Paper Citation Record · LEDGER

Orthogonal Statistical Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1901.09036.

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

pith.paper-citation-record.v1
1901.09036 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:56:59.739721Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T11:55:43.427767Z

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 98c38d43-8cee-4e39-809a-a8abb44c1348 · inbound

Fast convergence rates for dose-response estimation cites this paper.

Fast convergence rates for dose-response estimation Orthogonal Statistical Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:04:26.313527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f9dcb3f9-9a9c-4fab-aa68-fcb61cd931f0 · inbound

Mind the Gap: Optimal and Equitable Encouragement Policies cites this paper.

Mind the Gap: Optimal and Equitable Encouragement Policies Orthogonal Statistical Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:59:02.851515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6c208b03-cd33-411d-881e-1cf9055b2470 · inbound

Debiased Ill-Posed Regression cites this paper.

Debiased Ill-Posed Regression Orthogonal Statistical Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:56:59.739721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a1a4f5d-2e68-4943-a6a7-c10e22bb0090 · inbound

Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective cites this paper.

Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective Orthogonal Statistical Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:06.992767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 208538a9-bd83-4ee5-88d8-97532087ae53 · inbound

Nonparametric inference for sublevel-set probabilities of conditional average treatment effect functions cites this paper.

Nonparametric inference for sublevel-set probabilities of conditional average treatment effect functions Orthogonal Statistical Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:27:38.708596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9634b938-e47d-4fd2-bc47-81a8ffa40698 · inbound

Beyond Differences: Doubly Robust Meta-Learners for Ratio-Based Treatment Effects cites this paper.

Beyond Differences: Doubly Robust Meta-Learners for Ratio-Based Treatment Effects Orthogonal Statistical Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:13:58.884861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78467d62-4ac5-43fc-84c9-8c8934a1acd8 · inbound

Generating Plausible Stress Scenarios via Large Deviations cites this paper.

Generating Plausible Stress Scenarios via Large Deviations Orthogonal Statistical Learning

Reference 246

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T11:55:43.429468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fedc3e67-033d-4119-90a7-93b5d61145bc · inbound

An Extreme Value Perspective on Learning Stress Laws cites this paper.

An Extreme Value Perspective on Learning Stress Laws Orthogonal Statistical Learning

Reference 260

Resolution: unresolved; no resolver link, observed 2026-07-14T09:55:27.630410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.