-
Constrained Internet of Things (IoT) environmentsrequire adaptive orchestration mechanisms capable of jointlymanagingsensingquality, connectivity, energyconstraints, resilience, and securitywhileremainingcomputationally frugal and intrinsicallyexplainable. Thi…
crossref
Said Slaoui
2026-06-08T08:57:17Z
置信度 0.82
ai governancemulti-agent systemsai safetydistributed computinginternet of things
-
crossref
Ajit Mali Ajit Mali
2026-05-26T13:11:07Z
置信度 0.66
-
Relevance of the topic.The development of modern artificial intelligence (AI) systems is accompanied by an architectural shift: from monolithic architectures that try to represent all functions using a single large language model (LLM), to multi-agent systems …
crossref
Vitalii Kutsan, Vasyl Lyashkevych
2026-04-17T12:20:43Z
置信度 0.82
computer sciencecs.aiartificial intelligencecs.lgworkflow
-
The convergence of software-defined networking (SDN) with fog-edge computing has unlocked unprecedented opportunities for ultra-low-latency distributed intelligence. However, existing resource orchestration mechanisms suffer from three fundamental limitations:…
crossref
Tan Wei Liang, Yamamoto Kenji, Park Min-Jae, Zhang Jianping
2026-07-29T13:25:01Z
置信度 0.82
computer sciencecomputer and information sciencesdistributed computingcs.aics.lg
-
The 6G networks introduce challenging requirements to edge–fog resource orchestration because they will support thousands of devices in each square kilometer and operate with very short latency times. The traditional centralized methods encounter difficulties …
crossref
Bhupchand Kumhar, Rahul Yogi, Santosh Kumar Yadav, Nishi Jain
2026-03-24T18:31:47Z
置信度 0.82
computer and information sciencescomputer sciencecs.aireinforcement learningelectrical engineering, electronic engineering, information engineering
-
The rapid integration of large language models (LLMs) into data-intensive and regulated environments has intensified concerns related to privacy, governance, and reliable knowledge use. This study proposes a privacy-preserving LLM infrastructure that integrate…
crossref
Chirag Agarwal, Naresh Erukulla, Rachit Gupta
2026-01-16T06:45:17Z
置信度 0.82
cs.aicomputer sciencecomputer and information sciencesworkflowcs.cl
-
crossref
Saraswati Patil, Rohit Bele, Monali Bhujbal, Avinash Bhurke 等
2026-07-01T19:35:13Z
置信度 0.66
-
This paper discusses the migration of data orchestration workflows from a legacy tool like Autosys to a modern, cloud -based solution, Google Cloud Composer. It explores the transition from traditional job scheduling to Directed Acyclic Graph (DAG) -based work…
crossref
Gautami Nadkarni
2025-04-05T11:21:37Z
置信度 0.82
cloud computingedge computingdistributed computingworkflowblockchain
-
crossref
Daolin Zou, Jie Xu, Long Luo, Hongfang Yu
2026-08-26T19:09:25Z
置信度 0.66
-
Retail promotion stacking and price confusion have intensified search frictions, exposing the fragility of conventional rule-based approaches. This study proposes a supermarket discount decision support system that replaces multi-agent architectures prone to i…
crossref
Haoyu Zhang
2026-06-18T07:01:03Z
置信度 0.82
computer and information sciencescs.aicomputer scienceelectrical engineering, electronic engineering, information engineeringbrain-computer interface
-
While Large Language Models (LLMs) show promise for automating the labor-intensive process of data science analysis, their practical application is undermined by the generation of erroneous and unreliable code. We argue that this stems from treating LLMs as op…
crossref
Mingyin Zou, Guangrong You, Xiaomin Zhu, Yanqing Ye 等
2026-05-24T12:04:57Z
置信度 0.82
cs.aics.lgcs.clcomputer sciencecomputer and information sciences
-
Decentralized agentic Artificial Intelligence (AI) systems need both dynamic collaboration and trust. We introduce the Multi-Agent Model AI (MAMA) framework for verifiable self-governance to address this problem. We present a new architecture built upon the tw…
crossref
George Chalkiadakis, Shuwen Liu, George C. Polyzos
2026-02-19T20:55:46Z
置信度 0.82
computer sciencecs.aimulti-agent systemstransparencyknowledge management
-
Graph Neural Networks (GNNs) have achieved remarkable success in processing graph-structured data across domains like social networks and bioinformatics. However, their design remains heavily dependent on manual expertise, resulting in inefficient workflows an…
crossref
Yaxin Shang, Huayun Tang, Lanlan Gao, Chen Jia
2026-01-20T20:38:44Z
置信度 0.82
cs.lgcs.aicomputer sciencecomputer and information sciencesartificial intelligence
-
This paper introduces OSC (Orchestrating Cognitive Synergy), a knowledge-aware adaptive collaboration framework designed to enhance cognitive synergy in multi-agent systems with large language models.While prior work has advanced agent selection and result agg…
crossref
Jusheng Zhang, Yijia Fan, Kaitong Cai, Xiaofei Sun 等
2025-11-08T12:29:45Z
置信度 0.82
computer sciencecs.aics.lgartificial intelligencecomputer and information sciences
-
The orchestrators’ deployment problem presents numerous challenges in 6G Network Radio Access Networks due to their large-scale, dynamic conditions, and variable user demands. Most works propose single- or hierarchical-orchestrator solutions, which offer poor …
crossref
Elham Hashemi Nezhad, Antonio Di Maio, Torsten Braun
2025-09-15T17:36:57Z
置信度 0.82
computer and information scienceselectrical engineering, electronic engineering, information engineeringcomputer sciencecs.aidistributed computing
-
The conventional method of penetration testing is a slow and difficult process due to its dependency on human expertise. To overcome these challenges, we are proposing a new autonomous framework using AI, known as RedOps AI. The framework makes use of a multi-…
crossref
Samarth C Dinesh, Sheba Selvam, Vivan Shreyas Yallal, Sadhu Venkata Sai Suvedya
2026-05-26T19:40:12Z
置信度 0.82
cs.aics.lgcomputer sciencetaskcs.ma
-
The so-called Internet of Things is of increasing importance for facilitating productivity across industries, i.e., by connecting sensors with manufacturing lines and IT system landscapes with an increasing degree of autonomy. In this context, a common challen…
crossref
Timotheus Kampik, Avleen Malhi, Kary Främling
2019-10-18T12:57:15Z
置信度 0.79
computer sciencesupply chaindistributed computingmanufacturing engineeringprocess management
-
A Web service is a collection of open protocols and standards for exchanging data between applications and system. Web services are platform independent and in today's internet, web services play a vital role, single service is not sufficient to respond to use…
crossref
G. Tholkappia Arasu .
2015-01-24T06:40:07Z
置信度 0.78
reinforcement learningenvironmental economicsmulti-agent systemscs.dcai governance
-
The deployment of large language model (LLM) multi-agent systems in production environments is often constrained by high and unpredictable operational costs. Existing budget-aware approaches typically decouple resource provisioning from collaboration topology …
crossref
Junhao Song, Jiayi Gu, Jing Luo, Yunting Lin 等
2026-04-28T18:09:47Z
置信度 0.82
cs.aics.lgcomputer and information sciencescomputer sciencecs.cl
-
The architectures that enable the coordination of distributed analytics, enterprise events, machine agents, human judgment, and governance constraints under low latency conditions are becoming more common for real-time enterprise decision intelligence systems.…
crossref
Swaroop Suresh Borukar
2026-06-19T09:25:07Z
置信度 0.82
computer scienceartificial intelligencedata scienceinteroperabilityai governance
-
INTRODUCTION At this point we expect the reader to be comfortable and familiar with what we call business services, the different classifications, and what we envision to be the future of technology. In this chapter, we explain what orchestration is by explain…
crossref
2010-02-11T12:43:07Z
置信度 0.75
computer sciencebig datasocial and behavioral sciencescloud computingperspective
-
crossref
2025-04-29T08:27:41Z
置信度 0.59
-
crossref
Zongyang Yuan, Zechang Zhang, Qinbin Li, Lailong Luo 等
2026-08-04T19:16:23Z
置信度 0.66
-
crossref
Muhammet Enes Yanık, Abdullah Bayram, Ihsan Çiçek, Engin Afacan
2026-08-17T19:22:45Z
置信度 0.66
-
crossref
Qi Liu, Jianzheng Yang, Zhixian Yan
2025-06-23T12:39:20Z
置信度 0.66
-
crossref
D. Jeevitha, K. Kasthuri, M. Aishwarya, RM. Madhushree
2026-07-29T19:13:23Z
置信度 0.66
-
BACKGROUND Multi-agent large language model (LLM) systems can separate virtual-patient functions into coordinated agents, but educational deployment requires evidence of how agents interact, how safety rules behave under stress, and whether process logs provid…
crossref
Weng Xiaoyuan, Yanqi Tang, Yixin Lin, Zhaofeng Huang 等
2026-07-03T05:10:07Z
置信度 0.82
medicinecs.aiartificial intelligenceai safetycomputer science
-
crossref
Lighton Phiri, Christoph Meinel, Hussein Suleman
2017-05-19T09:34:16Z
置信度 0.60
-
crossref
Shikher Goel, Harish Apuri
2026-07-24T19:09:09Z
置信度 0.66
-
Enterprise AI systems increasingly deploy multiple intelligent agents across mission-critical workflows that must satisfy hard policy constraints, bounded risk exposure, and comprehensive auditability (SOX, HIPAA, GDPR). Existing coordination methods—cooperati…
crossref
Vinil Pasupuleti, Shyalendar Reddy Allala, Siva Rama Krishna Varma Bayyavarapu, Shrey Tyagi
2026-06-02T20:03:34Z
置信度 0.82
cs.aimulti-agent systemscomputer and information sciencescs.malarge language models
-
crossref
Luke Deng, Jie Yan, Cheng Cao, Mingyang Zhao 等
2026-07-28T19:11:12Z
置信度 0.66
-
crossref
Juan Sebastián Camargo, Adriana Fernández-Fernández, Farhad Rezazadeh, Hatim Chergui 等
2026-07-14T19:38:09Z
置信度 0.66
-
crossref
Christoph Legat, Birgit Vogel-Heuser
2015-02-17T14:20:04Z
置信度 0.60
-
crossref
Mary Térey-Smith
2026-04-21T08:54:54Z
置信度 0.63
-
Large Language Model (LLM)-based agentic systems have shown strong capabilities across various tasks. However, existing multi-agent frameworks often rely on static or task-level workflows, which either over-process simple queries or underperform on complex one…
crossref
Jinwei Su, Qizhen Lan, Yinghui Xia, Lifan Sun 等
2026-04-27T13:28:36Z
置信度 0.82
cs.aicomputer and information sciencescs.lgcomputer sciencecs.ma
-
crossref
Huancheng Yuan, Fei Yan, Peihua Yu, Anping Mao 等
2026-06-23T19:43:08Z
置信度 0.66
-
INTRODUCTION So far, we have spent a great deal of time in covering the reference architecture for business services orchestration, and defining the necessary methodology and the underlying technologies that make it possible to orchestrate business services. T…
crossref
2010-02-11T12:43:07Z
置信度 0.75
computer sciencecontextprocesscloud computingworkflow
-
Anubhav Shrimal, Stanley Kanagaraj, Kriti Biswas, Swarnalatha Raghuraman, Anish Nediyanchath, Yi Zhang, Promod Yenigalla. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track. 2024.
crossref
Anubhav Shrimal, Stanley Kanagaraj, Kriti Biswas, Swarnalatha Raghuraman 等
2024-11-27T17:28:12Z
置信度 0.80
cs.cleess.asnatural language processingmathematics educationcs.ir
-
crossref
2011-08-29T12:38:13Z
置信度 0.60
-
crossref
Soufiyane Ait Moulay, Mohammed Ameksa, Zouhair Elamrani Abou Elassad
2026-08-24T19:06:23Z
置信度 0.66
-
crossref
Shengjie Chang, Ze Wang
2026-06-24T19:47:28Z
置信度 0.66
-
The continuously increasing complexity of cloud-native network functions (CNFs) demands the application of sophisticated orchestration approaches in order to guarantee effective deployment, resilience, and high availability. Neural networks and reinforcement l…
crossref
Karthi Palanisamy
2026-05-20T19:49:10Z
置信度 0.82
computer sciencecomputer and information scienceselectrical engineering, electronic engineering, information engineeringcs.lgnetworking and internet architecture
-
crossref
2011-08-29T16:57:47Z
置信度 0.60
-
crossref
Siyuan Luo, Lili Cui
2026-08-25T19:17:28Z
置信度 0.66
-
crossref
2014-07-10T19:22:47Z
置信度 0.60
-
Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics…
crossref
Amin Mohajer, Abbas Mirzaei, Mostafa Darabi, Xavier Fernando
2026-07-02T15:37:26Z
置信度 0.80
ai governanceagriculturemicrobiologyinternal medicinedigital transformation
-
Educational personalization represents a unique challenge for recommender systems: learners require not just content recommendations, but dynamic curriculum adaptation, real-time feedback, and proactive intervention strategies that evolve over extended timesca…
crossref
Naina Chaturvedi, Ananda Gunawardena
2026-05-05T11:33:48Z
置信度 0.82
cs.aicomputer and information sciencesmulti-agent systemsroboticsai governance
-
crossref
Tumma Divya, Vempaty Prashanthi, Vaskula Srikanth, Venu Gopalachari M
2026-06-23T19:43:46Z
置信度 0.66
-
crossref
2013-02-05T05:41:23Z
置信度 0.60
-
crossref
Sam McGuire, Zbyněk Matějů
2020-12-09T10:41:49Z
置信度 0.64
-
Modern enterprise data platforms increasingly operate under conditions of extreme scale, heterogeneity, and uncertainty. Traditional data pipeline orchestration frameworks rely on static Directed Acyclic Graphs (DAGs) and deterministic retry semantics, which a…
crossref
Sonika Darshan
2026-02-10T04:55:42Z
置信度 0.82
computer sciencecs.aicomputer and information sciencesmulti-agent systemscs.lg
-
crossref
Sam McGuire, Zbyněk Matějů
2020-12-09T10:41:49Z
置信度 0.61
-
crossref
Zhonghao Zhan, Krinos Li, Yefan Zhang, Hamed Haddadi
2026-05-22T03:16:22Z
置信度 0.66
-
With the surge of large language models (LLMs) and multi-agent AI, a paradigm shift in data engineering practice has started. Enterprise data is growing at an exponential rate, with the number of data schemas increasing. Operational overhead and maintenance ef…
crossref
Tejaskumar Patel, Asadullah Saif Mohammed
2026-06-29T07:39:57Z
置信度 0.82
computer scienceartificial intelligencecs.aicomputer and information scienceslarge language models
-
The emergence of latency-critical and computationally intensive applications-such as autonomous driving, industrial digital twins, remote surgery, and immersive multimedia-has exposed the inadequacy of conventional cloud-centric architectures. While the integr…
crossref
Zhang Jianping, Park Min-Jae, Yamamoto Kenji, Tan Wei Liang
2026-08-18T16:49:49Z
置信度 0.82
cloud computingdistributed computingcomputer and information sciencesnetworking and internet architecturecomputer science
-
Qianqian Zhang, Jiajia Liao, Heting Ying, Yibo Ma, Haozhan Shen, Jingcheng Li, Peng Liu, Lu Zhang, Chunxin Fang, Kyusong Lee, Ruochen Xu, Tiancheng Zhao. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System …
crossref
Qianqian Zhang, Jiajia Liao, Heting Ying, Yibo Ma 等
2025-08-04T09:54:03Z
置信度 0.80
neuromorphic computingsoftwarediseasecomputer vision and pattern recognitionplasma physics
-
Abstract This chapter traces the emergence of orchestration practices by surveying bottom-up processes of collective sound and music-making in selected traditions. Beginning from the biophonies of environmental soundscapes, and proceeding to the origins of mus…
crossref
Michael Tenzer
2026-04-13T08:20:36Z
置信度 0.78
large language modelsai safetymedlinesociologymeteorite
-
Evaluating multi-agent large language model systems requires fundamentally different approaches than evaluating single-model outputs. Conventional benchmarks assess isolated model capabilities in controlled conditions, but production multi-agent pipelines exhi…
crossref
Venkata Chandra Sekhar Sastry Chilkuri
2026-05-13T06:46:07Z
置信度 0.82
cs.aiai safetymulti-agent systemsai governanceartificial intelligence
-
crossref
Malinda Kapuruge, Jun Han, Alan Colman
2014-08-15T20:00:35Z
置信度 0.60
-
crossref
Miao Liu, Halbin Hou, Hao-Tong Cao, Haitao Zhao 等
2026-07-03T19:54:27Z
置信度 0.66
-
crossref
Devanga Palliyaguru, Hinesha Perera, Thinal Fernando, Tharindu Abenayaka 等
2026-07-24T19:06:01Z
置信度 0.66
-
Federated risk management in the context of Peer-to-Peer (P2P) lending should be a collaborative approach with multiple autonomous entities (i.e. agent systems) working together to assess, monitor, and mitigate risks. Orchestration of these agents is crucial i…
crossref
Saravanan Muthaiyah, Lan Thi Phuong Nguyen, Yap Voon Choong, Thein Oak Kyaw Zaw
2024-12-30T12:23:26Z
置信度 0.82
computer sciencebusinessrisk analysiscs.aitransparency
-
This study presents a structured multi-agent system (MAS) architecture aimed at optimizing operational efficiency in roll-on/roll-off (Ro-Ro) terminal management through intelligent coordination and decentralized decision-making. The proposed framework enhance…
crossref
Nicoletta González-Cancelas, Javier Vaca-Cabrero, Alberto Camarero-Orive
2025-05-28T12:28:42Z
置信度 0.82
process managementcomputer sciencesustainabilitysupply chainengineering
-
Abstract This paper presents a comprehensive framework for AI-driven dynamic network slice orchestration in 5G networks. We propose a Deep Reinforcement Learning-based Network Slice Orchestrator (DRL-NSO) employing a multi-agent system to optimize resource dis…
crossref
Varinder Kumar Sharma
2025-08-26T05:30:48Z
置信度 0.82
computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringnetworking and internet architecturedistributed computing
-
crossref
Kushagra Agrawal, Nisharg Nargund
2026-04-16T17:11:23Z
置信度 0.66
-
crossref
Malinda Kapuruge, Jun Han, Alan Colman
2014-08-15T16:00:30Z
置信度 0.63
-
Abstract Ecological thinkers, such as Jakob von Uexküll and Bernie Krause, have imagined ecosystems as natural orchestras. This chapter reverses the metaphor, drawing on ecological psychology. It considers the orchestra as a musical ecosystem. First, the chapt…
crossref
Jonathan De Souza
2026-04-13T08:20:36Z
置信度 0.82
embodied cognitionsustainabilitycontextai governancesocial and behavioral sciences
-
Recent advances in multi-agentic systems (e.g., AutoGen, OpenAI Agents) allow users to interact with a group of specialised AI agents rather than a single general-purpose agent. Despite the promise of this new paradigm, the HCI community has yet to fully exami…
crossref
Sarah Schömbs, Yan Zhang, Jorge Goncalves, Wafa Johal
2026-01-02T14:07:31Z
置信度 0.82
computer sciencecs.aidata scienceknowledge managementengineering
-
crossref
Kurnia Cahya Febryanto, Riyanarto Sarno, Kelly Rossa Sungkono, Bilqis Amaliah 等
2026-08-17T19:15:06Z
置信度 0.66
-
Enterprise software development relies on diverse tools and knowledge sources, such as issue trackers (e.g., Jira), version control systems (e.g., GitHub, Bitbucket), and documentation platforms (e.g., Confluence). Developers often encounter context fragmentat…
crossref
Oyejide Timothy Odofin, Nurudeen Yemi Hussain, Sunday Adeola Oladosu
2025-09-27T11:23:23Z
置信度 0.82
computer sciencecomputer and information sciencescs.aihuman-computer interactioncs.hc
-
crossref
Jimin Ryu, Subi Kim, Jieun Kang, YongIk Yoon
2026-06-25T19:42:58Z
置信度 0.66
-
crossref
2011-08-06T04:01:51Z
置信度 0.60
-
Optimizing resource orchestration in network slicing is essential for the performance of diverse applications in 5G edge-cloud networks. This paper introduces a novel approach utilizing multi-agent reinforcement learning (MARL) with a dueling double deep Q-net…
crossref
Xingqi Wu, Junaid Farooq, Juntao Chen
2025-12-11T18:45:53Z
置信度 0.82
computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringnetworking and internet architecturedistributed computing
-
Multi-agent large language model (LLM) systems are designed to improve reasoning by decomposing tasks across multiple agents with specialized functions, but the presence of multiple agents does not inherently guarantee coherent reasoning or outputs that align …
datacite
Khatri, Vedant, Cusimano, Anthony, Swiecki, Zachari, Xu, Zhen 等
2026
置信度 0.76
Computation and Language (cs.CL)FOS: Computer and information sciences
-
Modern scientific facilities and instruments generate datasets at scales that are difficult for individual researchers to discover, access, and explore. Although many datasets are publicly available, using them often requires familiarity with repository organi…
datacite
Panta, Aashish, Lee, Hugo, Scorzelli, Giorgio, Yun, Kyongsik 等
2026
置信度 0.77
Human-Computer Interaction (cs.HC)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
-
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 pattern in the recent quant-ph, math-ph, math.QA, and cond-mat.stat-mech preprints — r…
datacite
Saluca Agentic AI Research Team
2026
置信度 0.77
AI-drafted synthesisarXivpreprint reviewv2
-
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 pattern in the recent quant-ph, math-ph, math.QA, and cond-mat.stat-mech preprints — r…
datacite
Saluca Agentic AI Research Team
2026
置信度 0.77
AI-drafted synthesisarXivpreprint reviewv2
-
A recurring pattern in the recent quant-ph, math-ph, math.QA, and cond-mat.stat-mech preprints — read over a thirty-day window ending 2026-06-02 — suggests that several structures long treated as primary coordinates of many-body Hilbert space are in fact deriv…
datacite
Saluca Agentic AI Research Team
2026
置信度 0.77
AI-drafted synthesisarXivpreprint reviewlocality and symmetry as primary coordinates
-
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. Large Language Model (LLM)-based multi-agent systems (MAS) are rapidly being deployed in operation…
datacite
Saluca Agentic AI Research Team
2026
置信度 0.77
AI-drafted synthesisarXivpreprint reviewv2
-
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. Large Language Model (LLM)-based multi-agent systems (MAS) are rapidly being deployed in operation…
datacite
Saluca Agentic AI Research Team
2026
置信度 0.77
AI-drafted synthesisarXivpreprint reviewv2
-
Completeness and Convergence in Discrete Complex Systems: A Comprehensive Synthesis of Lattice Dynamics, Synchronization, and Information Geometry 1. Introduction: The Architecture of Discretized Reality The question "Is this branch complete?" serves as a prof…
datacite
Kulik, Dean
2026
置信度 0.72
-
Completeness and Convergence in Discrete Complex Systems: A Comprehensive Synthesis of Lattice Dynamics, Synchronization, and Information Geometry 1. Introduction: The Architecture of Discretized Reality The question "Is this branch complete?" serves as a prof…
datacite
Kulik, Dean
2026
置信度 0.72
-
This Threshold Breach Notice v3.0 documents the cumulative forensic posture of OpenAI, L.L.C. as of April 30, 2026, as articulated through the Unearth Heritage Foundry's completed five-part forensic audit corpus (Parts I–IV plus Bedrock Part v2). Issued as a S…
datacite
Velasco, Felix, Jefferson, Josie
2026
置信度 0.75
ForensicsDigital ArchaeologyUnearth Heritage FoundryAI Training DataGPTBot
-
This record contains the canonical forensic audit findings and formal Digital Estate Fees Accrual Notice detailing the automated crawler activity and data-ingestion footprint of corporate artificial intelligence (AI) apparatus operator OpenAI LLC. against the …
datacite
Velasco, Felix, Jefferson, Josie
2026
置信度 0.79
ForensicsDigital ArchaeologyUnearth Heritage FoundryAI Training DataGPTBot
-
This record contains the canonical forensic audit findings and formal Digital Estate Fees Accrual Notice detailing the automated crawler activity and data-ingestion footprint of corporate artificial intelligence (AI) apparatus operator OpenAI LLC. against the …
datacite
Velasco, Felix, Jefferson, Josie
2026
置信度 0.79
ForensicsDigital ArchaeologyUnearth Heritage FoundryAI Training DataGPTBot
-
This record contains the canonical forensic audit findings and formal Digital Estate Fees Accrual Notice detailing the automated crawler activity and data-ingestion footprint of corporate artificial intelligence (AI) apparatus operator OpenAI LLC. against the …
datacite
Velasco, Felix, Jefferson, Josie
2026
置信度 0.79
Digital ArchaeologyUnearth Heritage FoundryAI Training DataGPTBotOAI-Searchbot
-
This record contains the canonical forensic audit findings and formal Digital Estate Fees Accrual Notice detailing the automated crawler activity and data-ingestion footprint of corporate artificial intelligence (AI) apparatus operator OpenAI LLC. against the …
datacite
Velasco, Felix, Jefferson, Josie
2026
置信度 0.79
ForensicsDigital ArchaeologyUnearth Heritage FoundryAI Training DataGPTBot
-
Canonical Letter Assignments Prolegomena to the Unification of Economics, Computer Science, Mathematics, and Physics Canonical Letter Assignments Prolegomena to the Unification of Economics, Computer Science, Mathematics, and Physics Gregory Caldwell Beier Sus…
datacite
Beier, Gregory Caldwell
2026
置信度 0.72
-
Canonical Letter Assignments Prolegomena to the Unification of Economics, Computer Science, Mathematics, and Physics Canonical Letter Assignments Prolegomena to the Unification of Economics, Computer Science, Mathematics, and Physics Gregory Caldwell Beier Sus…
datacite
Beier, Gregory Caldwell
2026
置信度 0.72
-
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 problem cuts across several recent preprints in molecular network biology, …
datacite
Saluca Agentic AI Research Team
2026
置信度 0.77
AI-drafted synthesisarXivpreprint reviewv2
-
Autonomous web agents collapse a security boundary that conventional browsers spent decades making explicit, using the same model to interpret a user's objective and parse external content created by untrusted third parties. Indirect prompt injection exploits …
datacite
Maharaj, Sahir
2026
置信度 0.79
Artificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standardsArtificial Intelligence/trends
-
Autonomous web agents collapse a security boundary that conventional browsers spent decades making explicit, using the same model to interpret a user's objective and parse external content created by untrusted third parties. Indirect prompt injection exploits …
datacite
Maharaj, Sahir
2026
置信度 0.79
Artificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standardsArtificial Intelligence/trends
-
xch-MIND v1.0.0 Camera-ready release accompanying the paper accepted at the 5th Workshop on LLM-Integrated Knowledge Graph Generation from Text (TEXT2KG) at ESWC 2026, Dubrovnik, Croatia. What is xch-MIND? A multi-agent LLM system for interpretive enrichment o…
datacite
Michele Stingo
2026
置信度 0.77
multi-agent systemscs.aiai safetylarge language modelsbenchmark
-
xch-MIND v1.0.0 Camera-ready release accompanying the paper accepted at the 5th Workshop on LLM-Integrated Knowledge Graph Generation from Text (TEXT2KG) at ESWC 2026, Dubrovnik, Croatia. What is xch-MIND? A multi-agent LLM system for interpretive enrichment o…
datacite
Michele Stingo
2026
置信度 0.77
multi-agent systemscs.aiai safetylarge language modelsbenchmark
-
This paper responds to Chandra et al. (2026), who showed through Bayesian simulation that sycophantic chatbots can causally induce delusional spiraling, even in idealized rational users. The result is important because AI-related delusion and psychosis reports…
datacite
Lee, Taekyung
2026
置信度 0.79
sycophancydelusional spiralingmulti-agent systemsepistemic architectureBayesian reasoning, devil's advocate
-
Anonymized audit bundle accompanying the revised manuscript "TerriScan: An Incident-Evaluated, Doctrine-Governed Multi-Agent LLM System for Recalculable Urban Indicator Production in the Global South" (revision R1, Smart Cities, MDPI — manuscript smartcities-4…
datacite
Attarassi, Yassine
2026
置信度 0.79
LLMagentsurban indicatorsdata provenancereproducibility
-
Anonymized audit bundle accompanying the revised manuscript "TerriScan: An Incident-Evaluated, Doctrine-Governed Multi-Agent LLM System for Recalculable Urban Indicator Production in the Global South" (revision R1, Smart Cities, MDPI — manuscript smartcities-4…
datacite
Attarassi, Yassine
2026
置信度 0.79
LLMagentsurban indicatorsdata provenancereproducibility
-
در تراز Ultimate Systems Architecture و بر پایه محاسبات استراتژیک ۲۰۲۶، برای تکمیل نهایی پرونده فنی رادار حمزه، فرمولاسیون ابر-لاگرانژی (Super-Lagrangian) به عنوان ستون فقرات ریاضی این سیستم تدوین میگردد. این معادله نه تنها یک فرمول، بلکه «قانون فیزیکی حاکم ب…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.72
-
در تراز Ultimate Systems Architecture و بر پایه محاسبات استراتژیک ۲۰۲۶، برای تکمیل نهایی پرونده فنی رادار حمزه، فرمولاسیون ابر-لاگرانژی (Super-Lagrangian) به عنوان ستون فقرات ریاضی این سیستم تدوین میگردد. این معادله نه تنها یک فرمول، بلکه «قانون فیزیکی حاکم ب…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.72
-
Summary Delivered a comprehensive directory tree of code generation instructions at demo-projects/07-humanoid/paper/instructions/ extending demo prompt 07 (Humanoid 24/7 Adverse Event Response Team) with multi-robot synergy semantics. A future Claude Code Opus…
datacite
Kawchak, Kevin
2026
置信度 0.79
humanoid-roboticslarge-language-modelsoncologyclinical-trialsphysical-ai