Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.12256.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T10:19:24.552550Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T10:19:24.714938Z
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 a32ebdc2-ed90-46e0-9193-aa127b789ea4 · 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 Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:19:24.723772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 757c1019-41fe-4995-aaee-0b54c46ab0b0 · inbound
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores cites this paper.
Uncertainty Quantification for Regression: A Unified Framework based on kernel scores Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:38:48.797576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7f9f3b0-9216-4dcd-abc2-7939d440691f · inbound
Subjective Risk Decomposition: A New View for Uncertainty Quantification cites this paper.
Subjective Risk Decomposition: A New View for Uncertainty Quantification Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:59:40.395731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.