LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent explores LiteResearcher is a scalable RL training framework for research agents, enabling a small agent to outperform large commercial models by mirroring real-world search dynamics in a lite virtual world.. Commercial viability score: 8/10 in Agents.
Use This Via API or MCP
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/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent | Route /paper/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agentMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.17931"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent",
"normalized_query": "2604.17931",
"route": "/paper/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent",
"paper_ref": "literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent",
"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.
Research neighborhood
Interactive graph renders after load.
Preparing verified analysis
Dimensions overall score 8.0
No public claim map is available for this paper yet.
No public competitor map is available for this paper yet.
Owned Distribution
Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.
References are not available from the internal index yet.