Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.10266.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T23:49:29.124747Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T07:50:59.017063Z
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 dbf870fe-0944-4157-94e3-a32841efe5ee · inbound
MaaSO: SLO-aware Orchestration of Heterogeneous Model Instances for MaaS cites this paper.
MaaSO: SLO-aware Orchestration of Heterogeneous Model Instances for MaaS Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:49:29.124747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26a75453-ac7e-44c9-be6e-3abc4705f058 · inbound
A Hybrid Intelligent Framework for Uncertainty-Aware Condition Monitoring of Industrial Systems cites this paper.
A Hybrid Intelligent Framework for Uncertainty-Aware Condition Monitoring of Industrial Systems Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:50:59.024217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.