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Paper Citation Record · LEDGER

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis

As of 14 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2412.03359.

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

pith.paper-citation-record.v1
2412.03359 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:33:53.283740Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53ecd6df-ca30-4204-86b3-6ed2bacc53b1 · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.728368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.140094Z digest=sha256:d8bd15c090477006953d14cd66bd5f315f5d1ba9157c5300742ba94ad4083ffe

Observation a5696885-46a7-4f05-9509-ce878b724656 · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.715753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.144928Z digest=sha256:4eddbc272cbfff3dee0d00404e3734d4d7e98ca494fd0b3db6295bb4d81e1655

Observation e4d45779-4961-44bf-b741-a692b240a9e1 · outbound

This paper cites S-Agents: Self-organizing Agents in Open-ended Environments.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis S-Agents: Self-organizing Agents in Open-ended Environments

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.149238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.149238Z digest=sha256:678d20582374e2fffc08a0a17887719921dd4a090e9104875054985a8e876119

Observation e85adb4f-629f-4b3e-8220-2b050ac314b3 · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.700888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.154203Z digest=sha256:e3d07d0c46b05c4c58c66d10c0e83d0f96cc5767705133f14b6e0ee52e642df6

Observation fb85bede-54aa-4d7c-bdb6-e28582f53e1c · outbound

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

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.158067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.158067Z digest=sha256:d1035b7e41a017b92bb06edb8c77bb9afc3a4680dd95958a3bb1365b69c98c7d

Observation 1c630f28-9fdc-4e66-9de5-ce7ac0fb36f1 · outbound

This paper cites Self-collaboration Code Generation via ChatGPT.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Self-collaboration Code Generation via ChatGPT

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.163670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.163670Z digest=sha256:a64ae70b9b9307c5212885e3621b6bcaae618da17a96b5645bb3478ac5b2d9b8

Observation 083ff040-3651-4790-be21-8faea713d675 · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.686571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.167820Z digest=sha256:cba75e1e9538b22d35434a2a581fe0f3ac645a4d7f632299d309c1e658114166

Observation 0d0244ee-377e-4414-95fe-3edaf0646819 · outbound

This paper cites Chawla, Olaf Wiest, and Xiangliang Zhang.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Chawla, Olaf Wiest, and Xiangliang Zhang

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:33:53.671354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.171453Z digest=sha256:5ff1357bd4b21e340f81bd6ab2cc21a538d1a15c7b2e78fcabb45f6ac75d52f1

Observation 763380a7-9aac-4d75-9fc7-390489691364 · outbound

This paper cites Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.175526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.175526Z digest=sha256:d969af139d879417f31709f957318f9f9b7df87555ec2cea3e5ed8d54b894253

Observation a3d0de4b-99b1-4dad-9566-f79743db168a · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.658133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.180167Z digest=sha256:483745885de8fafb9f05b215cd721b0fac1a947ae9b655c53fe794a53f8869db

Observation 333fe522-f747-4acb-afc2-ccabbb65ad62 · outbound

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

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas Hold'em via Large Language Model

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.183976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.183976Z digest=sha256:9beb12db6e511f48e2a3f964de46980d347d3d12c2ad9b1becd5a1fb994a3bd2

Observation 34d3bde9-824b-448a-90d1-34d4861f078c · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.644686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.189384Z digest=sha256:6877c0146836f709c1e254165dbc3be367b7c52582beb4e2d0777be354a12d2f

Observation a9a8c0ed-96dc-416a-9180-03a9cd7c1644 · outbound

This paper cites Lyfe Agents: Generative agents for low-cost real-time social interactions.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Lyfe Agents: Generative agents for low-cost real-time social interactions

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.194087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.194087Z digest=sha256:52ed3d587997a7f86f033254ee5d32a739b2e24868290dc93e7185f3504f681e

Observation cfc1bd0b-05b1-4379-a74d-64490d62fed0 · outbound

This paper cites STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.199298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.199298Z digest=sha256:8c88c0f1e9a3c6a4d7ff460b33684be316d89e5e8060df963f7a69a239cffa63

Observation 01f7fbdf-e53b-4629-903d-8d45688f67ad · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.631840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.204311Z digest=sha256:2227be50cd53f52ac8ccd9d3d2c512ed18024122d0b792d56d76f064e2c7b260

Observation c99dda32-917a-434e-a19c-2d6c0ec87692 · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.617975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.208964Z digest=sha256:b8c62c8caaf488e7fab2d259902e15f0a55c7be766136e317c63b7161e96a994

Observation 0854e696-0990-4edb-b773-59418c1edaf1 · outbound

This paper cites O'Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis O'Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:33:53.601258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.213640Z digest=sha256:0da238dcfde770ec785eafb65533a58dcdeaa01007611596d72485df60c72007

Observation a579f173-f066-4516-baa4-4aae942bf3e2 · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.585337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.217892Z digest=sha256:91a5a321df4504ad42b13355c61361cb7989caa0c088d66909afebc6b8ae5a8e

Observation 77ca9930-4912-48cf-abcc-f7b63e1dcdfa · outbound

This paper cites GameEval: Evaluating LLMs on Conversational Games.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis GameEval: Evaluating LLMs on Conversational Games

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.221467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.221467Z digest=sha256:54c9acfa720754b91d4bd3f5a8fb7298fe43bf0bef732b6d17b591f1419c38ac

Observation 0c475efc-66d0-4e43-9600-c798df21c486 · outbound

This paper cites Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.230296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.230296Z digest=sha256:8d16e7946c448841d70a22dcfbe31609691ca158dae6be990305fc8f0b210fc3

Observation 524737c9-2869-4275-8dfe-a6be2fa13afb · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.570839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.234799Z digest=sha256:3328b789776e62fefd6fc089a6a1778dd56c26c2fff3e995b812b0b095d37ff2

Observation 86ca0488-610a-4c62-8ba2-ae17226b7301 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.238411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.238411Z digest=sha256:ac37f4a23af8cb9c06cdebfdd5c05b9149074752b61dc8c57d10fa24035e9db8

Observation bcedad22-0eb8-45ae-9209-a65bc962a928 · outbound

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

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.242962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.242962Z digest=sha256:83a31fb6a2c9a18f1e0f81f7f3b1552b0c9ce080b25c53eecacb5d859f3794ad

Observation 551d2006-5d50-4519-9c6d-ad9a01728bb0 · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.558621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.246916Z digest=sha256:134d41a09eafbc3c3e979295d6ac69fe1179f0497c537716588be147779ae171

Observation 35c7445e-d855-4984-94bf-e9b6e8129581 · outbound

This paper cites JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.250733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.250733Z digest=sha256:fb27c995170635d299729a6918623ade4beea2e31b3dc9df94dbf488cfd2150e

Observation c6f3c7fe-a7c2-449b-b6d3-205d1e35a2f2 · outbound

This paper cites Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.258430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.258430Z digest=sha256:0daf7fef7a56d543149df4212d8ae98ce032b8c8f1c1a45300c429d934d82259

Observation 49f976da-e609-4036-8745-df6c4d84f8f2 · outbound

This paper cites Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.262459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.262459Z digest=sha256:cec0cc1d890c27c2a43261e0e34ad8723de5533e6eaa197225294573416f1c09

Observation 5df00d9a-63e0-41b2-bc71-d2e91a6c5f04 · outbound

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

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.266647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.266647Z digest=sha256:69dcedabe6a3685710ee62f50c61ca4e89510284581dfbb1626ced5489a711ca

Observation fd27813e-879f-463c-a1b6-54f01e0afbe3 · outbound

This paper cites an unresolved cited work.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:33:53.545554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.270435Z digest=sha256:a38f4e513493b8f1beffafbf17d8134ac913327ad8e3cc32c7660dfd2e56d519

Observation 0d87baeb-c4d7-4244-8a3d-2f9175a52d0b · outbound

This paper cites A Survey of Large Language Models.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis A Survey of Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.274946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.274946Z digest=sha256:00eaa29cc3285d04ca29adb038b1f5e9a3e27f5cfa2e80b596fa20f70a81f9f4

Observation e39a9215-920f-4a70-8d07-30c472ed1a6c · outbound

This paper cites URL: " 'urlintro :=.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis URL: " 'urlintro :=

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.279211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.279211Z digest=sha256:8e53133606989e6d79f323805bebafba98470c5a88e92c0724994dcb2ce3f734

Observation 68e54153-2450-4dca-8bf4-528386524f08 · outbound

This paper cites write newline.

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis write newline

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T22:33:53.283740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:33:53.283740Z digest=sha256:6304f5f14f0ac50499113f9c2076ff025924898d360d26d48bb2e53b66761b33

Pith citing papers

No inbound Pith citation observations are available.