Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:56.198062Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 1 inbound Pith citation observation for arXiv:2505.23753.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:56.198062Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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84 of 84 outbound references displayed
External citation measurements
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Observation 57bccfe8-272b-491f-9edb-8ac48ae4d4bd · outbound
Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Agapiou, J
Reference 1
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Ambrosio and N
Reference 2
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Andrieu and J
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Ascolani, G
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Atchad´e and G
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Baptista, Y
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Beskos, M
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Beskos, N
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Bezanson, A
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Brooks, A
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Cabezas and C
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Calvetti, M
Reference 19
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Calvetti, M
Reference 20
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Calvetti and E
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Calvetti and E
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Calvetti and E
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Calvetti, E
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Dimension-Robust MCMC in Bayesian Inverse Problems
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Churchill and A
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Cotter, G
Reference 29
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Dong and M
Reference 32
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Fleischer , Transformations for accelerating MCMC simulations with broken ergodicity , in 2007 Winter Simulation Conference, IEEE, 2007, pp
Reference 35
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Flock, Y
Reference 36
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Reference 37
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Gelman and D
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Rosenblatt, Remarks on a multivariate transformation , The Annals of Mathematical Statistics, 23 (1952), pp
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Santambrogio, Optimal Transport for Applied Mathematicians , Springer, 2015
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Reference 71
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Uribe, J
Reference 74
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Reference 75
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Reference 76
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Reference 77
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Reference 78
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Efficient sampling for sparse Bayesian learning using hierarchical prior normalization West, On scale mixtures of normal distributions , Biometrika, 74 (1987), pp
Reference 79
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Reference 80
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Reference 81
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Reference 82
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Observation 75e72d49-d70a-4c1d-89c2-2c5b4f0faf46 · outbound
Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Unresolved cited work
Reference 83
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Observation 55fa7d77-b65d-4029-987e-e421a5c6da4b · outbound
Efficient sampling for sparse Bayesian learning using hierarchical prior normalization Unresolved cited work
Reference 84
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Observation 93aa7c45-9262-4efc-bea7-fa27678ec7ac · inbound
Do Generalized-Gamma Scale Mixtures of Normals Fit Large Image Datasets? Efficient sampling for sparse Bayesian learning using hierarchical prior normalization
Reference 6
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