Paper Citation Record · LEDGER

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.14801.

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

pith.paper-citation-record.v1
2506.14801 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:32:58.173254Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

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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

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc554626-6872-4e14-86df-88d38b9b2265 · outbound

This paper cites A framework for robust high-dimensional correlation estimation in genomics,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails A framework for robust high-dimensional correlation estimation in genomics,

Reference 1

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Observation a74a026c-a795-42c0-ae98-02032d540513 · outbound

This paper cites Covariance regularization by thresholding,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Covariance regularization by thresholding,

Reference 2

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Observation a0f1e4a9-3314-4c6a-bc4e-17e1955331fe · outbound

This paper cites Network modelling methods for FMRI,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Network modelling methods for FMRI,

Reference 3

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Observation 24c5489f-edb5-4311-9fa4-0f8166b0e7d2 · outbound

This paper cites An overview of the estimation of large covariance and precision matrices,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails An overview of the estimation of large covariance and precision matrices,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:02.064393Z

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Observation 6cbfee66-d8c5-4530-985c-c7959c4ff961 · outbound

This paper cites Robust mean and eigenvalue regularized covariance matrix estimation,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Robust mean and eigenvalue regularized covariance matrix estimation,

Reference 5

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Observation e1cc82cb-bf2e-40ed-a7fa-b94b37e0b099 · outbound

This paper cites Robust estimation of a location parameter,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Robust estimation of a location parameter,

Reference 6

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Observation 85b749c6-72ae-41f0-b85c-6382d726a26f · outbound

This paper cites Robust covariance estimation for approximate factor models,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Robust covariance estimation for approximate factor models,

Reference 7

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Observation a3e0c671-da99-4e08-9b72-844065374b1c · outbound

This paper cites The fitting of power series, meaning polynomi- als, illustrated on band-spectroscopic data,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails The fitting of power series, meaning polynomi- als, illustrated on band-spectroscopic data,

Reference 8

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Observation 0017127c-248a-4cf1-b16a-436b0ed4b6dc · outbound

This paper cites A robust measure of correlation between two genes on a microarray,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails A robust measure of correlation between two genes on a microarray,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:01.114353Z

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Observation 76c93d89-1478-4943-934d-c6e8eb0b9712 · outbound

This paper cites Absil, R.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Absil, R

Reference 10

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Observation 0994385c-ef9a-4fc3-993a-e3fbb92a3780 · outbound

This paper cites Boumal, An Introduction to Optimization on Smooth Manifolds.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Boumal, An Introduction to Optimization on Smooth Manifolds

Reference 11

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Source-reported events for the cited work

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Observation 2e4a2171-0338-42d3-aa80-188e6155f913 · outbound

This paper cites Optimization by adaptive stochastic descent,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Optimization by adaptive stochastic descent,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:33:00.506637Z

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Observation 9124fe36-28e9-4c04-a5c7-dfa95d8d5b49 · outbound

This paper cites Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,

Reference 13

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Observation 0a6c4b76-5796-4a6f-8a16-255f893210ba · outbound

This paper cites Cooling schedules for optimal annealing,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Cooling schedules for optimal annealing,

Reference 14

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Observation b152f047-865e-4b18-a305-7b090def9ad6 · outbound

This paper cites TCPA: a resource for cancer functional proteomics data,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails TCPA: a resource for cancer functional proteomics data,

Reference 15

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Observation 01184921-dd15-457d-b122-e9aa28b8158b · outbound

This paper cites Virtual Library of Simulation Ex- periments: Test Functions and Datasets,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Virtual Library of Simulation Ex- periments: Test Functions and Datasets,

Reference 16

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Observation 7a20011e-05e5-4787-9204-4c94e992d7e0 · outbound

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GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Test functions for optimization needs,

Reference 17

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Observation 3dd3c7be-1a75-4ae5-9e47-520a9b7b27fc · outbound

This paper cites Optimization by simulated annealing,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Optimization by simulated annealing,

Reference 18

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GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Unresolved cited work

Reference 19

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Observation 192c3b67-9482-4eed-ba19-d3181997cf0c · outbound

This paper cites Particle swarm optimization,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Particle swarm optimization,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:59.362995Z

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Observation 01673167-28cd-4f0f-ad90-4d1bfa8e15df · outbound

This paper cites A trust region method based on interior point techniques for nonlinear programming,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails A trust region method based on interior point techniques for nonlinear programming,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:59.191524Z

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Observation 021442f9-2220-4895-89bd-975f7c1d1301 · outbound

This paper cites Nocedal and S.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Nocedal and S

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:59.022763Z

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Observation f754e411-4ee5-4454-abae-b1708900c04a · outbound

This paper cites On the convergence of pattern search algorithms,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails On the convergence of pattern search algorithms,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:58.843168Z

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Observation 7b8f3cf8-c7dd-4323-8ea4-999f25f6e1a8 · outbound

This paper cites A derivation of n-dimensional spherical coordinates,.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails A derivation of n-dimensional spherical coordinates,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:58.677863Z

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This paper cites Manopt, a Matlab Toolbox for Optimization on Manifolds.

GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails Manopt, a Matlab Toolbox for Optimization on Manifolds

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:58.509061Z

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Observation de1e6c6b-cbd2-42c3-abdc-9e38f271f109 · outbound

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GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails NExUS: Bayesian simultaneous network estimation across unequal sample sizes,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:58.378577Z

Source-reported events for the cited work

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Pith citing papers

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