Paper Citation Record · LEDGER

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models

As of 21 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 4 inbound Pith citation observations for arXiv:2506.17214.

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

pith.paper-citation-record.v1
2506.17214 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:15:35.073014Z

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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:53:00.318638Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:53:02.196110Z

Reference resolution

23 of 23 outbound references displayed

verified exact1
verified fuzzy12
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58cc25e0-ce9b-4dee-811d-4edd0bb46185 · outbound

This paper cites The highly adaptive lasso estimator.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models The highly adaptive lasso estimator

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.933297Z

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 4d4c4bc3-5bb1-49eb-bbf9-a754031d4345 · outbound

This paper cites Fast rates for empirical risk minimization over c\`adl\`ag functions with bounded sectional variation norm.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Fast rates for empirical risk minimization over c\`adl\`ag functions with bounded sectional variation norm

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:34.905936Z

Source-reported events for the cited work

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Observation cdac6794-562d-46a0-9a80-62d6ce8e5c2f · outbound

This paper cites The sandwich (robust covariance matrix) estimator.Unpublished manuscript, 1998.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models The sandwich (robust covariance matrix) estimator.Unpublished manuscript, 1998

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.897430Z

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 fc7724b2-3e59-4ebf-bd6b-a946f2cbf56a · outbound

This paper cites High-dimensional simultaneous inference with the bootstrap.Test, 26:685–719, 2017.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models High-dimensional simultaneous inference with the bootstrap.Test, 26:685–719, 2017

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.864202Z

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 534c3c84-b93e-4307-b7dc-d9334444c21a · outbound

This paper cites Scalable collaborative targeted learning for high- dimensional data.Statistical methods in medical research, 28(2):532–554, 2019.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Scalable collaborative targeted learning for high- dimensional data.Statistical methods in medical research, 28(2):532–554, 2019

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.837156Z

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 4a72ee1a-921a-43ee-9b7d-248022b1f60b · outbound

This paper cites Springer International Publishing,, 2018.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Springer International Publishing,, 2018

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.804292Z

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 25c6c4eb-38a2-4b2a-83ff-2a5de4bcd416 · outbound

This paper cites One-step TMLE for targeting cause-specific absolute risks and survival curves.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models One-step TMLE for targeting cause-specific absolute risks and survival curves

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:15:35.304417Z

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 1bc8cae8-ca0a-4433-be29-b311ed23d36e · outbound

This paper cites Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society Series B: Statistical Methodology, 58(1):267–288, 1996.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society Series B: Statistical Methodology, 58(1):267–288, 1996

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:34.952344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5586efe-e6b8-473c-a33c-4e8284584363 · outbound

This paper cites Springer, 2006.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Springer, 2006

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:34.957912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fd20d14-9e7f-4ac8-aa61-675171a77c78 · outbound

This paper cites Adaptive debiased machine learning using data-driven model selection techniques.arXiv preprint arXiv:2307.12544, 2023.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Adaptive debiased machine learning using data-driven model selection techniques.arXiv preprint arXiv:2307.12544, 2023

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:34.965585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 209d4ddd-b37b-4b46-89dc-279a9f2bde45 · outbound

This paper cites A generally efficient targeted minimum loss based estimator based on the highly adaptive lasso.The international journal of biostatistics, 13(2), 2017.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models A generally efficient targeted minimum loss based estimator based on the highly adaptive lasso.The international journal of biostatistics, 13(2), 2017

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.725694Z

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 03dd5f6a-e8de-4f45-bcce-e87a666e59a7 · outbound

This paper cites Higher Order Spline Highly Adaptive Lasso Estimators of Functional Parameters: Pointwise Asymptotic Normality and Uniform Convergence Rates.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Higher Order Spline Highly Adaptive Lasso Estimators of Functional Parameters: Pointwise Asymptotic Normality and Uniform Convergence Rates

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:34.977743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a4be2f6-9db0-4d88-8e43-47819321cb76 · outbound

This paper cites Springer, 2011.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Springer, 2011

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:15:34.984729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc217d4-07f5-4efb-a1d8-f5b1c11384eb · outbound

This paper cites A generally efficient hal-tmle.Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies, pages 95–102, 2018.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models A generally efficient hal-tmle.Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies, pages 95–102, 2018

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.676432Z

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 3e711832-1f0e-4a7b-8f29-c9074c6ccd9f · outbound

This paper cites Springer, 1996.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Springer, 1996

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.644079Z

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 9122c85f-b01d-4a2f-b10f-7f26ddc5c4d5 · outbound

This paper cites Targeted maximum likelihood based estimation for longitudinal mediation analysis.Journal of Causal Inference, 13(1):20230013, 2025.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Targeted maximum likelihood based estimation for longitudinal mediation analysis.Journal of Causal Inference, 13(1):20230013, 2025

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.616643Z

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 23db2b62-5e62-4a5e-8c7b-ac53a31449d2 · outbound

This paper cites an unresolved cited work.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:15:35.584232Z

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 051221f9-42b0-48b7-9929-08dba9ed3719 · outbound

This paper cites Regularization and variable selection via the elastic net.Journal of the Royal Statistical Society Series B: Statistical Methodology, 67(2):301–320, 2005.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Regularization and variable selection via the elastic net.Journal of the Royal Statistical Society Series B: Statistical Methodology, 67(2):301–320, 2005

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.531008Z

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 800f0813-e40d-424a-ace7-561498234a4d · outbound

This paper cites an unresolved cited work.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:15:35.501358Z

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 7df33f62-b2dd-4fcd-99bd-f01eae48ad7e · outbound

This paper cites an unresolved cited work.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:15:35.472039Z

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 d69d4011-5c4a-41b0-9012-367d441dc2ff · outbound

This paper cites an unresolved cited work.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:15:35.438185Z

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 5fc5f7e0-dbc1-40b8-ab0a-61924668737b · outbound

This paper cites Choose the (possibly line-searched or run linear regression) step size ˆεthat maximize the log likelihood (or minimize the loss) and set ˆβ=β (0) + ˆεˆα.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models Choose the (possibly line-searched or run linear regression) step size ˆεthat maximize the log likelihood (or minimize the loss) and set ˆβ=β (0) + ˆεˆα

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.398741Z

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 36a01cf8-fdff-488a-9d7b-c34181516fe7 · outbound

This paper cites finer-grained.

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models finer-grained

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:15:35.366553Z

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.

Pith citing papers

Observation 4389f7a4-583a-448d-815a-24fcffd9c063 · inbound

Targeted Deep Architectures: A TMLE-Based Framework for Robust Causal Inference in Neural Networks cites this paper.

Targeted Deep Architectures: A TMLE-Based Framework for Robust Causal Inference in Neural Networks Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:53:02.233023Z

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 8b5aa098-3dc6-4e0d-b243-b4a3fbbafdcd · inbound

When Does Trial-Real-World Data Fusion Improve Precision? Model Auditing and Selection-Aware Inference for Adaptive-TMLE cites this paper.

When Does Trial-Real-World Data Fusion Improve Precision? Model Auditing and Selection-Aware Inference for Adaptive-TMLE Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-12T07:03:09.673604Z

Source-reported events for the cited work

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Observation d36c36fb-e5c8-4dd1-87ec-310130e86559 · inbound

When Does Trial-Real-World Data Fusion Improve Precision? Model Auditing and Selection-Aware Inference for Adaptive-TMLE cites this paper.

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T09:01:33.376841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd337a7f-8225-4986-a984-563ad3fa73ce · inbound

Targeted Highly Adaptive Lasso Minimum Loss Estimation of Target Functions cites this paper.

Targeted Highly Adaptive Lasso Minimum Loss Estimation of Target Functions Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T23:41:51.893495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.