Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fitting Linear Mixed-Effects Models using lme4
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1406.5823.
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 2026-08-14T12:19:51.607132Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T20:15:37.445191Z
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 6dbeb347-dd29-47d7-b9f4-3c41151edae3 · inbound
Preserving Command Line Workflow for a Package Management System using ASCII DAG Visualization cites this paper.
Preserving Command Line Workflow for a Package Management System using ASCII DAG Visualization Fitting Linear Mixed-Effects Models using lme4
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:19:51.607132Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efdd8dbf-3508-480b-b3fc-089c706b5cb9 · inbound
Vision-Language Models Generate More Homogeneous Stories for Phenotypically Black Individuals cites this paper.
Vision-Language Models Generate More Homogeneous Stories for Phenotypically Black Individuals Fitting Linear Mixed-Effects Models using lme4
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:59:00.106211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3f82203-6025-441a-bac6-6ef473e00e75 · inbound
Absolute Risk Prediction for Cannabis Use Disorder in Adolescence and Early Adulthood Using Bayesian Machine Learning cites this paper.
Absolute Risk Prediction for Cannabis Use Disorder in Adolescence and Early Adulthood Using Bayesian Machine Learning Fitting Linear Mixed-Effects Models using lme4
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:15:37.451400Z
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.