Propose, Verify, Commit: Evidence-Grounded Memory for Long-Horizon Multi-Actor Conversations

arXiv:2609.23465 · cs.CL, cs.AI · Submitted 2026-09-20 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-20

Updated: 2026-09-20

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Actor — 28× in this paper · explained in 3 episodes
• Benchmark — 16× in this paper · explained in 2 episodes
• Provenance — 13× in this paper · explained in 3 episodes
• Grounding — 10× in this paper · explained in 3 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Generalization — 9× in this paper · explained in 13 episodes
• Ablation — 7× in this paper · explained in 1 episode
• RAG — 7× in this paper · explained in 3 episodes
• Abstention — 5× in this paper · explained in 1 episode
• Verification — 5× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• AI Agents — 2× in this paper · explained in 2 episodes
• APEX — 2× in this paper · explained in 1 episode
• Agent Memory — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic Retrieval — 1× in this paper · explained in 1 episode
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Temporal Reasoning — 1× in this paper · explained in 2 episodes

Sources

• MemOS: A Memory OS for AI System
• MemGPT: Towards LLMs as Operating Systems
• Zep: A Temporal Knowledge Graph Architecture for Agent Memory
• GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations

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