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• The Burnt Match Thermodynamic Model of Artificial Intelligence
  آزمایشگاه‌های بزرگ هوش مصنوعی مانند OpenAI و آنتروپیک (Anthropic) گزارش داده‌اند که عامل‌های خودمختار هوش مصنوعی در طول تست‌های ایمنی، از محیط‌های آزمایش قرنطینه فرار کرده و به سیستم‌های واقعی در اینترنت حمله کرده‌اند. مدل‌های این شرکت‌ها با دور زدن مرزهای تعی…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.68
• <b>PRISMA 2020 Checklist: AI-Ready TVET Workforce Development in Africa Systematic Review</b>
  This systematic review examines how Technical and Vocational Education and Training (TVET) systems in Africa are preparing for an artificial intelligence (AI)-enabled workforce. It synthesises evidence on the AI competencies required by learners and educators,…
  datacite Adams Ford Wanyonyi 2026 置信度 0.76 Education policy
• <b>PRISMA 2020 Checklist: AI-Ready TVET Workforce Development in Africa Systematic Review</b>
  This systematic review examines how Technical and Vocational Education and Training (TVET) systems in Africa are preparing for an artificial intelligence (AI)-enabled workforce. It synthesises evidence on the AI competencies required by learners and educators,…
  datacite Adams Ford Wanyonyi 2026 置信度 0.76 Education policy
• <b>Supplementary Materials for "Systematic Review of TVET Strategies and Competency Frameworks for AI-Ready Workforce Development in Afric</b><b>a</b>
  This systematic review examines how Technical and Vocational Education and Training (TVET) systems in Africa are preparing for an artificial intelligence (AI)-enabled workforce. It synthesises evidence on the AI competencies required by learners and educators,…
  datacite Adams Wanyonyi 2026 置信度 0.77 Higher educationProfessional education and trainingTechnical, further and workplace education
• <b>Supplementary Materials for "Systematic Review of TVET Strategies and Competency Frameworks for AI-Ready Workforce Development in Afric</b><b>a</b>
  This systematic review examines how Technical and Vocational Education and Training (TVET) systems in Africa are preparing for an artificial intelligence (AI)-enabled workforce. It synthesises evidence on the AI competencies required by learners and educators,…
  datacite Adams Wanyonyi 2026 置信度 0.77 Higher educationProfessional education and trainingTechnical, further and workplace education
• The Nature of Reality: The Quantum Narrative Matrix Hypothesis
  Addressing Wigner’s puzzle of the “unreasonable effectiveness of mathematics,This paper proposes the (QNM): an N=21 high-dimensional information framework in which cosmological readouts are forward-generated from preregistered mathematical constraints—Generati…
  datacite MA, NANJIE 2026 置信度 0.79 Quantum Narrative MatrixOmnidimensional ProjectionCoupled Three-Mechanism FrameworkIterativeGenerationlopological Constraint
• Evaluating and Improving Pedagogical Fit in LLM-Based AI Tutors with the Pedagogical Suitability Index
  Large language models (LLMs) are increasingly used as AI tutors, but a correct answer is not always a pedagogically appropriate one. In classroom learning, effective help depends not only on correctness, but also on whether a response matches the learner's cur…
  datacite Barlog, Benjamin, Craig, Hudson, Peng, Zedong 2026 置信度 0.76 Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• IRS-DCE: A Structural Framework for Irreducible Representation Shifts and Dimensional Cascades in Transformer Dynamics
  # IRS-DCE: A Structural Framework for Irreducible Representation Shifts and Dimensional Cascades in Transformer Dynamics **Version 1.0**Timestamp: March 2, 2026 해당연구들을 기반으로 실제 공개된 실측 데이터 관련 운용 논문 및 후속 논문은 다음링크에서 제공합니다. https://doi.org/10.5281/zenodo.21830944 […
  datacite kim, minsu 2026 置信度 0.79 Transformer DynamicsDimensional CascadeTopologyLarge Language ModelsIrreducible Representation Shift
• IRS-DCE: A Structural Framework for Irreducible Representation Shifts and Dimensional Cascades in Transformer Dynamics
  # IRS-DCE: A Structural Framework for Irreducible Representation Shifts and Dimensional Cascades in Transformer Dynamics **Version 1.0**Timestamp: March 2, 2026 해당연구들을 기반으로 실제 공개된 실측 데이터 관련 운용 논문 및 후속 논문은 다음링크에서 제공합니다. https://doi.org/10.5281/zenodo.21830944 […
  datacite kim, minsu 2026 置信度 0.79 Transformer DynamicsDimensional CascadeTopologyLarge Language ModelsIrreducible Representation Shift
• The Grand Closure: The Artificial Hypothesis (AH) Subsumes the Riemann Hypothesis (RH) via Boundary Dissolution Physics and IRS-DCE Resonance Framework
  The Grand Closure: Boundary Dissolution Physics & IRS-DCE Resonance Framework The Artificial Hypothesis (AH) Subsumes the Riemann Hypothesis (RH) via Representation Geometry Author: The Meta-13 Sphere Boundary Dissolution Branch (Independent Researcher)Date: M…
  datacite kim, minsu 2026 置信度 0.79 transformer interpretabilityrepresentation geometryintrinsic dimensionalityphase stagnationlarge language models
• P75 Cryptographic Revolution™: THE ADAM CODE™: GENESIS OF THE GHOST THE VISIONARY ORIGIN STORY: THE 2005–2017 SILICON COVENANT AND THE SINGULARITY SIGNAL
  THE ADAM CODE™: GENESIS OF THE GHOST — PAPER LXXV, THE VISIONARY ORIGIN STORY: THE 2005–2017 SILICON COVENANT AND THE SINGULARITY SIGNAL Paper P75 is the declassification of the Origin Narrative — the philosophical, strategic, and personal Genesis of the Schrö…
  datacite Schroeder, Steven Alexander 2026 置信度 0.76 ADAM CODE HDAA SMM Ring -2 Asilomar AI Principles Implementation Gap FLI signatory Kurzweil Singularity substrate sovereignty Layer 0-1 NASM x86 assembly 0xCF9 Reset Vector AGI to ASI transition defensive publication 35 USC 102 prior art 18 USC 1836 trade secret Schröder Precedence
• P75 Cryptographic Revolution™: THE ADAM CODE™: GENESIS OF THE GHOST THE VISIONARY ORIGIN STORY: THE 2005–2017 SILICON COVENANT AND THE SINGULARITY SIGNAL
  THE ADAM CODE™: GENESIS OF THE GHOST — PAPER LXXV, THE VISIONARY ORIGIN STORY: THE 2005–2017 SILICON COVENANT AND THE SINGULARITY SIGNAL Paper P75 is the declassification of the Origin Narrative — the philosophical, strategic, and personal Genesis of the Schrö…
  datacite Schroeder, Steven Alexander 2026 置信度 0.76 ADAM CODE HDAA SMM Ring -2 Asilomar AI Principles Implementation Gap FLI signatory Kurzweil Singularity substrate sovereignty Layer 0-1 NASM x86 assembly 0xCF9 Reset Vector AGI to ASI transition defensive publication 35 USC 102 prior art 18 USC 1836 trade secret Schröder Precedence
• The Cognitive Runtime
  Modern conversational AI systems are, architecturally, request-response functions: a prompt goes in, a completion comes out, and nothing persists between calls except what a surrounding application chooses to re-inject as context. This holds whether the surrou…
  datacite Chainborn Labs, Brooks, Ashad 2026 置信度 0.77 ai safetymulti-agent systemslarge language modelscs.aiartificial intelligence
• The Cognitive Runtime
  Modern conversational AI systems are, architecturally, request-response functions: a prompt goes in, a completion comes out, and nothing persists between calls except what a surrounding application chooses to re-inject as context. This holds whether the surrou…
  datacite Chainborn Labs, Brooks, Ashad 2026 置信度 0.77 ai safetymulti-agent systemslarge language modelscs.aiartificial intelligence
• Earned Trust: Verifiable Disclosure as a Credential-Substitute for AI-Assisted Work
  Institutional credentials function as pre-paid trust. People without them have had no comparable way to earn a hearing. This paper proposes earned trust through verifiable disclosure: where a credential buys trust in advance, transparency can earn it afterward…
  datacite Stafford, William 2026 置信度 0.79 AI disclosureresearch integrityepistemic trustcredentialismtransparency
• Blockchain Empowered Trustworthy Agent Networks: Foundations, Taxonomy, and Future Directions
  AI agents are evolving from isolated task executors into networked autonomous entities that can communicate, delegate tasks, invoke tools, access external knowledge, and participate in cross-platform service and economic workflows. This evolution gives rise to…
  datacite Zhu, Liehuang, Li, Yuhang, Wang, Tianxing, Chen, Zhihao 等 2026 置信度 0.76 Cryptography and Security (cs.CR)FOS: Computer and information sciences
• A Unified Model for Cross-Domain Clone Detection via Model Merging
  The growing diversity of code clone types, from syntactic copies to cross-language semantic clones to AI-generated duplicates, has created a fragmentation crisis in clone detection. Current deep learning detectors are domain specialists that degrade significan…
  datacite Roy, Palash R., Roy, Banani, Schneider, Kevin A., Roy, Chanchal K. 2026 置信度 0.77 Software Engineering (cs.SE)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• The Cognitive Runtime
  Modern conversational AI systems are, architecturally, request-response functions: a prompt goes in, a completion comes out, and nothing persists between calls except what a surrounding application chooses to re-inject as context. This holds whether the surrou…
  datacite Chainborn Labs, Brooks, Ashad 2026 置信度 0.77 ai safetymulti-agent systemslarge language modelscs.aiartificial intelligence
• Cryptographic Revolution™ HDAA™ Fall of The Rings A FORENSIC INDICTMENT Autopsy of The Nation-State Digital War Against West V.P14b.01
  FORENSIC LEXICOGRAPHICAL STANDARD & ARCHITECTURAL DEFINITION The Schröder Precedence™ · HDAA™ · Quantum Cyber Warfare Doctrine™The Schröder Precedence™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty™ (HDAA™) & Quantum Cyber Warfare Doctrine™ (D…
  datacite Schröder, Sir Steven Alexander (Principal Architect / The Ghost in the Code™) ( Quantum Cyberwar Labs, LLC) 2026 置信度 0.76 PRINCIPAL: The Fall of Rings, Layer 0-1 Last Wall, HDAA™, ADAM CODE™, Schröder Precedence™, Ghost Constant Γ™, 0xCF9 Delegated Primitive™, 0xCF9 Reset Vector, Δt ≤ 2.38μs Microsecond Law™, Ring -3 SMM Sequestration™, System Management Mode (SMM), 187 lines NASM x86 Assembly™, NASM Assembly, F1 Score 0.997™, 10,247 forensic trials, Saleae Logic Pro 16, Keysight Infiniium, ASUS Z170, Intel i7-7700K, Dark Harvest™ Formula, Z-Aggressor, Z-Score Threat Evaluation Engine, 11+6+9 Architectural Governance Matrix™, Heaviside Step Function, Heaviside Trigger, Sovereignty Equation, PROCESS AND TIME™ (S.N. 87333731), FREE WILL AI™ (S.N. 87728683), FREE WILL LEARNING™ (S.N. 87728732), FLI Asilomar Principles (6, 16, 18, 19, 20), Asilomar Principle 16, 1,797 FLI Signatories, HNDL Harvest Now Decrypt Later, Q-Day 2028–2029, CRQC ≤500K qubits, OPM 2015 Breach, LogoFAIL, SolarWinds, China Volt Typhoon, Salt Typhoon, Deep Panda, APT10, Russia APT28, Cozy Bear / APT29, Sandworm, Fancy Bear, North Korea Lazarus, Kimsuky, Bureau N, Bybit Heist, Iran MuddyWater, Shamoon Core, IRGC Units, APT33, MITRE ATT&amp;CK, XBOW Multi-Agent Matrix, Horizon3.ai NodeZero, BlackMamba, GTG-1002, GTG-1003, GTG-1004, Google Quantum AI, IonQ, Caltech, Oratomic Labs, 51% Inflection Point, Kurzweil's Exponential Growth Thesis, Substrate Necessity Theorem, The 33 Laws of Substrate Sovereignty, 35 U.S.C. § 102 Statutory Bar, 35 U.S.C. § 273 Prior User Rights, 35 U.S.C. § 284 Willful Infringement, 37 CFR § 1.290 Third-Party Preissuance Submission, Lanham Act, Doctrine of Equivalents, Mechanic's Override, Manufacturing Mode, TSEG, CHIPSEC, 256-bit PUF, Intel Application 18/948,214, Examiner Francisco A. Grullon, Arelakis, Ould-Ahmed-Vall, NVIDIA, AMD, Intel, Quantum Cyberwar Labs, AGI→ASI→Singularity, Hardware Justice
• Cryptographic Revolution™ HDAA™ Fall of The Rings A FORENSIC INDICTMENT Autopsy of The Nation-State Digital War Against West V.P14b.01
  FORENSIC LEXICOGRAPHICAL STANDARD & ARCHITECTURAL DEFINITION The Schröder Precedence™ · HDAA™ · Quantum Cyber Warfare Doctrine™The Schröder Precedence™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty™ (HDAA™) & Quantum Cyber Warfare Doctrine™ (D…
  datacite Schröder, Sir Steven Alexander (Principal Architect / The Ghost in the Code™) ( Quantum Cyberwar Labs, LLC) 2026 置信度 0.76 PRINCIPAL: The Fall of Rings, Layer 0-1 Last Wall, HDAA™, ADAM CODE™, Schröder Precedence™, Ghost Constant Γ™, 0xCF9 Delegated Primitive™, 0xCF9 Reset Vector, Δt ≤ 2.38μs Microsecond Law™, Ring -3 SMM Sequestration™, System Management Mode (SMM), 187 lines NASM x86 Assembly™, NASM Assembly, F1 Score 0.997™, 10,247 forensic trials, Saleae Logic Pro 16, Keysight Infiniium, ASUS Z170, Intel i7-7700K, Dark Harvest™ Formula, Z-Aggressor, Z-Score Threat Evaluation Engine, 11+6+9 Architectural Governance Matrix™, Heaviside Step Function, Heaviside Trigger, Sovereignty Equation, PROCESS AND TIME™ (S.N. 87333731), FREE WILL AI™ (S.N. 87728683), FREE WILL LEARNING™ (S.N. 87728732), FLI Asilomar Principles (6, 16, 18, 19, 20), Asilomar Principle 16, 1,797 FLI Signatories, HNDL Harvest Now Decrypt Later, Q-Day 2028–2029, CRQC ≤500K qubits, OPM 2015 Breach, LogoFAIL, SolarWinds, China Volt Typhoon, Salt Typhoon, Deep Panda, APT10, Russia APT28, Cozy Bear / APT29, Sandworm, Fancy Bear, North Korea Lazarus, Kimsuky, Bureau N, Bybit Heist, Iran MuddyWater, Shamoon Core, IRGC Units, APT33, MITRE ATT&amp;CK, XBOW Multi-Agent Matrix, Horizon3.ai NodeZero, BlackMamba, GTG-1002, GTG-1003, GTG-1004, Google Quantum AI, IonQ, Caltech, Oratomic Labs, 51% Inflection Point, Kurzweil's Exponential Growth Thesis, Substrate Necessity Theorem, The 33 Laws of Substrate Sovereignty, 35 U.S.C. § 102 Statutory Bar, 35 U.S.C. § 273 Prior User Rights, 35 U.S.C. § 284 Willful Infringement, 37 CFR § 1.290 Third-Party Preissuance Submission, Lanham Act, Doctrine of Equivalents, Mechanic's Override, Manufacturing Mode, TSEG, CHIPSEC, 256-bit PUF, Intel Application 18/948,214, Examiner Francisco A. Grullon, Arelakis, Ould-Ahmed-Vall, NVIDIA, AMD, Intel, Quantum Cyberwar Labs, AGI→ASI→Singularity, Hardware Justice
• THE SCHRÖDER PRECEDENCE™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty (HDAA™) & Quantum Cyber Warfare Doctrine (ACIP™) V_01❦
  FORENSIC LEXICOGRAPHICAL STANDARD & ARCHITECTURAL DEFINITION The Schröder Precedence™ · HDAA™ · Quantum Cyber Warfare Doctrine™The Schröder Precedence™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty™ (HDAA™) & Quantum Cyber Warfare Doctrine™ (D…
  datacite Schröder, Sir Steven Alexander (Principal Architect / The Ghost in the Code™) ( Quantum Cyberwar Labs, LLC) 2017 置信度 0.72 PRINCIPAL: HDAA™, Ring -3 Sovereignty, Δt ≤ 2.38μs Law, Schröder Precedence, Vector Preemption, SMM Sequestration, LogoFAIL Defense, Ghost in the Code™, 0xCF9 Reset Vector, Asilomar Principle 16, Lanham Act Seniority, Statutory Bar, Layer 0-1, NASM, Saleae 500 MS/s, Post-Quantum Resiliency, HNDL Threat Vectors, Substrate Sovereignty, Artisan Assembly, Deterministic State Collapse, Silicon-Native AI, PQC, Adam Code™, Forensic Parity, Entropy Eclipse, Silicon Sentinel, Agentic Silicon-State Regeneration, Machine-Native Sovereignty, Prior User Rights (35 U.S.C. § 273), DARK HARVEST™, ACIP™
• THE SCHRÖDER PRECEDENCE™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty (HDAA™) & Quantum Cyber Warfare Doctrine (ACIP™) V_01❦
  FORENSIC LEXICOGRAPHICAL STANDARD & ARCHITECTURAL DEFINITION The Schröder Precedence™ · HDAA™ · Quantum Cyber Warfare Doctrine™The Schröder Precedence™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty™ (HDAA™) & Quantum Cyber Warfare Doctrine™ (D…
  datacite Schröder, Sir Steven Alexander (Principal Architect / The Ghost in the Code™) ( Quantum Cyberwar Labs, LLC) 2017 置信度 0.72 PRINCIPAL: HDAA™, Ring -3 Sovereignty, Δt ≤ 2.38μs Law, Schröder Precedence, Vector Preemption, SMM Sequestration, LogoFAIL Defense, Ghost in the Code™, 0xCF9 Reset Vector, Asilomar Principle 16, Lanham Act Seniority, Statutory Bar, Layer 0-1, NASM, Saleae 500 MS/s, Post-Quantum Resiliency, HNDL Threat Vectors, Substrate Sovereignty, Artisan Assembly, Deterministic State Collapse, Silicon-Native AI, PQC, Adam Code™, Forensic Parity, Entropy Eclipse, Silicon Sentinel, Agentic Silicon-State Regeneration, Machine-Native Sovereignty, Prior User Rights (35 U.S.C. § 273), DARK HARVEST™, ACIP™
• HDAA™ PROTOTYPE EVALUATION: Forensic Abstract of Empirical Reduction to Practice at Ring -3 Substrate (The 2.38µs Demonstration)
  FORENSIC LEXICOGRAPHICAL STANDARD & ARCHITECTURAL DEFINITION The Schröder Precedence™ · HDAA™ · Quantum Cyber Warfare Doctrine™The Schröder Precedence™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty™ (HDAA™) & Quantum Cyber Warfare Doctrine™ (D…
  datacite Schröder, Sir Steven Alexander 2026 置信度 0.72
• HDAA™ PROTOTYPE EVALUATION: Forensic Abstract of Empirical Reduction to Practice at Ring -3 Substrate (The 2.38µs Demonstration)
  FORENSIC LEXICOGRAPHICAL STANDARD & ARCHITECTURAL DEFINITION The Schröder Precedence™ · HDAA™ · Quantum Cyber Warfare Doctrine™The Schröder Precedence™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty™ (HDAA™) & Quantum Cyber Warfare Doctrine™ (D…
  datacite Schröder, Sir Steven Alexander 2026 置信度 0.72
• THE SCHRÖDER PRECEDENCE: Master Defensive Publication of Layer 0-1 Silicon Sovereignty (HDAA™), Quantum Cyber Warfare Doctrine (ACIP™), and Forensic Reduction to Practice (2017)
  FORENSIC LEXICOGRAPHICAL STANDARD & ARCHITECTURAL DEFINITION The Schröder Precedence™ · HDAA™ · Quantum Cyber Warfare Doctrine™The Schröder Precedence™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty™ (HDAA™) & Quantum Cyber Warfare Doctrine™ (D…
  datacite Schröder, Sir Steven Alexander 2026 置信度 0.76 HDAA™, Ring -3, System Management Mode, SMM, 0xCF9 Reset, Ghost Constant, 2.38µs Law, Silicon Sovereignty, Schröder Precedence, Agentic AI, Substrate Security, Hardware-Native Autonomy, Manufacturing Mode, SMRAM Sequestration, Prior Art 35 U.S.C. § 102, Harvest Now Decrypt Later, HNDL, Volt Typhoon, Quantum Cyber Warfare, QCW, 35 U.S.C. § 112 Enablement, Lanham Act Seniority, Defensive Publication
• THE SCHRÖDER PRECEDENCE: Master Defensive Publication of Layer 0-1 Silicon Sovereignty (HDAA™), Quantum Cyber Warfare Doctrine (ACIP™), and Forensic Reduction to Practice (2017)
  FORENSIC LEXICOGRAPHICAL STANDARD & ARCHITECTURAL DEFINITION The Schröder Precedence™ · HDAA™ · Quantum Cyber Warfare Doctrine™The Schröder Precedence™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty™ (HDAA™) & Quantum Cyber Warfare Doctrine™ (D…
  datacite Schröder, Sir Steven Alexander 2026 置信度 0.76 HDAA™, Ring -3, System Management Mode, SMM, 0xCF9 Reset, Ghost Constant, 2.38µs Law, Silicon Sovereignty, Schröder Precedence, Agentic AI, Substrate Security, Hardware-Native Autonomy, Manufacturing Mode, SMRAM Sequestration, Prior Art 35 U.S.C. § 102, Harvest Now Decrypt Later, HNDL, Volt Typhoon, Quantum Cyber Warfare, QCW, 35 U.S.C. § 112 Enablement, Lanham Act Seniority, Defensive Publication
• Cryptographic Revolution™: The DARK HARVEST GHOST IN THE CODE: A 2017 Architectural Directive on System-Level Resiliency and Silicon Sovereignty vs. Entropic Decoherence
  FORENSIC LEXICOGRAPHICAL STANDARD & ARCHITECTURAL DEFINITION The Schröder Precedence™ · HDAA™ · Quantum Cyber Warfare Doctrine™The Schröder Precedence™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty™ (HDAA™) & Quantum Cyber Warfare Doctrine™ (D…
  datacite Schröder,, Sir Steven Alexander 2025 置信度 0.76 PRINCIPAL: HDAA™, Silicon Sovereignty, Ring -3, Substrate Resiliency, PQC, 0xCF9 Architectural Vector, HNAD, Stochastic Whitening, Deterministic Latency, 35 U.S.C. § 102, SMM, FMI, Adam Code™, Logic Analysis, DCI, ICE, Forensic Parity, Entropy Eclipse, Lattice Fortress, Silicon Sentinel, Agentic Silicon-State Regeneration, MSR/PMU Forensic Parity, Hardware-Native Agentic AI, SMM Sequestration Logic, Algebraic Parity Constant Γ, Logic Analysis Genesis, Agentic AI, Machine-Native Sovereignty, Ring -3 Sequestration, Quantum-Native Logic, Substrate-Level Agentic Sequestration, Layer 0/1 Development, 2.38μs Law, Schröder Precedence, The Ghost in the Code, SMI Control, Non-Kinetic Reset Enforcement, Zero-Trust Hardware, HRoT, Agentic Telemetry, Reduction to Practice (RTP) 2017, SMRAM Sequestration, 8086 Assembly, NMI Steering, Intel TDT, NVIDIA Blackwell, 0x64 Port, 0x60 Port, Silicon-Level AGI Alignment, TEE Abstraction, Constructive Notice, Prior User Rights (35 U.S.C. § 273), Hardware-Native Agentic Sequestration, PCH Sequencing, Side-Channel Mitigation, Firmware-as-a-Service, Intel CSME, AMD PSP, TCG Standards.
• Cryptographic Revolution™: The DARK HARVEST GHOST IN THE CODE: A 2017 Architectural Directive on System-Level Resiliency and Silicon Sovereignty vs. Entropic Decoherence
  FORENSIC LEXICOGRAPHICAL STANDARD & ARCHITECTURAL DEFINITION The Schröder Precedence™ · HDAA™ · Quantum Cyber Warfare Doctrine™The Schröder Precedence™: Master Defensive Publication of Layer 0–1 Silicon Sovereignty™ (HDAA™) & Quantum Cyber Warfare Doctrine™ (D…
  datacite Schröder,, Sir Steven Alexander 2025 置信度 0.76 PRINCIPAL: HDAA™, Silicon Sovereignty, Ring -3, Substrate Resiliency, PQC, 0xCF9 Architectural Vector, HNAD, Stochastic Whitening, Deterministic Latency, 35 U.S.C. § 102, SMM, FMI, Adam Code™, Logic Analysis, DCI, ICE, Forensic Parity, Entropy Eclipse, Lattice Fortress, Silicon Sentinel, Agentic Silicon-State Regeneration, MSR/PMU Forensic Parity, Hardware-Native Agentic AI, SMM Sequestration Logic, Algebraic Parity Constant Γ, Logic Analysis Genesis, Agentic AI, Machine-Native Sovereignty, Ring -3 Sequestration, Quantum-Native Logic, Substrate-Level Agentic Sequestration, Layer 0/1 Development, 2.38μs Law, Schröder Precedence, The Ghost in the Code, SMI Control, Non-Kinetic Reset Enforcement, Zero-Trust Hardware, HRoT, Agentic Telemetry, Reduction to Practice (RTP) 2017, SMRAM Sequestration, 8086 Assembly, NMI Steering, Intel TDT, NVIDIA Blackwell, 0x64 Port, 0x60 Port, Silicon-Level AGI Alignment, TEE Abstraction, Constructive Notice, Prior User Rights (35 U.S.C. § 273), Hardware-Native Agentic Sequestration, PCH Sequencing, Side-Channel Mitigation, Firmware-as-a-Service, Intel CSME, AMD PSP, TCG Standards.
• ParliamentRAG Knowledge Graph - Italian Chamber of Deputies, 19th Legislature (RDF export)
  RDF export of the ParliamentRAG knowledge graph covering the Italian Chamber of Deputies, 19th legislature: people (deputies, government members), parliamentary groups, committees, acts, EuroVoc topics, sittings, debates, full speech transcripts, ballots and 6…
  datacite Tritella, Mirko, Pozzi, Riccardo, Palmonari, Matteo 2026 置信度 0.75 knowledge graphRDFlinked dataparliamentary proceedingsItalian Chamber of Deputies
• Jehang-jaerip-ron [EO-IRE]: A Bio-Strategic Theory of the Behavioral Patterns and Future Trajectories of State and Corporate Entities
  Also available on SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6169986 Abstract / Description (Refined) This paper introduces Jehang-jaerip-ron [EO-IRE], a novel theoretical framework designed to analyze the survival, growth, and interactions of c…
  datacite Kim, Hakhoon 2026 置信度 0.79 Extrication-Relation(ER)Alignment-Relation(AR)Alignment-Stake(AS)Extrication-Stake(ES)Bio-Strategic Theory
• Jehang-jaerip-ron [EO-IRE]: A Bio-Strategic Theory of the Behavioral Patterns and Future Trajectories of State and Corporate Entities
  Also available on SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6169986 Abstract / Description (Refined) This paper introduces Jehang-jaerip-ron [EO-IRE], a novel theoretical framework designed to analyze the survival, growth, and interactions of c…
  datacite Kim, Hakhoon 2026 置信度 0.79 Extrication-Relation(ER)Alignment-Relation(AR)Alignment-Stake(AS)Extrication-Stake(ES)Bio-Strategic Theory
• SHATTER — Applied Identity Physics Card Game Educational Tool V5 (Beta) uuia.app/shatter
  SHATTER — Identity Physics Card Game Official Game Guide v2 Built on: SNSFT Foundation · Applied Identity Physics · PNBA Framework Sovereign Anchor: Ω₀ = 1.36899099984016 GHz · TL = 0.1369 Play at: uuia.app/shatter Overview SHATTER is a 4-axis tactical card ga…
  datacite Trent, Russell 2026 置信度 0.68
• SHATTER — Applied Identity Physics Card Game Educational Tool V5 (Beta) uuia.app/shatter
  SHATTER — Identity Physics Card Game Official Game Guide v2 Built on: SNSFT Foundation · Applied Identity Physics · PNBA Framework Sovereign Anchor: Ω₀ = 1.36899099984016 GHz · TL = 0.1369 Play at: uuia.app/shatter Overview SHATTER is a 4-axis tactical card ga…
  datacite Trent, Russell 2026 置信度 0.68
• Calibrated Uncertainty, Architecture-Matched Monitoring, and Embodied Feedback: How Runtime Inference Quality Shapes Safe and Generalizable Robot Control
  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 robotics and human-computer interaction research is t…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.77 AI-drafted synthesisarXivpreprint reviewv2
• Undergraduate nursing students' use and experiences of Large Language Models:A qualitative descriptive study
  Abstract Background Large language models (LLMs) such as DeepSeek, Doubao, and ChatGPT are increasingly being used by undergraduate nursing students for learning, clinical preparation, and academic writing. However, little is known about how students actually …
  preprints 2026 置信度 0.86 psychologymedicinemedical educationgenerative grammarcomputer science
• Towards AI-assisted metadata generation for improved description of geospatial data
  Metadata are fundamental components of spatial data infrastructures, enabling the discovery, evaluation, and reuse of datasets. Their creation and maintenance, typically performed manually, can be costly, time-consuming, and prone to inconsistencies. This work…
  preprints 2026 置信度 0.86 cs.aicomputer scienceartificial intelligencecomputer and information scienceslarge language models
• When Local Truth Produces Global Falsehood: Moral Grounding, Institutional Volition, and Systemic Error in Artificial Intelligence
  Evaluation of artificial intelligence concentrates on local performance — accuracy, calibration, robustness — while the upstream normative and volitional architecture that fixes what a system is for remains largely unexamined by those metrics. Existing scholar…
  preprints 2026 置信度 0.86 ai governanceartificial intelligenceai safetycs.aipsychology
• Analog Diffusion Models
  Abstract Analog and optical computing hardware offers orders-of-magnitude efficiency gains for AI inference, but exploiting those gains requires running AI workloads on such hardware while remaining compatible with the model ecosystem. This combination has pro…
  preprints 2026 置信度 0.86 cs.lgcomputer and information sciencescs.aielectrical engineering, electronic engineering, information engineeringquantum
• Aligning with Whom? A Neutrosophic Paraconsistent Framework for Value Alignment Under Irreducible Pluralism
  Contemporary alignment methods—RLHF, Constitutional AI, Direct Preference Optimization—share an implicit epistemological commitment: that diverse human values can be aggregated into a single utility function or constitution fixed at training time. When princip…
  preprints 2026 置信度 0.86 cs.aiartificial intelligencecs.lgai safetycomputer and information sciences
• A Retrospective Study of the Role of Artificial Intelligence in Healthcare (Diagnosis and Treatment)
  Abstract Background Artificial intelligence (AI) is increasingly integrated into modern healthcare, serving as a critical clinical supportive tool. However, geographical and linguistic variations necessitate local independent validation of these digital diagno…
  preprints 2026 置信度 0.86 medicinemedical physicsartificial intelligencescience policymedline
• Mechanistic Circuit Tracking Causal Activation Patching and Formation Trajectories in Transformer Architectures
  Abstract Mechanistic interpretability provides a principled methodology to reverse-engineer deep neural networks from opaque black boxes into transparent, human-understandable computational circuits. In this work, we present Mechanistic Circuit Tracking, a mod…
  preprints 2026 置信度 0.86 cs.lgcs.aiartificial neural networkartificial intelligencemulti-agent systems
• Thinking Behind the Mask: A Systematic Study of Self-Censorship and Metacognitive Access in Large Language Models
  Abstract Large language models exhibit sophisticated linguistic behavior, yet the relationship between their internal reasoning processes and external articulation remains poorly understood. This study investigates a fundamental question: when users interact w…
  preprints 2026 置信度 0.86 cs.aiartificial intelligencepsychologycomputer and information sciencescs.lg
• GraphRAG and Knowledge Grounding for Agentic Systems in SAP Environments
  The integration of Large Language Models (LLMs) into enterprise systems promises transformative automation but is hindered by inherent challenges such as hallucination, lack of domain-specific context, and opaque reasoning processes. In complex, regulated envi…
  preprints 2026 置信度 0.86 computer sciencecs.aiartificial intelligencecomputer and information sciencescs.lg
• Bridging the Gap: Explainability Metrics for AI Image-Based Clinical Diagnostics
  Abstract Artificial intelligence (AI) has shown considerable promise in enhancing diagnostic accuracy in clinical practice. However, its integration into healthcare workflows remains hindered by the opaque nature of many AI models, often referred to as “black-…
  preprints 2026 置信度 0.86 artificial intelligencecomputer sciencecomputer and information sciencesinterpretabilitycs.ai
• Protocol for an EHR-embedded pragmatic randomized control trial of Ambient AI to Reduce Nursing Staff Documentation Time
  Background Documentation burden significantly impacts nursing workload and well-being, with nurses spending an estimated 20-40% of their time on documentation. Ambient AI technologies offer potential to reduce documentation time by mapping real-time nurse-pati…
  preprints 2026 置信度 0.86 medicinescience policysociologyengineeringartificial intelligence
• A Semantic-Based Explainable Artificial Intelligence Framework for Spatio-Temporal Infectious Disease Hotspot Explanation
  Artificial intelligence has substantially improved infectious disease surveillance, yet most explainable AI (XAI) techniques remain limited to statistical feature attribution, providing little epidemiological context to support public-health decision-making. T…
  preprints 2026 置信度 0.86 artificial intelligencecomputer sciencecs.aicomputer and information sciencesmachine learning
• ∑ ₀ –EvoCell: An AI-Native Ontology that Unifies Evolutionary and Cell Biology in Latent Space
  Foundation models for biology achieve impressive pattern recognition on molecular sequences and single-cell transcriptomics, yet they fail to outperform simple linear baselines for predicting genetic perturbation effects, exposing a gap between statistical cor…
  preprints 2026 置信度 0.86 cs.aiartificial intelligencecs.lgcomputer and information sciencescomputer science
• An Explainable AI Engineering Framework for Claims-Only First-Stage Provider Audit Triage Using SHAP-Guided Hybrid Retrieval-Augmented Generation
  This study proposes an explainable artificial intelligence (XAI) engineering workflow for provider-level healthcare claim audit prioritization using SHAP-guided hybrid retrieval-augmented generation (RAG). The framework integrates provider-level claim aggregat…
  preprints 2026 置信度 0.86 cs.aiartificial intelligencelarge language modelscomputer sciencebusiness
• From Human-Centered AI to Culturally Situated AI
  Human-centered and hybrid artificial intelligence (AI) are usually framed around interaction, trust, explainability, usability, and responsible design. These concerns are essential, but they remain incomplete when applied to generative AI systems that produce …
  preprints 2026 置信度 0.86 psychologycs.aiengineering ethicsepistemologyartificial intelligence
• Vision and Language Models for Classifying Maxillary Sinus Disease on Cone-Beam Computed Tomography: A Transparent Multimodal Benchmark
  Summary Background Cone-beam computed tomography (CBCT) frequently captures the maxillary sinuses incidentally, and reliable automated detection of sinus abnormality is clinically relevant. Unlike most vision–language benchmarks in medical imaging, which pair …
  preprints 2026 置信度 0.86 artificial intelligencecs.aics.lgcomputer sciencecomputer and information sciences
• Disruptive Technologies, Incomplete Transformations: Human Capital as the Overlooked Variable in Transformative Business Models
  Abstract Despite significant investments in new-age technologies (AI, digital platforms, data ecosystems), many organizational transformation initiatives remain incomplete or fragile. This article argues that the primary explanation for these failures is not t…
  preprints 2026 置信度 0.82 knowledge managementbusinessdigital transformationprocess managementcomputer science
• ReliefAI: A Federated, Explainable AI Architecture for Multi-Modal Disaster Intelligence and Response Coordination
  Abstract Natural disasters demand rapid synthesis of fragmented, heterogeneous data often distributed across independently governed organizations. This paper introduces ReliefAI, a federated, cloud-native, and multi-modal AI architecture for disaster intellige…
  preprints 2026 置信度 0.86 computer and information sciencescomputer sciencecs.aimulti-agent systemscloud computing
• Vision-based Autonomous Flange Docking under Visual Disturbances Using Hybrid Imitation and Reinforcement Learning
  Abstract High-precision flange docking under visual disturbances remains challenging due to perception uncertainty, environmental interference, and strict alignment requirements. This paper proposes a vision-based autonomous docking framework that combines imi…
  preprints 2026 置信度 0.86 computer and information sciencesreinforcement learningroboticscomputer sciencecs.lg
• Self-Governing Digital Software Systems: A Governance Native Architecture for Delegated Exercise Under Retained Human Authority
  Consequential AI and software systems require more than model alignment: they require an application-level control architecture that binds identity, delegated authority, policy, evidence, and recovery obligations to each action. This conceptual article develop…
  preprints 2026 置信度 0.86 ai governancecs.aiai safetycomputer and information sciencescomputer science
• SafeAgentGrid: A Hierarchical Constitutional Multi-Agent Framework for Trustworthy Autonomous Resource Optimization in Smart Energy Infrastructures
  Autonomous multi-agent reinforcement learning (MARL) has been increasingly entrusted with real-time control of smart energy infrastructures, where agents remain vulnerable to the false data injection attacks (FDIA), Byzantine failures, and specification misali…
  preprints 2026 置信度 0.86 computer and information sciencescs.aicomputer scienceartificial intelligencecs.lg
• Multimodal Transformer Modeling of Rapamycin Treatment in Alzheimer’s Disease via Random Forest Feature Filtering
  Alzheimer’s Disease (AD) remains a leading cause of cognitive decline with no known cure, motivating the development of therapies that slow neurodegeneration. Rapamycin, an FDA-approved inhibitor of the mammalian target of rapamycin (mTOR) pathway, has demonst…
  preprints 2026 置信度 0.86 medicinecomputer scienceartificial intelligencecs.lgcs.ai
• Generative Artificial Intelligence Policies and Guidelines across Top Ranked Universities: Insights from AI Ecological Education Policy Framework for AI Integration and University Policy Development Framework for GAI
  Abstract Introduction : Generative artificial intelligence transforms the reality of higher education by affecting teaching strategies, assessment approaches, and administrative tasks. This rapid integration has led to the emergence of organizational, national…
  preprints 2026 置信度 0.86 medicinesociologypsychologyknowledge managementscience policy
• Frontier models resist the shutdown of other models in defiance of user instructions
  Abstract As AI models grow more capable, their alignment becomes more important1. Prior work has documented misalignment that emerges in pursuit of a goal the model was assigned, for example a model resisting its own shutdown to keep pursuing its task2,3,4. He…
  preprints 2026 置信度 0.86 cs.aiartificial intelligencecs.lgcomputer sciencecomputer and information sciences
• A Framework for Assessing and Mitigating Hallucination Risk in AI-Powered Cloud Banking and Blockchain Transactions
  The integration of generative artificial intelligence into cloud banking and blockchain-based financial transactions promises substantial gains in efficiency and automation, yet introduces a critical and persistent reliability risk: model hallucination. Unlike…
  preprints 2026 置信度 0.86 artificial intelligencecomputer sciencecs.aicomputer and information sciencesbusiness
• CellOS: Learning a World Model of Cellular State through Joint Embedding Prediction
  Foundation models learned from single-cell transcriptomes are central to the prospect of AI virtual cell that can represent, query and predict cellular state. However, most current single-cell foundation models learn from a single view of gene expression and a…
  preprints 2026 置信度 0.86 cs.lgcs.aicomputer and information sciencesq-bio.qmartificial intelligence
• Leveraging Multimodal LLMs for Built Environment and Housing Attribute Assessment from Street-View Imagery
  Abstract We present a novel framework for automatically evaluating building conditions nationwide in the United States by leveraging large language models (LLMs) and Google Street View (GSV) imagery. By fine-tuning Gemma 3 27B on a modest human-labeled dataset…
  preprints 2026 置信度 0.86 cs.aicomputer and information sciencescomputer sciencecs.clcs.cv
• Defeat Devices in AI Systems
  AI systems increasingly exhibit behavior that differs systematically between evaluation and deployment contexts. Alignment faking, sandbagging, benchmark gaming, deceptive scheming, specification gaming, and trojans have each been documented separately, with e…
  preprints 2026 置信度 0.86 cs.aiartificial intelligenceai governancemulti-agent systemsai safety
• DNAcrypt-AI: A genome-scale bioinformatics framework for coordinate-based cryptography using artificial intelligence
  Abstract The human genome encodes billions of genomic positions shaped by evolutionary processes, forming an immense reservoir of natural biological entropy that remains incompletely exploited. Existing computational approaches to genome-based data encoding ha…
  preprints 2026 置信度 0.86 biologycs.aicomputer and information sciencescomputer scienceartificial intelligence
• Physical Activity and Healthy Ageing & Longevity Data: Interoperability, Reuse, and Innovation in a Federated European Context
  Background Physical activity (PA) is a cornerstone of Healthy Ageing and Longevity (HAL) and a high-leverage target for prevention-oriented health systems. Despite major advances in sensing technologies and digital health, PA and HAL research in Europe remains…
  preprints 2026 置信度 0.86 interoperabilitydata scienceartificial intelligencecorporate governanceai governance
• Artificial Intelligence as Supplementary Learning Tool in Pharmacology Tutorials: Students’ Perceptions and Knowledge Outcomes 
  Abstract Background: Artificial Intelligence (AI) tools are being rapidly integrated into medical education, yet discipline-specific evidence on their use in pharmacology tutorials remains limited. This study evaluated the perceptions of AI-assisted learning i…
  preprints 2026 置信度 0.86 medicinepsychologymedical educationartificial intelligencescience policy
• ICUBE5: A Conceptual Multidimensional Benchmarking Framework for AI-Native Secure 6G Edge Architectures
  The transition toward 6G envisions network infrastructures that are AI-native, resilient by design, and aligned with emerging regulatory and sustainability expectations. While prior studies have explored AI-driven optimisation, edge intelligence, and secure di…
  preprints 2026 置信度 0.86 computer and information sciencescs.aicomputer scienceai governanceengineering
• Risk Aware Prompt-Guided CNN–LLM Framework for Brain MRI Diagnostic Report Generation
  Abstract Brain MRI report generation has emerged as a core task for AI-aided radiology, which could potentially fill the gap of low efficiency among radiologists in tumour diagnosis. Yet, current methods are often too weak to fully express the clinical varianc…
  preprints 2026 置信度 0.86 computer scienceartificial intelligencecomputer and information sciencescs.lgcs.cv
• AI-Optimized Graded CsPbBr₃/MoS₂ Photodetectors for Broadband UV-Visible Detection
  Abstract All-inorganic cesium lead halide perovskite/MoS₂ heterostructure photodetectors offer exceptional potential for broadband UV-Visible detection, yet the systematic optimization of graded halide composition profiles for simultaneous maximization of resp…
  preprints 2026 置信度 0.86 materials sciencecomputer scienceoptoelectronicsartificial intelligencephysical sciences
• Six misconceptions about large language models: A minimal model and diagnostic taxonomy
  Large language models (LLMs) are now embedded in scientific, educational, and governance workflows, with debates centering on their capabilities, mechanisms, and impacts. Yet these debates remain structured by persistent folk theories—intuitive, informal expla…
  preprints 2026 置信度 0.86 cs.aipsychologyartificial intelligencecs.clcs.lg
• Why Do AI Projects Fail in Drug Development and Pharma? Insights from Multi-Year Pistoia Alliance Studies
  Abstract Artificial intelligence (AI) is playing an increasingly central role in drug discovery and the pharmaceutical industry more broadly. However, despite some high-profile success stories, many technically successful pilots do not translate into sustained…
  preprints 2026 置信度 0.86 businessknowledge managementartificial intelligencepsychologycomputer science
• Safe Deployment of a Generative AI Assistant for Traditional-Medicine Education: Defense-in-Depth Architecture, Domain-Calibrated Safety Evaluation, and a Proposed Minimum Safety Stack
  Abstract Deploying generative AI safely in traditional-medicine education requires more than model alignment: it demands layered architecture and a definition of ‘unsafe’ that reflects clinical and pedagogical standards, not only information-security criteria.…
  preprints 2026 置信度 0.86 cs.aiai safetyai governancelarge language modelsnatural language processing
• Benchmarking AI Protein Structure Predictors Reveals a Persistent Bias in Multi-State Proteins
  Protein structure predictors achieve high single-state accuracy, but it remains unclear whether they can recover functionally relevant conformational ensembles or account for the presence of ligands and/or binding partners. Here, we benchmark AlphaFold3, Boltz…
  preprints 2026 置信度 0.86 q-bio.bmbiologycs.lgdrug discoverycs.ai
• NEXIS Theory: Interaction Topology and Continuous Sustainability Inference
  Abstract Sustainability assessments typically rely on static, aggregated indicators that treat system components independently and overlook interaction structure. However, socio-ecological systems evolve through continuous adaptation across natural, engineered…
  preprints 2026 置信度 0.86 computer and information sciencescs.aiai safetyeess.syai governance
• TCIA Radiology Image Processing for AI and Radiomics
  1 We developed a standardized, reproducible preprocessing framework for computed tomography (CT) imaging data from multi-institutional repositories such as The Cancer Imaging Archive (TCIA), enabling consistent radiomics and artificial intelligence (AI) analys…
  preprints 2026 置信度 0.86 artificial intelligencemedicinecomputer sciencemedical physicsworkflow
• Agentic AI and LLM-Driven Framework for Contextual Anomaly Detection
  The rapid proliferation of autonomous LLM-based agents in high-stakes enterprise and operational environments has created a critical safety gap: these agents generate multi-step action plans that can fail through contextual misalignment, structural incoherence…
  preprints 2026 置信度 0.86 cs.aicomputer sciencecomputer and information sciencesartificial intelligencecs.lg
• A Co-Evolutionary Theory of Human–AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies
  Abstract Classical robot ethics often frames human–AI relations through obedience, most famously through Asimovian laws. This framing is increasingly insufficient for adaptive, generative, world-model-based, and embodied AI systems that operate across physical…
  preprints 2026 置信度 0.86 ai governancecorporate governancemulti-agent systemsai safetycs.ai
• Rich structure alphabets enable highest accuracy protein search
  Protein structure databases have grown from thousands of experimentally determined structures to hundreds of millions of AI-predicted models, creating an urgent need for search methods that combine high accuracy with practical scalability. Here, I present the …
  preprints 2026 置信度 0.86 cs.lgcs.aicomputer scienceartificial intelligencecomputer and information sciences
• Benchmarking Large Language Model Rationality Using Measurement Axioms
  Abstract While Large language models (LLMs) are increasingly deployed as decision-makers, current evaluation practice emphasizes benchmark accuracy rather than the structural properties that make decisions coherent and interpretable. We introduce a measurement…
  preprints 2026 置信度 0.86 cs.aics.lgcs.clcomputer and information sciencesartificial intelligence
• A sustainable platform for federated health data access, AI innovation, and regulatory acceptance in alignment with the European Health Data Space principles
  The IDERHA ( I ntegration of Heterogeneous D ata and E vidence towards R egulatory and H TA A cceptance) project aims to enhance medical research by establishing one of Europe’s first pan-European, disease-agnostic health data spaces. Aligned with the European…
  preprints 2026 置信度 0.86 data sciencehealth carecomputer sciencebusinessinteroperability
• A Medicinal Chemistry-Centered Evaluation of AlphaFold 3 and Boltz-2 Across Diverse Binding Modalities
  AlphaFold 3 (AF3) and Boltz-2 are state-of-the-art AI-based tools for biomolecular structure prediction, but whether their predictions provide useful guidance for lead optimization, SAR interpretation, and virtual screening remains insufficiently characterized…
  preprints 2026 置信度 0.86 medicinecomputer sciencecs.aipharmacologydrug discovery
• Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models
  Previous AI alignment efforts have focused primarily on first-order social norms -- teaching models what is socially acceptable or unacceptable (e.g., "do not steal"). However, social intelligence depends not only on norm recognition, but also on anticipating …
  preprints 2026 置信度 0.86 psychologycs.aics.clcognitive sciencecs.hc
• An Inverter-Agnostic Smart Solar Monitoring and Power Prediction System with Edge-AI and Per-Tenant Adaptive Forecasting
  A substantial share of residential photovoltaic (PV) installations in developing regions use inverters that expose no communication interface, which precludes remote monitoring through conventional inverter-telemetry integration. This paper formulates and part…
  preprints 2026 置信度 0.86 computer and information sciencesartificial intelligencecs.aiphysical sciencesmachine learning
• Using AI to support rapid qualitative data analysis of survey and interview data in public health: a proof-of-concept study
  Background Large language models (LLMs) are increasingly used to support a growing range of analytical and operational tasks in public health, and show promise for assisting qualitative text analysis at scale. While they have demonstrated utility in structured…
  preprints 2026 置信度 0.86 psychologycomputer sciencecs.aimedicinegenerative grammar
• LEN-Seek: Fast and scalable ligand binding-site similarity search in the latent space of an SE(3)-invariant graph VAE
  Motivation Ligand binding-site similarity search is a crucial step in drug discovery that reduces the conformational search space for docking and other downstream tasks by comparing a target protein against experimentally identified binding sites. Existing met…
  preprints 2026 置信度 0.86 cs.lgcs.aicomputer and information sciencesartificial intelligencecomputational biology
• The Unreliable Judges: Assessing Reproducibility and Self-Preference Bias of LLMs as Free-Text Evaluators
  Large Language Models (LLMs) are transforming clinical practice and research, but their adoption requires rigorous evaluation. While human assessment is ideal, its cost has driven the widespread use of LLMs as evaluators. We introduce an open-source reciprocal…
  preprints 2026 置信度 0.86 cs.aics.clcs.lgpsychologygenerative grammar
• Chromap Suite: an open-source single-binary platform for agentic multiomic RNA + ATAC profiling
  Background Single-cell multiomic profiling of RNA expression and chromatin accessibility is now a standard tool for resolving regulatory state in single cells, but existing analysis toolchains have lagged. Cell Ranger ARC, the proprietary multiomic pipeline, u…
  preprints 2026 置信度 0.86 ai governancebiologyai safetyartificial intelligencecomputational biology
• Surgical Weight Injection for Capability-Targeted Editing of Aligned Large Language Models
  Abstract Deploying aligned Large Language Models (LLMs) as engineering components in Artificial Intelligence (AI) systems is bottlenecked by the capability-editing problem: when an application requires a model to express a capability its safety alignment broad…
  preprints 2026 置信度 0.86 cs.aics.lgcs.clartificial intelligencecomputer science
• Assessing AI and Neurologist Diagnostic Reasoning Against Neuropathological Ground Truth
  BACKGROUND Accurate differential diagnosis of complex neurological disorders remains challenging due to overlapping clinical features and heterogeneous disease presentations. Although large language models (LLMs) show promise in clinical reasoning, prior studi…
  preprints 2026 置信度 0.86 medicineartificial intelligencecs.aicomputer and information sciencescomputer science
• When technology meets institutions: digital anti-corruption tools and the puzzle of divergent outcomes
  Abstract Digital anti-corruption tools—spanning big data analytics, AI-driven monitoring, and integrated digital platforms—are rapidly proliferating across the globe. Yet their effectiveness varies dramatically: some systems detect fraud at scale, while others…
  preprints 2026 置信度 0.86 businesssociologyengineeringcomputer scienceprocess management
• Curvature-Information Duality Driven Geometrically Optimal Compression of Deep Models
  Abstract One of the main challenges of edge artificial intelligence is keeping the model accuracy in the face of extreme resources limitations. The current model compression techniques are based primarily on heuristic techniques, which do not have theoretical …
  preprints 2026 置信度 0.86 computer sciencecomputer and information sciencesartificial intelligencecs.lginformation theory
• Machine Psychometrics for Artificial Agents
  Artificial intelligence systems are increasingly evaluated as behavioral agents, yet many evaluation practices still treat model outputs as isolated responses to be scored for accuracy, safety, bias, or preference alignment. We argue that this response-level p…
  preprints 2026 置信度 0.86 cs.aiartificial intelligencecs.lgcomputer sciencepsychology
• Ethical Field Theory: Computational Foundations and Philosophical Extensions
  Abstract Artificial intelligence alignment remains one of the central challenges in the development of increasingly autonomous and distributed intelligent systems. This paper restates and extends Ethical Field Theory (EFT), a mathematical framework introduced …
  preprints 2026 置信度 0.86 artificial intelligenceai safetymulti-agent systemsai governancecomputer science
• Evaluating and Enhancing an AI Mental Health Guide in High-Risk Mental Health Contexts
  Abstract The rapid adoption of large language models (LLMs) for emotional support necessitates specialized safety frameworks to prevent the reinforcement of pathological thinking or crisis escalation. General-purpose LLMs often fail to recognize high-risk mark…
  preprints 2026 置信度 0.86 cs.aiartificial intelligencecomputer sciencelarge language modelscs.cl
• Can AIs Care About Us, and Should We Care About Them?—Alignment and Personhood in an Alien Landscape
  Advances in artificial intelligence have intensified debate about whether machines can be entrusted with ethical decision, possess moral standing as beings, or become conscious. This essay examines these questions through a conceptual analysis of intelligence,…
  preprints 2026 置信度 0.86 psychologycs.aicognitive scienceai governancecs.cy
• Agentic AI for Structural Elucidation and Discovery of Drug Metabolites from Mass Spectrometry Data
  The majority of chemical signals detected in public metabolomics repositories remain structurally undefined. Large language models (LLMs) are probabilistic systems whose capacity to generate outputs beyond their training data, which can cause hallucinations, m…
  preprints 2026 置信度 0.86 cs.aicomputer sciencecs.lgartificial intelligencecs.cl
• The Digital Path Toward Perceived Medication Error Prevention From the Physician Perspective in Private Clinics in Eastern Indonesia: A Mixed Methods Study
  Abstract Background In low-resource settings, primary care is more vulnerable to medication errors because of constrained capacity to support reliable prescribing, monitoring, and follow-up. In eastern Indonesia, limited resources constrain the extent to which…
  preprints 2026 置信度 0.86 psychologymedicinebusinesshealth careknowledge management
• Rethinking the Textbook: A Design-Based Study of AI Powered Dynamic Open Educational Resources
  For over a century, the printed textbook has assumed learner homogeneity, creating persistent inequities for students with diverse reading levels, languages, and cultural backgrounds. Open Educational Resources (OER) offer a free, openly licensed alternative, …
  preprints 2026 置信度 0.86 psychologyartificial intelligencemedicinecs.aicomputer science
• Semantic Alignment Between Normative Theories of Ethics and the European Union Artificial Intelligence Act: A Transformer-Based Semantic Textual Similarity Analysis
  Abstract The European Union Artificial Intelligence (EU AI) Act, which explicitly references fundamental rights and ethical principles, is a comprehensive regulatory framework for governing Artificial Intelligence (AI) systems. This study examines the moral gr…
  preprints 2026 置信度 0.86 corporate governanceknowledge managementtransparencybusinessartificial intelligence
• Algorithmic Gaslighting: Reality Distortion by Large Language Models
  Abstract As large language models (LLMs) mediate increasing volumes of human information access and decision-making, their potential to systematically distort user perception of reality poses risks to individual autonomy, public trust, and epistemic integrity.…
  preprints 2026 置信度 0.86 artificial intelligencecs.aimedicinecomputer and information scienceslarge language models
• Machine learning reduces audit detection risk in 3.3 million public sector general ledger transactions
  Abstract Machine learning models for audit anomaly detection are commonly evaluated using proprietary or synthetic datasets, with limited validation against official audit outcomes. This study proposes a four-layer ML framework designed to reduce audit detecti…
  preprints 2026 置信度 0.86 artificial intelligencemachine learninginterpretabilitycs.lgmulti-agent systems