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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2403.11807.

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

pith.paper-citation-record.v1
2403.11807 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:57:41.445378Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:07:29.931671Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f59f6c0c-63c3-4c25-867b-8028e3402166 · inbound

MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data cites this paper.

MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:53:38.696151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T23:51:38.421691Z digest=sha256:c1df7634a2c20b677e434f14b4ec3bd674035fbdee00a7141e6fc0aebc9dd3d9

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

Verbalized Bayesian Persuasion cites this paper.

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

Reference 57

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:57:41.445378Z digest=sha256:d4b496de5d41ee95a11a8071fb975c2062187d16773386878d08dfda2a668ad4

Observation 60092177-4e03-4ebe-98e2-e0edf909a7e2 · inbound

PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology cites this paper.

PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T23:16:21.310663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:16:21.310663Z digest=sha256:ad673f3f9d8b9b81a0361d9eccb53f4f6b3de59d98a484469d0c956fa231f6b8

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

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

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers 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=sha256:7020f2ecca4ef45846464feee836f58a089fbb94a728dac71cc5d019d5bd3289

Observation 361a9ff8-4b02-4b6f-9181-dc334151191c · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 288

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:40:41.682858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:f748386f4e5d24fa2a718ac9934e0bd64271157d9df98e515d8bd94fc46fb5f2

Observation 7182fce6-e7de-4b88-9fa1-ab7ff120e71c · inbound

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments cites this paper.

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T11:57:16.289658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:57:08.314088Z digest=sha256:46a5e95d898e618aa4baf21ce70259abbc3886d98221376caf0895c4df18a47c

Observation 7540a5e3-8bb1-4286-acf1-691d59dd7650 · inbound

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games cites this paper.

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T12:02:16.587397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T12:01:42.681135Z digest=sha256:bdb5337cf8e6e142afcb40b56213c6a507ee386608e416184c5e6f7e94cfb24d

Observation 881582e8-8b24-4c70-9896-1d185645fd38 · inbound

The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games cites this paper.

The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T00:00:12.164767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:00:12.164767Z digest=sha256:d6d05a3aaf7d2435b4210850e2cafef01203709d9870c221d5fc994f3181c235

Observation 31b361ed-14a7-459d-b21c-e4466e761a1a · inbound

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making cites this paper.

Can LLMs Play \^O \u{A}n Quan Game? A Study of Multi-Step Planning and Decision Making How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T20:08:13.419194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:08:13.419194Z digest=sha256:3a7350a81ddd78a7df45955f7f095956644704d6425cf6246039ec0ec64ae6e6

Observation 86daf386-65c1-4179-8d1d-5c9c75f4ca84 · inbound

Ethical Considerations of Large Language Models in Game Playing cites this paper.

Ethical Considerations of Large Language Models in Game Playing How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T17:36:09.996325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:36:09.996325Z digest=sha256:545d47ffbb956ff0827c33bbf66b6e1e00a189bd02ec35ac7678dd50c6be560b

Observation 17cdbb1c-ce08-496d-8ac2-c6d0d1699567 · 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 How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:31:01.975907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T14:29:53.295960Z digest=sha256:99911c53309c1bc5a95989ec77b303c313c3b988d0e5e62d823aeb9756a4428b

Observation 233011bf-1b8e-4222-80af-689d23fdecb7 · 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 How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-03T10:33:43.501269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:33:43.501269Z digest=sha256:a8acd1c19606ffded386e9d1dcf58c5f0f60805fddc15dc5796a4fcfbf0b0af9

Observation f4c870e6-6503-43ba-8493-f14ff60d001b · inbound

LLM-WikiRace Benchmark: How Far Can LLMs Plan over Real-World Knowledge Graphs? cites this paper.

LLM-WikiRace Benchmark: How Far Can LLMs Plan over Real-World Knowledge Graphs? How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T22:26:36.372679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T22:26:36.372679Z digest=sha256:e820a17b4bf7631841318115a25e5660a8807e60fe8e1156ddf2911ebc511287

Observation daf880ec-ba7e-4395-9d26-7cbd4b594a22 · inbound

Understanding the Mechanism of Altruism in Large Language Models cites this paper.

Understanding the Mechanism of Altruism in Large Language Models How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 251

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:31:02.538487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T01:36:50.329664Z digest=sha256:9346531939b461f67d72c5a99804259e843f846f64fac614906da0cef8a59ec5

Observation 82be7c3f-d3ee-4039-b567-c0ad3ffcd9fe · inbound

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse cites this paper.

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:26:19.154259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T03:25:24.844859Z digest=sha256:780ab9ac74e9923f8c80c0d0ec085005c22ac4b22581db47e91d7524a96114b8

Observation 91536eaf-f4f6-4e08-a288-049d4d68d104 · inbound

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse cites this paper.

Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:47:27.303615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T06:44:28.552513Z digest=sha256:a7f80fced79a2a4849d9c6de83831eb7fbe82d8121e0a338cad8d850d42f36c7

Observation b1940e1e-1835-4daf-a661-1501a033d0ae · inbound

Common-agency Games for Multi-Objective Test-Time Alignment cites this paper.

Common-agency Games for Multi-Objective Test-Time Alignment How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T06:15:06.500600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T06:14:53.685486Z digest=sha256:f0b1fb71d2b26fe6f2cf7f80937eacc4fb39c5fd162583623f9e2f613b757d0e

Observation 1ff92bca-7b9a-45f6-91f2-111f3f692008 · inbound

SMAC-Talk: A Natural Language Extension of the StarCraft Multi-Agent Challenge for Large Language Models cites this paper.

SMAC-Talk: A Natural Language Extension of the StarCraft Multi-Agent Challenge for Large Language Models How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:46:32.753196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T09:42:43.553869Z digest=sha256:89c22e0c9f7209f821a7b78a14257537b4a46ed14cda15a509da992a33f78565

Observation f339d473-90f4-4b7c-a18f-22eb18bbb006 · inbound

OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics cites this paper.

OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:07:29.933534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T16:50:36.194650Z digest=sha256:9cfc32a69b60fb89010652413677249d8fdb8f37f10be09925aef5b9de9c5036