Paper Citation Record · LEDGER

Semiparametric doubly robust targeted double machine learning: a review

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2203.06469.

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

pith.paper-citation-record.v1
2203.06469 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:35:42.539259Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

39
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 76667b6c-e48a-43f7-b74f-d8339cad92a1 · inbound

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

Fast convergence rates for dose-response estimation Semiparametric doubly robust targeted double machine learning: a review

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:04:26.335390Z

Source-reported events for the cited work

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Observation 01a06327-7727-45af-b5ef-5258c08377b5 · inbound

Flexible Nonparametric Inference for Causal Effects under the Front-Door Model cites this paper.

Flexible Nonparametric Inference for Causal Effects under the Front-Door Model Semiparametric doubly robust targeted double machine learning: a review

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:23:58.008723Z

Source-reported events for the cited work

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Observation 928534a5-b859-4053-bda3-7ff3cf519226 · inbound

Quantifying Individual Risk for Binary Outcomes cites this paper.

Quantifying Individual Risk for Binary Outcomes Semiparametric doubly robust targeted double machine learning: a review

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:35:58.778369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0835e545-53e8-4399-9e2a-d0cdc7c63bf5 · inbound

PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units cites this paper.

PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units Semiparametric doubly robust targeted double machine learning: a review

Reference 36

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Observation 53e23150-5a3b-4347-a9cb-ee412aa1afdd · inbound

Causal effect on the number of life years lost due to a specific event: Average treatment effect and variable importance cites this paper.

Causal effect on the number of life years lost due to a specific event: Average treatment effect and variable importance Semiparametric doubly robust targeted double machine learning: a review

Reference 854

Resolution: unresolved; no resolver link, observed 2026-08-09T20:15:06.569930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8098730b-f6d2-4af3-b10a-c0b6eecbc83a · inbound

Semiparametric Inference for Partially Identifiable Data Fusion Estimands via Double Machine Learning cites this paper.

Semiparametric Inference for Partially Identifiable Data Fusion Estimands via Double Machine Learning Semiparametric doubly robust targeted double machine learning: a review

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T19:55:28.319589Z

Source-reported events for the cited work

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Observation 8a1c54c9-c141-4a60-ac0e-5aad7b5e0b9a · inbound

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) cites this paper.

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required) Semiparametric doubly robust targeted double machine learning: a review

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T19:42:27.453490Z

Source-reported events for the cited work

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Observation 84d8cc0e-1f8d-402b-a3b6-c8450142ba50 · inbound

Targeted Regularization for Causal Effect Estimation with Exponential Dispersion Family Outcomes cites this paper.

Targeted Regularization for Causal Effect Estimation with Exponential Dispersion Family Outcomes Semiparametric doubly robust targeted double machine learning: a review

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:25:33.874830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a1707ab-9a7d-49af-9907-4058581a0fe6 · inbound

Model-free Methods for Event History Analysis and Efficient Adjustment (PhD Thesis) cites this paper.

Model-free Methods for Event History Analysis and Efficient Adjustment (PhD Thesis) Semiparametric doubly robust targeted double machine learning: a review

Reference 79

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Observation 7148ec6a-3b91-4015-b038-9af62932e1ef · inbound

Transporting results from a trial to an external target population when trial participation impacts adherence cites this paper.

Transporting results from a trial to an external target population when trial participation impacts adherence Semiparametric doubly robust targeted double machine learning: a review

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baabb0ef-87cc-46a4-a4a3-4373f1f37017 · inbound

Discussion of "Causal and counterfactual views of missing data models" by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, & James M. Robins cites this paper.

Discussion of "Causal and counterfactual views of missing data models" by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, & James M. Robins Semiparametric doubly robust targeted double machine learning: a review

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:13.811265Z

Source-reported events for the cited work

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Observation 80d912f9-81ac-4d1e-ad72-d9754e9db9f7 · inbound

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition cites this paper.

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition Semiparametric doubly robust targeted double machine learning: a review

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:12:29.735689Z

Source-reported events for the cited work

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Observation 2b6a96e2-5db7-4cb3-a871-9733ee326b4b · inbound

Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring cites this paper.

Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring Semiparametric doubly robust targeted double machine learning: a review

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:21:04.857335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8119b239-5db2-47f3-9f38-f28772fe5839 · inbound

Model-Agnostic Bounds for Augmented Inverse Probability Weighted Estimators' Wald-Confidence Interval Coverage in Randomized Controlled Trials cites this paper.

Model-Agnostic Bounds for Augmented Inverse Probability Weighted Estimators' Wald-Confidence Interval Coverage in Randomized Controlled Trials Semiparametric doubly robust targeted double machine learning: a review

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T15:00:17.048784Z

Source-reported events for the cited work

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Observation d324c677-fbc7-40c0-907d-6204dc189e1d · inbound

Targeted Synthetic Control Method cites this paper.

Targeted Synthetic Control Method Semiparametric doubly robust targeted double machine learning: a review

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.052981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ca1a26c5-776b-439a-9d0f-d745f478ecec · inbound

State policy heterogeneity analyses: considerations and proposals cites this paper.

State policy heterogeneity analyses: considerations and proposals Semiparametric doubly robust targeted double machine learning: a review

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T03:16:46.780675Z

Source-reported events for the cited work

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Observation 8a50e66d-056e-4b44-b472-09789a9c4a96 · inbound

Conformal Inference for Experimental Attrition in Social Science Research cites this paper.

Conformal Inference for Experimental Attrition in Social Science Research Semiparametric doubly robust targeted double machine learning: a review

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:43:23.387517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffc8ef12-5dc5-45ea-97a6-2112de43cb7e · inbound

crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding cites this paper.

crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding Semiparametric doubly robust targeted double machine learning: a review

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:20:58.392447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dac799bb-ea2f-4b98-8a8b-a5a09a0fbf1a · inbound

Generative Augmented Inference of LLM-generated Data for Market Research: Theory and Empirical Evidence cites this paper.

Generative Augmented Inference of LLM-generated Data for Market Research: Theory and Empirical Evidence Semiparametric doubly robust targeted double machine learning: a review

Reference 2025

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Observation 4c899238-abc6-4e46-908b-753342527394 · inbound

Debiased neural operators for estimating functionals cites this paper.

Debiased neural operators for estimating functionals Semiparametric doubly robust targeted double machine learning: a review

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:10.592206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3874a06-8f4b-4c1c-94c8-962916d5a790 · inbound

A Semi-Supervised Kernel Two-Sample Test cites this paper.

A Semi-Supervised Kernel Two-Sample Test Semiparametric doubly robust targeted double machine learning: a review

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:26:05.592641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 64433096-792b-4190-91c5-b6529cdfe305 · inbound

Doubly Robust Instrumented Difference-in-Differences cites this paper.

Doubly Robust Instrumented Difference-in-Differences Semiparametric doubly robust targeted double machine learning: a review

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:41:29.762227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 559dc32b-18d0-4478-8cc9-cf68e1ffd2de · inbound

Risk-Controlled Post-Processing of Decision Policies cites this paper.

Risk-Controlled Post-Processing of Decision Policies Semiparametric doubly robust targeted double machine learning: a review

Reference 118

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:36:17.117434Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation af793320-9527-4a55-93cc-721f4c7fef5d · inbound

CIVeX: Causal Intervention Verification for Language Agents cites this paper.

CIVeX: Causal Intervention Verification for Language Agents Semiparametric doubly robust targeted double machine learning: a review

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:37:19.731491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a689cae-8a71-442a-925e-2a61ae410a74 · inbound

Doubly Robust Proxy Causal Learning with Neural Mean Embeddings cites this paper.

Doubly Robust Proxy Causal Learning with Neural Mean Embeddings Semiparametric doubly robust targeted double machine learning: a review

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:16:20.794787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15eb8afa-835b-4a15-8fbf-9e1061f87b32 · 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 Semiparametric doubly robust targeted double machine learning: a review

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:27:38.688094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1de71c8c-50dc-4278-9ecf-e92746bf77cf · inbound

Evaluating causal indirect effects when mediators are left-censored by assay limit of quantification cites this paper.

Evaluating causal indirect effects when mediators are left-censored by assay limit of quantification Semiparametric doubly robust targeted double machine learning: a review

Reference 200

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T03:23:55.817161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21c33587-adee-4b37-9ced-e96384fb5fbb · inbound

Semiparametric Efficient Bilevel Gradient Estimation cites this paper.

Semiparametric Efficient Bilevel Gradient Estimation Semiparametric doubly robust targeted double machine learning: a review

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:43:56.554152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7fb25a47-fd82-4279-8b3b-e76c198a7ff1 · inbound

Causal methods for LLM development and evaluation cites this paper.

Causal methods for LLM development and evaluation Semiparametric doubly robust targeted double machine learning: a review

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:00.821067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fb076972-2a3e-4016-89e3-49a0da2e8ac3 · 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 Semiparametric doubly robust targeted double machine learning: a review

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:13:58.879889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 19400a56-f908-4469-b6c8-045b6e5a6bb6 · inbound

Debiased inference for stochastic treatment interventions with survival outcomes cites this paper.

Debiased inference for stochastic treatment interventions with survival outcomes Semiparametric doubly robust targeted double machine learning: a review

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:56:11.450407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea84a1d9-25b4-4a6c-a52a-a53e00974c25 · inbound

Private Rate-Double-Robust Inference cites this paper.

Private Rate-Double-Robust Inference Semiparametric doubly robust targeted double machine learning: a review

Reference 141

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:49:38.512366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 707b7681-8741-415d-a3d2-a11fedff17b3 · inbound

Doubly cross-fit debiased machine learning of heterogeneous treatment effects under principal stratification cites this paper.

Doubly cross-fit debiased machine learning of heterogeneous treatment effects under principal stratification Semiparametric doubly robust targeted double machine learning: a review

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:34:27.566829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48024cf1-c54d-4e67-8be6-7b490fae573b · inbound

Doubly cross-fit debiased machine learning of heterogeneous treatment effects under principal stratification cites this paper.

Doubly cross-fit debiased machine learning of heterogeneous treatment effects under principal stratification Semiparametric doubly robust targeted double machine learning: a review

Reference 2

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Observation 88ca570c-4c83-4a42-ab26-8f58b41697a0 · inbound

On regression with estimated covariates and conditional effects given the propensity score cites this paper.

On regression with estimated covariates and conditional effects given the propensity score Semiparametric doubly robust targeted double machine learning: a review

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T03:25:08.945715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16ecb848-6281-4a50-bf9b-e69fb995f768 · inbound

A Unified Causal Inference Framework for the Desirability of Outcome Ranking Paradigm in Benefit-Risk Evaluation cites this paper.

A Unified Causal Inference Framework for the Desirability of Outcome Ranking Paradigm in Benefit-Risk Evaluation Semiparametric doubly robust targeted double machine learning: a review

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T17:22:41.446092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.