Pith. sign in

Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 100 of 230 outbound references and 18 inbound Pith citation observations for arXiv:2502.09053.

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

pith.paper-citation-record.v1
2502.09053 v2

Coverage vector

measured 100 of 230 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:33.052496Z

measured 118 of 118 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:45:04.947171Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:37:09.358190Z

Reference resolution

100 of 230 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved96
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8c11245-fe04-4fac-b139-5d0a1c136e50 · outbound

This paper cites Theory of games and economic behavior: 60th anniversary commemorative edition.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Theory of games and economic behavior: 60th anniversary commemorative edition

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.350145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.350145Z digest=sha256:21fc06943837748a8abde8405f8f08cbbed52bca3acd94b68804cdbd67d2ce0e

Observation 05dca5e0-dfca-4f8c-ae80-c85cd056b7f7 · outbound

This paper cites Equilibrium points in n-person games.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Equilibrium points in n-person games

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.353822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.353822Z digest=sha256:4341cbd62c585198b63c926a11db5237e56ef984ae9eba19cf046d258ec51a7c

Observation ba3b1074-10d9-4168-8a2b-0a8b65be4caf · outbound

This paper cites Counterspeculation, auctions, and competitive sealed tenders.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Counterspeculation, auctions, and competitive sealed tenders

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.357401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.357401Z digest=sha256:1a33da866f44caef9a49229c5fb82604f952a75b4bc8d3e0b0e3600fe2ab0de4

Observation 3b44011b-fe38-4452-aa60-7ed0de632e11 · outbound

This paper cites Information design: A unified perspective.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Information design: A unified perspective

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.360728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.360728Z digest=sha256:d55b9614241af878c53c518eddc024d033a03460abef5d83811dd1a44f4b3c0b

Observation 4801125d-8b4a-4ccf-8912-8b73cc3483b6 · outbound

This paper cites Social choice theory.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Social choice theory

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.364490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.364490Z digest=sha256:0dbc10c970f8673b72d6d82687a7149d255f421cca019381ff56d7da88d899ac

Observation 1b50f113-d5b7-491b-a74f-0bced38b12c5 · outbound

This paper cites A survey of defensive deception: Approaches using game theory and machine learning.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers A survey of defensive deception: Approaches using game theory and machine learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.367919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.367919Z digest=sha256:9dd1ef5ec07f6d4a4ad3317753b44a09f8f9320cc4edf9e69b29aea114f4ca73

Observation f649069d-1221-4d37-a356-81997239a379 · outbound

This paper cites Applications of game theory in deep learning: a survey.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Applications of game theory in deep learning: a survey

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.371766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.371766Z digest=sha256:e3659684c26d36a846031af218bd37c26b0e831178c4169f734f3d42dd75b8bf

Observation 10697bb7-0702-4846-8d58-025b1c1fce5d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers LLaMA: Open and Efficient Foundation Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.375478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.375478Z digest=sha256:8aabbeeae7628b743b5c5cfe2ceeef1b20c319d75a363c3851d81c8350b52f95

Observation d1d9f1ef-c252-45f3-b776-45a36b3ae238 · outbound

This paper cites GPT-4 Technical Report.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers GPT-4 Technical Report

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.379092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.379092Z digest=sha256:f84854e91c39f9b3ece5a2c42d840e10d63987f3d8aaf417cb83d4659c503176

Observation a16de8b5-af14-4b6c-bc60-cf668264beb3 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Gemini: A Family of Highly Capable Multimodal Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.382164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.382164Z digest=sha256:d256006b60db1137525e5cf8fdb2bce4db48c4a38d8ae3a982e0fb0460030294

Observation 744a595e-efbd-46ec-b790-a6bffd779f4e · outbound

This paper cites DeepSeek-V3 Technical Report.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers DeepSeek-V3 Technical Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.385451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.385451Z digest=sha256:9ca4a427b8e8e6eae5144055bf8879ccb4ca50f9e6166909a4336a115c8e296b

Observation 7c797735-a3d7-4734-b02a-b3e9758b2e7e · outbound

This paper cites Playing repeated games with large language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Playing repeated games with large language models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.388557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.388557Z digest=sha256:8324b5bef61ea876e677fae0cc21f656bd0d824abdc40183178c0dcf7dc33163

Observation c6f69543-ccda-43c3-a9de-66784f98e8ae · outbound

This paper cites Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.391428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.391428Z digest=sha256:c3bb5dd41af7aade857fc0387361ba9e9d3f13850b6fd54a3db8957771692785

Observation 3accd078-7e39-4caa-a0a8-7bfc9d58306d · outbound

This paper cites Llms at the bargaining table.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Llms at the bargaining table

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.395333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.395333Z digest=sha256:2d9be85e777927c72f9ed05e1c35de8c6850505f8a6bd7653cb132554e9e32a2

Observation ef373673-c223-402a-8791-54870382cd9e · outbound

This paper cites Put your money where your mouth is: Evaluating strategic planning and execution of LLM agents in an auction arena.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Put your money where your mouth is: Evaluating strategic planning and execution of LLM agents in an auction arena

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.398534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.398534Z digest=sha256:b5b61197f0020ad8e4091434263f4b22f450f06191a800e631612b969aa78b49

Observation ea0cc5fb-7e14-463a-b571-55f7f5e7aa1a · outbound

This paper cites K-level reasoning: Establishing higher order beliefs in large language models for strategic reasoning.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers K-level reasoning: Establishing higher order beliefs in large language models for strategic reasoning

Reference 16

Resolution
verified exact
doi, observed 2026-08-07T22:50:33.598397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T22:50:32.401811Z digest=sha256:5e745d923b327456990cb80b764e11ab62b7f4b76998329022cf0e1074e40b96

Observation 5f9a5e21-3fe6-428c-8217-99f75b4a01bf · outbound

This paper cites PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas Hold'em via Large Language Model.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas Hold'em via Large Language Model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.405072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.405072Z digest=sha256:554068f89f4104b8c9cef634322ff76139092750664eb85c4c0bc77e9d4abf9d

Observation 838f9e34-1728-4b14-b17e-d75bf2299ff6 · outbound

This paper cites Improving language model negotiation with self-play and in-context learning from ai feedback,.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Improving language model negotiation with self-play and in-context learning from ai feedback,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.408991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.408991Z digest=sha256:eb7a217ad68156a30b17f115bdc98deee66bdc82bf864647382faf885ab2a771

Observation 8f7a630f-ae03-4d78-a051-b8518b86a754 · outbound

This paper cites Measuring bargaining abilities of LLMs: A benchmark and a buyer-enhancement method.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Measuring bargaining abilities of LLMs: A benchmark and a buyer-enhancement method

Reference 19

Resolution
malformed identifier
no resolver link, observed 2026-08-07T22:50:32.416342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.416342Z digest=sha256:469ed87a3474d5ae65e696186bf0c80e71bd399bd8ea1c25b9bbc2c780b8c09e

Observation a0d92c2a-64b8-4d56-b178-303764af370d · outbound

This paper cites Deciphering digital detectives: Understanding llm behaviors and capabilities in multi-agent mystery games.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Deciphering digital detectives: Understanding llm behaviors and capabilities in multi-agent mystery games

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.419666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.419666Z digest=sha256:a98c203c16a1e754ea16dfd4bbb42f1897123b2139de658b6ee40b9ed7ecb2f9

Observation dc27df35-981c-4ae9-9435-10f88609ce97 · outbound

This paper cites Textgenshap: Scalable post-hoc explanations in text generation with long documents.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Textgenshap: Scalable post-hoc explanations in text generation with long documents

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.422708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.422708Z digest=sha256:2a4e0c150769f84cbdccd8d9ec87cff5f4e82adcfe9788498ca2bc993c1414c2

Observation c06f6dbb-b656-40bc-a197-5f18d6a71a19 · outbound

This paper cites Procaccia, Itai Shapira, Yevgeniy Vorobeychik, and Junlin Wu.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Procaccia, Itai Shapira, Yevgeniy Vorobeychik, and Junlin Wu

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.439883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.439883Z digest=sha256:6a76524e4cd498647587f7b2e1d25a6f3bc6ca1caaebd6010740488e9074bbf8

Observation 34356174-8318-40f4-97a3-246770fae0c5 · outbound

This paper cites Nash learning from human feedback.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Nash learning from human feedback

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.470525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.470525Z digest=sha256:18ef1ba86692f73512a070f8fff134618369db0afff7a46020a74f31172c1089

Observation d82eec9f-5d56-430b-915c-20622ce649c5 · outbound

This paper cites Fine-tuning games: Bargaining and adaptation for general-purpose models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Fine-tuning games: Bargaining and adaptation for general-purpose models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.486561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.486561Z digest=sha256:46d755a975d7b459812a48666d87e615a966e096ea129d923422ca1f2d81c7c6

Observation 68f6ced0-047b-4f22-b170-4bfef3f0c313 · outbound

This paper cites Mechanism design for large language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Mechanism design for large language models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.505588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.505588Z digest=sha256:7f3867b498fa8e6b7fba44f27462ad8bad9ed2eac8e4ad2efb9e16c861c907b4

Observation 4a007b3e-2ee0-4a6f-ab44-c73dd010ade1 · outbound

This paper cites Human vs.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Human vs

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.526040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.526040Z digest=sha256:43ddf867d9bbd8306c5c1f8c27ece2afcfc60b9abc36cf88445f494acfdf8aa7

Observation 3e26c0ab-f85b-4eb7-9be3-2a5f54eb5e95 · outbound

This paper cites Braess’s paradox of generative ai.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Braess’s paradox of generative ai

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.544409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.544409Z digest=sha256:a8d34425cf18167f5cb5d2965ef5a596f0ff02b54d5e2913692ac77b2a7b48f3

Observation de92d01b-d73b-44c4-a735-de751488f9e5 · outbound

This paper cites LLM-Powered Preference Elicitation in Combinatorial Assignment.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers LLM-Powered Preference Elicitation in Combinatorial Assignment

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.567707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.567707Z digest=sha256:1b4f341a1b1cda30ed18ad7dfe06dcee3f8d9526970d3e05b081b87e31d9a278

Observation d46625aa-9b1b-45d8-8bb4-a4fa0ca68700 · outbound

This paper cites An Interpretable Automated Mechanism Design Framework with Large Language Models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers An Interpretable Automated Mechanism Design Framework with Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.585202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.585202Z digest=sha256:8f4c07a0f76efab9549cfa7e59fb294e7b09534ea2dd3523c788655436a6a0ae

Observation 22f447cc-954e-4502-a4b3-1bf94322b325 · outbound

This paper cites Generative social choice.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Generative social choice

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.602780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.602780Z digest=sha256:0c49465e9ef184f6ffad573df75b8f2ac6a97b1f785004b165917f91a0be7dc4

Observation e85b340b-aef7-46ae-a26f-19248d01e8b7 · outbound

This paper cites Eliciting informative text evaluations with large language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Eliciting informative text evaluations with large language models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.606392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.606392Z digest=sha256:e9230aad1aaaa5186973971f3944923396ea122189b08661bccef9e97e5428f8

Observation f1a575d4-38da-4120-ae17-5f205b103a9c · outbound

This paper cites LLM as a mastermind: A survey of strategic reasoning with large language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers LLM as a mastermind: A survey of strategic reasoning with large language models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.609778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.609778Z digest=sha256:c8bbda0582c5707669a63953ef99f9e61b08d09d5fef5abaefacf85b3c7add11

Observation f16e669b-04f2-4f9d-931b-86938a8ed02a · outbound

This paper cites A survey on large language model-based social agents in game-theoretic scenarios.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers A survey on large language model-based social agents in game-theoretic scenarios

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.613010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.613010Z digest=sha256:5be6478674cf0b628095dc92e7d6744ea6673e1b796d1dc8a73ac9867084e17c

Observation 990adcf0-3e24-413b-bdd7-0a42ed508851 · outbound

This paper cites A Survey on Large Language Model-Based Game Agents.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers A Survey on Large Language Model-Based Game Agents

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.616359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.616359Z digest=sha256:a2a49fd76fd5697a000975a707e3f2963a8794e54f8845db97773be56d7caea2

Observation efcaf088-6478-4ff8-b44e-15e7b259a541 · outbound

This paper cites GPT in Game Theory Experiments.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers GPT in Game Theory Experiments

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.620132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.620132Z digest=sha256:e8d75dc2b6a451c312a04b7ec236b824f5956bcfcbac243169bacc535414b8d6

Observation 59c3e352-b9a1-43f4-a9f8-984ecc6bf15c · outbound

This paper cites Large language models as simulated economic agents: What can we learn from homo silicus? Technical report, National Bureau of Economic Research, 2023.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Large language models as simulated economic agents: What can we learn from homo silicus? Technical report, National Bureau of Economic Research, 2023

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.623494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.623494Z digest=sha256:bbd88a789c8abd8a476f6af64e15cade24eb0d68300c8ee0bb09217eb7957e5f

Observation c1dc1114-017b-4a27-8f9d-2d9556153c7b · outbound

This paper cites Beyond nash equilibrium: Bounded rationality of llms and humans in strategic decision-making,.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Beyond nash equilibrium: Bounded rationality of llms and humans in strategic decision-making,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.627055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.627055Z digest=sha256:cdc4b5e439e98009fb198edddded3ca8ceb65efd4c0c14b300da212f4ce3c931

Observation 3b4c97ab-e1c7-447c-8eab-753383e109d7 · outbound

This paper cites Playing games with Large language models: Randomness and strategy.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Playing games with Large language models: Randomness and strategy

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.633903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.633903Z digest=sha256:f02b9e76bda901b4e39372c6ff0605572c7a977115adb03d8e74fe8fcf550848

Observation c53876c6-2602-4fc8-8f44-b7a9d58c12cf · outbound

This paper cites Helmsman of the masses? evaluate the opinion leadership of large language models in the werewolf game.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Helmsman of the masses? evaluate the opinion leadership of large language models in the werewolf game

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.636919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.636919Z digest=sha256:776427287840e2a9522f94224c04680fc5e5bf4173f3e82e29c90c4850f6b9d9

Observation a900ed2e-ed1a-4b71-89b8-5a32e253b7ab · outbound

This paper cites From text to tactic: Evaluating LLMs playing the game of avalon.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers From text to tactic: Evaluating LLMs playing the game of avalon

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.639457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.639457Z digest=sha256:51380a90c8ec96108afa2ae74cc819ccd0438845df5bd288f92a84935ed0f14f

Observation 8a4f0a4f-1311-41c6-9492-76297ead37d1 · outbound

This paper cites Let’s negotiate! a survey of negotiation dialogue systems.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Let’s negotiate! a survey of negotiation dialogue systems

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.642219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.642219Z digest=sha256:ee65c9f046e96c0a3b818e551abe3898eb0da032bf4b98cf6e652d09359bc881

Observation bd5451d8-3b76-40c0-8bb5-4fcccf417e98 · outbound

This paper cites Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.645039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.645039Z digest=sha256:38ae79aed3c6516b28c31fea9fc473c9ef96db0f63b3e177e5f54bca5075d645

Observation d84990bd-f5af-4253-9704-6f27677d6236 · outbound

This paper cites Cooperate or collapse: Emergence of sustainable cooperation in a society of LLM agents.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Cooperate or collapse: Emergence of sustainable cooperation in a society of LLM agents

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.648046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.648046Z digest=sha256:4b3c12faec3710e2a65b32ddac4d073225d53a1c93836572ba5c925ea4b8486e

Observation 96ff089e-187e-4d31-adc3-d0ca027bff63 · outbound

This paper cites Evaluating language model agency through negotiations.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Evaluating language model agency through negotiations

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.651211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.651211Z digest=sha256:d8c3ac7659cf851771c5dc9177d468405aca4f3a80da11459214a3cf73b7dcc6

Observation 0fcb4e85-0db0-457e-9c0f-1805fd5d5152 · outbound

This paper cites Algorithmic collusion by large language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Algorithmic collusion by large language models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.654666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.654666Z digest=sha256:ef12e27d780bbab98d576e328099b22e139482d773575406e8ee29d0089ae276

Observation c2c46193-b92e-487c-9820-55caf98a413e · outbound

This paper cites Economics arena for large language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Economics arena for large language models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.657965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.657965Z digest=sha256:4a84dbf30be7f18711f3599990e6d2afe0490b8d48fbfc10a29236eec3421e57

Observation b14dcc50-a606-49df-bb67-90c695d6b48a · outbound

This paper cites Generative ai as economic agents.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Generative ai as economic agents

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.661295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.661295Z digest=sha256:e7d249bcfbfbd3817892a0e722c64c2aa57043540d71bea7fc75fb2d2f04bfb5

Observation 1b538eff-1da0-4cef-bb97-b6debf88b112 · outbound

This paper cites ChessGPT: Bridging policy learning and language modeling.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers ChessGPT: Bridging policy learning and language modeling

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.664593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.664593Z digest=sha256:7188b7f9a3f8b2b508669c95e6768adb89ec886c8dbe6b7300ee79bb5660a4ce

Observation 236a6bd8-0794-46b3-a59a-b61736a3a387 · outbound

This paper cites Pokerbench: Training large language models to become professional poker players.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Pokerbench: Training large language models to become professional poker players

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.667768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.667768Z digest=sha256:1764f549a1f402ab6665b77d56abd4b291759f2b50fecd21644fccdce2ee496f

Observation d946cc2d-b2da-4568-9618-58acdc260fe8 · outbound

This paper cites PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.670870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.670870Z digest=sha256:dddff09b15479348bf496fa52b1dd6b35464c3b80ed9118e22d2e200be35cff5

Observation 703972ba-a64f-46a9-b424-ff20ae8aaffa · outbound

This paper cites LLMArena: Assessing capabilities of large language models in dynamic multi-agent environments.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers LLMArena: Assessing capabilities of large language models in dynamic multi-agent environments

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.674477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.674477Z digest=sha256:183a9a32fd7ec51dd16c6f87fe2821f163f6ad7c717847ae23ef3aeb461d8610

Observation b72fada4-b48d-4dc3-b14c-64d17002b267 · outbound

This paper cites Playing games with gpt: What can we learn about a large language model from canonical strategic games? Economics Bulletin, 44(1):25 – 37, 2024.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Playing games with gpt: What can we learn about a large language model from canonical strategic games? Economics Bulletin, 44(1):25 – 37, 2024

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.772140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.772140Z digest=sha256:a5171e055ccc52ad0346c47f427c8fb2fffbec5785acb6a61cd998daaf2142ed

Observation 64d9cd24-c82d-4c8d-bfda-6b1f1dc93d55 · outbound

This paper cites an unresolved cited work.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.775926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.775926Z digest=sha256:26536a785a84e5325f03baec4de25a1317bf8c4fb2ff7979ee60003d61bcf72a

Observation f0ec76d4-abf2-4691-9d28-30e453d3166c · outbound

This paper cites Will Systems of LLM Agents Cooperate: An Investigation into a Social Dilemma.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Will Systems of LLM Agents Cooperate: An Investigation into a Social Dilemma

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.781277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.781277Z digest=sha256:559b1209061ab424d640073b5326bce02d5c6bb31f8ad4dc53cf8e69c261de49

Observation 87b3742f-af6d-4040-aa6e-985d3033a5ee · outbound

This paper cites LLM economicus? mapping the behavioral biases of LLMs via utility theory.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers LLM economicus? mapping the behavioral biases of LLMs via utility theory

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.809717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.809717Z digest=sha256:d88dac167a33a97a74571498fa8eb4807437669686c107dbb0b92a91578f9004

Observation fb7f1113-71b1-4199-b8bf-38c9dcf9e420 · outbound

This paper cites an unresolved cited work.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.856924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.856924Z digest=sha256:065556ef1b1aa8a0ff1cbe223a74d3f7e753fd113fd8da3c3849f571738db28c

Observation 93e09b7f-76cd-4e52-b677-30b09cba7601 · outbound

This paper cites McNamara, and Deming Chen.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers McNamara, and Deming Chen

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.918739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.918739Z digest=sha256:e4f021823e852d9f7eb6e060788b628a0ec5f067d8b5e06418e65c38968402c6

Observation 70332987-02a2-42c2-8de3-bcec15bc4cf4 · outbound

This paper cites Smartplay : A benchmark for LLMs as intelligent agents.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Smartplay : A benchmark for LLMs as intelligent agents

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.926169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.926169Z digest=sha256:f01440ce62d81392c923bfe179fdf0d3814189554c2186a696f47468dc583b33

Observation 589ddee7-d167-438d-a791-477b33c820ba · outbound

This paper cites Large language models playing mixed strategy nash equilibrium games.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Large language models playing mixed strategy nash equilibrium games

Reference 59

Resolution
verified exact
doi, observed 2026-08-07T22:50:33.558407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T22:50:32.929223Z digest=sha256:4e1d761c5da9cbdef6b821f6ef013fa999aa29526000d82d0e8525df359e10c7

Observation b05e08c1-782f-4a27-ab8d-3466668ab2b0 · outbound

This paper cites Reta: Recursively thinking ahead to improve the strategic reasoning of large language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Reta: Recursively thinking ahead to improve the strategic reasoning of large language models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.932506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.932506Z digest=sha256:e70902931a4feebd8a27f02c1b6b6fd7cd0470bfa5d88a95013b42a10e493955

Observation 64ef173b-36ab-4179-8371-38fcce2e3fee · outbound

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

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Can large language models serve as rational players in game theory? a systematic analysis

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.935521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.935521Z digest=sha256:a5dfad3a6aeace3cf3789ab07196c6c09381c1f1c0e46c07c85afac43ea4e9f8

Observation 688dfbe9-47a3-4c62-8e2f-fd5cf014de18 · outbound

This paper cites Strategic behavior of large language models and the role of game structure versus contextual framing.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Strategic behavior of large language models and the role of game structure versus contextual framing

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.938491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.938491Z digest=sha256:ad95cc485b16de8b045082b9a1bd6d29b91755c11715704de0140f35445e03b0

Observation f9886d7d-dce4-43f3-8ca3-1aefd6a7f965 · outbound

This paper cites Strategic reasoning with language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Strategic reasoning with language models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.941628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.941628Z digest=sha256:fbbafdd5a83ef10af7d61f107f1e3e420a2dd7900abe60041ef9c378cc1b2e9f

Observation aa2872d5-3847-4e50-860b-9a29a98c4a00 · outbound

This paper cites Fairgame: a framework for ai agents bias recognition using game theory, 2025.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Fairgame: a framework for ai agents bias recognition using game theory, 2025

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.944096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.944096Z digest=sha256:bc771c8a73b1f6ece77bcc6fd40d2aaf9da73d99e0a437bfb44a00d68880c65e

Observation 4cabc82b-d5cd-442b-af80-18963c18f984 · outbound

This paper cites Werewolf game agent by generative AI incorporating logical information between players.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Werewolf game agent by generative AI incorporating logical information between players

Reference 65

Resolution
verified exact
doi, observed 2026-08-07T22:50:33.547923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T22:50:32.946654Z digest=sha256:df57e73f68033c326882568f0d6c117fcbc9bca26bef49f31e50a07c3ba861d2

Observation b354bf91-0a7a-4a52-beff-d7b843a97177 · outbound

This paper cites Werewolf Arena: A Case Study in LLM Evaluation via Social Deduction.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Werewolf Arena: A Case Study in LLM Evaluation via Social Deduction

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.949249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.949249Z digest=sha256:e7e221ee096e78ce59c3137771f1d6e824cc07c1a04aa6ba30df4726f37e4833

Observation 928960f4-04cb-48f1-ba9d-76711fe974be · outbound

This paper cites InterIntent: Investigating social intelligence of LLMs via intention understanding in an interactive game context.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers InterIntent: Investigating social intelligence of LLMs via intention understanding in an interactive game context

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.952040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.952040Z digest=sha256:db0c9b8f5690870c6f940c14419b974c56e955140e4198e44cc7d2c5ca660939

Observation 734618ea-4edd-403a-87c7-2d8aa7caafb9 · outbound

This paper cites LLM-coordination: Evaluating and analyzing multi-agent coordination abilities in large language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers LLM-coordination: Evaluating and analyzing multi-agent coordination abilities in large language models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.954877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.954877Z digest=sha256:7ddaae3a48c695650ecb0af4bb048948b52cd70a60a96dda69f3256ae49b9ed6

Observation 56c76bfc-1f1a-4318-874a-32fd51fbc0eb · outbound

This paper cites LLM-deliberation: Evaluating LLMs with interactive multi-agent negotiation game.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers LLM-deliberation: Evaluating LLMs with interactive multi-agent negotiation game

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.957527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.957527Z digest=sha256:259d8acd6277e5da9fe7aa2c22f9c112bb310b57bfc90564d50005d1a987b63b

Observation 436ad5c1-d7a0-493f-a7c4-04493e4a8b0a · outbound

This paper cites GameEval: Evaluating LLMs on Conversational Games.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers GameEval: Evaluating LLMs on Conversational Games

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.960122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.960122Z digest=sha256:58ee61e4181e4221b30b11424f1eaca78f4692dfdee472fa196554aaef36fbbf

Observation 2f758023-57cd-4953-be7e-f6e93ffb7a65 · outbound

This paper cites Reasoning, Memorization, and Fine-Tuning Language Models for Non-Cooperative Games.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Reasoning, Memorization, and Fine-Tuning Language Models for Non-Cooperative Games

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.962938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.962938Z digest=sha256:9825d03e29b0ceac95ef8f5335c4fc6414dce4603cfbc1fe13b0f493edb3d9b5

Observation 4143c18b-6518-4a07-ac13-dcc4074faaef · outbound

This paper cites Welfare diplomacy: Benchmarking language model cooperation.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Welfare diplomacy: Benchmarking language model cooperation

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.965837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.965837Z digest=sha256:885ce81cd2e80c653e6a9202fd7ca8f3897674b07d9bb90f2593426ff4823355

Observation 0386bcfa-9138-4ade-a1f1-71bd81232bf4 · outbound

This paper cites Richelieu: self-evolving llm-based agents for ai diplomacy.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Richelieu: self-evolving llm-based agents for ai diplomacy

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.968363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.968363Z digest=sha256:c8b43adb0697e2263f22026dc809b84ce13ef65db75e7c1a48830568f7a23465

Observation 84314ac3-a360-4d06-9624-bff2dc49ace2 · outbound

This paper cites Explaining decisions of agents in mixed-motive games.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Explaining decisions of agents in mixed-motive games

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.971178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.971178Z digest=sha256:dd9a209f45f9e737681dd242091b274f74c4bc1d1a671970c98fa0f9798fe700

Observation f716ce3b-7491-451c-b0f8-a378febb590f · outbound

This paper cites Simulating Human Strategic Behavior: Comparing Single and Multi-agent LLMs.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Simulating Human Strategic Behavior: Comparing Single and Multi-agent LLMs

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.973776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.973776Z digest=sha256:a077a82b94d8fd059ca50cf11575f7f0f887c9f7622a4710d9d80f658ef5e082

Observation c2750620-8468-4077-9ba3-cafb57d8575a · outbound

This paper cites MAgIC: Investigation of large language model powered multi-agent in cognition, adaptability, rationality and collaboration.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers MAgIC: Investigation of large language model powered multi-agent in cognition, adaptability, rationality and collaboration

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.976779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.976779Z digest=sha256:c2fc71b35b6dacfc9862d9f0afd9f50a84dc4087899c6daa144feec52445f8e7

Observation 83d5a628-02e2-4045-97ed-aa05244c1606 · outbound

This paper cites The Machine Psychology of Cooperation: Can GPT models operationalise prompts for altruism, cooperation, competitiveness and selfishness in economic games?.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers The Machine Psychology of Cooperation: Can GPT models operationalise prompts for altruism, cooperation, competitiveness and selfishness in economic games?

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.979450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.979450Z digest=sha256:909f9b4f1ffe92c33fad6cac7ab7d30ccf99a2c13bca7c8aef2916e4681e1d18

Observation 3bdc7149-6189-4639-81fa-19dc024f0040 · outbound

This paper cites Empowering LLMs in decision games through algorithmic data synthesis.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Empowering LLMs in decision games through algorithmic data synthesis

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.982314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.982314Z digest=sha256:b428bbca72f2bca47b23dfc7a2762314339384d6ec99bf1d28e1cab2fd027e15

Observation faa403da-6fb5-4132-9a97-c204e4632807 · outbound

This paper cites GTBench: Uncovering the strategic reasoning capabilities of LLMs via game-theoretic evaluations.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers GTBench: Uncovering the strategic reasoning capabilities of LLMs via game-theoretic evaluations

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.985075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.985075Z digest=sha256:648cd98809e20b764c9ab1cac881ffe33c97e19f604cb39ccf7dbe74797f7fd8

Observation 335344dc-bf32-4e6d-b4e3-f9c549e51a23 · outbound

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

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.988384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.988384Z digest=sha256:3572f8555db6f66ea61217b2e0806a9023e82086f8ea747159dcebcdfbc509c6

Observation 8b432409-17ec-43ce-a6c8-60c3d0bb1f29 · outbound

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

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Game-theoretic LLM: Agent Workflow for Negotiation Games

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.991999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.991999Z digest=sha256:b8601b7c6d3933455af1f848014934cc9d3cb6c194e7b3c9698f2fdeb7ad96d8

Observation dcfa133e-3d45-45ae-a553-635e64b4425c · outbound

This paper cites Evaluating Large Language Models with Grid-Based Game Competitions: An Extensible LLM Benchmark and Leaderboard.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Evaluating Large Language Models with Grid-Based Game Competitions: An Extensible LLM Benchmark and Leaderboard

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.995433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.995433Z digest=sha256:f1b503cb661ad8fbed7e7fcf60ac829fd354379111dd6b4b2f79b17b39ac03c0

Observation 7e2e3de5-9456-44e3-9240-a7da500405fb · outbound

This paper cites LLM-based agent society investigation: Collaboration and confrontation in avalon gameplay.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers LLM-based agent society investigation: Collaboration and confrontation in avalon gameplay

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:32.998993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:32.998993Z digest=sha256:5c7c161368677a9505f33e65a313b9b3a5ca1508558b9c35f80373326e559ec6

Observation fa7671e8-cb45-4dea-921b-05e99eadc9fe · outbound

This paper cites How well can LLMs negotiate? NegotiationArena platform and analysis.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers How well can LLMs negotiate? NegotiationArena platform and analysis

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.002701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.002701Z digest=sha256:6991c815e5ca1d681de7496b26374bf342ebb97288117b74f9d08d49c2c87915

Observation 76bb9b0e-4e16-44d7-9a1f-3663c4d53ced · outbound

This paper cites Glee: A unified framework and benchmark for language-based economic environments.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Glee: A unified framework and benchmark for language-based economic environments

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.006075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.006075Z digest=sha256:2a5a7f9670731964df68d49eaf9610fb5011dbf6c1e076d60b56628dad7113f6

Observation 342f68ea-40b2-4c8f-a3dc-6cdda85e4843 · outbound

This paper cites TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.009421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.009421Z digest=sha256:db4ac86f166ce6862f35609ddade218d374224d80d105747d211d8b4649dd68f

Observation 20b98717-62ec-434a-8532-1b95aad4f25f · outbound

This paper cites ALYMPICS: LLM agents meet game theory.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers ALYMPICS: LLM agents meet game theory

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.012561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.012561Z digest=sha256:e426f7871e63901623c87da6a5bbf5a3b6c7c732b0a56ec006cd458d1ba13625

Observation 6eff8939-1f26-465a-9aab-d505c04f2523 · outbound

This paper cites lmgame-Bench: How Good are LLMs at Playing Games?.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers lmgame-Bench: How Good are LLMs at Playing Games?

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.015304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.015304Z digest=sha256:5e53663f424cf07145f77f73f2b8857927b151a36172ffcd74a8fc7b99033848

Observation 1d94d4d3-04fa-422d-af8f-d1aba119689a · outbound

This paper cites Large language models are zero-shot reasoners.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Large language models are zero-shot reasoners

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.018249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.018249Z digest=sha256:02b41a663795833c9919d9130e728dc90c87b40b41ad188eb749e2fd47eb5d20

Observation 04d83e86-4e31-4836-99af-310649b64aa6 · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.021034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.021034Z digest=sha256:86f9cbfd6555101aa705aa3e42046d4830c6d16c6ceb0a481d2978895373d905

Observation ce3e0741-cf11-48be-a398-40bf73d0ec2c · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Tree of thoughts: Deliberate problem solving with large language models

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.027122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.027122Z digest=sha256:40661fab277fa81920d200f72712a16f9db049be90bee4ab4b84dd42db8ad4fb

Observation 117927ec-0308-4ae7-b8a1-d133aaa3ff95 · outbound

This paper cites Game of thoughts: Iterative reasoning in game-theoretic domains with large language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Game of thoughts: Iterative reasoning in game-theoretic domains with large language models

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.029818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.029818Z digest=sha256:2a9a901fb2829d04b68c3e7ac3a43f2df40bf2c7343ab8be7e1bd169946c01c0

Observation b59557dd-8505-4fa8-9ba7-243e811b578f · outbound

This paper cites an unresolved cited work.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Unresolved cited work

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.023788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.023788Z digest=sha256:c27a486804d020dfe39469016a8632445751e52d1e770ae35bc8d1f2721a3074

Observation 68012398-5a8f-4fd0-afb9-d45dd3f31886 · outbound

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

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Can Large Language Models Play Games? A Case Study of A Self-Play Approach

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.035279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.035279Z digest=sha256:e0b46b02aa412fa14606cf9a48db4615152417e91086d72193ec82bc8ebd2a3e

Observation 548cf35b-5861-4f1e-8002-93e11b4c48f7 · outbound

This paper cites Reward design with language models.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Reward design with language models

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.038166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.038166Z digest=sha256:08aa4b18bde70b96e114b931d135801e36cbc6e6d610604e29016ee8207ed497

Observation 51cd65cc-df5a-4f8e-9fbc-ab5b4c71fb90 · outbound

This paper cites Suspicion agent: Playing imperfect information games with theory of mind aware GPT-4.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Suspicion agent: Playing imperfect information games with theory of mind aware GPT-4

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.032623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.032623Z digest=sha256:ba3482510f4705c030ba22b261fd42c88c841a192fcda76f2a147855a6a73bf5

Observation 1347ce62-0007-45f3-b96d-e33aa477df37 · outbound

This paper cites An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.043828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.043828Z digest=sha256:7fe50b9684fbbe1f4044053ef363a3914600f9639d693776a0ad29c940f90cb1

Observation 16cda453-1e5b-4e0a-aa64-03b35fe2b149 · outbound

This paper cites An evolutionary model of personality traits related to cooperative behavior using a large language model.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers An evolutionary model of personality traits related to cooperative behavior using a large language model

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.046813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.046813Z digest=sha256:31da6145a24bf3f903d6da48eecad8a6ff961f8677b5ce0eeaa8ba7e4cf0eee4

Observation 3ec8e1b8-9878-43a4-ba59-dea60c502493 · outbound

This paper cites Agent-pro: Learning to evolve via policy-level reflection and optimization.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Agent-pro: Learning to evolve via policy-level reflection and optimization

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.040927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.040927Z digest=sha256:60764a78744a1a59d6d7bd90da9f46880a92844e848121a892e521ca2827c892

Observation 70bd3f64-2671-415b-aecf-eb15d50b1c16 · outbound

This paper cites Learning to discuss strategically: a case study on one night ultimate werewolf.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Learning to discuss strategically: a case study on one night ultimate werewolf

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:33.052496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:33.052496Z digest=sha256:f3296b578c646c78e72685c98a08298ba7f9fc6b313d51ef6e321b991bed0e43

Pith citing papers

Observation c39ad7b4-e393-4339-aaa8-4cb135e83d89 · inbound

The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete cites this paper.

The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:04.947171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:45:04.947171Z digest=sha256:6fa73f74b585a43308dabb44934f087be22b5fc95c7be34d8e3da2a677cbbcb3

Observation 9afceeff-96e3-4937-aa25-901a8575507d · inbound

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs cites this paper.

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:28.538769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:28.538769Z digest=sha256:c2f8edc055e397b92128c1831d1d0ddf159e7a98271f132b7b63d4c334988006

Observation 40691c42-96d4-4064-b748-14398244dee2 · inbound

CHBench: A Cognitive Hierarchy Benchmark for Evaluating Strategic Reasoning Capability of LLMs cites this paper.

CHBench: A Cognitive Hierarchy Benchmark for Evaluating Strategic Reasoning Capability of LLMs Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T19:48:56.972734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:48:56.972734Z digest=sha256:07e01026b23af6dd3f9268cb96ceb641047a9a8b544cb83fc59c68c3c5b6877e

Observation 6805be34-a280-488f-adaa-40dd00e1bb00 · inbound

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems cites this paper.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T16:40:30.403558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:40:30.403558Z digest=sha256:ee213f57b3d2115304b28064e303fa3a7a56e06fa7c3f98ff90a9b52437260fd

Observation 188685b5-4fca-4645-afc2-aa0ddad28b78 · inbound

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems cites this paper.

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:31:01.992242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T14:29:53.295960Z digest=sha256:98ba3a5773714ff1ac57c1f4d47fd443c5d0e189b298a3673838df94d5a6abc5

Observation aa7c3d27-23f0-432c-95a0-e11144638a00 · inbound

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems cites this paper.

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T10:33:43.143737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:33:43.143737Z digest=sha256:99872dbff64bf9e76964ec6dfa651d7431e3b4129b9b67ff90dbd643f145fa3a

Observation b39385fa-5a89-4efd-9833-ae1707ba1c4b · inbound

How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm cites this paper.

How memory can affect collective and cooperative behaviors in an LLM-Based Social Particle Swarm Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T16:22:27.240655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:22:27.240655Z digest=sha256:cea52834fd19fbb1e45bef153a5500b96b4219255624166df428aecf7a103ede

Observation 07dbfeec-ba80-453d-a357-7fce6b3e29e1 · inbound

Large language models converge on competitive rationality but diverge on cooperation across providers and generations cites this paper.

Large language models converge on competitive rationality but diverge on cooperation across providers and generations Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:43:18.839682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T21:43:10.372563Z digest=sha256:b7562b1c6ed3fd0722ebfc1d14cd457d907eccbcd1272fd857d3de9f0f06ec1f

Observation ad142d36-622d-40a5-b8ff-9f6c41fb94fb · inbound

Scale-Dependent Collective Adaptation in Self-Amending LLM Societies: A Cross-Family Study of Emergent Governance cites this paper.

Scale-Dependent Collective Adaptation in Self-Amending LLM Societies: A Cross-Family Study of Emergent Governance Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-19T22:32:49.765621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T22:29:17.058647Z digest=sha256:5f956a24f83158fa7699453bcdef6839a5ff82e5972ab03a680122cbc433acd9

Observation 797d69f8-2d3e-4151-bc3c-8bec01e4553f · inbound

LLM Agents Make Collective Belief Dynamics Programmable: Challenges and Research Directions cites this paper.

LLM Agents Make Collective Belief Dynamics Programmable: Challenges and Research Directions Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-20T04:38:04.574418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T04:37:01.368357Z digest=sha256:835d5fbe4455290222aa01dbc925804033884af9711231131b1e2d982518794d

Observation 5e027425-9616-4ff7-b2d6-8a615cac417a · inbound

MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs cites this paper.

MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:23:13.199308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T07:15:27.939886Z digest=sha256:0366b827fb184235e9d910dfafd5689f0abc611572e6f1bcdbae2b07c474f6b3

Observation 80668848-07ef-4385-a3b3-c423b5e5aeb9 · inbound

Evolutionary Dynamics of Cooperation in Next-Generation LLM Agent Systems: A Cross-Provider Empirical Extension cites this paper.

Evolutionary Dynamics of Cooperation in Next-Generation LLM Agent Systems: A Cross-Provider Empirical Extension Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:12:49.912854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T00:11:26.795028Z digest=sha256:2dd4005d7495184bb14f1a6e3fc8132de832cb1491c8558df6c55a08c1edacbf

Observation 61dcd222-e2a4-4bd1-af98-b0c5648faa59 · inbound

Byzantine Cheap Talk: Adversarial Resilience and Topology Effects in LLM Coordination Games cites this paper.

Byzantine Cheap Talk: Adversarial Resilience and Topology Effects in LLM Coordination Games Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:37:09.359510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T22:32:20.397340Z digest=sha256:ccd1d10be9203c486ccac61e505021cd298bbe815259bb489b31467b09d473f6

Observation 4f1fcb84-f3b4-4030-958a-9a02982e2c80 · inbound

Is Lying an Emergent Behaviour in LLMs? Evidence from Gaslighting AI agents in a Sustainability Game cites this paper.

Is Lying an Emergent Behaviour in LLMs? Evidence from Gaslighting AI agents in a Sustainability Game Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:25:47.488193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T01:36:29.538670Z digest=sha256:4420768fdec447cc5a20a6798aea64a7da03e5ec6dfc6c979a535e9a5ded0d9c

Observation d0412921-80b8-4ddd-9ed3-8cd3dc1ed904 · inbound

Strategy, Not Payoffs: A Behavioural Embedding of Normal-Form Games cites this paper.

Strategy, Not Payoffs: A Behavioural Embedding of Normal-Form Games Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T06:09:16.250925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:09:16.250925Z digest=sha256:73443045ee3a011fc7bcd141c73902bfac89a453a2eba35fcf6ceada07c13640

Observation 2f81e5a6-7f60-4e42-9c2e-5dbe1495b487 · inbound

Freemium Is All You Need cites this paper.

Freemium Is All You Need Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T00:20:07.398977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:20:07.398977Z digest=sha256:c61ade9ef4b5affb69e60866430a124d9792d54392fc4c38107d68153cc7adba

Observation d8fd93d0-5a17-44eb-93aa-5717b2ad8fd2 · inbound

Freemium Is All You Need cites this paper.

Freemium Is All You Need Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T04:24:45.809517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:24:45.809517Z digest=sha256:5af576575b03d3993f1311d0c6e35d71077ef898d1991e184e8302403f6cf673

Observation 27e72bc7-cb2a-4213-bf85-9a633626e3cb · inbound

The Politician, the Liar, and the Obedient Worker: Emerging Behavior of LLM Agents in Hierarchical Games cites this paper.

The Politician, the Liar, and the Obedient Worker: Emerging Behavior of LLM Agents in Hierarchical Games Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T14:51:53.905725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:51:53.905725Z digest=sha256:83cb918cdad8468b934efc4910c1088badba0efe620ba1c70f428d8666c18d5b