Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.09056.
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 2026-08-07T12:01:36.208070Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T14:26:04.339772Z
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 c0c5ddd3-62b5-45e7-b474-817a7b2aa6db · inbound
Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks cites this paper.
Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:01:36.208070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12f139ef-044a-429a-b2c6-7b965c2437f7 · inbound
Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification cites this paper.
Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:15:51.997586Z
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 72e3e072-986e-4c15-81ae-6b6436b030d6 · inbound
Do Not Imitate, Reinforce: Iterative Classification via Belief Refinement cites this paper.
Do Not Imitate, Reinforce: Iterative Classification via Belief Refinement Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:26:04.341693Z
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.