Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Modeling the galaxy-halo connection with machine learning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.02422.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:17:48.884996Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T09:21:21.212797Z
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 3b4d9bf9-5e5c-4f55-bf84-48675c8732c3 · inbound
SymbolFit: Automatic Parametric Modeling with Symbolic Regression cites this paper.
SymbolFit: Automatic Parametric Modeling with Symbolic Regression Modeling the galaxy-halo connection with machine learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:17:48.884996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc36bb76-0b21-4626-a60f-43c238c3989c · inbound
Cosmological Simulations of Galaxies cites this paper.
Cosmological Simulations of Galaxies Modeling the galaxy-halo connection with machine learning
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:15:59.997672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30499af7-8513-4e26-a54e-0fd25df4e46a · 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 Modeling the galaxy-halo connection with machine learning
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:21:21.215113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.