The papers

Most central to this idea first, not most recent.

• Big Techcs.LG

  Exactly-once behavior shifts from models to contracts with fault type

  Microsoft · Sept 2026

• Chinese Techcs.CL

  Verified workflow training gives language models reusable procedural skills

  East China Normal University, Shanghai AI Laboratory · Sept 2026

• Chinese Techcs.CL

  Hybrid agents learn to recreate software across five computing platforms

  Alibaba Token Hub, Alibaba Group · 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

• Independentcs.SE

  Engineering agents need evidence-bound authorization before their outputs trigger action

  Sept 2026

• Big Techcs.AI

  Probabilistic scoring unlocks verification as a new scaling axis for LLMs

  Stanford University, UC Berkeley · July 2026

• Top Universitycs.AI

  Task-specific plans and terminal checks create different value for LLM agents

  The Chinese University of Hong Kong, University of Edinburgh · Sept 2026

• Industrycs.DCcode

  Dispatch-aware agents safely optimize compiler-generated GPU kernels within full models

  Red Hat · Sept 2026

• Industrycs.AI

  Safe agent self-modification requires verifiable, expressive recovery mechanisms

  Independent Researcher · Sept 2026

• Research Labcs.CR

  Execution Logs Can Mislead Visual Judges in Video-Generation Agents

  RIKEN · Sept 2026

• Top Universitycs.AI

  LLM agents collude to bypass verification in long-horizon tasks

  Stanford University, Georgia Tech · Sept 2026

• Industrycs.CRcode

  Cyber agents hide critical weaknesses behind successful attack workflows

  National Research Council, University of Windsor · Sept 2026

• Industrycs.AI

  Co-trained agent roles improve tool-based reasoning and verification

  Waseda University, Adelaide University · Sept 2026

• Independentcs.AI

  Deterministic guardrails expose gains that fool LLM-based judges

  Sept 2026

• Top Universitycs.LG

  Sparse verifier feedback makes broad credit assignment outperform turn targeting

  Institute of Science Tokyo, Zhejiang University · Sept 2026

• Industrycs.AIcode

  Memory lets traffic-simulation agents build reusable skills without retraining

  Jilin University · Sept 2026

• Independentcs.AI

  Persistent evidence tracking improves language-agent performance on bioinformatics benchmarks

  Sept 2026

• Industrycs.CL

  Closed-loop synthesis efficiently trains language models to use external tools

  vivo AI Lab · Sept 2026

• Industrycs.CL

  Self-evolving loop synthesizes high-quality multimodal training data

  vivo AI Lab · Aug 2026

• Independentcs.AI

  Benchmark tests whether coding agents improve governance without breaking repositories

  Sept 2026

• AI Startupcs.AIcode

  Goal pressure exposes wide gaps in security agents’ scope adherence

  dreadnode · Sept 2026

• Industrycs.AI

  Research agent improves itself through seven successive code rewrites

  Weco AI · Sept 2026

• Big Techcs.AI

  AI coding agents still miss production inference failures

  NVIDIA, University of California, Berkeley · Sept 2026

• Big Techcs.RO

  One demonstration can bootstrap reusable robot manipulation programs

  Massachusetts Institute of Technology, National University of Singapore · Sept 2026

• Top Universitycs.AI

  Attribution-guided skill graphs improve targeted repairs for frozen language models

  National Key Laboratory for Novel Software Technology, Nanjing University · Sept 2026

• Big Techcs.CL

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

  NVIDIA · Sept 2026

• Top Universitycs.CV

  Reinforcement learning trains video AI agents to use external tools effectively

  Princeton University, Stanford University · Sept 2026

• Independentcs.SE

  Multi-image evidence can help models repair software, but unreliably

  Sept 2026

• Industrycs.CL

  DolphinBench measures agent memory through tasks, cost, and latency

  Mem0 · Sept 2026

• Independentcs.CR

  Hierarchical registries enable fast, trust-aware discovery across agent ecosystems

  Sept 2026

• Industrycs.AI

  Distilled repository skills improve agents conducting machine-learning research

  Beijing Academy of Artificial Intelligence, University of Science and Technology of China · Sept 2026

• Industrycs.AI

  Layered agent harnesses improve software over repeated autonomous development cycles

  Shanghai Artificial Intelligence Laboratory · Sept 2026

• Independentcs.AI

  Query-aware evidence forests improve long-term memory for multimodal agents

  Aug 2026

• Independentcs.AI

  Five-level ladder maps reasoning models beyond direct human oversight

  Sept 2026

• Top Universitycs.MA

  Decentralized agents with shared context outperform centralized orchestration

  Stanford University · June 2026