Digital Commons Network^™

Sequential Consensus Building For Multi-Agent Debates, Andrea Morandi

Defensive Publications Series

Conventional approaches to consensus building in multi-agent systems typically rely on fixed numbers of debate rounds or predetermined thresholds, which can be inefficient and inflexible. Moreover, these conventional approaches often fail to account for the dynamic nature of debates and waste computational resources by continuing debates that have already reached sufficient consensus or by prematurely terminating debates. To address these challenges, the techniques presented herein leverage sequential analysis to efficiently and dynamically determine consensus in multi-agent systems.

Energy Harvesting In High-Speed Interconnects, Joel Richard Goergen, Shadi Ebrahimi Asl

Defensive Publications Series

This submission proposes techniques to harvest energy in high-speed interconnects. To facilitate such energy harvesting, a via-trace-via loop can be placed in close vicinity of high-speed vias at the edge of a ball grid array (BGA) field of a printed circuit board (PCB) or close to an isolated differential pair via (e.g., transition vias) to harvest the energy in the rapidly changing electromagnetic (EM) fields using principles of Faraday's law. The harvested energy can be cascaded and boosted and can later be referenced to a pulse-width modulation (PWM) signal to create a power rail at the PCB level.

Executive Synthesis Of Luxury Ai 2025, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: art. L 611-11 CPI (French Intellectual Property Code), art. 54(2) CBE (European Patent Convention), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). This defensive publication discloses seventy (70) enabling inventions across luxury AI systems, including hyperspectral grading, polarimetric textile inspection, watermarked CAD assets, PUF-based leather authentication, federated …

Unified Framework To Boost Roi In Product Engineering Services (Pes), Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: art. L 611-11 CPI (French Intellectual Property Code), art. 54(2) CBE (European Patent Convention), and 35 U.S.C. §102(a) (United States Patent Act). It discloses 140 enabling innovations covering devices, methods, causal experimentation OS, ROI ledgers, digital twins, connectors, calibration-as-a-service, compliance automation, ESG/supply-chain coupling, and biomedical/medtech transpositions. Every proposal is described in an enabling manner, classified with IPC and CPC …

Automated Video Production Workflow Using Textual Source Documents, Kumar Dhanagopal

Defensive Publications Series

This disclosure describes a multi-stage workflow to facilitate automated video production from textual source documents. A system may process source documents to generate a narrative audio track. This audio can then be analyzed by a computing system to produce a corresponding visual storyboard, for example, by identifying concepts and scenes. Based on information from this storyboard, generative tools may be used to create multimedia assets, such as graphics and video clips. The generated audio and visual components may then be assembled into a video. This integrated method provides a process for converting text to video that can potentially reduce manual …

3d Vlasov-Boltzmann Solver Via Deep Learning For Coupled Plasmas, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 license. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). This work discloses one hundred technical proposals around a 3D Vlasov-Boltzmann deep learning solver for weakly and strongly coupled plasmas. Each proposal is described in …

Neurolink-X: Restoring Brain–Body Communication Via An Implantable Neural Interface, George Karelias, George Karelias

Defensive Publications Series

Spinal cord injuries, stroke, and neurodegenerative diseases can disrupt motor pathways, causing severe loss of mobility and independence. NeuroLink-X proposes an implantable brain–body neural interface that restores connectivity by decoding cortical activity, bypassing damaged pathways, and delivering stimulation to muscles or spinal neurons. Unlike external prosthetics, NeuroLink-X is designed as a fully implantable, adaptive, closed-loop system that leverages AI-driven decoders and functional electrical stimulation to re-establish voluntary motor control. This article outlines the system’s architecture, methodology, and potential applications, supported by current advances in brain–computer interfaces and neuroprosthetics.

Computer Control By Agentic Systems With World Models Of User Interfaces, Florian Hartmann, Victor Carbune

Defensive Publications Series

Computer control functionality refers to the capabilities of artificial intelligence (AI) agents that enable the agent to use a computer as a human does, e.g., by interacting with user interfaces via operations of input devices. For accurate task completion, it is important for the AI agent to reason about the task currently being performed and to determine what effects the actions it performs may have on the environment. This disclosure describes techniques that enable an AI agent to learn to estimate the reversibility of an action in a user interface (UI) and to use the reversibility estimate to adapt the …

Automatic Integration Of Temporal Context For Large Language Models, Na

Defensive Publications Series

Current LLMs struggle with real-time knowledge, tracking elapsed time, chronological context, and generating time-sensitive responses, leading to user burden and limited applicability in time-sensitive domains. This disclosures describes techniques for integrating real-time temporal context into large language model (LLM) processing of user queries, addressing their inherent lack of temporal awareness. The techniques described herein automatically obtain current time from a reliable time source as well as relevant temporal context such as conversation history between an LLM-powered chatbot and a user that provides a query. The time information together with the user query is provided to the LLM which can thereby …

The Composite Virtual Content Viewing Projection System That Contains A Sleeker Composite Projection Boarder., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a composite virtual content viewing projection system that contains a sleeker composite projection boarder. The entire composite virtual content viewing projection system will consist of 4 cyclically configured identical projection systems. Each projection system will contain 16 projection configurations categorized under 4 projection categories, 16 small beam splitters, a projection obstructing cross like black colored structure, a convex lens stack section, a concave mirror section, a large beam splitter and 16 associated observable image projection sections. The entire composite virtual content viewing projection system, by utilizing the containing 4 identical projection systems, will have the capability to …

Target Markets 2024–2030 For Ai Products, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: (art. L 611-11 CPI / art. 54(2) CBE), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). It consolidates 80 reproducible technical contributions across software, sensors, hardware, AI, protocols, materials, manufacturing, imaging, delivery, therapies, data/privacy, UX/workflows, supply chain and business processes. Each item is described in an enabling …

Process For 3-[3-(3,5-Dimethyl-1h-Pyrazol-4-Yl)Propoxy]-4-Fluorobenzoic Acid

Defensive Publications Series

Acoramidis hydrochloride, chemically known as 3-[3-(3,5-dimethyl-1H-pyrazol-4-yl)propoxy]-4-fluorobenzoic acid hydrochloride, which is a promising candidate to treat TTR amyloid related diseases such as TTR amyloid cardiomyopathy.

Large Language Model Embedding Graph For Content Recommendation And Discovery, Tamojit Chatterjee, Shravan Nayak

Defensive Publications Series

Existing content recommendation algorithms often do not effectively use structured information to make more informed decisions. This can limit the ability to discover similar content or to introduce sufficient diversity into recommendations. In addition, or in the alternative, current techniques for enhancing content recommendations may lack personalization, diversity, and transparency. These existing techniques may also present static sets of content items (e.g., content clusters) that may not adapt to real-time events. Also, content cluster labels may not clearly describe the underlying theme of the content items in the content cluster.

This disclosure describes technology for generating content recommendations using a …

Task Bundles For Context Persistence In Asynchronous Multi-Agent Collaboration, Victor Cărbune

Defensive Publications Series

In certain multi-agent systems, a loss of reasoning context may occur when tasks are passed between agents, potentially making it difficult for subsequent agents to inquire about or build upon prior work. The described method introduces a task bundle that can be used to serialize a task's state and encode intermediate solutions with unique tags corresponding to a thought process and an originating agent. Sourcing agents may maintain a more detailed local memory of their reasoning linked by these tags, which can form an asynchronous communication mechanism. Using this mechanism, a receiving agent can use a tag to query the …

Parametric Head-Related Transfer Function Using Structural Components And Spherical Harmonics, Nikhil Bhanu, Mengfan Zhang

Defensive Publications Series

The head-related transfer function (HRTF) describes the acoustic transmission of sound waves from a sound source to a listener’s binaural ears. When applied to headphones, VR headsets, and similar devices, the use of non-personalized HRTFs may lead to perception errors such as inside-the-head localization, front-back confusion, and/or a breakdown of elevation discrimination ability. This disclosure describes techniques to personalize HRTFs for spatial audio products. A compact, spatial-domain HRTF representation is constructed that achieves a realistic spatial listening experience by structurally modeling person-specific acoustic components such as head shadowing, torso reflection, and pinna (outer ear) filtering. The HRTF is decomposed into …

Context-Aware Authentication Using A Proximate Wearable Device As A Source Of Trust, Salil Rajadhyaksha, Irene Ang, Igor Zaslavsky, Arthur Tiv

Defensive Publications Series

This disclosure describes the use of a proximate, unlocked wearable device as a dynamic mobile trusted location to enhance security and ease of use for a primary device such as a smartphone or tablet. The described techniques leverage secure short-range wireless communication between a paired, secure wearable device and the primary device. When user authentication is triggered on the primary device, it initiates a ranging session with the wearable device. If the wearable device is within range and securely unlocked, it acts as a trust signal, allowing the user to use a non-biometric factor such as a pin or passcode …

Ai-Driven Special Effects Generation And Application Framework For Visual Content, Colvin Pitts

Defensive Publications Series

A user’s creative intent for image or video editing expressed in natural language, e.g., ‘make the greenery look really vibrant,’ cannot currently be directly translated into the series of discrete, technical operations required by editing libraries. This situation exists because software libraries and application programming interfaces (APIs) are not optimized for an environment where artificial intelligence (in turn tasked by end-users) is the primary customer. This disclosure describes techniques of application programming interface (API) and software library design that can bridge the gap between the abstract requests of AI and the rigid, explicit nature of libraries, making software development more …

Providing Spoiler-Free Entity Information For Narrative Media Based On Viewing Progress, Alejandra Molina, Vivian Tsai, Ellen Jiang

Defensive Publications Series

When reading or viewing long-form narrative media such as books, audio content, or television shows, or engaging in games with long gameplay durations, users may sometimes forget a particular detail about a character or entity in the content. While online resources as well as built-in features in the viewing application can help aid user recall, such resources are static and do not account for the user’s current progress, thus risking spoilers. This disclosure describes techniques that enable users to obtain entity information for narrative media in a spoiler-free manner. Per the techniques, a structured database of various entities in narrative …

Secure Enclave-Based Techniques To Render Stolen Devices Unusable, Max Bires, Siddarth Pandit

Defensive Publications Series

Many smartphones and other devices implement a secure hardware enclave for device security. The secure enclave can provide a high-level of security. However, when a device is stolen and jailbroken to install a new operating system, the secure enclave has no ability to detect that the device is in a stolen state, and cannot limit device use. This disclosure describes techniques to secure devices against post-theft usage such that even attackers that attempt a jailbreak or bypass bootloader integrity checks are unable to configure such a device for use. Per the techniques, periodic secure communication between the secure enclave and …

Wifi-Based Emergency Communication Support, Chinmay Dhodapkar, Kaushik Ghosh, Sharath Ananth, Shailesh Maheshwari

Defensive Publications Series

While satellite communication enables smartphone users to reach emergency services even from areas without cellular connectivity, such options can fail when satellites are not visible (e.g., underground usage). Additionally, devices that have WiFi connectivity, but no cellular modems are unable to use satellite communication for emergency purposes. This disclosure describes techniques that enable emergency communications for users that have WiFi connectivity, but no access to cellular or satellite communication via their smartphone or any other device. The techniques leverage existing infrastructure supported by the device manufacturer (and/or other providers) to enable users to reach emergency service providers over satellite networks. …

Automatic Generation Of A Labeled Corpus Of Conversational Failures During Interaction Between A User And A Conversational Ai Agent, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

Current techniques to detect conversational failures during interaction between users and conversational artificial intelligence (AI) have many limitations - they capture only a tiny fraction of failures, lack context about the user's internal state during the conversation, and are not scalable. This disclosure describes techniques to automatically detect, classify, and log conversational failures in interactions between users and conversational AI agents to generate a rich, structured dataset. With user permission, conversations are analyzed to detect prosodic features and acoustic cues within context to determine likely occurrences of conversational failures. The conversational state is tracked using a state vector that encodes …

A Method And A System For Predicting E-Commerce Consumer Return Risks And Behavior Analysis, Ishika Ahuja, Hema Lakshmi K M, Kireeti Kesavamurthy, Bhuvanjeet Singh Gandhi

Defensive Publications Series

The present disclosure relates to a system and method for managing e-commerce return and refund risks by utilizing a comprehensive data aggregation module that collects information metrics from multiple e-commerce platforms using a unique identifier. The user's purchase profile is generated through a user profiling component leveraging Visa ID to link all active identification identifiers. A risk assessment engine computes various risk indicators based on historical purchasing behaviors, including sales-to-refund ratios and fraud signals. Furthermore, the system includes a dashboard interface that presents comparative metrics, allowing merchants to analyze consumer behavior against a broader consumer base. This structured approach facilitates …

An Improved Process For The Preparation Of Resmetirom (Mgl-3196), Anonymous

Defensive Publications Series

An improved process for the preparation of Resmetirom (MGL-3196) of Formula I.

Method And System For Cognitive Optimization Of Distributed Engines Framework, Swagat Kumar, Amitabh Ranjan, Soumendra Kumar Mishra

Defensive Publications Series

Present disclosure provides a method and system for cognitive optimization of distributed engines framework. The present disclosure discloses a telemetry-driven optimization system designed to elevate the performance and efficiency of distributed data pipelines operating on Hadoop YARN. The system harnesses the analytical power of Large Language Models (LLMs) and a standardized Model Context Protocol (MCP). Further, the system identifies and remediates inefficiencies in application code, resource allocation, and cluster configurations. The system seamlessly integrates with developer workflows, enabling automated diagnostics and corrective actions while embedding feedback loops for continuous learning and improvement. Thus, present disclosure discloses the architecture and implementation …

Multi Agent Reinforcement Learning Using Swarm Intelligence To Implement Network Policy Translation, Priyanka Bansal, Pattamsetti Anurag, Anirudh Kashyap, Meghana Vakkalanka

Defensive Publications Series

Techniques herein provide a verifiable, automated solution for translating network policies across diverse vendor environments. The techniques utilize a novel Semantic-Behavioral Policy Equivalence (SBPE) Framework to mathematically guarantee identical policy behavior, complemented by reinforcement learning to facilitate intelligent, adaptive, and efficient operational execution. This significantly reduces complexity and risk in multi-vendor network management environments.

Explainable Large Language Model (Llm) Multi-Agent System Analyzer With Interactive Bayesian Reasoning Interface, Andrea Morandi

Defensive Publications Series

Conventional large language model (LLM)-based multi-agent systems suffer from a critical lack of transparency and explainability, making it difficult for users to understand why agents make specific decisions or how they interact with each other. To address these challenges, the techniques presented herein provide an Explainable LLM Multi-Agent System Analyzer that uses Bayesian networks to model agent interactions and provide an Interactive Explanation Interface with “Why” and “What If” capabilities. This system allows users to probe the multi-agent system’s decisions through natural language queries, generating explanations and simulations that reveal the underlying reasoning processes and causal relationships between agents.

Device Registration Key Retrieval

Defensive Publications Series

The present disclosure generally relates to device manufacturing, and more particularly to security keys for device registration.

Amorphous Form Of Elamipretide, Prashanth Venukathala

Defensive Publications Series

This invention relates to a new solid state of Elamipretide, specifically an amorphous form, and its pharmaceutical applications.

Process For The Preparation Of Sparsentan, Prashanth Venukathala

Defensive Publications Series

The present invention relates to a novel process for the preparation of 2-[4-[(2-butyl- 4-oxo- l,3-diazaspiro[4.4]non-l-en-3-yl)methyl]-2-(ethoxymethyl)phenyl]-N-(4,5-dimethyl- l,2-oxazol-3-yl)benzenesulfonamide (Sparsentan) compound of formula 1 and its intermediates thereof.

Bridwell Systems Mandate" Card, Fulton D. Bridwell

Defensive Publications Series

Abstract for TDCommons Submission:

The Bridwell Systems Mandate is an operational and ethical governance framework intended for artificial intelligence systems. This directive card establishes core principles and actionable auditing criteria to align AI outputs with agency protection, safety, auditability, and responsible restraint in optimization. It provides a formalized doctrine of refusal for misaligned or unverifiable outputs, prioritizes memory-aware interaction, and mandates formula citation and structured reasoning. The Mandate is designed for broad interoperability with advanced AI platforms, supporting exclusive company licensing and strict intellectual property protection. By publishing this card, the creator asserts prior art over its specified operational, ethical, …