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cs.AI2026
Retrieval as Traversal: Value-Indexed Memory for Stateful Long-Context Agents
Daniel Strauß, Zhenshan Bing, Alois Knoll
Long-context models repeatedly solve closely related retrieval problems. Attention or global retrieval can retain large stores, but each forward pass again searches for what matter…
cs.AI2026
Cheap Retrieval and Observation Credit Assignment from One Quantity: The Value of Information
Daniel Strauss, Nikolaos Sotirakis, Zhenshan Bing +1
Memory in reinforcement learning raises two problems. Attention finds the relevant item by scoring the whole store, which is costly for robots under latency and energy limits. When…