Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Photometric Redshift Estimation with a Convolutional Neural Network: NetZ
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2011.12312.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:41:58.512413Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:10:54.048687Z
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 e233bdcc-418b-45f4-8e44-e989852c2d7d · inbound
SpecPT (Spectroscopy Pre-trained Transformer) Model for Extragalactic Spectroscopy: I. Architecture and Automated Redshift Measurement cites this paper.
SpecPT (Spectroscopy Pre-trained Transformer) Model for Extragalactic Spectroscopy: I. Architecture and Automated Redshift Measurement Photometric Redshift Estimation with a Convolutional Neural Network: NetZ
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:41:58.512413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef72c19e-96bc-45c0-9284-e624de711fe8 · inbound
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts cites this paper.
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts Photometric Redshift Estimation with a Convolutional Neural Network: NetZ
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:10:54.050385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0462d651-7220-4c11-a685-c7759e4c5555 · inbound
SuperMIGHTEE : Spectral Ages of Remnant Radio Galaxy Candidates in the XMM-LSS Field cites this paper.
SuperMIGHTEE : Spectral Ages of Remnant Radio Galaxy Candidates in the XMM-LSS Field Photometric Redshift Estimation with a Convolutional Neural Network: NetZ
Reference 224
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T14:36:35.016368Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.