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

Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning

Rupp, F., Eberhardinger, M., & Eckert, K. (2025) · arXiv

Is Luke the Author of a Gospel and the Acts of the Apostles?

Savoy, J. (2026) · arXiv

PremiseSQL: Evaluating Premise Critique and Abstention in Text-to-SQL Systems

Lin, S., Li, J., Guo, C., Li, Y., Wu, Y., & Chang, Y. (2026) · arXiv

Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs

Wei, F., Ehrhart, T., & Troncy, R. (2026) · arXiv

A necrópole da gruta da Verdelha dos Ruivos (Vila Franca de Xira) e a génese do Complexo Campaniforme na região da foz do Tejo (Portugal)

CARDOSO, J. L., LEITÃO, M., FERREIRA, O. D. V., ZBYSZEWSKI, G., NORTH, C. T., & NORTON, J. (2024) · Câmara Municipal de Oeiras

The opportunities and risks of large language models in mental health

Lawrence, H. R., Schneider, R. A., Rubin, S. B., Mataric, M. J., McDuff, D. J., & Bell, M. J. (2024) · arXiv

Sampling Many Pots: An Archaeology of Memory and Tradition at a Bahamian Plantation

Wilkie, L. A., & Farnsworth, P. (2005) · University of Massachusetts Amherst

Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models

Lopez-Lira, A., & Tang, Y. (2023)

Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Barak, B., Edelman, B. L., Goel, S., Kakade, S., Malach, E., & Zhang, C. (2022) · arXiv

Few-Shot In-Context Imitation Learning via Implicit Graph Alignment

Vosylius, V., & Johns, E. (2023) · arXiv

The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering

Li, H., Zhang, H., & Hassan, A. E. (2025) · arXiv

Output Length Effect on DeepSeek-R1's Safety in Forced Thinking

Li, X., Li, Z., Kosuga, Y., & Bian, V. (2025) · arXiv

Narratives of Return : The Contemporary Caribbean Woman Writer and the Quest for Home.

Thompson, R. G. (2015) · Goldsmiths, University of London

E3VS-Bench: A Benchmark for Viewpoint-Dependent Active Perception in 3D Gaussian Splatting Scenes

Sakamoto, K., Miyanishi, T., Azuma, D., Kurita, S., Morikuni, S., Chiba, N., Kawanabe, M., Iwasawa, Y., & Matsuo, Y. (2026) · arXiv

Telomeric 8-Oxoguanine Drives Rapid Premature Senescence In The Absence Of Telomere Shortening

Barnes, R. P., de Rosa, M., Thosar, S. A., Detwiler, A. C., Roginskaya, V., Van Houten, B., Bruchez, M. P., Stewart-Ornstein, J., & Opresko, P. L. (2021)

Learning to Generate Long-term Future via Hierarchical Prediction

Villegas, R., Yang, J., Zou, Y., Sohn, S., Lin, X., & Lee, H. (2017) · arXiv

When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors

Emmons, S., Jenner, E., Elson, D. K., Saurous, R. A., Rajamanoharan, S., Chen, H., Shafkat, I., & Shah, R. (2025) · arXiv

Search-Time Data Contamination

Han, Z., Mankikar, M., Michael, J., & Wang, Z. (2025) · arXiv

Constructing Fast Network through Deconstruction of Convolution

Jeon, Y., & Kim, J. (2018) · arXiv

Loss Minimization Yields Multicalibration for Large Neural Networks

Błasiok, J., Gopalan, P., Hu, L., Kalai, A. T., & Nakkiran, P. (2023) · arXiv

Whose Facts Win? LLM Source Preferences under Knowledge Conflicts

Schuster, J., Gautam, V., & Markert, K. (2026) · arXiv

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Ribeiro, M. T., Singh, S., & Guestrin, C. (2016) · arXiv

MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents

Zhu, K., Du, H., Hong, Z., Yang, X., Guo, S., Wang, Z., Wang, Z., Qian, C., Tang, X., Ji, H., et al. (2025) · arXiv

Technically Love: The Evolution of Human-AI Romance Discourse on Reddit

Chang, T., Huh-Yoo, J., & Razi, A. (2026) · arXiv