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# Paper: AgentTether: Graph-Guided Diagnosis and Runtime Intervention for Reliable LLM Agent Operation
---
type: paper
title: "AgentTether: Graph-Guided Diagnosis and Runtime Intervention for Reliable LLM Agent Operation"
authors: Chenyu Zhao, Shenglin Zhang, Wenwei Gu, Yongqian Sun, Dan Pei, Chetan Bansal, Saravan Rajmohan, Minghua Ma
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2607.06273
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-07-07
updated_at: 2026-07-07
status: queued
relevance: high
topics:
- agent-evaluation
- computer-use
- memory
- reasoning
- tool-use
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.SE
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 17
collection_queries: llm-agent, tool-use
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: llm-agent, tool-use
- inferred topics: agent-evaluation, computer-use, memory, reasoning, tool-use
- arXiv categories: cs.SE
- collection score: 17
## Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?
## Links
- arXiv: https://arxiv.org/abs/2607.06273