Paper Citation Record · LEDGER

RieszBoost: Gradient Boosting for Riesz Regression

As of 11 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 3 inbound Pith citation observations for arXiv:2501.04871.

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

pith.paper-citation-record.v1
2501.04871 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:29:07.899920Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T03:05:44.393410Z

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

37 of 37 outbound references displayed

verified exact1
verified fuzzy24
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 2e9f387f-a2f2-44ae-968c-5a5c578d48be · outbound

This paper cites Introductory Functional Analysis with Applications.

RieszBoost: Gradient Boosting for Riesz Regression Introductory Functional Analysis with Applications

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.565474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9a948c9e-5a32-4f3f-bdcf-c629d6e3d31b · outbound

This paper cites Robins, Andrea Rotnitzky, and Lue Ping Zhao.

RieszBoost: Gradient Boosting for Riesz Regression Robins, Andrea Rotnitzky, and Lue Ping Zhao

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.555313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b579c07-decf-4142-9be0-acb92ff84bb4 · outbound

This paper cites Neyman’s Repeated Sampling Approach to Completely Randomized Experiments.

RieszBoost: Gradient Boosting for Riesz Regression Neyman’s Repeated Sampling Approach to Completely Randomized Experiments

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.545055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3c25fb1f-230f-44f5-9b15-b774036bcbfa · outbound

This paper cites Bickel, C.A.J.

RieszBoost: Gradient Boosting for Riesz Regression Bickel, C.A.J

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.532832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 76175793-4174-45bb-b572-e40dae7cd7d3 · outbound

This paper cites van der Laan and J.M.

RieszBoost: Gradient Boosting for Riesz Regression van der Laan and J.M

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.519529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 69052b61-37d2-4d23-bd7a-0a015a0b4b08 · outbound

This paper cites an unresolved cited work.

RieszBoost: Gradient Boosting for Riesz Regression Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:29:08.510088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 26dd869f-8c9d-4d42-99fe-17665153d97c · outbound

This paper cites van der Vaart.

RieszBoost: Gradient Boosting for Riesz Regression van der Vaart

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.498878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3cd270c4-2407-4ac2-91ea-65e70af3801e · outbound

This paper cites Newey, and Rahul Singh.

RieszBoost: Gradient Boosting for Riesz Regression Newey, and Rahul Singh

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:07.789169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b28e401b-2d0a-48b3-a45b-761c152eddc4 · outbound

This paper cites van der Laan and Daniel Rubin.

RieszBoost: Gradient Boosting for Riesz Regression van der Laan and Daniel Rubin

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.485906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 78a55b26-f6ea-4d01-943d-34367bd5ef43 · outbound

This paper cites Longitudinal Generalizations of the Average Treatment Effect on the Treated for Multi-valued and Continuous Treatments.

RieszBoost: Gradient Boosting for Riesz Regression Longitudinal Generalizations of the Average Treatment Effect on the Treated for Multi-valued and Continuous Treatments

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:07.797146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bebe191-8c0d-448b-83e7-9cf18f3f557f · outbound

This paper cites Automatic Debiased Machine Learning via Riesz Regression.

RieszBoost: Gradient Boosting for Riesz Regression Automatic Debiased Machine Learning via Riesz Regression

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:07.801153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e4e918d-5fbf-48b4-a209-fe334dce1e96 · outbound

This paper cites RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests.

RieszBoost: Gradient Boosting for Riesz Regression RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:07.806231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 959be986-1186-4828-8678-1a240ad59077 · outbound

This paper cites The Balancing Act in Causal Inference.

RieszBoost: Gradient Boosting for Riesz Regression The Balancing Act in Causal Inference

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:07.811813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41de0f3c-bcbf-4457-8025-a20f541c0fa1 · outbound

This paper cites Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies.

RieszBoost: Gradient Boosting for Riesz Regression Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.474955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b27eb44b-fd32-4390-a736-281240e6df1d · outbound

This paper cites Graham, Cristine Campos De Xavier Pinto, and Daniel Egel.

RieszBoost: Gradient Boosting for Riesz Regression Graham, Cristine Campos De Xavier Pinto, and Daniel Egel

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.463884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f785b99-57fd-4ef4-9840-a52af5491929 · outbound

This paper cites Zubizarreta.

RieszBoost: Gradient Boosting for Riesz Regression Zubizarreta

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:07.822931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d23020bb-a57f-4fa7-81f7-7545189f7cda · outbound

This paper cites On the implied weights of linear regression for causal inference.

RieszBoost: Gradient Boosting for Riesz Regression On the implied weights of linear regression for causal inference

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:29:08.154941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 272a69e5-4e08-42e4-9344-042ba301fe16 · outbound

This paper cites Friedman.

RieszBoost: Gradient Boosting for Riesz Regression Friedman

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.452669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 33c922e9-a221-44c5-a81d-26c01c9180e9 · outbound

This paper cites An empirical comparison of supervised learning algorithms.

RieszBoost: Gradient Boosting for Riesz Regression An empirical comparison of supervised learning algorithms

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.441075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d8c7c8b-dd83-44c1-815e-763681c546d6 · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

RieszBoost: Gradient Boosting for Riesz Regression XGBoost: A Scalable Tree Boosting System

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.428621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 34fb44fc-438c-4ddd-a879-083c9ac7c672 · outbound

This paper cites LightGBM: A Highly Efficient Gradient Boosting Decision Tree.

RieszBoost: Gradient Boosting for Riesz Regression LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.417991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15c8a5c4-cde5-4ec3-a20a-9b6e12551bf3 · outbound

This paper cites Tabular data: Deep learning is not all you need.

RieszBoost: Gradient Boosting for Riesz Regression Tabular data: Deep learning is not all you need

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.406625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7a69160c-b3e1-406b-8721-9f26edd5e9d0 · outbound

This paper cites When Do Neural Nets Outperform Boosted Trees on Tabular Data?.

RieszBoost: Gradient Boosting for Riesz Regression When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:07.846835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7ab311d-c648-4a15-9ec2-8ecdee3c9bd0 · outbound

This paper cites Deep Neural Networks and Tabular Data: A Survey.

RieszBoost: Gradient Boosting for Riesz Regression Deep Neural Networks and Tabular Data: A Survey

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.395090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 96dd116f-bf01-4c1d-acd4-7edb9dbd722b · outbound

This paper cites Friedman.

RieszBoost: Gradient Boosting for Riesz Regression Friedman

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.384414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 799c5028-fc84-4991-9163-59f027317ff3 · outbound

This paper cites Population Intervention Causal Effects Based on Stochastic Interventions.

RieszBoost: Gradient Boosting for Riesz Regression Population Intervention Causal Effects Based on Stochastic Interventions

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:07.857449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ede22892-1ce4-40cf-aada-6d792a960cc4 · outbound

This paper cites Hoffman, and Edward J.

RieszBoost: Gradient Boosting for Riesz Regression Hoffman, and Edward J

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:07.861431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29dfe643-eb2c-4bf1-807c-c06d3045b715 · outbound

This paper cites Asymptotic Theory for Cross-validated Tar- geted Maximum Likelihood Estimation.

RieszBoost: Gradient Boosting for Riesz Regression Asymptotic Theory for Cross-validated Tar- geted Maximum Likelihood Estimation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.374085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eb243796-da65-4c9c-af3c-f2fcc7f3188f · outbound

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

RieszBoost: Gradient Boosting for Riesz Regression Double/debiased machine learning for treatment and structural parameters

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.362869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 82e70ca4-ae41-4fa7-8bf0-be885442658e · outbound

This paper cites Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension.

RieszBoost: Gradient Boosting for Riesz Regression Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:07.872683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac2ca7c-7730-4527-87c1-13239157563b · outbound

This paper cites Smoothing noisy data with spline functions.

RieszBoost: Gradient Boosting for Riesz Regression Smoothing noisy data with spline functions

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.350893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation feabfd17-5cdd-4ef2-9810-857e7b2a8771 · outbound

This paper cites Tibshirani.

RieszBoost: Gradient Boosting for Riesz Regression Tibshirani

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.337221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 24cc7773-15d5-47cc-8f3e-1b94f482ce71 · outbound

This paper cites Boosting with early stopping: Convergence and consistency.

RieszBoost: Gradient Boosting for Riesz Regression Boosting with early stopping: Convergence and consistency

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.325584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 90544ba8-d2d8-4963-a204-c56c41321ca4 · outbound

This paper cites Lassoed Tree Boosting, December.

RieszBoost: Gradient Boosting for Riesz Regression Lassoed Tree Boosting, December

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.313695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c57c490e-e4bc-413c-921b-189e46c4fa02 · outbound

This paper cites van der Laan.

RieszBoost: Gradient Boosting for Riesz Regression van der Laan

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.301372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 76880ea1-3c83-4e77-a1be-e846a6dd176b · outbound

This paper cites 1q. Therefore, to derive the EIF, we must take this dependency into consideration (e.g. using the delta method on the inverse probability parameter 1 PpA“1q and the “partial.

RieszBoost: Gradient Boosting for Riesz Regression 1q. Therefore, to derive the EIF, we must take this dependency into consideration (e.g. using the delta method on the inverse probability parameter 1 PpA“1q and the “partial

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:29:08.290378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ec6e5174-7ea9-4cfe-88e8-377d9cd9c876 · outbound

This paper cites Lassoed Tree Boosting.

RieszBoost: Gradient Boosting for Riesz Regression Lassoed Tree Boosting

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T21:29:07.891060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6f7e0dfa-0528-4fab-ac0d-24828ef3cc4f · inbound

Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference cites this paper.

Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference RieszBoost: Gradient Boosting for Riesz Regression

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:50:31.406420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e67e016-b3c1-473d-8c3c-1266fff405f0 · inbound

A Riesz Representer Perspective on Targeted Learning cites this paper.

A Riesz Representer Perspective on Targeted Learning RieszBoost: Gradient Boosting for Riesz Regression

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-09T21:03:18.784236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 12c0ee15-5ef4-4463-9b45-809ce41f39ad · inbound

Outcome-adapted Automatic Debiased Machine Learning cites this paper.

Outcome-adapted Automatic Debiased Machine Learning RieszBoost: Gradient Boosting for Riesz Regression

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T03:05:44.393410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.