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Paper Citation Record · LEDGER

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1508.04409.

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

pith.paper-citation-record.v1
1508.04409 v2

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:55:55.040455Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:04:26.541956Z

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 2947f87c-667d-4e62-b47a-bbc649c92ef8 · inbound

Locally Optimized Random Forests cites this paper.

Locally Optimized Random Forests ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:04:26.549947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T11:04:26.493330Z digest=sha256:ce2d97387d6fc068a162af974f711364b5bec971356d8b8d372f7604c395a651

Observation 5f8528aa-1b79-463a-bd2b-9787c80b2faa · inbound

The use of cross validation in the analysis of designed experiments cites this paper.

The use of cross validation in the analysis of designed experiments ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-15T19:55:55.040455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:55:55.040455Z digest=sha256:165d8ba5b0df8f20016e31eb60e792a98ba6c3993415a323fd653310f5fac888