Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The QUEST-La Silla AGN variability survey: connection between AGN variability and black hole physical properties
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1808.00967.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:33.912214Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-01T15:35:47.796553Z
Reference resolution
0 of 0 outbound references displayed
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- 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 5e6facfa-1b86-4fef-8a30-74a4412c6395 · 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 The QUEST-La Silla AGN variability survey: connection between AGN variability and black hole physical properties
Reference 273
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:45:33.912214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33e3cc6a-e29c-4e7e-ac40-4d1fc16fe620 · 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 The QUEST-La Silla AGN variability survey: connection between AGN variability and black hole physical properties
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T15:35:47.797879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation da923791-e364-4113-bdc3-0fca449faa3b · 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 The QUEST-La Silla AGN variability survey: connection between AGN variability and black hole physical properties
Reference 123
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:02:29.061033Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.