Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration explores LLM agents are trained for spontaneous, reward-free self-evolution by exploring world knowledge, leading to significant performance gains on downstream tasks.. Commercial viability score: 6/10 in 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/training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration | Route /paper/training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-explorationMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.18131"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration",
"normalized_query": "2604.18131",
"route": "/paper/training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration",
"paper_ref": "training-llm-agents-for-spontaneous-reward-free-self-evolution-via-world-knowledge-exploration",
"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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Dimensions overall score 6.0
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