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Paper Citation Record · LEDGER

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2506.13353.

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

pith.paper-citation-record.v1
2506.13353 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:02.830055Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T14:10:34.060578Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:36:02.045422Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact11
  • verified fuzzy8
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3ee13fb-1133-4a23-987c-2a33402802e0 · outbound

This paper cites Litvak, Alain Pajor, and Nicole Tomczak-Jaegermann.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Litvak, Alain Pajor, and Nicole Tomczak-Jaegermann

Reference 1

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5abade44-32f0-42f6-9fd4-a13c2ec70f24 · outbound

This paper cites Model selection through sparse maximum likelihood estimation for multivariate G aussian or binary data.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Model selection through sparse maximum likelihood estimation for multivariate G aussian or binary data

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4bc1f3b6-73a3-48d7-9f1e-0ee03472884a · outbound

This paper cites Cand\`es.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Cand\`es

Reference 3

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no resolver link, observed 2026-08-15T20:18:02.634776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:18:02.634776Z digest=sha256:e01051e2022530bfbbbc7a9c67deb763107c18ceeccd477aad50e96d7cf6d1be

Observation 9cd6fbc0-4a4d-471c-9a00-6d463a723401 · outbound

This paper cites Pattern recovery by SLOPE.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Pattern recovery by SLOPE

Reference 4

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T20:18:02.640103Z digest=sha256:df3d035ce5de0b9166dc3a508dba84c663036d7ff1d087e0fb6b3aa5f12ccd8a

Observation fb3fa51d-a197-4723-9c5b-4ef10ee14734 · outbound

This paper cites Bondell and Brian J.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Bondell and Brian J

Reference 5

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source=arxiv_source observed=2026-08-15T20:18:02.645257Z digest=sha256:9b06df6d6ed63065ceb5227428d67aea7e3d2c816c2fca20e524c54ed081ab8a

Observation f2c58a9a-9971-45df-aed7-98e29a5627f5 · outbound

This paper cites Parrilo, and Alan S.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Parrilo, and Alan S

Reference 6

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no resolver link, observed 2026-08-15T20:18:02.650039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:18:02.650039Z digest=sha256:c2873d5f63957966a7b6484f249ab893578e974f2d063996de48917ffd89c335

Observation 24f5b04c-9681-4584-b3fc-2ade40bb7223 · outbound

This paper cites an unresolved cited work.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Unresolved cited work

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:18:02.655326Z digest=sha256:846ffa331bd01c298ddb99a8568d625e5e928efae6afcafe572b365c90c95e7a

Observation de7fa899-87ce-4267-bcfa-246e649450e4 · outbound

This paper cites Figueiredo and R.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Figueiredo and R

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:18:02.661119Z digest=sha256:d17bb7911612913a3fd93188fb8189954a33af9a8d09c9254b4fe789464d1f7f

Observation 9564eda9-181b-4442-9e47-9b020141cad1 · outbound

This paper cites Sparse inverse covariance estimation with the graphical lasso.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Sparse inverse covariance estimation with the graphical lasso

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:18:02.665961Z digest=sha256:057b2639d74c31782a58d0d90b86e93febfff6418784ab9f8fa946f54aa7ac3e

Observation 5012dad3-a58e-41e2-86f8-7cb3d1906d22 · outbound

This paper cites Estimation of symmetry-constrained G aussian graphical models: application to clustered dense networks.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Estimation of symmetry-constrained G aussian graphical models: application to clustered dense networks

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:18:02.671553Z digest=sha256:47565c3074ca731f8687f728a453cb9e3ed956a54cc98606c7a6e949c6736e5a

Observation e77983df-dd81-4a0b-94d1-ed4521cf1e4b · outbound

This paper cites Schneider, T.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Schneider, T

Reference 11

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Source-reported events for the cited work

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Observation 0a58c270-dd57-44ef-9a94-fc84a0ca8de7 · outbound

This paper cites Lauritzen.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Lauritzen

Reference 12

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Observation 215bbf68-0511-4ec3-9e11-53b38e491fc4 · outbound

This paper cites Anti-sparse coding for approximate nearest neighbor search.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Anti-sparse coding for approximate nearest neighbor search

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5a69c535-7a4c-4792-bf97-6d28de3e93aa · outbound

This paper cites an unresolved cited work.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Unresolved cited work

Reference 14

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 70584d87-8204-4e09-81db-23c1e7ac1d56 · outbound

This paper cites Sparsistency and rates of convergence in large covariance matrix estimation.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Sparsistency and rates of convergence in large covariance matrix estimation

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:18:02.696030Z digest=sha256:5dba05d12290e12bb414d194e257dc7ef2d30705ba3b649749506c93adf85040

Observation 8d67c231-c0df-40a8-a4fa-11184668951f · outbound

This paper cites Locally associated graphical models and mixed convex exponential families.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Locally associated graphical models and mixed convex exponential families

Reference 16

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 38bfd998-8872-4880-9f7e-fafde8369b0d · outbound

This paper cites Penalized composite likelihood for colored graphical G aussian models.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Penalized composite likelihood for colored graphical G aussian models

Reference 17

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8257de68-2e8b-4b03-9e74-037d2078cf3f · outbound

This paper cites Learning G aussian graphical models with ordered weighted _1 regularization.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Learning G aussian graphical models with ordered weighted _1 regularization

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2a2b1a68-1190-43ce-a6c7-7ce6f7e83cc0 · outbound

This paper cites High-dimensional graphs and variable selection with the lasso.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery High-dimensional graphs and variable selection with the lasso

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9517a63c-26dd-47c7-a52f-774142b71f6d · outbound

This paper cites an unresolved cited work.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 87084f86-5e97-47a5-bbf3-0bc11859bd58 · outbound

This paper cites Model selection in gaussian graphical models: High-dimensional consistency of boldmath ell\_1-regularized mle.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Model selection in gaussian graphical models: High-dimensional consistency of boldmath ell\_1-regularized mle

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 95c4c57a-c6dd-4e83-a404-f96f65d1b080 · outbound

This paper cites Wainwright, Garvesh Raskutti, and Bin Yu.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Wainwright, Garvesh Raskutti, and Bin Yu

Reference 22

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no resolver link, observed 2026-08-15T20:18:02.728810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:18:02.728810Z digest=sha256:f657cc43546e59d9d48569b20d69b7fd7bd14b9fef8b53706954cc73151adb7f

Observation d3d59a6c-d253-49db-95bc-5424941c4bff · outbound

This paper cites Sparse Graphical Modelling via the Sorted L$_1$-Norm.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Sparse Graphical Modelling via the Sorted L$_1$-Norm

Reference 23

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source=arxiv_source observed=2026-08-15T20:18:02.733467Z digest=sha256:80fe2f1841b4de05d06609ac191b92853669ac331da983ca2f3d528be872d366

Observation b9496e7f-c8d6-4bb6-9eda-42fc4112a7ac · outbound

This paper cites Tyrrell Rockafellar.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Tyrrell Rockafellar

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fd9e3f09-5c83-4e45-b714-be6d0bd8d3b3 · outbound

This paper cites Tyrrell Rockafellar and Roger J.-B.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Tyrrell Rockafellar and Roger J.-B

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2fe985be-e691-4944-b2b1-3063414dae91 · outbound

This paper cites Dependence in elliptical partial correlation graphs.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Dependence in elliptical partial correlation graphs

Reference 26

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4a894a10-26d7-4a6b-b2c1-861fe8357737 · outbound

This paper cites Rothman, Peter J.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Rothman, Peter J

Reference 27

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b77e7172-7c8f-4289-8cfa-bf697b88a3d7 · outbound

This paper cites The geometry of uniqueness, sparsity and clustering in penalized estimation.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery The geometry of uniqueness, sparsity and clustering in penalized estimation

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:18:02.757648Z digest=sha256:f00a425b57e50ed616ea7cf74cb2cf4527f0c4f8f6025e73e0f0c8f1d6b40f4e

Observation ca13e176-09f6-4075-9778-2a0dacefa6ec · outbound

This paper cites Covariance estimation for distributions with 2+ moments.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Covariance estimation for distributions with 2+ moments

Reference 29

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:18:02.762033Z digest=sha256:e6e463778cb381f7b23a06f70c398ff2c99c9fc78b9c065d45cf65f484731efc

Observation 617b1ceb-fc46-4ced-b875-c681388c7e69 · outbound

This paper cites Sparsity and smoothness via the fused lasso.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Sparsity and smoothness via the fused lasso

Reference 30

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no resolver link, observed 2026-08-15T20:18:02.766461Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:18:02.766461Z digest=sha256:fc748c2e44981b1d66338744791cf92ac34dd68528e97e0be589212db69e0979

Observation 03c67967-23d7-4ec6-bfeb-68db92b50c65 · outbound

This paper cites Tibshirani and Jonathan Taylor.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Tibshirani and Jonathan Taylor

Reference 31

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source=arxiv_source observed=2026-08-15T20:18:02.771050Z digest=sha256:42c9c47c7b00ccab6e90e0ac4241e985cc1118ac683f790080aa46b0c794d3a7

Observation 91c06d86-b8c0-4a12-8c67-650800ca8e8e · outbound

This paper cites Turlach, William N.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Turlach, William N

Reference 32

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:18:02.775692Z digest=sha256:1d3a60b71581fca2b7569f2240291c359ec9ed965ba543d204c15a586057fa52

Observation 405df6c0-a01d-4686-9635-94350b361271 · outbound

This paper cites Model selection with low complexity priors.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Model selection with low complexity priors

Reference 33

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verified exact
doi, observed 2026-08-15T20:18:02.923555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:18:02.780569Z digest=sha256:23dcf3d4ada533fbd9fb6a8ca337d401a969f26fa3aff79a2c1981aa7de03bc0

Observation 735179f7-c149-48d2-accb-f8dc45a1f168 · outbound

This paper cites Model consistency of partly smooth regularizers.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Model consistency of partly smooth regularizers

Reference 34

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metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 99bc329f-af5b-4d89-b44e-888aed731908 · outbound

This paper cites How close is the sample covariance matrix to the actual covariance matrix? J.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery How close is the sample covariance matrix to the actual covariance matrix? J

Reference 35

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verified exact
doi, observed 2026-08-15T20:18:02.907218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:18:02.789998Z digest=sha256:d5c18b2a564382d77a94699401b948d4bd50c1574b4a16f0607cd78d37f1568f

Observation 57e9c47c-2aa7-41c3-b1de-198ac5de49dc · outbound

This paper cites Introduction to the non-asymptotic analysis of random matrices.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Introduction to the non-asymptotic analysis of random matrices

Reference 36

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raw_fallback, observed 2026-08-15T20:18:04.015781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T20:18:02.795045Z digest=sha256:0f76d6fbe842fe225d824a010677a4b27da7a385dde0062a99ba90d536b4feee

Observation 54a7ceb3-69a1-4921-bbff-a3ab2acfef4f · outbound

This paper cites The Functional Graphical Lasso.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery The Functional Graphical Lasso

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Wainwright.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Wainwright

Reference 38

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This paper cites Wainwright.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Wainwright

Reference 39

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Observation 89bc416c-2594-4065-9510-394b64f17a7a · outbound

This paper cites Fused multiple graphical lasso.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Fused multiple graphical lasso

Reference 40

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This paper cites Model selection and estimation in the G aussian graphical model.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Model selection and estimation in the G aussian graphical model

Reference 41

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This paper cites The composite absolute penalties family for grouped and hierarchical variable selection.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery The composite absolute penalties family for grouped and hierarchical variable selection

Reference 42

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Observation d7ec2433-f0ed-4310-9071-02eea8d47472 · outbound

This paper cites Entropic covariance models.

From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery Entropic covariance models

Reference 43

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Pith citing papers

Observation 1233d655-5c19-4e3f-adfb-7a28bb3210dc · inbound

Asymptotic Theory for Graphical SLOPE: Precision Estimation and Pattern Convergence cites this paper.

Asymptotic Theory for Graphical SLOPE: Precision Estimation and Pattern Convergence From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery

Reference 13

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