Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Automatically detecting data drift in machine learning classifiers
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.05672.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:54:26.615643Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T21:15:39.301963Z
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 4380f15c-6306-4a00-a171-d910671375a3 · inbound
Privacy Drift: Evolving Privacy Concerns in Incremental Learning cites this paper.
Privacy Drift: Evolving Privacy Concerns in Incremental Learning Automatically detecting data drift in machine learning classifiers
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:54:26.615643Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29730a16-5b57-4382-97e6-e029ff4a2e21 · inbound
Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization cites this paper.
Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization Automatically detecting data drift in machine learning classifiers
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:02:02.281880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af771e0f-3140-4c49-b3a7-9d57bb54885a · inbound
Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift cites this paper.
Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift Automatically detecting data drift in machine learning classifiers
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T21:15:39.303170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.