Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems

Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems | Signal Canvas | ScienceToStartup

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Proof freshness: unknown
Proof status: unverified
Display score: 8/10
Last proof check: 2026-04-07
Score updated: 2026-04-07
Score fresh until: 2026-05-07
References: 0
Source count: 0
Coverage: 0%

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Agent Handoff

Canonical ID cog-drift-exploration-on-adaptively-reformulated-instances-enables-learning-from-hard-reasoning-problems | Route /signal-canvas/cog-drift-exploration-on-adaptively-reformulated-instances-enables-learning-from-hard-reasoning-problems

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/cog-drift-exploration-on-adaptively-reformulated-instances-enables-learning-from-hard-reasoning-problems

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: Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems

PDF: https://arxiv.org/pdf/2604.04767v1

Repository: https://github.com/dinobby/Cog-DRIFT

Source count: Pending verification

Coverage: 0%

Last proof check: 2026-04-07T20:11:16.690Z

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Subject: Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems

Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems

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