Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SuperNNova: an open-source framework for Bayesian, Neural Network based supernova classification
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1901.06384.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:15.848774Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T15:43:26.949098Z
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 118feb0d-4dc7-4af8-af04-a847b1aefefc · inbound
A Reassessment of the Pantheon+ and DES 5YR Calibration Uncertainties: Dovekie cites this paper.
A Reassessment of the Pantheon+ and DES 5YR Calibration Uncertainties: Dovekie SuperNNova: an open-source framework for Bayesian, Neural Network based supernova classification
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:28:15.848774Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f69f63ee-b7d7-4e3c-a449-5304aa7d3f99 · inbound
Modeling the probability distribution for cosmological analysis with photometrically classified samples cites this paper.
Modeling the probability distribution for cosmological analysis with photometrically classified samples SuperNNova: an open-source framework for Bayesian, Neural Network based supernova classification
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T15:43:26.950564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 721f1a62-576e-4622-9afc-21c1b25dc24d · inbound
A Simulation Based Inference Approach to Modelling of Type Ia Supernova Populations cites this paper.
A Simulation Based Inference Approach to Modelling of Type Ia Supernova Populations SuperNNova: an open-source framework for Bayesian, Neural Network based supernova classification
Reference 230
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:39:17.475808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.