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Paper Citation Record · LEDGER

Verbalized Bayesian Persuasion

As of 10 August 2026, this Paper Citation Record lists 100 of 134 outbound references and 1 inbound Pith citation observation for arXiv:2502.01587.

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

pith.paper-citation-record.v1
2502.01587 v1

Coverage vector

measured 100 of 134 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:57:41.602699Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:33.426789Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T22:50:34.036780Z

Reference resolution

100 of 134 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved77
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3993814-3162-42aa-9be0-76b94fc9c7c3 · outbound

This paper cites write newline.

Verbalized Bayesian Persuasion write newline

Reference 1

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Unavailable: canonical work link unavailable.

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Observation aa6bbdf9-b784-44e5-b990-0dbbbb8262df · outbound

This paper cites S., Chien, J., D \' az, M., El-Sayed, S., Pittman, J., Mohamed, S., and McKee, K.

Verbalized Bayesian Persuasion S., Chien, J., D \' az, M., El-Sayed, S., Pittman, J., Mohamed, S., and McKee, K

Reference 2

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Observation 8cb41b46-ca2d-4eb3-9e48-41e726f9ef59 · outbound

This paper cites Learning to deceive in multi-agent hidden role games.

Verbalized Bayesian Persuasion Learning to deceive in multi-agent hidden role games

Reference 3

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Observation 6075763c-6458-4dcb-a95b-a23bfac507d8 · outbound

This paper cites Playing repeated games with Large Language Models.

Verbalized Bayesian Persuasion Playing repeated games with Large Language Models

Reference 4

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Observation f945a0d4-0ea8-40f4-bf9d-998cc775eb47 · outbound

This paper cites an unresolved cited work.

Verbalized Bayesian Persuasion Unresolved cited work

Reference 5

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Observation 1526b0e5-7a1e-40be-815e-fa5908a8a2db · outbound

This paper cites Persuasion is now 30 per cent of us gdp: Revisiting mccloskey and klamer after a quarter of a century.

Verbalized Bayesian Persuasion Persuasion is now 30 per cent of us gdp: Revisiting mccloskey and klamer after a quarter of a century

Reference 6

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Observation a4012653-80a9-4925-9631-293319891fec · outbound

This paper cites M., and Atia, M.

Verbalized Bayesian Persuasion M., and Atia, M

Reference 7

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Observation c6c96219-1f19-419e-829f-4cd4063f927b · outbound

This paper cites an unresolved cited work.

Verbalized Bayesian Persuasion Unresolved cited work

Reference 8

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Observation d39074a3-6686-4839-8f4b-42c4b4eb0710 · outbound

This paper cites E., Castiglioni, M., Gatti, N., and Marchesi, A.

Verbalized Bayesian Persuasion E., Castiglioni, M., Gatti, N., and Marchesi, A

Reference 9

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Observation c98e39f2-414b-470d-80f1-42b48accfe4a · outbound

This paper cites Efficient Model-agnostic Alignment via Bayesian Persuasion.

Verbalized Bayesian Persuasion Efficient Model-agnostic Alignment via Bayesian Persuasion

Reference 10

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Observation f4908f53-6529-46a6-b6d7-5ccc7e69b16c · outbound

This paper cites G., Eichstaedt, j.

Verbalized Bayesian Persuasion G., Eichstaedt, j

Reference 11

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Observation 392033b5-ae07-4f68-a4bc-b956d444d5d1 · outbound

This paper cites R., and Talgam-Cohen, I.

Verbalized Bayesian Persuasion R., and Talgam-Cohen, I

Reference 12

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Observation 291a63cf-9f2f-4a58-bcd7-2c08f0dc5868 · outbound

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Verbalized Bayesian Persuasion Unresolved cited work

Reference 13

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Observation 65835b1d-1bd2-4bac-83b0-ca962c038367 · outbound

This paper cites and Morris, S.

Verbalized Bayesian Persuasion and Morris, S

Reference 14

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Observation 61087b53-7a75-41d7-b400-e4b33b611e0e · outbound

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Verbalized Bayesian Persuasion and Morris, S

Reference 15

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Verbalized Bayesian Persuasion and Morris, S

Reference 16

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Observation d523075c-92e2-49b4-8d44-a1544e826544 · outbound

This paper cites Sequential information design: Learning to persuade in the dark.

Verbalized Bayesian Persuasion Sequential information design: Learning to persuade in the dark

Reference 17

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Observation 445bb85c-0ea8-45bb-a2b5-ebb8b3e5c80c · outbound

This paper cites Policy Space Response Oracles: A Survey.

Verbalized Bayesian Persuasion Policy Space Response Oracles: A Survey

Reference 18

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Observation 99cfc2be-e7be-4f47-92c3-99ef3b455c68 · outbound

This paper cites and Cotton, C.

Verbalized Bayesian Persuasion and Cotton, C

Reference 19

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Verbalized Bayesian Persuasion Unresolved cited work

Reference 20

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Observation 8341f406-222d-4903-b4e0-3a834f272116 · outbound

This paper cites superstition.

Verbalized Bayesian Persuasion superstition

Reference 21

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Observation 05c87d5b-f7d5-4ac6-a99f-1326aaa9a23c · outbound

This paper cites M., Egdal, D.

Verbalized Bayesian Persuasion M., Egdal, D

Reference 22

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Observation bb2afd33-808b-448a-b92d-4bb450d3d09f · outbound

This paper cites Artificial Influence: An Analysis Of AI-Driven Persuasion.

Verbalized Bayesian Persuasion Artificial Influence: An Analysis Of AI-Driven Persuasion

Reference 23

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Observation 0e16e85f-d134-492f-be88-8187973673fa · outbound

This paper cites Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments.

Verbalized Bayesian Persuasion Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments

Reference 24

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Verbalized Bayesian Persuasion Unresolved cited work

Reference 25

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Observation 45e1fccf-eaef-4cdd-9c4e-ac0068fc653e · outbound

This paper cites Multi-receiver online bayesian persuasion.

Verbalized Bayesian Persuasion Multi-receiver online bayesian persuasion

Reference 26

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Observation 81c41906-204e-4a64-a3af-fbe676b3227a · outbound

This paper cites Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective.

Verbalized Bayesian Persuasion Deception in Social Learning: A Multi-Agent Reinforcement Learning Perspective

Reference 27

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Observation 43733c9b-a915-4fda-b568-0af7715abc56 · outbound

This paper cites Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena.

Verbalized Bayesian Persuasion Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena

Reference 28

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Observation 196bb9ae-a11e-4346-8095-e069b99137ef · outbound

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Verbalized Bayesian Persuasion Unresolved cited work

Reference 29

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Observation 9158db1b-061e-46d4-bc7b-332b4194e1cf · outbound

This paper cites M., Gidel, G., Tracey, B., Tuyls, K., Omidshafiei, S., Balduzzi, D., and Jaderberg, M.

Verbalized Bayesian Persuasion M., Gidel, G., Tracey, B., Tuyls, K., Omidshafiei, S., Balduzzi, D., and Jaderberg, M

Reference 30

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Verbalized Bayesian Persuasion Open Problems in Cooperative AI

Reference 31

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Verbalized Bayesian Persuasion Reducing congestion through information design

Reference 32

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This paper cites GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.

Verbalized Bayesian Persuasion GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

Reference 33

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Verbalized Bayesian Persuasion Algorithmic information structure design: a survey

Reference 34

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Verbalized Bayesian Persuasion Measuring the persuasiveness of language models, 2024

Reference 35

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Verbalized Bayesian Persuasion and Martini, G

Reference 36

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Verbalized Bayesian Persuasion and Jehiel, P

Reference 37

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Verbalized Bayesian Persuasion Unresolved cited work

Reference 38

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Observation bf00ef86-4727-4b5e-b960-9a24c6c174bc · outbound

This paper cites Can large language models serve as rational players in game theory? a systematic analysis.

Verbalized Bayesian Persuasion Can large language models serve as rational players in game theory? a systematic analysis

Reference 39

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Observation 3a3f94bc-5118-426f-8d7b-aec682a485b6 · outbound

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Verbalized Bayesian Persuasion Evolutionary conditions for the emergence of communication in robots

Reference 40

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source=arxiv_source observed=2026-08-09T14:57:41.386388Z digest=sha256:9926582d1856984afa588f617c62884665ae68960e17ef58969cee2f01333274

Observation 572aa0c1-0be6-4bc5-ada8-19a9fee94607 · outbound

This paper cites A., De Freitas, N., and Whiteson, S.

Verbalized Bayesian Persuasion A., De Freitas, N., and Whiteson, S

Reference 41

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source=arxiv_source observed=2026-08-09T14:57:41.389388Z digest=sha256:2d5be53781d186cf800fdaf06bde2bbb5ad839b59e72ff87850071e3e3336ef1

Observation 85592160-1d0b-443c-b5bd-c42db73416a6 · outbound

This paper cites Bayesian persuasion in sequential decision-making.

Verbalized Bayesian Persuasion Bayesian persuasion in sequential decision-making

Reference 42

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source=arxiv_source observed=2026-08-09T14:57:41.393173Z digest=sha256:e6a47c54440ea6fea45d05b7f0f1b3105b9ae4d99defcce745dac86a8f20f904

Observation a940a9b7-91fc-4906-b185-d04333cc33d4 · outbound

This paper cites Strategic Reasoning with Language Models.

Verbalized Bayesian Persuasion Strategic Reasoning with Language Models

Reference 43

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source=arxiv_source observed=2026-08-09T14:57:41.396152Z digest=sha256:9f8768b3b19633787810fa1910603aeae041f08108714d270b55004e23256306

Observation 93926c77-4162-48be-996b-141ca0fb4818 · outbound

This paper cites Steering Language Models with Game-Theoretic Solvers.

Verbalized Bayesian Persuasion Steering Language Models with Game-Theoretic Solvers

Reference 44

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source=arxiv_source observed=2026-08-09T14:57:41.399399Z digest=sha256:3090d3c34696b93fd32234d305ded0db0baa35ba1a28dbcb4fec503a92e7feff

Observation d633e7d5-9651-4b59-89bc-59ac4ff088f6 · outbound

This paper cites and Cort \'e s, J.

Verbalized Bayesian Persuasion and Cort \'e s, J

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.403867Z digest=sha256:0f25dd315b46b7de908e1777a7cc1d2a2ed63df98376eea5502089aa11f04750

Observation b5b739ea-d917-4845-a8dd-19d755d83a32 · outbound

This paper cites Learning Complex Multi-Agent Policies in Presence of an Adversary.

Verbalized Bayesian Persuasion Learning Complex Multi-Agent Policies in Presence of an Adversary

Reference 46

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verified exact
local_arxiv, observed 2026-08-09T14:57:41.932986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.407138Z digest=sha256:66f13885206e77a14774735d33ac79d55052bd08c021e928653587ffe21f020a

Observation 0a8f3264-dc29-4b0a-86fa-e8b4ecf3cba7 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Verbalized Bayesian Persuasion DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 47

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no resolver link, observed 2026-08-09T14:57:41.410928Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T14:57:41.410928Z digest=sha256:4b32b242390743dc1f7d5da9f93d6d500cd7d42b86008a6cf251f3cbe8486012

Observation 54b2318b-84bf-4f62-bd0d-c37188bd883b · outbound

This paper cites Can Large Language Models Play Games? A Case Study of A Self-Play Approach.

Verbalized Bayesian Persuasion Can Large Language Models Play Games? A Case Study of A Self-Play Approach

Reference 48

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no resolver link, observed 2026-08-09T14:57:41.415225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.415225Z digest=sha256:710a2d489d611f63d5b951eb2eb3433625c25dfbc9b0cf7a4c7b2b69277fd266

Observation d5ef78d5-a7cf-4a3f-869d-5fb02d856667 · outbound

This paper cites Unpacking reward shaping: Understanding the benefits of reward engineering on sample complexity.

Verbalized Bayesian Persuasion Unpacking reward shaping: Understanding the benefits of reward engineering on sample complexity

Reference 49

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no resolver link, observed 2026-08-09T14:57:41.419075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.419075Z digest=sha256:e7e062184f3cfdfb06e910c44bd5b5e3c8825a0aed86d022ce265345406a51b3

Observation 61a22dce-5ae7-40f0-b531-383d524a88e1 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Verbalized Bayesian Persuasion Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 50

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no resolver link, observed 2026-08-09T14:57:41.423184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.423184Z digest=sha256:4940bcb2206f68aa47f271e4828df3260cb13e4ae121540d835c08799d07e2cf

Observation e688792e-163a-4672-8383-6e8b99f2351e · outbound

This paper cites Teams, signaling, and information theory.

Verbalized Bayesian Persuasion Teams, signaling, and information theory

Reference 51

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no resolver link, observed 2026-08-09T14:57:41.427441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.427441Z digest=sha256:b629ef61618f77be4f16926154bb62605a37b636769c9deb0984902876cdac81

Observation f941ded2-d6a9-4051-8e96-d66cb883d418 · outbound

This paper cites F., DiFranzo, D., Aghajari, Z., Mieczkowski, H., Levy, K., Naaman, M., Hancock, J., and Jung, M.

Verbalized Bayesian Persuasion F., DiFranzo, D., Aghajari, Z., Mieczkowski, H., Levy, K., Naaman, M., Hancock, J., and Jung, M

Reference 52

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no resolver link, observed 2026-08-09T14:57:41.430331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.430331Z digest=sha256:09bc96ba365922482f6f0e05c9f30e2f65000778bed4e75f2a0105978db6e9ee

Observation 38364d92-f554-445a-9b77-481acd839f2c · outbound

This paper cites C., and Xu, H.

Verbalized Bayesian Persuasion C., and Xu, H

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-09T14:57:41.433094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.433094Z digest=sha256:ae9b0ca36704bfcb71644c1f5e2af3f4ea2b05c193444b7dc9aeb2e6b7660038

Observation 4e8d2f52-256d-49e3-97e4-b05a71dc7c9d · outbound

This paper cites Game-theoretic LLM: Agent Workflow for Negotiation Games.

Verbalized Bayesian Persuasion Game-theoretic LLM: Agent Workflow for Negotiation Games

Reference 54

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no resolver link, observed 2026-08-09T14:57:41.435986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.435986Z digest=sha256:cae1ba7622a812109f96b08a1bcdfadfa4fe7e3d875c6d200bde181dcd3128ab

Observation bea622f8-3a8f-4718-9fda-20737b4677e7 · outbound

This paper cites pigovian tax.

Verbalized Bayesian Persuasion pigovian tax

Reference 55

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unresolved
no resolver link, observed 2026-08-09T14:57:41.438982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.438982Z digest=sha256:bc7a10f7cb836d78317850e267ba7c0ac3618e16a8245093e85e8c5bfcd23778

Observation 08bd8bce-aef6-462e-acf0-a5c38b79718f · outbound

This paper cites S., Hou, L., Wu, Y., Wang, X., Yu, H., and Han, J.

Verbalized Bayesian Persuasion S., Hou, L., Wu, Y., Wang, X., Yu, H., and Han, J

Reference 56

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unresolved
no resolver link, observed 2026-08-09T14:57:41.442339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.442339Z digest=sha256:ddbd0fd32eff1f36cc46caa90764d51ab1955217a01dc79a5edf9a66c5d871b0

Observation 541abcb4-4842-4e55-945e-117957e8faa3 · outbound

This paper cites How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments.

Verbalized Bayesian Persuasion How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 57

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no resolver link, observed 2026-08-09T14:57:41.445378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.445378Z digest=sha256:6bbc1c0a5f498c07d5c08609ae232833954cc8bac50dbf1be3db826a165b8c3f

Observation 26ce3a46-83fa-4513-a6fe-d1fea81e33a4 · outbound

This paper cites Z., Phillips, M., Tuyls, K., Due \ n ez-Guzman, E., Garc \' a Casta \ n eda, A., Dunning, I., Zhu, T., McKee, K., Koster, R., et al.

Verbalized Bayesian Persuasion Z., Phillips, M., Tuyls, K., Due \ n ez-Guzman, E., Garc \' a Casta \ n eda, A., Dunning, I., Zhu, T., McKee, K., Koster, R., et al

Reference 58

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no resolver link, observed 2026-08-09T14:57:41.448576Z

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source=arxiv_source observed=2026-08-09T14:57:41.448576Z digest=sha256:a9db322fd9402c4c9807d5b207dfa1bad996b8a2686416080fd8d10560102c90

Observation db307b5b-8192-481a-9ad9-f4af16bd339e · outbound

This paper cites P., Shen, Y., Farina, G., and Andreas, J.

Verbalized Bayesian Persuasion P., Shen, Y., Farina, G., and Andreas, J

Reference 59

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no resolver link, observed 2026-08-09T14:57:41.451675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.451675Z digest=sha256:52a28ea0c83ea7112640da29e48649a395f5b22fb67f07a632d8eab75660fcc4

Observation 3ed1e405-5aad-405f-8b1a-9d2a79266ae1 · outbound

This paper cites Z., and De Freitas, N.

Verbalized Bayesian Persuasion Z., and De Freitas, N

Reference 60

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no resolver link, observed 2026-08-09T14:57:41.454900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.454900Z digest=sha256:44159759367db8108af6b56588e81b3beea51335aa3c493fb3af5abac10ae7e4

Observation ab174317-75a2-4521-9c58-c797ef342117 · outbound

This paper cites A., Tessler, M.

Verbalized Bayesian Persuasion A., Tessler, M

Reference 61

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no resolver link, observed 2026-08-09T14:57:41.457624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.457624Z digest=sha256:5bfa1e2ab56f8ddae03ea958b7d6ee4cf3dd9fcf8e720ddcf831c7e39df052f1

Observation 79d009a5-801c-4d18-9afa-6cf738b801f5 · outbound

This paper cites Bayesian persuasion and information design.

Verbalized Bayesian Persuasion Bayesian persuasion and information design

Reference 62

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no resolver link, observed 2026-08-09T14:57:41.460294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.460294Z digest=sha256:73bad5fe13d39a3bfab1a0222dddbd2394593f8c8410e12196c8e075d9b05b13

Observation 8c1e67b8-d031-44dd-9a5f-61bb63deec2b · outbound

This paper cites and Gentzkow, M.

Verbalized Bayesian Persuasion and Gentzkow, M

Reference 63

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no resolver link, observed 2026-08-09T14:57:41.463603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.463603Z digest=sha256:ce359453a6d4bf738970f47d7b072d846fb4ddb9bf049b80efc0864acbc90796

Observation 3d250b6d-8d3a-4480-9ceb-eb12b0c21c04 · outbound

This paper cites X., Park, J.

Verbalized Bayesian Persuasion X., Park, J

Reference 64

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no resolver link, observed 2026-08-09T14:57:41.473118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.473118Z digest=sha256:7d0384dd7c1a4b656af9731fe54c8c5496d99bd1d223e9b14ca6e54e1e067ec2

Observation 7e21606b-ea81-4ebc-9dde-ba9033a77521 · outbound

This paper cites and Skreta, V.

Verbalized Bayesian Persuasion and Skreta, V

Reference 65

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no resolver link, observed 2026-08-09T14:57:41.484018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.484018Z digest=sha256:1af17a771a51728a9950ad42c1a96150e21903e4aab81dbcd15f5d35b0709434

Observation c6ee23bd-0f8f-45ef-9fec-651a29ef0c39 · outbound

This paper cites Long information design.

Verbalized Bayesian Persuasion Long information design

Reference 66

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no resolver link, observed 2026-08-09T14:57:41.494148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.494148Z digest=sha256:75a964d27f58bc075cc7b922e4bc5a7e8ce7f40d61eee95b513f600b75d38086

Observation cefb49b2-c0e4-4a97-aac6-8c4bc49217f4 · outbound

This paper cites Interactive information design.

Verbalized Bayesian Persuasion Interactive information design

Reference 67

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unresolved
no resolver link, observed 2026-08-09T14:57:41.503544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.503544Z digest=sha256:87c4a69e4501956a12df29fe855e77d2c5c5527b9c003e944dc8b1094282e220

Observation 1f8b706d-9549-4f97-927e-51f051ed1853 · outbound

This paper cites S., Reid, M., Matsuo, Y., and Iwasawa, Y.

Verbalized Bayesian Persuasion S., Reid, M., Matsuo, Y., and Iwasawa, Y

Reference 68

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no resolver link, observed 2026-08-09T14:57:41.506737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.506737Z digest=sha256:f75a5aca3ba8630c80c3ab437b51a82879310ca3f097be5a820ff120c3f37b78

Observation 7066ce40-1672-44c0-8937-67e3a7792180 · outbound

This paper cites Optimal information disclosure: A linear programming approach.

Verbalized Bayesian Persuasion Optimal information disclosure: A linear programming approach

Reference 69

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no resolver link, observed 2026-08-09T14:57:41.509213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.509213Z digest=sha256:4bb833bd112b76e219496fd4f95046ff90ab1c29842653d9186dcb1dbe012109

Observation 27dcfc2a-c922-4aba-8088-d39219f9eedc · outbound

This paper cites S., Gibson, A.

Verbalized Bayesian Persuasion S., Gibson, A

Reference 70

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no resolver link, observed 2026-08-09T14:57:41.512465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.512465Z digest=sha256:d88501c7cd1e625c815ec46078a39256900a390747190d0c03807a0e54230bcd

Observation de42076f-ba61-4357-b1ba-731c7a3d42a9 · outbound

This paper cites A unified game-theoretic approach to multiagent reinforcement learning.

Verbalized Bayesian Persuasion A unified game-theoretic approach to multiagent reinforcement learning

Reference 71

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no resolver link, observed 2026-08-09T14:57:41.515629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.515629Z digest=sha256:89117cf2719da263df349c889fe99fb0fa2de94b4f934a2a0f71cd47e4f875d0

Observation c85ef180-7324-4a78-a40d-a81fcb7a51b7 · outbound

This paper cites an unresolved cited work.

Verbalized Bayesian Persuasion Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:57:43.153573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.518419Z digest=sha256:3827be692496cfa695c7594e8bd16f1f3e45e0c8f454ca43ea208d702107fca1

Observation 1a9b0a20-2952-45b3-bdc1-1c2474e5c88f · outbound

This paper cites Z., Zambaldi, V., Lanctot, M., Marecki, J., and Graepel, T.

Verbalized Bayesian Persuasion Z., Zambaldi, V., Lanctot, M., Marecki, J., and Graepel, T

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:43.144599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.521831Z digest=sha256:93ca867b3e15cfbe31fd0c2a7e01db10b89b7233990c2266cdd91249ad5dc1e5

Observation ef0bf07b-c25e-4f7c-bbe0-376e692ab4f7 · outbound

This paper cites Z., Due \ n ez-Guzman, E.

Verbalized Bayesian Persuasion Z., Due \ n ez-Guzman, E

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:43.136023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.525292Z digest=sha256:25211f284a68dd49b5a3f5dad5a52c0747cc983b93639bf72b720c20fc9352e3

Observation 2b0d47be-7369-4431-b00a-4cdf395d9307 · outbound

This paper cites An effective maximum entropy exploration approach for deceptive game in reinforcement learning.

Verbalized Bayesian Persuasion An effective maximum entropy exploration approach for deceptive game in reinforcement learning

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:43.126807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.528537Z digest=sha256:b4dcad59dcddf259bdaaea7b0de36588c5e2cc4b5ecf6f42746e049b12d9176e

Observation 17b5eb40-22e4-4586-af96-ad51963f3b33 · outbound

This paper cites Information design in multi-agent reinforcement learning.

Verbalized Bayesian Persuasion Information design in multi-agent reinforcement learning

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:43.117456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.531354Z digest=sha256:4ee0cd7137bab21e0c3cbc411b7ae16f9ca59e52982bce5f84dbd4caf736cec0

Observation 50886be6-fb5f-4576-aea4-00b2c328f8c3 · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

Verbalized Bayesian Persuasion LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 77

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unresolved
no resolver link, observed 2026-08-09T14:57:41.533992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.533992Z digest=sha256:827af7df9d5d190343144abd8fc1542076445e5fd05283b1f3e1d99a30f36965

Observation 8e33c491-5372-4272-ab1c-b62e96dbf238 · outbound

This paper cites L., de Witt, C.

Verbalized Bayesian Persuasion L., de Witt, C

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:43.107194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.536962Z digest=sha256:b742869629aec77056e263dd23926d270d467ea63d58d517fb0011c069a42864

Observation 9da0e832-6503-445a-8c03-a3f005b1cdaa · outbound

This paper cites Strategic Behavior of Large Language Models: Game Structure vs. Contextual Framing.

Verbalized Bayesian Persuasion Strategic Behavior of Large Language Models: Game Structure vs. Contextual Framing

Reference 79

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no resolver link, observed 2026-08-09T14:57:41.539813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.539813Z digest=sha256:75927af0b5a085b1672b81e81682fa68fe058eb6eba8aafb3af21d2451b93f83

Observation 8f7e9f30-bf43-4938-af14-665eb55e669f · outbound

This paper cites and Heydari, B.

Verbalized Bayesian Persuasion and Heydari, B

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-09T14:57:43.055635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.543101Z digest=sha256:fcf4fa45dc7d17342f715666b0efb4874b5eb6e9c8939f55872c1276cb500113

Observation 3e21a0e2-b9c1-445a-b65f-2dd4ac2d53b1 · outbound

This paper cites and Precup, D.

Verbalized Bayesian Persuasion and Precup, D

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.982078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.546054Z digest=sha256:a9e56ac45ec584c8c38718ed23417a34879fdf959e0c082829fb1d3ac759525c

Observation 938e7e1f-d5ad-4ed4-9d25-f97837e1d721 · outbound

This paper cites Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games.

Verbalized Bayesian Persuasion Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-09T14:57:41.549182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.549182Z digest=sha256:1cb87bd9cc656de9546ba05545b2dc6fa97dc1ed4c66c144b4c072d0da4b5185

Observation a0bd0864-fc47-420f-afa5-512a5f4dc221 · outbound

This paper cites M., Lipovetzky, N., Ramirez, M., and Pearce, A.

Verbalized Bayesian Persuasion M., Lipovetzky, N., Ramirez, M., and Pearce, A

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.893453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.552095Z digest=sha256:8cbb445da4afcedab210f6668dcf2d65c1e356173b8a43566c7168c8c280b1e0

Observation 9130b14a-9065-42f9-8f7b-f7d4b9e43f2a · outbound

This paper cites Artificial intelligence can generate fraudulent but authentic-looking scientific medical articles: Pandora’s box has been opened.

Verbalized Bayesian Persuasion Artificial intelligence can generate fraudulent but authentic-looking scientific medical articles: Pandora’s box has been opened

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.816594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.555122Z digest=sha256:86e60fb29d06b143bb561c33fede042d48c85c1de1da2d0f03b587e34a503cae

Observation adbc41b6-02f8-4eb3-968f-777e0344ccef · outbound

This paper cites and Renou, L.

Verbalized Bayesian Persuasion and Renou, L

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.806406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.557632Z digest=sha256:112bdf07916a68f2eba7769aa1298861a51a823ae321986c7f58cc61dd9a642a

Observation 1f1ddaab-cc83-44b7-9e71-c98a969cee49 · outbound

This paper cites ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents.

Verbalized Bayesian Persuasion ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-09T14:57:41.560268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.560268Z digest=sha256:770ca49bcc12339811a563c9554cb30070a3c30dc988065f61e97f4e9963012b

Observation 4e4de3f0-1db0-4100-ba5e-11e12080da3f · outbound

This paper cites Bargaining games, pp.\ 622–658.

Verbalized Bayesian Persuasion Bargaining games, pp.\ 622–658

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.797262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.563698Z digest=sha256:d97188dc59f99a2c2999c4fbb10b3f63719869574b3353a90697cc5c099ba440

Observation 85cecb7b-f05d-4544-8eda-05977204879f · outbound

This paper cites and Sardina, S.

Verbalized Bayesian Persuasion and Sardina, S

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.788303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.567209Z digest=sha256:2c44cb894383203a9ac9bc4352faf3929ca8de9908115a67de85c7b41e263b10

Observation 4df71f15-d47c-43de-ade4-073c83e47407 · outbound

This paper cites S., Peters, H., Harari, G., and Cerf, M.

Verbalized Bayesian Persuasion S., Peters, H., Harari, G., and Cerf, M

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.778921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.569824Z digest=sha256:b96aef6133ef939837bcc3d26ef033d08bb70082151897b51f67024f1a369b99

Observation 8f94402c-cfd0-454b-9182-7c2394a883e9 · outbound

This paper cites and Klamer, A.

Verbalized Bayesian Persuasion and Klamer, A

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.768993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.573102Z digest=sha256:61352d9504be94f3df5905d994a8511220d5a629fb65de6cb15abeb6e65599c3

Observation 80c7c719-a50d-45b5-80be-e51c6edc6e14 · outbound

This paper cites R., Gemp, I., McWilliams, B., Du \`e \ n ez-Guzm \'a n, E.

Verbalized Bayesian Persuasion R., Gemp, I., McWilliams, B., Du \`e \ n ez-Guzm \'a n, E

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.759739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.576391Z digest=sha256:3924c71345a2a15c64bcbf9c737ab3b536c3ba9b3c3b586955204093089a498b

Observation dbe1a05f-74a3-40d5-93e2-c7182fece664 · outbound

This paper cites an unresolved cited work.

Verbalized Bayesian Persuasion Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:57:42.751012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.579072Z digest=sha256:133c0a7ac0f124a78129f07e2a54674f229d93e957d70e0664ce9e956b802be5

Observation 1c185a62-d256-44fe-9302-253eec6b1733 · outbound

This paper cites Two-person cooperative games.

Verbalized Bayesian Persuasion Two-person cooperative games

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.741671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.582213Z digest=sha256:ba3d4873832d93765ef26b805222fc117e30e18ec0c0bd15661da86fcbd98cf8

Observation 8ae730c6-a795-4522-86de-c38029567512 · outbound

This paper cites an unresolved cited work.

Verbalized Bayesian Persuasion Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:57:42.732074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.585350Z digest=sha256:56e0e6e1dcd8b04c25f54ef20d0f4fb5b2c09baed353245c429c877ff70c7780

Observation 5329332c-ba0f-4518-ac56-c064af3e9898 · outbound

This paper cites K., Eck, D., Levine, S., and Jaques, N.

Verbalized Bayesian Persuasion K., Eck, D., Levine, S., and Jaques, N

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.721031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.587982Z digest=sha256:e32317c2bdfef926fd9944216fad0da45de10d6554197df04b44a9058447138a

Observation e1fb0ad2-8592-412c-93e3-03ea62e6a412 · outbound

This paper cites Y., Harada, D., and Russell, S.

Verbalized Bayesian Persuasion Y., Harada, D., and Russell, S

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.695998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.590503Z digest=sha256:fc2bf8b37c1f2a90a2d7a1f667c8c1b7abe0d29c2188f4c22ac65595580772ec

Observation 76031740-2795-47a2-8838-4aac5c2b12f4 · outbound

This paper cites Learning to reason with llms.

Verbalized Bayesian Persuasion Learning to reason with llms

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.591535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.593665Z digest=sha256:89dcd5390eba1745e8504fdd4263a5bc49996d9224344a6c03aece1338b998b2

Observation 4665b94b-af7a-46e5-b821-5031ffb55467 · outbound

This paper cites A., and Botvinick, M.

Verbalized Bayesian Persuasion A., and Botvinick, M

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.511395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.596678Z digest=sha256:be856eb03addaae2ba7c85a918771841683858804223ae03efefc4795e457371

Observation 58346e6f-2599-4032-8e0e-abcef63408b0 · outbound

This paper cites Persuasion Games using Large Language Models.

Verbalized Bayesian Persuasion Persuasion Games using Large Language Models

Reference 99

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T14:57:41.841989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.599355Z digest=sha256:aec59384daad500c223884ca56a239b76a2b7263605c6768fcaaead51e131b7c

Observation 873d8282-5c7c-4909-8a06-de19df3e516e · outbound

This paper cites and Segal, I.

Verbalized Bayesian Persuasion and Segal, I

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:57:42.446631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T14:57:41.602699Z digest=sha256:41b3da9558ff476c580679e2babc2a48473106c3993eca4e813de47e15cdf4db

Pith citing papers

Observation 233664f0-564b-4313-bf82-6dd38099df68 · inbound

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Verbalized Bayesian Persuasion

Reference 222

Resolution
verified exact
local_arxiv, observed 2026-08-07T22:50:34.042478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T22:50:33.426789Z digest=sha256:f41b78102e9b378fbfe4a5fcf2a5dcc404e9ab08d8ca211786dc9fb9eeb12431