Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2011.06225.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T13:23:25.998584Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 3bb1368b-8637-42bd-8fea-4bd2c46109f8 · inbound
Confidence Calibration in Large Language Models cites this paper.
Confidence Calibration in Large Language Models A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T13:23:25.998584Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.