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Paper Citation Record · LEDGER

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.23349.

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pith.paper-citation-record.v1
2607.23349 v1

Coverage vector

measured 28 of 28 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

28 of 28 outbound references displayed

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Outbound references

Observation c52dea2d-05c4-457c-8859-9a8ffe35b442 · outbound

This paper cites 28: Opinion dynamics in social networks: from models to data,.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule 28: Opinion dynamics in social networks: from models to data,

Reference 1

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This paper cites Majority-vote model for financial markets,.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Majority-vote model for financial markets,

Reference 2

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This paper cites The impact of external events on the emergence of social herding of economic sentiment,.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule The impact of external events on the emergence of social herding of economic sentiment,

Reference 3

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This paper cites Herd behavior and financial crashes: An interacting particle system approach,.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Herd behavior and financial crashes: An interacting particle system approach,

Reference 4

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Observation b3cfb570-7bf9-44e3-9bd6-2c75d38bfcf0 · outbound

This paper cites Statistical physics of social dynamics,.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Statistical physics of social dynamics,

Reference 5

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This paper cites Phase transitions, collective emotions and decision-making problem in hetero- geneous social systems,.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Phase transitions, collective emotions and decision-making problem in hetero- geneous social systems,

Reference 6

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Phase transition in the social impact model of opinion formation in scale-free networks: The social power effect,

Reference 7

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This paper cites Feature extraction of machine learning and phase transition point of Ising model.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Feature extraction of machine learning and phase transition point of Ising model

Reference 8

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This paper cites Thermodynamics and feature extraction by machine learning,.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Thermodynamics and feature extraction by machine learning,

Reference 9

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Discovering phase transitions with unsupervised learning,

Reference 10

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Observation e97fa56d-fe0a-402f-9c93-15d0ccfa84e1 · outbound

This paper cites Discovering phases, phase transitions, and crossovers through unsupervised machine learning: A critical examination,.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Discovering phases, phase transitions, and crossovers through unsupervised machine learning: A critical examination,

Reference 11

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Observation bb4cb121-586b-4cfd-9bea-c4c9f1e084d3 · outbound

This paper cites Thermodynamics of the ising model encoded in restricted boltzmann machines,.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Thermodynamics of the ising model encoded in restricted boltzmann machines,

Reference 12

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This paper cites The capabilities of boltzmann machines to detect and reconstruct ising system’s configurations from a given temperature,.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule The capabilities of boltzmann machines to detect and reconstruct ising system’s configurations from a given temperature,

Reference 13

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Ising percolation in a three-state majority vote model,

Reference 14

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Three-state majority-vote model on square lattice,

Reference 15

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Observation 48c50cd8-8d05-47f7-b075-5787accf387b · outbound

This paper cites Three-state majority-vote model on small-world networks,.

Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Three-state majority-vote model on small-world networks,

Reference 16

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Three-state majority-vote model on scale-free networks and the unitary relation for critical exponents,

Reference 17

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Gaussian-Bernoulli RBMs Without Tears

Reference 18

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Dynamical analysis of contrastive divergence learning: Restricted boltzmann machines with gaussian visible units,

Reference 19

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Training restricted boltzmann machines: An introduction,

Reference 20

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Training products of experts by minimizing contrastive divergence,

Reference 21

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Machine learning phases of matter,

Reference 22

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Equilibrium and non- equilibrium regimes in the learning of restricted boltzmann machines,

Reference 23

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Normalizing flows: An introduction and review of current methods,

Reference 24

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Variational inference with normalizing flows,

Reference 25

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Generative modeling by estimating gradients of the data distribution,

Reference 26

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule Denoising diffusion probabilistic models,

Reference 27

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Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule The Impact of External Events on the Emergence of Social Herding of Economic Sentiment

Reference 2008

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