Paper Citation Record · LEDGER

Modeling Discrete Data with High-Order Vector Potts Models

As of 22 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2606.03429.

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

pith.paper-citation-record.v1
2606.03429 v1

Coverage vector

measured 55 of 55 reference resolution

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measured 56 of 56 standing notices

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation 2f6374b1-1d66-44f2-81b7-eccedc6a0acf · outbound

This paper cites Information theory and statistical mechanics.

Modeling Discrete Data with High-Order Vector Potts Models Information theory and statistical mechanics

Reference 1

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Observation 4671f069-9214-4c93-bef9-9804a4423675 · outbound

This paper cites Inverse statistical problems: from the inverse Ising problem to data science.

Modeling Discrete Data with High-Order Vector Potts Models Inverse statistical problems: from the inverse Ising problem to data science

Reference 2

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Observation 309121cc-b351-4819-93a9-20ea1b6984ca · outbound

This paper cites Weak pairwise correlations imply strongly correlated network states in a neural population.

Modeling Discrete Data with High-Order Vector Potts Models Weak pairwise correlations imply strongly correlated network states in a neural population

Reference 3

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Observation ed904c07-92b6-4933-960b-ed9829e040f0 · outbound

This paper cites Ex” for Extraversion, “ES.

Modeling Discrete Data with High-Order Vector Potts Models Ex” for Extraversion, “ES

Reference 4

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Observation bc328abe-a90e-4c76-b72d-4ea18befe0ac · outbound

This paper cites Using the principle of entropy maximization to infer genetic interaction networks from gene expression patterns.

Modeling Discrete Data with High-Order Vector Potts Models Using the principle of entropy maximization to infer genetic interaction networks from gene expression patterns

Reference 5

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Observation 379770ff-bc53-4563-ac9f-727f36ba152b · outbound

This paper cites Identiﬁcation of direct residue contacts in protein–protein interaction by message passing.

Modeling Discrete Data with High-Order Vector Potts Models Identiﬁcation of direct residue contacts in protein–protein interaction by message passing

Reference 6

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Observation 15e67ddd-9577-4a50-bf6c-5214b71b6743 · outbound

This paper cites Direct-coupling analysis of residue coevolution captures native contacts across many protein families.

Modeling Discrete Data with High-Order Vector Potts Models Direct-coupling analysis of residue coevolution captures native contacts across many protein families

Reference 7

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Observation a2144eaf-4d89-4554-b47e-7e70628815af · outbound

This paper cites Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models.

Modeling Discrete Data with High-Order Vector Potts Models Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models

Reference 8

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Observation 1f886c7f-d3ff-4045-b016-eeb3f85196fe · outbound

This paper cites ACE: adaptive cluster expansion for maximum entropy graphical model inference.

Modeling Discrete Data with High-Order Vector Potts Models ACE: adaptive cluster expansion for maximum entropy graphical model inference

Reference 9

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Observation e5270de2-8af7-4461-970b-5dbf9355fdcb · outbound

This paper cites Benchmarking inverse statistical approaches for protein structure and design with exactly solvable models.

Modeling Discrete Data with High-Order Vector Potts Models Benchmarking inverse statistical approaches for protein structure and design with exactly solvable models

Reference 10

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Observation a790bce4-dfb6-4753-a6b3-9a45088a07d8 · outbound

This paper cites Inference of compressed Potts graphical models.

Modeling Discrete Data with High-Order Vector Potts Models Inference of compressed Potts graphical models

Reference 11

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Observation b1626a2c-b334-45d5-bc32-3122402c5908 · outbound

This paper cites Networks beyond pairwise interactions: Structure and dynamics.

Modeling Discrete Data with High-Order Vector Potts Models Networks beyond pairwise interactions: Structure and dynamics

Reference 12

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Observation ef37a847-a23f-487e-91be-aa6f05743100 · outbound

This paper cites The physics of higher-order interactions in complex systems.

Modeling Discrete Data with High-Order Vector Potts Models The physics of higher-order interactions in complex systems

Reference 13

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Observation 262e0077-8b49-4934-b684-3df1a73bc057 · outbound

This paper cites On the typical properties of inverse problems in statistical mechanics.

Modeling Discrete Data with High-Order Vector Potts Models On the typical properties of inverse problems in statistical mechanics

Reference 14

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Observation 328a0b3d-385c-4d0f-9e8c-7cbb18e2635b · outbound

This paper cites The stochastic complexity of spin models: Are pairwise models really simple? Entropy, 20(10):739, 2018.

Modeling Discrete Data with High-Order Vector Potts Models The stochastic complexity of spin models: Are pairwise models really simple? Entropy, 20(10):739, 2018

Reference 15

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Observation 090c597d-4373-451e-9a83-01b78df7379a · outbound

This paper cites Duality in generalized ising models and phase transitions without local order parame- ters.

Modeling Discrete Data with High-Order Vector Potts Models Duality in generalized ising models and phase transitions without local order parame- ters

Reference 16

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Observation 7fd24871-1de9-4f06-86ee-5f85da7bc1ff · outbound

This paper cites Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan.

Modeling Discrete Data with High-Order Vector Potts Models Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan

Reference 17

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Observation 680307fc-6366-4255-b970-24bd919d5fdb · outbound

This paper cites Stochastic complexity and modeling.

Modeling Discrete Data with High-Order Vector Potts Models Stochastic complexity and modeling

Reference 18

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Observation b8f85b22-7a21-4ec8-b2e6-7054b985cd55 · outbound

This paper cites Fisher information and stochastic complexity.

Modeling Discrete Data with High-Order Vector Potts Models Fisher information and stochastic complexity

Reference 19

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Observation 4eb1a0ec-fc9a-43b4-ad23-507f735d04cd · outbound

This paper cites The minimum description length principle.

Modeling Discrete Data with High-Order Vector Potts Models The minimum description length principle

Reference 20

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This paper cites Statistical inference, Occam’s razor, and statistical mechanics on the space of probability distributions.

Modeling Discrete Data with High-Order Vector Potts Models Statistical inference, Occam’s razor, and statistical mechanics on the space of probability distributions

Reference 21

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This paper cites Counting probability distributions: Diﬀeren- tial geometry and model selection.

Modeling Discrete Data with High-Order Vector Potts Models Counting probability distributions: Diﬀeren- tial geometry and model selection

Reference 22

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Modeling Discrete Data with High-Order Vector Potts Models Bayesian inference of minimally complex models with interactions of arbitrary order

Reference 23

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This paper cites Some generalized order-disorder transformations.

Modeling Discrete Data with High-Order Vector Potts Models Some generalized order-disorder transformations

Reference 24

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This paper cites Alternative approach to maximum-entropy inference.

Modeling Discrete Data with High-Order Vector Potts Models Alternative approach to maximum-entropy inference

Reference 25

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Observation 8bf9632d-7ee0-4f26-b90f-39bf03f96dd0 · outbound

This paper cites Statistical theory of equations of state and phase transitions.

Modeling Discrete Data with High-Order Vector Potts Models Statistical theory of equations of state and phase transitions

Reference 26

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Observation aa660d4a-59f2-487c-8db1-c98a449972b7 · outbound

This paper cites Violation of lee-yang circle theorem for ising phase transitions on complex networks.

Modeling Discrete Data with High-Order Vector Potts Models Violation of lee-yang circle theorem for ising phase transitions on complex networks

Reference 27

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Observation 374af704-e650-4577-9eee-4ba255725881 · outbound

This paper cites Partition function zeros for the ising model on complete graphs and on annealed scale-free networks.

Modeling Discrete Data with High-Order Vector Potts Models Partition function zeros for the ising model on complete graphs and on annealed scale-free networks

Reference 28

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Observation 7ddeb8f2-f3c0-47c1-80f3-20fb6e48aab8 · outbound

This paper cites Potts models and random-cluster processes with many-body interactions.

Modeling Discrete Data with High-Order Vector Potts Models Potts models and random-cluster processes with many-body interactions

Reference 29

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Observation 8059e3d3-20f0-4219-b64b-4eb5cd5f18a4 · outbound

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Modeling Discrete Data with High-Order Vector Potts Models The Potts model

Reference 30

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This paper cites Blume–capel model: Estimation of a three stable state network for- 1, 0 and+ 1 data.

Modeling Discrete Data with High-Order Vector Potts Models Blume–capel model: Estimation of a three stable state network for- 1, 0 and+ 1 data

Reference 31

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Observation a0a4a684-a16e-47c4-9611-8f0b2aa5ceb9 · outbound

This paper cites Theory of the ﬁrst-order magnetic phase change in u o 2.

Modeling Discrete Data with High-Order Vector Potts Models Theory of the ﬁrst-order magnetic phase change in u o 2

Reference 32

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Observation 07cb43f8-74af-4d26-aea5-9eae1a566780 · outbound

This paper cites On the possibility of ﬁrst-order phase transitions in ising systems of triplet ions with zero-ﬁeld splitting.

Modeling Discrete Data with High-Order Vector Potts Models On the possibility of ﬁrst-order phase transitions in ising systems of triplet ions with zero-ﬁeld splitting

Reference 33

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Modeling Discrete Data with High-Order Vector Potts Models Unresolved cited work

Reference 34

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Observation 295ab0dc-8b25-4fa6-89b7-4e2c48e6bdcc · outbound

This paper cites A haplotype inference method based on sparsely connected multi-body ising model.

Modeling Discrete Data with High-Order Vector Potts Models A haplotype inference method based on sparsely connected multi-body ising model

Reference 35

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This paper cites On sparse, spec- tral and other parameterizations of binary probabilistic models.

Modeling Discrete Data with High-Order Vector Potts Models On sparse, spec- tral and other parameterizations of binary probabilistic models

Reference 36

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This paper cites Ising-like models on arbitrary graphs: The hadamard way.

Modeling Discrete Data with High-Order Vector Potts Models Ising-like models on arbitrary graphs: The hadamard way

Reference 37

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This paper cites Representing multivariate patterns of binary data: {0, 1}versus {±1}-conventions in the high-order Ising-like models.

Modeling Discrete Data with High-Order Vector Potts Models Representing multivariate patterns of binary data: {0, 1}versus {±1}-conventions in the high-order Ising-like models

Reference 38

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This paper cites High-order community detection in data with minimally complex models and application to modeling the human brain.

Modeling Discrete Data with High-Order Vector Potts Models High-order community detection in data with minimally complex models and application to modeling the human brain

Reference 39

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Modeling Discrete Data with High-Order Vector Potts Models Information geometry on hierarchy of probability distributions

Reference 40

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Modeling Discrete Data with High-Order Vector Potts Models Beyond sin and cos

Reference 41

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This paper cites A Course in the Theory of Groups , volume 80.

Modeling Discrete Data with High-Order Vector Potts Models A Course in the Theory of Groups , volume 80

Reference 42

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Modeling Discrete Data with High-Order Vector Potts Models Information and the accuracy attainable in the estimation of statistical parameters

Reference 43

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This paper cites Methods of information geometry , volume 191.

Modeling Discrete Data with High-Order Vector Potts Models Methods of information geometry , volume 191

Reference 44

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Modeling Discrete Data with High-Order Vector Potts Models Criticality of mostly informative samples: a bayesian model selection approach

Reference 45

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Modeling Discrete Data with High-Order Vector Potts Models On maximum entropy and inference

Reference 46

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Modeling Discrete Data with High-Order Vector Potts Models An invariant form for the prior probability in estimation problems

Reference 47

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Modeling Discrete Data with High-Order Vector Potts Models Loopless algorithms for generating permutations, combinations, and other combinatorial conﬁgurations

Reference 48

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Modeling Discrete Data with High-Order Vector Potts Models The art of computer programming, volume 4A: combinatorial algorithms, part 1

Reference 49

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Modeling Discrete Data with High-Order Vector Potts Models MinCompSpin(mcmpy): a package for model selection among minimally complex models for discrete data, 2026

Reference 50

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Observation 28a281e4-67e7-496b-95bd-8087e5c23541 · outbound

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Modeling Discrete Data with High-Order Vector Potts Models Supreme Court database, version 2011 release 3

Reference 51

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Modeling Discrete Data with High-Order Vector Potts Models Statistical mechanics of the US supreme court

Reference 52

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Modeling Discrete Data with High-Order Vector Potts Models The development of markers for the big-ﬁve factor structure

Reference 53

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Modeling Discrete Data with High-Order Vector Potts Models https://openpsychometrics.org/ _rawdata/

Reference 54

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Observation 844f8de6-0971-4b3e-859a-f55afd366757 · outbound

This paper cites Strong optimality of the normalized ml models as universal codes and information in data.

Modeling Discrete Data with High-Order Vector Potts Models Strong optimality of the normalized ml models as universal codes and information in data

Reference 55

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Pith citing papers

Observation ba9a2c85-275c-432b-bc34-8c97a5e79642 · inbound

A Hypergraph Tutte Polynomial cites this paper.

A Hypergraph Tutte Polynomial Modeling Discrete Data with High-Order Vector Potts Models

Reference 15

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