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Bilevel Optimization of Agent Skills via Monte Carlo Tree Search

Stale2d agoPending verification refs / 3 sources / Verification pending
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Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/bilevel-optimization-of-agent-skills-via-monte-carlo-tree-search

ready
Proof freshness
fresh
Proof status
unverified
Display score
6/10
Last proof check
2026-04-20
Score updated
2026-04-20
Score fresh until
2026-05-20
References
0
Source count
3
Coverage
50%

Page-specific freshness sourced from this paper's evidence receipt and score bundle.

Agent Handoff

Bilevel Optimization of Agent Skills via Monte Carlo Tree Search

Canonical ID bilevel-optimization-of-agent-skills-via-monte-carlo-tree-search | Route /signal-canvas/bilevel-optimization-of-agent-skills-via-monte-carlo-tree-search

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/bilevel-optimization-of-agent-skills-via-monte-carlo-tree-search

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "bilevel-optimization-of-agent-skills-via-monte-carlo-tree-search",
    "query_text": "Summarize Bilevel Optimization of Agent Skills via Monte Carlo Tree Search"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Bilevel Optimization of Agent Skills via Monte Carlo Tree Search",
  "normalized_query": "2604.15709",
  "route": "/signal-canvas/bilevel-optimization-of-agent-skills-via-monte-carlo-tree-search",
  "paper_ref": "bilevel-optimization-of-agent-skills-via-monte-carlo-tree-search",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Bilevel Optimization of Agent Skills via Monte Carlo Tree Search

PDF: https://arxiv.org/pdf/2604.15709v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-20T20:24:17.568Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

Bilevel Optimization of Agent Skills via Monte Carlo Tree Search

Overall score: 6/10
Lineage: a280e10c75de

Canonical Paper Receipt

Last verification: 2026-04-20T20:24:17.568Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 3

Coverage: 50%

Missingness
  • - repo_url
  • - references
  • - proof_status
Unknowns
  • - proof verification has not been recorded yet

Preparing verified analysis

Dimensions overall score 6.0

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No public code linked for this paper yet.

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Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

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