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Distribution of mRNAs encoding CRF receptors in brain and pituitary of rat and mouse

Van Pett, K., Viau, V., Bittencourt, J. C., Chan, R. K. W., Li, H.-Y., Arias, C., Prins, G. S., Perrin, M., Vale, W., & Sawchenko, P. E. (2000) · The Journal of Comparative Neurology

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

Episodic memory, semantic memory, and amnesia

Squire, L. R., & Zola, S. M. (1998) · Hippocampus

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

Opening the Black Box of Deep Neural Networks via Information

Shwartz-Ziv, R., & Tishby, N. (2017) · arXiv

Twenty Years of Debate with Stephen

Susskind, L. (2002) · arXiv

Design for Stream Restoration

Shields, F. D., Copeland, R. R., Klingeman, P. C., Doyle, M. W., & Simon, A. (2003) · Journal of Hydraulic Engineering

Islands in between : prehistory of the northeastern Indonesian archipelago

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

Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification

Kang, H., Ni, J., & Yao, H. (2023) · arXiv

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

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

The unreasonable effectiveness of deep features as a perceptual metric

Zhang, R., Isola, P., Efros, A. A., Shechtman, E., & Wang, O. (2018) · 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

ProofNet++: A Neuro-Symbolic System for Formal Proof Verification with Self-Correction

Ambati, M. (2025) · arXiv

Held-out evidence resolves follow-up measurement decisions in biological screens

Bi, J., Pinilla, S., & Zhu, C. (2026) · 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

Partitioning and first flush of metals in urban roadway storm water

Sansalone, J. J., & Buchberger, S. G. (1997) · Journal of Environmental Engineering

The Generalized Second Law implies a Quantum Singularity Theorem

Wall, A. C. (2010) · arXiv

Tianshou: a Highly Modularized Deep Reinforcement Learning Library

Weng, J., Chen, H., Yan, D., You, K., Duburcq, A., Zhang, M., Su, Y., Su, H., & Zhu, J. (2021) · 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

Personalized Adaptation via In-Context Preference Learning

Lau, A., Choi, Y., Balazadeh, V., Chidambaram, K., Syrgkanis, V., & Krishnan, R. G. (2024) · arXiv