INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 7/16/2026, 4:00:00 AM · TLP amber
Summary
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Phantom Guardrails: When Self-Improving Agent Harnesses Fix Failures That Never Happened arXiv:2607.13083v1 Announce Type: new Abstract: Self-improving AI agents are designed to learn from their mistakes. We show they can also hallucinate mistakes that never happened. We study this failure mode in automated harness optimization, where an LLM-based proposer edits an agent's scaffold, including prompts, parsers, filters, validators and guardrails, to eliminate observed failure…
https://arxiv.org/abs/2607.13083
sha256:6f6ea39065dd8db21719aba60153bae933c16f525db05340dd46f9f103dc1442
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