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Paper Citation Record · LEDGER

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

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.

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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:25:23.265677Z

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:fe59088a42e40a8879c9e0284a3ffc9e6edb1dc47e8ba97f4604024fe9c2b359

Observation 306c6a77-4668-45b5-9e00-cd7bc584c8c0 · inbound

When do Random Forests work? cites this paper.

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

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T12:25:23.265677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:25:23.265677Z digest=sha256:e8b7bb588bb1c2e4b180c37a4ea6a7820d4a702f18b5798cbfcbe939480752ba

Observation 1c56802d-c30b-4acb-9701-3c54326bb4f8 · inbound

Prediction Models That Learn to Avoid Missing Values cites this paper.

Prediction Models That Learn to Avoid Missing Values Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T23:59:58.033270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:59:58.033270Z digest=sha256:d162cab1a89442735190f3924bf409176cc4d223b554e03fd641bcd60bb0aa4f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:50:39.612929Z digest=sha256:55bd53581fbe26e0aea0a6fed4a64e220061b9e524ce7736e7607fa8449b1a8a