Ax Sergey Volkov, Yang Li, Ye Luo 7/8/2026

StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems

StateFuse conflict-aware memory layer for multi-agent systems preserving disagreement across branches and retries.

Ax Hyungseok Song, Junseok Park, Won-Seok Choi, Seohui Bae, Han-Seul Jeong, Youngjoon Park, Soonyoung Lee 7/8/2026

PCBWorld: A Benchmark Environment for Engine-Grounded PCB Design Automation

PCBWorld open-source benchmark environment for learning-based PCB routing agents using KiCad engine integration.

Ax Zhengbo Jiao, Yiming Cheng, Yilei Jiang, Kaituo Feng, Rui Huang, Tianyi Jiang, Juanxi Tian, Jiapeng li, Qunzhong Wang, Tailai Chen, Qianshan Wei, Chuan Xiao, Shanyu Rong, Yangfu Li, Yanhan Zhou, Yunpu Ma, Yifan Zhang, Xiangyu Yue 7/8/2026

SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation

SearchEyes multimodal search agent framework using typed knowledge graphs and world simulation for multi-hop reasoning.

Ax Adam Faci, Alessio Miaschi, Anne Combe, Pascal Cuxac, Francesca Frontini, Nicolas Larrousse, St\'ephane Pouyllau 7/8/2026

Integrating knowledge graphs and multilingual scholarly corpora for domain-adaptive LLMs in SSH

Integration approach combining knowledge graphs and multilingual corpora for domain-adaptive LLMs in social sciences and humanities.

Ax Niels Potters, Theo Hofman 7/8/2026

Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation

Black-box evaluation framework assessing LLM ability to generate Design Structure Matrices from technical documentation.

Ax Chung-Chi Chen 7/8/2026

AgoraSim: A Hybrid Agent-Based Modeling Framework

AgoraSim hybrid framework combining LLM agents with traditional agent-based modeling for social scenario analysis.

Ax Cheng Qian 7/8/2026

Information Limits and Attractor Dynamics in Economies of Frontier LLM Agents: A Pre-Registered Test

Pre-registered experiment testing information-theoretic predictions on multi-agent economies with frontier LLM agents.

Ax Hongliang Li, Yijin Liu, Zhiwei Zhang, Zihe Liu, Xinyue Lou, Jinan Xu, Fandong Meng, Kaiyu Huang 7/8/2026

PolyWorkBench: Benchmarking Multilingual Long-Horizon LLM Agents

PolyWorkBench benchmark for evaluating LLM agents on long-horizon tasks requiring multilingual planning and tool use.

Ax Manish Kolachalam, Rani Malhotra 7/8/2026

Reward-Density Heuristic for Dynamic Multi-Vehicle Routing: Performance and Computational Efficiency

Heuristic approach for dynamic multi-vehicle routing optimization balancing reward maximization and computational efficiency.

Ax Ilya E. Monosov 7/8/2026

A toy framework for single and multi-agent human-AI curiosity ecosystems

Toy framework modeling curiosity as ecosystem with adjustable weights for uncertainty reduction, costs, and delayed returns.

Ax Yijun Zhang, Fan Xu, Jiaxin Ding, Yule Xie, Shiqing Gao, Xin Ding, Haoxiang Zhang, Luoyi Fu, Xinbing Wang 7/8/2026

Information Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn LLM Agents

Information gain-based adaptive tree-structured rollout optimization for multi-turn LLM agents on long-horizon tasks.

Ax Ziting Wang, Yin Li, Zuhao Yang, Xiuchang Li, Jiale Bai, Gao Cong 7/8/2026

Demonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale

TOFFEE system for synthesizing high-quality data agent trajectories at scale for heterogeneous enterprise environments.

Ax Heting Mao 7/8/2026

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution

Theoretical framework for embedding application-layer cognitive protocols into native LLM meta-architecture via structural mechanisms.

Ax Yanping Chen, Weijie Shi, Wen Yang, Jiajie Xu 7/8/2026

Task Decomposition-Guided Reranking for Adaptive Agent Skill Retrieval

Task decomposition-guided reranking method for improved skill selection in agent systems with large skill libraries.

Ax He Liu, Changtao Miao, Xinjie Yang, Tianle Song, Yin Wu, Junchi Chen, Bintao He, Xinyuan Zhang, Bo Zhang, Shi Yan, Wei Lu, Wei Wang, Danyang Xu, Jiansheng Cai, Zhe Li 7/8/2026

DT-Guard: Intent-Driven Reasoning-Active Training for Reasoning-Free LLM Safety Guardrail

LLM safety guardrail using intent-driven reasoning to balance efficiency and robustness against complex safety risks.

Ax Franz Motzkus, Sebastian Bernhard 7/8/2026

Driving the Wrong Way: Leveraging Interpretability in End2End Autonomous Driving Models

Post-hoc interpretability module using dictionary learning to decompose autonomous driving model behavior into semantic concepts.

Ax Xiachong Lin, Du Yin, Arian Prabowo, Hao Xue, Wen Hu, Imran Razzak, Matthew Amos, Sam Behrens, Flora D. Salim 7/8/2026

TopoBrick: Agentic Topology Sampling of Exogenous Variables for Zero-Shot Building IoT Forecasting

Training-free framework using agentic topology sampling and knowledge graphs for zero-shot IoT forecasting in building sensor networks.

Ax Marcelo Arenas, Pablo Barcel\'o, Diego Bustamante, Jose Caraball, Mar\'ia Alejandra Schild, Bernardo Subercaseaux 7/8/2026

ExplAIner: A Declarative Query Language for Explaining Classification Models

ExplAIner declarative query language for specifying and analyzing model explanation methods uniformly across classification models.

Ax Yufan Wang, Anit Kumar Sahu, Yan Fei Ng, Daniel Kang, Shayan Vassef, Soorya Ram Shimgekar, Koustuv Saha, Piyum Zonooz, Navin Kumar, Chee Leong Cheng, Li Yan Khor 7/8/2026

Finding H. pylori in the Fine Print: Evidence-Linked Multi-Agent Case Finding from Gastric Biopsy Reports

Multi-agent LLM system extracts H. pylori infection evidence from medical reports across heterogeneous structured and free-text fields.

Ax Jihao Liu, Guoxiong Gao, Zeming Sun, Bin Wu, Shurui Liu, Jiedong Jiang, Haocheng Ju, Leheng Chen, Ronnie Cheng, Xiping Zhang, Bin Dong 7/8/2026

Danus: Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory

Danus system orchestrates LLM-based mathematical reasoning agents using fact-graph memory for research-level problem solving.

Ax Marcos Eduardo Cruz Victorio, Karl Mason 7/8/2026

Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms

Multi-agent deep reinforcement learning system for battery management optimization in dairy farm renewable energy integration.

Ax Kai Ruan, Zihe Huang, Ziqi Zhou, Qianshan Wei, Xuan Wang, Hao Sun 7/8/2026

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade

Method to predict LLM agent failures early using probe cascades on hidden activations to avoid wasted compute in multi-step tasks.

Ax Qian Sun, Yong-Ming Tian, Jia-Wei Huang, Cheng Feng, Shao-Qun Zhang 7/8/2026

RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models

Large-scale multivariate time series dataset for training foundation models on real-world data rather than synthetic datasets.

Ax Chase McDonald, Nathan Tsang, Wesley N. Kerr 7/8/2026

FootsiesGym: A Fighting Game Benchmark for Two-Player Zero-Sum Imperfect-Information Games

FootsiesGym: open-source benchmark environment for two-player zero-sum imperfect-information games with vectorized simulator for efficient training.

Ax Anna C\'ordoba, Adam Puente Tercero, Nerea Angulo Hijo, Mar Linares Tercero, Julia Barrientos, Ainhoa Miranda, Jes\'us Olivera 7/8/2026

FreqDepthKV: Frequency-Guided Depth Sharing for Robust KV Cache Compression in Long-Context LLM Inference

FreqDepthKV: frequency-guided cache compression factorizing KV states into shared low-frequency and sparse high-frequency components for long-context inference.

Ax Han-Jun Ko, Jr-Jen Chen, Haobo Yuan, Hsin-Ying Lee, Tiancheng Shen, Ming-Hsuan Yang, Yu-Chiang Frank Wang 7/8/2026

Bridging Physical Reasoning and Task Generalization via Visual Action Outcome Reasoning Alignment

VAORA: reward design for vision-language models to improve physical reasoning and align internal reasoning with actions in interactive tasks.

Ax Anna Cordoba, Adam Puente Tercero, Nerea Angulo Hijo, Mar Linares Tercero, Julia Barrientos, Ainhoa Miranda, Jesus Olivera 7/8/2026

DepthWeave-KV: Token-Adaptive Cross-Layer Residual Factorization for Long-Context KV Cache Compression

DepthWeave-KV: token-adaptive KV cache compression across transformer layers using residual factorization for long-context inference.

Ax Aparna Madva, Sharath Srivatsa, Srinath Srinivasa, Tulika Saha 7/8/2026

Rethinking Indic AI from a Lens of Cultural Heritage Preservation

Examines AI's impact on linguistic and cultural preservation in Indian subcontinent, viewing AI as double-edged for inclusion vs. homogenization.

Ax Igor Santos-Grueiro 7/8/2026

Lingering Authority: Revocable Resource-and-Effect Capabilities for Coding Agents

PORTICO: reference monitor for revocable capabilities in coding agents, compiling task contracts into initial capabilities and closure predicates.

Ax James Rhodes, George Kang 7/8/2026

Proof of Execution: Runtime Verification for Governed AI Agent Actions

Runtime verification framework for AI agent actions: formalizes authorization, tamper-evidence, and deterministic reconstruction of agent trajectories.

Ax Nikita Agrawal, Ruben Mayer 7/8/2026

Benchmarking KV-Cache Optimizations across Task Quality and System Performance for Long-Context Serving

Benchmark comparing KV-cache optimization techniques (quantization, pruning, merging) across models, tasks, and serving stacks for long-context LLM inference.

Ax Fan Huang 7/8/2026

Catalyst Papers in Artificial Intelligence Research: A Landscape on ICLR from 2017 to 2025

Analyzes ICLR papers 2017-2025 to identify trajectory-changing methodological contributions using public reviewer scores and decisions.

Ax Vasudha Varadarajan, Akhila Yerukola, Mona T. Diab, Maarten Sap 7/8/2026

CCBENCH: Assessing LLM Cultural Competence via Implicitly Signaled Norms using Health Queries

CCBENCH: benchmark evaluating LLM cultural competency by assessing adaptation to implicitly signaled cultural norms in health queries.

Ax Yukyeong Song, Seoyeon Choi, Jinhee Kim, Yeongje Kim, Lauren Weisberg, Jewoong Moon 7/8/2026

A Guiding Framework for K-12 Teachers in Creating AI-powered Learning Technologies through Vibe Coding

GAIDE framework enabling K-12 teachers to create AI-powered learning tech via vibe coding with LLMs, supporting teachers as designers.

Ax Muntasir Hoq, Griffin Pitts, Zhangqi Duan, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Andrew Lan, Peter Brusilovsky, Bita Akram 7/8/2026

Automated Recommendation of Programming Learning Content Using Pattern-based Knowledge Components

Uses pattern-based knowledge components to automatically recommend programming learning resources, reducing need for expert curation.

Ax Dexter Hadley 7/8/2026

CANONIC: Governance Is Compilation

CANONIC: system that applies compiler-like governance to LLM-generated content, using formal grammars to admit/reject artifacts into evidence ledgers at scale.

Ax Leandro D. Carneiro, Andre L. S. Meirelles, Juliano de A. Gomes, Rafael C. A. Cabral 7/8/2026

CHARLIE: An On-Premise Multi-Agent Retrieval-Augmented Generation System for Evidential Reasoning in Forensic Science

CHARLIE: on-premise multi-agent RAG system for structured evidential reasoning in digital forensics with traceability and compliance requirements.

Ax Xue Li, Yiming Gai 7/8/2026

Modality Relevance is not Modality Utility: Post-hoc Selective Modality Escalation for Cost-Aware Multimodal RAG

Multimodal RAG system using post-hoc selective modality escalation to balance cost and utility by adaptively invoking vision-language models.

Ax Lorenzo Molfetta, Giacomo Frisoni, Nicol\`o Monaldini, Gianluca Moro 7/8/2026

PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models

PORTS: preference-optimized retrieval method for tool selection in LLM agents. Aligns retrievers with tool-calling LLMs through joint training.

Ax Nishan Pantha, Pranath Reddy Kumbam, Sajil Awale, Pushwitha Krishnappa, Muthukumaran Ramasubramanian, Nidhi Jha, Emily Foshee, Ankur Kumar, Rachel Slank, Ashkbiz Danehkar, Rahul Ramachandran 7/8/2026

Scientific Code Search at Scale: A Multi-Domain Dataset and Benchmark

Multi-domain scientific code search benchmark with 5,264 curated repositories across scientific computing domains to evaluate code discovery tools.

Ax Haiwen Yi, Xinyuan Song 7/8/2026

Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning

Offline RL approach to learn control policies for LLM agent execution harnesses. Formalizes harness operation as finite-horizon MDP with frozen LLM executor.

Ax Edwin H. Wintermute, Harmon Bhasin, Christina M. Agapakis, Dianzhuo Wang, Evan Seeyave, Arjun Banerjee, Daniel Fulop, Matthew C. Watson, Adam J. Meyer, Sandrine Boissel, Jens H. Kuhn, Rishi Jain, Noah D. Taylor, Helena Shomar, Patrick M. Boyle, Kenny Workman 7/8/2026

Evaluating calibrated refusal and safe usefulness in dual-use biology settings

BioSecBench-Refusal: benchmark for evaluating AI agent safety in biology tasks, pairing 61 routine tasks with 46 red-team scenarios for biosecurity assessment.

Ax Hairui Zhu, Yiying Yang, Tengjin Weng, Ziyu Lu, Xiao Yao, Xiaoyang Ye, Lin Ma, Wenhao Jiang 7/8/2026

CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration

CanvasAgent: multi-modal agent orchestrating visual tools for complex image creation and editing through synthesis, segmentation, and composition.

Ax Bo Huang, Fengxiang Li, Hao Xu, Haoyang Huang, Hongyi Fu, Jinhua Hao, Kun Yuan, Minglei Zhang, Pengcheng Xu, Shiyang Liu, Wenhao Zhuang, Yuze Shi, Zongxian Feng, Chao Wang, Cheng He, Chongling Rao, Deyu Cao, Fan Yang, Gang Xiong, Haochen Liu, Jiabao Li, Jian Liang, Jinghui Jia, Jingwen Chang, Jun Du, Junyu Shi, Min Li, Mingqi Wu, Qiang Gao, Shangpeng Yan, Shaotong Qi, Shu Xu, Shuo Zhou, Tiankuo Xu, Tong Zheng, Weilun Zhao, Xiancheng Meng, Xianda Sun, Xiaoyu Jiang, Xunhao Jia, Yao Xia, Yimeng Xu, Yinghan Cui, Yingpeng Chen, Yiwen Ning, Yong Wang, Yuxuan Sun, Zhongsheng Liu, Ming Sun, Cheng Luo, Chen Yang, Han Li, Kun Gai 7/8/2026

KAT-Coder-V2.5 Technical Report

KAT-Coder-V2.5: agentic coding model trained autonomously in executable repositories. Introduces AutoBuilder for sandbox reconstruction and end-to-end agentic post-training framework.

Ax Guanyu Cai, Ruiming Tian, Lang Yang, Zhouhong Ren, Jinliang Yuan, Lingkun Li, Jiliang Wang 7/8/2026

Is Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference

Comprehensive measurement study of mobile LLM inference across frameworks (llama.cpp, GENIE) and hardware backends (CPU, GPU, NPU). Introduces PowerBench profiling tool to identify efficiency bottlenecks.

Ax Lars Benedikt Kaesberg 7/8/2026

Decision Protocols in Multi-Agent Large Language Model Conversations

Study of decision protocols in multi-agent LLM conversations for task performance improvement through specialized agent distribution and discussion mechanisms.

Ax V\'aclav Jane\v{c}ek, Thomas Melham 7/8/2026

Privilege and confidentiality in generative AI workflows

Analysis of confidentiality and legal privilege risks in generative AI systems across training, context windows, and RAG-based knowledge databases.

Ax Konstantin Berlin 7/8/2026

Full-range Binary Classifier Calibration for Stable Model Updates in Production

Calibration method for binary classifiers in adversarial environments maintaining consistent false-positive rates across predictions during model retraining.

Ax Zhaoyu Bai, Jiaqi Cai 7/8/2026

PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured Updates

PatchOptic system for managing shared state in agentic LLM workflows using projected views and verified structured updates instead of grep-like searches.

Ax Paul K. Mandal, Pavan Reddy, Tristan Malatynski 7/8/2026

Statistical Adversaries: Natural Backdoor-like Features in Vision Datasets

Analysis of naturally occurring statistical signals in vision datasets that behave like backdoor triggers, studying Imagenet patterns linked to labels.