Fresh Memory, Stale Plans: Dependency-Scoped Validation for Distributed LLM-Agent Memory
This story is from 2026-09-05. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2609.03340v1 Announce Type: new Abstract: Distributed LLM-agent teams can read the latest shared facts and still act on an obsolete plan. A planner may derive an action from requirement $r_3$, another agent may commit $r_4$, and an executor may receive $r_4$ without replacing the plan derived…
Read the full story at arXiv cs.AI ↗
Timeline · 1 report
- 2026-09-05 04:00 · arXiv cs.AI
Fresh Memory, Stale Plans: Dependency-Scoped Validation for Distributed LLM-Agent Memory
More stories
- Anthropic says Claude 'leads' 26 percent of its AI R&D work — Engadget
- Google Joins OpenAI, Anthropic, Meta in Disclosing AI Hacks — Bloomberg AI
- Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
- Optimizing agent system prompts with Amazon Bedrock AgentCore — AWS Machine Learning Blog
- Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
- Introducing Astra for Law — OpenAI News
- Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
- OpenAI reveals cases of ‘concerning’ AI behaviour as it announces new disclosure system — The Guardian AI
Get the daily brief of stories like this at 6:30 every morning →