Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T18:07:38.708080Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 100 of 127 outbound references and 0 inbound Pith citation observations for arXiv:2607.07188.
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 2026-07-09T18:07:38.708080Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 127 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics The Annals of Mathematical Statistics , author =
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Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics Unresolved cited work
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Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics Unresolved cited work
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Reference 64
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Reference 70
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Reference 78
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Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics Unresolved cited work
Reference 80
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Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics Unresolved cited work
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Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics Unresolved cited work
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Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics Unresolved cited work
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Mixing efficiency of trans-model Markov chain Monte Carlo algorithms with applications in Bayesian phylogenetics Unresolved cited work
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