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• Closing the Gap Between Organizational Models and Multi-Agent System Deployment
  crossref Michael Köhler, Matthias Wester-Ebbinghaus 2007-09-12T07:10:25Z 置信度 0.70
• MULTI-AGENT SYSTEM MODEL FOR DISTRIBUTED POWER MANAGEMENT SIMULATION
  crossref 2011-02-21T18:38:59Z 置信度 0.70
• Towards Genetically Optimised Multi-Agent Multi-Issue Negotiations
  Classical negotiation models are based on a centralised decision making approach which assumes the availability of complete information about negotiators and unlimited computational resources. These negotiation mechanisms are ineffective for supporting real-wo…
  crossref R.Y.K. Lau 2005-04-01T15:16:50Z 置信度 0.70
• Multi-agent Based Simulation of Animal Food Selective Behavior in a Pastoral System
  crossref Islem Henane, Lamjed Ben Said, Sameh Hadouaj, Nasr Ragged 2010-06-20T19:59:07Z 置信度 0.70
• Strategic Searching Approaches in a Multi-Robot System
  crossref 2011-02-21T12:54:58Z 置信度 0.70
• Externalisation and Internalization: A New Perspective on Agent Modularisation in Multi-Agent System Programming
  crossref Alessandro Ricci, Michele Piunti, Mirko Viroli 2010-06-08T14:57:30Z 置信度 0.70
• Preference-based multi-objective multi-agent path finding
  crossref Florence Ho, Shinji Nakadai 2022-12-23T10:04:07Z 置信度 0.70
• Distributed Data Mining System Based on Multi-agent Communication Mechanism
  crossref Sung Gook Kim, Kyeong Deok Woo, Jerzy Bala, Sung Wook Baik 2010-06-17T04:31:40Z 置信度 0.70
• Central Anti-Money Laundering control system using agents technology
  The criminal individuals and organizations in today's world including terrorists have taken advantage of the available financial systems, to launder money from illegal proceeds and for their illegal activities. India is particularly under threat from terrorist…
  crossref G. Hemalatha, Rejo Mathews 2009-09-08T10:42:21Z 置信度 0.70
• Library Services as Multi Agent System
  crossref Toshiro Minami 2008-04-01T16:15:40Z 置信度 0.70
• A Multiagent System for the Reliable Execution of Automatically Composed Ad-hoc Processes
  crossref Walter Binder, Ion Constantinescu, Boi Faltings, Klaus Haller 等 2006-02-24T02:42:45Z 置信度 0.70
• SWARM: A Multi-agent System for Layout Automation in Analog Integrated Circuit Design
  crossref Daniel Marolt, Jürgen Scheible, Göran Jerke, Vinko Marolt 2016-05-31T03:49:06Z 置信度 0.70
• Design and Implementation of Security Mechanisms for a Hierarchical Community-Based Multi-Agent System
  crossref Kenichi Takahashi, Yoshiki Mitsuyuki, Tsunenori Mine, Kouichi Sakurai 等 2009-04-20T10:12:15Z 置信度 0.70
• BioMaster: Multi-agent system for automated bioinformatics analysis workflow.
  The growing volume and complexity of biological data have made bioinformatics workflows increasingly labor-intensive, error-prone, and difficult to scale. Large language model-based agents offer potential for automation but often fail in complex, multi-step an…
  europepmc 2026 置信度 0.80
• PlantAI: A Multi-Agent System for Plant Functional Genomics Analysis and Biological Knowledge Interpretation
  Plant functional genomics requires the integration of sequence, expression, evolutionary, regulatory and literature evidence. However, the corresponding analyses are often distributed across disparate programs, scripts and databases, creating substantial barri…
  europepmc 2026 置信度 0.80
• Silent Entropy and Structural Fragility: How Communication Isolation, Coordination Debt, Adversarial Symmetry, Consensus Illusions, and Topology-Memory Coupling Jointly Define a Candidate Failure Taxonomy for Deployed Multi-Agent LLM Systems
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. As large language model (LLM)-based multi-agent systems (MAS) move from research benchmarks into o…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Hardware-rooted attestation for AI-agent evidence: composing IETF RATS with action evidence packages
  Version 3 (31 July 2026) is a correction of version 2 (17 July 2026, archived under the same concept DOI). No claim, result, experiment, figure or measurement changed. Three corrections were applied: Reference [4] corrected. It described a companion manuscript…
  datacite Sokolov, Anton 2026 置信度 0.66 attestationAI agentsRATSIETFTPM
• Hardware-rooted attestation for AI-agent evidence: composing IETF RATS with action evidence packages
  Version 3 (31 July 2026) is a correction of version 2 (17 July 2026, archived under the same concept DOI). No claim, result, experiment, figure or measurement changed. Three corrections were applied: Reference [4] corrected. It described a companion manuscript…
  datacite Sokolov, Anton 2026 置信度 0.66 attestationAI agentsRATSIETFTPM
• Prompt Resource Recycling: A Low-Compute Architecture for Converting User Demand into Reusable Intelligence Assets
  This paper proposes Prompt Resource Recycling (PRR), a low-compute architecture for operating large language model services under increasing inference-cost, memory, and energy constraints. Instead of treating user prompts as disposable one-time requests, PRR t…
  datacite Trinity Labo 2026 置信度 0.66
• Prompt Resource Recycling: A Low-Compute Architecture for Converting User Demand into Reusable Intelligence Assets
  This paper proposes Prompt Resource Recycling (PRR), a low-compute architecture for operating large language model services under increasing inference-cost, memory, and energy constraints. Instead of treating user prompts as disposable one-time requests, PRR t…
  datacite Trinity Labo 2026 置信度 0.66
• AEGIS Supplemental Material B: Structured-Review and Evidence Appendix to AEGIS: A Portable Evidence Interface Between AI-Agent Logging Duties and Independent Audit
  This independently citable appendix supplies the positioning evidence for the AEGIS architecture paper: motivating cases; the regulatory-interface mapping; the structured-review method, 25-item frozen corpus, 23-row coded matrix, partial second rating, the 14 …
  datacite Li, Alex Chengyu 2026 置信度 0.66 AEGISAI agent accountabilitystructured reviewthird-party auditindependent audit repository
• AEGIS Supplemental Material B: Structured-Review and Evidence Appendix to AEGIS: A Portable Evidence Interface Between AI-Agent Logging Duties and Independent Audit
  This independently citable appendix supplies the positioning evidence for the AEGIS architecture paper: motivating cases; the regulatory-interface mapping; the structured-review method, 25-item frozen corpus, 23-row coded matrix, partial second rating, the 14 …
  datacite Li, Alex Chengyu 2026 置信度 0.66 AEGISAI agent accountabilitystructured reviewthird-party auditindependent audit repository
• A Verification Protocol for AI-Assisted Independent Research: Failure Modes and Reproducible Controls from a Single-Author Corpus
  Large language models (LLMs) allow a single investigator to produce technical manuscripts at a rate and surface polish far exceeding their unaided capacity to verify the content. That polish is the hazard: model output is fluent, conventionally formatted, and …
  datacite Kilgore, Brian P. 2026 置信度 0.66 AI-assisted researchresearch integrityautomation biaslarge language modelsverification
• A Verification Protocol for AI-Assisted Independent Research: Failure Modes and Reproducible Controls from a Single-Author Corpus
  Large language models (LLMs) allow a single investigator to produce technical manuscripts at a rate and surface polish far exceeding their unaided capacity to verify the content. That polish is the hazard: model output is fluent, conventionally formatted, and …
  datacite Kilgore, Brian P. 2026 置信度 0.66 AI-assisted researchresearch integrityautomation biaslarge language modelsverification
• Hierarchical Temporal Segmentation as a Shared Computational Primitive: How Metastable Neural States, Event Boundaries, Chaotic Regularization, Predictive Coding, and Goal-Conditioned Dynamics Jointly Constrain Cognition-Aligned Inference
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. A recurring structural pattern across recent computational neuroscience and cognitive AI literatur…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• PREreview of "Human-AI Collaboration for Estimating Scientific Replicability"
  This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/21482056. Summary Questions: (RQ1) To what extent can hybrid human-AI prediction markets more accurately forecast the out…
  datacite Chocolate Lobster, Haofu Huang, Quratul Ayn Zahara, Raimi Morufu Olalekan (BSc. M.Sc. Ph.D. MNES, REHO, LEHO, FAIWMES)) 等 2026 置信度 0.66
• PREreview of "Human-AI Collaboration for Estimating Scientific Replicability"
  This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/21482056. Summary Questions: (RQ1) To what extent can hybrid human-AI prediction markets more accurately forecast the out…
  datacite Chocolate Lobster, Haofu Huang, Quratul Ayn Zahara, Raimi Morufu Olalekan (BSc. M.Sc. Ph.D. MNES, REHO, LEHO, FAIWMES)) 等 2026 置信度 0.66
• EPOB: End-to-End Project Orchestration Benchmark - Evaluating Multi-Agent AI Frameworks
  Existing evaluations of LLM-based agents emphasize single-task capability, such as question answering, code generation, tool use, or bounded workflow completion. Many real deployments, however, require a broader systems capability: executing a project through …
  datacite Scott, Nathan 2026 置信度 0.66
• EPOB: End-to-End Project Orchestration Benchmark - Evaluating Multi-Agent AI Frameworks
  Existing evaluations of LLM-based agents emphasize single-task capability, such as question answering, code generation, tool use, or bounded workflow completion. Many real deployments, however, require a broader systems capability: executing a project through …
  datacite Scott, Nathan 2026 置信度 0.66
• Compilation Contracts and Runtime Guarantees: How Structural Type Enforcement, Trace-Guided Repair, Numeric Format Registries, and Harness Governance Jointly Define a Falsifiable Framework for Software Correctness Infrastructure
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. This paper advances a candidate reading — explicitly heuristic rather than derivational — that a c…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Agentic Code Surgery for Brownfield Systems
  AI coding assistants are more helpful in greenfield development than for modifying brownfield code — large, undertested, poorly-maintained systems that make up the majority of professional programming. Left to their defaults, these assistants read a few files,…
  datacite Ganesan, Vivek, Sekar, Kamal Raj, Kashyap, Kiran 2026 置信度 0.66 Artificial intelligenceSoftware development
• Agentic Code Surgery for Brownfield Systems
  AI coding assistants are more helpful in greenfield development than for modifying brownfield code — large, undertested, poorly-maintained systems that make up the majority of professional programming. Left to their defaults, these assistants read a few files,…
  datacite Ganesan, Vivek, Sekar, Kamal Raj, Kashyap, Kiran 2026 置信度 0.66 Artificial intelligenceSoftware development
• Trust in the Dark: Maintaining Map Fidelity Under Corruption, Cost, and Substrate Decay
  Description / Abstract:Trust in the Dark is an agent-based study, with a pre-registered Python/NumPy simulatorsuite, of how a system keeps a true-enough model of a partly-hidden, drifting, andadversarial world — the problem of *map fidelity*. It is one part of…
  datacite Schulz, Matthew 2026 置信度 0.66 artificial lifeagent-based modelingcyberneticsinformation theorytrust and verification
• Trust in the Dark: Maintaining Map Fidelity Under Corruption, Cost, and Substrate Decay
  Description / Abstract:Trust in the Dark is an agent-based study, with a pre-registered Python/NumPy simulatorsuite, of how a system keeps a true-enough model of a partly-hidden, drifting, andadversarial world — the problem of *map fidelity*. It is one part of…
  datacite Schulz, Matthew 2026 置信度 0.66 artificial lifeagent-based modelingcyberneticsinformation theorytrust and verification
• Content Ecosystem Failures: How Originality Penalties, Homogenization Feedback, Monoculture Lock-In, and Noise Correlation Jointly Define a Structural Pattern in Information Markets
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. Information markets—systems where content is created, curated, aggregated, and consumed—face a cla…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Quantum Channel Geometry as a Candidate Metrological Resource: How Purification Scaling, Exceptional-Point Sensitivity, Optomechanical Amplification, Certified Sensing, and Noise Superposition May Jointly Constrain Precision Estimation
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. Quantum metrology has long been framed around state preparation and measurement design, but a stru…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Intelligent Multi-Agent AI System with Predictive Analysis
  Efficient code review procedures are essential in modern software development in order to guarantee software quality, security, and maintainability. Traditional approaches to code review are usually time-consuming, rely on the expertise of the reviewers, and a…
  datacite Suresh, Yashas R Gowda, Tejas A, Yashwanth L, Bhavya B V 2026 置信度 0.66
• Intelligent Multi-Agent AI System with Predictive Analysis
  Efficient code review procedures are essential in modern software development in order to guarantee software quality, security, and maintainability. Traditional approaches to code review are usually time-consuming, rely on the expertise of the reviewers, and a…
  datacite Suresh, Yashas R Gowda, Tejas A, Yashwanth L, Bhavya B V 2026 置信度 0.66
• AI Safety Compass Core Semantic Package: A Stable Machine-Readable Contract for AI Safety Research and System Design
  AI safety knowledge is distributed across research papers, empirical evaluations, control architectures, assurance arguments, operational records, incident analyses, and long-horizon task trajectories. These materials are produced for different purposes and of…
  datacite Liu, Ran, Huang, Xiaowei 2026 置信度 0.66 AI safetysafety assurancesemantic interoperabilityontologymachine-readable framework
• AI Safety Compass Core Semantic Package: A Stable Machine-Readable Contract for AI Safety Research and System Design
  AI safety knowledge is distributed across research papers, empirical evaluations, control architectures, assurance arguments, operational records, incident analyses, and long-horizon task trajectories. These materials are produced for different purposes and of…
  datacite Liu, Ran, Huang, Xiaowei 2026 置信度 0.66 AI safetysafety assurancesemantic interoperabilityontologymachine-readable framework
• Content Ecosystem Failures: How Originality Penalties, Homogenization Feedback, Monoculture Lock-In, and Noise Correlation Jointly Define a Structural Pattern in Information Markets
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. Information markets—systems where content is created, curated, aggregated, and consumed—face a cla…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• PelicanPlatform/pelican: v7.27.0-rc.0
  Changelog 137b9e9ad2f6adbd039b32ea0124e60da2129089 Add tests for SetBrokerURL fbb7ea441dc9751b96e3a1be8639e796f3ab642f "Silence usage" for 'pelican token' commands 99ab90b4a86a69c36cec12c6acb538b164dc805b A helper func to consolidate the common logics in Serve…
  datacite Justin Hiemstra, Brian P Bockelman, Haoming Meng, Patrick Brophy 等 2026 置信度 0.66
• PelicanPlatform/pelican: v7.26.0-rc.0
  Changelog 137b9e9ad2f6adbd039b32ea0124e60da2129089 Add tests for SetBrokerURL fbb7ea441dc9751b96e3a1be8639e796f3ab642f "Silence usage" for 'pelican token' commands 99ab90b4a86a69c36cec12c6acb538b164dc805b A helper func to consolidate the common logics in Serve…
  datacite Justin Hiemstra, Haoming Meng, Brian P Bockelman, Patrick Brophy 等 2026 置信度 0.66
• The Cognitive Exoskeleton: A Structured Pipeline for Augmented Intelligence in Scientific Formulation and Evidence Synthesis
  Abstract Background: The exponential growth of scientific literature and the integration of Large Language Models (LLMs) into research workflows represent a fundamental epistemological shift. The scientific community is rapidly moving from search-based literat…
  datacite Nilsson, Jan-Peter 2026 置信度 0.66 Artificial IntelligenceLLMGPT
• AI Based Engineering:被掩盖的物理事实与权力结构的认识论自杀(AI Based Engineering: The Concealed Physical Fact and the Epistemological Suicide of Power Structures)
  中文摘要: 当前关于AI编程的讨论被"效率革命"的叙事完全劫持。本文指出一个被故意隐瞒的物理事实:AI之所以能实现指数级的量与速,本质在于它是无责任的概率瞎编——它不需要建立心智模型、不需要验证因果链条、不需要对后果负责,因此可以每秒吐出数百token、一次性跨越五个模块、瞬间生成数千页文档与不可穷尽的测试用例。而人类审查受限于工作记忆(7±2组块)、阅读速度(200–400符号/分钟)与持续专注时间(约45分钟),在物理上不可能看完、记住、理解、测试这些海量产出。这不是"管理问题",不是"流程缺陷",不是"AI不…
  datacite 莉莉娜大主教的恶意 2026 置信度 0.66
• The Cognitive Exoskeleton: A Structured Pipeline for Augmented Intelligence in Scientific Formulation and Evidence Synthesis
  Abstract Background: The exponential growth of scientific literature and the integration of Large Language Models (LLMs) into research workflows represent a fundamental epistemological shift. The scientific community is rapidly moving from search-based literat…
  datacite Nilsson, Jan-Peter 2026 置信度 0.66 Artificial IntelligenceLLMGPT
• The Cognitive Exoskeleton: A Structured Pipeline for Augmented Intelligence in Scientific Formulation and Evidence Synthesis
  Abstract Background: The exponential growth of scientific literature and the integration of Large Language Models (LLMs) into research workflows represent a fundamental epistemological shift. The scientific community is rapidly moving from search-based literat…
  datacite Nilsson, Jan-Peter 2026 置信度 0.66 Artificial IntelligenceLLMGPT
• Foundations of Strategic Computing in AI Systems: SKS Whitepaper (v4.4)
  This whitepaper introduces Strategy Knowledge Science (SKS) as a formal framework for representing strategic environments as computable state-spaces. It presents the evolution of the original OS2x2 architecture into the broader SK2x2 Platform. Within SK2x2, St…
  datacite Binom, Igor 2026 置信度 0.66 Strategy Knowledge Science;SKS;Strategy Knowledge LanguageSKLSK2x2
• When AI Teammates Meet Code Review: Collaboration Signals Shaping the Integration of Agent-Authored Pull Requests
  Autonomous coding agents increasingly contribute to software development by submitting pull requests on GitHub; yet, little is known about how these contributions integrate into human-driven review workflows. We present a large empirical study of agent-authore…
  crossref Costain Nachuma, Minhaz Zibran 2026-07-31T10:42:54Z 置信度 0.70
• Learning by Interaction: A Narrative Review of Reinforcement Learning from Dynamic Programming to Deep Policy Optimization
  Reinforcement learning is the computational study of goal-directed learning from interaction: an agent learns to act by trial, error, and reward, without being told which actions to take. This article presents a narrative review of the canonical literature thr…
  datacite Revista, Zen, IA, 10 2026 置信度 0.66 reinforcement learningtemporal difference learningQ-learningpolicy gradientdynamic programming
• Learning by Interaction: A Narrative Review of Reinforcement Learning from Dynamic Programming to Deep Policy Optimization
  Reinforcement learning is the computational study of goal-directed learning from interaction: an agent learns to act by trial, error, and reward, without being told which actions to take. This article presents a narrative review of the canonical literature thr…
  datacite Revista, Zen, IA, 10 2026 置信度 0.66 reinforcement learningtemporal difference learningQ-learningpolicy gradientdynamic programming
• Trascendence: The Wanton Problem, Can an AI Colleague Develop a Will?
  Can an AI colleague develop something like a will? This white paper argues the question is engineerable. Borrowing Harry Frankfurt's distinction between creatures that merely act on their desires (wantons) and persons who evaluate and revise their own desires,…
  datacite Diaz Gutierrez de Quijano, Joaquin 2026 置信度 0.66 artificial intelligenceAI agentsLLM agentsAutonomous agentsAI personas
• Trascendence: The Wanton Problem, Can an AI Colleague Develop a Will?
  Can an AI colleague develop something like a will? This white paper argues the question is engineerable. Borrowing Harry Frankfurt's distinction between creatures that merely act on their desires (wantons) and persons who evaluate and revise their own desires,…
  datacite Diaz Gutierrez de Quijano, Joaquin 2026 置信度 0.66 artificial intelligenceAI agentsLLM agentsAutonomous agentsAI personas
• Code Factory: Proof-by-Sabotage Software Factory
  Code Factory answers one practical question for developers using AI: can this test actually fail? Run `factory first-proof --root .` to see a safe negative-control demonstration and receive a local, reviewable receipt. For teams, `factory wrap` records an admi…
  datacite Katz, Richard 2026 置信度 0.66 software-factoryai-agentsworkflow-verificationmutation-testingrelease-receipts
• Inteligência Artificial Generativa, Modelos de Linguagem de Grande Escala e Sistemas Multiagente na Gestão de Projetos de Software: uma Revisão Sistemática da Literatura
  Este documento reúne o protocolo metodológico e os materiais de apoio da Revisão Sistemática da Literatura (RSL) "Inteligência Artificial Generativa, Modelos de Linguagem de Grande Escala e Sistemas Multiagente na Gestão de Projetos de Software", conduzida com…
  datacite Simioni, Maicon 2026 置信度 0.66 Inteligência Artificial Generativa; Generative AI; Large Language Models; Modelos de Linguagem de Grande Escala; Sistemas Multiagente; Multi-Agent Systems; Gestão de Projetos de Software; Software Project Management; Revisão Sistemática da Literatura; Systematic Literature Review; PRISMA 2020; Metodologias Ágeis; Agile Methodologies
• Inteligência Artificial Generativa, Modelos de Linguagem de Grande Escala e Sistemas Multiagente na Gestão de Projetos de Software: uma Revisão Sistemática da Literatura
  Este documento reúne o protocolo metodológico e os materiais de apoio da Revisão Sistemática da Literatura (RSL) "Inteligência Artificial Generativa, Modelos de Linguagem de Grande Escala e Sistemas Multiagente na Gestão de Projetos de Software", conduzida com…
  datacite Simioni, Maicon 2026 置信度 0.66 Inteligência Artificial Generativa; Generative AI; Large Language Models; Modelos de Linguagem de Grande Escala; Sistemas Multiagente; Multi-Agent Systems; Gestão de Projetos de Software; Software Project Management; Revisão Sistemática da Literatura; Systematic Literature Review; PRISMA 2020; Metodologias Ágeis; Agile Methodologies
• SWOT: Enabling Communication-Reconfiguration Overlap for Collective Communication in Optical Networks
  AI Reproduction Evidence Official AE record: Artifact Available + Artifact Evaluated — Functional. To give users a clear picture of actual reproducibility, we performed a fully autonomous AI-only reproduction run: AI coding agent (Claude Code, deepseek-v4-pro[…
  datacite Wu, Changbo, Yu, Zhuolong, Zhao, Gongming, Xu, Hongli 2026 置信度 0.66
• dspy-security-bench: reproducible security, authorization, and mission assurance evidence for tool-using AI agents
  A Python harness for measuring how well language-model agents resist indirect prompt injection. It wraps the AgentDojo task environments and adds a frozen, hashed measurement protocol, joint reporting of task utility alongside attack resistance, cluster-bootst…
  datacite Ahamed, Imran 2026 置信度 0.66 prompt-injectionllm-securityagent-evaluationbenchmarkreproducibility
• dspy-security-bench: reproducible security, authorization, and mission assurance evidence for tool-using AI agents
  A Python harness for measuring how well language-model agents resist indirect prompt injection. It wraps the AgentDojo task environments and adds a frozen, hashed measurement protocol, joint reporting of task utility alongside attack resistance, cluster-bootst…
  datacite Ahamed, Imran 2026 置信度 0.66 prompt-injectionllm-securityagent-evaluationbenchmarkreproducibility
• BioDockify Pharma AI: An Autonomous, Human-in-the-Loop Research Assistant Integrating Molecular Dynamics, Docking, ADMET, Biostatistics, and Scientific Communication
  BioDockify Pharma AI, an open-source, Docker-deployed Human-in-the-Loop platform that integrates 16 pharmaceutical research modules into a single browser-based environment. The platform unifies literature search across 10 databases, OpenMM molecular dynamics s…
  datacite Tajuddin, Shaik, Mohd Afroz, B K Fatheema 2026 置信度 0.66
• BioDockify Pharma AI: An Autonomous, Human-in-the-Loop Research Assistant Integrating Molecular Dynamics, Docking, ADMET, Biostatistics, and Scientific Communication
  BioDockify Pharma AI, an open-source, Docker-deployed Human-in-the-Loop platform that integrates 16 pharmaceutical research modules into a single browser-based environment. The platform unifies literature search across 10 databases, OpenMM molecular dynamics s…
  datacite Tajuddin, Shaik, Mohd Afroz, B K Fatheema 2026 置信度 0.66
• Loop Engineering: Building Blocks, Adoption, and Impact
  Over the past months, the way developers direct agentic AI coding tools has moved up several levels of abstraction, from phrasing prompts to engineering context to configuring the harness around the model. In June 2026, practitioners began to describe a furthe…
  datacite Lulla, Jai Lal, Nersesyan, Vahram, Mohsenimofidi, Seyedmoein, Treude, Christoph 等 2026 置信度 0.66 Software Engineering (cs.SE)FOS: Computer and information sciences
• A Literature Review on Proactive Real-Time Monitoring of Banking IT Infrastructure: A Self-Healing Approach using Agent AI
  Abstract: This paper presents a comprehensive review of the literature on AI-driven proactive monitoring and self- healing mechanisms for banking IT infrastructure [1], [2]. The study systematically examines how AI-enabled models—including supervised and unsup…
  datacite Mrs. Dakshta Jain, Dr.Awanit Kumar 2026 置信度 0.66 Proactive Monitoring, Artificial Intelligence, Banking IT Infrastructure, Anomaly Detection, Self-Healing Systems, Predictive Analytics, Machine Learning, Fault Predic- tion, Automated Remediation, Explainable AI (XAI), AIOps, Operational Resilience, IT Operations Management, Financial Technology (FinTech), Cybersecurity, Root Cause Analysis, Autonomous Systems, Cloud Computing, Service Availability, Regu- latory Compliance, Deep Learning, Real-Time Analytics, System Reliability, Unsupervised Learning, Multi-Agent Systems.
• A Literature Review on Proactive Real-Time Monitoring of Banking IT Infrastructure: A Self-Healing Approach using Agent AI
  Abstract: This paper presents a comprehensive review of the literature on AI-driven proactive monitoring and self- healing mechanisms for banking IT infrastructure [1], [2]. The study systematically examines how AI-enabled models—including supervised and unsup…
  datacite Mrs. Dakshta Jain, Dr.Awanit Kumar 2026 置信度 0.66 Proactive Monitoring, Artificial Intelligence, Banking IT Infrastructure, Anomaly Detection, Self-Healing Systems, Predictive Analytics, Machine Learning, Fault Predic- tion, Automated Remediation, Explainable AI (XAI), AIOps, Operational Resilience, IT Operations Management, Financial Technology (FinTech), Cybersecurity, Root Cause Analysis, Autonomous Systems, Cloud Computing, Service Availability, Regu- latory Compliance, Deep Learning, Real-Time Analytics, System Reliability, Unsupervised Learning, Multi-Agent Systems.
• dspy-security-bench: reproducible security, authorization, and mission assurance evidence for tool-using AI agents
  A Python harness for measuring how well language-model agents resist indirect prompt injection. It wraps the AgentDojo task environments and adds a frozen, hashed measurement protocol, joint reporting of task utility alongside attack resistance, cluster-bootst…
  datacite Ahamed, Imran 2026 置信度 0.66 prompt-injectionllm-securityagent-evaluationbenchmarkreproducibility
• Comparing Enterprise Data Analytics Capabilities of Databricks Genie versus Microsoft Copilot Agent: A Comprehensive Literature Review
  This paper analyzes how two emerging AI platforms are reshaping enterprise intelligence and decision-making. Drawing on more than 80 peer-reviewed studies, the paper compares the architecture, capabilities, performance, and governance requirements of Databrick…
  datacite Moncivais Pinedo, Idilio 2026 置信度 0.66 Artificial Intelligence
• Comparing Enterprise Data Analytics Capabilities of Databricks Genie versus Microsoft Copilot Agent: A Comprehensive Literature Review
  This paper analyzes how two emerging AI platforms are reshaping enterprise intelligence and decision-making. Drawing on more than 80 peer-reviewed studies, the paper compares the architecture, capabilities, performance, and governance requirements of Databrick…
  datacite Moncivais Pinedo, Idilio 2026 置信度 0.66 Artificial Intelligence
• AI Coding Agents and Software Robots in Professional Software Engineering
  This dataset contains 205 responses to the survey AI Coding Agents and Software Robots in Professional Software Engineering. The responses were collected between 20 July and 4 August 2026. The questionnaire comprised 40 numbered questions, including several mu…
  datacite Kusper, Gábor, Zaletnyik, Péter Tibor, Brindusescu, Alin Aurica, Mahringer, Thomas 2026 置信度 0.66
• AI Coding Agents and Software Robots in Professional Software Engineering
  This dataset contains 205 responses to the survey AI Coding Agents and Software Robots in Professional Software Engineering. The responses were collected between 20 July and 4 August 2026. The questionnaire comprised 40 numbered questions, including several mu…
  datacite Kusper, Gábor, Zaletnyik, Péter Tibor, Brindusescu, Alin Aurica, Mahringer, Thomas 2026 置信度 0.66
• Supplementary Materials: Structured Vibe Coding (SVC) Framework Toolkit and Replication Package
  This record contains the supplementary materials for the manuscript: "Structured Vibe Coding (SVC): A Structured Process Framework for Generative Software Engineering" (Submitted to Empirical Software Engineering, PROMPT-SE 2026 Special Issue). Contents: This …
  datacite Muhammad, Omar 2026 置信度 0.66 prompt engineering, structured vibe coding, generative AI, software requirements specification, software design document, ICC framework, chain-of-thought prompting, AI application development, requirements engineering
• Code Factory: Proof-by-Sabotage Software Factory
  Code Factory answers one practical question for developers using AI: can this test actually fail? Run `factory first-proof --root .` to see a safe negative-control demonstration and receive a local, reviewable receipt. For teams, `factory wrap` records an admi…
  datacite Katz, Richard 2026 置信度 0.66 software-factoryai-agentsworkflow-verificationmutation-testingrelease-receipts
• SSOT-Centric Agentic Software Engineering Framework
  Overview The SSOT-Centric Agentic Software Engineering Framework is an AI-native software development lifecycle model that enables software engineering artefacts, AI planning systems, coding agents, testing agents, and continuous system evolution to operate fr…
  datacite Echeonwu, Emmanuel Chinyere 2026 置信度 0.66
• SSOT-Centric Agentic Software Engineering Framework
  Overview The SSOT-Centric Agentic Software Engineering Framework is an AI-native software development lifecycle model that enables software engineering artefacts, AI planning systems, coding agents, testing agents, and continuous system evolution to operate fr…
  datacite Echeonwu, Emmanuel Chinyere 2026 置信度 0.66
• The Möbius Protocol and the Nexus Harmonic Signature: A Topological and Signal-Theoretic Analysis of Recursive Computation in Physical Systems
  # The Möbius Protocol and the Nexus Harmonic Signature: A Topological and Signal-Theoretic Analysis of Recursive Computation in Physical Systems Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three pr…
  datacite Kulik, Dean 2026 置信度 0.66
• The Möbius Protocol and the Nexus Harmonic Signature: A Topological and Signal-Theoretic Analysis of Recursive Computation in Physical Systems
  # The Möbius Protocol and the Nexus Harmonic Signature: A Topological and Signal-Theoretic Analysis of Recursive Computation in Physical Systems Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three pr…
  datacite Kulik, Dean 2026 置信度 0.66
• Global Disease Research & Automated Therapeutics
  Author: Luigi Usai Place: Quartucciu (CA), Italy Time: 28/06/2026, 12:01 ORCID: https://orcid.org/0009-0003-3001-717X Medicina dei Sistemi e Farmacologia di Rete (Network Pharmacology). Il documento citato si inserisce nell'attuale frontiera della convergenza …
  datacite Usai, Luigi 2026 置信度 0.66 Luigi UsaiUsai LuigiUsaiIpergrafo di UsaiUsai's Hypergraph
• Dataset for "Specification-first convergence with an AI coding agent"
  Raw session logs and frozen specification supporting the paper "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 oracle for the target behaviour…
  datacite Abenhaïm, Joël 2026 置信度 0.66
• Dataset for "Specification-first convergence with an AI coding agent"
  Raw session logs and frozen specification supporting the paper "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 oracle for the target behaviour…
  datacite Abenhaïm, Joël 2026 置信度 0.66
• AI-Assisted Engineering Process Specification
  AI-Assisted Engineering Process (AIEP) v0.2.0 is a public pre-pilot engineering process specification for the controlled use of large language model (LLM) reasoning assistants and coding agents in engineering work. AIEP separates AI-assisted engineering into f…
  datacite Leu, Dumitru-Cristian 2026 置信度 0.66 AI-assisted engineeringengineering processlarge language modelscoding agentsagentic engineering
• AI-Assisted Engineering Process Specification
  AI-Assisted Engineering Process (AIEP) v0.2.0 is a public pre-pilot engineering process specification for the controlled use of large language model (LLM) reasoning assistants and coding agents in engineering work. AIEP separates AI-assisted engineering into f…
  datacite Leu, Dumitru-Cristian 2026 置信度 0.66 AI-assisted engineeringengineering processlarge language modelscoding agentsagentic engineering
• Breakable Receipts: A Synthetic Case Study in Layered AI Attestation Evidence
  Version 0.1.1 (2026-06-04) refreshes terminology and release files following GLACIS/OVERT wording guidance. It replaces prior style-receipt wording with "OVERT-inspired receipt-shaped object" / "receipt-shaped object inspired by public OVERT concepts," keeps t…
  datacite Sokolov, Anton 2026 置信度 0.66 AI governanceattestationruntime evidenceevidence engineeringpost-quantum cryptography
• Breakable Receipts: A Synthetic Case Study in Layered AI Attestation Evidence
  Version 0.1.1 (2026-06-04) refreshes terminology and release files following GLACIS/OVERT wording guidance. It replaces prior style-receipt wording with "OVERT-inspired receipt-shaped object" / "receipt-shaped object inspired by public OVERT concepts," keeps t…
  datacite Sokolov, Anton 2026 置信度 0.66 AI governanceattestationruntime evidenceevidence engineeringpost-quantum cryptography
• Symmetry as a Metrological and Dynamical Constraint: How Accidental Symmetries, Resource Diffusion, Non-Hermitian Structure, and Hydrodynamic Memory Jointly Shape Quantum Information Transport
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. A recurring structural pattern across recent quantum-information and mathematical-physics literatu…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Symmetry as a Metrological and Dynamical Constraint: How Accidental Symmetries, Resource Diffusion, Non-Hermitian Structure, and Hydrodynamic Memory Jointly Shape Quantum Information Transport
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. A recurring structural pattern across recent quantum-information and mathematical-physics literatu…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Workstream Continuity Design: Design Bible
  Workstream Continuity Design (WCD) is an emerging HCI and product-design doctrine, presented as a testable integrative frame, for software in which one accountable person repeatedly enters, leaves, understands, supervises, and safely resumes several concurrent…
  datacite Hickey, Conal 2026 置信度 0.66 Human–AI interactionagent supervisionworkstream continuityinterruption recoverysituation awareness
• Mechanistic Redundancy and Distributed Causality in Biological Information Processing: How Autocatalytic Unification, Sampling Geometry, Spatial Context Decomposition, Stoichiometric Biosignatures, and Communication Self-Regulation Jointly Constrain a Candidate Architecture for Biological Computation
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. Biological systems process information across radically different physical substrates—reaction net…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• dspy-security-bench: reproducible security, authorization, and mission assurance evidence for tool-using AI agents
  A Python harness for measuring how well language-model agents resist indirect prompt injection. It wraps the AgentDojo task environments and adds a frozen, hashed measurement protocol, joint reporting of task utility alongside attack resistance, cluster-bootst…
  datacite Ahamed, Imran 2026 置信度 0.66 prompt-injectionllm-securityagent-evaluationbenchmarkreproducibility
• Substrate Ontologies, Thermodynamic Access, and the Resolution of the Millennium Prize Problems
  Substrate Ontologies, Thermodynamic Access, and the Resolution of the Millennium Prize Problems Driven by Dean Kulik July 2026 The Crisis of Distinction and the Ontological Inversion The trajectory of contemporary theoretical physics, advanced computational mo…
  datacite kulik, dean 2026 置信度 0.66
• Substrate Ontologies, Thermodynamic Access, and the Resolution of the Millennium Prize Problems
  Substrate Ontologies, Thermodynamic Access, and the Resolution of the Millennium Prize Problems Driven by Dean Kulik July 2026 The Crisis of Distinction and the Ontological Inversion The trajectory of contemporary theoretical physics, advanced computational mo…
  datacite kulik, dean 2026 置信度 0.66
• Silent Entropy and Structural Fragility: How Communication Isolation, Coordination Debt, Adversarial Symmetry, Consensus Illusions, and Topology-Memory Coupling Jointly Define a Candidate Failure Taxonomy for Deployed Multi-Agent LLM Systems
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. As large language model (LLM)-based multi-agent systems (MAS) move from research benchmarks into o…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• AI as an organizational agent to nurture: effectively introducing chatbots in public entities
  We investigate how AI introduction affects public entities at the micro-level, hence the roles, competences and tasks of the agents involved. In doing so, we rely on the organizational design theory and we focus on a specific AI solution (chatbot) implemented …
  crossref Giulia Maragno, Luca Tangi, Luca Gastaldi, Michele Benedetti 2022-04-25T01:25:18Z 置信度 0.70
• Secure Multi-Agent AI for Autonomous Cyber Defense of U.S. Critical and Enterprise Networks
  The increasingly complex nature of cyber intrusions into United States critical infrastructure and enterprise network systems requires independent defense systems that can be modified in real time without human intervention. The paper provides a systematic exp…
  crossref I K M Saameen Yassar 2026-04-10T08:51:06Z 置信度 0.70
• A Conceptual Framework for Multi-Agent AI Quality Control in The Review of Regulated Documents
  Organizations in pharmaceutical, financial, and other regulated sectors face rising pressure to review large volumes of complex documents against strict and frequently evolving standards, while preserving the traceability needed to defend decisions to auditors…
  crossref Michael Ominyi 2026-08-20T13:46:15Z 置信度 0.70
• Towards Proactive and Collaborative Industrial AI Agents within the Human-Agent Interaction (HAI): A Review and Perspective
  crossref Yiwei Hua, Kerun Li, Ru Wang, Ying Liu 等 2026-01-26T15:54:04Z 置信度 0.70
• AI Multi-Agent Systems for Educational Content Generation: A Systematic Literature Review
  crossref Ivo Vargas, João-Paulo Barros 2026-07-02T19:42:35Z 置信度 0.70
• Review of Autonomous and Collaborative Agentic AI and Multi-Agent Systems for Enterprise Applications
  Artificial Intelligence (AI) landscape is fast developing such that there are dynamic and autonomous representatives of AI which are referred to as AI agents. These agents, fueled by the evolution of generative AI and large language models (LLMs), can make the…
  crossref Satyadhar Joshi 2025-07-05T09:29:26Z 置信度 0.70
• Linking AI agent architectures to trust antecedents in human-autonomous teams: a scoping review
  Abstract The rapid adoption of AI agents is transforming how human teams collaborate in problem-solving across academia, industry, and government. Although AI agents offer promising enhancements to team performance and productivity, trust fundamentally shapes …
  crossref Andrew Zamecnik, Wicaksono Febriantoro, Mutlu Cukurova, Srećko Joksimović 等 2026-04-28T09:34:21Z 置信度 0.70
• Principal and Agent. Liability of Agent for Fraud of Sub-Agent
  crossref 2006-04-25T17:55:58Z 置信度 0.70
• RoboGenius Team Description Paper Review and Develop a War Simulation Agent from AI Vision
  This article contains explanations on how to develop an intelligent agent in war simulation environment by RoboGenius team. The main Focus of the team is on artificial intelligence application in war simulation server [1]. For this purpose we used a combined b…
  crossref Abbas Khosravi, Mohammad Kazem Farhadipour, Abdolreza Moghimi, Najme Roozmand 2011-12-06T08:58:09Z 置信度 0.70
• An Endostatin-Lentivirus (ES-LV)-EPC Gene Therapy Agent for Suppression of Neovascularization in Oxygen-Induced Retinopathy Rat Models
  Abstract Background: Transplantation of gene transfected endothelial progenitor cells (EPCs) has provided novel methods for neovascularization but not ocular disease therapy. This study aimed to investigate the efficacy of endostatin transfected EPCs in retina…
  crossref Jing Ai, Jian Ma, Zhi-Qing Chen, Jun-Hui Sun 等 2019-10-28T18:31:05Z 置信度 0.70