Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces

Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/scaling-agentic-capabilities-not-context-efficient-reinforcement-finetuning-for-large-toolspaces

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

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 scaling-agentic-capabilities-not-context-efficient-reinforcement-finetuning-for-large-toolspaces | Route /signal-canvas/scaling-agentic-capabilities-not-context-efficient-reinforcement-finetuning-for-large-toolspaces

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/scaling-agentic-capabilities-not-context-efficient-reinforcement-finetuning-for-large-toolspaces

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces

PDF: https://arxiv.org/pdf/2603.06713v1

Source count: Pending verification

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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Verdict

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Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces

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