Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.04950.
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 2026-08-06T18:24:53.966184Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:40:01.033232Z
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 66d7faba-61da-4d35-a029-dba159ac5fd5 · inbound
Last Layer Hamiltonian Monte Carlo cites this paper.
Last Layer Hamiltonian Monte Carlo Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:24:53.966184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fa3bb98-5d29-4a96-bf0c-1a97b9e2ea5d · inbound
Statistical inference with belief functions: A survey cites this paper.
Statistical inference with belief functions: A survey Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:20:55.487737Z
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 dad3c8f6-bdce-4c0f-b61c-c7ac5eef344e · inbound
Conformalised imprecise inference for robust extrapolation under limited data cites this paper.
Conformalised imprecise inference for robust extrapolation under limited data Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:54:01.196021Z
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 65cfb235-db9f-49b3-a4ab-540dbba9aeb1 · inbound
What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics cites this paper.
What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T17:40:01.034746Z
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 d6b66716-1ec5-4d8c-884b-6e98a3233e93 · inbound
Decision-Aligned Evaluation of Uncertainty Quantification cites this paper.
Decision-Aligned Evaluation of Uncertainty Quantification Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T12:59:52.258510Z
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.