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Beyond the U.S.–China AI Race: Who Controls the Final Execution When Autonomous AI Operates Critical Infrastructure?, Sangam Kumar Das

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A Response to Diet Caused Obesity, Peter Stevenson

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CUSTOMER SIMULATION AI BOT USING HISTORICAL CASE DATA, Brent Huff, Ben Wollak, and Matt Hauer

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From Frontier AI Models to AI-Native 6G: A Present and Future Product Roadmap for Hardware-Enforced Execution Finality in Critical Infrastructure, Sangam Kumar Das

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AI Safety Fuse - Industrial and infrastructural AI execution-governance protocol for Critical Infrastructures, Sangam Kumar Das

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When AI Controls Critical Infrastructure, Who Verifies the Evidence Before It Acts? From GPT and Claude to Gemini, Qwen, DeepSeek and Mistral, Sangam Kumar Das

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When AI Crosses Borders, Who Authorizes Its Final Output? From GPT and Claude to Gemini, Qwen and Mistral — Cryptographic Proof of Algorithm, Behavior and Jurisdiction, Sangam Kumar Das

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AI Safety Across Borders: Only Approved Algorithms Can Start, and Only Outputs Proven to Reach an Approved Jurisdiction Can Leave — Verified by Certificates, Telecom and Satellite Credentials Instead of IP Address, Sangam Kumar Das

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AI Safety Bound to the Data: Receipt-First Release of AI Results — Relevant to Microsoft, Google, AWS, Apple and NVIDIA, Sangam Kumar Das

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AI Safety at the Point of Action: Allow, Deny or Escalate Before Any AI Output, Payment or Machine Command Takes Effect — Purpose-Bound and Logic-Bound Runtime Authorisation Where No Confidence Score Ever Authorises Action (Relevant to AWS, NVIDIA, Meta, Apple, Google, Microsoft, OpenAI and Anthropic), Sangam Kumar Das

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Closed-Loop In-Situ Dehydration and Electrolyte Regeneration for Hybrid Aqueous-to-Deep Eutectic Solvent for Near Room-Temperature Aluminum Electroplating, Peter James Middleton Mr

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SI Robot Charge™: Governed Battery and Charging Safety for Robots, in which Each Battery Pack Carries an Attested Identity and Health Record, Robots Charge Only at Certified Chargers after a Mutual Check, Charging Is Limited by Measured Battery Health and Place, a Battery Showing Signs of Thermal Runaway Brings the Robot to a Safe Place away from People and Exits, and Fire Services Are Given the Battery's Record at Once, Edward D. H. Wang

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SI Prediction™: Predictability as a Measured and Certified Property of AI Systems and Robots, in which an Independent Predictor Forecasts Each Governed System's Behaviour before It Acts, Forecasts Are Signed and Fixed in a Registry and Scored against What Actually Happened, a Rising Rate of Surprise Steps the System Down Automatically, Declared Precursors of Loss of Control Act as Tripwires, Surprise Attacks Are Rehearsed in Advance, and Every Forecaster Earns a Public Calibration Record, Edward D. H. Wang

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SI Robot at Home™: Governed Behaviour of Robots in Private Homes, in which the Household Declares Zones, Times and People-Classes that Bind the Robot's Movement, Sensing and Recording, Data Stays in the Home unless the Household Consents to Each Purpose, Guests and Children Receive Stricter Defaults, a Visible Privacy State Shows What the Robot Senses, Remote Operators Enter Only by Household Consent, Every Departure from the Household's Settings Is Recorded and Reported, and Several Robots Indoors and Outdoors Are Governed Together through a Home Twin and a Home Coordinator that Can Only Tighten, Edward D. H. Wang

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SI Sunset™: Governed End of Life for AI Systems, Agents and Robots, in which Retirement Is Announced and Rehearsed in Advance, Dependants Are Handed Over before Service Ends, Data Custody Passes to a Named Successor and Is Proven by a Restore, Credentials Are Revoked Everywhere at Once, Recorders and Records Are Retained for a Declared Period, Physical Machines Are Disposed of through Certified Channels, and the Registry Record Is Closed but Never Erased, Edward D. H. Wang

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Treatment For Dry Macular Degeneration, Peter Stevenson

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SI Spend Guard™: Spending Limits for AI Agents Bound to the Agent's Certified Credential, in which Limits Can Be Tightened at Once by Anyone with Standing but Loosened Only with Delayed Two-Party Approval, Payments above a Threshold Require the Accountable Manager's Signed Approval, Every Payment Leaves a Signed Receipt in a Registry, Spending Stops Automatically When the Agent's Credential, Manager Binding or Twin Lapses, and Payees Can Verify an Agent's Limits before Accepting Its Order, Edward D. H. Wang

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Automated Readiness Scoring and Remediation for Enterprise Workflows, Hariprasad Rengarajan, Saagar Prasad, Swetha Viswanathan, Rahul Jindal, Bhasha Agrawal, Sarah Rock, Marie Pabelonio, and Kunal Kaul

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SI Sensory™ and SI Sensor™: Certified Field Sensing for the Governance of AI Systems, Robots and Computing Sites, in which Each Sensor Has an Attested Identity, Signs Every Reading at Source, Carries a Calibration that Expires, Is Cross-Checked against Its Neighbours and Independent Physical Balances, Reports Its Own Tampering and Faults, Publishes at a Resolution that Protects Detail, and Whose Failure Can Only Tighten What It Governs, Edward D. H. Wang

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System and Method for Television Attention Score Calculation, Aravind Reddy Ayuluri and Prameela Kavya Thummuru

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Measuring and repairing the shape change an image edit leaves in a chosen region, using dense optical flow, and aligning a regenerated region with its original before pasting it back, fixed-42 fixed-42

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The Nucleon Matrix, Peter Stevenson

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Crystalline form of N-[5-[[4-[4-[(dimethylamino)methyl]-3-phenyl- 1H-pyrazol-1-yl] pyrimidin-2-yl]amino]-4-methoxy-2-(morpholin-4-yl)phenyl]acrylamide, mesylate, MSN Laboratories Private Limited, R&D Center, Hyderabad, India, Srinivasan Thirumalai Rajan, Sagyam Rajeshwar Reddy, Kommera Rajashekar, Kondeti Raju, Rajavel Bala murugan.

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The Next Frontier in U.S.–China AI Innovation: Can Autonomous Agents Reliably Preserve the Meaning of Every Instruction?, Sangam Kumar Das

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METHOD AND SYSTEM FOR PROVIDING AI-POWERED RUNTIME-AWARE CONTAINER IMAGE OPTIMIZATION USING MULTI-AGENT SELF-HEALING FEEDBACK, Dennis Jacob, Soarbh Soni, Unnikrishnan Gopalakrishnan Nair Geetha Padmam, and Lohithasree Thakkelapati

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Laser Substrate Alignment in Printer, HP INC

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SmallMsg-LMS: Optimised LMS Signatures for Small Message Spaces, HP INC

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The U.S.–China AI Technology War Is No Longer Just About Who Builds the Best Models — It is Who Controls Their Outputs, Chips and Sovereign AI Infrastructure., Sangam Kumar Das

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Europe and the UK Are Rewriting the Rules of Child Online Safety — But Who Controls What a Child Can Actually See?, Sangam Kumar Das

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From China’s 6G Ambitions to Global Critical Infrastructure Security: Why Autonomous Telecom Networks Need Protected Execution-Finality, Cryptographic Trust and Non-Bypassable Hardware Enforcement, Sangam Kumar Das

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NATO's Next National Security Blind Spot: AI Can Expose Sensitive Military Facilities Without Hacking a Single System, Sangam Kumar Das

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The Gravity Cage, Peter Stevenson

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A Public Marketplace for Discovery Among Agents, with Signed and Expiring Listings on a Public Bulletin Board and an Optional Consent-Gated Identity Status Registry Layer Coupled to Listing Validity, Yan Yang

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A Deterministic Harness That Builds Software From a Kanban Board, One Story and One Step at a Time, Jaz Heperi

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Identifying the Singularity Harmonic, Peter Stevenson

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World-Space Crosshair Showing the Movement Directions of the Operator's Input Device in Camera-Based Stage Tracking and Remote Follow Spot Systems, Michel Honold and Paul Hermann

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Risk-Asymmetric Memory Authority and Deterministic Precondition Gating for Autonomous Artificial Intelligence Security Agents, Vinayak Raja, Sunil Agrawal, Nitin Desai, and

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The Global AI Distillation Challenge: How OpenAI, Anthropic, Google, Microsoft, Meta and NVIDIA Could Protect Frontier AI Models Against Industrial-Scale Extraction, Sangam Kumar Das

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Oxygen as a Phase Interface, Peter Stevenson

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Multifunction Final-Cover Identification Label with Protective Overlay Function, Randi Walz, George Faraco, Kevin Kolb, Edmund Chan, and Darren Ngoh

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The Trillion-Dollar AI Extraction Threat: How OpenAI, Claude, Gemini, DeepSeek and Qwen Can Protect Frontier Models Against Unauthorized Distillation, Sangam Kumar Das

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TECHNICAL SPECIFICATION WHITE PAPER: SPEC-401: Dynamic Phase-Space Divergence Pre-Screening and Hardware-Bound Context Isolation: A Deterministic Defense Matrix Against Multi-Agent Sycophantic Swarm Propagation, Christopher L. Eckes

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Path Networks for Remote-Operated Follow Spots, Michel Honold and Paul Hermann

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As the U.S. and China Race for AI Supremacy, a New Question Emerges: Who Will Control What Autonomous AI Agents Can Actually Execute?, Sangam Kumar Das

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Trustworthy AI - When AI Agents Talk, Where Did the Instruction Change—and How Can We Verify It?, Sangam Kumar Das

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Tesla vs. BYD: The Next Autonomous Driving Race May Be Decided by Who Controls the Final Move, Sangam Kumar Das

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SI Officer™ and Robot Officer™: Certified Public-Service Agents for the AI Realm and for Public Places, in which a Certified AI Agent and a Certified Robot Take Reports from Anyone, Patrol Only What Is Openly Visible, Hold Powers that Can Only Tighten and Expire unless a Person Confirms Them, Never Use Force, Refer Matters to Public Authorities Only through a Human Gate and Due Process, Answer to Named Accountable People, Can Always Be Stopped, Prove Their Own Authenticity to Anyone, Are Rehearsed on Certified Twins, Work as a Pair under a Coordination Layer that Can Only Tighten, and Publish What They Do, Edward D. H. Wang

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SI Investigation Board™: Independent, No-Blame Investigation of Incidents Involving AI Systems and Robots, in which Recorders Are Sealed at the Event, Credentialed Investigators Are Drawn by Lot Free of Conflict, Causes Are Established by Replay on the Twin in Force at the Time, Findings Are Kept Separate from Blame and Liability, and Every Safety Recommendation Is Published and Tracked to Closure in the Registry, Edward D. H. Wang

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SI Cover™: Insurance of AI Systems and Robots Tied to Their Live Certification Status, in which Cover and Premium Follow Signed Registry Status in Real Time, Cover Narrows Automatically When a Twin Lapses, an Accountable Manager Is Missing or an Audit Turns Adverse, Claims Are Settled on Sealed Records, and Insurers Share Loss Findings Back into Certification, Edward D. H. Wang

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SI Data Park™: A Modular Data Park Built on a Data-Custody Backbone, in which Modules Are Added Only When Contracted, Each Module Carries Its Own Site-Twin Forecast and Community Commitment before It Is Built, Compute and Storage Modules Connect through Standard Interfaces so that New Hardware Generations Replace Old Ones without Moving the Data's Custody, Every Refresh Is Proven by a Restore Drill, and Retired Modules Leave No Stranded Data or Unrecorded Equipment, Edward D. H. Wang

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Whoever Wins the Privacy and Accountability Challenge Wins the Future of Digital Money: From the Digital Euro and China’s e-CNY to Cryptocurrencies and Dollar Stablecoins, Sangam Kumar Das

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China’s 6G Satellite Expansion Raises the Stakes for Starlink and Amazon Leo: Who Verifies the Final Orbital Action?, Sangam Kumar Das

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Omission of SCell TCI state in the LTM cell-switch command via a shared simultaneous TCI update list with the target SpCell, Anonymous

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Service-aware / service-triggered cell reselection priority with MO trigger and paging-indicated preferred layer for MT, Anonymous

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Attempt-counter-based fallback from CB-PUSCH BSR to SR or random access, Anonymous

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Threshold-triggered update or cancellation of previously reported burst information with an update/cancel flag, Anonymous

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As China Develops AI-Native 6G, Who Authorizes Real-World Network Actions?, Sangam Kumar Das

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Enterprise AI Safety - When AI Takes Control of Critical Infrastructure, Who Verifies the Real-World Consequences?, Sangam Kumar Das

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SI Supply Chain™: Certified Provenance for AI Systems and Robots from Component to Site, in which Every Tier of the Chain Is Certified by Accredited Bodies under One Set of Rules, Each Item Carries a Signed Provenance Chain Bound to Attested Identity, a Robot or Site Is Admitted Only When Every Link Verifies, a Defect or Fraud Found at Any Tier Propagates to Every Affected Machine in the Field, Custody Breaks Are Themselves Findings, and Anyone Can Look Up a Supplier's Live Status, Edward D. H. Wang

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SI Auditor™: Independent Audit of Certified AI Systems and Robots, in which Auditors Hold Expiring Credentials from Accredited Bodies, Independence Is Checked by the Registry before Every Assignment, Auditors Are Assigned by Verifiable Draw and Rotated, Evidence Is Taken Only from Signed Records and Witnessed Drills, Opinions Are Graded and Published on the System's Live Status, Audits Are Themselves Re-Performed by Sample, and No Auditor Can Loosen Any Limit, Edward D. H. Wang

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SI Manager™: A Credentialed, Accountable Person Bound to Each Certified AI System or Robot through a Public Registry, in which the System Checks for a Current Manager at Start and While Running and Steps Down to a Declared Unmanaged Profile When None Is Present, Reachability Is Proven by Signed Acknowledgements within a Response Time Set by Risk, Competence Credentials Expire, Each Manager's Span of Control Is Capped by Risk Weight, Responsibility Passes Only by Acknowledged Handover, and the Manager Can Always Stop or Tighten but Never Loosen Alone, Edward D. H. Wang

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SI Twin™: A Family of Certified Digital Twins under Shared Rules, in which Each Twin's Accuracy Is Measured Continuously Against Signed Field Readings and Expires, a Stale or Inaccurate Twin Narrows What Its Subject May Do, Every Change Is Rehearsed on the Twin with Its Predicted Effects Recorded Before the Change Is Made, Predictions Are Reconciled in Public Against Measured Results, a Site Twin Shows a Community the Forecast Power, Water and Heat of a Computing Park Before It Consents, the Forecast Then Becoming a Tracked Commitment, a Data-Custody Twin Forecasts Every Restore Before It Is Drilled, and a Coordination Layer Plans Only on Current Twins, Edward D. H. Wang

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SI Robot Protocol™: A Safety-First Message Protocol for Robots of Different Makers and Owners, in which Safety Messages Always Outrank Operations, Messages from Others Can Only Tighten a Robot's Limits, Every Robot's Stop Works Without the Network, Limits Bind Only When Anchored in a Public Registry, Control Changes Hands Only by Acknowledged Handover, Shared Sites Are Coordinated Without Any Maker Controlling Another's Robots, and People Nearby Are Told in Plain Signals What a Robot Will Do Next, Edward D. H. Wang

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SI Robot Ensemble™: Governed Sites Shared by Robots of Different Makers and Owners, in which a Site Twin Is Composed from Each Robot's Certified Twin and Is Only as Faithful as Its Weakest Member, Robots Pass a Mutual Know-Your-Robot Check before Sharing a Zone, a Coordination Layer May Tighten but Never Loosen Any Robot's Own Limits and Is Never in the Stop Path, Joint Actions Are Rehearsed and Given a Joint Safe Stop, Responsibility for Each Part of a Joint Action Is Recorded, Proving Covers the Mix of Neighbours, and Recorders Are Sealed Together at a Site-Wide Event, Edward D. H. Wang

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SI KYR™ (Know Your Robot): Graded Due Diligence on Governed Robots at Every Point of Contact, in which the Physical Machine Is Matched to Its Record, the Party Answering for It Now Is Named, What It May Do at This Place Is Shown, and Its History Follows It through Every Change of Hands, with Depth of Disclosure Set by Who Is Asking, Live Revocation, Robot-to-Robot Checks, and No Entry without a Passing Check, Edward D. H. Wang

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SI Robot in Public™: Governed Behaviour of Robots in Places Shared with the Public, with Common Signals of Intent across All Makers, Priority for People in Every Encounter, Tighter Limits near Children and People Using Mobility Aids Recognised by Class and Never by Identity, Paths for Emergencies and Access Kept Clear, a Stop that Anyone Nearby Can Use, Local Rules Set for Each Place and Time, and Public Concerns Fed into the Robot's Standing, Edward D. H. Wang

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SI Robot Skill Lineage™: A Lineage Record for Every Skill a Governed Robot Can Load, Tracing Each Version to Its Parents, Training Sources, Maker and Tests, in which a Robot Loads Only Skills Whose Lineage Verifies and Whose Certification Covers Its Model and Place, Derived Skills Inherit the Restrictions of Their Parents, a Defect Found in Any Skill Revokes or Restricts Its Descendants on Every Robot in the Field, and Each Skill Version's Field Record Is Pooled across Robots, Edward D. H. Wang

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SI Robot Handover™: Governed Transfer of Control of a Robot between Its Own Autonomy, a Remote Operator, a Person on Site and Another Robot, in which Control Passes Only by a Signed Token to a Receiver Checked as Qualified for This Robot and Place, the Stricter Limits of Both Apply during the Transfer, an Unaccepted Handover Ends in a Safe Stop Rather Than Continued Operation, Remote Control Is Bounded by Measured Link Quality and the Robot's Own Limits, Operator Workload Is Capped, and Who Answers for the Robot Is Updated at Once, Edward D. H. Wang

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Multi-Tier Model Architecture for Dynamic Request Routing in Conversational AI, Zebedee Pedersen, Beverly Yip, Jordan Griffith, and Hana Tanimura

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Point-and-Describe Spatial Multimodal Image Editing and Generation, Michael Lane

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Nuclear Nervous System (NNS-1.0) A Non-Safety-Related Operator Support and Situational Awareness Research Platform for Distributed Asset Health Monitoring and Confidence-Weighted Sensor Fusion No Control, Actuation, or Autonomous Decision Authority, Michael Victor Caldwell Mr.

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APPLICATION AND AGENT-AWARE SECURITY GROUP TAG / TWO-STAGE SECURITY GROUP ACCESS CONTROL LIST ENFORCEMENT, Prachi Agrawal, Sujith Viswanath, Shawn Wargo, Rajagopal Venkatraman, and Stanley Phung

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Flue Gas Emission Purification System - Open Industrial Flue-Gas Purification System, Federico G. Seregni

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Brand-Signal Attribution: Calibrating Marketing Measurement from a Governed Operating Record, Abhishek Mishra

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AI Agents Should Not Expose Your Identity: Hardware-Bound Virtual Identities and Cryptographic Consent, Jurisdiction, and Session Enforcement for Calls, Messages, Payments, and Commercial AI, Sangam Kumar Das

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AI Safety and Data Residency: Enclave-Verified Purpose and Consent Tokens That Block Non-Compliant Traffic Before the First Packet, Sangam Kumar Das

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Technical Disclosure: SISO Data Pipeline 15.0.0, Jonathan Bailey

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Technical Disclosure: A Relational Database Built from Pure Gates, Order-Free Residue Forms at Its Boundary, and Integrity Checked on the Net Change, Jonathan Bailey

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Publication Open Technical Disclosure: Compiler-Verified Pure-Gate Event Programs, Their Generated Hardware Boundary, and Partitioned Bare-Metal Execution, Jonathan Bailey

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Completion Fencing and Verifiable Evidence Emission for Externally Managed Single-Use Capabilities, Matthew T. Kirby

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AAI Safety for AI Agents That Call and Message: Query-Scoped, Non-Bearer Communication Handles That Stop Spam, Robocalls and Post-Inquiry Harassment in Map Search, Marketplaces, CPaaS and AI-Native 5G/6G Networks — Technical Relevance to Verizon, AT&T, Vodafone, Orange, Jio, Airtel, Nokia, Ericsson, Huawei, NVIDIA, Qualcomm, Twilio and Booking.com, Sangam Kumar Das

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AI Safety by Two Independent Checks: Preventing AI Agent Tool Misuse, Memory Poisoning and Unauthorized Delegation with Cross-Committed Authorization and Endpoint-Side Reconstruction of the Actual Action — Technical Relevance to Claude, ChatGPT, Gemini, Copilot and MCP Ecosystems, Sangam Kumar Das

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Zero-Knowledge-Verified Provenance, Ownership and Access Control for Digital Twins Bound to Non-Fungible Tokens, Seyed Mojtaba Hosseini Bamakan

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When AI Agents Change Instructions: Causal Detection of Semantic Drift and Communication-Hop Failures Using Counterfactual Witnesses and Protocol-Independent Diagnostics, Sangam Kumar Das

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AI Safety for Neural and FrontierAI — Sovereign Execution Control for Critical Infrastructure - Technical Relevance with Anthropic , Open AI Frontier AI Models, Sangam Kumar Das

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AI Safety for Agentic AI Tool Use: Preventing Prompt-Injected Tool Calls and Data Purpose Laundering with Hardware-Verified, Per-Action Execution Control for MCP, Computer-Use, Coding Agents, Memory Writes and Cloud-Assisted AI — Technical Relevance to Claude, ChatGPT, Gemini, Copilot, Apple Intelligence and Meta AI, Sangam Kumar Das

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AI Safety for On-Device AI Agents: Privacy-Preserving Assistant Interoperability with Per-Action, Hardware-Verified Authorization for Messages, Payments, File Exports and Sensor Data — Technical Relevance to Apple Siri, Google Gemini, Microsoft Copilot, Samsung Galaxy AI and Meta AI, Sangam Kumar Das

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AI Safety for AI Agents: Hallucination-Proof, Non-Completable Execution Control for Tool Calls, Payments and Real-World Actions — Technical Relevance to Anthropic Claude, OpenAI ChatGPT, Google Gemini, Microsoft Copilot and Amazon Bedrock Agents, Sangam Kumar Das

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Cross-Platform Agent Mailboxes and Scheduled MCP Meeting Sessions, Joe Boll

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Decoy API Responses: Counterattacks, Poisoned Outputs, and Malicious Honeypots, with Safeguards for Good-Faith Users, Joe Boll

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Basin Water Record: A Shared, Signed Record per Water Basin in which Large Users' Certified Meter Readings Are Cross-Referenced with the Utility's Declared Supply and a Published Order of Curtailment, a Declared Shortage Automatically Tightens Each Committed User's Limit Without Waiting for an Order, Actual Cuts Are Logged and Checked Against the Published Order so that Any Inversion of Priority Is Visible, and Desalinated Supply Is Recorded with Its Energy and Brine and Never Counted as an Offset, Edward D. H. Wang

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Low-Bandwidth Semantic Video Transfer with Local Generative Reconstruction, Joe Boll

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The Paradox of the Mass Deficit in Nuclear Fusion, Peter Stevenson

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The Abyssal Bioluminescence Coherence Paradox, Peter Stevenson

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Technical Whitepaper - Secure and Decentralized Retrofit for Industrial IoT Devices, Tiziano Ciccone

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The Quantized Cost of Macroscopic Electromagnetic Expression, Peter Stevenson

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A Glass Alternative for Earthquake Zones, Peter Stevenson

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Distributed Cold-Climate Micro-Generation Node: A Self-Sustaining Wind-Solar-Battery Unit for Community Resilience Open Research Document — No Patent, No Restriction, Free to Build, Michael Victor Caldwell Mr.

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FairSI™: A Students' Realm for Governed AI, in which Verified Students Build, Test and Prove AI Systems in an Isolated Playfield Governed Exactly Like Certified Systems but Fed Only Synthetic and Open Data; Hold Their Own Work Under Their Own Keys; Receive Free Service Whose "Not the Product" Promises Are Enforced and Attested Rather than Merely Stated; Turn Their Own Fairness Tests into Candidate Certification Test Cases Through a Recorded, Attributed Pipeline; and Govern the Realm Through an Elected Student Council Whose Decisions Are Recorded, Edward D. H. Wang

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SI Verified Sources™: Certified AI Agents that Check Signed Source Facts Before Stating Them, Give Every Answer a Signed Receipt of Its Sources, Carry Corrections Back to the People Who Received Wrong Answers, Disclose the Basis of Every Recommendation with an Accredited Audit Against an Independent Baseline, Act with a Recorded Duty of Loyalty When Dealing with Sellers' Agents, and Read Websites Under Declared, Recorded Terms, Edward D. H. Wang