Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:26:55.714514Z
Paper Citation Record · LEDGER
Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation
As of 16 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2602.08142.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
5 of 5 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 66087319-56d4-49e6-a180-064bc7f5e1ae · outbound
This paper cites Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation.
Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-03T03:28:21.972605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1368d7af-10cc-47d5-b66d-a58b6bb9be9e · outbound
This paper cites Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.
Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:26:55.708942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a141566-d94f-45a6-b6e8-69c9c80cd33b · outbound
This paper cites Snapshot Ensembles: Train 1, get M for free.
Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation Snapshot Ensembles: Train 1, get M for free
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:26:55.692363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 175aeb27-6708-4a04-b992-0b88f9396709 · outbound
This paper cites Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift.
Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:26:55.714514Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13b63c4c-4c01-4d81-84ac-5b28a8a8acc0 · outbound
This paper cites Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift.
Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift
Reference 2022
- Resolution
- verified exact
- local_arxiv, observed 2026-08-03T03:28:22.214934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.