Paper Citation Record · LEDGER

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics

As of 2 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.18559.

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

pith.paper-citation-record.v1
2607.18559 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:19:36.619068Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 0f0b525c-1b13-4404-bde8-671a0a451f59 · outbound

This paper cites Abbasi-Yadkori, D.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Abbasi-Yadkori, D

Reference 1

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This paper cites an unresolved cited work.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

Reference 2

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

Reference 3

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Observation 00603eb3-2861-4f85-bd81-e218b8561821 · outbound

This paper cites Lavenant, andG.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Lavenant, andG

Reference 4

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Observation 46d3c5a0-f866-4afb-971e-f53ef9a019bc · outbound

This paper cites Auletta, D.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Auletta, D

Reference 5

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Observation 60488cd1-2cb6-4c06-973e-2c70dbb03daf · outbound

This paper cites Banerjee, L.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Banerjee, L

Reference 6

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Observation 852ff37b-63e9-462f-9b96-72977e7695e9 · outbound

This paper cites Berenbrink, M.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Berenbrink, M

Reference 7

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Observation aeae7da8-da3b-40e9-9305-7b9a7293684d · outbound

This paper cites Boucheron, G.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Boucheron, G

Reference 8

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

Reference 9

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Observation 4e6f691a-3ba7-4192-b9f3-a161f33b84c0 · outbound

This paper cites Bresler, D.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Bresler, D

Reference 10

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

Reference 11

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

Reference 12

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

Reference 13

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Observation 54db667d-28c4-405a-ab13-d560fe33585d · outbound

This paper cites Drton and M.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Drton and M

Reference 14

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Observation 7ccc7403-fef4-4bf8-a87a-1206c2a98b5f · outbound

This paper cites Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics

Reference 15

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This paper cites Edwards, G.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Edwards, G

Reference 16

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Observation dd17d8fe-8429-4dac-9b0f-30dfc23599ce · outbound

This paper cites Elboim, Y.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Elboim, Y

Reference 17

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Observation ef943dac-553e-4047-8c76-856a2bfa1eb9 · outbound

This paper cites Thegaussiangraphicalmodelincross-sectional and time-series data, 2016.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Thegaussiangraphicalmodelincross-sectional and time-series data, 2016

Reference 18

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Observation d58ac9f4-7349-4581-8fff-b376cd5cda91 · outbound

This paper cites Friedman, T.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Friedman, T

Reference 19

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This paper cites A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width

Reference 20

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Observation 7bae5cf7-1570-4f26-ac5c-93c69fcd1358 · outbound

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Better Models and Algorithms for Learning Ising Models from Dynamics

Reference 21

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Observation bf0771ca-6ca1-405d-9683-f7ce6e7bc227 · outbound

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Gaitonde, A

Reference 22

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

Reference 25

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Observation b4d211bc-1a51-4a04-96e5-76cc5636be4c · outbound

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Laurent and P

Reference 26

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

Reference 27

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Meinshausen and P

Reference 30

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Misra, M

Reference 32

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Cambridge university press, 2017

Reference 33

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Montanari and A

Reference 34

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Ravikumar, M

Reference 36

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Riabiz, W

Reference 37

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

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Observation fc454184-f8ab-4de1-94b8-a7c238aa626a · outbound

This paper cites Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing

Reference 40

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Simchowitz, H

Reference 41

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Tirukkonda, A

Reference 42

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This paper cites Local and Mixing-Based Algorithms for Gaussian Graphical Model Selection from Glauber Dynamics.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Local and Mixing-Based Algorithms for Gaussian Graphical Model Selection from Glauber Dynamics

Reference 43

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This paper cites Statisticallearningtheoryforcontrol: Afinite-sample perspective.IEEE Control Systems Magazine, 43(6):67–97, 2023.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Statisticallearningtheoryforcontrol: Afinite-sample perspective.IEEE Control Systems Magazine, 43(6):67–97, 2023

Reference 44

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

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This paper cites Vershynin.High-Dimensional Probability: An Introduction with Applications in Data Science.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Vershynin.High-Dimensional Probability: An Introduction with Applications in Data Science

Reference 46

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This paper cites A mixing time bound for Gibbs sampling from log-smooth log-concave distributions.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics A mixing time bound for Gibbs sampling from log-smooth log-concave distributions

Reference 47

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Wang and L

Reference 49

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Unresolved cited work

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Observation 60609d12-8641-433b-b815-c574464f11dd · outbound

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics Yuan and Y

Reference 51

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Observation 8a2538e9-c042-4323-ae6d-1fd40ab29364 · outbound

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Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics enough randomness

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Observation ba87ecba-7405-494e-a1e3-f8ab1f006177 · outbound

This paper cites In particular, |λ∗|= S2 2σ2 iV ≤ R 2σ2 i √ V .(103) Thefixed-λidentitycanonlybeappliedtovalueschosenbeforeobserving ξ,sowereplacetherandomchoice λ∗ by a finite deterministic net.

Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics In particular, |λ∗|= S2 2σ2 iV ≤ R 2σ2 i √ V .(103) Thefixed-λidentitycanonlybeappliedtovalueschosenbeforeobserving ξ,sowereplacetherandomchoice λ∗ by a finite deterministic net

Reference 53

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