Author Correction: Biophysical prediction of protein–peptide interactions and signaling networks using machine learning
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Compositional Literary Primitives in Instruction-Tuned LLMs: Cross-Architectural SAE Features for Self, Style, and Affect
arXiv:2605.18808v1 Announce Type: cross Abstract: We characterize a compositional architecture of literary primitives in two instruction-tuned large language models (Llama…
RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades
arXiv:2605.15846v2 Announce Type: replace-cross Abstract: Coding agents are increasingly deployed in real software development, where a single version iteration requires…
KappaPlace: Learning Hyperspherical Uncertainty for Visual Place Recognition via Prototype-Anchored Supervision
arXiv:2605.19435v1 Announce Type: cross Abstract: Visual Place Recognition (VPR) is critical for autonomous navigation, yet state-of-the-art methods lack well-calibrated uncertainty…
Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
arXiv:2605.18740v2 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) still struggle with fine-grained visual understanding, where answers often depend…
MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems
arXiv:2605.18565v2 Announce Type: replace-cross Abstract: Real-world agents operate over long and evolving horizons, where information is repeatedly updated and may…
Metric-Gradient Projection for Stable Multi-Agent Policy Learning
arXiv:2605.18809v1 Announce Type: cross Abstract: General-sum multi-agent learning is often governed by a stacked update field in which each agent’s…
Nested Spatio-Temporal Time Series Forecasting
arXiv:2605.16447v2 Announce Type: replace-cross Abstract: Spatiotemporal forecasting is critical for real-world applications like traffic management, yet capturing reliable interactions remains…
Bridging Silicon and the Hippocampus: Algebro-Deterministic Memory “VaCoAl” as a Substrate for Vector-HaSH and TEM
arXiv:2605.15652v2 Announce Type: replace-cross Abstract: Vector-HaSH and the Tolman-Eichenbaum Machine propose the hippocampal-entorhinal circuit factorizes content from a grid-cell scaffold,…
BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting
arXiv:2605.17937v1 Announce Type: cross Abstract: Quantitative backtesting is essential for evaluating trading strategies but remains hampered by high technical barriers…