Paper Citation Record · LEDGER

Dynamically Close Galaxy Pairs and Merger Rate Evolution in the CNOC2 Redshift Survey

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:astro-ph/0109428.

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

pith.paper-citation-record.v1
astro-ph/0109428 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T04:41:12.165957Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-26T00:38:43.438468Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 c5b9b0e2-e90e-4cd9-a55c-5cc10c0c5f30 · inbound

Unlocking the Full Potential of SKAO Extra-galactic Science with High-multiplex Optical Spectroscopy cites this paper.

Unlocking the Full Potential of SKAO Extra-galactic Science with High-multiplex Optical Spectroscopy Dynamically Close Galaxy Pairs and Merger Rate Evolution in the CNOC2 Redshift Survey

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-06-26T00:38:43.439915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d2cb06b-2d14-4d09-86aa-0eb3aa8e61e2 · inbound

Performance of morphological classifiers for galaxy mergers compared to current machine learning methods cites this paper.

Performance of morphological classifiers for galaxy mergers compared to current machine learning methods Dynamically Close Galaxy Pairs and Merger Rate Evolution in the CNOC2 Redshift Survey

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-13T04:41:12.165957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.