Pith. sign in

Paper Citation Record · LEDGER

Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.01502.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.01502 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:28:58.216129Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T21:50:42.695968Z

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 48226bdd-ccbd-4f37-9a37-b5204fb6a604 · inbound

Treatment Effect Estimators as Weighted Outcomes cites this paper.

Treatment Effect Estimators as Weighted Outcomes Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T18:28:58.216129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:28:58.216129Z digest=sha256:f560d8d35102c5cb993fe9a7693f346914296a8622a034e0b6620d4a65a29476

Observation 45d9e688-25c2-463c-a5e7-eb5a29451c76 · inbound

Not All Explanations for Deep Learning Phenomena Are Equally Valuable cites this paper.

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:50:42.842368Z

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.

source=pdf_text observed=2026-08-06T21:50:39.612929Z digest=sha256:9b1b2202196ca6a8e7053ac2c99abf53797ae8de056c3e80882a6335d40dcfb7