Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/capability-aligned-hierarchical-learning-for-tool-augmented-llms

ready

Proof freshness: fresh
Proof status: unverified
Display score: 0/10
Last proof check: 2026-06-09
Score updated: 2026-06-09
Score fresh until: 2026-07-09
References: 0
Source count: 3
Coverage: 50%

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

Agent Handoff

Canonical ID capability-aligned-hierarchical-learning-for-tool-augmented-llms | Route /signal-canvas/capability-aligned-hierarchical-learning-for-tool-augmented-llms

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/capability-aligned-hierarchical-learning-for-tool-augmented-llms

MCP example

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    "mode": "paper",
    "paper_ref": "capability-aligned-hierarchical-learning-for-tool-augmented-llms",
    "query_text": "Summarize Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs"
  }
}

source_context

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  "query": "Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs",
  "normalized_query": "2606.09371",
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  "paper_ref": "capability-aligned-hierarchical-learning-for-tool-augmented-llms",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs

PDF: https://arxiv.org/pdf/2606.09371v1

Source count: 3

Coverage: 50%

Last proof check: 2026-06-09T03:25:26.837Z

Signal Canvas receipt window

Not build-ready: Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs

/buildability/capability-aligned-hierarchical-learning-for-tool-augmented-llms

Ignoreblocked

Subject: Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs

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