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

Reproducibility is not construct validity: LLM measurement of institutionally situated communication

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Valdez, F. (2023) · Zenodo

LOGAN: Latent Optimisation for Generative Adversarial Networks

Wu, Y., Donahue, J., Balduzzi, D., Simonyan, K., & Lillicrap, T. (2019) · arXiv

Can the Problem-Solving Benefits of Quality Diversity Be Obtained Without Explicit Diversity Maintenance?

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Reinforcement Twinning via Twin-Calibrated Bayesian Policy Search and Replay-Driven Identification

Mendez, M. A., Schena, L., Poletti, R., Lecomte, Y., Randino, S., & Berghe, J. V. D. (2026) · arXiv

Neural Controlled Differential Equations for Irregular Time Series

Kidger, P., Morrill, J., Foster, J., & Lyons, T. (2020) · arXiv

Code-Augur: Agentic Vulnerability Detection via Specification Inference

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Automatic tagging using deep convolutional neural networks

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Should I Get Involved? On the Privacy Perils of Mining Software Repositories for Research Participants

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Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments

Zheng, T., Deng, W., & Hu, J. (2017) · arXiv

Social Status and Anti-Immigrant Attitudes in Europe: An Examination from the Perspective of Social Dominance Theory

Küpper, B., Wolf, C., & Zick, A. (2010) · International Journal of Conflict and Violence (IJCV)

CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments

Huang, K.-H., Prabhakar, A., Dhawan, S., Mao, Y., Wang, H., Savarese, S., Xiong, C., Laban, P., & Wu, C.-S. (2024) · arXiv

Redefining accountability: navigating legal challenges of participant liability in decentralized autonomous organizations

Napieralska, A., & Kępczyński, P. (2024) · arXiv

Information Seeking for Robust Decision Making under Partial Observability

Fang, D. C.-J., & Ke, T.-W. (2025) · arXiv

The SmartSHARK Ecosystem for Software Repository Mining

Trautsch, A., Trautsch, F., Herbold, S., Ledel, B., & Grabowski, J. (2020) · arXiv

Are we measuring trust correctly in explainability, interpretability, and transparency research?

Miller, T. (2022) · arXiv

MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition

Zhang, H., Zhuang, Z., Wang, X., Yang, X., & Zhang, Y. (2025) · arXiv

Ultra-Sparse Memory Network

Huang, Z., Min, Q., Huang, H., Zhu, D., Zeng, Y., Guo, R., & Zhou, X. (2024) · arXiv

Deep ViT Features as Dense Visual Descriptors

Amir, S., Gandelsman, Y., Bagon, S., & Dekel, T. (2021) · arXiv

When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI

Epstein, Z., Schroeder, H., & Newman, D. (2022) · arXiv

Decision Transformer: Reinforcement Learning via Sequence Modeling

Chen, L., Lu, K., Rajeswaran, A., Lee, K., Grover, A., Laskin, M., Abbeel, P., Srinivas, A., & Mordatch, I. (2021) · arXiv

Quark and Gluon Contents of a Lepton at High Energies

Han, T., Ma, Y., & Xie, K. (2021) · arXiv

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models

Yang, T., Shen, Z., Mi, Z., Zhang, Z., Zhou, J., Ji, J., Dai, J., Chen, J., Chen, B., & Yang, Y. (2026) · arXiv

An active inference ontology for decentralized science: from situated sensemaking to the epistemic commons

Friedman, D., Applegate-Swanson, S., Balbuena, J. A., Choudhury, A., Cordes, R., El Damaty, S., Guénin—Carlut, A., Knight, V. B., Metelkin, I., Shrivastava, S., et al. (2022) · Zenodo