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/planner-centric-reinforcement-learning-for-deep-research-with-structure-aware-reward
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 planner-centric-reinforcement-learning-for-deep-research-with-structure-aware-reward | Route /signal-canvas/planner-centric-reinforcement-learning-for-deep-research-with-structure-aware-reward
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/planner-centric-reinforcement-learning-for-deep-research-with-structure-aware-rewardMCP example
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"query_text": "Summarize Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward"
}
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"query": "Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward",
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"topic_slug": null,
"benchmark_ref": null,
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}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward
PDF: https://arxiv.org/pdf/2605.30824v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-01T20:23:48.629Z
Signal Canvas receipt window
/buildability/planner-centric-reinforcement-learning-for-deep-research-with-structure-aware-reward
Subject: Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward
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 7.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 33, "author": "Mustafa Anis Hussain; Xinle Wu; Yao Lu", "title": "Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward"
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/planner-centric-reinforcement-learning-for-deep-research-with-structure-aware-reward
Paper ref
planner-centric-reinforcement-learning-for-deep-research-with-structure-aware-reward
arXiv id
2605.30824
Generated at
2026-06-01T20:23:48.629Z
Evidence freshness
stale
Last verification
2026-06-01T20:23:48.629Z
Sources
3
References
0
Coverage
50%
Lineage hash
46234b166623ad5e116bf2fdb720a724bfdf99029fbdef35fce217c7f97c38e2
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 / 3 sources / Verification pending
repo_url
references