Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1812.09659.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:25:35.824691Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T13:25:35.902828Z
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 e1be0b7f-6752-4feb-accd-009c4df7b8bb · inbound
Two-stage Federated Phenotyping and Patient Representation Learning cites this paper.
Two-stage Federated Phenotyping and Patient Representation Learning Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T13:25:35.909494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.