ToolClaude Code8 recent entries11 Aug 2026SkillSentry: Reliable Skill Execution for LLM Agents via Runtime AssurancearXiv:2608.09253v1 Announce Type: new Abstract: LLM agents are increasingly equipped with skills to perform complex tasks through multi-step reasoning and tool use. Although skills provide reusable pr→11 Aug 2026DevIntent: How Much Does LLM-Generated Code Violate Developer Intent?arXiv:2608.07614v1 Announce Type: cross Abstract: Code generated by LLMs can violate a developer's implicit intentions when given an ambiguous prompt, yet standard benchmarks measure only whether code
ToolCursor8 recent entries3 Jul 2026Decoupling Code Complexity from Newcomer Participation: A Causal Study of AI Coding Agent Adoption in OSSarXiv:2607.01810v1 Announce Type: cross Abstract: Open-source projects depend on a steady inflow of newcomers. A growing concern is that AI coding agents (tools such as Cursor and Claude Code that wri→23 Jul 2026Pathologist Attention-Aligned Report Generation for Prostate HistopathologyarXiv:2607.19624v1 Announce Type: new Abstract: The allocation of visual attention by pathologists during cancer diagnosis is a highly selective process that critically shapes the information extracte→24 Jul 2026IssueTrojanBench: Benchmarking AI Coding Agents Against Malicious Issue RequestsarXiv:2607.20759v1 Announce Type: cross Abstract: AI coding agents powered by LLMs are increasingly integrated into real-world software development, where they generate, edit, and execute code with au→24 Jul 2026Compile, Then Page: Executable SOP Programs and a Capability-Gated Runtime for Procedural LLM AgentsarXiv:2607.11346v3 Announce Type: replace Abstract: Enterprise agents must follow long-horizon, conditional, safety-critical standard operating procedures (SOPs). We compile machine-readable SOP const→30 Jul 2026Sensor-Placement-Agnostic Sonomyography: Toward Continuous High-Dimensional Control by Users with TetraplegiaarXiv:2607.26401v1 Announce Type: cross Abstract: Sonomyography (SMG) enables continuous device control via ultrasound-measured muscle deformation signals, but existing SMG interfaces generally requir→30 Jul 2026(Im)Paired Programming: Coding Agents Improve Productivity but Harm UnderstandingarXiv:2607.26375v1 Announce Type: new Abstract: Coding agents (e.g., Cursor) improve developer productivity by optimizing task completion, but shifting users from writing code to prompting and reviewi→31 Jul 2026What Does It Take to Detect an AI Agent? Minimal Feature Sets for Behavioral Detection under Browser AutomationarXiv:2607.26935v1 Announce Type: new Abstract: Bot detectors deployed at scale treat traffic as binary: human or bot. This assumption breaks when AI agents browse the web through browser automation, →6 Aug 2026EDATracer: An Agentic Framework for Large-Scale EDA Artifact AnalysisarXiv:2608.04032v1 Announce Type: cross Abstract: Modern chip design relies on electronic design automation (EDA) tools that generate large, heterogeneous artifacts, including source files, scripts, l
ToolLangChain8 recent entries4 Jun 2026Cascading Hallucination in Agentic RAG: The CHARM Framework for Detection and MitigationarXiv:2606.04435v1 Announce Type: new Abstract: Multi-step agentic retrieval-augmented generation (RAG) pipelines have demonstrated significant capability for complex reasoning tasks, yet remain vulne→5 Jun 2026Entropy-Based Evaluation of AI Agents: A Lightweight Framework for Measuring Behavioral PatternsarXiv:2606.05872v1 Announce Type: cross Abstract: AI agents are commonly evaluated using task success, reward, latency, and cost. These metrics are useful, but they often miss important aspects of age→6 Jun 2026The End of Software Engineering: How AI Agents Are Fundamentally Restructuring the Software ParadigmarXiv:2606.05608v1 Announce Type: cross Abstract: For over half a century, software engineering has operated on a foundational premise: human engineers decompose problems, encode decision logic into s→30 Jun 2026Capability Gates Are Not Authorization: Confused-Deputy Failures in LLM Agent FrameworksarXiv:2606.28679v1 Announce Type: cross Abstract: Tool-using LLM agents increasingly read untrusted content while holding side-effecting tools such as payments, email, CRM, and infrastructure APIs, ye→30 Jun 2026An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven RecommendationsarXiv:2606.28467v1 Announce Type: cross Abstract: Appliance-level energy monitoring in office buildings produces noisy alerts that non-expert facility managers struggle to use. This paper proposes an →8 Jul 2026SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation ModelsarXiv:2512.18542v3 Announce Type: replace-cross Abstract: AI coding assistants produce vulnerable code in 45% of security-relevant scenarios~ite{veracode2025}, yet no public training dataset teaches b→24 Jul 2026GuardianAgentBench: Where Agents Fail and How to Guard ThemarXiv:2607.20982v1 Announce Type: new Abstract: As large language model agents increasingly operate autonomously with access to tools and external environments, ensuring their safe and reliable behavi→28 Jul 2026Energy Constrained Hierarchical Underwater Monitoring via Local Multi-Agent RAGarXiv:2607.24313v1 Announce Type: cross Abstract: Marine life monitoring is limited by strict energy constraints, poor underwater connectivity, and the high cost of transmitting raw multimodal data fr
ToolOllama8 recent entries10 Jul 2026SPL: Orchestrating Workflows with Declarative Deterministic-Probabilistic CompositionarXiv:2607.07727v1 Announce Type: cross Abstract: We present SPL (Structured Prompt Language), a declarative language that composes deterministic and probabilistic computation modes in a single specif→24 Jul 2026ExecuGraph: A Multi-Agent, Execution-Grounded Framework for Reliable Backend Code Synthesis with Large Language ModelsarXiv:2607.20499v1 Announce Type: new Abstract: Large Language Models generate plausible backend code, but a single-pass paradigm provides no guarantee of correctness or runtime reliability. We presen→28 Jul 2026Retrieval-Augmented Large Language Models as Components of Cognitive Computing architecture for Regulatory Knowledge ManagementarXiv:2607.24352v1 Announce Type: new Abstract: The aim of this article is to verify whether integrating large language models (LLMs) with the Retrieval-Augmented Generation (RAG) architecture enables→29 Jul 2026A Control System, a Dataset, and a Recipe for Making Frozen LLM Agents Learn a DomainarXiv:2607.25415v1 Announce Type: new Abstract: Production LLM agents are increasingly assembled from a frozen model wrapped in a harness: a prompt template, a tool set, a memory/retrieval layer, a pl→3 Aug 2026OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent SystemsarXiv:2607.28629v1 Announce Type: new Abstract: The rapid transition from reactive large language models (LLMs) to persistent, action-capable systems has exposed critical gaps in the architectural und→5 Aug 2026VeriTrace: Human-Like Temporal Exploration Completes Agentic Action SpacearXiv:2608.02878v1 Announce Type: new Abstract: Large language models have shown promise for automated Verilog RTL generation, yet state-of-the-art multi-agent systems plateau at ~95% accuracy on stan→6 Aug 2026What We Observe as LLM Behavior Can Be a Side-effect of Inference BackendarXiv:2608.04714v1 Announce Type: cross Abstract: Benchmark scores are reported as properties of a model, yet the inference framework used to produce them, such as HuggingFace, vLLM, or Ollama, are co→10 Aug 2026Dual-Node NVIDIA DGX Spark over Tailscale: A Remote-Access Testbed for Distributed LLM Training and Cyber-Threat-Intelligence Fine-TuningarXiv:2608.07226v1 Announce Type: cross Abstract: Compact AI systems make local language-model experimentation increasingly accessible, yet practical evidence for multi-node training on desktop-class
ToolVercel AI8 recent entries16 Jul 2026Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMsarXiv:2607.13080v1 Announce Type: cross Abstract: Autonomous coding agents force engineering organizations to choose between API-based frontier models -- strong reasoning at high token cost -- and on-→16 Jul 2026CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI SystemsarXiv:2607.13716v1 Announce Type: new Abstract: Agentic AI systems increasingly act through heterogeneous runtimes: local coding hooks, SDK tools, browser automation, managed-agent traces, API gateway→24 Jul 2026Traceable Scholarship: Page Anchors and Ariadne's Thread for Humanistic Inquiry in the Age of Generative AIarXiv:2607.20916v1 Announce Type: new Abstract: Generative AI lets large language models produce scholarly-looking text within seconds, yet fluency does not equal valid explanation. The deepest risk i→24 Jul 2026AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality AnalyticsarXiv:2607.20452v1 Announce Type: new Abstract: Modern software quality assurance demands intelligent, autonomous systems capable of adaptive decision-making across distributed cloud environments. Thi→28 Jul 2026Building AI That Works: ESnet's Pragmatic Approach to AI-Driven Operational ExcellencearXiv:2607.22948v1 Announce Type: cross Abstract: The ORBIT (Operations Responses and Business Intelligence Toolkit) project was initiated to assess agentic AI for the upcoming ESnet 7 initiative and →7 Aug 2026Plausible Patients, Impossible Populations: Auditing Epidemiological Fidelity in Large Language Model Mental Health SimulationsarXiv:2604.17359v2 Announce Type: replace-cross Abstract: Language models asked to simulate psychiatric patients produce cases that survive inspection one at a time and populations that match no real →7 Aug 2026Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and ServicesarXiv:2608.05159v1 Announce Type: new Abstract: Enterprise operations extensively rely on multiple heterogeneous business systems and information applications, which also result in severe data silos a→12 Aug 2026A Gateway Architecture for Enterprise MCP Authentication: Unifying Heterogeneous Auth, Identity Delegation, and the User / Non-User Persona ProblemarXiv:2608.10760v1 Announce Type: cross Abstract: The Model Context Protocol (MCP) has become the de-facto interface for connecting LLM agents to enterprise tools, and adoption has been explosive: wit
ToolHugging Face8 recent entries4 Aug 2026OSSDD - a New Open Dataset for Sentinel-1 Ship DetectionarXiv:2608.01963v1 Announce Type: new Abstract: Ship detection in Synthetic Aperture Radar (SAR) images plays an important role for maritime situational awareness, especially with respect to different→4 Aug 2026Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMsarXiv:2511.00382v2 Announce Type: replace-cross Abstract: Organizations increasingly adapt Large Language Models (LLMs) from public repositories such as HuggingFace to downstream tasks. Prior work sho→5 Aug 2026LogitScope: A Framework for Analyzing LLM Uncertainty Through Information MetricsarXiv:2603.24929v2 Announce Type: replace Abstract: Understanding and quantifying uncertainty in large language model (LLM) outputs is critical for reliable deployment. However, traditional evaluation→6 Aug 2026What We Observe as LLM Behavior Can Be a Side-effect of Inference BackendarXiv:2608.04714v1 Announce Type: cross Abstract: Benchmark scores are reported as properties of a model, yet the inference framework used to produce them, such as HuggingFace, vLLM, or Ollama, are co→6 Aug 2026LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers ContentarXiv:2410.10783v4 Announce Type: replace Abstract: The large-scale training of multi-modal models on data scraped from the web has shown outstanding utility in infusing these models with the required→11 Aug 2026Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and RerankersarXiv:2608.08809v1 Announce Type: new Abstract: A single model scale challenges the flexibility of a production retrieval system: some settings need it faster, others need a smaller index, and the rig→12 Aug 2026TAF-MED: Multi-Turn Safety Refusal Collapse in LLMs Under Declared Self-Treatment IntentarXiv:2608.10258v1 Announce Type: cross Abstract: Large language models (LLMs) increasingly provide conversational health information that may influence treatment decisions, yet existing benchmarks do→12 Aug 2026myMediWhisper: Construction of Burmese Medical Speech Corpus and Whisper Fine-Tuning for Clinical Dialogue ASRarXiv:2608.11036v1 Announce Type: new Abstract: Although Whisper models benefit from large-scale multilingual pre-training, their performance on Burmese medical speech remains limited. This work prese