Check a paper's citations and claims before you cite it.

Fault-tolerant quantum computation by anyons

Kitaev, A. Y. (1997) · arXiv

CodeUpdateArena: Benchmarking Knowledge Editing on API Updates

Liu, Z. L., Pandit, S., Ye, X., Choi, E., & Durrett, G. (2024) · arXiv

Cross-country dataset C19 ISWS

Buffel, V., & Van De Velde, S. (2022) · Zenodo

LAraBench: Benchmarking Arabic AI with Large Language Models

Abdelali, A., Mubarak, H., Chowdhury, S. A., Hasanain, M., Mousi, B., Boughorbel, S., Kheir, Y. E., Izham, D., Dalvi, F., Hawasly, M., et al. (2023) · arXiv

Khondo: A Multimodal Benchmark for Document Packet Splitting of Bangla Forms

Azad, A. T., Ahmed, F., Apan, I. S., Jubaer, E., Katha, S. K., Alam, A., Ali, A. A., Chadha, A., Islam, M. M., & Rahman, A. M. (2026) · arXiv

WhyGen: explaining ML-powered code generation by referring to training examples

Yan, W., & Li, Y. (2022) · arXiv

Indexing consistency in Information Science Abstracts

Sievert, M. C., & Andrews, M. J. (1991) · Journal of the American Society for Information Science

Generative AI in Game Development: A Qualitative Research Synthesis

Ternar, A., Denisova, A., Cunha, J. M., Kultima, A., & Guckelsberger, C. (2025) · arXiv

Assessing the potential for bias in meta-analysis due to selective reporting of subgroup analyses within studies

Hahn, S., Williamson, P. R., Hutton, J. L., Garner, P., & Flynn, E. V. (2000) · Statistics in Medicine

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Cheng, Z., Leng, S., Zhang, H., Xin, Y., Li, X., Chen, G., Zhu, Y., Zhang, W., Luo, Z., Zhao, D., et al. (2024) · arXiv

A Right to Reasonable Inferences

Wachter, S., & Mittelstadt, B. (2019) · Columbia Business Law Review

Are Reasoning Models More Prone to Hallucination?

Yao, Z., Liu, Y., Chen, Y., Chen, J., Fang, J., Hou, L., Li, J., & Chua, T.-S. (2025) · arXiv

Charles Dickens and the Critique of Victorian Society: Literature as a Catalyst for Social Reform

Padra, D. B. (2024) · The Criterion

A survey on measuring indirect discrimination in machine learning

Zliobaite, I. (2015) · arXiv

Effective Reward Specification in Deep Reinforcement Learning

Roy, J. (2024) · arXiv

Time travel for knowledge graphs: live queries over RDF change histories

Massari, A., & Peroni, S. (2022) · arXiv

Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes

Shamir, O., & Zhang, T. (2012) · arXiv

The ICF

Eadie, T. L. (2003) · American Journal of Speech-Language Pathology

Substrate-Portable Execution for Production LLM Workflows

Gopinath, T., Kulkarni, A., Rajakumar, V., Katti, S., & Govindarajen, P. (2026) · arXiv

Fairness in Serving Large Language Models

Sheng, Y., Cao, S., Li, D., Zhu, B., Li, Z., Zhuo, D., Gonzalez, J. E., & Stoica, I. (2024) · arXiv

Towards a Framework for Assessing the Impact of Cadastral Development on Land Rights-Holders

Hull, S., & Whittal, J. (2016) · figshare

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

Qian, H., Liu, Z., Zhang, P., Mao, K., Lian, D., Dou, Z., & Huang, T. (2024) · arXiv

Ai2 Scholar QA: Organized Literature Synthesis with Attribution

Singh, A., Chang, J. C., Anastasiades, C., Haddad, D., Naik, A., Tanaka, A., Zamarron, A., Nguyen, C., Hwang, J. D., Dunkleberger, J., et al. (2025) · arXiv

WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation

Ding, S., Dai, X., Xing, L., Ding, S., Liu, Z., JingYi, Y., Yang, P., Zhang, Z., Wei, X., Fang, X., et al. (2026) · arXiv