Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges: A Review
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.16810.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:43:14.335478Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T17:43:14.574038Z
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 ea6b527b-5c93-42b7-8a0f-45b75a94e477 · inbound
OOD Detection with immature Models cites this paper.
OOD Detection with immature Models Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges: A Review
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T17:43:14.579406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 29aa79e2-3b11-43c7-bcd8-10f5143f40f8 · inbound
Marine Engine Fault Dataset: Open-Access Data under Controlled Reference and Fault Scenario Conditions cites this paper.
Marine Engine Fault Dataset: Open-Access Data under Controlled Reference and Fault Scenario Conditions Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges: A Review
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:58:27.373332Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.