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Paper Citation Record · LEDGER

Modeling the galaxy-halo connection with machine learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.02422.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2111.02422 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:15:59.997672Z

measured 0 of 1 external citation measurements

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 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.

source=arxiv_source observed=2026-08-06T18:15:59.997672Z digest=sha256:2e48ea94680d6dd0ac3e6ca18cc76116bf334775bdfaa5ac5a2db32400940566

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T09:20:09.976842Z digest=sha256:17fe221b20d4a621bded05294a05cdd51faa2c218b0c24b8eeae5a215d38efca