Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.01502.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:25:23.265677Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:50:42.695968Z
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 48226bdd-ccbd-4f37-9a37-b5204fb6a604 · inbound
Treatment Effect Estimators as Weighted Outcomes Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 306c6a77-4668-45b5-9e00-cd7bc584c8c0 · inbound
When do Random Forests work? Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c56802d-c30b-4acb-9701-3c54326bb4f8 · inbound
Prediction Models That Learn to Avoid Missing Values Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45d9e688-25c2-463c-a5e7-eb5a29451c76 · inbound
Not All Explanations for Deep Learning Phenomena Are Equally Valuable Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers
Reference 2022
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.