Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Revisiting Essential and Nonessential Settings of Evidential Deep Learning
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.00393.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T18:38:30.129473Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T23:31:15.025198Z
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 be279226-7c36-49c0-ac0a-401d1be532a7 · inbound
Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification cites this paper.
Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification Revisiting Essential and Nonessential Settings of Evidential Deep Learning
Reference 53
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:15:52.372283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation abdb1b8c-fe36-458a-866d-790d6beda5ab · inbound
GEM-FI: Gated Evidential Mixtures with Fisher Modulation cites this paper.
GEM-FI: Gated Evidential Mixtures with Fisher Modulation Revisiting Essential and Nonessential Settings of Evidential Deep Learning
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:31:15.029978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6ea67d9b-870a-4143-ad19-e19a7622b1a7 · inbound
Rethinking Vacuity for OOD Detection in Evidential Deep Learning cites this paper.
Rethinking Vacuity for OOD Detection in Evidential Deep Learning Revisiting Essential and Nonessential Settings of Evidential Deep Learning
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T20:16:09.003796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.