Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Detecting Concept Drift With Neural Network Model Uncertainty
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.01873.
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 2026-08-06T16:52:32.326404Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T04:40:59.368346Z
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 b13d9924-4f9a-4bd6-84da-23ebdb5eecc8 · inbound
IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift cites this paper.
IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift Detecting Concept Drift With Neural Network Model Uncertainty
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:52:32.326404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5e455bb-774b-4a8b-b96f-2989e1efac86 · inbound
McNdroid: A Longitudinal Multimodal Benchmark for Robust Drift Detection in Android Malware cites this paper.
McNdroid: A Longitudinal Multimodal Benchmark for Robust Drift Detection in Android Malware Detecting Concept Drift With Neural Network Model Uncertainty
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:40:59.374967Z
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.