Paper Citation Record · LEDGER

Automatic Doubly Robust Forests

As of 12 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2412.07184.

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

pith.paper-citation-record.v1
2412.07184 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:14:14.703772Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:40:06.520927Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:40:10.322443Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy13
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3df02025-46e9-47a7-b595-2fefe0552a47 · outbound

This paper cites Generalized random forests.

Automatic Doubly Robust Forests Generalized random forests

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:15.199988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d4504c3b-2d98-4dea-aef4-2749ababadcd · outbound

This paper cites EconML : A Python Package for ML-Based Heterogeneous Treatment Effects Estimation.

Automatic Doubly Robust Forests EconML : A Python Package for ML-Based Heterogeneous Treatment Effects Estimation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:15.167579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 21d2c0fd-707b-44af-8b07-a5912ef00a77 · outbound

This paper cites Double/debiased/neyman machine learning of treatment effects.

Automatic Doubly Robust Forests Double/debiased/neyman machine learning of treatment effects

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:15.143231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2df9c411-7447-4c58-9a2a-ecc47aac3e5d · outbound

This paper cites Orthogonal machine learning for demand estimation: High dimensional causal inference in dynamic panels.

Automatic Doubly Robust Forests Orthogonal machine learning for demand estimation: High dimensional causal inference in dynamic panels

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:15.118128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 34525cd2-9e07-40eb-93c6-3ac83b0bba36 · outbound

This paper cites Double/debiased machine learning for treatment and structural parameters.

Automatic Doubly Robust Forests Double/debiased machine learning for treatment and structural parameters

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T19:14:14.614437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 721d9a9d-15b2-4156-b22a-f33d407da127 · outbound

This paper cites Plug-in regularized estimation of high-dimensional parameters in nonlinear semiparametric models.

Automatic Doubly Robust Forests Plug-in regularized estimation of high-dimensional parameters in nonlinear semiparametric models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:15.074943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 892c1b1c-e6cb-4820-bdc3-983307833e27 · outbound

This paper cites Locally robust semiparametric estimation.

Automatic Doubly Robust Forests Locally robust semiparametric estimation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:15.046940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0674508e-431a-4e0e-ab49-49937a0172ae · outbound

This paper cites Riesznet and forestriesz: Automatic debiased machine learning with neural nets and random forests.

Automatic Doubly Robust Forests Riesznet and forestriesz: Automatic debiased machine learning with neural nets and random forests

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:15.021659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bbaacf70-b598-425d-a7fe-d2376ec061af · outbound

This paper cites Automatic debiased machine learning of causal and structural effects.

Automatic Doubly Robust Forests Automatic debiased machine learning of causal and structural effects

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:14.969490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb653037-2643-47c8-bee7-950ce823a553 · outbound

This paper cites Dnn: A two-scale distributional tale of heterogeneous treatment effect inference.

Automatic Doubly Robust Forests Dnn: A two-scale distributional tale of heterogeneous treatment effect inference

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:14.932242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 542fc7d9-9ce4-45ab-8745-82edc1da78fa · outbound

This paper cites Causal effect regularization: automated detection and removal of spurious correlations.

Automatic Doubly Robust Forests Causal effect regularization: automated detection and removal of spurious correlations

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:14.908966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 47263795-20ac-45bd-ba53-f68743a4a4da · outbound

This paper cites A unified approach to interpreting model predictions.

Automatic Doubly Robust Forests A unified approach to interpreting model predictions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T19:14:14.663199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5dd455c-7f5c-4a16-9763-715533205696 · outbound

This paper cites Orthogonal random forest for causal inference.

Automatic Doubly Robust Forests Orthogonal random forest for causal inference

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:14.873966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 79ec5bee-0fb2-4f29-9604-74e26594620f · outbound

This paper cites Empirical bernstein inequalities for u-statistics.

Automatic Doubly Robust Forests Empirical bernstein inequalities for u-statistics

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:14.847749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f9166e0b-8b1a-47ec-82ef-4d629985cee7 · outbound

This paper cites Standard errors for bagged and random forest estimators.

Automatic Doubly Robust Forests Standard errors for bagged and random forest estimators

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:14:14.823400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb4c2f93-962f-41a5-a7c2-7250a6dbaebd · outbound

This paper cites Estimation and inference of heterogeneous treatment effects using random forests.

Automatic Doubly Robust Forests Estimation and inference of heterogeneous treatment effects using random forests

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T19:14:14.688675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32e9d276-2abe-4198-834f-c4906e1fce2b · outbound

This paper cites Nonparametric estimation of causal heterogeneity under high-dimensional confounding.

Automatic Doubly Robust Forests Nonparametric estimation of causal heterogeneity under high-dimensional confounding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T19:14:14.694517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4c8594-5865-4bf0-b647-68d196cd91ee · outbound

This paper cites write newline.

Automatic Doubly Robust Forests write newline

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T19:14:14.703772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ed260b21-4b72-45f0-96c4-0f5084f1a799 · 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 Automatic Doubly Robust Forests

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:40:10.464957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.