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Paper Citation Record · LEDGER

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2511.02469.

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

pith.paper-citation-record.v1
2511.02469 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

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measured 36 of 36 standing notices

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

36 of 36 outbound references displayed

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Outbound references

Observation 708fdaf2-f95b-4712-9e63-1dd18c4e14d8 · outbound

This paper cites Journal of conflict resolution41(2), 203–226 (1997).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Journal of conflict resolution41(2), 203–226 (1997)

Reference 1

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Observation f70ed1e6-8c9f-4142-a466-fba157f489a0 · outbound

This paper cites Financial Stability Review (Autumn) (2024).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Financial Stability Review (Autumn) (2024)

Reference 2

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Observation 85f100e7-9586-4fc7-aff6-a52f1da376bd · outbound

This paper cites International Monetary Fund (2024).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification International Monetary Fund (2024)

Reference 3

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Observation cb740a00-0d98-43ea-9166-5e275bb06618 · outbound

This paper cites Journal of monetary economics71, 119–132 (2015).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Journal of monetary economics71, 119–132 (2015)

Reference 4

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Observation 63e54d31-ecdf-430c-810b-df5c0fb68ff2 · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2024).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification In: The Twelfth International Conference on Learning Representations (2024)

Reference 5

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Observation 942a3089-326b-4a12-8ed7-eac84d055fbb · outbound

This paper cites Journal of Macroeco- nomics67, 103279 (2021).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Journal of Macroeco- nomics67, 103279 (2021)

Reference 6

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Observation a9544a10-b44b-4ed4-9366-205aa7a7cd3b · outbound

This paper cites In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics.

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics

Reference 7

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Observation 91ed7c7c-a7a1-4677-800a-a59fc042a33e · outbound

This paper cites In: Forty-first International Conference on Machine Learning (2023).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification In: Forty-first International Conference on Machine Learning (2023)

Reference 8

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Observation 29b3b8cc-8369-4c37-9a16-561f0d74918a · outbound

This paper cites Advances in Neural Information Processing Systems37, 28938–28964 (2024).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Advances in Neural Information Processing Systems37, 28938–28964 (2024)

Reference 9

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Observation 0dcbec33-0910-426c-82ad-c04e36691283 · outbound

This paper cites Applied Economics Letters pp.

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Applied Economics Letters pp

Reference 10

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Observation 6b9be97a-510e-46a2-9102-e6e7f0598af3 · outbound

This paper cites In: 2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification In: 2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)

Reference 11

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Observation 519b132e-c2fb-4c85-9580-d074101cb000 · outbound

This paper cites Econometrics9(4), 36 (2021).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Econometrics9(4), 36 (2021)

Reference 12

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Observation da2ec234-131e-4a10-9460-59d9b3317199 · outbound

This paper cites Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse.

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse

Reference 13

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Observation 9902b52a-0a49-4940-afe6-9dd66e3923b6 · outbound

This paper cites The Quarterly Journal of Economics 133(2), 801–870 (2018).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification The Quarterly Journal of Economics 133(2), 801–870 (2018)

Reference 14

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Observation f547d432-4f83-4215-8769-ede848effcd7 · outbound

This paper cites Research Bulletin50(2018).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Research Bulletin50(2018)

Reference 15

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Observation f506a6c3-a1a8-4c8d-b96a-43cd004b9aef · outbound

This paper cites Journal of monetary Economics48(2), 339–372 (2001).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Journal of monetary Economics48(2), 339–372 (2001)

Reference 16

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Observation e975cfa3-6db8-46da-b78a-f0efe7dab35a · outbound

This paper cites (eds.): Language Models are Few-Shot Learners, vol.

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification (eds.): Language Models are Few-Shot Learners, vol

Reference 17

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Observation a977e64c-4e5a-43ad-96a4-da98591a61d9 · outbound

This paper cites In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Reference 18

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Observation 54f34544-45d8-4178-974e-f1d6b934c1c5 · outbound

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Unresolved cited work

Reference 19

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Observation 3fbb2fda-2f14-40ad-b002-f578b27ca134 · outbound

This paper cites Nature397(6719), 498–500 (1999).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Nature397(6719), 498–500 (1999)

Reference 20

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Observation bdbfde3e-c583-4858-858f-6e9c97967ee5 · outbound

This paper cites Finance Research Letters49, 103130 (2022).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Finance Research Letters49, 103130 (2022)

Reference 21

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This paper cites The Quarterly Journal of Economics133(3), 1283–1330 (2018).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification The Quarterly Journal of Economics133(3), 1283–1330 (2018)

Reference 22

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Observation 179dbf48-86d5-44aa-86c5-ece2094161cf · outbound

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Unresolved cited work

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This paper cites GPT-4 Technical Report.

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification GPT-4 Technical Report

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification In: Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Unresolved cited work

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Unresolved cited work

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Unresolved cited work

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification American economic review90(3), 429–457 (2000)

Reference 29

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Financial Management 48(4), 1069–1094 (2019)

Reference 30

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification The American Economic Review59(2), 488–493 (1969)

Reference 31

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification MIT press (2013)

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Proceedings of The 37th Annual Conference of the Japanese Society for Artificial Intelligence pp

Reference 33

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification Unresolved cited work

Reference 34

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Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification In: Advances in Neural Information Processing Systems

Reference 35

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This paper cites arXiv (2024).

Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification arXiv (2024)

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:13:29.878960Z digest=sha256:1fcae851a3eb23bc7371dd482411d7ee9c5923c8ddf44b461e5bccd33811a146

Pith citing papers

No inbound Pith citation observations are available.