Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Causal machine learning for high-dimensional mediation analysis using interventional effects mapped to a target trial
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2504.15834.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T13:18:20.166358Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T07:39:38.431498Z
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 2801aa32-b4d6-4b86-a3f1-28f57763fe96 · inbound
Semi- and non-parametric approaches to individualized treatment regimes in the presence of causal mediation cites this paper.
Semi- and non-parametric approaches to individualized treatment regimes in the presence of causal mediation Causal machine learning for high-dimensional mediation analysis using interventional effects mapped to a target trial
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T07:39:38.433101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.