Paper Citation Record · LEDGER

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection

As of 10 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2405.03063.

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

pith.paper-citation-record.v1
2405.03063 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T01:04:30.997254Z

measured 61 of 61 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T03:42:28.670733Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T11:55:42.380738Z

Reference resolution

60 of 60 outbound references displayed

verified exact6
verified fuzzy54
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06ff46e5-9ca6-43c6-8da1-7fd57d47223b · outbound

This paper cites Generalization error in high-dimensional perceptrons: Approaching bayes error with convex optimization.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Generalization error in high-dimensional perceptrons: Approaching bayes error with convex optimization

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.182903Z

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 1ed12322-9bdd-4aed-9f88-809338fda75b · outbound

This paper cites A leave-one-out approach to approximate message passing.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection A leave-one-out approach to approximate message passing

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:05:54.726108Z

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 f8387215-c085-4f40-9d8c-fb4dba60651e · outbound

This paper cites Cand\'es.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Cand\'es

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.176844Z

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 4c957045-0fef-4b34-8eae-bc477fde2b8f · outbound

This paper cites Second-order stein: Sure for sure and other applications in high-dimensional inference.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Second-order stein: Sure for sure and other applications in high-dimensional inference

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.160228Z

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 abc25cc0-76f9-4cef-bb10-3f10f48a95c5 · outbound

This paper cites De-biasing the lasso with degrees-of-freedom adjustment.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection De-biasing the lasso with degrees-of-freedom adjustment

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.174288Z

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 8fb80563-cfeb-4348-9675-ef1acf842b5f · outbound

This paper cites Debiasing convex regularized estimators and interval estimation in linear models.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Debiasing convex regularized estimators and interval estimation in linear models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.179896Z

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 9e7ef0e0-251f-4a11-a759-d532505d7959 · outbound

This paper cites Controlling the false discovery rate: a practical and powerful approach to multiple testing.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Controlling the false discovery rate: a practical and powerful approach to multiple testing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.162903Z

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 fa46f977-307b-435f-9765-a19ac15475b4 · outbound

This paper cites Proximity of probability distributions in terms of fourier--stieltjes transforms.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Proximity of probability distributions in terms of fourier--stieltjes transforms

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.157351Z

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 59891fb9-f48d-4b2a-813f-a3f5582219a4 · outbound

This paper cites Concentration of empirical distribution functions with applications to non-iid models.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Concentration of empirical distribution functions with applications to non-iid models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.152277Z

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 0c66b931-7bd8-4fe6-8187-59969c7ce151 · outbound

This paper cites Covering the sphere by equal spherical balls.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Covering the sphere by equal spherical balls

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.167937Z

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 5cd22768-e57f-485b-9959-e973df6d5b91 · outbound

This paper cites Inequalities.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Inequalities

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.165427Z

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 ce79a14f-eded-45fb-af18-eab96a7eb773 · outbound

This paper cites Algorithmic stability and generalization performance.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Algorithmic stability and generalization performance

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.170564Z

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 56d591d5-4f4b-4ef7-a657-03e03f994d3b · outbound

This paper cites Statistical significance in high-dimensional linear models.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Statistical significance in high-dimensional linear models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.154738Z

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 581b241b-c8f4-4601-878d-0619bcbd0f06 · outbound

This paper cites High-dimensional statistics with a view toward applications in biology.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection High-dimensional statistics with a view toward applications in biology

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.066165Z

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 88b23625-c24a-46ff-af2b-2395eb34fbd8 · outbound

This paper cites Panning for gold: model-x knockoffs for high dimensional controlled variable selection.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Panning for gold: model-x knockoffs for high dimensional controlled variable selection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.109840Z

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 a974ea34-b923-4806-8bf6-ab597025ab4d · outbound

This paper cites The lasso with general gaussian designs with applications to hypothesis testing.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection The lasso with general gaussian designs with applications to hypothesis testing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.063483Z

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 01cfb33e-afcd-48b2-96ce-6044d33d42d6 · outbound

This paper cites Noisy matrix completion: Understanding statistical guarantees for convex relaxation via nonconvex optimization.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Noisy matrix completion: Understanding statistical guarantees for convex relaxation via nonconvex optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.088166Z

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 5d3a4613-fdba-474f-8058-c01b018ce767 · outbound

This paper cites Double/debiased/neyman machine learning of treatment effects.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Double/debiased/neyman machine learning of treatment effects

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.114972Z

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 55174189-c898-428b-83b5-fa45419573d3 · outbound

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

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Double/debiased machine learning for treatment and structural parameters

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.132432Z

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 385bb595-fab2-40a2-8f57-e5ff51960eb9 · outbound

This paper cites High dimensional robust m-estimation: Asymptotic variance via approximate message passing.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection High dimensional robust m-estimation: Asymptotic variance via approximate message passing

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.074946Z

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 b015cb54-71bf-4c09-a41b-3ab2b42c125a · outbound

This paper cites On the impact of predictor geometry on the performance on high-dimensional ridge-regularized generalized robust regression estimators.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection On the impact of predictor geometry on the performance on high-dimensional ridge-regularized generalized robust regression estimators

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.101729Z

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 64e9e1a4-67b1-48b1-9560-21cadb8c89f9 · outbound

This paper cites On robust regression with high-dimensional predictors.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection On robust regression with high-dimensional predictors

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.072090Z

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 df90d18b-2822-4bbf-a393-0b8dbb4f4a58 · outbound

This paper cites Ipad: stable interpretable forecasting with knockoffs inference.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Ipad: stable interpretable forecasting with knockoffs inference

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.069165Z

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 ff0fe771-2cef-4135-af37-fef88f8c3f1d · outbound

This paper cites Approximate message passing algorithms for rotationally invariant matrices.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Approximate message passing algorithms for rotationally invariant matrices

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.135186Z

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 1c37a317-242d-436c-b859-f6f8807b645f · outbound

This paper cites One-at-a-time knockoffs: controlled false discovery rate with higher power.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection One-at-a-time knockoffs: controlled false discovery rate with higher power

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:05:54.730200Z

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 acf3f14f-25fa-4401-ba14-7092074b2db8 · outbound

This paper cites Universality of regularized regression estimators in high dimensions.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Universality of regularized regression estimators in high dimensions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.127033Z

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 41092805-a95e-4e29-9bf1-3722f1708d67 · outbound

This paper cites The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.112743Z

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 88cc904e-e580-4ace-af54-a9415cce3107 · outbound

This paper cites Controlling the false discoveries in lasso.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Controlling the false discoveries in lasso

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.137781Z

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 1f399b05-27e5-405a-90e1-3d19deae4b7e · outbound

This paper cites A flexible framework for hypothesis testing in high dimensions.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection A flexible framework for hypothesis testing in high dimensions

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.124451Z

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 5d5944b9-ec69-4d7d-9397-bc3896bcf440 · outbound

This paper cites Confidence intervals and hypothesis testing for high-dimensional regression.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Confidence intervals and hypothesis testing for high-dimensional regression

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.085654Z

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 3e9c5fb2-8a04-47a9-8d43-7cf753ecc915 · outbound

This paper cites Hypothesis testing in high-dimensional regression under the gaussian random design model: Asymptotic theory.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Hypothesis testing in high-dimensional regression under the gaussian random design model: Asymptotic theory

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.140548Z

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 3a6fb36d-0cb1-4a47-ac1e-2e3f567ebba3 · outbound

This paper cites Debiasing the lasso: Optimal sample size for gaussian designs.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Debiasing the lasso: Optimal sample size for gaussian designs

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.098948Z

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 d0b7bd54-0118-42cc-abba-23cca41f1230 · outbound

This paper cites Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.104083Z

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 74595256-3533-476e-b4bf-75a045607b3d · outbound

This paper cites Black-box tests for algorithmic stability.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Black-box tests for algorithmic stability

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.143298Z

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 21cd8e69-93df-4655-a7c9-15ba39c637b4 · outbound

This paper cites Bounding the smallest singular value of a random matrix without concentration.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Bounding the smallest singular value of a random matrix without concentration

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.052596Z

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 1536d46d-7aaa-4543-9014-a803af58015b · outbound

This paper cites Asymptotics for high dimensional regression m-estimates: fixed design results.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Asymptotics for high dimensional regression m-estimates: fixed design results

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.093250Z

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 fe4aa68f-fd64-4ea2-ad7b-b9b2a9a4f2b4 · outbound

This paper cites A non-asymptotic distributional theory of approximate message passing for sparse and robust regression.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection A non-asymptotic distributional theory of approximate message passing for sparse and robust regression

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:05:54.738348Z

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 75a42d34-8ffd-4b50-a425-a44bb18d3bf5 · outbound

This paper cites Causal and Selective Inference in Complex Statistical Models.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Causal and Selective Inference in Complex Statistical Models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.145893Z

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 245c21cf-03af-45a6-b6a3-ae6842a6bf93 · outbound

This paper cites Spectrum-aware adjustment: A new debiasing framework with applications to principal components regression.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Spectrum-aware adjustment: A new debiasing framework with applications to principal components regression

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:05:54.734430Z

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 1d69aed8-1a75-420a-a908-bd16e40539cb · outbound

This paper cites Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.095516Z

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 4c3b4fdc-d2df-4c9f-a8c4-7dc27411f854 · outbound

This paper cites From soft-minoration to information-constrained optimal transport and spiked tensor models.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection From soft-minoration to information-constrained optimal transport and spiked tensor models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.129485Z

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 be42cf7f-22a6-4a6e-ae1d-f8ed7ad75e32 · outbound

This paper cites Power analysis of knockoff filters for correlated designs.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Power analysis of knockoff filters for correlated designs

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.047205Z

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 8a35072f-684d-4d60-914b-7b26bb7c9795 · outbound

This paper cites Second-order converses via reverse hypercontractivity.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Second-order converses via reverse hypercontractivity

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.148564Z

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 ccdb5e13-eafb-44e5-809e-4469a556a958 · outbound

This paper cites Fast and powerful conditional randomization testing via distillation.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Fast and powerful conditional randomization testing via distillation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.060921Z

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 e9c84380-c114-4704-8d8d-09559ad6d4be · outbound

This paper cites Implicit regularization in nonconvex statistical estimation: Gradient descent converges linearly for phase retrieval and matrix completion.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Implicit regularization in nonconvex statistical estimation: Gradient descent converges linearly for phase retrieval and matrix completion

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.058482Z

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 a6da7cd1-240b-403a-8ef7-13a1bb0e9d3a · outbound

This paper cites The distribution of the lasso: Uniform control over sparse balls and adaptive parameter tuning.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection The distribution of the lasso: Uniform control over sparse balls and adaptive parameter tuning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.044408Z

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 c4d8f756-b109-4183-848f-0e8ff0c31269 · outbound

This paper cites Universality of empirical risk minimization.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Universality of empirical risk minimization

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.090717Z

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 0299eb4f-a8a9-4a47-8f46-5dc4b1019cd4 · outbound

This paper cites Vector approximate message passing for the generalized linear model.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Vector approximate message passing for the generalized linear model

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.106674Z

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Observation 9710bd49-0aa3-479a-910a-88308ad57350 · outbound

This paper cites The holdout randomization test for feature selection in black box models.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection The holdout randomization test for feature selection in black box models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.055463Z

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Observation 87ed6805-c72c-47b4-a9b4-03b20816de25 · outbound

This paper cites Regularized linear regression: A precise analysis of the estimation error.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Regularized linear regression: A precise analysis of the estimation error

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.121820Z

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Observation 0d2c8439-7417-41e4-93f2-41213e112fa1 · outbound

This paper cites On asymptotically optimal confidence regions and tests for high-dimensional models.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection On asymptotically optimal confidence regions and tests for high-dimensional models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.118147Z

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Observation 08b0ec47-186d-4ab5-b8de-6016f6c07231 · outbound

This paper cites Probability in high dimension.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Probability in high dimension

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.079647Z

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Observation 004456f4-ecc1-4bc0-b6d0-e8274303f02d · outbound

This paper cites Estimation in rotationally invariant generalized linear models via approximate message passing.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Estimation in rotationally invariant generalized linear models via approximate message passing

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.082273Z

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Observation 516a1508-b351-4239-86e6-eabb0b4ea45a · outbound

This paper cites High-dimensional probability.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection High-dimensional probability

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.077233Z

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Observation 40b22b36-78c1-4678-9c84-6cccfec9f409 · outbound

This paper cites High-dimensional probability: An introduction with applications in data science, volume 47.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection High-dimensional probability: An introduction with applications in data science, volume 47

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.032706Z

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Observation c6276460-70f9-445f-9387-91bfbdb19de4 · outbound

This paper cites A Power and Prediction Analysis for Knockoffs with Lasso Statistics.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection A Power and Prediction Analysis for Knockoffs with Lasso Statistics

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-24T01:05:54.742449Z

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Observation 9b2319cb-6ba5-4867-9069-e2baa1c2ec12 · outbound

This paper cites Controlling false discovery rate using gaussian mirrors.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Controlling false discovery rate using gaussian mirrors

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.029853Z

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Observation 7e57a464-2b16-44a9-af49-cd009a51c57e · outbound

This paper cites Confidence intervals for low dimensional parameters in high dimensional linear models.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Confidence intervals for low dimensional parameters in high dimensional linear models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.036119Z

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Observation 219f7c73-bc3c-430a-8128-d9ef00525b0c · outbound

This paper cites Approximate Message Passing for orthogonally invariant ensembles: Multivariate non-linearities and spectral initialization.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Approximate Message Passing for orthogonally invariant ensembles: Multivariate non-linearities and spectral initialization

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:05:54.747371Z

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Observation 21c03096-0ba8-4802-9370-17af30afdcb7 · outbound

This paper cites Post-selection inference via algorithmic stability.

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection Post-selection inference via algorithmic stability

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T01:05:55.049982Z

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Pith citing papers

Observation 81f5e118-b343-471a-95f3-72cbd4d54c5c · inbound

Accelerating Conformal Prediction via Approximate Leave-One-Out cites this paper.

Accelerating Conformal Prediction via Approximate Leave-One-Out Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T11:55:42.382444Z

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