Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Validity of Bayesian Neural Networks for Uncertainty Estimation
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1912.01530.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:45:38.621833Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T01:34:30.367711Z
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 c2369802-ed6a-4233-94c3-ee1727ff9ad4 · inbound
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout cites this paper.
Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout On the Validity of Bayesian Neural Networks for Uncertainty Estimation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:45:38.621833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 887be8d0-66c2-46fd-b644-e42173d6e812 · inbound
Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models cites this paper.
Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models On the Validity of Bayesian Neural Networks for Uncertainty Estimation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:46:17.463672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50d1aced-02dd-4e17-affe-c14e62b9ff0b · inbound
Don't Collapse Your Features: Why CenterLoss Hurts OOD Detection and Multi-Scale Mahalanobis Wins cites this paper.
Don't Collapse Your Features: Why CenterLoss Hurts OOD Detection and Multi-Scale Mahalanobis Wins On the Validity of Bayesian Neural Networks for Uncertainty Estimation
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T01:34:30.371452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.