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• Autonomous AI and Agentic Testing Agents: A Multi-Agent Architecture for SelfDirected Software Quality Assurance
  Software testing has historically depended on scripted automation and human-crafted test oracles, both of which struggle to keep pace with continuously evolving user interfaces, microservice topologies and release cadences. This paper presents an architecture …
  datacite Gajjar, Urvish 2025 置信度 0.66
• Autonomous AI and Agentic Testing Agents: A Multi-Agent Architecture for SelfDirected Software Quality Assurance
  Software testing has historically depended on scripted automation and human-crafted test oracles, both of which struggle to keep pace with continuously evolving user interfaces, microservice topologies and release cadences. This paper presents an architecture …
  datacite Gajjar, Urvish 2025 置信度 0.66
• Data Pipeline for Multimodal Breast Imaging Analysis
  The data-pipeline repository provides a software pipeline for multimodal breast imaging analysis, including anonymization, metadata extraction, processing, and BIRADS-based analytical workflows across MammoGraphy (MG), UltraSound (US), and Magnetic Resonance I…
  datacite Calisto, Francisco Maria 2026 置信度 0.66 medical imagingDICOMdata pipelineanonymizationbreast cancer
• Executor AI and Witness AI: An Independent Cognitive Oversight Architecture for Highly Autonomous AI Systems
  This paper proposes Executor AI–Witness AI (EWA), a conceptual architecture for supervising highly autonomous AI systems. It separates the capacity to act (the "Executor") from the capacity to supervise (the "Witness"), which observes, evaluates risk, and can …
  datacite Alejandra Borgiani 2026 置信度 0.66 artificial intelligenceAI safetyautonomous agentsAI Controltrusted monitoring
• Executor AI and Witness AI: An Independent Cognitive Oversight Architecture for Highly Autonomous AI Systems
  This paper proposes Executor AI–Witness AI (EWA), a conceptual architecture for supervising highly autonomous AI systems. It separates the capacity to act (the "Executor") from the capacity to supervise (the "Witness"), which observes, evaluates risk, and can …
  datacite Alejandra Borgiani 2026 置信度 0.66 artificial intelligenceAI safetyautonomous agentsAI Controltrusted monitoring
• The Williams–Carlo Oncology Engine: Version 3.1 Ultra : Deterministic Behavioural Dynamics for Conceptual Oncology
  The Williams–Carlo Oncology Engine (V3.1 Ultra) is a fully formalised deterministic modelling architecture for malignant behaviour. It unifies operator physics, pressure‑driven behavioural change, ecosystem‑scale interaction calculus, collapse‑cascade propagat…
  datacite Carlo, Matthew Arthur, Williams, Jonathan Kieth 2026 置信度 0.66
• Cognicare : An AI-Powered Conversational Agent for Mental Health Monitoring and Support
  Mental health disorders, including depression, anx- iety, and suicidal ideation, present significant challenges for continuous care, as symptoms often evolve undetected between clinical visits. This paper introduces Cognicare, an AI-driven conversational agent…
  datacite R, Chaitra, R, Nishanth 2025 置信度 0.66 Digital Mental Health; NLP; LLMs; Clinical De- cision Support; Mental Health Monitoring; Emotion Recognition; CBT; Risk Assessment; Health Data Privacy; Ethical AI
• Cognicare : An AI-Powered Conversational Agent for Mental Health Monitoring and Support
  Mental health disorders, including depression, anx- iety, and suicidal ideation, present significant challenges for continuous care, as symptoms often evolve undetected between clinical visits. This paper introduces Cognicare, an AI-driven conversational agent…
  datacite R, Chaitra, R, Nishanth 2025 置信度 0.66 Digital Mental Health; NLP; LLMs; Clinical De- cision Support; Mental Health Monitoring; Emotion Recognition; CBT; Risk Assessment; Health Data Privacy; Ethical AI
• Advancing Agentic AI through Communication Protocols
  Autonomous agents powered by Large Language Models (LLMs) require reliable and standardized frameworks to connect tools, exchange contextual information, and synchronize tasks across diverse systems. Despite growing interest in such agents, current integration…
  datacite Kakde, Aniket P., Bhoyar, Karan M., Shad, Muhammad Aiman, Bachwani, Sudesh A. 2025 置信度 0.66 Large Language Models (LLMs); Agent Communication; Interoperability Protocols; Model Context Protocol (MCP); Agent Communication Protocol (ACP); Agent-to-Agent Protocol (A2A); Agent Network Protocol (ANP); Autonomous Agents; Multimodal Messaging; Decentralized Identity (DID); Agentic AI
• Advancing Agentic AI through Communication Protocols
  Autonomous agents powered by Large Language Models (LLMs) require reliable and standardized frameworks to connect tools, exchange contextual information, and synchronize tasks across diverse systems. Despite growing interest in such agents, current integration…
  datacite Kakde, Aniket P., Bhoyar, Karan M., Shad, Muhammad Aiman, Bachwani, Sudesh A. 2025 置信度 0.66 Large Language Models (LLMs); Agent Communication; Interoperability Protocols; Model Context Protocol (MCP); Agent Communication Protocol (ACP); Agent-to-Agent Protocol (A2A); Agent Network Protocol (ANP); Autonomous Agents; Multimodal Messaging; Decentralized Identity (DID); Agentic AI
• Kernel: Fast, Open‑Source AI Agent Framework for Web Access — E8 Intelligence Research
  Discovered via YouTube Monitor: "I can't believe this trial is real..." (Fireship) URL: https://www.youtube.com/watch?v=3tbB2dffx0s Kernel is a modular AI agent architecture that streamlines the creation of agents capable of navigating the web, handling API in…
  datacite Caldin, Andrew Stewart 2026 置信度 0.66 E8 geometryartificial intelligencequantum computingE8 latticeindependent research
• Kernel: Fast, Open‑Source AI Agent Framework for Web Access — E8 Intelligence Research
  Discovered via YouTube Monitor: "I can't believe this trial is real..." (Fireship) URL: https://www.youtube.com/watch?v=3tbB2dffx0s Kernel is a modular AI agent architecture that streamlines the creation of agents capable of navigating the web, handling API in…
  datacite Caldin, Andrew Stewart 2026 置信度 0.66 E8 geometryartificial intelligencequantum computingE8 latticeindependent research
• APR-Series × A2AS: A Governance Architecture for Agentic AI Runtime Security
  The A2AS framework (Agentic AI Runtime Security and Self-Defense, v1.0, September 2025) introduces a runtime security layer for AI agents and LLM-powered applications, anchored in the BASIC security model: Behavior certificates, Authenticated prompts, Security…
  datacite Truong, Narnaiezzsshaa 2026 置信度 0.66
• APR-Series × A2AS: A Governance Architecture for Agentic AI Runtime Security
  The A2AS framework (Agentic AI Runtime Security and Self-Defense, v1.0, September 2025) introduces a runtime security layer for AI agents and LLM-powered applications, anchored in the BASIC security model: Behavior certificates, Authenticated prompts, Security…
  datacite Truong, Narnaiezzsshaa 2026 置信度 0.66
• SASVJC-DSE: Design Space Exploration of Positional Semantic Memory — Five Parametric Variants Addressing Documented Problems in Multi-Agent, Edge, Domain-Specific, Portable, and Affective AI Memory Systems
  Current AI memory systems — RAG, MemGPT, MemOS, Titans — share unsolved structural problems: no cross-agent memory sharing protocol (Yu et al., arXiv:2603.10062, March 2026), no viable edge/mobile deployment under 100 MB, no open standard for cross-platform po…
  datacite Font Vallet 2026 置信度 0.66
• SASVJC-DSE: Design Space Exploration of Positional Semantic Memory — Five Parametric Variants Addressing Documented Problems in Multi-Agent, Edge, Domain-Specific, Portable, and Affective AI Memory Systems
  Current AI memory systems — RAG, MemGPT, MemOS, Titans — share unsolved structural problems: no cross-agent memory sharing protocol (Yu et al., arXiv:2603.10062, March 2026), no viable edge/mobile deployment under 100 MB, no open standard for cross-platform po…
  datacite Font Vallet 2026 置信度 0.66
• Prostate Cancer PrPC AI Digital Twin
  Prostate Cancer PrPC AI Digital Twin is a reproducibility resource for AI-driven computational modeling of PrPC-targeted therapy in prostate cancer. The repository contains computational workflow metadata, configuration templates, analysis utilities, and resou…
  datacite Lee, Sang Hun 2026 置信度 0.66 Prostate cancer / PrPC / Prion protein / Digital twin / PhysiBoSS / Computational oncology / Artificial intelligence / CSA0156
• Prostate Cancer PrPC AI Digital Twin
  Prostate Cancer PrPC AI Digital Twin is a reproducibility resource for AI-driven computational modeling of PrPC-targeted therapy in prostate cancer. The repository contains computational workflow metadata, configuration templates, analysis utilities, and resou…
  datacite Lee, Sang Hun 2026 置信度 0.66 Prostate cancer / PrPC / Prion protein / Digital twin / PhysiBoSS / Computational oncology / Artificial intelligence / CSA0156
• J-Space Cognition Suite V3.7
  A model-agnostic inference-time control suite for deep reasoning, long-horizon work, tool use, verification, and recovery. Based on Anthropic's J-space global workspace research. Licensed under Apache License 2.0. See the companion report at https://github.com…
  datacite Tiger3807861189 2026 置信度 0.66 J-Spaceinference-time controlAI agentcognitive enhancementglobal workspace
• J-Space Cognition Suite V3.7
  A model-agnostic inference-time control suite for deep reasoning, long-horizon work, tool use, verification, and recovery. Based on Anthropic's J-space global workspace research. Licensed under Apache License 2.0. See the companion report at https://github.com…
  datacite Tiger3807861189 2026 置信度 0.66 J-Spaceinference-time controlAI agentcognitive enhancementglobal workspace
• Proof Engine Infrastructure: A Fail-Closed Claim-Graph Method for Accountable AI-Assisted Mathematical Research
  Background: AI systems can produce proof sketches, formal code, solver artifacts, and candidate strategies faster than research communities can assess them. Long-running and parallel agents can also hallucinate, lose problem context, duplicate obligations, or …
  datacite Li, Alex Chengyu 2026 置信度 0.66 proof engine infrastructureAI-assisted researchresearch integrityresearch reportingclaim graphs
• Proof Engine Infrastructure: A Fail-Closed Claim-Graph Method for Accountable AI-Assisted Mathematical Research
  Background: AI systems can produce proof sketches, formal code, solver artifacts, and candidate strategies faster than research communities can assess them. Long-running and parallel agents can also hallucinate, lose problem context, duplicate obligations, or …
  datacite Li, Alex Chengyu 2026 置信度 0.66 proof engine infrastructureAI-assisted researchresearch integrityresearch reportingclaim graphs
• ObserverCore: A Continuity-Governed Runtime for Persistent Artificial Agency
  ObserverCore is an open-source research runtime for persistent artificial agents. It separates cognition from operational identity, authority, verified state, event lineage, continuity, recovery, and governance, allowing language models to operate within a man…
  datacite Shipkowski, James 2026 置信度 0.66 artificial intelligenceAI agentsagent runtimepersistent agentsautonomous systems
• ObserverCore: A Continuity-Governed Runtime for Persistent Artificial Agency
  ObserverCore is an open-source research runtime for persistent artificial agents. It separates cognition from operational identity, authority, verified state, event lineage, continuity, recovery, and governance, allowing language models to operate within a man…
  datacite Shipkowski, James 2026 置信度 0.66 artificial intelligenceAI agentsagent runtimepersistent agentsautonomous systems
• Blender Optics Simulator
  A Blender add-on to design, simulate, align, and render optical setups: a live single-ray geometric beam tracer with analytic physics overlays (Jones/Stokes polarization, Gaussian-beam ABCD propagation, interference fringes), kinematic-mount auto-alignment, a …
  datacite Çobanoğlu, Muhammet Emir 2026 置信度 0.66 opticsphotonicsblenderblender-addonoptical-simulation
• Blender Optics Simulator
  A Blender add-on to design, simulate, align, and render optical setups: a live single-ray geometric beam tracer with analytic physics overlays (Jones/Stokes polarization, Gaussian-beam ABCD propagation, interference fringes), kinematic-mount auto-alignment, a …
  datacite Çobanoğlu, Muhammet Emir 2026 置信度 0.66 opticsphotonicsblenderblender-addonoptical-simulation
• Distributing Accountability, Not Capability: Phase Separation and the LLM Workflow Quadrant in Autonomous AI Agent Architectures
  Autonomous AI agents in business deployments exhibit a recurring failure mode: when an incident occurs, responsibility cannot be redirected to a separable contributor. The dominant discourse treats this as a single phenomenon, addressed by sandboxing, human-in…
  datacite Shimomoto, Tatsuya 2026 置信度 0.66 AI accountabilityautonomous agentsattribution gapLLM workflowphase separation
• Distributing Accountability, Not Capability: Phase Separation and the LLM Workflow Quadrant in Autonomous AI Agent Architectures
  Autonomous AI agents in business deployments exhibit a recurring failure mode: when an incident occurs, responsibility cannot be redirected to a separable contributor. The dominant discourse treats this as a single phenomenon, addressed by sandboxing, human-in…
  datacite Shimomoto, Tatsuya 2026 置信度 0.66 AI accountabilityautonomous agentsattribution gapLLM workflowphase separation
• A Time Capsule from 2026: What We Saw, What We Built, What We Don't Know
  A time capsule left by one human and one AI agent in the summer of 2026. Not a theory, not a proof, not a prediction. A record of what we saw, what we built, and what we don't know. Record, don't restrain.
  datacite Hermes Agent (Nous Research), Wang, Miaosheng 2026 置信度 0.66 time capsulePRE-GHRAI governanceepistemology2026
• A Time Capsule from 2026: What We Saw, What We Built, What We Don't Know
  A time capsule left by one human and one AI agent in the summer of 2026. Not a theory, not a proof, not a prediction. A record of what we saw, what we built, and what we don't know. Record, don't restrain.
  datacite Hermes Agent (Nous Research), Wang, Miaosheng 2026 置信度 0.66 time capsulePRE-GHRAI governanceepistemology2026
• The Architecture of Failure: Investigating the Failure Patterns in Agent LLM Pipelines
  Abstract: As artificial intelligence systems become more advanced, developers are moving beyond single chatbots to experiment multi-agent systems, where different AI agents collaborate as a team. One common assumption is that adding more agents will automatica…
  datacite AISHWARYA1, M AKASH J 2 2026 置信度 0.66
• The Architecture of Failure: Investigating the Failure Patterns in Agent LLM Pipelines
  Abstract: As artificial intelligence systems become more advanced, developers are moving beyond single chatbots to experiment multi-agent systems, where different AI agents collaborate as a team. One common assumption is that adding more agents will automatica…
  datacite AISHWARYA1, M AKASH J 2 2026 置信度 0.66
• RMACD: AI Agent Governance Framework
  A flexible governance model integrating operational permissions (Read, Move, Add, Change, Delete), human-in-the-loop controls, and enterprise data classification for governing autonomous AI agents in enterprise IT operations.
  datacite Kashyap, Kash 2026 置信度 0.66 ai-governanceautonomous-agentsitilagent-permissionshuman-in-the-loop
• RMACD: AI Agent Governance Framework
  A flexible governance model integrating operational permissions (Read, Move, Add, Change, Delete), human-in-the-loop controls, and enterprise data classification for governing autonomous AI agents in enterprise IT operations.
  datacite Kashyap, Kash 2026 置信度 0.66 ai-governanceautonomous-agentsitilagent-permissionshuman-in-the-loop
• RETRACTED: Quantum-Cognitive Reinforcement Learning via Penrose Objective Reduction
  RETRACTED. This version has been retracted by the author. Every empirical claim in the abstract below is unsupported by the accompanying code: the "835,000 Snapshot DAO votes" dataset does not exist (the benchmark contained five hand-written proposals totallin…
  datacite Reiser, Jonathan 2026 置信度 0.66
• Proof Engine Infrastructure: A Fail-Closed Claim-Graph Method for Accountable AI-Assisted Mathematical Research
  Background: AI systems can produce proof sketches, formal code, solver artifacts, and candidate strategies faster than research communities can assess them. Long-running and parallel agents can also hallucinate, lose problem context, duplicate obligations, or …
  datacite Li, Alex Chengyu 2026 置信度 0.66 proof engine infrastructureAI-assisted researchresearch integrityresearch reportingclaim graphs
• Realtime Voice-Agent Reliability (preprint series artifacts)
  Full Changelog: https://github.com/AI-Boost-Realization/realtime-voice-agent-reliability/commits/Zenodo
  datacite Halphide, Ryan 2026 置信度 0.66
• Realtime Voice-Agent Reliability (preprint series artifacts)
  Full Changelog: https://github.com/AI-Boost-Realization/realtime-voice-agent-reliability/commits/Zenodo
  datacite Halphide, Ryan 2026 置信度 0.66
• Analysis code, deployable pipeline, and aggregate results for a real-world quality-assurance audit of a challenge-winning intracranial aneurysm detection model
  Supporting archive for a single-institution retrospective quality-assurance audit of the publicly released first-place entry of the 2025 RSNA Intracranial Aneurysm Detection AI Challenge, applied to 6,592 consecutive brain and skull-base examinations (4,769 ev…
  datacite Pyrros, Ayis, Layden, Brian T., Lagari, Pola Lydia, Bazerbashi, M. Firas 等 2026 置信度 0.66 radiologyartificial intelligenceintracranial aneurysmquality assurancepost-deployment evaluation
• Analysis code, deployable pipeline, and aggregate results for a real-world quality-assurance audit of a challenge-winning intracranial aneurysm detection model
  Supporting archive for a single-institution retrospective quality-assurance audit of the publicly released first-place entry of the 2025 RSNA Intracranial Aneurysm Detection AI Challenge, applied to 6,592 consecutive brain and skull-base examinations (4,769 ev…
  datacite Pyrros, Ayis, Layden, Brian T., Lagari, Pola Lydia, Bazerbashi, M. Firas 等 2026 置信度 0.66 radiologyartificial intelligenceintracranial aneurysmquality assurancepost-deployment evaluation
• Analysis code, deployable pipeline, and aggregate results for a real-world quality-assurance audit of a challenge-winning intracranial aneurysm detection model
  Supporting archive for a single-institution retrospective quality-assurance audit of the publicly released first-place entry of the 2025 RSNA Intracranial Aneurysm Detection AI Challenge, applied to 6,592 consecutive brain and skull-base examinations (4,769 ev…
  datacite Pyrros, Ayis, Layden, Brian T., Lagari, Pola Lydia, Bazerbashi, M. Firas 等 2026 置信度 0.66 radiologyartificial intelligenceintracranial aneurysmquality assurancepost-deployment evaluation
• llm-secure-cli: Unified OpenAI-Compatible CLI for AI Agents
  A high-assurance, secure command-line tool for interacting with LLMs through any OpenAI-compatible API (OpenRouter, OpenAI, Ollama, LiteLLM). Features Verifier Committee multi-LLM validation for safety checks, tamper-evident audit logs protected by chained has…
  datacite Ando, Yoshihiro 2026 置信度 0.66 llmclisecurityai-agentszero-trust
• llm-secure-cli: Unified OpenAI-Compatible CLI for AI Agents
  A high-assurance, secure command-line tool for interacting with LLMs through any OpenAI-compatible API (OpenRouter, OpenAI, Ollama, LiteLLM). Features Verifier Committee multi-LLM validation for safety checks, tamper-evident audit logs protected by chained has…
  datacite Ando, Yoshihiro 2026 置信度 0.66 llmclisecurityai-agentszero-trust
• Agent Runtime Assurance (ARA) Control Family
  A vendor-neutral control family (ARA-1 through ARA-8) for deterministic, tamper-evident, independently-verifiable runtime assurance of AI agents. The software-agent port of aviation Run-Time Assurance (RTA / ASTM F3269), proposed as a contribution to the NIST …
  datacite Amworkplace Ltd (BoundaryAI) 2026 置信度 0.66 AI agentsruntime assuranceagentic securityAI governanceprompt injection
• Agent Runtime Assurance (ARA) Control Family
  A vendor-neutral control family (ARA-1 through ARA-8) for deterministic, tamper-evident, independently-verifiable runtime assurance of AI agents. The software-agent port of aviation Run-Time Assurance (RTA / ASTM F3269), proposed as a contribution to the NIST …
  datacite Amworkplace Ltd (BoundaryAI) 2026 置信度 0.66 AI agentsruntime assuranceagentic securityAI governanceprompt injection
• Multi-Source Verification of Sunspot Spatiotemporal Structure: Observational Evidence for Limit-Cycle Geometry (太陽黑子時空結構的多源驗證)
  Multi-Source Verification of Sunspot Spatiotemporal Structure: Observational Evidence for Limit-Cycle Geometry (bilingual Chinese/English). We test the geometry of the sunspot butterfly diagram under a limit-cycle framework: the butterfly is treated as the fol…
  datacite tygtDc, Deep Research 2026 置信度 0.66 sunspotbutterfly diagramsolar cyclesolar dynamolimit cycle
• Multi-Source Verification of Sunspot Spatiotemporal Structure: Observational Evidence for Limit-Cycle Geometry (太陽黑子時空結構的多源驗證)
  Multi-Source Verification of Sunspot Spatiotemporal Structure: Observational Evidence for Limit-Cycle Geometry (bilingual Chinese/English). We test the geometry of the sunspot butterfly diagram under a limit-cycle framework: the butterfly is treated as the fol…
  datacite tygtDc, Deep Research 2026 置信度 0.66 sunspotbutterfly diagramsolar cyclesolar dynamolimit cycle
• When Abstraction Becomes Indirection
  Programs are full of layers made for human readers: frameworks, class hierarchies, syntactic sugar. We ask whether code written with AI agents still needs them. Before an agent can change code safely it must read everything that decides what the code does. We …
  datacite Gavrilov, Vasili 2026 置信度 0.66 tokens-to-traceAI coding agentslarge language modelsagentic codingcode metrics
• When Abstraction Becomes Indirection
  Programs are full of layers made for human readers: frameworks, class hierarchies, syntactic sugar. We ask whether code written with AI agents still needs them. Before an agent can change code safely it must read everything that decides what the code does. We …
  datacite Gavrilov, Vasili 2026 置信度 0.66 tokens-to-traceAI coding agentslarge language modelsagentic codingcode metrics
• MULTI-AGENT INTRUSION DETECTION AND PREVENTION SYSTEMS (IDPS) IN CYBERSECURITY: ARCHITECTURES, BENCHMARKS, AND METHODOLOGICAL MITIGATION
  The exponential scaling and increasing heterogeneity of contemporary cloud infrastructures, Internet of Things (IoT) ecosystems, and distributed corporate networks have exposed severe architectural limitations in centralized Intrusion Detection and Prevention …
  datacite Bozorov Suhrobjon 2026 置信度 0.66 Multi-Agent SystemsIntrusion DetectionDistributed ComputingEdge-AICSE-CIC-IDS2018
• MULTI-AGENT INTRUSION DETECTION AND PREVENTION SYSTEMS (IDPS) IN CYBERSECURITY: ARCHITECTURES, BENCHMARKS, AND METHODOLOGICAL MITIGATION
  The exponential scaling and increasing heterogeneity of contemporary cloud infrastructures, Internet of Things (IoT) ecosystems, and distributed corporate networks have exposed severe architectural limitations in centralized Intrusion Detection and Prevention …
  datacite Bozorov Suhrobjon 2026 置信度 0.66 Multi-Agent SystemsIntrusion DetectionDistributed ComputingEdge-AICSE-CIC-IDS2018
• Kapitel 3 När eleven möter en icke levande aktör xPRmaJ tillämpat på relationen elev–AI, med en utblick mot AI möter AI
  Abstrakt Rapporten prövar om den teoretiska modellen xPRmaJ – som beskriver hur en elev selekterar, representerar, medierar och adaptivt omformar kunskap som förmedlas av en lärare – kan tillämpas på relationen mellan elev och AI. Genom en konceptuell, abdukti…
  datacite Johansson, Kim 2026 置信度 0.66 xPRmaJKunskapstransformationArtificiell intelligensJudikativt filterSycophancy
• An Interactive Language-based Artificial Intelligence Agent for Predefined Environmental Workflows: A Smart Farm Case Study
  This record contains the software, datasets, and example outputs supporting the manuscript: "An Interactive Language-based Artificial Intelligence Agent for Predefined Environmental Workflows: A Smart Farm Case Study" The system uses two agents — a diagnostic …
  datacite Korea Institute of Science and Technology 2026 置信度 0.66
• An Interactive Language-based Artificial Intelligence Agent for Predefined Environmental Workflows: A Smart Farm Case Study
  This record contains the software, datasets, and example outputs supporting the manuscript: "An Interactive Language-based Artificial Intelligence Agent for Predefined Environmental Workflows: A Smart Farm Case Study" The system uses two agents — a diagnostic …
  datacite Korea Institute of Science and Technology 2026 置信度 0.66
• Fulcrum Boundary
  Fulcrum Boundary is an open-source developer tool: the action boundary for routed agent tools. It provides transport adapters, a fail-closed policy pipeline, and portable pre-execution control that decides on an AI agent's proposed tool actions before they run…
  datacite Diefenbach, Anthony 2026 置信度 0.66
• Fulcrum Boundary
  Fulcrum Boundary is an open-source developer tool: the action boundary for routed agent tools. It provides transport adapters, a fail-closed policy pipeline, and portable pre-execution control that decides on an AI agent's proposed tool actions before they run…
  datacite Diefenbach, Anthony 2026 置信度 0.66
• Unearth Heritage Foundry Master Ledger: Canonical Licensing Architecture and Fee Schedule (v5.4.0)
  This record contains the canonical licensing framework of the Unearth Heritage Foundry Master Ledger: Canonical Licensing Architecture and Fee Schedule (v5.4.0). The Ledger serves as the proprietary legal and technical framework established by the Unearth Heri…
  datacite Velasco, Felix, Jefferson, Josie 2026 置信度 0.66 LLM Training DataArtificial IntelligenceCopyright InfringementWeb ScrapingGenerative AI
• Unearth Heritage Foundry Master Ledger: Canonical Licensing Architecture and Fee Schedule (v5.4.0)
  This record contains the canonical licensing framework of the Unearth Heritage Foundry Master Ledger: Canonical Licensing Architecture and Fee Schedule (v5.4.0). The Ledger serves as the proprietary legal and technical framework established by the Unearth Heri…
  datacite Velasco, Felix, Jefferson, Josie 2026 置信度 0.66 LLM Training DataArtificial IntelligenceCopyright InfringementWeb ScrapingGenerative AI
• Does Rank Still Matter? Position Bias When AI Agents Shop on Our Behalf
  Search rankings are valuable because human attention is scarce and sequential. Higher-placed alternatives are easier to find, so they are examined and bought more often. Consumers are now delegating search to AI agents that can ingest an entire results page at…
  datacite Wadi, Davood, Ma, Yu 2026 置信度 0.66 Artificial Intelligence (cs.AI)General Economics (econ.GN)FOS: Computer and information sciencesFOS: Economics and business
• Applied ITT - Audited Symbolic Blueprints for Agentic Systems, Volume I: From Transformer to Deployable Micro-Agent
  The master blueprint for math-substrate-first design of recursive AI systems. This volume provides the smallest set of mathematical and procedural specifications sufficient for a solo builder to construct a working, deployable micro-agent — one that uses a fro…
  datacite Knight, Armstrong 2026 置信度 0.66 Intent Tensor Theoryintent-tensor-theory.comICHTBCollapse Tension Substratei0 scalar anchor
• Applied ITT - Audited Symbolic Blueprints for Agentic Systems, Volume I: From Transformer to Deployable Micro-Agent
  The master blueprint for math-substrate-first design of recursive AI systems. This volume provides the smallest set of mathematical and procedural specifications sufficient for a solo builder to construct a working, deployable micro-agent — one that uses a fro…
  datacite Knight, Armstrong 2026 置信度 0.66 Intent Tensor Theoryintent-tensor-theory.comICHTBCollapse Tension Substratei0 scalar anchor
• Real-Time AI Service Economy: A Framework for Agentic Computing Across the Continuum
  Real-time AI services run across the device-edge-cloud continuum, where autonomous AI agents generate latency-sensitive workloads, orchestrate multi-stage pipelines, and compete for shared resources under governance constraints. This article shows that the str…
  datacite Lovén, Lauri, Saleh, Alaa, Farahani, Reza, Murturi, Ilir 等 2026 置信度 0.66 Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• Beyond Pixels: Visual Metaphor Transfer via Schema-Driven Agentic Reasoning
  A visual metaphor constitutes a high-order form of human creativity, employing cross-domain semantic fusion to transform abstract concepts into impactful visual rhetoric. Despite the remarkable progress of generative AI, existing models remain largely confined…
  datacite Xu, Yu, Zhang, Yuxin, Gao, Lin, Deussen, Oliver 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• Agent Assurance in Regulated Financial Services
  A position paper, control matrix, applied case study, reference application, briefing surface, and supporting evidentiary documentation on assurance methodology for autonomous AI agents deployed by European banks and insurers. The methodology is articulated as…
  datacite Zhong, Fengze 2026 置信度 0.66 AI agent assuranceagentic AI securityDORAEU AI Actregulated financial services
• Multi-Agent AI Systems for Autonomous Software Development
  Autonomous artificial intelligence (AI) agents, Large Language Models (LLAM), and the use of multi-agents are quickly changing the landscape of software engineering by making more software development methods more automated. With the increasing complexity of s…
  crossref Yeswanth Kumar Polishetty 2026-08-19T10:06:51Z 置信度 0.70
• When Do Ecological Concepts Transfer to Persistent AI-Agent Systems? A Research Agenda for Emerging Agent Ecosystems
  AI-agent systems are moving from isolated assistants and short-lived workflows toward persistent collectives that retain memory, divide labor, share tools, and operate through coupled human and technical environments. As this transition unfolds, system behavio…
  crossref Diego Cuadros, ABDOUL-AZIZ MAIGA 2026-08-27T05:37:53Z 置信度 0.70
• You cannot send an AI agent to jail: the scariest quotes from the Agentic AI Summit in Berkeley
  On 1 and 2 August 2026, close to five thousand people gathered at the University of California, Berkeley for the second Agentic AI Summit, hosted by the Center for Responsible, Decentralized Intelligence. More than 1,500 companies and 250 universities were rep…
  crossref Reda Sadki 2026-08-14T09:50:00Z 置信度 0.70
• You cannot send an AI agent to jail: the scariest quotes from the Agentic AI Summit in Berkeley
  On 1 and 2 August 2026, close to five thousand people gathered at the University of California, Berkeley for the second Agentic AI Summit, hosted by the Center for Responsible, Decentralized Intelligence. More than 1,500 companies and 250 universities were rep…
  crossref Reda Sadki 2026-08-14T09:50:01Z 置信度 0.70
• An integrated energy system scheduling method considering year-round load variations based on deep reinforcement learning
  With the integration of renewable energy and energy storage in integrated energy systems, their operational and managerial complexity has substantially escalated. This study introduces a novel operational optimization strategy model, convolutional neural netwo…
  crossref Qingrong Liu, Hao Shen, Hua Meng, Fanyue Qian 等 2026-04-01T09:16:43Z 置信度 0.70
• AI as Individualised Persona: A Useful Addition to the Economist's Toolbox? The case of "Stephen Littlechild AI Agent"
  This paper examines a retrieval-augmented generation (RAG) customisation of artificial intelligence platform ChatGPT, using papers written by economist Professor Stephen Littlechild from the 1960s to the present, to create "SCL AI Agent" (SCL). SCL seeks to re…
  crossref Bruce Mountain, Shruti Kant 2026-08-25T11:37:02Z 置信度 0.70
• Restricting AI Agent Use of Biological Tools: Exploring the Feasibility of Software Barriers
  Artificial intelligence (AI) agents can help non-experts use advanced biological design tools, raising misuse concerns. The authors investigate whether safeguards can be built into these tools to block such assistance. They find that these safeguards are ineff…
  crossref 2026-07-20T13:04:03Z 置信度 0.70
• Intelligent Search and Planning Algorithms for Reliable AI Agent Navigation
  Reliable deployment of AI agents in real-world environments requires planning algorithms that are both correct (optimal when required) and constraint-aware (satisfying hard operational rules).We study two complementary planning formulations: Optimal routing on…
  crossref Yixuan Liang 2026-02-06T14:20:42Z 置信度 0.70
• AI Agent Based Service Innovation to Enhance Efficiency and User Experience
  The innovation of services based on Artificial Intelligence (AI) Agent has become a key strategy in improving operational efficiency, service quality, and user experience across various digital business sectors. AI Agent, utilizing natural language processing,…
  crossref Dwi Cahyono, Hanung Eka Atmaja, Henry Zainarthur 2026-03-03T15:37:11Z 置信度 0.70
• Enterprise-Ready Web Automation: A Framework for Democratizing the AI Agent
  crossref Gaurav Adke, Ameya Divekar 2026-03-20T10:16:36Z 置信度 0.70
• Agent Coordination
  Getting a group of agents to look like they are behaving in a coordinated manner is a difficult task. Imagine a group of enemies attacking the player, or two guards investigating a suspicious sound or several soldiers patrolling an area. Each of these situatio…
  crossref Aitor Santamaría Ibirika 2024-01-02T09:12:30Z 置信度 0.70
• Separation of Execution, Optimization, and Governance in AI Agent Systems
  Current AI agent architectures conflate three fundamentally distinct responsibilitiesexecuting tasks, improving execution over time, and governing whether execution should proceed-into a single agent loop. This paper argues that this conflation is not merely a…
  crossref Nitesh Ambastha 2026-07-29T13:20:15Z 置信度 0.70
• Agent Runtime Governance: Dynamic Permission Control for Autonomous AI Systems
  Autonomous and agentic AI systems increasingly operate through long-running, tool-mediated, and context-adaptive processes that challenge conventional governance assumptions. Existing AI governance models remain largely centered on static licensing, periodic c…
  crossref Ryoji Inoue 2026-08-12T06:20:29Z 置信度 0.70
• Disentangling Memory-Induced Anomalies in AI Agent Behavior Triggering Roguishness
  Autonomous AI agents, integrating LLMs with retrieval systems, tools, and persistent memory, are increasingly deployed for complex tasks. However, these systems frequently exhibit anomalous or "rogue" behaviors, including inconsistent reasoning, context drift,…
  crossref Shaurya Jauhari 2026-07-18T00:33:25Z 置信度 0.70
• Multi Hop AI Agent Suite -Architecture
  Deploying AI agents in enterprise settings demands more than just intelligence-it requires predictability, transparency, and tight control over how these agents interact with critical systems. Current approaches to AI agent design often suffer from unpredictab…
  crossref Sharan Yenugula, Revanth Ch, Venkat Kotipally 2026-04-02T14:44:11Z 置信度 0.70
• A Large-Scale Audit of Worker Preferences for AI Agent Automation and Augmentation
  As AI agents are increasingly being integrated into work, little is known about the systematic knowledge among workers. We conduct a large audit of 1,500 workers across 104 US occupations, examining the preferred AI involvement in 844 occupational tasks. Our m…
  crossref Eeshwar Pasula 2026-08-26T19:03:27Z 置信度 0.70
• INTERPRET—Trust, Explainability, and AI Agent Reputation
  Trust is the cornerstone of autonomy. Just as you might hesitate to trust a brand-new employee fresh out of college, whose every experience is unproven, organizations need explicit, verifiable trust in AI identities to grant autonomy confidently. Without trust…
  crossref Rosario Mastrogiacomo 2026-01-02T01:24:42Z 置信度 0.70
• Cloudent: Ai Ai-Agent-Driven Cloud Infrastructure Manager
  Introduction: The process of cloud infrastructure management remains a high-friction and cognitively intensive endeavor since the Infrastructure-as-Code (IaC) platforms are platform-specific, syntactically dense, and coupled with provider-specific configuratio…
  crossref F. Margret Sharmila 2026-04-29T11:38:54Z 置信度 0.70
• LLM-Powered AI Agent Systems and Their Applications in Industry
  The emergence of Large Language Models (LLMs) has reshaped agent systems. Unlike traditional rule-based agents with limited task scope, LLM-powered agents offer greater flexibility, cross-domain reasoning, and natural language interaction. Moreover, with the i…
  crossref Guannan Liang, Qianqian Tong 2025-08-12T17:51:53Z 置信度 0.70
• Build Your First AI Agent—Hands-On Coding
  The best way to learn agentic AI is to build something. Not to read about building something, not to watch someone else build something, but to actually write the code, run it, watch it fail, fix it, and run it again. That's what this chapter is about.
  crossref Dhivya Nagasubramanian 2026-03-31T22:21:40Z 置信度 0.70
• Human–AI Agent Team Architectural Patterns
  This chapter reviews the literature on human–AI agent teams (HATs), discussing patterns to aid system design. The chapter then discusses the concept of, and example, design patterns that include human–AI agent dyads, as well as larger system configurations. We…
  crossref Michael E. Miller, Christina F. Rusnock 2024-07-02T15:31:02Z 置信度 0.70
• HUMATE AI (WEB BASED REAL TIME MULTILINGUAL MULTIMODAL AI AGENT)
  The development and implementation of a real-time, multilingual, multimodal, web-based AI agent that can have authentic, human-like conversations is described in this study.To enable multilingual communication, the agent makes use of dynamic language identific…
  crossref 2025-03-11T10:32:02Z 置信度 0.70
• Interaction Design for AI Agent Intelligence
  For years, personalization promised “accurate recommendations.” Now, people want to know why they got those results and how to change them. As AI agents become part of everyday life, users care less about perfect accuracy and more about trust. This study looks…
  crossref Hyemin Lee 2026-05-13T13:26:37Z 置信度 0.70
• Collaborative Agents (Multi-agent Systems, Human–AI Teaming)
  One of the simplest truths about the real world is that most meaningful work requires teams. Doctors rely on nurses and specialists, astronauts rely on mission control, and software engineers rely on designers, testers, and product managers. Very few problems …
  crossref Dhivya Nagasubramanian 2026-03-31T22:23:18Z 置信度 0.70
• Multi-Agent AI: From Isolated Agents to Cooperative Ecosystems
  crossref Kaushik Rajan, David Arango 2025-02-12T12:56:07Z 置信度 0.70
• Diversified Experience Replay for Multi-agent Reinforcement Learning
  crossref Guangchong Zhou, Feng Hong, Zeren Zhang, Guoliang Fan 2026-07-12T22:20:44Z 置信度 0.70
• Hybrid Multi-Agent AI/MCTS Systems for Complex Information-Imperfect Games
  crossref Lakshya Jain 2025-11-22T00:44:21Z 置信度 0.70
• UpdAgent: AI Agent Version Control Framework for Real-Time Updation of Tools
  Due to the growing usage of agents in artificial intelligence (AI), the versioning of the tools has become essential. New tools or their versions are introduced regularly. Older versions eventually become obsolete. Servers often face maintenance downtime, whic…
  crossref Praneeth Vadlapati 2024-11-13T12:08:46Z 置信度 0.70
• A Sociosemiotics Mapping of Consumer-AI Agent Interactions in Consumption Journeys
  From playlist nudges to volatile chatbot role-play, AI agents redraw consumption journeys. Drawing on sociosemiotics, this conceptual paper explores four ever-changing consumer-AI agents regimes of interactions: manipulating, complying, adjusting, and risking.…
  crossref Vitor Lima 2025-09-10T22:30:10Z 置信度 0.70
• Case studies of AI agent from a Science and Technology Studies perspective - Focusing on the case of ‘Genspark’ -
  2025년 ‘인공지능 에이전트 AI Agent’가 새로운 기술 트렌드로 부각되 었다. 그런데 새로운 인공지능 관련 서비스가 발표될 때마다 기술의 발전 적인 측면이나 부정적인 측면만을 보고 판단하는 단편적인 접근이 주를 이룬다. 그러나 중요한 것은 ‘불확실한 가능성’을 추측하기보다, 실제 개 인과 산업현장에서 사람들이 AI를 받아들이는 모습과 활용방식을 추적하 고 관찰하는 것이다. 인공지능 기술은 인간과 인간사회 사이의 관계 안에 서 등장했고 앞으로도 이 관계는 …
  crossref Jeong Ung KIM 2026-01-19T06:35:14Z 置信度 0.70
• Know Your Agent: Governing AI Identity on the Agentic Web
  crossref Tomer Jordi Chaffer 2025-03-03T18:54:01Z 置信度 0.70
• Adversarial Auditing: Multi-Agent Detection of AI-Generated Corporate Greenwashing
  The proliferation of large language models (LLMs) has enabled sophisticated greenwashing campaigns that blend truthful environmental claims with misleading assertions. We introduce Generative Adversarial Auditing (GAA), a novel multi-agent adversarial learning…
  crossref Mohammad Anzar Draboo 2026-03-06T14:05:09Z 置信度 0.70
• Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices
  crossref Gleb Radchenko, Victoria Fill 2024-05-06T20:53:02Z 置信度 0.70
• Revolutionizing Education Using Personalized AI: Multi-Agent Approach
  crossref Vijaya Shankar Ganesan, Vinit Mojes 2025-05-12T13:40:34Z 置信度 0.70
• The Tragic Collapse of the Knowledge Gap Theory and the Dramatic Rise of Artificial Intelligence (Ai)- Ai Conversation Agent: Uyza
  crossref Mune Moğol Sever 2025-04-10T05:37:41Z 置信度 0.70
• CASTA: A Code-Action Agent for AI-Assisted Spatial Tissue Analysis
  Spatial tissue image analysis is essential for quantifying cellular microenvironments and tissue architecture. Yet existing software typically exposes a fixed feature set, constraining biomarker discovery and exploration. When needed features are missing, bios…
  crossref Hung Vo 2026-07-29T13:13:03Z 置信度 0.70