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Paper Citation Record · LEDGER

Private Adaptive Covariance Estimation via Gaussian Graphical Models

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2605.24295.

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

pith.paper-citation-record.v1
2605.24295 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T15:21:15.470733Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

34 of 34 outbound references displayed

  • verified exact8
  • verified fuzzy22
  • unresolved1
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  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03106532-2283-4f2f-ba19-3648bb27dadb · outbound

This paper cites Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, and Dmitry Vetrov.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, and Dmitry Vetrov

Reference 1

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metadata mismatch
doi, observed 2026-06-30T15:24:49.192017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1ed23fb5-fe42-4203-80a2-c5b6436c4e23 · outbound

This paper cites Alabi, A.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Alabi, A

Reference 2

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raw_fallback, observed 2026-07-08T17:45:13.095064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:026a8d8f4de25dd920c54a0c65704e1d422ca1e6b53ffc0d5cc4191bd3412bcf

Observation 456e9e63-2198-4730-b48b-36e21be4d8cb · outbound

This paper cites Differentially private query release through adaptive projection.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Differentially private query release through adaptive projection

Reference 3

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raw_fallback, observed 2026-07-08T17:45:13.089687Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:8cae40adb4af0f0dfb03495a368e7873b6ca31a3457ba4975deb97ff5afdd773

Observation 9d0e9ca6-2aab-4241-aacf-9df854d622cc · outbound

This paper cites Becker, R.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Becker, R

Reference 4

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verified exact
doi, observed 2026-06-30T15:24:49.193757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:98a0bda4cffb4339fe44f287b32428d62e792716451817835f10d8e0e31347f6

Observation 6d87d254-1a43-401a-a759-5717de985154 · outbound

This paper cites Coinpress: Practical private mean and covariance estimation.Advances in Neural Information Processing Systems, 33: 14475–14485, 2020.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Coinpress: Practical private mean and covariance estimation.Advances in Neural Information Processing Systems, 33: 14475–14485, 2020

Reference 5

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raw_fallback, observed 2026-07-08T17:45:13.091550Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:01badb98f333701e5b5cac88b16734446cd5e15a1aa4385b61be32707c21fbcf

Observation 57530335-df7a-407e-bd78-164c5def42d8 · outbound

This paper cites Cambridge university press.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Cambridge university press

Reference 6

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raw_fallback, observed 2026-07-08T17:45:13.096669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:c11a923766732cd58c622432dac914d84ed682f19c24d653404ecf3fae013aa5

Observation 293d8a97-c555-4ec9-811b-4aaf6376ad7c · outbound

This paper cites Concentrated differential privacy: Simplifications, extensions, and lower bounds.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Concentrated differential privacy: Simplifications, extensions, and lower bounds

Reference 7

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raw_fallback, observed 2026-07-08T17:45:13.086221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:22ece1299228e9da4a8b4515465e201109c80c240e45ee65e29423a5eebe4b29

Observation a8aa598d-0746-4b93-a55c-a08c1938854f · outbound

This paper cites A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization.Mathematical programming, 95(2):329–357.

Private Adaptive Covariance Estimation via Gaussian Graphical Models A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization.Mathematical programming, 95(2):329–357

Reference 8

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raw_fallback, observed 2026-07-08T17:45:13.084258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:776cd4af20878de58240c91dbb47d1ae598f9182cf83d75bb32d17b35921ac2b

Observation af72f293-4c1f-437d-9823-9af5b6480a1d · outbound

This paper cites Data synthesis via differentially private markov random fields.Proceedings of the VLDB Endowment, 14(11):2190–2202, 2021.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Data synthesis via differentially private markov random fields.Proceedings of the VLDB Endowment, 14(11):2190–2202, 2021

Reference 9

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verified fuzzy
raw_fallback, observed 2026-07-08T17:45:13.080882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:b0a77fb2effaed5cf5a4fbe5558a2b2a7dc9697784f48e28dad735ddd8a1ee95

Observation 58870d38-209d-4c90-80a9-3bc791ba5440 · outbound

This paper cites Wiley-Interscience, New York, 1991.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Wiley-Interscience, New York, 1991

Reference 10

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raw_fallback, observed 2026-07-08T17:45:13.082477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:6cbdab4a1755bacfc0220e6f3014d0605e1c27ce5ead21cf433cc540872b53c8

Observation 1ad5672b-27ab-4e18-8b33-a94ca986d6a1 · outbound

This paper cites Covariance selection for nonchordal graphs via chordal embedding.Optimization Methods and Software, 23(4):501–520, 2008.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Covariance selection for nonchordal graphs via chordal embedding.Optimization Methods and Software, 23(4):501–520, 2008

Reference 11

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raw_fallback, observed 2026-07-08T17:45:13.087998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:a2124661dc50962e104c342eb21ebec781e15f80336081ef1367afb0968dae14

Observation 27548776-5da9-4290-90b4-e05ab2a08abb · outbound

This paper cites Covariance selection.Biometrics, pages 157–175.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Covariance selection.Biometrics, pages 157–175

Reference 12

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raw_fallback, observed 2026-07-08T17:45:13.098275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:29ce67ec6fb1878f6c696620d2ab6a84acde78c29364aae0a309a1d6d29cd534

Observation f256b396-56f7-466f-8a69-33301e4d01e3 · outbound

This paper cites Differentially private covariance revisited.Advances in Neural Information Processing Systems, 35:850–861, 2022.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Differentially private covariance revisited.Advances in Neural Information Processing Systems, 35:850–861, 2022

Reference 13

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raw_fallback, observed 2026-07-08T17:45:13.073717Z

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source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:69da3f5ee75c8a4e0c85907ae94bc85c042afb5fbe793475aa67b000f635f94e

Observation 896cd354-2975-4fec-9582-fd07b02c576c · outbound

This paper cites Analyze gauss: optimal bounds for privacy-preserving principal component analysis.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Analyze gauss: optimal bounds for privacy-preserving principal component analysis

Reference 14

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verified fuzzy
raw_fallback, observed 2026-07-08T17:45:13.075610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:76c9ab11f3a85fce2bab6955c203b19bdf06fe7e2076a24dcc1c27287994c78f

Observation 9e3a5bdc-f4ec-44a9-a331-223d08ccc564 · outbound

This paper cites Fast private adaptive query answering for large data domains.arXiv preprint arXiv:2602.05674, 2026.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Fast private adaptive query answering for large data domains.arXiv preprint arXiv:2602.05674, 2026

Reference 15

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arxiv_id, observed 2026-06-30T15:24:49.942863Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:9d91dd3363bf466a39f96ac4473ba3936837fdbe9d4743fccabb659d66104bcf

Observation 780376c7-6a7c-4f84-bce2-9f5ac201effd · outbound

This paper cites Low-rank optimization on the cone of positive semidefinite matrices.SIAM Journal on Optimization, 20(5):2327–2351, 2010.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Low-rank optimization on the cone of positive semidefinite matrices.SIAM Journal on Optimization, 20(5):2327–2351, 2010

Reference 16

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raw_fallback, observed 2026-07-08T17:45:13.068407Z

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source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:36f3e4e0627546d0490234b9a8c3e76d20c52fe4d8fc9b08d76ad226768df8be

Observation e552fea0-d018-46ae-844d-b36b0dda77e0 · outbound

This paper cites Privately learning high- dimensional distributions.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Privately learning high- dimensional distributions

Reference 17

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raw_fallback, observed 2026-07-08T17:45:13.070100Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:0b9480d7200d8153ebc0a45fec967e4fcb12baf4788377862500117a2b6169a4

Observation 78a42f5f-17a1-4193-a217-72d4f817835c · outbound

This paper cites Clarendon Press.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Clarendon Press

Reference 18

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raw_fallback, observed 2026-07-08T17:45:13.064596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:7394b1ad29747134ce8024ff15ecb027f39f382795ab615afea43dfd5b4c9fde

Observation 68305f82-021a-4ad1-9ead-d68f13c5bad4 · outbound

This paper cites Differentially private linear regression with linked data.Harvard Data Science Review, 6(3), 2024.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Differentially private linear regression with linked data.Harvard Data Science Review, 6(3), 2024

Reference 19

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raw_fallback, observed 2026-07-08T17:45:13.066525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:4298989805e43f0199fb90277c47c942b9d1204c637c7bac41d80fa3f65e9b23

Observation 3997ad2a-be5b-46af-99a0-a354be45cde6 · outbound

This paper cites Iterative methods for private synthetic data: Unifying framework and new methods.Advances in Neural Information Processing Systems, 34:690–702, 2021.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Iterative methods for private synthetic data: Unifying framework and new methods.Advances in Neural Information Processing Systems, 34:690–702, 2021

Reference 20

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raw_fallback, observed 2026-07-08T17:45:13.071888Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:3a2e19c329c804f860b84d51ebfdef3681b26635ea53dd664fc8d7057d4e8077

Observation 866efb89-d411-4508-b9fb-3b453760d1f5 · outbound

This paper cites HDMM: Optimizing error of high-dimensional statistical queries under differential privacy.

Private Adaptive Covariance Estimation via Gaussian Graphical Models HDMM: Optimizing error of high-dimensional statistical queries under differential privacy

Reference 21

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arxiv_id, observed 2026-06-30T15:24:49.945578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:2cbc53e76fc016e725bb05442534e6f21dab84a2862f821014c87651256fed87

Observation 20b1cbe1-a835-419c-97e6-f806cc59102d · outbound

This paper cites AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data.

Private Adaptive Covariance Estimation via Gaussian Graphical Models AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data

Reference 22

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arxiv_id, observed 2026-06-30T15:24:49.948671Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:88b4f2d5fda2ca6d66c8b231769f5ff140f9e784ef2df2050a31cf9921288b50

Observation 026c4d9e-1ee3-4c11-bc74-367b7cc90b4f · outbound

This paper cites Mechanism design via differential privacy.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Mechanism design via differential privacy

Reference 23

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doi, observed 2026-06-30T15:24:49.190227Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:5f248940758aef80fd69073d08e059ff0c2a1555ac6e3d52f30c52a193bbb399

Observation 13a7da16-4df2-4433-9530-f36ea60da0f0 · outbound

This paper cites Life expectancy (who).

Private Adaptive Covariance Estimation via Gaussian Graphical Models Life expectancy (who)

Reference 24

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raw_fallback, observed 2026-07-08T17:45:13.077320Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:6b1e60c9a3f4589a8f956ea738a369280f99ccfddd2678613d4e681cf50f2fcf

Observation 86f50d69-7674-4696-8a22-6c5c28fdec94 · outbound

This paper cites Ingo Steinwart.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Ingo Steinwart

Reference 25

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doi, observed 2026-06-30T15:24:49.188402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:fe0a063daa5af9f179b91375b0f11bbd549ef761973b1276082650af68bbd139

Observation 94cc5794-0e5d-497e-a7e9-027a49f7dcc7 · outbound

This paper cites Differentially private ordinary least squares.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Differentially private ordinary least squares

Reference 26

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verified fuzzy
raw_fallback, observed 2026-07-08T17:45:13.078969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:5d0ab5610b16efa83ec175186caaba3270c336e34eb392ba32e0c68c5394fe81

Observation 36abb99e-b3f2-4586-81d9-9678a64efbe8 · outbound

This paper cites Decomposition methods for sparse matrix nearness problems.SIAM Journal on Matrix Analysis and Applications, 36(4):1691–1717, 2015.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Decomposition methods for sparse matrix nearness problems.SIAM Journal on Matrix Analysis and Applications, 36(4):1691–1717, 2015

Reference 27

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raw_fallback, observed 2026-07-08T17:45:13.093296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:782d2f897d5d3239b9824f958b852463803db03eecd825bae13bcd08c6061fff

Observation e447373e-66a6-43cc-927e-6e4bf0b79109 · outbound

This paper cites Differentially private high dimensional sparse covariance matrix estimation.Theoretical Computer Science, 865:119–130, 2021.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Differentially private high dimensional sparse covariance matrix estimation.Theoretical Computer Science, 865:119–130, 2021

Reference 28

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raw_fallback, observed 2026-07-08T17:45:13.100001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:9caf279b8ce9b9000cf62767a6d7062d3f4d7377d77c1e0fd75b504a9f2aef48

Observation 4b5fc664-c9b5-426f-b3ea-2f5e91556cb4 · outbound

This paper cites Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain

Reference 29

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local_arxiv, observed 2026-06-30T15:24:49.940465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:d35cb91637bdfa7784a50a759f7b23ab12e82ce8a0768cb30d039e7b7e098e2b

Observation 7af52438-2a70-412d-82c4-6a33ba3aca78 · outbound

This paper cites Fully-adaptive composition in differential privacy.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Fully-adaptive composition in differential privacy

Reference 30

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raw_fallback, observed 2026-07-08T17:45:13.101821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:fc120f619533dc02fb98509f61879add9a66987d67e6a27fd27d6a581465a430

Observation 20f08fe4-1e79-49e8-8217-1cce38b054ca · outbound

This paper cites an unresolved cited work.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Unresolved cited work

Reference 31

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raw_fallback, observed 2026-07-08T17:45:13.103741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:71d5b1af0c840c2297851328c17088fa41c7ab8c430b8860809b5d63362c551a

Observation 6ce19f97-42dc-42d5-bce0-d259c2b2b282 · outbound

This paper cites arXiv preprint arXiv:2407.00956 , year=.

Private Adaptive Covariance Estimation via Gaussian Graphical Models arXiv preprint arXiv:2407.00956 , year=

Reference 32

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arxiv_id, observed 2026-06-30T15:24:49.938102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:bff73db0fee11498a0c5cd5f58dd41e7355d000686114e02dc3efe351f5d47c2

Observation cf6a345a-e4aa-49e0-8ba5-b757c2076c60 · outbound

This paper cites Turbulent Magnetic Dynamos with Halo Lags, Winds, and Jets.

Private Adaptive Covariance Estimation via Gaussian Graphical Models Turbulent Magnetic Dynamos with Halo Lags, Winds, and Jets

Reference 33

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verified exact
arxiv_id, observed 2026-06-30T15:24:49.934835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:68319e04def06c51916ef079231acbbce11ededa7212dcc98b250819efc9bab7

Observation 619422c0-0982-44f2-9847-8ec9c1d9f9a2 · outbound

This paper cites PSD-completable.

Private Adaptive Covariance Estimation via Gaussian Graphical Models PSD-completable

Reference 34

Resolution
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raw_fallback, observed 2026-07-08T17:45:13.105529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T15:21:15.470733Z digest=sha256:69d7196ec2e967a6832313c9a6190a3891b02e9aff37d4d792b6344155361104

Pith citing papers

No inbound Pith citation observations are available.