LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent
- Proof freshness
- fresh
- Proof status
- unverified
- Display score
- 8/10
- Last proof check
- 2026-04-21
- Score updated
- 2026-04-21
- Score fresh until
- 2026-05-21
- References
- 0
- Source count
- 5
- Coverage
- 67%
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent
Canonical ID literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent | Route /signal-canvas/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agentMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent",
"query_text": "Summarize LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent",
"normalized_query": "2604.17931",
"route": "/signal-canvas/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
}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent
PDF: https://arxiv.org/pdf/2604.17931v1
Repository: https://github.com/simplex-ai-inc/LiteResearcher
Source count: 5
Coverage: 67%
Last proof check: 2026-04-21T02:39:43.622Z
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent
Canonical Paper Receipt
Last verification: 2026-04-21T02:39:43.622ZFreshness: fresh
Proof: unverified
Repo: active
References: 0
Sources: 5
Coverage: 67%
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 8.0
GitHub Code Pulse
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