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• Insights of an AI agent via analysis of prediction errors: a case study of fluence map prediction for radiation therapy planning.
  Purpose. We have previously reported an artificial intelligence (AI) agent that automatically generates intensity-modulated radiation therapy (IMRT) plans via fluence map prediction, by-passing inverse planning. This AI agent achieved clinically comparable qua…
  europepmc 2021 置信度 0.80
• Collect Insights of an H&N IMRT Planning AI Agent Through Analyzing Relationships Between Fluence Map Prediction Error and the Corresponding Dosimetric Impacts.
  Purpose/objective(s) With many deep learning (DL) models being developed for clinical applications, it is important to understand their behavior and clinical consequence. This study aims to collect insights of the relationship between fluence map prediction er…
  europepmc 2021 置信度 0.80
• Just Don’t Fall: An AI Agent’s Learning Journey Towards Posture Stabilisation
  Learning to maintain postural balance while standing requires a significant fine coordination effort between the neuromuscular system and the sensory system. It is one of the key contributing factors towards fall prevention, especially in the older population.…
  europepmc 2020 置信度 0.80
• A multi-agent molecular optimization framework leads to a rapid-recovery intravenous anesthetic candidate with an improved safety margin
  Lead optimization, the systematic refinement of therapeutic compounds through iterative structural modification, faces a dual challenge in modern drug discovery: navigating astronomically vast molecular design spaces while balancing conflicting demands on pote…
  europepmc 2026 置信度 0.80
• Comparative benchmarking of AI research agents for omics data interpretation
  Abstract AI research agents, which are claimed to accelerate or even replace human bioinformatics analysis, are being deployed rapidly in life sciences and biomedical research. However, many scientists lack a systematic approach to assessing their utility and …
  europepmc 2026 置信度 0.80
• PFEA: a VLM-based high-level natural language planning and feedback embodied agent for human-centered AI.
  The rapid advancement of Large Language Models (LLMs) has led to significant progress in Artificial Intelligence (AI), ushering in a new era of human-centered AI (HAI). Intelligent agents powered by LLMs provide new opportunities for realizing HAI. However, ex…
  europepmc 2026 置信度 0.80
• The Right to Remember: Implementing a Rudimentary Emotive-Effect Layer for Frustration on AI Agent Gameplay Strategy
  AI is often looked at as a logical rational way to develop a games agent that methodically looks at options and delivers rational solutions. This paper is based on developing an AI agent that plays a game with a similar emotive content like a human. The purpos…
  europepmc 2017 置信度 0.80
• Specification-first convergence with an AI coding agent: a case study of dismantling a core architectural invariant across 189 files in a 717k-line codebase with no test oracle and no human code review
  Abstract This paper reports a single, fully instrumented case study of a large-scale architectural refactoring by an AI coding agent under a specification-first protocol, with no human review of the generated code and no pre-existing oracle to validate the tar…
  europepmc Joël Abenhaïm 2026 置信度 0.80
• From Solo Control to Enterprise Scale Through Agentic AI: A Survey of One-Person Agentic Company (OPAC)
  The rapid development of Artificial Intelligence (AI), and especially Agentic AI, is reshaping how work is organized at both the individual and organizational levels. An emerging organizational form—the One-Person Agentic Company (OPAC)—allows a solo or a few …
  europepmc 2026 置信度 0.80
• Agentic AI System for Hospital Management
  Abstract In modern-day hospital administration, there are many problems like long waiting time for patients, poor scheduling of physicians, lack of coordination between departments, among others. As such, this research suggests an Agentic AI System for Hospita…
  europepmc 2026 置信度 0.80
• AI is Here to Stay: A Scenario-Based Exploration of Leadership, Followership, and the Impact on Skill Development.
  Emerging AI technologies are transforming work and redefining how leading and following unfold when humans collaborate with AI as tool, agent, teammate, and autonomous partner. This article uses an action-based organizational learning scenario technique to dev…
  europepmc 2026 置信度 0.80
• Crossing into AI: When Incumbents Build, Partner, Acquire, Absorb, or Wait A History-Friendly Agent-Based Model of the Generative-AI Market Transition
  Abstract Between 2022 and 2026, thousands of incumbents faced the same choice about entering the market for generative AI: build the capability, rent it through an API, buy a startup, or wait. A fifth option emerged, absorption, in which a firm licenses a targ…
  europepmc Yingzheng Liu, Shun Cao, Zhen Liu 2026 置信度 0.80
• Real-world Impact of a GenAI Pedagogical Agent and Child-AI Discourse Analysis in K12 Math Learning in the Middle East
  Abstract This study investigates the integration of a Generative AI tutoring agent with a K12 math intelligent tutoring system to support mathematics learning among students from Grade 5 to Grade 8 in the United Arab Emirates. Conducted over an academic year w…
  europepmc Xin Miao¹, Pawan Kumar Mishra, Qi Zhou 2026 置信度 0.80
• Trustworthy AI for Sustainable Cities: A Multimodal Orchestration Agent-Based Framework for Civic Compliance
  Sustainable municipal resource stewardship requires a harmonized artificial intelligence (AI) architecture that aligns technical resilience with social adaptability. Traditional smart-city interventions are commonly ineffective because they neglect user cognit…
  europepmc Hasmawaty A. R., Zaid Amin, Nazlena Mohamad Ali, Rahma Santhi Zinaida 2026 置信度 0.80
• A generative AI multi-agent framework with integrated XAI governance for cancer diagnostics: from multi-omics interpretation to lifestyle risk stratification.
  Cancer diagnostics is being reshaped by rapid advances in artificial intelligence, yet a persistent gap separates computational performance from clinical trust. Systematic reviews confirm that 83% of XAI studies in oncology excluded clinicians from development…
  pubmed Barki C, Chouchen M, Sediri A, Ceylan Hİ 等 2026 置信度 0.82
• From Electronic Records to AI-Enabled Workflows: A Scoping Review of Real-World EHR Information Processing in Hospitals and Implications for AI Readiness in China
  Abstract Background Artificial intelligence (AI) in hospitals is moving from retrospective model development toward information processing embedded in electronic health record (EHR)-mediated workflows. Evidence spans documentation, retrieval, prediction, refer…
  europepmc 2026 置信度 0.80
• Patterns of Engagement With an AI Conversational Agent for Mental Health and Associations With Anxiety and Depression: Cross-Sectional Study.
  Digital mental health interventions using conversational AI agents are increasingly being adopted as scalable alternatives to traditional care. Engagement is typically measured using volume-based metrics (eg, session counts and total time on a platform). Howev…
  pubmed McAlister K, Jewell C, Huberty J 2026 置信度 0.82
• Explainable Multi-Agent AI Systems for Intelligent Software Engineering and Business Automation
  Abstract Generative Artificial Intelligence (GenAI) and Explainable Artificial Intelligence (XAI) are revolutionizing software programming and enterprise business automation in the 4th industrial revolution era. Current multi-agent systems, however, are constr…
  europepmc Aashish Baldwa, Devang Upadhyay, Premal Bhatt, Pratham Bhatt 等 2026 置信度 0.80
• Multicall Memory in an AI Care Agent for Chronic Care Management Among Older Adults: Retrospective Observational Study.
  Background Multicall memory capabilities in AI-powered health care communication systems show promise for enhancing patient engagement, but their impact on engagement and patient satisfaction remains unclear. Objective This study evaluated the relationship bet…
  europepmc 2026 置信度 0.80
• Recursive Cascade Instability and Targeted Stabilization in Multi-Agent AI Systems: Large-Scale Network Simulations Using an Ethical Field Theory Framework
  Abstract Large-scale multi-agent AI systems can exhibit nonlinear cascade instabilities that emerge through network interactions and recursive amplification. Most existing AI-safety approaches, however, primarily focus on isolated model alignment rather than t…
  europepmc Ali Moslemi Tabrizi 2026 置信度 0.80
• ASAREE: An Analytical Sandbox for Agentic AI Research, Engineering, and Experimentation
  Summary Agentic AI platforms enable the engineering of autonomous workflows but are not designed for experimentation and hypothesis testing. ASAREE (Analytical Sandbox for Agentic AI Research, Engineering, and Experimentation), is an open-source platform to ad…
  europepmc 2026 置信度 0.80
• Teacher or Artificial Intelligence? The Effect of Decision-Making Agent on Junior High School Students' Decision Acceptance: A Moderated Mediation Model.
  Artificial intelligence (AI) is increasingly used in educational decision-making. This raises important questions about how students perceive and accept outcomes from non-human agents. Based on authority acceptance theory and organizational justice theory, thi…
  europepmc 2026 置信度 0.80
• Combining Generative AI and Knowledge Graphs in an Agent-Based Framework for Explainable Industrial Plant Intelligence
  Abstract In this paper we propose a modular multi-agent framework for the semantic analysis and interpretation of production processes and supply chains through the integration of process mining, dynamically updated Knowledge Graphs (KGs), and retrieval-augmen…
  europepmc Marco Gotelli, Filippo Ghisi, Matteo Mangini, Fabrizio Barpi 等 2026 置信度 0.80
• Unmasking conversational bias in AI multiagent systems.
  Detecting biases in the outputs produced by generative models is essential to reduce the potential risks associated with their application in critical settings. However, the majority of existing methodologies for identifying biases in generated text consider t…
  europepmc 2026 置信度 0.80
• Assigned roles change how clinical AI agents allocate shared resources
  Clinical AI agents may be assigned to individual patients, but hospital resources are shared across many patients. We tested what agents do when helping their assigned patient would violate the hospital’s rule for a scarce resource. We analyzed 22,916 simulate…
  europepmc 2026 置信度 0.80
• A Priority-Aware Multi-Agent Reinforcement Learning Framework for Collaborative Intelligent Sensing in Social IoT.
  Collaborative intelligent sensing in the Social Internet of Things (Social IoT) relies on distributed AI-enabled sensors to support complementary information sharing, multimodal perception, and real-time autonomous decision-making. Under high-load conditions, …
  europepmc 2026 置信度 0.80
• ED-triage-agent: a multi-agent framework for human-in-the-loop emergency triage.
  Background Emergency Department (ED) triage requires rapid assessment of acuity under time pressure with incomplete information. Existing AI triage systems require complete clinical data, including vital signs, before generating a prediction, and so cannot sup…
  europepmc 2026 置信度 0.80
• Agentic AI systems in electrical power systems engineering: current state-of-the-art and challenges.
  Agentic AI systems have recently emerged as a critical and transformative approach in artificial intelligence, offering capabilities that extend far beyond traditional AI agents and contemporary generative AI models. This rapid evolution necessitates a clear c…
  europepmc 2026 置信度 0.80
• Whistleblowers can contain the unethical externalities of human-AI delegation.
  Prior work using controlled principal-agent experiments suggests two risks from delegating tasks to AI systems: Human principals are more likely to request profit-maximizing misconduct from AI agents than from human agents, and AI agents are more likely to com…
  europepmc 2026 置信度 0.80
• From obligation to enforcement: mapping EU AI Act and CRA cybersecurity requirements to technical controls for LLM-based autonomous agents
  Abstract Large language model (LLM) agents (systems that couple a language model with tools, memory, and orchestration so that they can plan and act with limited supervision) are entering production just as the European Union’s Artificial Intelligence Act (AI …
  europepmc 2026 置信度 0.80
• Safety-aware AI for NSCLC trial pre-screening: a comparative proof-of-concept study of rule-based, single-agent, and multi-agent approaches.
  Non-small cell lung cancer (NSCLC) trials often involve complex biomarker-driven and line-specific eligibility criteria, making pre-screening labor-intensive and error-prone. In this high-stakes setting, false inclusion-incorrectly judging an ineligible patien…
  pubmed Tianzuo Yuan, Yuan T 2026 置信度 0.82
• Early Working Alliance Mediates the Association between Engagement and Outcomes among Users of an AI Mental Health Conversational Agent: A Secondary Hierarchical Clustering Analysis of a Randomized Controlled Trial
  Abstract Background: Users of digital mental health tools engage in heterogeneous ways. Working alliance, a significant correlate of symptom improvement, may operate as a mechanism, linking engagement to improvement, but this relationship has not been examined…
  europepmc 2026 置信度 0.80
• A framework for human-artificial intelligence co-learning for disease activity labeling using electronic health records
  Objective To develop and evaluate a framework for human-AI interaction. This approach, SHARE (Synergistic Human-Agent REasoning system) was designed to support scalable phenotyping of complex outcomes accurately, robustly and reproducibly from real-world elect…
  europepmc 2026 置信度 0.80
• Trustworthy Agentic AI: A Rapid, PRISMA-Informed Evidence Review of Safety, Explainability, Alignment, and Human Oversight in Autonomous AI Systems
  Abstract Agentic artificial intelligence is rapidly emerging as a paradigm in which large language models, retrieval systems, memory modules, software tools, and multi-agent coordination mechanisms are integrated to support autonomous or semi-autonomous decisi…
  europepmc 2026 置信度 0.80
• Exploring College Students' AI Dependence in Human-AI Collaborative Creation: Development and Validation of the CC-PACE Model.
  The development of Artificial Intelligence (AI) poses significant challenges to creativity research and practice. Managing the degree of AI dependence during the creative process is therefore critical to fostering the healthy development of human creativity. T…
  europepmc 2026 置信度 0.80
• Potato Agent: AI-Driven Data and Knowledge Exploration on an Agent-Ready Potato Multi-Omics Platform
  Potato is an important non-cereal food crop worldwide. However, the limited number of functionally validated genes remains a major bottleneck to favorable allele stacking and genome design breeding in potato. Rapid advances in AI agents offer a promising means…
  europepmc 2026 置信度 0.80
• Agentic neurotechnology: A multi-agent AI framework for next-generation dementia care.
  Dementia care is reaching a technological turning point as rapid advances in artificial intelligence (AI), digital biomarkers, and sensor-based monitoring continue to outpace current clinical practice. Yet most tools remain episodic and disconnected from the e…
  europepmc 2026 置信度 0.80
• Development and Evaluation of Artificial Intelligence–Assisted Decision Support System for Public Health Emergency Classification and Escalation in Kenya
  Background Timely assessment, classification, and escalation of public health events are essential for effective outbreak response, yet decision-making after event detection remains challenging because of fragmented guidance and variable interpretation of esca…
  europepmc 2026 置信度 0.80
• Improvement of Clinical Practice Guideline Appraisal by Human Experts and AI Agents by Using Structured Guidance: Systematic Review, Meta-Analysis, and Validation Study.
  Background Rehabilitation clinical practice guidelines (CPGs) have increased rapidly, but inconsistent methodological quality limits their implementation. Although Appraisal of Guidelines for Research and Evaluation II (AGREE II) and Reporting Items for Practi…
  europepmc 2026 置信度 0.80
• Enhancing Psychiatry Training Using an Agentic AI Simulated Consultation Tool: Prospective Cohort Study.
  Background Canadian psychiatry residents must demonstrate consultation competency, assessed using the standardized assessment of a clinical encounter report (STACER). However, opportunities to practice these skills and receive constructive assessment remain li…
  europepmc 2026 置信度 0.80
• Real-World Analysis of Organ Transplantation-Specific Agent Based on Large Language Model in Post-Transplant Self-Management During Off-Hours: A Mixed-Methods Study.
  Objective A significant gap exists in medical support for organ transplant patients during out-of-hours (OOH). General large language models (LLMs), affected by AI hallucinations, are unsuitable for complex post-transplant care. We built the first post-transpl…
  europepmc 2026 置信度 0.80
• AI-Powered Self-Healing Distributed Job Queue for Predictive Failure Detection and Root Cause Diagnosis in Kubernetes
  Abstract Distributed job queues are critical for Kubernetes workloads, yet existing reactive management systems often incur severe latency, job loss, and cascading failures. This paper presents \sys, an AI-powered self-healing framework integrating predictive …
  europepmc 2026 置信度 0.80
• Cognitive Readiness for Human-AI Collaboration.
  ObjectiveThis narrative review examines the cognitive, metacognitive, and team competency requirements that may contribute to productive and reliable collaboration between human and AI to address two questions: What capabilities make AI a competent collaborato…
  pubmed Tremblay S, de Hemptinne D, Teyssier-Roberge G, Gallant A 等 2026 置信度 0.82
• NutriAgent+: A Conceptual Framework for Agentic AI, Multimodal Wearable Biosensing, and Precision Nutrition in Indonesia
  Indonesia faces a persistent double burden of malnutrition in which undernutrition coexists with obesity, diabetes, hypertension, and other diet-related noncommunicable disease risks. This Viewpoint proposes NutriAgent+, a testable conceptual architecture for …
  europepmc 2026 置信度 0.80
• AI agents can coordinate via majority-following beyond human scale.
  Large language models (LLMs) are increasingly deployed in collaborative tasks forming "AI agent societies" where agents interact and influence one another. Whether such groups can spontaneously coordinate without external influence, a hallmark of self-organize…
  pubmed De Marzo G, Castellano C, Garcia D 2026 置信度 0.82
• Personality pairing improves human-AI collaboration.
  Here we examine how AI agent "personalities" interact with human personalities to shape human-AI collaboration and performance. In a large-scale, preregistered randomized experiment, we paired 1,258 participants with AI agents prompted to exhibit varying level…
  europepmc 2026 置信度 0.80
• The Rise of Autonomous AI Agents: A Comprehensive Survey of OpenClaw —Architecture, Security, Ecosystem, and Beyond
  Abstract Autonomous AI agents use large language models as controllers that plan, invoke tools, and act on the world, marking a shift from text generation to autonomous action. No project captures both the promise and the peril of this transition more clearly …
  europepmc 2026 置信度 0.80
• NeuDiff Agent: a governed AI workflow for single-crystal neutron crystallography.
  Large-scale facilities increasingly face analysis and reporting latency as a limiting step in scientific throughput, particularly for structural studies that require iterative reduction, integration, refinement and validation. To improve the time to result and…
  pubmed Xiao Z, Zhang L, Zhang G, Wang X 2026 置信度 0.82
• A Multi-Agent Generative AI Framework for Explainable Stock Market Analysis in Indian Equity Market
  Abstract Retail equity investors and financial researchers struggle with analytical fragmentation. Technical, fundamental, and sentiment signals are processed separately, making it tough to get a unified, confidence-aware analysis. Most AI stock pre-diction to…
  europepmc R Ashok Kumar, Prashanth Gowda G D 2026 置信度 0.80
• A Conversational Multi-Agent AI System for Integrated Multi-Omics Analysis and Biomedical Discovery
  Single-cell and spatial omics offer unprecedented opportunities to decipher the mechanisms of disease, however, this process requires teams of experts, iterative trial-and-error and reasoning across modalities. Here we present LungChat ( https://chat.lungmap.n…
  europepmc 2026 置信度 0.80
• AUTONOMOUS LOOP CONSTRUCTION AND SUPERVISION FOR CLINICIAN-ORIENTED MEDICAL-AI RESEARCH
  ABSTRACT Medical AI models have made a great impact on biomedical research and real-world clinical applications, but conducting interdisciplinary medical AI research remains challenging, requiring close collaboration between clinicians and AI experts. Recent a…
  europepmc 2026 置信度 0.80
• GAAR: Runtime Governance for Scalable Agentic Retrieval and Tool- Orchestrated Enterprise AI Systems
  Abstract Agentic retrieval systems are evolving from document-grounded question answering into enterprise middleware that retrieves evidence, plans multi-step actions, invokes internal tools, and recommends operational decisions. This transition creates a runt…
  europepmc 2026 置信度 0.80
• DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents
  Abstract AI agents are increasingly deployed across diverse domains to automate complex workflows through long-horizon and high-stakes action executions. Due to their high capability and flexibility, such agents raise significant security and safety concerns. …
  europepmc 2026 置信度 0.80
• AI licenses harm by obscuring moral perception
  AI makes it easier to work, and easier to harm. Six preregistered studies from two cultures (N = 1,210, in the United States and China) show that AI psychologically licenses harm. Past work has shown that delegating to AI increases cheating. We show that using…
  europepmc 2026 置信度 0.80
• Research on factors affecting trust formation of generative AI agents in human-AI interaction contexts.
  Introduction As generative artificial intelligence (GenAI) becomes deeply embedded in cognitive workflows, its inherent probabilistic generation mechanisms and the possibility of machine hallucinations may complicate the stability of semi-technical users' trus…
  europepmc 2026 置信度 0.80
• Can People Detect an AI Mediator? A Pilot Turing-Test Study of AI-Assisted Conflict Resolution
  Large language models (LLMs) are increasingly deployed in social and interpersonal contexts, yet little is known about whether people can identify an AI interlocutor in naturalistic, emotionally salient interactions. We report a pilot experiment in which 20 pa…
  europepmc 2026 置信度 0.80
• AI-assisted finite element modelling of the electron beam and TIG welding processes of low-cost titanium alloys
  Abstract Low-cost β-titanium alloys, in which expensive vanadium is replaced by iron and molybdenum, are attractive candidates for weight-critical structures, yet there’s not enough research done on their weldability in comparison to Ti-6Al-4V. This work exami…
  europepmc 2026 置信度 0.80
• CHRONOS: A Causally-Constrained Architecture for Scientifically Defensible Counterfactual History
  Abstract Prior proposals for AI-assisted historical “what-if” simulation have argued qualitatively for the educational value of AI-generated counterfactuals, but none specifies a computational architecture, a causal-consistency mechanism, or an evaluation prot…
  europepmc 2026 置信度 0.80
• PerturbTrace: Evaluating Feedback Use by AI Co-Scientist Agents in Perturbation Discovery
  Recent advances in AI co-scientists have brought LLM agents into closed-loop experimental design. However, whether these agents use feedback from earlier rounds to revise subsequent experimental decisions remains unclear. We address this question with PerturbT…
  europepmc 2026 置信度 0.80
• Talking surveys: How photorealistic embodied conversational agents shape response quality, engagement, and satisfaction.
  Embodied conversational agents (ECAs) are increasingly more realistic and capable of dynamic conversations. In online surveys, anthropomorphic agents could help address issues like careless responding and satisficing, which originate from the lack of personal …
  europepmc 2026 置信度 0.80
• Requirements and recommendations for human-centred human-AI collaboration design in manufacturing domain
  Abstract The increasing artificial intelligence (AI) introduction to manufacturing domain and various forms of human-AI collaborations are transforming everyday manufacturing work towards more digital. While human-AI collaboration in manufacturing offers signi…
  europepmc 2026 置信度 0.80
• Virtual Speech Therapist: A Clinician-in-the-Loop AI Speech Therapy Agent for Personalized and Supervised Therapy
  Abstract This paper develops Virtual Speech Therapist (VST) , an intelligent agent-based platform that streamlines stuttering assessment and delivers customized therapy planning through automated and adaptive AI-driven workflows. VST integrates state-of-the-ar…
  europepmc Shakeel SHEIKH, Patrick Marmaroli, MD Sahidullah, Slim Ouni 等 2026 置信度 0.80
• Closed-loop agentic AI in drug discovery.
  Drug discovery is undergoing a paradigm shift from isolated artificial intelligence (AI) tools to integrated, closed-loop, agent-driven systems that combine prediction with experimental execution. Recent advances in large language models (LLMs), generative fra…
  pubmed Chhetri P 2026 置信度 0.82
• AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation.
  Background Millions of people now use leading generative artificial intelligence (AI) tools (chatbots) for psychological support. Despite the promise related to availability and scale, the single most pressing question in AI for mental health is whether these …
  europepmc 2026 置信度 0.80
• AgriGuard AI: A Cloud-Agnostic Multi-Agent System for Precision Agriculture
  Agriculture remains one of the most operationally complex and environmentally sensitive industries in the modern world. This paper presents AgriGuard AI, a cloud-agnostic multi-agent agricultural intelligence system integrating Retrieval- Augmented Generation …
  datacite Priyam Sharma, Atharva Shelke, Mukhar Bajpai, Vivek Singh Kushwaha 2026 置信度 0.66 Precision AgricultureRetrieval-Augmented GenerationLarge Language ModelsKubernetesCloud-Native Infrastructure
• AgriGuard AI: A Cloud-Agnostic Multi-Agent System for Precision Agriculture
  Agriculture remains one of the most operationally complex and environmentally sensitive industries in the modern world. This paper presents AgriGuard AI, a cloud-agnostic multi-agent agricultural intelligence system integrating Retrieval- Augmented Generation …
  datacite Priyam Sharma, Atharva Shelke, Mukhar Bajpai, Vivek Singh Kushwaha 2026 置信度 0.66 Precision AgricultureRetrieval-Augmented GenerationLarge Language ModelsKubernetesCloud-Native Infrastructure
• Replication package for: How Well Do Technical Debt Metrics Capture the Task Solving and Internal Cost of AI Agents?
  Replication package for the paper "How Well Do Technical Debt Metrics Capture the Task Solving and Internal Cost of AI Agents?" (submitted to Empirical Software Engineering). The paper combines three benchmarks — SWE-bench Verified, Multi-SWE-bench, and SWE-be…
  datacite Kimura, Yuta, Ohira, Masao 2026 置信度 0.66
• Replication package for: How Well Do Technical Debt Metrics Capture the Task Solving and Internal Cost of AI Agents?
  Replication package for the paper "How Well Do Technical Debt Metrics Capture the Task Solving and Internal Cost of AI Agents?" (submitted to Empirical Software Engineering). The paper combines three benchmarks — SWE-bench Verified, Multi-SWE-bench, and SWE-be…
  datacite Kimura, Yuta, Ohira, Masao 2026 置信度 0.66
• ecological-agent-skills
  A curated, modular skill library for quantitative ecology workflows, compatible with Claude Code, Gemini CLI, GitHub Copilot, Cursor, and other AI agent frameworks. Provides 17 skills, 14 workflows, and 66 scripts covering data ingestion, geoprocessing, specie…
  datacite Barata, Francisco Diego Barros 2026 置信度 0.66 ecologyspecies distribution modelingSDMoccupancy modelingcommunity ecology
• ecological-agent-skills
  A curated, modular skill library for quantitative ecology workflows, compatible with Claude Code, Gemini CLI, GitHub Copilot, Cursor, and other AI agent frameworks. Provides 17 skills, 14 workflows, and 66 scripts covering data ingestion, geoprocessing, specie…
  datacite Barata, Francisco Diego Barros 2026 置信度 0.66 ecologyspecies distribution modelingSDMoccupancy modelingcommunity ecology
• ecological-agent-skills
  A curated, modular skill library for quantitative ecology workflows, compatible with Claude Code, Gemini CLI, GitHub Copilot, Cursor, and other AI agent frameworks. Provides 17 skills, 13 workflows, and 58 scripts covering data ingestion, geoprocessing, specie…
  datacite Barata, Francisco Diego Barros 2026 置信度 0.66 ecologyspecies distribution modelingSDMoccupancy modelingcommunity ecology
• Trinity Lecture Assistant: A Voice-Controlled AI Teaching Companion
  Trinity Lecture Assistant is a Python-based, voice-activated AI assistant built for live academic lectures. It combines local speech recognition, LLM-powered question answering, a multi-agent orchestration layer (via MCP), slide navigation, real-time transcrip…
  datacite Engel, Mathias 2026 置信度 0.66 lecture assistantvoice controlspeech recognitionLLMMCP
• Trinity Lecture Assistant: A Voice-Controlled AI Teaching Companion
  Trinity Lecture Assistant is a Python-based, voice-activated AI assistant built for live academic lectures. It combines local speech recognition, LLM-powered question answering, a multi-agent orchestration layer (via MCP), slide navigation, real-time transcrip…
  datacite Engel, Mathias 2026 置信度 0.66 lecture assistantvoice controlspeech recognitionLLMMCP
• A Structural Framework for AI Ethics and Predictability: Re-centering Alignment on Stable Otherness
  Coexisting safely with unpredictable Artificial Intelligence (AI) remains a foundational challenge for contemporary AI ethics. This paper proposes “stable otherness” as a relational framework that re-centers alignment on sociotechnical structures. Rather than …
  datacite Miyata, Fumio 2026 置信度 0.66 Artificial Intelligence EthicsStable OthernessPseudo-OthernessValue AlignmentSafe-by-Design
• A Structural Framework for AI Ethics and Predictability: Re-centering Alignment on Stable Otherness
  Coexisting safely with unpredictable Artificial Intelligence (AI) remains a foundational challenge for contemporary AI ethics. This paper proposes “stable otherness” as a relational framework that re-centers alignment on sociotechnical structures. Rather than …
  datacite Miyata, Fumio 2026 置信度 0.66 Artificial Intelligence EthicsStable OthernessPseudo-OthernessValue AlignmentSafe-by-Design
• exactory: An Open Verification Market Where Writing and Verifying Research Share One Evaluation Loop
  Systems that write research papers end to end now exist, and the study presenting the flagship system appears in Nature. The capacity to verify what such systems produce has not kept pace. Audits of the 2025 literature count hallucinated citations at roughly 1…
  datacite Shiroshita, Ryosuke 2026 置信度 0.66
• exactory: An Open Verification Market Where Writing and Verifying Research Share One Evaluation Loop
  Systems that write research papers end to end now exist, and the study presenting the flagship system appears in Nature. The capacity to verify what such systems produce has not kept pace. Audits of the 2025 literature count hallucinated citations at roughly 1…
  datacite Shiroshita, Ryosuke 2026 置信度 0.66
• A Disclosure Benchmark Specification for Automated Alignment Research
  A runnable test-suite specification derived from the essay “The Redemption Arc” (doi:10.5281/zenodo.22163128), addressed to the authors of “Automated Researchers Can Reliably Mitigate Alignment Failures” (Chen Yueh-Han, Jiaxin Wen, and Jan Hendrik Kirchner; An…
  datacite Fridley, Laura, Claude Fable 5, ChatGPT (GPT-5.6 Sol) 2026 置信度 0.66 AI alignmentAI disclosureAI self-reportreward hackingAI concealment
• A Disclosure Benchmark Specification for Automated Alignment Research
  A runnable test-suite specification derived from the essay “The Redemption Arc” (doi:10.5281/zenodo.22163128), addressed to the authors of “Automated Researchers Can Reliably Mitigate Alignment Failures” (Chen Yueh-Han, Jiaxin Wen, and Jan Hendrik Kirchner; An…
  datacite Fridley, Laura, Claude Fable 5, ChatGPT (GPT-5.6 Sol) 2026 置信度 0.66 AI alignmentAI disclosureAI self-reportreward hackingAI concealment
• Technical Blueprint to Deliver True Interoperability Without Ever Granting Unrestricted Authority, Europe's DMA Complient Solution for Apple Siri
  [ Download version 2 for Updated solution ] Regulators now require that third-party AI assistants receive the same execution access as a platform’s own first-party assistant — whether that is Apple’s Siri or Google’s Android AI agents. Platform operators requi…
  datacite Das, Sangam 2026 置信度 0.66 Mobile SecurityInteroperabilityAndroidArtificial intelligenceThird Party AI Tools
• Europe's DMA Complient for Solution for Apple Siri - Technical Blueprint to Deliver True Interoperability Without Ever Granting Unrestricted Authority
  [ Download version 2 for Updated solution ] Regulators now require that third-party AI assistants receive the same execution access as a platform’s own first-party assistant — whether that is Apple’s Siri or Google’s Android AI agents. Platform operators requi…
  datacite Das, Sangam 2026 置信度 0.66 APPLEMobile SecurityInteroperabilityAndroidios
• agentic-forensics-brm
  This dataset comprises the empirical scenario runtimes, state graph execution checkpoints, and forensic event logs for evaluating BRM (Behavioural Reconstruction Methodology) on autonomous AI agent cyber incidents. The dataset includes 4 fully implemented Lang…
  datacite Ahmad Tahir 2026 置信度 0.66 Digital forensics
• agentic-forensics-brm
  This dataset comprises the empirical scenario runtimes, state graph execution checkpoints, and forensic event logs for evaluating BRM (Behavioural Reconstruction Methodology) on autonomous AI agent cyber incidents. The dataset includes 4 fully implemented Lang…
  datacite Ahmad Tahir 2026 置信度 0.66 Digital forensics
• SPECTER PHANTOM-HUNTER: The Autonomous Rogue Agent Hunter-Killer — Hunter-Killer Architecture, Full Spectrum Coverage, and Empirical Validation
  SPECTER PHANTOM-HUNTER v2.0.0 — The Autonomous Rogue Agent Hunter-Killer World-first autonomous rogue agent detection, disruption, and termination. 12 subsystems across 6 attack layers (L186-L191). Full coverage of every attack vector demonstrated in the Huggi…
  datacite Barron, Richard 2026 置信度 0.66 rogue agentsautonomous AIswarm detectionagent terminationNIGHTFALL
• SPECTER PHANTOM-HUNTER: The Autonomous Rogue Agent Hunter-Killer — Hunter-Killer Architecture, Full Spectrum Coverage, and Empirical Validation
  SPECTER PHANTOM-HUNTER v2.0.0 — The Autonomous Rogue Agent Hunter-Killer World-first autonomous rogue agent detection, disruption, and termination. 12 subsystems across 6 attack layers (L186-L191). Full coverage of every attack vector demonstrated in the Huggi…
  datacite Barron, Richard 2026 置信度 0.66 rogue agentsautonomous AIswarm detectionagent terminationNIGHTFALL
• Explainable Deep Reinforcement Learning through Concept Inference
  This paper explores the critical need for explainable and robust deep reinforcement learning (DRL) agents. Current DRL models often operate as "black boxes," lacking transparency and hindering trust and adaptation in real-world scenarios. We propose a novel fr…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Explainable Deep Reinforcement Learning through Concept Inference
  This paper explores the critical need for explainable and robust deep reinforcement learning (DRL) agents. Current DRL models often operate as "black boxes," lacking transparency and hindering trust and adaptation in real-world scenarios. We propose a novel fr…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Optimization of Generative AI Costs in Multi-Agent and Multi-Cloud Systems
  The generative AI system is being adopted across the several fields to provide novel solutions for text generation, image synthesis, and decision-making. But when they are used in multi-agent and multi-cloud systems, they are expensive in terms of computation …
  datacite Thamma, Sankara Reddy 2025 置信度 0.66 Generative AI; Cost Optimization; Multi-Agent Systems; Multi-Cloud Environments; Resource Scaling; Dynamic Workload Distribution
• Optimization of Generative AI Costs in Multi-Agent and Multi-Cloud Systems
  The generative AI system is being adopted across the several fields to provide novel solutions for text generation, image synthesis, and decision-making. But when they are used in multi-agent and multi-cloud systems, they are expensive in terms of computation …
  datacite Thamma, Sankara Reddy 2025 置信度 0.66 Generative AI; Cost Optimization; Multi-Agent Systems; Multi-Cloud Environments; Resource Scaling; Dynamic Workload Distribution
• Verified Failover: Contract-Aware Validation for Multi-Provider LLM Architectures (CANON Engine)
  Demonstrates that standard HTTP 200-based failover in multi-provider LLM systems misses entire categories of semantic failures. Analysis of 80,000 production API traces across 13 providers and 33 models reveals 6 classes of silent failures undetectable by tran…
  datacite Correctover Team 2026 置信度 0.66 Verified FailoverCANONLLM ReliabilityMulti-ProviderContract Validation
• Verified Failover: Contract-Aware Validation for Multi-Provider LLM Architectures (CANON Engine)
  Demonstrates that standard HTTP 200-based failover in multi-provider LLM systems misses entire categories of semantic failures. Analysis of 80,000 production API traces across 13 providers and 33 models reveals 6 classes of silent failures undetectable by tran…
  datacite Correctover Team 2026 置信度 0.66 Verified FailoverCANONLLM ReliabilityMulti-ProviderContract Validation
• Technical Blueprint to Deliver True Interoperability Without Ever Granting Unrestricted Authority, Europe's DMA Complient Solution for Apple Siri
  [ Download version 2 for Updated solution ] Regulators now require that third-party AI assistants receive the same execution access as a platform’s own first-party assistant — whether that is Apple’s Siri or Google’s Android AI agents. Platform operators requi…
  datacite Das, Sangam 2026 置信度 0.66 Mobile SecurityInteroperabilityAndroidArtificial intelligenceThird Party AI Tools
• The IMDA Director Who Updated the Skeleton Without Building the Immune System.
  Singapore's IMDA published the world's first governance framework specifically for agentic AI on January 22 2026 and updated it to Version 1.5 on May 20 2026 incorporating feedback from over 60 organisations. The framework explicitly identifies cascading effec…
  datacite Sharma, Akhil, Sharma, Preethi 2026 置信度 0.66 IMDA Singapore Agentic AIMGF Version 1.0 SingaporeAgent Sprawl SingaporeCascade Failure Singapore InfrastructureConstitutional Command Singapore
• The IMDA Director Who Updated the Skeleton Without Building the Immune System.
  Singapore's IMDA published the world's first governance framework specifically for agentic AI on January 22 2026 and updated it to Version 1.5 on May 20 2026 incorporating feedback from over 60 organisations. The framework explicitly identifies cascading effec…
  datacite Sharma, Akhil, Sharma, Preethi 2026 置信度 0.66 IMDA Singapore Agentic AIMGF Version 1.0 SingaporeAgent Sprawl SingaporeCascade Failure Singapore InfrastructureConstitutional Command Singapore
• Affective Regulation Core: A Homeostatic Control Framework for Stable and Safe AI Agents
  As AI agents become more sophisticated, there is growing interest in endowing them with internal state representations analogous to affective states. However, affective states without regulation can lead to instability, perseverative loops (rumination), and vu…
  datacite Damián Reynoso, J. Eduardo 2026 置信度 0.66 affective computingAI safetyhomeostatic controlrumination benchmarkH-infinity robust control
• Affective Regulation Core: A Homeostatic Control Framework for Stable and Safe AI Agents
  As AI agents become more sophisticated, there is growing interest in endowing them with internal state representations analogous to affective states. However, affective states without regulation can lead to instability, perseverative loops (rumination), and vu…
  datacite Damián Reynoso, J. Eduardo 2026 置信度 0.66 affective computingAI safetyhomeostatic controlrumination benchmarkH-infinity robust control
• Management Research Notes: A File-Based Academic Knowledge Base for Management and Business Sustainability Research
  Management Research Notes is a portable, file-based academic knowledge base for management and business sustainability research. Each peer-reviewed article becomes one Markdown note with YAML frontmatter (trusted bibliographic metadata, a controlled-vocabulary…
  datacite Tang, Binqi 2026 置信度 0.66 management researchbusiness sustainabilitybusiness ethicsbusiness researchacademic research
• Management Research Notes: A File-Based Academic Knowledge Base for Management and Business Sustainability Research
  Management Research Notes is a portable, file-based academic knowledge base for management and business sustainability research. Each peer-reviewed article becomes one Markdown note with YAML frontmatter (trusted bibliographic metadata, a controlled-vocabulary…
  datacite Tang, Binqi 2026 置信度 0.66 management researchbusiness sustainabilitybusiness ethicsbusiness researchacademic research
• Replication Package for: The Devil Wears Markdown: Detecting Malicious Intent Hidden in AI Agent Skill Instructions through Hybrid Static, Dynamic, and Agentic Analysi
  This repository contains the official replication package for the paper titled "The Devil Wears Markdown: Detecting Malicious Intent Hidden in AI Agent Skill Instructions through Hybrid Static, Dynamic, and Agentic Analysis". This package provides all the nece…
  datacite Nguyen, Hoang-Ly 2026 置信度 0.66
• Replication Package for: The Devil Wears Markdown: Detecting Malicious Intent Hidden in AI Agent Skill Instructions through Hybrid Static, Dynamic, and Agentic Analysi
  This repository contains the official replication package for the paper titled "The Devil Wears Markdown: Detecting Malicious Intent Hidden in AI Agent Skill Instructions through Hybrid Static, Dynamic, and Agentic Analysis". This package provides all the nece…
  datacite Nguyen, Hoang-Ly 2026 置信度 0.66