Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.11366.
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 2026-08-10T21:32:04.051508Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:23:02.412505Z
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 37fcdd70-e67e-4805-86e1-b8ef50a5a474 · inbound
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses cites this paper.
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:32:04.051508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e56f02b-0b86-476c-be9f-99f7bd41961a · inbound
Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data cites this paper.
Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:23:02.492620Z
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.