Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Nuclear mass predictions using machine learning models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.02824.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T03:23:37.705346Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T23:36:37.142810Z
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 c4230fff-775d-4bca-8ca9-16ce6f00dfa0 · inbound
Machine learning the impact parameter in heavy-ion collisions at $\sqrt{s_{\rm NN}}$ = 4 and 11 GeV: a cross-check study with UrQMD, AMPT, and JAM cites this paper.
Machine learning the impact parameter in heavy-ion collisions at $\sqrt{s_{\rm NN}}$ = 4 and 11 GeV: a cross-check study with UrQMD, AMPT, and JAM Nuclear mass predictions using machine learning models
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:36:37.144181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b1e8a05d-bb5e-4e3a-b540-ff360a1610b0 · inbound
NNStar: An end-to-end AI agent for nuclear matter and neutron star physics cites this paper.
NNStar: An end-to-end AI agent for nuclear matter and neutron star physics Nuclear mass predictions using machine learning models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:23:37.705346Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.