Paper Citation Record · LEDGER

Pre-trained Large Language Models Learn Hidden Markov Models In-context

As of 20 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2506.07298.

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

pith.paper-citation-record.v1
2506.07298 v3

Coverage vector

measured 62 of 62 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation 63f1aa76-9414-4f58-a482-09deaa8bbd7b · outbound

This paper cites GPT-4 Technical Report.

Pre-trained Large Language Models Learn Hidden Markov Models In-context GPT-4 Technical Report

Reference 1

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This paper cites A method of moments for mixture models and hidden markov models.

Pre-trained Large Language Models Learn Hidden Markov Models In-context A method of moments for mixture models and hidden markov models

Reference 2

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This paper cites Mice alternate between discrete strategies during perceptual decision-making.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Mice alternate between discrete strategies during perceptual decision-making

Reference 3

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This paper cites Vector- based navigation using grid-like representations in artificial agents.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Vector- based navigation using grid-like representations in artificial agents

Reference 4

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This paper cites A maximization technique occurring in the statistical analysis of probabilistic functions of markov chains.

Pre-trained Large Language Models Learn Hidden Markov Models In-context A maximization technique occurring in the statistical analysis of probabilistic functions of markov chains

Reference 5

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This paper cites Birth of a transformer: A memory viewpoint.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Birth of a transformer: A memory viewpoint

Reference 6

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This paper cites Language models are few-shot learners.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Language models are few-shot learners

Reference 7

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This paper cites Moulines, E.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Moulines, E

Reference 8

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Pre-trained Large Language Models Learn Hidden Markov Models In-context Unresolved cited work

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This paper cites Discovering symbolic cognitive models from human and animal behavior.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Discovering symbolic cognitive models from human and animal behavior

Reference 10

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Pre-trained Large Language Models Learn Hidden Markov Models In-context Unresolved cited work

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This paper cites Cover and Joy A.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Cover and Joy A

Reference 12

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This paper cites The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains.

Pre-trained Large Language Models Learn Hidden Markov Models In-context The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

Reference 13

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This paper cites and Merhav, N.

Pre-trained Large Language Models Learn Hidden Markov Models In-context and Merhav, N

Reference 14

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This paper cites Discrete stochastic processes.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Discrete stochastic processes

Reference 15

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This paper cites Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Stochastic relaxation, gibbs distributions, and the bayesian restoration of images

Reference 16

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Observation 85ee5a64-4efe-4e6b-b1c9-1059027fdf4b · outbound

This paper cites Hidden markov models: Pitfalls and opportunities in ecology.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Hidden markov models: Pitfalls and opportunities in ecology

Reference 17

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This paper cites The Llama 3 Herd of Models.

Pre-trained Large Language Models Learn Hidden Markov Models In-context The Llama 3 Herd of Models

Reference 18

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This paper cites Large Language Models Are Zero-Shot Time Series Forecasters.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Large Language Models Are Zero-Shot Time Series Forecasters

Reference 19

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This paper cites Enough Coin Flips Can Make LLMs Act Bayesian.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Enough Coin Flips Can Make LLMs Act Bayesian

Reference 20

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This paper cites A spectral algorithm for learning hidden markov models.

Pre-trained Large Language Models Learn Hidden Markov Models In-context A spectral algorithm for learning hidden markov models

Reference 21

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This paper cites Do llms dream of elephants (when told not to)? latent concept association and associative memory in transformers.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Do llms dream of elephants (when told not to)? latent concept association and associative memory in transformers

Reference 22

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This paper cites Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers

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Pre-trained Large Language Models Learn Hidden Markov Models In-context Unresolved cited work

Reference 24

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This paper cites Scaling Laws for Neural Language Models.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Scaling Laws for Neural Language Models

Reference 25

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This paper cites Standardized and reproducible measurement of decision-making in mice.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Standardized and reproducible measurement of decision-making in mice

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This paper cites Markov chains and mixing times , volume 107.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Markov chains and mixing times , volume 107

Reference 27

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This paper cites Trans- formers as algorithms: Generalization and stability in in-context learning.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Trans- formers as algorithms: Generalization and stability in in-context learning

Reference 28

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This paper cites Observability and reconstructibility of hidden markov models: Implications for control and network congestion control.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Observability and reconstructibility of hidden markov models: Implications for control and network congestion control

Reference 29

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This paper cites LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law.

Pre-trained Large Language Models Learn Hidden Markov Models In-context LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law

Reference 30

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This paper cites Density estimation with LLMs: a geometric investigation of in-context learning trajectories.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Density estimation with LLMs: a geometric investigation of in-context learning trajectories

Reference 31

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This paper cites Bridging the Usability Gap: Theoretical and Methodological Advances for Spectral Learning of Hidden Markov Models.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Bridging the Usability Gap: Theoretical and Methodological Advances for Spectral Learning of Hidden Markov Models

Reference 32

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This paper cites How hidden are hidden processes? a primer on crypticity and entropy convergence.

Pre-trained Large Language Models Learn Hidden Markov Models In-context How hidden are hidden processes? a primer on crypticity and entropy convergence

Reference 33

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This paper cites Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains

Reference 34

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This paper cites Uncovering ecological state dynamics with hidden markov models.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Uncovering ecological state dynamics with hidden markov models

Reference 35

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This paper cites Bernstein inequality and moderate deviations under strong mixing conditions.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Bernstein inequality and moderate deviations under strong mixing conditions

Reference 36

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This paper cites Miller, Matthew M.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Miller, Matthew M

Reference 37

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This paper cites bioRxiv 2018, doi:10.1101/461129.

Pre-trained Large Language Models Learn Hidden Markov Models In-context bioRxiv 2018, doi:10.1101/461129

Reference 38

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This paper cites Optimal Regularization Can Mitigate Double Descent.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Optimal Regularization Can Mitigate Double Descent

Reference 39

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Pre-trained Large Language Models Learn Hidden Markov Models In-context 2 OLMo 2 Furious

Reference 40

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This paper cites A tutorial on hidden markov models and selected applications in speech recognition.

Pre-trained Large Language Models Learn Hidden Markov Models In-context A tutorial on hidden markov models and selected applications in speech recognition

Reference 41

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This paper cites Transformers on Markov Data: Constant Depth Suffices.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Transformers on Markov Data: Constant Depth Suffices

Reference 42

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This paper cites An analysis of tokenization: Trans- formers under markov data.

Pre-trained Large Language Models Learn Hidden Markov Models In-context An analysis of tokenization: Trans- formers under markov data

Reference 43

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This paper cites Spectral estimation of hidden Markov models.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Spectral estimation of hidden Markov models

Reference 44

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This paper cites Mice in a labyrinth show rapid learning, sudden insight, and efficient exploration.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Mice in a labyrinth show rapid learning, sudden insight, and efficient exploration

Reference 45

Resolution: verified exact; doi, observed 2026-05-19T10:37:14.664100Z

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This paper cites The mouse action recognition system (mars) software pipeline for automated analysis of social behaviors in mice.

Pre-trained Large Language Models Learn Hidden Markov Models In-context The mouse action recognition system (mars) software pipeline for automated analysis of social behaviors in mice

Reference 46

Resolution: verified exact; doi, observed 2026-05-19T10:37:14.675772Z

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This paper cites Improper learning for non-stochastic control.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Improper learning for non-stochastic control

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.561943Z

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This paper cites Task Programming: Learning Data Efficient Behavior Representations.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Task Programming: Learning Data Efficient Behavior Representations

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.091221Z

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This paper cites Fitzgerald, and Nelson Spruston.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Fitzgerald, and Nelson Spruston

Reference 49

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This paper cites Facemap: a framework for modeling neural activity based on orofacial tracking.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Facemap: a framework for modeling neural activity based on orofacial tracking

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.559638Z

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Observation dea95bd2-ae57-437e-b48e-5f1fa8e7e883 · outbound

This paper cites Are language models actually useful for time series forecasting? Advances in Neural Information Processing Systems, 37:60162–60191.

Pre-trained Large Language Models Learn Hidden Markov Models In-context Are language models actually useful for time series forecasting? Advances in Neural Information Processing Systems, 37:60162–60191

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.557751Z

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Pre-trained Large Language Models Learn Hidden Markov Models In-context Quinn, Benjamin A.E

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Pre-trained Large Language Models Learn Hidden Markov Models In-context Pierobon, I

Reference 53

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Pre-trained Large Language Models Learn Hidden Markov Models In-context Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning

Reference 54

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Pre-trained Large Language Models Learn Hidden Markov Models In-context Larger language models do in-context learning differently

Reference 55

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Pre-trained Large Language Models Learn Hidden Markov Models In-context Wills, Colin Lever, Francesca Cacucci, Neil Burgess, and John O’Keefe

Reference 56

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Pre-trained Large Language Models Learn Hidden Markov Models In-context Unresolved cited work

Reference 57

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Pre-trained Large Language Models Learn Hidden Markov Models In-context An explanation of in- context learning as implicit bayesian inference

Reference 58

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Pre-trained Large Language Models Learn Hidden Markov Models In-context Wainwright

Reference 59

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Pre-trained Large Language Models Learn Hidden Markov Models In-context convergence

Reference 60

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Pre-trained Large Language Models Learn Hidden Markov Models In-context Unresolved cited work

Reference 61

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Pre-trained Large Language Models Learn Hidden Markov Models In-context choice only

Reference 62

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Modeling Memory-Dependent Reliability of LLMs: A Hidden Markov Model cites this paper.

Modeling Memory-Dependent Reliability of LLMs: A Hidden Markov Model Pre-trained Large Language Models Learn Hidden Markov Models In-context

Reference 7

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