Paper Citation Record · LEDGER

Targeted Learning Estimation of Sampling Variance for Improved Inference

As of 21 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2505.10624.

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

pith.paper-citation-record.v1
2505.10624 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:12:37.337157Z

measured 27 of 27 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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verified fuzzy11
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation efb80584-a6a7-47d2-a50b-1988037f8e7d · outbound

This paper cites The Highly Adaptive Lasso Estimator.

Targeted Learning Estimation of Sampling Variance for Improved Inference The Highly Adaptive Lasso Estimator

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:38.162802Z

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Observation f9ed04ec-ddb7-4970-a5e3-e595fa06070b · outbound

This paper cites Bickel et al.

Targeted Learning Estimation of Sampling Variance for Improved Inference Bickel et al

Reference 2

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Observation 0fe4282f-1c4a-4c75-a978-4017247cd8db · outbound

This paper cites One-step targeted maximum likelihood estimation for time-to-event outcomes.

Targeted Learning Estimation of Sampling Variance for Improved Inference One-step targeted maximum likelihood estimation for time-to-event outcomes

Reference 3

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Observation 910706f5-9308-47b7-8af2-15617c22beb1 · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

Targeted Learning Estimation of Sampling Variance for Improved Inference XGBoost: A Scalable Tree Boosting System

Reference 4

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Observation 2d4fc2e2-bdd4-4382-9435-68a7175602f5 · outbound

This paper cites BART: Bayesian Additive Regression Trees.

Targeted Learning Estimation of Sampling Variance for Improved Inference BART: Bayesian Additive Regression Trees

Reference 5

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Observation 007f957c-5a4d-431b-9311-c2bf9abd2d14 · outbound

This paper cites sl3: Modern Pipelines for Machine Learning and Super Learning.

Targeted Learning Estimation of Sampling Variance for Improved Inference sl3: Modern Pipelines for Machine Learning and Super Learning

Reference 6

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Observation efa55f39-e729-4a90-8706-2af7973d753e · outbound

This paper cites tmle: An R Package for Targeted Maximum Like- lihood Estimation.

Targeted Learning Estimation of Sampling Variance for Improved Inference tmle: An R Package for Targeted Maximum Like- lihood Estimation

Reference 7

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Observation 152a5a4c-4b12-4ee8-ad3e-076e410b98fd · outbound

This paper cites One-Step Targeted Minimum Loss-based Esti- mation Based on Universal Least Favorable One-Dimensional Submodels.

Targeted Learning Estimation of Sampling Variance for Improved Inference One-Step Targeted Minimum Loss-based Esti- mation Based on Universal Least Favorable One-Dimensional Submodels

Reference 8

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Observation 8cebbc3d-3f1c-4679-aa49-208961a1950f · outbound

This paper cites Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies.

Targeted Learning Estimation of Sampling Variance for Improved Inference Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies

Reference 9

Resolution: verified exact; doi, observed 2026-08-15T21:12:37.463260Z

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Observation bc8cf4a5-b9a3-4e73-aabb-8f54076333e9 · outbound

This paper cites Targeted Minimum Loss Based Estimation of an Intervention Specific Mean Outcome.

Targeted Learning Estimation of Sampling Variance for Improved Inference Targeted Minimum Loss Based Estimation of an Intervention Specific Mean Outcome

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:38.042868Z

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Observation 995abdbf-3d2c-47d7-836c-f0167b93f25f · outbound

This paper cites Super Learner.

Targeted Learning Estimation of Sampling Variance for Improved Inference Super Learner

Reference 11

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Observation c2cd6cc8-025b-46f2-82a1-233a83430944 · outbound

This paper cites van der Laan and Sherri Rose.

Targeted Learning Estimation of Sampling Variance for Improved Inference van der Laan and Sherri Rose

Reference 12

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Observation 0c1c7795-627c-426a-ada3-318982255a73 · outbound

This paper cites Targeted maximum likelihood learning.

Targeted Learning Estimation of Sampling Variance for Improved Inference Targeted maximum likelihood learning

Reference 13

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Observation 4eb4466d-6b89-4e25-88fd-8368e8ef7a9d · outbound

This paper cites Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials.

Targeted Learning Estimation of Sampling Variance for Improved Inference Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials

Reference 14

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Observation b57de346-e937-4452-958c-3a622397d16d · outbound

This paper cites Effects of Water Quality, Sanitation, Handwashing, and Nutritional Interventions on Diarrhoea and Child Growth in Rural Bangladesh: A Cluster Randomised Controlled Trial.

Targeted Learning Estimation of Sampling Variance for Improved Inference Effects of Water Quality, Sanitation, Handwashing, and Nutritional Interventions on Diarrhoea and Child Growth in Rural Bangladesh: A Cluster Randomised Controlled Trial

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:37.981253Z

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Observation b24b6e8a-8256-45cf-b4d9-c8b00e7b2703 · outbound

This paper cites On the asymptotic distribution of differentiable statistical functions.

Targeted Learning Estimation of Sampling Variance for Improved Inference On the asymptotic distribution of differentiable statistical functions

Reference 16

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Observation f37d67f0-ce93-489e-a49b-f760d431b867 · outbound

This paper cites Applying the causal roadmap to longitudinal national Danish registry data: a case study of second-line diabetes medication and dementia.

Targeted Learning Estimation of Sampling Variance for Improved Inference Applying the causal roadmap to longitudinal national Danish registry data: a case study of second-line diabetes medication and dementia

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:12:37.425419Z

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Observation a8327d2c-5fb1-47bf-85b1-8e273c5c2307 · outbound

This paper cites Causality: Models, Reasoning and Inference.

Targeted Learning Estimation of Sampling Variance for Improved Inference Causality: Models, Reasoning and Inference

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:37.965566Z

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 0d17292f-441d-4a8f-84eb-4d3fd2303725 · outbound

This paper cites Diagnosing and responding to violations in the positivity as- sumption.

Targeted Learning Estimation of Sampling Variance for Improved Inference Diagnosing and responding to violations in the positivity as- sumption

Reference 19

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Observation dfa322e1-a7d5-414f-9137-05f9af18cc8d · outbound

This paper cites Improving Propensity Score Estimators’ Robustness to Model Misspecification Using Super Learner.

Targeted Learning Estimation of Sampling Variance for Improved Inference Improving Propensity Score Estimators’ Robustness to Model Misspecification Using Super Learner

Reference 20

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Observation d0cf3a74-7eb2-4a4c-98b4-914edf9523d3 · outbound

This paper cites Polley and Alan E.

Targeted Learning Estimation of Sampling Variance for Improved Inference Polley and Alan E

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:37.930458Z

Source-reported events for the cited work

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Observation 1c2e00a8-449f-46e9-88f1-d249becfcab8 · outbound

This paper cites R: A Language and Environment for Statistical Computing.

Targeted Learning Estimation of Sampling Variance for Improved Inference R: A Language and Environment for Statistical Computing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:37.912808Z

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 2382d84e-d9da-417a-9e1b-8fa6a335e044 · outbound

This paper cites One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves.

Targeted Learning Estimation of Sampling Variance for Improved Inference One-step targeted maximum likelihood estimation for targeting cause-specific absolute risks and survival curves

Reference 23

Resolution: verified exact; doi, observed 2026-08-15T21:12:37.391439Z

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Observation 563e6a7c-3571-4fb6-b132-0d5fa9d303a4 · outbound

This paper cites Robust variance estimation and inference for causal effect estimation.

Targeted Learning Estimation of Sampling Variance for Improved Inference Robust variance estimation and inference for causal effect estimation

Reference 24

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Reference 25

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Observation 5adbc329-4291-488f-8d28-19e693848036 · outbound

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Reference 696

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Observation 7b873174-a687-42f0-a4e8-cefe5b13284b · outbound

This paper cites doi: 10.1007/978-1-4419-9782-1.

Targeted Learning Estimation of Sampling Variance for Improved Inference doi: 10.1007/978-1-4419-9782-1

Reference 2011

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Pith citing papers

No inbound Pith citation observations are available.