Paper Citation Record · LEDGER

Empirical Bayes for correlated Gaussian sequence model

As of 9 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.03596.

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

pith.paper-citation-record.v1
2607.03596 v1

Coverage vector

measured 20 of 20 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-12T01:18:19.788870Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

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Source: cited_works

Reference resolution

20 of 20 outbound references displayed

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External citation measurements

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Outbound references

Observation 9114da62-a94f-474b-b5a6-f91e20a57fad · outbound

This paper cites The high-dimensional asymptotics of first order methods with random data.

Empirical Bayes for correlated Gaussian sequence model The high-dimensional asymptotics of first order methods with random data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8941952d-0ae9-4189-9154-16dd02a7fe93 · outbound

This paper cites Normal approximations in nonparametric empirical Bayes.

Empirical Bayes for correlated Gaussian sequence model Normal approximations in nonparametric empirical Bayes

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 354738c0-e30c-4c87-84fc-23080445a184 · outbound

This paper cites Sharp regret-Hellinger bounds for Gaussian empirical Bayes via polynomial approximation.

Empirical Bayes for correlated Gaussian sequence model Sharp regret-Hellinger bounds for Gaussian empirical Bayes via polynomial approximation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 7b50fb79-a152-4880-8a2f-be0476526da8 · outbound

This paper cites Gradient flows for empirical Bayes in high-dimensional linear models.

Empirical Bayes for correlated Gaussian sequence model Gradient flows for empirical Bayes in high-dimensional linear models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation b4cf1572-618a-4d0e-84be-12310a05b912 · outbound

This paper cites Dynamical mean-field analysis of adaptive Langevin diffusions: Replica-symmetric fixed point and empirical Bayes.arXiv preprint arXiv:2504.15558,.

Empirical Bayes for correlated Gaussian sequence model Dynamical mean-field analysis of adaptive Langevin diffusions: Replica-symmetric fixed point and empirical Bayes.arXiv preprint arXiv:2504.15558,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 62444436-e3f4-4f24-8ce5-68dad5efe05f · outbound

This paper cites Stein’s unbiased risk estimate and hyv\” arinen’s score matching.arXiv preprint arXiv:2502.20123,.

Empirical Bayes for correlated Gaussian sequence model Stein’s unbiased risk estimate and hyv\” arinen’s score matching.arXiv preprint arXiv:2502.20123,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 0471550d-e0c6-4fb1-9c42-3e7f04c67b1e · outbound

This paper cites Ranking and selection from pairwise comparisons: em- pirical bayes methods for citation analysis.

Empirical Bayes for correlated Gaussian sequence model Ranking and selection from pairwise comparisons: em- pirical bayes methods for citation analysis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 87c2453a-ffaf-44d1-b383-fa5138123199 · outbound

This paper cites Long-time dynamics and universality of nonconvex gradient descent.arXiv preprint arXiv:2509.11426,.

Empirical Bayes for correlated Gaussian sequence model Long-time dynamics and universality of nonconvex gradient descent.arXiv preprint arXiv:2509.11426,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 27c799a0-6275-4383-99d5-38e558309a55 · outbound

This paper cites Gradient descent inference in empirical risk minimiza- tion.Ann.

Empirical Bayes for correlated Gaussian sequence model Gradient descent inference in empirical risk minimiza- tion.Ann

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 9f170d89-9343-4ba9-a152-10e8ebba6ec3 · outbound

This paper cites Compound decisions and empirical bayes via bayesian nonparametrics.arXiv preprint arXiv:2602.20115,.

Empirical Bayes for correlated Gaussian sequence model Compound decisions and empirical bayes via bayesian nonparametrics.arXiv preprint arXiv:2602.20115,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 167ab8d9-97e1-47fe-b80c-39513cb003b8 · outbound

This paper cites Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood.

Empirical Bayes for correlated Gaussian sequence model Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 2fa63dfa-d278-4345-8444-c48733513363 · outbound

This paper cites Parametric mean-field empirical Bayes in high- dimensional linear regression.arXiv preprint arXiv:2601.16842,.

Empirical Bayes for correlated Gaussian sequence model Parametric mean-field empirical Bayes in high- dimensional linear regression.arXiv preprint arXiv:2601.16842,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 6c7098c6-4546-49a9-811a-f0e556bd8fab · outbound

This paper cites A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression.

Empirical Bayes for correlated Gaussian sequence model A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation fd138e03-e853-4ad8-a26a-d113aa910120 · outbound

This paper cites Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models.

Empirical Bayes for correlated Gaussian sequence model Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation c47e2c3e-a9d5-4a17-aa58-29f103f91ee5 · outbound

This paper cites Asymptotically subminimax solutions of compound statistical decision problems.

Empirical Bayes for correlated Gaussian sequence model Asymptotically subminimax solutions of compound statistical decision problems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 0380f3a2-b29f-4cbc-8cca-4cdd382e827f · outbound

This paper cites An empirical Bayes approach to statistics.

Empirical Bayes for correlated Gaussian sequence model An empirical Bayes approach to statistics

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 2a85be82-d0ef-42ce-9955-3d73eaad0193 · outbound

This paper cites Inadmissibility of the usual estimator for the mean of a multivariate nor- mal distribution.

Empirical Bayes for correlated Gaussian sequence model Inadmissibility of the usual estimator for the mean of a multivariate nor- mal distribution

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 7e3fee95-63aa-4606-b4d1-41de23c4bf10 · outbound

This paper cites an unresolved cited work.

Empirical Bayes for correlated Gaussian sequence model Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 0fc9cd95-a2a9-476d-8b78-221dfe9a6f6e · outbound

This paper cites ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families.

Empirical Bayes for correlated Gaussian sequence model ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Observation 020dea98-fc55-4116-8a99-b76687100091 · outbound

This paper cites Optimal estimation of Gaussian mixtures via denoised method of moments.Ann.

Empirical Bayes for correlated Gaussian sequence model Optimal estimation of Gaussian mixtures via denoised method of moments.Ann

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T01:18:19.788870Z

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Pith citing papers

No inbound Pith citation observations are available.