Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How to avoid machine learning pitfalls: a guide for academic researchers
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2108.02497.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:44.082353Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:17:37.147374Z
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 c799a58f-57de-42e6-a190-97f981c357ab · inbound
Fairness in Federated Learning: Fairness for Whom? cites this paper.
Fairness in Federated Learning: Fairness for Whom? How to avoid machine learning pitfalls: a guide for academic researchers
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:45:18.043579Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c26e7ba-e351-4aca-8757-e82c9f11d74e · inbound
Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation cites this paper.
Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation How to avoid machine learning pitfalls: a guide for academic researchers
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:09:39.895768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 725b44ee-6488-4e9e-9da7-85238a7c80c9 · 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 How to avoid machine learning pitfalls: a guide for academic researchers
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:03:44.082353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 634547a5-5b2d-4b93-86a5-78b342671488 · inbound
Towards a more realistic evaluation of machine learning models for bearing fault diagnosis cites this paper.
Towards a more realistic evaluation of machine learning models for bearing fault diagnosis How to avoid machine learning pitfalls: a guide for academic researchers
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:20:38.659222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e1bcde93-a360-4efc-9d80-20cbc3960b17 · inbound
A prior-free blind detection of information leakage from model predictions cites this paper.
A prior-free blind detection of information leakage from model predictions How to avoid machine learning pitfalls: a guide for academic researchers
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T04:17:37.148806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.