CORRECT: Condensed Error Recognition via Knowledge Transfer in Multi-agent Systems
Copyright 2026 The CORRECT Authors

This product includes software and adapted code from the following
third-party projects. Their original licenses apply to their respective
portions.

-------------------------------------------------------------------------------
1. Agents_Failure_Attribution (Who&When)
   https://github.com/mingyin1/Agents_Failure_Attribution

   The inference and error-template-generation scripts under `src/` are
   adapted from this repository. We retain the structure of the upstream
   pipeline (trajectory parsing, similarity-based template retrieval,
   all-at-once / step-by-step / binary-search detection methods) and
   extend it with CORRECT's schema-guided detection.

   Cite the upstream Who&When work:
     Zhang, S., Yin, M., Zhang, J., Liu, J., Han, Z., Zhang, J., Li, B.,
     Wang, C., Wang, H., Chen, Y., and Wu, Q. (2025).
     "Which Agent Causes Task Failures and When? On Automated Failure
     Attribution of LLM Multi-Agent Systems." ICML 2025.

-------------------------------------------------------------------------------
2. Magentic-One
   https://github.com/microsoft/autogen (Magentic-One agent system)
   Microsoft Research

   The multi-agent trajectories distributed as part of the CORRECT-Error
   benchmark were generated by running Magentic-One on standard benchmark
   tasks (GAIA, HotpotQA, Musique, WikiMQA, ARC, Math500, MMLU-Pro).
   Magentic-One is released under the MIT License.

   Cite Magentic-One:
     Fourney, A., Bansal, G., Mozannar, H., Tan, C., Salinas, E., Niedtner,
     F., Proebsting, G., Bassman, G., Gerrits, J., Alber, J., et al. (2024).
     "Magentic-One: A Generalist Multi-Agent System for Solving Complex
     Tasks." arXiv:2411.04468.

-------------------------------------------------------------------------------