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Paper Citation Record · LEDGER

Estimation of subsidiary performance metrics under optimal policies

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.04265.

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

pith.paper-citation-record.v1
2401.04265 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 2026-08-11T00:10:25.755612Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:05:47.296328Z

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 119e9e96-f4d0-4756-bd30-45aa6aeddf2d · inbound

Nonparametric tests of treatment effect homogeneity for policy-makers cites this paper.

Nonparametric tests of treatment effect homogeneity for policy-makers Estimation of subsidiary performance metrics under optimal policies

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:05:47.300413Z

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=pdf_text observed=2026-05-23T20:05:43.871212Z digest=sha256:1ea5a3c2f34ea02d7fc8a451cef871398d3945f1889ae96cbfc0b6a69f44e5bb

Observation e4bc833a-f2ab-41f6-b402-b4487bf12c63 · inbound

Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data cites this paper.

Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data Estimation of subsidiary performance metrics under optimal policies

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T00:10:25.755612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:10:25.755612Z digest=sha256:c66b70ad57301f22880cc50bd70514aa9a5362f728fdf327d05130c06337f091