Paper Citation Record · LEDGER

Double/Debiased Machine Learning for Treatment and Causal Parameters

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1608.00060.

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

pith.paper-citation-record.v1
1608.00060 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:04:17.675261Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:49:38.489608Z

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 61a9d15e-8e06-4165-969e-79b52437c6b2 · inbound

Policy Evaluation with Latent Confounders via Optimal Balance cites this paper.

Policy Evaluation with Latent Confounders via Optimal Balance Double/Debiased Machine Learning for Treatment and Causal Parameters

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T15:12:51.458344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32a8483c-41c3-4995-af5f-73f4f7a955cf · inbound

Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation cites this paper.

Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation Double/Debiased Machine Learning for Treatment and Causal Parameters

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:48.866176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61ebc6db-e151-4df3-98e0-d229969a1d2a · inbound

Estimation of Treatment Effects in Extreme and Unobserved Data cites this paper.

Estimation of Treatment Effects in Extreme and Unobserved Data Double/Debiased Machine Learning for Treatment and Causal Parameters

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:04:17.675261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10743961-3052-4fe1-8ecf-fe9d0893d9d6 · inbound

Shrinkage-Based Regressions with Many Related Treatments cites this paper.

Shrinkage-Based Regressions with Many Related Treatments Double/Debiased Machine Learning for Treatment and Causal Parameters

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:05:37.997431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1857b33d-f95a-4b9a-bae8-425157374e7c · inbound

Non-overlap Average Treatment Effect Bounds cites this paper.

Non-overlap Average Treatment Effect Bounds Double/Debiased Machine Learning for Treatment and Causal Parameters

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:52:38.769443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 18dc2f8f-48b8-4691-99c1-dcd83fdaf72b · inbound

Recovering Direct Price Effects of Environmental Amenities in Housing Markets: Regression and Causal Machine Learning Model Assessment with Empirical Monte Carlo Simulation cites this paper.

Recovering Direct Price Effects of Environmental Amenities in Housing Markets: Regression and Causal Machine Learning Model Assessment with Empirical Monte Carlo Simulation Double/Debiased Machine Learning for Treatment and Causal Parameters

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:56:27.333858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91e58df2-0d63-40cc-8150-81562b791bed · inbound

Private Rate-Double-Robust Inference cites this paper.

Private Rate-Double-Robust Inference Double/Debiased Machine Learning for Treatment and Causal Parameters

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:49:38.491267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.