Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.14385.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:57:13.464735Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T16:31:08.638127Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 276a7022-f6e1-4801-be7b-0497d743397e · inbound
Do we actually understand the impact of renewables on electricity prices? A causal inference approach Estimating Causal Effects with Double Machine Learning -- A Method Evaluation
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ee8ca72-bcfb-40a0-862a-7999111c91cc · inbound
Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality Estimating Causal Effects with Double Machine Learning -- A Method Evaluation
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dc39f72b-c035-4e1f-87f3-0bdca2b239a7 · inbound
Analytical and Bootstrap Confidence Intervals of Double Machine Learning: Simulation studies and an application to rural-urban difference in obesity prevalence Estimating Causal Effects with Double Machine Learning -- A Method Evaluation
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f188f01-6499-4b3f-96ea-120df96de9b3 · inbound
Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Estimating Causal Effects with Double Machine Learning -- A Method Evaluation
Reference 170
Source-reported events for the cited work
Unavailable: canonical work link unavailable.