Paper Citation Record · LEDGER

Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2309.17234.

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

pith.paper-citation-record.v1
2309.17234 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:45:04.855243Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.844144Z

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 7106c292-d144-4a14-84be-dd224f8c855f · inbound

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making cites this paper.

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T13:43:44.580193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 619d3b64-3b2b-418f-896a-23cd5c4bd40f · inbound

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios cites this paper.

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T21:58:45.673181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bf7c1ee-cccb-4fca-bfc4-b5cc611613c0 · inbound

Generative Adversarial Reviews: When LLMs Become the Critic cites this paper.

Generative Adversarial Reviews: When LLMs Become the Critic Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T19:57:43.432928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56d9895-3ad1-42a4-a7f3-63613c959c23 · inbound

LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models cites this paper.

LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T12:09:18.676461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22548398-19ab-43bc-87cf-74eeb112fa1b · inbound

From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies cites this paper.

From Divergence to Consensus: Evaluating the Role of Large Language Models in Facilitating Agreement through Adaptive Strategies Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T16:14:51.957374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d376074-d137-46ed-acc1-54b2b6bd65fd · 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 Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T23:45:04.855243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7aa7f0-6415-470d-8018-d8c7fe82ddb8 · inbound

Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling cites this paper.

Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:36.927901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb22f23c-b67e-4da7-9faa-36e978f4d73e · inbound

The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind cites this paper.

The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:49:37.942223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfab6950-fd94-42ce-9bf7-ac42c36c9807 · inbound

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles cites this paper.

Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T19:11:23.724411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fd0236e-dc05-4f9c-9bc9-f568063335bd · inbound

Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences cites this paper.

Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:53.304098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 893e5357-f9a3-455e-9ea8-dd0bd17c19b7 · inbound

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building cites this paper.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T18:34:13.108989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6905c6e-9193-4f62-a8f4-b3dabf64fb00 · inbound

A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data cites this paper.

A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T11:29:58.693674Z

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.

Observation 2b4a7c5e-cdff-4a27-95a7-eff6b6a77f4d · inbound

Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation cites this paper.

Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:17:59.405435Z

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.

Observation 66be8884-aead-49a1-b60e-5711656e3c6c · inbound

Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits cites this paper.

Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:43:19.649387Z

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.

Observation a5c25b66-d517-4fe8-a6bc-0131beaa89cc · inbound

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:57:23.845785Z

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.