Memory Control Signals Emerge Before Action in Long Horizon Agents
cs.AI
Submitted: 2026-09-23
Updated: 2026-09-23
Terminology
Sources
- RULER: What's the Real Context Size of Your Long-Context Language Models?
- Self-Compacting Language Model Agents
- Active Context Compression: Autonomous Memory Management in LLM Agents
- SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent
- CoMem: Context Management with A Decoupled Long-Context Model
- ACM: Agentic Context Management for Long Horizon Tasks
- ACON: Optimizing Context Compression for Long-horizon LLM Agents
- Tencent WorkBuddy Bench: A Multi-Domain Coding-Agent Benchmark with Contamination-Resistant Task Construction
- SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents
- Self-GC: Self-Governing Context for Long-Horizon LLM Agents
- LLM Agents Are Latent Context Managers: Eliciting Self-Managed Context via State Proprioception
- MemGPT: Towards LLMs as Operating Systems
- Understanding intermediate layers using linear classifier probes
- Discovering Latent Knowledge in Language Models Without Supervision
- Language Models (Mostly) Know What They Know
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- GLM-5: from Vibe Coding to Agentic Engineering
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