# Third-party PDF notices

The ten files below are unmodified copies distributed under their respective file-level licenses. “Unmodified” means this repository did not edit, OCR, annotate, recompress, or otherwise adapt the PDF bytes.

## CC BY 4.0

The following works are distributed under [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/):

- `papers/02-yang-2026-trustmem.pdf` — Tianyu Yang, Sudipta Paul, Vijay Srinivasan, Vivek Kulkarni, and Srinivas Chappidi, “TRUSTMEM: Learning trustworthy memory consolidation for LLM agents with long-term memory.” [Official PDF](https://arxiv.org/pdf/2606.25161v1).
- `papers/05-liu-2026-proactive-agents.pdf` — Xiaoze Liu, Ruowang Zhang, Amir H. Abdi, Michel Galley, Zhikai Chen, Siheng Xiong, Xiaoqian Wang, and Jing Gao, “Do proactive agents really need an LLM to decide when to wake and what to anchor?” [Official PDF](https://arxiv.org/pdf/2605.30152v1).
- `papers/06-liu-2026-pm-bench.pdf` — Genglin Liu and Saadia Gabriel, “PM-bench: Evaluating prospective memory in LLM agents.” [Official PDF](https://arxiv.org/pdf/2607.12385v1).
- `papers/07-su-2026-mistake-notebook-learning.pdf` — Xuanbo Su, Yingfang Zhang, Hao Luo, Xiaoteng Liu, and Leo Huang, “Mistake notebook learning: Batch-clustered failures for training-free agent adaptation.” [ACL Anthology PDF](https://aclanthology.org/2026.findings-acl.719.pdf).
- `papers/08-sumers-2024-cognitive-architectures.pdf` — Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas L. Griffiths, “Cognitive architectures for language agents.” [Official PDF](https://arxiv.org/pdf/2309.02427v3).
- `papers/09-luo-2026-storage-to-experience.pdf` — Jinghao Luo, Yuchen Tian, Chuxue Cao, Ziyang Luo, Hongzhan Lin, Kaixin Li, Chuyi Kong, Ruichao Yang, and Jing Ma, “From storage to experience: a survey on the evolution of LLM agent memory mechanisms.” [ACL Anthology PDF](https://aclanthology.org/2026.findings-acl.2069.pdf).
- `papers/11-yu-2026-agentic-memory.pdf` — Yi Yu, Liuyi Yao, Yuexiang Xie, Qingquan Tan, Jiaqi Feng, Yaliang Li, and Libing Wu, “Agentic memory: Learning unified long-term and short-term memory management for large language model agents.” [ACL Anthology PDF](https://aclanthology.org/2026.acl-long.981.pdf).
- `papers/16-chung-2026-insightemb.pdf` — Tsz Ting Chung, Jiangnan Li, Jie Zhou, and Mo Yu, “InsightEmb: Learning Action-Intent Embeddings for Agentic Insight Retrieval.” [Official PDF](https://arxiv.org/pdf/2608.04761v2).
- `papers/17-wu-2026-longmemeval-v2.pdf` — Di Wu, Zixiang Ji, Asmi Kawatkar, Bryan Kwan, Jia-Chen Gu, Nanyun Peng, and Kai-Wei Chang, “LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues.” [Official PDF](https://arxiv.org/pdf/2605.12493v1).

## CC BY-NC-SA 4.0

- `papers/10-hu-2026-continual-learning-to-memory.pdf` — Qisheng Hu, Quanyu Long, and Wenya Wang, “When continual learning moves to memory: a study of experience reuse in LLM agents.” [Official PDF](https://arxiv.org/pdf/2604.27003v1). Distributed for noncommercial scholarly reading under [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/). Adaptations, if any are made elsewhere, must follow that license's ShareAlike condition.

These licenses apply to the named papers, not to the reader code, editorial notes, metadata compilation, or repository as a whole. No endorsement by the authors or publishers is implied.