Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search
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Signal Canvas proof surface
Canonical route: /signal-canvas/beyond-stochastic-exploration-what-makes-training-data-valuable-for-agentic-search
- Proof freshness
- stale
- Proof status
- unverified
- Display score
- 4/10
- Last proof check
- 2026-04-10
- Score updated
- 2026-04-10
- Score fresh until
- 2026-05-10
- References
- 0
- Source count
- 3
- Coverage
- 50%
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search
Canonical ID beyond-stochastic-exploration-what-makes-training-data-valuable-for-agentic-search | Route /signal-canvas/beyond-stochastic-exploration-what-makes-training-data-valuable-for-agentic-search
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/beyond-stochastic-exploration-what-makes-training-data-valuable-for-agentic-searchMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "beyond-stochastic-exploration-what-makes-training-data-valuable-for-agentic-search",
"query_text": "Summarize Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search",
"normalized_query": "2604.08124",
"route": "/signal-canvas/beyond-stochastic-exploration-what-makes-training-data-valuable-for-agentic-search",
"paper_ref": "beyond-stochastic-exploration-what-makes-training-data-valuable-for-agentic-search",
"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: Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search
PDF: https://arxiv.org/pdf/2604.08124v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-10T17:41:31.509Z
Paper Conversation
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Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search
Canonical Paper Receipt
Last verification: 2026-04-10T17:41:31.509ZFreshness: stale
Proof: unverified
Repo: missing
References: 0
Sources: 3
Coverage: 50%
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- - proof verification has not been recorded yet
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Dimensions overall score 4.0
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