Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Optical variability of AGN in the PTF/iPTF survey
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1611.03082.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:12.034993Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-01T15:35:47.793611Z
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 8d507a0a-a02f-4ccc-b530-b8c2ece9552d · inbound
Continuum optical-UV and X-ray variability of AGN: current results and future challenges cites this paper.
Continuum optical-UV and X-ray variability of AGN: current results and future challenges Optical variability of AGN in the PTF/iPTF survey
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:45:12.034993Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f2e7722-af38-4728-bbe4-2c2dd196c8aa · inbound
A hierarchical Bayesian framework for cosmology using Type 1 AGN variability cites this paper.
A hierarchical Bayesian framework for cosmology using Type 1 AGN variability Optical variability of AGN in the PTF/iPTF survey
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T15:35:47.794753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 25b29155-5ec6-42be-b7d7-3ec4e782aba4 · 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 Optical variability of AGN in the PTF/iPTF survey
Reference 122
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:02:28.999527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.