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Paper Citation Record · LEDGER

Density Regression with Bayesian Additive Regression Trees

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.12259.

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

pith.paper-citation-record.v1
2112.12259 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:23:13.285170Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T18:29:51.376189Z

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 ce322a1d-9093-459f-823d-ab44f8e4409a · inbound

Oblique Bayesian additive regression trees cites this paper.

Oblique Bayesian additive regression trees Density Regression with Bayesian Additive Regression Trees

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T21:23:13.285170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:23:13.285170Z digest=sha256:d65f4e5d2d59a700df98521570ec0c43e1319b5bde49e19717c386feaba9621d

Observation 49bbb3fc-c514-4dcc-9629-1e8ff99b55fb · inbound

A Unified Bayesian Nonparametric Framework for Ordinal, Survival, and Density Regression Using the Complementary Log-Log Link cites this paper.

A Unified Bayesian Nonparametric Framework for Ordinal, Survival, and Density Regression Using the Complementary Log-Log Link Density Regression with Bayesian Additive Regression Trees

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-09T18:29:51.380328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-09T18:29:51.033862Z digest=sha256:a880d6410dd79d987562afa76e9a0a71d1a25d1182c8c822eea981124459c18f