Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2301.13354.

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

pith.paper-citation-record.v1
2301.13354 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:00:20.964530Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:03:30.550599Z

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 2fc021c3-2a70-40f6-8b85-39d543e83abd · inbound

An Online Meta-Level Adaptive Design Framework with Targeted Learning Inference: Applications to Evaluating and Utilizing Surrogate Outcomes in Adaptive Designs cites this paper.

An Online Meta-Level Adaptive Design Framework with Targeted Learning Inference: Applications to Evaluating and Utilizing Surrogate Outcomes in Adaptive Designs Higher Order Spline Highly Adaptive Lasso Estimators of Functional Parameters: Pointwise Asymptotic Normality and Uniform Convergence Rates

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:03:30.553149Z

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 49bfa07b-7579-4646-82e2-54e1147478b7 · 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 Higher Order Spline Highly Adaptive Lasso Estimators of Functional Parameters: Pointwise Asymptotic Normality and Uniform Convergence Rates

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T15:00:20.964530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba3777d8-8f1e-47df-8a2a-75ae9d7b63cd · inbound

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

Targeted Highly Adaptive Lasso Minimum Loss Estimation of Target Functions Higher Order Spline Highly Adaptive Lasso Estimators of Functional Parameters: Pointwise Asymptotic Normality and Uniform Convergence Rates

Reference 9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8740221-6641-4545-b3f7-c9cb2505bed8 · inbound

The V-fold jackknife for semiparametric inference: variance estimation, confidence intervals, and simultaneous confidence bands cites this paper.

The V-fold jackknife for semiparametric inference: variance estimation, confidence intervals, and simultaneous confidence bands Higher Order Spline Highly Adaptive Lasso Estimators of Functional Parameters: Pointwise Asymptotic Normality and Uniform Convergence Rates

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T04:41:48.665159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de5dfc5-3509-413b-a5d9-df09bf4020ca · inbound

Seeing the Forest for the Trees: The Gaussian Process Limit of BART cites this paper.

Seeing the Forest for the Trees: The Gaussian Process Limit of BART Higher Order Spline Highly Adaptive Lasso Estimators of Functional Parameters: Pointwise Asymptotic Normality and Uniform Convergence Rates

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T01:40:24.264665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.