The papers

Most central to this idea first, not most recent.

• AI Startupcs.SE

  Coding agents often overstate how thoroughly they reviewed files

  Mila – Quebec AI Institute, Tara Research · Sept 2026

• Chinese Techcs.AI

  Checkpoint testing reveals hidden weaknesses in self-evolving agent memories

  Zhejiang University, Alibaba Group · Sept 2026

• Big Techcs.CL

  Process-based evaluation reveals where computer-use agents go wrong

  NVIDIA · Sept 2026

• Chinese Techcs.AI

  Process-level tests expose distinct mathematical agent capabilities in LLMs

  Sun Yat-sen University, Tencent Youtu Lab · Aug 2026

• Top Universitycs.AIcode

  Deep research agents struggle with long, multimodal evidence chains

  Mohamed bin Zayed University of Artificial Intelligence, University of Science and Technology of China · Sept 2026

• Big Techcs.AIcode

  Stateful retrieval finds relevant troubleshooting cases throughout support workflows

  Microsoft · Sept 2026

• Industrycs.AI

  Formal logic solvers can audit and improve language-model reasoning chains

  University of Bristol, King Abdullah University of Science and Technology · Sept 2026

• Top Universitycs.AI

  Privileged supervision improves action-level credit for language-model agents

  Zhejiang University · Sept 2026

• Chinese Techcs.CL

  Selecting evidence before summarizing improves long-context reasoning efficiency

  Peking University, Baidu Inc. · Sept 2026

• AI Startupcs.CL

  Chain-of-thought reasoning traces are legible but not interpretable

  ETH Zurich, MIT · Sept 2026