Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PyRelationAL: a python library for active learning research and development
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.11117.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:06:19.578107Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T10:19:24.757015Z
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 5ad615d1-c4f6-49b0-8bcb-8747034e35dd · inbound
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology cites this paper.
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology PyRelationAL: a python library for active learning research and development
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:06:19.578107Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba60c3e2-306d-4cd0-b4e5-d7152774f7e9 · inbound
When three experiments are better than two: Avoiding intractable correlated aleatoric uncertainty by leveraging a novel bias--variance tradeoff cites this paper.
When three experiments are better than two: Avoiding intractable correlated aleatoric uncertainty by leveraging a novel bias--variance tradeoff PyRelationAL: a python library for active learning research and development
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:19:24.763816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.