Paper Citation Record · LEDGER

Likelihood-free inference of phylogenetic tree posterior distributions

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2510.12976.

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

pith.paper-citation-record.v1
2510.12976 v4

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:57:00.115120Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T01:50:58.030760Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-06-30T03:04:14.432826Z

Reference resolution

44 of 44 outbound references displayed

verified exact10
verified fuzzy0
unresolved34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3835f0cf-f9d6-4bfd-be22-89a66b54b391 · outbound

This paper cites Aminov and Roderick I.

Likelihood-free inference of phylogenetic tree posterior distributions Aminov and Roderick I

Reference 1

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Observation 3995b5e0-dcb2-442f-a9a3-fb269cb1609a · outbound

This paper cites an unresolved cited work.

Likelihood-free inference of phylogenetic tree posterior distributions Unresolved cited work

Reference 2

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Observation f45e4487-c852-479b-9757-2543e521573c · outbound

This paper cites The frontier of simulation-based inference.

Likelihood-free inference of phylogenetic tree posterior distributions The frontier of simulation-based inference

Reference 3

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Likelihood-free inference of phylogenetic tree posterior distributions Unresolved cited work

Reference 4

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Observation bd4b68e3-87c4-46ae-939f-93f5605d717c · outbound

This paper cites Evaluation of methods to detect shifts in directional selection at the genome scale.

Likelihood-free inference of phylogenetic tree posterior distributions Evaluation of methods to detect shifts in directional selection at the genome scale

Reference 5

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Observation 69eeb479-ae0b-4748-983b-7dba76cf1764 · outbound

This paper cites Evolutionary trees from dna sequences: a maximum likelihood approach.

Likelihood-free inference of phylogenetic tree posterior distributions Evolutionary trees from dna sequences: a maximum likelihood approach

Reference 6

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Observation a5b34280-0cbe-4d9e-9442-2fd7140f9256 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Likelihood-free inference of phylogenetic tree posterior distributions Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 7

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Observation 531176f5-a7a7-4487-ade4-350523ae843a · outbound

This paper cites Automatic posterior transformation for likelihood-free inference.

Likelihood-free inference of phylogenetic tree posterior distributions Automatic posterior transformation for likelihood-free inference

Reference 8

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Observation 581a5aa7-ceca-4c25-8ef4-79edb1cc78ab · outbound

This paper cites Grosshauser M, Zaharias P.

Likelihood-free inference of phylogenetic tree posterior distributions Grosshauser M, Zaharias P

Reference 9

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Observation dc58b0b0-547c-4cd0-ab5c-922fe70290ef · outbound

This paper cites Nextstrain: real-time tracking of pathogen evolution.

Likelihood-free inference of phylogenetic tree posterior distributions Nextstrain: real-time tracking of pathogen evolution

Reference 10

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This paper cites Axial Attention in Multidimensional Transformers.

Likelihood-free inference of phylogenetic tree posterior distributions Axial Attention in Multidimensional Transformers

Reference 11

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Observation b63112ba-798e-441f-a2b0-1195d7d59f83 · outbound

This paper cites Huelsenbeck and Fredrik Ronquist.

Likelihood-free inference of phylogenetic tree posterior distributions Huelsenbeck and Fredrik Ronquist

Reference 12

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Observation 9ea08019-b82f-4781-9274-3ad7e70e0273 · outbound

This paper cites Landis, Tracy A.

Likelihood-free inference of phylogenetic tree posterior distributions Landis, Tracy A

Reference 13

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Observation 4c0e1995-acfd-4411-8bda-66c1ae179c1d · outbound

This paper cites Scaling DEPP phylogenetic placement to ultra-large reference trees: a tree-aware ensemble approach.

Likelihood-free inference of phylogenetic tree posterior distributions Scaling DEPP phylogenetic placement to ultra-large reference trees: a tree-aware ensemble approach

Reference 14

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Likelihood-free inference of phylogenetic tree posterior distributions Unresolved cited work

Reference 15

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Likelihood-free inference of phylogenetic tree posterior distributions Unresolved cited work

Reference 16

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This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention, 2020.

Likelihood-free inference of phylogenetic tree posterior distributions Transformers are rnns: Fast autoregressive transformers with linear attention, 2020

Reference 17

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Observation cbd6f29a-7221-4ec5-b444-e860524e8bc0 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Likelihood-free inference of phylogenetic tree posterior distributions Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 18

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This paper cites A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process.

Likelihood-free inference of phylogenetic tree posterior distributions A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process

Reference 19

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Observation 42d91d89-9f40-4ed4-a59c-21a0b5176b99 · outbound

This paper cites Inferring long-term effective population size with mutation–selection models.

Likelihood-free inference of phylogenetic tree posterior distributions Inferring long-term effective population size with mutation–selection models

Reference 20

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Observation 7bf16028-a03a-4a01-866a-dddf983c2119 · outbound

This paper cites An Improved General Amino Acid Replacement Matrix.

Likelihood-free inference of phylogenetic tree posterior distributions An Improved General Amino Acid Replacement Matrix

Reference 21

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This paper cites Fastme 2.0: a comprehensive, accurate, and fast distance-based phylogeny inference program.

Likelihood-free inference of phylogenetic tree posterior distributions Fastme 2.0: a comprehensive, accurate, and fast distance-based phylogeny inference program

Reference 22

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Likelihood-free inference of phylogenetic tree posterior distributions Benchmarking simulation-based inference

Reference 23

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This paper cites Iq-tree 2: New models and efficient methods for phylogenetic inference in the genomic era.

Likelihood-free inference of phylogenetic tree posterior distributions Iq-tree 2: New models and efficient methods for phylogenetic inference in the genomic era

Reference 24

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This paper cites Muñoz-Gómez, Edward Susko, Kelsey Williamson, Laura Eme, Claudio H.

Likelihood-free inference of phylogenetic tree posterior distributions Muñoz-Gómez, Edward Susko, Kelsey Williamson, Laura Eme, Claudio H

Reference 25

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Observation 99f8e6c0-e854-48c9-9416-66f59807de89 · outbound

This paper cites Phyloformer: Fast, accurate, and versatile phylogenetic reconstruction with deep neural networks.

Likelihood-free inference of phylogenetic tree posterior distributions Phyloformer: Fast, accurate, and versatile phylogenetic reconstruction with deep neural networks

Reference 26

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Likelihood-free inference of phylogenetic tree posterior distributions Price, Paramvir S

Reference 27

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Likelihood-free inference of phylogenetic tree posterior distributions Unresolved cited work

Reference 28

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Observation 3bb26ef2-8b77-4cf5-9232-ad90e5494e7d · outbound

This paper cites Radev, Ulf K.

Likelihood-free inference of phylogenetic tree posterior distributions Radev, Ulf K

Reference 29

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Observation ded507f3-234a-431d-8f61-38be8a5640e9 · outbound

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Likelihood-free inference of phylogenetic tree posterior distributions Msa transformer

Reference 30

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Likelihood-free inference of phylogenetic tree posterior distributions Robinson and L.R

Reference 31

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This paper cites The neighbor-joining method: a new method for reconstructing phylogenetic trees.

Likelihood-free inference of phylogenetic tree posterior distributions The neighbor-joining method: a new method for reconstructing phylogenetic trees

Reference 32

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This paper cites Accurate Inference of Tree Topologies from Multiple Sequence Alignments Using Deep Learning.

Likelihood-free inference of phylogenetic tree posterior distributions Accurate Inference of Tree Topologies from Multiple Sequence Alignments Using Deep Learning

Reference 33

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Observation a484c825-34e6-4b1d-b8f2-01b867a633be · outbound

This paper cites Novel symmetry-preserving neural network model for phylogenetic inference.

Likelihood-free inference of phylogenetic tree posterior distributions Novel symmetry-preserving neural network model for phylogenetic inference

Reference 34

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This paper cites Consideration of RNA Secondary Structure Significantly Improves Likelihood - Based Estimates of Phylogeny : Examples from the Bilateria.

Likelihood-free inference of phylogenetic tree posterior distributions Consideration of RNA Secondary Structure Significantly Improves Likelihood - Based Estimates of Phylogeny : Examples from the Bilateria

Reference 35

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Likelihood-free inference of phylogenetic tree posterior distributions Simulations of sequence evolution: how (un) realistic they are and why

Reference 36

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This paper cites Simplefold: Folding proteins is simpler than you think, 2025.

Likelihood-free inference of phylogenetic tree posterior distributions Simplefold: Folding proteins is simpler than you think, 2025

Reference 37

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Observation c8c538e0-f01f-46f7-b48a-761e3a65eb1c · outbound

This paper cites Supertree Construction: Opportunities and Challenges.

Likelihood-free inference of phylogenetic tree posterior distributions Supertree Construction: Opportunities and Challenges

Reference 38

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Likelihood-free inference of phylogenetic tree posterior distributions Minifold: Simple, fast, and accurate protein structure prediction

Reference 39

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This paper cites ART ree: A deep autoregressive model for phylogenetic inference.

Likelihood-free inference of phylogenetic tree posterior distributions ART ree: A deep autoregressive model for phylogenetic inference

Reference 40

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Likelihood-free inference of phylogenetic tree posterior distributions Matsen IV

Reference 41

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Likelihood-free inference of phylogenetic tree posterior distributions Phylo GFN : Phylogenetic inference with generative flow networks

Reference 42

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This paper cites Deep residual neural networks resolve quartet molecular phylogenies.

Likelihood-free inference of phylogenetic tree posterior distributions Deep residual neural networks resolve quartet molecular phylogenies

Reference 43

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This paper cites Tamuri, Matteo Battini, Fabrícia F.

Likelihood-free inference of phylogenetic tree posterior distributions Tamuri, Matteo Battini, Fabrícia F

Reference 44

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Pith citing papers

Observation cd9a14a0-5ee8-4122-b5f7-071471d6d989 · inbound

Phylogenetic Tree Inference with Tropical Axial Attention cites this paper.

Phylogenetic Tree Inference with Tropical Axial Attention Likelihood-free inference of phylogenetic tree posterior distributions

Reference 4

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Observation 6c5b8a17-8b52-4e6e-b6d1-9281ece6a588 · inbound

Modeling Protein Evolution with Generative Models: from Extant Sequence Data to Evolutionary Dynamics cites this paper.

Modeling Protein Evolution with Generative Models: from Extant Sequence Data to Evolutionary Dynamics Likelihood-free inference of phylogenetic tree posterior distributions

Reference 156

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