A hierarchical memory architecture overcomes context limits in long-horizon multi-agent computational modeling

arXiv:2607.07666 · q-bio.QM, cs.MA · Submitted 2026-07-08 · Read on arXiv

q-bio.QM, cs.MA

Submitted: 2026-07-08

Updated: 2026-09-17

Terminology

• Benchmark — 20× in this paper · explained in 2 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Ablation — 10× in this paper · explained in 1 episode
• Robustness — 7× in this paper · explained in 5 episodes
• Grounding — 6× in this paper · explained in 3 episodes
• Benchmarking — 5× in this paper · explained in 3 episodes
• Hallucination — 4× in this paper · explained in 3 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Multi-Agent System — 3× in this paper · explained in 6 episodes
• Scaffolding — 3× in this paper · explained in 3 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Physical Constraints — 2× in this paper · explained in 7 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Multi-agent system (MAS) — 1× in this paper · explained in 2 episodes
• Ordinary Differential Equations (ODEs) — 1× in this paper · explained in 2 episodes
• Parameter Identifiability — 1× in this paper · explained in 2 episodes

Sources

• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

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