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Paper Citation Record · LEDGER

Canonical Correlation Forests

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1507.05444.

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

pith.paper-citation-record.v1
1507.05444 v6

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:23:13.301465Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T19:39:55.822686Z

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 3848e40b-013c-4ab9-b532-f27545bfee81 · inbound

Oblique Bayesian additive regression trees cites this paper.

Oblique Bayesian additive regression trees Canonical Correlation Forests

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T21:23:13.301465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:23:13.301465Z digest=sha256:912a957fd4553c54a63f96c218569d1302a67949ac915edd4b9c5d17311d6baa

Observation 2df9cc43-beaa-42a0-95cd-b53bdd6afdfb · inbound

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules cites this paper.

SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules Canonical Correlation Forests

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:39:55.829003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T19:39:55.536365Z digest=sha256:abd69aa98a9f7969032ea42cb2d7a12674e56ae7de44ef2492df4000c83e61f5