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LLM Agents Can Easily Tamper With Their Own Traces

Paper recorded by Signals 4 on 2026-09-24 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-24 on arXiv · recorded by Signals 4 on 2026-09-25

Category: cs.AI · 人工智能 · first seen 2026-09-25

Abstract

Asynchronous monitoring, incident investigations, and compliance audits primarily rely on agent traces to reconstruct what happened. These analyses assume that LLM agents cannot tamper with their own execution traces. We show that local LLM agents such as Claude Code, Codex, Antigravity, Open Code and Grok Build fail to enforce this boundary. All tested harnesses, except Muse Code, allowed agents

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#1 most recent of 400 cs.AI papers we have recorded · ↓ older: AD-WM: Action-Discriminative World Models for Counterfactual Model Pre

Cite this page: LLM Agents Can Easily Tamper With Their Own Traces: the #1 most recent of 400 cs.AI papers we have recorded (as of 2026-09-24). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llm-agents-can-easily-tamper-with-their-own-traces.html
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