Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Morphological Classification of Galaxies Through Structural and Star Formation Parameters Using Machine Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.06340.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:11:34.182112Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:11:37.801597Z
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 752bf3c6-06ae-48ca-a34e-a552662f9d36 · inbound
Enhancing Galaxy Classification with U-Net Variational Autoencoders for Image Denoising cites this paper.
Enhancing Galaxy Classification with U-Net Variational Autoencoders for Image Denoising Morphological Classification of Galaxies Through Structural and Star Formation Parameters Using Machine Learning
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:11:37.861589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6dbb05d9-6ae2-4682-a1a5-1f6f031e0cc3 · inbound
Morphologies of SAGAbg low-mass galaxies in Legacy Survey multi-band imaging: dependence on stellar masses, star-formation rates and low-redshift evolution cites this paper.
Morphologies of SAGAbg low-mass galaxies in Legacy Survey multi-band imaging: dependence on stellar masses, star-formation rates and low-redshift evolution Morphological Classification of Galaxies Through Structural and Star Formation Parameters Using Machine Learning
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:12:03.292788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.