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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2311.03220.

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

pith.paper-citation-record.v1
2311.03220 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:57:41.560268Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T19:03:08.367704Z

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 4fb64a6e-8f7e-4746-969f-2c7d8e00e10e · inbound

Large Language Model based Multi-Agents: A Survey of Progress and Challenges cites this paper.

Large Language Model based Multi-Agents: A Survey of Progress and Challenges ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:58:56.252099Z

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=2026-05-12T06:58:54.921355Z digest=sha256:d062be1a7ad83afef8c2f57346b65db275d04c6f78c28c96e21113629040d8e1

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

Verbalized Bayesian Persuasion cites this paper.

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

Reference 86

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation c2fbba04-ca01-4a71-b3ed-8dd33c2810e5 · inbound

Position: Emergent Machina Sapiens Urge Rethinking Multi-Agent Paradigms cites this paper.

Position: Emergent Machina Sapiens Urge Rethinking Multi-Agent Paradigms ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T04:16:44.698120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:16:44.698120Z digest=sha256:4f1069572f2340b738d2b1bace68c2a0f3ba3172e7f8361e6c385dea9afff6a6

Observation cdb55b26-576d-467e-a89b-c4477e3f34e8 · inbound

Position Auctions in AI-Generated Content cites this paper.

Position Auctions in AI-Generated Content ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:51.180513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:51.180513Z digest=sha256:6e3e93141bb3cdc259a60b324819ee18499fe519db1fbaf2a1013fae8a81bc34

Observation 150ef5ac-82f3-441c-9c35-b24aa6733ee9 · inbound

How Large Language Models play humans in online conversations: a simulated study of the 2016 US politics on Reddit cites this paper.

How Large Language Models play humans in online conversations: a simulated study of the 2016 US politics on Reddit ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:18.581277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:18.581277Z digest=sha256:72e38809f5d2a7b2bae4a52cbe17e2270a19f8c0af5729a2b8373b669ca5dfeb

Observation f3ff62dc-d1c6-4fa2-adb2-1d6958061bc4 · inbound

MASCA: LLM based-Multi Agents System for Credit Assessment cites this paper.

MASCA: LLM based-Multi Agents System for Credit Assessment ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T11:24:47.269002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:24:47.269002Z digest=sha256:68c607be8f5efb21ff223e87471082d70602d1e35ea0e2b8611e0c97de76adbb

Observation 4c17001c-7776-479d-a641-2d254f2b96b4 · inbound

SimViews: An Interactive Multi-Agent System Simulating Visitor-to-Visitor Conversational Patterns to Present Diverse Perspectives of Artifacts in Virtual Museums cites this paper.

SimViews: An Interactive Multi-Agent System Simulating Visitor-to-Visitor Conversational Patterns to Present Diverse Perspectives of Artifacts in Virtual Museums ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T21:58:53.258897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:58:53.258897Z digest=sha256:ff46d95a8ab80427da12d3c5f66974ca8b5c13e91ca7ce4d1ad7d9bbacde0f8c

Observation 868fe4fe-d033-473a-90ff-7c7781803852 · inbound

EconAgentic in DePIN Markets: A Large Language Model Approach to the Sharing Economy of Decentralized Physical Infrastructure cites this paper.

EconAgentic in DePIN Markets: A Large Language Model Approach to the Sharing Economy of Decentralized Physical Infrastructure ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T14:23:45.767016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:23:45.767016Z digest=sha256:befae1ccc7cc52df6a9f0aae5ae2c94d2aa177df62a3b185562e0387821cafe3

Observation 858a432f-c7d8-4918-806c-1e3ee4ec335a · inbound

Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition cites this paper.

Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:55:50.838272Z

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=2026-05-10T18:48:02.028929Z digest=sha256:d4d362ff67d75f93fa6b3dc801e2f113faf2e97d03943ffe62c0c03c5f374a83

Observation ddbe9ac6-caf1-4227-b7c4-1ead17928235 · inbound

Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RAN cites this paper.

Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RAN ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:03:08.369408Z

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=2026-05-13T19:03:03.886581Z digest=sha256:b0d63919c36143827c941cd4345a5f31497cb6d99b1cf718f3b665116f1bfd71

Observation 2f8bd402-ed9d-421b-98ca-11c9d27c19bc · inbound

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model cites this paper.

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agents

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:55.867217Z

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=2026-05-11T01:19:42.892343Z digest=sha256:cfaafa8b1148fb7a9261dc644624ad8006fb7a082cf0af78206330bd2c747e42