Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
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
}Claims: 1
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
Source count: 5
Coverage: 67%
Last proof check: 2026-04-21T20:33:49.017Z
Signal Canvas receipt window
/buildability/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent
Subject: LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 8.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 23, "author": "Wanli Li; Bince Qu; Bo Pan; Jianyu Zhang; Zheng Liu; Pan Zhang; Wei Chen; Bo Zhang"
Implication not extracted yet.
partial
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Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent
Paper ref
literesearcher-a-scalable-agentic-rl-training-framework-for-deep-research-agent
arXiv id
2604.17931
Generated at
2026-04-21T20:33:49.017Z
Evidence freshness
stale
Last verification
2026-04-21T20:33:49.017Z
Sources
5
References
0
Coverage
67%
Lineage hash
395cde222f26a218d217d23d4b170240a47444aab23ba8a7cc3a33a285bf18ce
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Pending verification refs / 5 sources / Verification pending
repo_url
references