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Paper Citation Record · LEDGER

PySDTest: a Python/Stata Package for Stochastic Dominance Tests

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.10694.

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

pith.paper-citation-record.v1
2307.10694 v2

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 2026-08-15T15:48:11.657784Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:08:10.814658Z

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 4b78ea21-387d-41d7-ba75-f1cf894d26f5 · inbound

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? cites this paper.

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation? PySDTest: a Python/Stata Package for Stochastic Dominance Tests

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T21:08:10.888568Z

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=pdf_text observed=2026-08-05T21:08:08.057987Z digest=sha256:29065d556a68800032e46732236ff94a8117575c1c7b17958531c45f18d7a52f

Observation ba2df10c-569b-46ba-aef2-4e37970226ae · inbound

Cognitive and non-cognitive efficiency gaps between private and public schools in the Latin America region-a hybrid DEA and machine learning approach based on PISA 2022 cites this paper.

Cognitive and non-cognitive efficiency gaps between private and public schools in the Latin America region-a hybrid DEA and machine learning approach based on PISA 2022 PySDTest: a Python/Stata Package for Stochastic Dominance Tests

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T15:48:11.657784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:48:11.657784Z digest=sha256:75efdac381947e876ba0aa94e0048784b67704b59a03f75dc9b7707c5e83bf3a