Paper Citation Record · LEDGER

Debiasing the Lasso under Weaker Tail Assumptions

As of 6 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2608.04800.

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

pith.paper-citation-record.v1
2608.04800 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:27:36.516052Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy33
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b1fb7b60-d7f3-4233-886f-18e13cba0bf2 · outbound

This paper cites Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer.Ann Appl Stat, 4(1):53–77, March 2010.

Debiasing the Lasso under Weaker Tail Assumptions Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer.Ann Appl Stat, 4(1):53–77, March 2010

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.462658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 88137973-6278-434b-be4f-2f45c7b692c2 · outbound

This paper cites High-dimensional statistics, with applications to genome-wide association studies.EMS Surv.

Debiasing the Lasso under Weaker Tail Assumptions High-dimensional statistics, with applications to genome-wide association studies.EMS Surv

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.454240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f822d5be-9cb0-4fa0-a318-c71edf46b2ac · outbound

This paper cites Improving genomic prediction using High-Dimensional secondary phenotypes: The genetic latent factor approach.Biom J, 67(5):e70081, October 2025.

Debiasing the Lasso under Weaker Tail Assumptions Improving genomic prediction using High-Dimensional secondary phenotypes: The genetic latent factor approach.Biom J, 67(5):e70081, October 2025

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.446292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 25e2cb37-ed99-4c84-8f46-6b45fd8b3b99 · outbound

This paper cites Sparse discriminant analysis.Technomet- rics, 53(4):406–413, 2011.

Debiasing the Lasso under Weaker Tail Assumptions Sparse discriminant analysis.Technomet- rics, 53(4):406–413, 2011

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.438322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 41b6ec64-7832-4d3e-9dc3-27b034b6cb3e · outbound

This paper cites Variableselectionusingrandomforests.Pattern Recognition Letters, 31(14):2225–2236, 2010.

Debiasing the Lasso under Weaker Tail Assumptions Variableselectionusingrandomforests.Pattern Recognition Letters, 31(14):2225–2236, 2010

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.430007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1c102c1e-40ef-4b16-b0bc-96f47f689bf6 · outbound

This paper cites Handling high-dimensional data with missing values by modern machine learning techniques.J Appl Stat, 50(3):786–804, May 2022.

Debiasing the Lasso under Weaker Tail Assumptions Handling high-dimensional data with missing values by modern machine learning techniques.J Appl Stat, 50(3):786–804, May 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.421785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0071b136-b2d7-443b-9bf9-335bae928935 · outbound

This paper cites Robust high dimensional factor models with applications to statistical machine learning.Stat Sci, 36(2):303–327, April 2021.

Debiasing the Lasso under Weaker Tail Assumptions Robust high dimensional factor models with applications to statistical machine learning.Stat Sci, 36(2):303–327, April 2021

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.413758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fc52d612-89aa-4426-9b56-ca3ba387866c · outbound

This paper cites Inference on treatment effects after selection among high-dimensional controls†.The Review of Economic Studies, 81(2):608–650, 04 2014.

Debiasing the Lasso under Weaker Tail Assumptions Inference on treatment effects after selection among high-dimensional controls†.The Review of Economic Studies, 81(2):608–650, 04 2014

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.405560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ac910b45-7094-48a2-bf0d-190912f139d4 · outbound

This paper cites Sparsemodelsandmethodsforoptimalinstrumentswith an application to eminent domain.Econometrica, 80(6):2369–2429, 2012.

Debiasing the Lasso under Weaker Tail Assumptions Sparsemodelsandmethodsforoptimalinstrumentswith an application to eminent domain.Econometrica, 80(6):2369–2429, 2012

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.397557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f60ab6d8-7005-43c8-86d2-507aa49b9f69 · outbound

This paper cites High-dimensional methods and inference on structural and treatment effects.Journal of Economic Perspectives, 28(2):29–50, May 2014.

Debiasing the Lasso under Weaker Tail Assumptions High-dimensional methods and inference on structural and treatment effects.Journal of Economic Perspectives, 28(2):29–50, May 2014

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.389163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 67d18af0-acad-4abd-b0fc-b1c466cffe52 · outbound

This paper cites Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society: Series B (Methodological), 58(1):267–288, 12 2018.

Debiasing the Lasso under Weaker Tail Assumptions Regression shrinkage and selection via the lasso.Journal of the Royal Statistical Society: Series B (Methodological), 58(1):267–288, 12 2018

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.380995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6a32225f-1f18-4061-a1bc-454c89ad7ddc · outbound

This paper cites an unresolved cited work.

Debiasing the Lasso under Weaker Tail Assumptions Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:27:37.372544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c1860dc5-bc4a-4fd5-b9cb-7f41ab54b15f · outbound

This paper cites On asymptotically optimal confidence regions and tests for high-dimensional models.The Annals of Statistics, 42(3):1166–1202, 2014.

Debiasing the Lasso under Weaker Tail Assumptions On asymptotically optimal confidence regions and tests for high-dimensional models.The Annals of Statistics, 42(3):1166–1202, 2014

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.364043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a945412e-3a81-48d4-96eb-96d1c11b3c2d · outbound

This paper cites Confidence intervals and hypothesis testing for high-dimensional regression.Journal of Machine Learning Research, 15(82):2869–2909, 2014.

Debiasing the Lasso under Weaker Tail Assumptions Confidence intervals and hypothesis testing for high-dimensional regression.Journal of Machine Learning Research, 15(82):2869–2909, 2014

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.355309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8c6cc522-f641-4488-a13e-cc35517e3ff0 · outbound

This paper cites Debiasing the debiased Lasso with bootstrap.Electronic Journal of Statistics, 14(1):2298 – 2337, 2020.

Debiasing the Lasso under Weaker Tail Assumptions Debiasing the debiased Lasso with bootstrap.Electronic Journal of Statistics, 14(1):2298 – 2337, 2020

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.346669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ad62f0b5-a3d2-4892-9880-7cf52470527b · outbound

This paper cites Bellec and Cun-Hui Zhang.

Debiasing the Lasso under Weaker Tail Assumptions Bellec and Cun-Hui Zhang

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.337065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dda8874a-cad1-44a4-be9e-95c69937dc07 · outbound

This paper cites Debiasing the lasso: Optimal sample size for Gaussian designs.The Annals of Statistics, 46(6A):2593 – 2622, 2018.

Debiasing the Lasso under Weaker Tail Assumptions Debiasing the lasso: Optimal sample size for Gaussian designs.The Annals of Statistics, 46(6A):2593 – 2622, 2018

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.328789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b3a2e34a-beb0-4986-bd86-8e4c94281547 · outbound

This paper cites High-dimensionalinferenceforgeneralizedlinearmodelswith hidden confounding.J.

Debiasing the Lasso under Weaker Tail Assumptions High-dimensionalinferenceforgeneralizedlinearmodelswith hidden confounding.J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.320606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 25948ac7-16ac-4758-8ac4-6be198b36656 · outbound

This paper cites Debiasedlassoforgeneralizedlinearmodelswithadivergingnumberofcovariates.

Debiasing the Lasso under Weaker Tail Assumptions Debiasedlassoforgeneralizedlinearmodelswithadivergingnumberofcovariates

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.311904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a0e789db-e224-4a9a-964d-0b8e8862af0f · outbound

This paper cites Confidence intervals for high-dimensional inverse covariance estimation.

Debiasing the Lasso under Weaker Tail Assumptions Confidence intervals for high-dimensional inverse covariance estimation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.303059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 86b6eeb8-8e2a-4be6-820e-8818d21fa61d · outbound

This paper cites Statistical inference on high-dimensional covariate-dependent gaussian graphical regressions.Biometrics, 81(4), October 2025.

Debiasing the Lasso under Weaker Tail Assumptions Statistical inference on high-dimensional covariate-dependent gaussian graphical regressions.Biometrics, 81(4), October 2025

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.292038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 93ed0970-1333-4e58-9629-2ef6e292b7f6 · outbound

This paper cites Ageneraltheoryofhypothesistestsandconfidenceregionsforsparsehighdimensional models.The Annals of Statistics, 45(1):158 – 195, 2017.

Debiasing the Lasso under Weaker Tail Assumptions Ageneraltheoryofhypothesistestsandconfidenceregionsforsparsehighdimensional models.The Annals of Statistics, 45(1):158 – 195, 2017

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.282649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e6fb05fb-2483-4356-a85d-1046494230fe · outbound

This paper cites Probability and Its Applications (New York).

Debiasing the Lasso under Weaker Tail Assumptions Probability and Its Applications (New York)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.273090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a6deb1d0-d6b8-4cd4-b132-b355da90f586 · outbound

This paper cites Oxford University Press, 02 2013.

Debiasing the Lasso under Weaker Tail Assumptions Oxford University Press, 02 2013

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.263568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a629216c-ac4c-4590-ad9e-b6c2981784e0 · outbound

This paper cites an unresolved cited work.

Debiasing the Lasso under Weaker Tail Assumptions Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:27:37.255350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d4089ebd-7ca1-4f74-89de-80e3829210c7 · outbound

This paper cites Stable recovery of sparse signals and an oracle inequality.IEEE Trans.

Debiasing the Lasso under Weaker Tail Assumptions Stable recovery of sparse signals and an oracle inequality.IEEE Trans

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.247197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0a0b1eb9-7d47-49ca-95a5-15d5f4dabb9d · outbound

This paper cites an unresolved cited work.

Debiasing the Lasso under Weaker Tail Assumptions Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:27:37.238856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6dffa246-dfb4-4fae-960d-0375ac3311d6 · outbound

This paper cites The Dantzig selector: Statistical estimation when p is much larger than n.

Debiasing the Lasso under Weaker Tail Assumptions The Dantzig selector: Statistical estimation when p is much larger than n

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.230005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bd93543c-8021-471e-a5fc-27dfb2fc7c2b · outbound

This paper cites SimultaneousanalysisofLassoandDantzigselector.

Debiasing the Lasso under Weaker Tail Assumptions SimultaneousanalysisofLassoandDantzigselector

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.221381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 48d1f9a9-99af-4cd6-b85b-721d46241de7 · outbound

This paper cites OntheconditionsusedtoproveoracleresultsfortheLasso.Electronic Journal of Statistics, 3(none):1360 – 1392, 2009.

Debiasing the Lasso under Weaker Tail Assumptions OntheconditionsusedtoproveoracleresultsfortheLasso.Electronic Journal of Statistics, 3(none):1360 – 1392, 2009

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.211825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c60f9eaf-279b-4912-bd63-8c78bd1523ce · outbound

This paper cites Thelowertailofrandomquadraticformswithapplicationstoordinaryleastsquares.

Debiasing the Lasso under Weaker Tail Assumptions Thelowertailofrandomquadraticformswithapplicationstoordinaryleastsquares

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.201695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a8bfd542-9f61-44d6-ae0a-ca35845b49b1 · outbound

This paper cites Tony Cai and Zijian Guo.

Debiasing the Lasso under Weaker Tail Assumptions Tony Cai and Zijian Guo

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.192112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a359b166-a1ae-46b7-be45-63375f22e898 · outbound

This paper cites A remark on moment-dependent phase transitions in high- dimensional gaussian approximations.Statistics & Probability Letters, 211:110149, 2024.

Debiasing the Lasso under Weaker Tail Assumptions A remark on moment-dependent phase transitions in high- dimensional gaussian approximations.Statistics & Probability Letters, 211:110149, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.182167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d241500d-1bbe-4bc0-9eb2-1be6dab39915 · outbound

This paper cites Springer Science & Business Media, 2011.

Debiasing the Lasso under Weaker Tail Assumptions Springer Science & Business Media, 2011

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:37.094571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cc9813eb-ccb9-4019-831c-8667b28eedbd · outbound

This paper cites Reconstruction from anisotropic random measurements.

Debiasing the Lasso under Weaker Tail Assumptions Reconstruction from anisotropic random measurements

Reference 35

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T16:27:36.906900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7889009f-cc60-4bdb-8312-b3cddc69de75 · outbound

This paper cites Restricted eigenvalue conditions on subgaussian random matrices.arXiv: Statistics Theory, 2009.

Debiasing the Lasso under Weaker Tail Assumptions Restricted eigenvalue conditions on subgaussian random matrices.arXiv: Statistics Theory, 2009

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:36.834150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 628f40cb-8864-4ad9-b98e-0db0e75c4937 · outbound

This paper cites Sample average approximation with heavier tails II: localization in stochasticconvexoptimizationandpersistenceresultsforthelasso.Math.Program.,199(1-2):49–86,May2023.

Debiasing the Lasso under Weaker Tail Assumptions Sample average approximation with heavier tails II: localization in stochasticconvexoptimizationandpersistenceresultsforthelasso.Math.Program.,199(1-2):49–86,May2023

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:36.704658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.