Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Finding universal relations in subhalo properties with artificial intelligence
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2109.04484.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:27:34.654298Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T09:21:20.740944Z
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 c1a68264-303f-4560-b7a5-d4270f00ce16 · inbound
SymbolFit: Automatic Parametric Modeling with Symbolic Regression cites this paper.
SymbolFit: Automatic Parametric Modeling with Symbolic Regression Finding universal relations in subhalo properties with artificial intelligence
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:17:48.896081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b3d67a9-326f-4882-871d-96bfc3ab2432 · inbound
Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes cites this paper.
Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Finding universal relations in subhalo properties with artificial intelligence
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:27:34.654298Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7c19f2f-3ab3-409b-aba3-8fbf7e0fc125 · 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 Finding universal relations in subhalo properties with artificial intelligence
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:21:20.743081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.