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Paper Citation Record · LEDGER

Galaxy merger challenge: A comparison study between machine learning-based detection methods

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.15118.

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

pith.paper-citation-record.v1
2403.15118 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:17:16.631050Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-13T04:49:20.544578Z

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 0c452227-bd68-4daa-b5b4-668ed44e9397 · inbound

The History of Galaxy Mergers in IllustrisTNG cites this paper.

The History of Galaxy Mergers in IllustrisTNG Galaxy merger challenge: A comparison study between machine learning-based detection methods

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T19:17:16.631050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:17:16.631050Z digest=sha256:609d3b4452de41461926bd230a87fd77617560d1d36d00dee697da61f6801071

Observation d4e170f6-dd75-4a6d-a19f-1d6c3443fc8a · 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 Galaxy merger challenge: A comparison study between machine learning-based detection methods

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-13T04:49:20.547084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-13T04:41:12.165957Z digest=sha256:5539cd6d3950453038d0e01b13a3aff97a6cb43368f9772852a61d12d78e1893