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One Monitor Takes a Prompted List of Things to Watch

OwlSight uses fine- or coarse-grained factors to monitor capability, safety and trustworthiness across reasoning traces.

Published Updated Story ID: mp-2026-10-19-017
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Summary

OwlSight uses fine- or coarse-grained factors to monitor capability, safety and trustworthiness across reasoning traces.

OwlSight turns a monitoring requirement into a factor supplied in the prompt, allowing one system to inspect different kinds of chain-of-thought behavior. Across 15,971 trajectories, the authors report gains over general-purpose models and state-of-the-art results on a chain-of-thought monitorability benchmark, including tests on unseen models and obfuscated traces. The evidence is benchmark-based and depends on access to reasoning traces; it does not establish reliable oversight of hidden reasoning.

Why it matters

OwlSight uses fine- or coarse-grained factors to monitor capability, safety and trustworthiness across reasoning traces.

Limits and context

  • The evidence is benchmark-based and depends on access to reasoning traces; it does not establish reliable oversight of hidden reasoning.

Key claims

  1. OwlSight uses fine- or coarse-grained factors to monitor capability, safety and trustworthiness across reasoning traces.

    Qualification: The evidence is benchmark-based and depends on access to reasoning traces; it does not establish reliable oversight of hidden reasoning.

    Evidence: source-2026-10-19-019

Sources

  1. arXiv preprint 2610.23670, original v1arXiv · primary research

Corrections

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