Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Causal machine learning methods and use of cross-fitting in settings with high-dimensional confounding
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.15242.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:29:58.867342Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:29:59.649242Z
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 de3eb7ce-a630-4e7c-b3fe-930639ac9c14 · inbound
Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements cites this paper.
Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements Causal machine learning methods and use of cross-fitting in settings with high-dimensional confounding
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T22:29:59.680650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 15b4e701-27e7-4c40-bffd-c5f0a15330ac · inbound
Marginal generalized raking with parametric working models cites this paper.
Marginal generalized raking with parametric working models Causal machine learning methods and use of cross-fitting in settings with high-dimensional confounding
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:15:03.137657Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.