Skill generated from arXiv paper 2607.19913: JANUS: Foreseeing Latent Risk for Long-Horizon Agent Safety
Scanned 9/11/2026
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---
name: janus-foreseeing-latent-risk-for-long-horizon-agen
description: 'Skill generated from arXiv paper 2607.19913: JANUS: Foreseeing Latent Risk for Long-Horizon Agent Safety'
metadata:
{
"arxiv": {
"id": "2607.19913",
"title": "JANUS: Foreseeing Latent Risk for Long-Horizon Agent Safety",
"authors": ['Yuan Xiong', 'Linji Hao', 'Shizhu He', 'Yequan Wang', 'Lijun Li'],
"published": "2026-07-22",
"categories": ['cs.AI', 'cs.CL', 'cs.CR'],
"url": "https://arxiv.org/abs/2607.19913",
"utility": 1.0
}
}
---
# JANUS: Foreseeing Latent Risk for Long-Horizon Agent Safety
**arXiv:** 2607.19913
**Published:** 2026-07-22
**Authors:** Yuan Xiong, Linji Hao, Shizhu He, Yequan Wang, Lijun Li
**Categories:** cs.AI, cs.CL, cs.CR
**Utility:** 1.00
## Key Innovation
Agent safety is moving from content moderation toward preventing operational failures before tool-using agents act. We propose Janus, a foresight-oriented framework for long-horizon agent safety that trains guards to anticipate delayed risks from partial trajectories. Janus synthesizes diverse agent trajectories via multi-agent simulation and learns a shared policy with two coupled tasks: an anticipation task that forecasts safety-relevant futures and an adjudication task that decides safety fro...
## Potential Application
This paper presents advancements that could be applied to enhance agent capabilities in the areas of cs.AI, cs.CL, cs.CR.
## References
- arXiv: https://arxiv.org/abs/2607.19913
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