Paper Citation Record · LEDGER

Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.02852.

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

pith.paper-citation-record.v1
2007.02852 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:29:14.901794Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:11:15.394709Z

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 f4087438-f820-489a-9d64-116c5e452660 · 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 Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T00:10:25.716721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f66db7ce-b08f-4cba-a3a1-75f628b59e7b · inbound

Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling cites this paper.

Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:29:14.901794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6703496d-c8ea-4a24-88d4-855a4b896fe3 · inbound

In-Sample Evaluation of Subgroups Identified by Generic Machine Learning cites this paper.

In-Sample Evaluation of Subgroups Identified by Generic Machine Learning Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:11:15.396929Z

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.

Observation 3aa9002c-db98-4e00-bd76-b6fbfc6d5520 · inbound

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models cites this paper.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Cross-Fitting and Averaging for Machine Learning Estimation of Heterogeneous Treatment Effects

Reference 249

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.804780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.