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Paper Citation Record · LEDGER

Semi-empirical Models of Galaxy Formation and Evolution

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.12764.

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

pith.paper-citation-record.v1
2502.12764 v1

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T04:17:56.334130Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 986e60aa-9e1f-4c0c-a718-9e9ea53c404a · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts Semi-empirical Models of Galaxy Formation and Evolution

Reference 137

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:54.061139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T00:51:26.783868Z digest=sha256:aafacfa24f86b672e6981d2de8cb9c3b762319a2459ae53f0d917faddc7ab126

Observation c95fe52d-6d77-489d-a093-b707d4c0aeee · inbound

Semi-empirical Predictions for Ultra-deep Radio Counts of Star-forming Galaxies with the SKAO cites this paper.

Semi-empirical Predictions for Ultra-deep Radio Counts of Star-forming Galaxies with the SKAO Semi-empirical Models of Galaxy Formation and Evolution

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-06-26T04:18:57.557446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T04:17:56.334130Z digest=sha256:1753fa3a7ac051a315bb802bed90670ecef6af3f5fa5a85570d08d89996b8bff