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OwlSight: A Panoramic Monitor for Chain-of-Thought Reasoning

Paper recorded by Signals 4 on 2026-10-16 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-16 on arXiv · recorded by Signals 4 on 2026-10-19

Category: cs.AI · 人工智能 · first seen 2026-10-19

Abstract

Chain-of-Thought (CoT) monitoring offers actionable evidence for oversight AI systems, with the potential to enable early detection and intervention. However, existing approaches are focused on specific tasks, whereas the regulation of AI, particularly reasoning models, requires monitoring a broader range of tasks. We introduce Factor for CoT monitoring, a strategy that supports customizing monito

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#272 most recent of 960 cs.AI papers we have recorded · ↑ newer: On the possibilities and limitations of LLM-based multi-agent systems · ↓ older: TUPLE-Bench: Evaluating and Mitigating Privacy-Utility Trade-offs in T
Cite this page: OwlSight: A Panoramic Monitor for Chain-of-Thought Reasoning: the #272 most recent of 960 cs.AI papers we have recorded (as of 2026-10-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/owlsight-a-panoramic-monitor-for-chain-of-thought-reasoning.html
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