Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Monitoring Machine Learning Models: Online Detection of Relevant Deviations
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.15187.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:46:00.901067Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T17:36:41.138022Z
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 39f2c7b7-77dd-4690-a8ee-e4992749a898 · inbound
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring cites this paper.
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Monitoring Machine Learning Models: Online Detection of Relevant Deviations
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:46:00.901067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10899281-4ab9-468f-9fa3-db5c9c47187d · inbound
Self-Normalization for CUSUM-based Change Detection in Locally Stationary Time Series cites this paper.
Self-Normalization for CUSUM-based Change Detection in Locally Stationary Time Series Monitoring Machine Learning Models: Online Detection of Relevant Deviations
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:36:41.140687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0dd20be7-906d-41ac-a74a-cb876177d649 · inbound
KC-Agent: A Dual-Process Cognitive Architecture for Efficient ML Model Improvement cites this paper.
KC-Agent: A Dual-Process Cognitive Architecture for Efficient ML Model Improvement Monitoring Machine Learning Models: Online Detection of Relevant Deviations
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:52:36.862494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.