-d64ee039b5ed · inbound
Quantum Delocalization Enables Water Dissociation on Ru(0001) cites this paper.
Quantum Delocalization Enables Water Dissociation on Ru(0001) Efficient moment tensor machine-learning interatomic potential for accurate description of defects in Ni-Al Alloys
Reference 117
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:25:33.286357Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37d561c3-5632-4922-b9da-56e5f3e22d47 · inbound
Diverse polymorphs and phase transitions in van der Waals In$_2$Se$_3$ cites this paper.
Diverse polymorphs and phase transitions in van der Waals In$_2$Se$_3$ Efficient moment tensor machine-learning interatomic potential for accurate description of defects in Ni-Al Alloys
Reference 80
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:35:53.113293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fa3047af-2198-456a-b816-755f6d6fc702 · inbound
Achieving DFT accuracy in short range ordering and stacking fault energy using moment tensor potential for CoCrFeNi and CoCrNi cites this paper.
Achieving DFT accuracy in short range ordering and stacking fault energy using moment tensor potential for CoCrFeNi and CoCrNi Efficient moment tensor machine-learning interatomic potential for accurate description of defects in Ni-Al Alloys
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:57:38.255500Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.