Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Supernova Photometric Classification Pipelines Trained on Spectroscopically Classified Supernovae from the Pan-STARRS1 Medium-Deep Survey
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.07422.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:54:41.092423Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:26:54.643978Z
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 42101466-85fd-4839-8fec-dd47b8557458 · inbound
On the cosmological performance of photometrically classified supernovae with machine learning cites this paper.
On the cosmological performance of photometrically classified supernovae with machine learning Supernova Photometric Classification Pipelines Trained on Spectroscopically Classified Supernovae from the Pan-STARRS1 Medium-Deep Survey
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:54:41.092423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 440168cc-4db5-494a-a887-7cea92bb6ccb · inbound
Toward decision-aware AI for LSST-scale time-domain astronomy cites this paper.
Toward decision-aware AI for LSST-scale time-domain astronomy Supernova Photometric Classification Pipelines Trained on Spectroscopically Classified Supernovae from the Pan-STARRS1 Medium-Deep Survey
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:26:54.645408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.