Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Interpretable machine learning for finding intermediate-mass black holes
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2310.18560.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-22T09:20:09.976842Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T09:21:21.054949Z
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 d8bf796c-c5b4-4b4d-ae9c-ef43cd0c1cc7 · inbound
Predicting intermediate-mass black hole formation in star clusters with machine learning cites this paper.
Predicting intermediate-mass black hole formation in star clusters with machine learning Interpretable machine learning for finding intermediate-mass black holes
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:21:21.057749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.