wuyang
1.3 KiB
1.3 KiB
Paper: SMSR: Certified Defence Against Runtime Memory Poisoning in Persistent LLM Agent Systems
type: paper title: "SMSR: Certified Defence Against Runtime Memory Poisoning in Persistent LLM Agent Systems" authors: Tarun Sharma year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.12703 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-10 updated_at: 2026-06-10 status: queued relevance: high topics:
- agent-evaluation
- memory
- rag
- workflow-agent methods:
benchmarks:
models:
datasets:
- cs.CR
- cs.AI
- cs.LG related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 17 collection_queries: rag-agent
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: rag-agent
- inferred topics: agent-evaluation, memory, rag, workflow-agent
- arXiv categories: cs.CR, cs.AI, cs.LG
- 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
queuedtoskimmedorsummarized?