The paper introduces CoDeR, a new paradigm for world modeling that explicitly builds an executable world using code rather than relying solely on visual observations. CoDeR translates high‑level concepts into structured world rules, executable dynamics, and perceptual observations through five complementary roles, enabling long‑term memory, open‑ended interactions, autonomous world evolution, and persistent multi‑agent dynamics. Experiments show that this framework extends the capabilities of existing world models and achieves state‑of‑the‑art performance across multiple evaluation settings.
By Zixun Fang, Yawen Shao, Kai Zhu, Jie Xiao, Shihan Chen, Yu Liu, Xueyang Fu, Yang Cao, Wei Zhai, Zheng-Jun Zha
HARMONY is a hierarchical chain-of-thought framework that reconstructs complete 3D indoor scenes from a single monocular image. It combines agentic reasoning with visual geometry foundation models, starting with camera calibration and semantic layout recovery, then placing objects hierarchically while refining geometry with point cloud estimations. The method achieves semantically consistent scenes that align perceptually with the input image, outperforming existing baselines on synthetic and real-world data.
By Shufan Sun, Chen Wang, Enxin Song, Jiatao Gu, Lingjie Liu
The paper introduces NPLSD, a pair of line‑segment detectors optimized for the Neural‑ART NPU on STM32N6 microcontrollers. NPLSD‑H retains a convolutional backbone and replaces transformer components with a fully‑convolutional head, while NPLSD‑M adapts a lightweight trunk to the NPU’s supported operators. Trained on ImageNet and ShanghaiTech Wireframe, the models achieve competitive accuracy with 2.63 M and 0.62 M parameters, respectively, and ablation studies show initialization contributes significantly to performance.
By Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hassan Najafi
arXiv:2602.01163v2 Announce Type: replace
Abstract: Safe UAV emergency landing requires more than just identifying flat terrain; it demands understanding complex semantic risks (e.g., crowds, tempora...
By Chunliang Hua, Lei Zhang, Jiayang Sun, Chunlan Zeng, Xiao Hu
arXiv:2603.17043v2 Announce Type: replace
Abstract: Physics-aware multimodal large language models (MLLMs) can localize and characterize two-dimensional (2D) material flakes from optical microscopy i...
By Sankalp Pandey, Thanh-Dat Truong, Xuan-Bac Nguyen, Hoang-Quan Nguyen, Tim Faltermeier, Nicholas Borys, Hugh Churchill, Khoa Luu
arXiv:2609.22408v1 Announce Type: new
Abstract: AI systems are becoming participants in the evaluation and use of scientific research. They encounter citation counts, download statistics and lists of...
By Maxim Chupilkin
arXiv:2609.22497v1 Announce Type: new
Abstract: The aggregation of many lay estimates often outperforms individual expert judgment, a phenomenon known as the wisdom of crowds. While this is usually a...
By Federico Barrera-Lemarchand, Mariano Sigman, Joaquin Navajas
arXiv:2609.22691v1 Announce Type: new
Abstract: An enduring and richly elaborated dichotomy in cognitive neuroscience is that of human behavior control mechanisms, divided into habitual versus goal-d...
By Chongyu Bao, Haokai Yang, Yuhan Wang, Zhaochong An, Kunpeng Liu, Xiaolan Liu
arXiv:2609.22746v1 Announce Type: new
Abstract: Large Language Models (LLMs) have recently been introduced into traffic signal control (TSC) as decision agents due to their strengths in human-readabl...
By Huaitao Zhao, Tianlong Zhou, Weijie Wang, Jiasheng Shi, Weixiong Rao
arXiv:2609.22910v1 Announce Type: new
Abstract: Vision-language agents that crop and zoom are trained with rewards that credit a successful tool call, yet a successful call does not show that the mod...
By Kunyu Peng, Junming Liu, Ruiqi He, Qingzhuo Wang, Jianzhong Qi, Xianhui Liu
arXiv:2609.23058v1 Announce Type: new
Abstract: Current agent runtimes that plan before acting generally execute a step once it becomes ready. We present LazyAgent, a unified execution framework for...
By Xin Heng
arXiv:2609.23064v1 Announce Type: new
Abstract: Understanding the physical world requires more than object recognition, scene description, and short-term visual prediction, as real-world physical sys...
By Qiang Chen, Hao Guo, Huatai Zhu, Tairan Huang, Yichao Cao, Hongyan Xu, Keke Huang, Haifeng Li, Yi Chen, Xiu Su
arXiv:2609.23130v1 Announce Type: new
Abstract: Large language model (LLM) inference is evolving from an engine-local optimization problem into a distributed control problem involving reusable state,...
By Twinkll Sisodia
arXiv:2609.23142v1 Announce Type: new
Abstract: Building gameplay features in a game engine requires more than code, as code that compiles and runs does not necessarily implement the requested gamepl...
By Shutong Wu, Kevin Calderone, Andy Tsen
arXiv:2609.23695v1 Announce Type: new
Abstract: Recent advances in Physical AI have accelerated the use of foundation models in autonomous systems such as unmanned aerial vehicles (UAVs), which must...
By Mohamed Amine Ferrag, Merouane Debbah, Abderrahmane Lakas, Manu Perumkunnil, Norbert Tihanyi
arXiv:2609.23806v1 Announce Type: new
Abstract: Many knowledge-work benchmarks are constructed around individual tasks, with the context needed for each task selected together with or after the task...
By Yining Hua, Levi Lian
arXiv:2609.23974v1 Announce Type: new
Abstract: Foundation models are endowing autonomous systems with greater intelligence, enabling a more comprehensive understanding of the environment through vis...
By Boxun Hu, Jiawei Ge, Axel Krieger, Peng Wang, Tinoosh Mohsenin
arXiv:2609.23989v1 Announce Type: new
Abstract: Building general-purpose agents for industrial deployment requires integrating multiple capabilities, each typically acquired at a distinct stage of tr...
By Haixin Wang, Xiaoxuan Wang, Junkai Zhang, Han Zhang, Renliang Sun, Alexander K Taylor, Yidan Shi, Haoran Deng, Chenguang Wang, Jason Cong, Yizhou Sun, Wei Wang
arXiv:2609.24036v1 Announce Type: new
Abstract: This paper presents an LLM-based system that translates natural-language access control policies (NLACPs) into executable Rego code for Open Policy Age...
By Vatsal Gupta, Darshan Sreenivasamurthy
arXiv:2609.24165v1 Announce Type: new
Abstract: Synchrotron data reduction, detector calibration followed by azimuthal integration of terabyte-scale diffraction series, is a multi-step, expert-bound...
By Pawan K. Tripathi, Hemant Sharma, Andrew Chuang, Mathew J. Cherukara