Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing
As of 19 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.05005.
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 2026-07-19T06:30:13.599613+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-19T09:35:12.156800Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T09:35:12.746816Z
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 bce861a3-6bd5-449a-be2c-23880d1ee479 · inbound
Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing cites this paper.
Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing
Reference 156
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:35:12.750388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.
Observation dd41acc8-8866-49ef-afbc-360d07c8d710 · inbound
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts cites this paper.
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:06:05.003502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.