Paper Citation Record · LEDGER

Detection of data drift and outliers affecting machine learning model performance over time

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2012.09258.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2012.09258 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:40.138335Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-04T20:50:45.112157Z

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 a155493a-8319-4ed1-af90-4bedc6b4d5d1 · inbound

Importance of User Control in Data-Centric Steering for Healthcare Experts cites this paper.

Importance of User Control in Data-Centric Steering for Healthcare Experts Detection of data drift and outliers affecting machine learning model performance over time

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:40.138335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d1920a6-4cdb-4570-a922-ce0735e00231 · inbound

Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications cites this paper.

Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications Detection of data drift and outliers affecting machine learning model performance over time

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T10:46:01.696517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8506f8cb-b3cb-4838-af89-8147ee6a4df0 · inbound

GTS_Forecaster: a novel deep learning based geodetic time series forecasting toolbox with python cites this paper.

GTS_Forecaster: a novel deep learning based geodetic time series forecasting toolbox with python Detection of data drift and outliers affecting machine learning model performance over time

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-04T20:50:45.117541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1bcb441b-eb5d-4663-93fb-55289108ad32 · inbound

Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees cites this paper.

Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees Detection of data drift and outliers affecting machine learning model performance over time

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T08:50:37.847598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.