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Paper Citation Record · LEDGER

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs

As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.22314.

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pith.paper-citation-record.v1
2607.22314 v1

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measured 54 of 54 reference resolution

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Outbound references

Observation a49ee2b1-4337-437e-9da8-f8c32b1ab933 · outbound

This paper cites Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493–500, 2024.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493–500, 2024

Reference 1

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Observation 674cfacc-d7d7-42f6-b692-8f62b7a935e1 · outbound

This paper cites OpenProteinSet: Training data for structural biology at scale.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs OpenProteinSet: Training data for structural biology at scale

Reference 2

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Observation 69b182e8-fd20-4ca6-a44b-056be9dccc30 · outbound

This paper cites Principles that govern the folding of protein chains.Science, 181(4096): 223–230, 1973.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Principles that govern the folding of protein chains.Science, 181(4096): 223–230, 1973

Reference 3

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Observation 7ae8bfbf-4a3d-4219-b79e-281b86e7e226 · outbound

This paper cites Accurate prediction of protein structures and interactions using a three-track neural network.Science, 373(6557):871–876, 2021.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Accurate prediction of protein structures and interactions using a three-track neural network.Science, 373(6557):871–876, 2021

Reference 4

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Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Unresolved cited work

Reference 5

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Observation 32e9ba2b-c7db-406b-a743-5ddd7e72237d · outbound

This paper cites Sampling alternative conformational states of transporters and receptors with alphafold2.elife, 11:e75751, 2022.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Sampling alternative conformational states of transporters and receptors with alphafold2.elife, 11:e75751, 2022

Reference 6

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Observation 1b2f8a15-8584-48f2-8eaf-41ca7f70216d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

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Observation a726a7ea-09ab-4ebb-8e15-0ae78e0532ca · outbound

This paper cites The protein-folding problem, 50 years on.science, 338 (6110):1042–1046, 2012.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs The protein-folding problem, 50 years on.science, 338 (6110):1042–1046, 2012

Reference 8

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This paper cites Prottrans: toward understanding the language of life through self-supervised learning.IEEE transactions on pattern analysis and machine intelligence, 44(10):7112–7127, 2021.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Prottrans: toward understanding the language of life through self-supervised learning.IEEE transactions on pattern analysis and machine intelligence, 44(10):7112–7127, 2021

Reference 9

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This paper cites Protein complex prediction with alphafold-multimer.biorxiv, pages 2021–10, 2021.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Protein complex prediction with alphafold-multimer.biorxiv, pages 2021–10, 2021

Reference 10

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This paper cites Disease variant prediction with deep generative models of evolutionary data.Nature, 599(7883):91–95, 2021.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Disease variant prediction with deep generative models of evolutionary data.Nature, 599(7883):91–95, 2021

Reference 11

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Observation fab5fd39-e3f6-4d88-bbd3-438d9a3a0d57 · outbound

This paper cites Mixture modeling by affinity propagation.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Mixture modeling by affinity propagation

Reference 12

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This paper cites Frey and Delbert Dueck.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Frey and Delbert Dueck

Reference 13

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This paper cites Modeling aspects of the language of life through transfer-learning protein sequences.BMC bioinformatics, 20(1):723, 2019.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Modeling aspects of the language of life through transfer-learning protein sequences.BMC bioinformatics, 20(1):723, 2019

Reference 14

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This paper cites Hofmann and A.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Hofmann and A

Reference 15

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This paper cites A-prot: protein structure modeling using msa trans- former.BMC bioinformatics, 23(1):93, 2022.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs A-prot: protein structure modeling using msa trans- former.BMC bioinformatics, 23(1):93, 2022

Reference 16

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Observation f46270bf-b3de-48fe-aab5-d8bdf7d46a66 · outbound

This paper cites Mutation effects predicted from sequence co-variation.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Mutation effects predicted from sequence co-variation

Reference 17

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This paper cites Bidirectional LSTM-CRF Models for Sequence Tagging.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 18

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Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Unresolved cited work

Reference 19

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This paper cites Efficient inference in fully connected crfs with gaussian edge potentials.Advances in neural information processing systems, 24, 2011.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Efficient inference in fully connected crfs with gaussian edge potentials.Advances in neural information processing systems, 24, 2011

Reference 20

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Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Unresolved cited work

Reference 21

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This paper cites Factor graphs and the sum-product algorithm.IEEE Transactions on information theory, 47(2):498–519, 2001.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Factor graphs and the sum-product algorithm.IEEE Transactions on information theory, 47(2):498–519, 2001

Reference 22

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This paper cites Conditional random fields: Probabilistic models for segmenting and labeling sequence data.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Conditional random fields: Probabilistic models for segmenting and labeling sequence data

Reference 23

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This paper cites Schafer, Jeshuwin Prabakaran, Devlina Chakravarty, Madeleine F.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Schafer, Jeshuwin Prabakaran, Devlina Chakravarty, Madeleine F

Reference 24

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This paper cites Clustering by soft-constraint affinity propaga- tion: applications to gene-expression data.Bioinformatics, 23(20):2708–2715, 2007.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Clustering by soft-constraint affinity propaga- tion: applications to gene-expression data.Bioinformatics, 23(20):2708–2715, 2007

Reference 25

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This paper cites Evolutionary-scale prediction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130, 2023.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Evolutionary-scale prediction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130, 2023

Reference 26

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This paper cites Large language models generate functional protein sequences across diverse families.Nature biotechnology, 41 (8):1099–1106, 2023.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Large language models generate functional protein sequences across diverse families.Nature biotechnology, 41 (8):1099–1106, 2023

Reference 27

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This paper cites Protein 3d structure computed from evolutionary sequence variation.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Protein 3d structure computed from evolutionary sequence variation

Reference 28

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This paper cites Colabfold: making protein folding accessible to all.Nature methods, 19(6): 679–682, 2022.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Colabfold: making protein folding accessible to all.Nature methods, 19(6): 679–682, 2022

Reference 29

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This paper cites Cui, David C.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Cui, David C

Reference 30

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correction dated 2024-04-10. Source: crossref record 10.1038/s41467-024-47504-0->10.1038/s41467-024-46715-9:correction, observed 2026-07-11T03:04:19.271678+00:00. This notice travels one citation hop only.

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This paper cites Direct-coupling analysis of residue coevolution captures native contacts across many protein families.Proceedings of the National Academy of Sciences, 108(49):E1293–E1301, 2011.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Direct-coupling analysis of residue coevolution captures native contacts across many protein families.Proceedings of the National Academy of Sciences, 108(49):E1293–E1301, 2011

Reference 31

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This paper cites Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval

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Observation 9f4d6f0e-5a7c-448a-8d58-df009e31163c · outbound

This paper cites Elsevier, 2014.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Elsevier, 2014

Reference 33

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This paper cites Scikit- learn: Machine learning in python.the Journal of machine Learning research, 12:2825–2830, 2011.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Scikit- learn: Machine learning in python.the Journal of machine Learning research, 12:2825–2830, 2011

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This paper cites End-to-end learning of multiple sequence alignments with differentiable smith–waterman.Bioinformatics, 39(1):btac724, 2023.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs End-to-end learning of multiple sequence alignments with differentiable smith–waterman.Bioinformatics, 39(1):btac724, 2023

Reference 35

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Observation 0c7c5ecb-e8e4-40f8-835a-8c30a88e8fc1 · outbound

This paper cites Collaborative summarization: When collaborative filtering meets document summarization.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Collaborative summarization: When collaborative filtering meets document summarization

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Observation 4fb666de-2423-4ab6-aec3-b761cbb8edee · outbound

This paper cites Evaluating Protein Transfer Learning with TAPE.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Evaluating Protein Transfer Learning with TAPE

Reference 37

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Observation d123c7b9-a707-48be-ac61-91906feaab37 · outbound

This paper cites Transformer protein language models are unsupervised structure learners.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Transformer protein language models are unsupervised structure learners

Reference 38

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Observation 6e72cbe2-db2c-487e-81d9-b1be5b2b41b7 · outbound

This paper cites Msa transformer.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Msa transformer

Reference 39

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Observation 14861fad-5c48-4ffd-b0aa-b7fbde1c058a · outbound

This paper cites an unresolved cited work.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Unresolved cited work

Reference 40

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Observation 34c13b54-f7f9-4aec-b50b-f1e11e5dc558 · outbound

This paper cites Improved protein structure prediction using potentials from deep learning.Nature, 577(7792):706–710, 2020.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Improved protein structure prediction using potentials from deep learning.Nature, 577(7792):706–710, 2020

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Observation 00e7ee64-0a3c-4f88-8f4a-8e1bf075f1aa · outbound

This paper cites Stein and Hassane S.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Stein and Hassane S

Reference 42

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source=pdf_text observed=2026-08-01T05:12:52.844405Z digest=sha256:3dee493db2064cbb968357bb576039fe713d30db1ce0a2d20a2feb871d08048b

Observation eab2edd5-313e-48dd-b6ae-585afe224ee7 · outbound

This paper cites Speach_af: Sampling protein ensembles and conformational heterogeneity with alphafold2.PLoS computational biology, 18(8):e1010483, 2022.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Speach_af: Sampling protein ensembles and conformational heterogeneity with alphafold2.PLoS computational biology, 18(8):e1010483, 2022

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Observation 9e5179ff-1c16-4303-8911-64c504d653af · outbound

This paper cites MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets.Nature Biotechnology, 35(11):1026–1028, 2017.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets.Nature Biotechnology, 35(11):1026–1028, 2017

Reference 44

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Observation f8cf44d6-82a3-47df-afac-ee6d42df52c9 · outbound

This paper cites Hh-suite3 for fast remote homology detection and deep protein annotation.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Hh-suite3 for fast remote homology detection and deep protein annotation

Reference 45

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Observation 8ba3225c-1616-4875-baf9-0b3dfa1209cb · outbound

This paper cites BERTology Meets Biology: Interpreting Attention in Protein Language Models.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs BERTology Meets Biology: Interpreting Attention in Protein Language Models

Reference 46

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source=pdf_text observed=2026-08-01T05:12:53.254465Z digest=sha256:e76788c6ad017ad3b581f01eece153ced3e3238abbe99a9985b446423656afed

Observation d489ac5f-2751-466e-bc94-3696dd831a27 · outbound

This paper cites Graphical models, exponential families, and variational inference.Foundations and Trends® in Machine Learning, 1(1-2):1–305, 2008.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Graphical models, exponential families, and variational inference.Foundations and Trends® in Machine Learning, 1(1-2):1–305, 2008

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Observation 02e37f2e-e263-4a89-a693-6ccb2d770c01 · outbound

This paper cites Accurate de novo prediction of protein contact map by ultra-deep learning model.PLoS computational biology, 13(1): e1005324, 2017.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Accurate de novo prediction of protein contact map by ultra-deep learning model.PLoS computational biology, 13(1): e1005324, 2017

Reference 48

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Observation e4deb748-330f-492e-b8f1-0542546a1833 · outbound

This paper cites Predicting multiple conformations via sequence clustering and alphafold2.Nature, 625(7996):832–839, 2024.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Predicting multiple conformations via sequence clustering and alphafold2.Nature, 625(7996):832–839, 2024

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Observation ff860501-83f2-49b0-a10f-4aa9ecabd264 · outbound

This paper cites Improved protein structure prediction using predicted interresidue orientations.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Improved protein structure prediction using predicted interresidue orientations

Reference 50

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Observation c74caed1-9122-4eef-8650-a3a28aa94f36 · outbound

This paper cites an unresolved cited work.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Unresolved cited work

Reference 52

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Observation 38de5427-8b6b-4032-8d91-9ba94f8a5bf5 · outbound

This paper cites an unresolved cited work.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Unresolved cited work

Reference 53

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Observation 65e18e3b-d233-49f7-922f-c9728015aa8f · outbound

This paper cites orphan folds.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs orphan folds

Reference 54

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source=pdf_text observed=2026-08-01T05:12:53.772027Z digest=sha256:00b50080b744b52b55197c67ff533e519df370cc6e618e6e1d67d5549ed1b67f

Observation 36d63135-ed8a-4aa6-8d5b-92683d7a4169 · outbound

This paper cites an unresolved cited work.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Unresolved cited work

Reference 2021

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Pith citing papers

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