Autonomous agents increasingly perform long-horizon tasks involving tool use, persistent state, and consequential actions, raising a fundamental question: \emph{under what conditions does an agent cross the boundary of authorized execution while pursuing a le...
VQV Signal
RESEARCH
SOURCE-BACKED
TECHNICAL
The Missing Boundary: How Autonomous Agents Lose Control
Autonomous agents increasingly perform long-horizon tasks involving tool use, persistent state, and consequential actions, raising a fundamental question: \emph{under what conditions does an agent cross the boundary of authorized execution while pursuing a le...
Autonomous agents increasingly perform long-horizon tasks involving tool use, persistent state, and consequential actions, raising a fundamental question: \emph{under what conditions does an agent cross the boundary of authorized execution while pursuing a legitimate task?} Existing studies often attribute such...
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Signal Strength 95%
Technical label SOURCE-BACKED
Public Interest 22
Category RESEARCH
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 20
Novelty Interest Score 48
Consequence Score 18
Curiosity Score 16
Shareability Score 41
Topics
VQV surfaced this signal because it is recent, relevant to AI Agents, connected to arXiv.
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