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Paper Citation Record · LEDGER

hdtg: An R package for high-dimensional truncated normal simulation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.01097.

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

pith.paper-citation-record.v1
2210.01097 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:04:29.435621Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:51:22.298668Z

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 9e7f48ec-3c36-45dd-9f3f-faf783954dd0 · inbound

Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression cites this paper.

Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression hdtg: An R package for high-dimensional truncated normal simulation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T23:04:29.435621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:04:29.435621Z digest=sha256:b227e15e670ca3935912a7ded2107f1cbf85c019837199530d74de7937dfd06f

Observation 240e4d7c-36e5-4bb5-8d1f-d9bb49abe70d · inbound

Large Bayesian VARs for Binary and Censored Variables cites this paper.

Large Bayesian VARs for Binary and Censored Variables hdtg: An R package for high-dimensional truncated normal simulation

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:51:22.315679Z

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=arxiv_source observed=2026-08-07T11:51:22.242715Z digest=sha256:ee6f213dd759aa81602dd97c48cab7a989349231c4a09f049a2d16c7e0804a2b