arXiv (All)
open access
Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents
Thought templates, skill libraries, agent memories and caches turn many reasoning steps into one. We call this reasoning contraction. A contracted memory saves reasoning steps and errors until its facts change, then quietly answers wrong. Most systems trust memories by counting successes and failure
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Memory Trust Gap: Capability-Dependent Failures in Persistent-Memory Agents#822274
- MEMO: Multimodal Evidence Memory Organization for Long-Horizon LLM Agents#984392
- Understanding Stage-Wise Utility-Risk Trade-offs in LLM Agent Memory#799399
- Understanding Stage-Wise Utility-Risk Trade-offs in LLM Agent Memory#797976
- What Survives When Activation Steering Is Used as Memory#1325854
Record · ID 1342758
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive