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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.140094Z digest=sha256:abd1c406d55126daf5e98ed56c0f190e79c6b8929ac08171523b7b2f9b02e5f7

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.144928Z digest=sha256:17db270ae468b9c975da5ce2d3cbd52ff8524ed84857b743d37c926ecbdb700c

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=sha256:7424dc62e9cecf84ddb1c30820db691ddd72d46f2e028f0de278f022ffb6d2e9

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.154203Z digest=sha256:f6a9ed94f149653c65fc1e8c126a0cb25c34e6812ce02482a719c50e8f393d94

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=sha256:11fc5b40916b6a59209a8fae467185e9fec4363ef4703d6941e7377ab3d765ca

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:ea11c38c8ad408bb3260e3b557d9cb28a7e29e37fc0cde359661673432c379d4

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.167820Z digest=sha256:457b72563b1ddab529b300226646170c8b1d783652bdeafd33d6d6024cceec5c

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.171453Z digest=sha256:76ccb0ac30ce168785a04b8d711938399f12c6a40d1a50424cae0a5cb94b08d9

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=sha256:08e055c4a8fb883af54c52c6af9e2a36b29559baa15e1d9d9d6bcc38b8ce7777

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.180167Z digest=sha256:afe4c51543cb1a55c029cc18636cb7d329882bf55b9045a914929b7461785ce7

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=sha256:85c393ad9f14e3ba6e3fa8dd41a3c95e629980d85a8b9be34c2eca2520733d16

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.189384Z digest=sha256:3c7faacdb6dd233df9a3325542af7678cefbda2a965342f93f006a9307911fe8

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=sha256:507d7ac7f5380d2237259adc886bc58d9f68aecec4ed1003e5ff734598dd5446

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=sha256:8a07e487eacc19a7099b90c802737437cef211b1ff44e910941d481c304371d2

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.204311Z digest=sha256:628a2aa820eda7504e5916db2f4bebc3f449debb3e580d32196967ddd5ffb1be

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.208964Z digest=sha256:288cb2d5b6df14f3ce32abe2e560ff051309acf1c63968d8eeb4804fc54044de

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.213640Z digest=sha256:bf9f0f0805f1a05043a19e343d1743f239a671ad98fe62ccffa5c572a35fd072

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.217892Z digest=sha256:d7ca35a988957d66138659c3c9144efeea93f0d74b0e0fafd971f836522794fe

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=sha256:2756108d964b9b84c8c16470d9ab5ca661885d43cac5bf57073ef51c6692f1d7

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:ee43552d53900388715bdc480dd553d600aeda90238824df20391adf469b2868

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.234799Z digest=sha256:265c4d626c7bc78afe5b4e7b315256e650bf65f826d93d2c191c03669d2df387

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=sha256:9af7f5dda839a0f04fec2e0133ca8b4dec9c556f39ab0f6866ae5e0559cf1a6b

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=sha256:24976823ef2ec4c59f72e1332a798b06d1aea860b779cfb84eec93d5f43d7cbc

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.246916Z digest=sha256:9c17ef77ee423fef23ecc6b9259df9f924672ab0611e4cb05424564881ab1e20

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=sha256:310abce719a0cfc9afdd3d791cbae5021a344de29a9eff0a332ef45a4e8b8bab

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=sha256:87fac7ba29e1dd33725f26c8416832a04067c624cc4065f736cc1a5a01a43533

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=sha256:7a6749f06d44c19a980379aa4a46ef86c0549ada75f047afe226a1d961637c1e

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=sha256:0a7b058280215febdd5ab32db3015ed4b0b8a5a66b1e97ff85bfa97306f46a96

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:33:53.270435Z digest=sha256:0f00dcf6ce0ac4f56a47caf543d98a775af5e437de0b8f5b2f9df072b7cddbcd

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:d402e6b7d3923c5d056c10fb397bcddca1790c7afb37c194288f16a2810f2228

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:c69a74a595683b5b1a05698506f696be4bb5015c0b9d1b6e6cfd1bfd539ee5a1

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=sha256:1fbcc108286c34640e98cecb1e8bc4cc515b6e7a6e6e215571b255f8e1510a38

Pith citing papers

No inbound Pith citation observations are available.