Paper Citation Record · LEDGER

Automatic Debiased Machine Learning via Riesz Regression

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2104.14737.

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

pith.paper-citation-record.v1
2104.14737 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:04:50.597035Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:08:37.733321Z

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 ef1cf878-9906-4e17-b0fe-f8e7379de56d · inbound

The causal effects of modified treatment policies under network interference cites this paper.

The causal effects of modified treatment policies under network interference Automatic Debiased Machine Learning via Riesz Regression

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T00:04:50.597035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

RieszBoost: Gradient Boosting for Riesz Regression cites this paper.

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 467eeaf7-ac52-4087-899f-98818b29b959 · inbound

Double Machine Learning for Conditional Moment Restrictions: IV Regression, Proximal Causal Learning and Beyond cites this paper.

Double Machine Learning for Conditional Moment Restrictions: IV Regression, Proximal Causal Learning and Beyond Automatic Debiased Machine Learning via Riesz Regression

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T00:15:58.134775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 813aaf2d-780f-4d19-88bf-0b8e1988c963 · inbound

Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation cites this paper.

Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation Automatic Debiased Machine Learning via Riesz Regression

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T05:11:00.679014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df01980d-41fb-427a-b7e1-2439db413f21 · 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 Automatic Debiased Machine Learning via Riesz Regression

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:50:31.401713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0e3c9e23-1452-412b-8f86-cce8a0969116 · inbound

Debiased neural operators for estimating functionals cites this paper.

Debiased neural operators for estimating functionals Automatic Debiased Machine Learning via Riesz Regression

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:56:10.608280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b90eb5c5-3023-4c25-a1f7-75784a056bd1 · inbound

Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning cites this paper.

Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning Automatic Debiased Machine Learning via Riesz Regression

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:56:36.687904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 811a867c-141f-44bd-bb1c-442c8b03a3aa · inbound

Double/Debiased Machine Learning for Continuous Treatment Effects in Panel Data with Endogeneity cites this paper.

Double/Debiased Machine Learning for Continuous Treatment Effects in Panel Data with Endogeneity Automatic Debiased Machine Learning via Riesz Regression

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:37:55.989829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d16d3d40-cbb1-43ea-a04f-52afb544efff · inbound

Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression cites this paper.

Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression Automatic Debiased Machine Learning via Riesz Regression

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:08:37.734744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6f16b1cf-34b5-4cd2-a8f6-3a3bc07e69b0 · 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 Automatic Debiased Machine Learning via Riesz Regression

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T03:25:08.923182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.