INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 6/9/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Collective Hallucination in Multi-Agent LLMs:Modeling and Defense arXiv:2606.07941v1 Announce Type: new Abstract: Hallucinations in large language models (LLMs) create heightened risks in multi-agent settings, where recursive agent interactions can propagate, reinforce, and amplify unsupported claims. This paper models hallucination as a system-level, time-evolving process across a network of interacting LLM agents, where nodes represent agents and edges encode information e…
https://arxiv.org/abs/2606.07941
sha256:e2c0265ca72b49c67f05c603c69c32d657ee5fe06d37fee426735a8716e183bb
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Indicators
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Malware families
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Threat actors mentioned
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ATT&CK techniques
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