The papers

Most central to this idea first, not most recent.

• Top Universitycs.AI

  Typed selective control cuts strong-model calls while preserving agent success

  Nanyang Technological University · Sept 2026

• Big Techcs.AIcode

  Stateful retrieval finds relevant troubleshooting cases throughout support workflows

  Microsoft · Sept 2026

• Industrycs.AI

  Typed trace folding helps agents and observers manage long runs

  Salesforce AI Research · Sept 2026

• Top Universitycs.AI

  Structured software interfaces outperform screenshot-and-click control for AI agents

  X-LANCE Lab, Shanghai Jiao Tong University · Aug 2026

• Top Universitycs.AI

  Coding Agents Need Semantic Measures of Working Memory Performance

  Argonne National Laboratory, Columbia University · Sept 2026

• Big Techcs.AI

  Structured behavioral abstractions improve diagnosis of failures in LLM agents

  Tsinghua University, Microsoft Research · Sept 2026

• Big Techcs.AI

  Python objects become AI agents in new NVIDIA framework

  NVIDIA · July 2026

• Big Techcs.AI

  Skill evolution improves agent performance in image generation workflows

  University of Pennsylvania, Nvidia · July 2026

• Top Universitycs.AI

  Cross-device workflows expose major weaknesses in today’s GUI agents

  Beihang University, Beijing Institute of Technology · Sept 2026

• Top Universitycs.AI

  Markdown interfaces cut agent context costs without reducing task success

  Seoul National University, H1R.AI · Sept 2026

• Independentcs.AI

  Separating state tracking from actions improves multi-turn tool reliability

  Aug 2026