Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Morphological Classification Model to Identify Unresolved PanSTARRS1 Sources: Application in the ZTF Real-Time Pipeline
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1902.01935.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:52:44.277103Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T17:37:17.267299Z
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 34bf36e6-0ba9-4899-b60f-6bca385c5417 · inbound
SN 2023uqf: An Interacting Supernova Coincident with a High-Energy Neutrino cites this paper.
SN 2023uqf: An Interacting Supernova Coincident with a High-Energy Neutrino A Morphological Classification Model to Identify Unresolved PanSTARRS1 Sources: Application in the ZTF Real-Time Pipeline
Reference 123
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T17:37:17.275208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ae64a488-effc-4b70-bf9e-47923bf4eaff · inbound
VAR-PZnn: A machine-learning framework for AGN photometric redshifts using color and variability-based features cites this paper.
VAR-PZnn: A machine-learning framework for AGN photometric redshifts using color and variability-based features A Morphological Classification Model to Identify Unresolved PanSTARRS1 Sources: Application in the ZTF Real-Time Pipeline
Reference 193
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:02:36.866168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 388b57ab-004f-4acc-ada4-280175698ae6 · inbound
AT 2024qfm: a luminous fast blue optical transient at a redshift of z = 0.2267 identified by Lasair-ZTF cites this paper.
AT 2024qfm: a luminous fast blue optical transient at a redshift of z = 0.2267 identified by Lasair-ZTF A Morphological Classification Model to Identify Unresolved PanSTARRS1 Sources: Application in the ZTF Real-Time Pipeline
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:52:44.277103Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.