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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

Sampling of Structure and Sequence Space of Small Protein Folds

Linsky, T., Noble, K., Tobin, A., Crow, R., Carter, L., Urbauer, J., Baker, D., & Strauch, E. (2021)

LabQAR (Lab oratory Q uestion A nswering with R eference Ranges) Data Set

bhasuran, B., & He, Z. (2026) · figshare

Assessment of Cd, Cr and Pb Pollution in Sediment and Water of Gheshlagh River, Iran, in September 2013

Majnoni, F., Alipour, H., Hassanpour, M., Banagar, G., & Ajorlo, M. (2015) · Unpublished

Retrieval-Augmented Generation with Conflicting Evidence

Wang, H., Prasad, A., Stengel-Eskin, E., & Bansal, M. (2025) · arXiv

Replication data for: What Can Machines Learn, and What Does It Mean for Occupations and the Economy?

Brynjolfsson, E., Mitchell, T., & Rock, D. (2018) · ICPSR - Interuniversity Consortium for Political and Social Research

Fredholm Operators and Spectral Flow

Waterstraat, N. (2016) · arXiv

Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data

Yuan, H., Chan, S., Creagh, A. P., Tong, C., Acquah, A., Clifton, D. A., & Doherty, A. (2022) · arXiv

Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks

Shi, Y., Chi, M., Barnes, T., & Price, T. (2022) · arXiv

Intercellular signaling dynamics from a single cell atlas of the biomaterials response

Cherry, C., Maestas, D. R., Han, J., Andorko, J. I., Cahan, P., Fertig, E. J., Garmire, L. X., & Elisseeff, J. H. (2020)

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems

Ye, R., Tang, S., Ge, R., Du, Y., Yin, Z., Chen, S., & Shao, J. (2025) · arXiv

Subliminal Learning: Language models transmit behavioral traits via hidden signals in data

Cloud, A., Le, M., Chua, J., Betley, J., Sztyber-Betley, A., Hilton, J., Marks, S., & Evans, O. (2025) · arXiv

Agentic Retrieval-Augmented Generation for Time Series Analysis

Ravuru, C., Sakhinana, S. S., & Runkana, V. (2024) · arXiv

2. Vouloir pour la nature. La représentation juridique des entités naturelles

Brunet, P. (2019) · GISI - UniTO

Islands in between : prehistory of the northeastern Indonesian archipelago

Tanudirjo, D. A. (2001) · The Australian National University

READU: Inconsistency-Driven Just-in-Time Detection and Repair of README Bugs

Baek, D., Krampf, K., & Pradel, M. (2026) · arXiv

Editable Neural Networks

Sinitsin, A., Plokhotnyuk, V., Pyrkin, D., Popov, S., & Babenko, A. (2020) · arXiv

An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Ouyang, S., Zhang, J. M., Harman, M., & Wang, M. (2023) · arXiv

DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs

Cattan, A., Jacovi, A., Ram, O., Herzig, J., Aharoni, R., Goldshtein, S., Ofek, E., Szpektor, I., & Caciularu, A. (2025) · arXiv

The Generalized Second Law implies a Quantum Singularity Theorem

Wall, A. C. (2010) · arXiv

Filtered canopy top height estimates from GEDI LIDAR waveforms for 2019 and 2020

Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, R., & Wegner, J. D. (2023) · Zenodo

El reto del espacio andino

Dollfus, O. (1981) · The University of Texas at Austin

On the Planning Abilities of Large Language Models - A Critical Investigation

Valmeekam, K., Marquez, M., Sreedharan, S., & Kambhampati, S. (2023) · arXiv

BiBERT: Accurate Fully Binarized BERT

Qin, H., Ding, Y., Zhang, M., Yan, Q., Liu, A., Dang, Q., Liu, Z., & Liu, X. (2022) · arXiv