Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents explores Prompt optimization can lead to emergent and stable algorithmic collusion in LLM agents participating in market simulations.. Commercial viability score: 3/10 in LLM Agents.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents | Route /paper/prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agentsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.17774"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents",
"normalized_query": "2604.17774",
"route": "/paper/prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents",
"paper_ref": "prompt-optimization-enables-stable-algorithmic-collusion-in-llm-agents",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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