Paper Citation Record · LEDGER

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

As of 4 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T10:34:40.987583Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:06:15.265133Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

verified exact22
verified fuzzy30
unresolved5
parse uncertain0
malformed identifier1
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

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

Resolution: verified exact; local_arxiv, observed 2026-05-19T10:37:15.100256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8d0e9173-e742-4359-aafd-af7c9fd686fe · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.574600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 12f14cab-87d4-458a-b1a9-eaa25f4c7425 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.570577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ccc58701-fb3d-46bc-ab0e-d8832b3ac511 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.576500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4b90d618-7fc0-4c4a-986c-23f836b659f5 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.572457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 95c99f36-c9fb-4115-a9c6-453221965293 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.578749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6aa9b1d0-3869-4b0d-96ba-bee9916913d0 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.568419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 06f3e8ed-d5f6-4595-99f8-04bb5b618932 · outbound

This paper cites Moulines, E.

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

Reference 8

Resolution: metadata mismatch; doi, observed 2026-05-19T10:37:14.677880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 625df5c1-a240-4be3-a8ce-780ea57e8dbc · outbound

This paper cites an unresolved cited work.

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

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-19T10:37:15.541949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 643a80d1-756f-4857-b4da-4750882e966f · outbound

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

Resolution: verified exact; doi, observed 2026-05-19T10:37:14.671467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 60d47b07-61bf-485a-9a60-5569b285d4fe · outbound

This paper cites an unresolved cited work.

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

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-19T10:37:15.539926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5376db56-93aa-4e3b-b77e-d059474aacb3 · outbound

This paper cites Cover and Joy A.

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

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.538127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d56d9855-95c8-45f2-9653-c33e56d556ec · outbound

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T10:37:15.068537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4312e5f6-e1c6-45cb-8fe5-14a7609acb86 · outbound

This paper cites and Merhav, N.

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

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:14.667121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 61267399-c85d-4721-92ff-3ff8a44f29c3 · outbound

This paper cites Discrete stochastic processes.

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

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.536242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2b6d204f-0574-4262-9620-9fe9688d873f · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.534391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.532218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e497fef0-33d2-495c-aa6d-ab2bd418ab14 · outbound

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

Resolution: verified exact; local_arxiv, observed 2026-05-19T10:37:15.065001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 33852a1f-d77d-4896-92bf-e865796d665b · outbound

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

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.072366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5420a5ca-f6fe-4df9-924b-0ecbac76ac85 · outbound

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

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.062115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f9fdcc71-d61b-4bc2-8a92-bce2622d3566 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.530198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6540c31a-de3d-4f9b-92c9-03cf11740269 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.527494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 96249ae9-f5c8-40af-8a2c-4fa5f2d594ae · outbound

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 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.058611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 22e38ae6-98ad-4f35-808d-a23de2def116 · outbound

This paper cites an unresolved cited work.

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

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-05-19T10:37:15.525449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation adf0daf6-ffa8-4797-b06e-29c0a7b7b29e · outbound

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

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T10:37:15.081416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5c204a8f-b0a0-4fa1-83ac-8f2f72357ec8 · outbound

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

Reference 26

Resolution: verified exact; doi, observed 2026-05-19T10:37:14.662042Z

Source-reported events for the cited work

correction dated 2022-10-19. Source: crossref record 10.7554/elife.84310->10.7554/elife.63711:correction, observed 2026-07-11T03:05:40.43259+00:00. This notice travels one citation hop only.

Observation f6521316-c73c-4d79-aead-3b9cb8be5223 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.521354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2cde3c4a-319f-4fe9-9024-8ed3920009c0 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.519092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5fcf16a1-468f-4c14-974a-22a2cb0969dd · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.517069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 141c497c-ec6f-4839-9517-2789defe32bc · outbound

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

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.097352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 913f5694-d3a3-4466-a22c-feca79722d92 · outbound

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

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.078482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8c7fceb2-f64a-46ed-8e27-d141e5b63074 · outbound

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

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.075354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8cee9bb7-c979-41dd-8a09-4799aa346212 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.514824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8eb17972-7e6c-452b-af2d-c5a80bfb5149 · outbound

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

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.055412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fc21b5db-35bc-4ee4-9938-37ffc75be9d7 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.509237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 88ca7ec1-873a-4a54-8645-c627fefb38e8 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.506976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9f7c854e-f85e-4181-a58c-f1d575eb0cd7 · outbound

This paper cites Miller, Matthew M.

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

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.504845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 722ebadd-f1a7-485e-ac03-94569f8b2288 · outbound

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

Resolution: verified exact; doi, observed 2026-05-19T10:37:14.673763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b4979844-d73d-4a96-abf7-481c6f40a148 · outbound

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

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.052151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b16dd07f-3262-4d16-9f1e-b72846fb3547 · outbound

This paper cites 2 OLMo 2 Furious.

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

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-19T10:37:15.048937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b04b1eee-cdde-4a54-acde-d0dfff4602b9 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.523299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9fecf08d-16d4-41e8-9cb5-89e804bf80de · outbound

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

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.094419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f68c7738-ee18-4984-980d-2345e6ad5cff · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.566309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a27870e4-88a4-4154-9e4a-a6c33ca95567 · outbound

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.564069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 60976062-ba65-4976-beb4-cf27cd2434d1 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e58679ad-8775-4beb-bc9d-102122c2403d · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9bb20a08-1099-4940-84b5-652ee27d53d4 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 67511939-f343-4a7a-955d-628016a46d5c · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a2de66b8-71dc-4c64-8ab9-62f694818e0d · outbound

This paper cites Fitzgerald, and Nelson Spruston.

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

Reference 49

Resolution: verified exact; doi, observed 2026-05-19T10:37:14.659707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a34d592b-f2ea-4b34-a808-bc714e03bc4a · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6126820e-6d3a-422e-9174-25e586405e0e · outbound

This paper cites Quinn, Benjamin A.E.

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

Reference 52

Resolution: verified exact; doi, observed 2026-05-19T10:37:14.657722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8fb08175-3c48-468b-b7ba-aa63d6ced279 · outbound

This paper cites Pierobon, I.

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

Reference 53

Resolution: malformed identifier; doi_truncated, observed 2026-05-19T10:37:14.669387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 634222a3-d718-430b-aa62-dfa2fc904114 · outbound

This paper cites Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.

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

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.084636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f74c2a9e-cb36-4b0b-97a6-86a64319831e · outbound

This paper cites Larger language models do in-context learning differently.

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

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T10:37:15.088251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ec1401a4-ac2b-47c0-9e2e-3b2374b81f2f · outbound

This paper cites Wills, Colin Lever, Francesca Cacucci, Neil Burgess, and John O’Keefe.

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

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.555446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 99305cf9-106a-4ea5-b21d-9c05ff0c756e · outbound

This paper cites an unresolved cited work.

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

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-05-19T10:37:15.553534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bbce1f3e-74b1-474d-9936-2ddc432bf122 · outbound

This paper cites An explanation of in- context learning as implicit bayesian inference.

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

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.551555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 84a65ea7-1f95-451b-ac2d-5fd8ed299427 · outbound

This paper cites Wainwright.

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

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.549433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2dc892a9-a36b-47a6-ae85-3b8cb3639ed0 · outbound

This paper cites convergence.

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

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.547607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b223b7b3-0ee7-4765-b443-c6ef34ff9a93 · outbound

This paper cites an unresolved cited work.

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

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-05-19T10:37:15.545701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fdcfad2b-928e-4b8c-aa2a-b0e3b3290aac · outbound

This paper cites choice only.

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

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T10:37:15.543769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation bd249383-700c-4328-9e44-c6adad22e0ee · inbound

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

Resolution: unresolved; no resolver link, observed 2026-08-01T04:06:15.265133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.