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◬ AI & Machine Learning Jun 11, 2026
Lung-R1: A Knowledge Graph-Guided LLM for Pulmonary Diagnostic Reasoning

arXiv:2606.11675v1 Announce Type: new Abstract: Diagnosing pulmonary diseases requires integrating heterogeneous evidence amid phenotypic variability and cross-disease overlap. Although large language…

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◬ AI & Machine Learning Jun 11, 2026
TreeSeeker: Tree-Structured Trial, Error, and Return in Deep Search

arXiv:2606.11662v1 Announce Type: new Abstract: Deep search requires agents to answer complex questions through multi-step web search, browsing, evidence comparison, and synthesis. A central challenge…

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◬ AI & Machine Learning Jun 11, 2026
TouchThinker: Scaling Tactile Commonsense Reasoning to the Open World with Large-scale Data and Action-aware Representation

arXiv:2606.11637v1 Announce Type: new Abstract: Touch is a key modality for embodied agents to understand the physical world. Although recent work has incorporated tactile signals into language system…

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◬ AI & Machine Learning Jun 11, 2026
Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning

arXiv:2606.11634v1 Announce Type: new Abstract: The rapid progress of reasoning and agentic large language models (LLMs) has increased the demand for long-context inference, but self-attention (SA) sc…

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◬ AI & Machine Learning Jun 11, 2026
HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-Distillation

arXiv:2606.11559v1 Announce Type: new Abstract: Reinforcement learning typically improves multi-turn agent capabilities through the terminal outcome of the trajectories, which makes it difficult to de…

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◬ AI & Machine Learning Jun 11, 2026
SkillJuror: Measuring How Agent Skill Organization Changes Runtime Behavior

arXiv:2606.11543v1 Announce Type: new Abstract: Agent Skills augment large language model (LLM) agents with procedural knowledge at inference time, but current benchmarks rarely distinguish what a Ski…

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◬ AI & Machine Learning Jun 11, 2026
MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning

arXiv:2606.11537v1 Announce Type: new Abstract: Financial and tabular question answering requires more than fluent reasoning: answers must be grounded in the exact facts, formulas, units, signs, and s…

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◬ AI & Machine Learning Jun 11, 2026
Search Discipline for Long-Horizon Research Agents

arXiv:2606.11522v1 Announce Type: new Abstract: Autoresearch agents now propose, evaluate, and select scientific candidates against a metric, and that metric is usually an aggregate reduced over a het…

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◬ AI & Machine Learning Jun 11, 2026
Forecasting Future Behavior as a Learning Task

arXiv:2606.11445v1 Announce Type: new Abstract: Trust in an AI system is often anchored by explanations of how it works, which one then uses to forecast its behavior on new inputs. For large reasoning…

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◬ AI & Machine Learning Jun 11, 2026
INFRAMIND: Infrastructure-Aware Multi-Agent Orchestration

arXiv:2606.11440v1 Announce Type: new Abstract: Existing multi-agent LLM orchestration methods, ranging from brute-force ensembles to learned routers, select models and topologies based on task and mo…

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◬ AI & Machine Learning Jun 11, 2026
Automated Mediator for Human Negotiation: Pre-Mediation via a Structured LLM Pipeline

arXiv:2606.11379v1 Announce Type: new Abstract: Pre-mediation, the preparatory phase preceding direct human negotiation, plays a critical role in achieving mutually beneficial agreements, yet is often…

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◬ AI & Machine Learning Jun 11, 2026
Knowing When to Ask: Self-Gated Clarification for Hierarchical Language Agents

arXiv:2606.11349v1 Announce Type: new Abstract: In hierarchical reasoning, failures often originate at intermediate decision points where the agent commits to a wrong branch without recognizing that i…

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◬ AI & Machine Learning Jun 11, 2026
Can AI Agents Synthesize Scientific Conclusions?

arXiv:2606.11337v1 Announce Type: new Abstract: Scientific AI agents increasingly retrieve evidence, reason across sources, and synthesize conclusions used in consequential decisions. Yet, their abili…

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◬ AI & Machine Learning Jun 11, 2026
Position: Hippocampal Explicit Memory Is the Cornerstone for AGI

arXiv:2606.11245v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks, raising expectations for Artificial General Intelligence (A…

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◬ AI & Machine Learning Jun 11, 2026
From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference

arXiv:2606.11207v1 Announce Type: new Abstract: We present SemantiClean, a modular framework for extracting structured semantic signals from e-commerce session data and driving pluggable inference tar…

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◬ AI & Machine Learning Jun 11, 2026
Partitioned Tags, Shared Data: Reconciling Strict Cache Isolation with Write-Shared Coherence

arXiv:2606.12259v1 Announce Type: new Abstract: Cache partitioning is among the strongest structural defenses against eviction-based cache side channels, yet a decade-old design issue has blocked its …

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◬ AI & Machine Learning Jun 11, 2026
Bridging the Smart City Cybersecurity Data Gap Through AI-Driven Synthetic Dataset Generation

arXiv:2606.12225v1 Announce Type: new Abstract: Smart cities rely on interconnected cyber-physical systems that integrate sensors, IoT devices, cloud platforms, and AI-driven services and decision-mak…

arXiv Security Read →
◬ AI & Machine Learning Jun 11, 2026
Categorical Robustness Assessment for Machine Learning based Network Intrusion Detection Systems

arXiv:2606.12075v1 Announce Type: new Abstract: Network Intrusion Detection Systems (NIDS) heavily utlize Machine Learning (ML) but ML models can be manipulated via adversarial attacks. These attacks …

arXiv Security Read →
◬ AI & Machine Learning Jun 11, 2026
InjectV: Modeling Fault Injection Attacks in RISC-V Simulation Environment

arXiv:2606.12011v1 Announce Type: new Abstract: Fault Injection Attacks (FIAs) are a significant threat to hardware security, capable of compromising systems by inducing malicious faults in computatio…

arXiv Security Read →
◬ AI & Machine Learning Jun 11, 2026
Quadratic APN Functions in Dimension 8 via Gr\"obner Basis Search in a Self-Equivalence Subspace

arXiv:2606.11967v1 Announce Type: new Abstract: We describe a computational search for quadratic APN (Almost Perfect Nonlinear) functions in dimension 8 within a structured self-equivalence subspace. …

arXiv Security Read →
◬ AI & Machine Learning Jun 11, 2026
Gerrymandering the Warp: Non-Control-Data Attacks on CUDA Collective Decision

arXiv:2606.11878v1 Announce Type: new Abstract: CUDA collective operations often sit on security decision paths: votes accept batches, reductions aggregate evidence, shuffles select representatives, a…

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◬ AI & Machine Learning Jun 11, 2026
WarpGuard: Protected-Site Control-Flow Integrity for CUDA SASS Binaries

arXiv:2606.11871v1 Announce Type: new Abstract: Recent CUDA exploitation work shows that GPU memory bugs can escalate into device-side control-flow corruption, as kernels later consume corrupted retur…

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◬ AI & Machine Learning Jun 11, 2026
Systematic Cybersecurity Risk Analysis of European Rail Traffic Management System

arXiv:2606.11839v1 Announce Type: new Abstract: European Rail Traffic Management System (ERTMS) is a widely adopted standard unifying train management in the EU. While the standard allows for use case…

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◬ AI & Machine Learning Jun 11, 2026
Jaguar: Fast Private CNN Inference with Power-of-Two Homomorphic Arithmetic

arXiv:2606.11827v1 Announce Type: new Abstract: Hybrid HE/2PC private CNN inference remains bottlenecked by prime-modulus homomorphic arithmetic in convolution and by a precision flow that runs ReLU a…

arXiv Security Read →
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