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Paper Citation Record · LEDGER

Is rotation forest the best classifier for problems with continuous features?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1809.06705.

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

pith.paper-citation-record.v1
1809.06705 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:24:54.338531Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T08:26:04.224005Z

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 6f01f0b2-fa4f-42e0-80f8-2f845198a447 · inbound

Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression cites this paper.

Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression Is rotation forest the best classifier for problems with continuous features?

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:26:04.227692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T08:25:39.644834Z digest=sha256:3d2e3d372fbf73af6fb5258a4265c7a95aed3a28b2a204284f11204713781f00

Observation e11351e9-b9c5-4a0e-b6ed-3d0dc9026c4b · inbound

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach cites this paper.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Is rotation forest the best classifier for problems with continuous features?

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:54.937011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:54.937011Z digest=sha256:a673f324766ee98d5e03efab2debff60ff2608e81b0307bf53fb5d200c89ab22

Observation 115a07a2-01c4-451c-a83e-41de6e1dca12 · inbound

TS2TabPFN: Time Series Classification and Extrinsic Regression through Feature Extraction and a Tabular Foundation Model cites this paper.

TS2TabPFN: Time Series Classification and Extrinsic Regression through Feature Extraction and a Tabular Foundation Model Is rotation forest the best classifier for problems with continuous features?

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T00:24:54.338531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:24:54.338531Z digest=sha256:c2ba227cd818f192f9f9b13cc4f595fe56c0f87422a05d3860cbef2b87c90e47