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Paper Citation Record · LEDGER

Modelling birdsong transmission with methods from molecular sequence analysis

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2508.20833.

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

pith.paper-citation-record.v1
2508.20833 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:52:35.415802Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

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

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 4cdb3a59-fb1c-46e7-885a-79f21c8070b2 · outbound

This paper cites Deniz Akyildiz et al.

Modelling birdsong transmission with methods from molecular sequence analysis Deniz Akyildiz et al

Reference 1

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Observation 22ecee3b-e9e3-472e-9ad6-2d791e964f2f · outbound

This paper cites Cruising the simplex: Hamiltonian Monte Carlo and the Dirichlet distribution.

Modelling birdsong transmission with methods from molecular sequence analysis Cruising the simplex: Hamiltonian Monte Carlo and the Dirichlet distribution

Reference 2

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Observation c59d886a-2940-4c48-9a20-fca43d8b65f4 · outbound

This paper cites Stan: A Probabilistic Programming Language.

Modelling birdsong transmission with methods from molecular sequence analysis Stan: A Probabilistic Programming Language

Reference 3

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Observation ea009622-9ed1-451c-a09b-bc615f09699a · outbound

This paper cites Automated annotation of birdsong with a neural network that segments spectrograms.

Modelling birdsong transmission with methods from molecular sequence analysis Automated annotation of birdsong with a neural network that segments spectrograms

Reference 4

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Observation 3d3896d0-b9bf-47f2-964c-9f27311a463b · outbound

This paper cites Cambridge, UK: Cambridge University Press, 1998.

Modelling birdsong transmission with methods from molecular sequence analysis Cambridge, UK: Cambridge University Press, 1998

Reference 5

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Observation 8c388790-4e5b-4259-b076-b548c1d0de62 · outbound

This paper cites Rcpp: Seamless R and C++ Integration.

Modelling birdsong transmission with methods from molecular sequence analysis Rcpp: Seamless R and C++ Integration

Reference 6

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Observation f5dbb4c9-3138-418a-8155-7d320848f69d · outbound

This paper cites Rcpp: Seamless R and C++ Integration.

Modelling birdsong transmission with methods from molecular sequence analysis Rcpp: Seamless R and C++ Integration

Reference 7

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Observation 2549fe54-0542-45c4-9ce6-4fcbaf805ea2 · outbound

This paper cites Koe: Web-based software to classify acoustic units and analyse sequence structure in animal vocalizations.

Modelling birdsong transmission with methods from molecular sequence analysis Koe: Web-based software to classify acoustic units and analyse sequence structure in animal vocalizations

Reference 8

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Observation 5231f4e3-a366-4e3a-b20c-56291db0bd64 · outbound

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Modelling birdsong transmission with methods from molecular sequence analysis Unresolved cited work

Reference 9

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Observation 2d6bbf9a-71e8-48d6-a537-3b3346b74bf9 · outbound

This paper cites A tutorial on bridge sampling.

Modelling birdsong transmission with methods from molecular sequence analysis A tutorial on bridge sampling

Reference 10

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Observation b1f6874e-87d7-4db6-bb38-cc123aa9ac1a · outbound

This paper cites Simulating normalizing constants: from importance sampling to bridge sampling to path sampling.

Modelling birdsong transmission with methods from molecular sequence analysis Simulating normalizing constants: from importance sampling to bridge sampling to path sampling

Reference 11

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Observation 6d675e87-34c1-4f29-b47a-f353df615e19 · outbound

This paper cites The Dip Test of Unimodality.

Modelling birdsong transmission with methods from molecular sequence analysis The Dip Test of Unimodality

Reference 12

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Observation 7c355308-3377-4f0d-bc53-ae969e8dcc09 · outbound

This paper cites bridgesampling: An R Package for Estimating Normalizing Constants.

Modelling birdsong transmission with methods from molecular sequence analysis bridgesampling: An R Package for Estimating Normalizing Constants

Reference 13

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Observation 13e3adc0-a280-4d3d-9c04-b27bcf37bde9 · outbound

This paper cites Particle algorithms for maximum likelihood training of latent variable models.

Modelling birdsong transmission with methods from molecular sequence analysis Particle algorithms for maximum likelihood training of latent variable models

Reference 14

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Observation 6e0ab77b-6c63-45f0-a9d9-fe13d124ad13 · outbound

This paper cites Song performance and elaboration as potential indicators of male quality in Java sparrows.

Modelling birdsong transmission with methods from molecular sequence analysis Song performance and elaboration as potential indicators of male quality in Java sparrows

Reference 15

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Observation 9a3f6021-92d8-42fd-a46d-f7314024baa3 · outbound

This paper cites Inheritance of temporal song features in Java sparrows.

Modelling birdsong transmission with methods from molecular sequence analysis Inheritance of temporal song features in Java sparrows

Reference 16

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Observation fa84371e-d9a5-42ac-b395-ab1c73ef770e · outbound

This paper cites Mathematical models for song evolution using Java sparrows.

Modelling birdsong transmission with methods from molecular sequence analysis Mathematical models for song evolution using Java sparrows

Reference 17

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This paper cites A View of the EM Algorithm that Justifies Incremental, Sparse, and other Variants.

Modelling birdsong transmission with methods from molecular sequence analysis A View of the EM Algorithm that Justifies Incremental, Sparse, and other Variants

Reference 18

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Observation fae52182-b60e-4959-b436-13af89f90d8e · outbound

This paper cites Like Father Like Son: Cultural and Genetic Contributions to Song Inheritance in an Estrildid Finch.

Modelling birdsong transmission with methods from molecular sequence analysis Like Father Like Son: Cultural and Genetic Contributions to Song Inheritance in an Estrildid Finch

Reference 19

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Observation e0b367e8-e81f-463f-a03e-a2e3cf4a9ff2 · outbound

This paper cites R Foundation for Statistical Computing.

Modelling birdsong transmission with methods from molecular sequence analysis R Foundation for Statistical Computing

Reference 20

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Observation 99dc7b21-dc22-42ed-ab24-995b33b7dbea · outbound

This paper cites Springer Optimization and Its Applications.

Modelling birdsong transmission with methods from molecular sequence analysis Springer Optimization and Its Applications

Reference 21

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Modelling birdsong transmission with methods from molecular sequence analysis Computational methods for Bayesian model choice

Reference 22

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Modelling birdsong transmission with methods from molecular sequence analysis The mutation rate in human evolution and demographic inference

Reference 23

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Observation 5bb5e910-3df6-4c57-b3a5-3a6d92cf4e44 · outbound

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Modelling birdsong transmission with methods from molecular sequence analysis Use of profile hidden Markov models in viral discovery: current insights

Reference 24

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Observation 83e50bc7-2f1c-4c52-abd7-403c4bbe5c30 · outbound

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Modelling birdsong transmission with methods from molecular sequence analysis Profile hidden Markov models for the detection of viruses within metagenomic sequence data

Reference 25

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Observation 5d2df898-2044-4111-887e-ded5db4d1375 · outbound

This paper cites Social factors in song learning: a review of Estrildid finch research.

Modelling birdsong transmission with methods from molecular sequence analysis Social factors in song learning: a review of Estrildid finch research

Reference 26

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Modelling birdsong transmission with methods from molecular sequence analysis A Short Guide to the Human Genome

Reference 27

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Modelling birdsong transmission with methods from molecular sequence analysis On the Fenchel Duality between Strong Convexity and Lipschitz Continuous Gradient

Reference 28

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This paper cites Nonasymptotic Estimates for Stochastic Gradient Langevin Dynamics Under Local Conditions in Nonconvex Optimization.

Modelling birdsong transmission with methods from molecular sequence analysis Nonasymptotic Estimates for Stochastic Gradient Langevin Dynamics Under Local Conditions in Nonconvex Optimization

Reference 30

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This paper cites DOI: 10.1007/978-3-319-91578-4.

Modelling birdsong transmission with methods from molecular sequence analysis DOI: 10.1007/978-3-319-91578-4

Reference 2018

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This paper cites Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation.

Modelling birdsong transmission with methods from molecular sequence analysis Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation

Reference 2025

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Pith citing papers

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