% LRB v0.2 — bibliography. Shares many entries with RAB preprint
% (../rab-preprint/refs.bib) plus LRB-specific (TimeQA, TempReason,
% MuSiQue, 2WikiMultiHop, ALCE, TSQL bitemporal).

@misc{nakajima2026activegraph,
  title         = {The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic Systems},
  author        = {Nakajima, Yohei},
  year          = {2026},
  eprint        = {2605.21997},
  archivePrefix = {arXiv},
  primaryClass  = {cs.AI},
  url           = {https://arxiv.org/abs/2605.21997},
  note          = {Independent co-invention of the event-sourced log + deterministic replay architecture that JAMES also implements; LRB measures the retrieval quality of this architectural class.}
}

@misc{seo2026rab,
  title         = {RAB: A Replayable-Audit Benchmark for RAG and Agent Systems Operationalising EU AI Act Articles 10, 12, 19},
  author        = {Seo, Jiwon},
  year          = {2026},
  note          = {Sibling submission. v0.1.1 spec frozen; Zenodo DOI 10.5281/zenodo.20625533 (v0.4.3 software archive). LRB shares the pre-registration / deterministic scoring / gap-table-headline discipline.}
}

@inproceedings{trivedi2022musique,
  title         = {MuSiQue: Multihop Questions via Single-hop Question Composition},
  author        = {Trivedi, Harsh and Balasubramanian, Niranjan and Khot, Tushar and Sabharwal, Ashish},
  booktitle     = {Transactions of the Association for Computational Linguistics (TACL)},
  year          = {2022},
  note          = {Apache 2.0 licensed; LRB cross-bench reproducibility check uses MuSiQue-Ans dev split.}
}

@inproceedings{ho2020wikimultihop,
  title         = {Constructing a multi-hop QA dataset for comprehensive evaluation of reasoning steps},
  author        = {Ho, Xanh and Duong Nguyen, Anh-Khoa and Sugawara, Saku and Aizawa, Akiko},
  booktitle     = {Proceedings of the 28th International Conference on Computational Linguistics (COLING)},
  year          = {2020},
}

@inproceedings{gao2023alce,
  title         = {Enabling Large Language Models to Generate Text with Citations},
  author        = {Gao, Tianyu and Yen, Howard and Yu, Jiatong and Chen, Danqi},
  booktitle     = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year          = {2023},
  note          = {ALCE benchmark; HR axis inspired by ALCE's citation entailment formulation.}
}

@inproceedings{chen2021timeqa,
  title         = {A Dataset for Answering Time-Sensitive Questions},
  author        = {Chen, Wenhu and Wang, Xinyi and Wang, William Yang},
  booktitle     = {Advances in Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks},
  year          = {2021},
  url           = {https://github.com/wenhuchen/Time-Sensitive-QA},
  note          = {TimeQA; Track C primary temporal bench, measurement pending operator data download.}
}

@inproceedings{tan2023tempreason,
  title         = {Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models},
  author        = {Tan, Qingyu and Ng, Hwee Tou and Bing, Lidong},
  booktitle     = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)},
  year          = {2023},
  url           = {https://github.com/DAMO-NLP-SG/TempReason},
}

@inproceedings{chu2024timebench,
  title         = {TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models},
  author        = {Chu, Zheng and Chen, Jingchang and Chen, Qianglong and Yu, Weijiang and He, Tao and Wang, Haotian and Peng, Weihua and Liu, Ming and Qin, Bing and Liu, Ting},
  booktitle     = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL)},
  year          = {2024},
}

@article{snodgrass1995tsql,
  title         = {The {TSQL2 Temporal Query Language}},
  author        = {Snodgrass, Richard T.},
  journal       = {Kluwer Academic Publishers},
  year          = {1995},
  note          = {Bitemporal database foundation; LRB's (query\_time, valid\_time) pair mirrors the bitemporal axis.}
}

@misc{khatchadourian2026dfah,
  title         = {Replayable Financial Agents: A Determinism-Faithfulness Assurance Harness ({DFAH}) for Tool-Using {LLM} Agents},
  author        = {Khatchadourian, Raffi and others},
  year          = {2026},
  eprint        = {2601.15322},
  archivePrefix = {arXiv},
  primaryClass  = {cs.AI},
  url           = {https://arxiv.org/abs/2601.15322},
  note          = {DFAH (Determinism-Faithfulness Assurance Harness): behavioural determinism axis (decision determinism / trajectory determinism) over 4{,}700+ agentic runs on three financial benchmarks. Complementary to LRB's retrieval-quality axis: DFAH scores the agent's behavioural output reproducibility; LRB scores the retrieval system's lifecycle awareness. Both can fail independently.}
}

@misc{liu2019roberta,
  title         = {{RoBERTa}: A Robustly Optimized BERT Pretraining Approach},
  author        = {Liu, Yinhan and Ott, Myle and Goyal, Naman and Du, Jingfei and Joshi, Mandar and Chen, Danqi and Levy, Omer and Lewis, Mike and Zettlemoyer, Luke and Stoyanov, Veselin},
  year          = {2019},
  eprint        = {1907.11692},
  archivePrefix = {arXiv},
  note          = {RoBERTa-large-MNLI primary HR-axis verifier checkpoint.}
}

@misc{laurer2024deberta,
  title         = {{DeBERTa-v3-large-mnli-fever-anli-ling-wanli}},
  author        = {Laurer, Moritz},
  year          = {2024},
  howpublished = {HuggingFace model card},
  url          = {https://huggingface.co/MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli},
  note          = {Secondary HR-axis verifier checkpoint for cross-verifier agreement.}
}

@misc{jamesrepo,
  title         = {{JAMES}: A Local-First Auditable Knowledge Reasoning System},
  author        = {Seo, Jiwon},
  year          = {2026},
  howpublished = {GitHub},
  url           = {https://github.com/Hashevolution/James-RAG-Evol},
  note          = {Reference implementation of the audit-native SUT measured in this paper.}
}
