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Paper Citation Record · LEDGER

Conjugate Bayes for probit regression via unified skew-normal distributions

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.09565.

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

pith.paper-citation-record.v1
1802.09565 v5

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T03:25:07.440442Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:10:04.985251Z

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 0b1d25fe-83ca-4c51-96bd-54731e0b5bfe · inbound

Model selection with proper scoring rules on data sets of time series: prefer the mean scaled score cites this paper.

Model selection with proper scoring rules on data sets of time series: prefer the mean scaled score Conjugate Bayes for probit regression via unified skew-normal distributions

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:10:04.987292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-25T21:44:51.504165Z digest=sha256:397cb154cc3c17fb68f10417719342c08923729e44122f66a0e0fc6812312083

Observation 3562f51f-04b0-4ecb-b70d-412b34457c0c · inbound

End-to-end probabilistic hierarchical forecasting of large hierarchies via probabilistic top-down cites this paper.

End-to-end probabilistic hierarchical forecasting of large hierarchies via probabilistic top-down Conjugate Bayes for probit regression via unified skew-normal distributions

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:39:57.085375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-26T03:25:07.440442Z digest=sha256:78b1a8df0cbdf2689f40c1697b36d97db6db8d2d309aaafcad3c7b6ae2f50c24