Paper Citation Record · LEDGER

A Review of Challenges and Opportunities in Machine Learning for Health

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1806.00388.

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

pith.paper-citation-record.v1
1806.00388 v4

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:03:27.069407Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T11:40:44.065836Z

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 30f08383-53d9-44ec-b13f-bb437f6fff33 · inbound

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks cites this paper.

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks A Review of Challenges and Opportunities in Machine Learning for Health

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T11:40:44.069292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b051cf22-301a-4842-9f09-928fdfb55a9e · inbound

Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks cites this paper.

Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks A Review of Challenges and Opportunities in Machine Learning for Health

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T15:43:40.898984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a89399e0-8d10-42dd-8510-10bbfb348f40 · inbound

A Comparative Study of Open-Source Libraries for Synthetic Tabular Data Generation: SDV vs. SynthCity cites this paper.

A Comparative Study of Open-Source Libraries for Synthetic Tabular Data Generation: SDV vs. SynthCity A Review of Challenges and Opportunities in Machine Learning for Health

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:27.069407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1162bdf9-2dc3-4967-a633-3311aa958c8d · inbound

From Staff Messages to Actionable Insights: A Multi-Stage LLM Classification Framework for Healthcare Analytics cites this paper.

From Staff Messages to Actionable Insights: A Multi-Stage LLM Classification Framework for Healthcare Analytics A Review of Challenges and Opportunities in Machine Learning for Health

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T05:26:44.903750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.