Digital Commons Network^™

Rubric-Based Evaluation For On-Brand Generative Media, Mohab Fekry, Cornelius Koch, Luka Stellwag

Defensive Publications Series

This publication describes a novel system and method for evaluating artificial intelligence (AI)-generated media, focusing on prompt adherence, technical quality, and brand alignment. The framework addresses challenges in current evaluation methods by employing dynamic, multi-component rubric generation and a multimodal, rubric-based evaluation and scoring process. This approach provides a scalable, reliable, and interpretable solution for comprehensively assessing generative media.

The Eye Clearly Visible Virtual Content Viewing Composite System That Utilizes An Angularly Projected Composite Projection Observing Space., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes an eye clearly visible virtual content viewing composite system that utilizes an angularly projected composite projection observing space. The entire virtual content viewing composite system will consist of a right projection system and a left projection system that are identical to each other. Each projection system will contain 2 identical angularly oriented projection configurations and a light ray projection nullifying black colored section. The virtual content viewing composite system, by utilizing the containing angularly oriented 4 projection configurations, will have the capability to collectively and concurrently project 4 angular projections onto the field of view of the …

A Process For The Preparation Of Polypeptide, Anonymous

Defensive Publications Series

An improved process for the preparation of polypeptide via novel reagents and conditions

Opex-Aware Relaying, Joachim W. Walewski

Defensive Publications Series

This technical disclosure proposes an OPEX proxy that routes client requests to cloud application instances based on the operating expenses (OPEX) of potential host data centers. Unlike traditional routing methods, which are focused on load or network health, this proxy selects data centers with the lowest current or expected OPEX, reducing energy costs without requiring ownership of the power source. The approach supports integration with existing routing mechanisms and can be extended with environmental impact metrics.

Generating A Personalized Artificial Intelligence Assistant For Domain-Specific Professional Work, Jan - Marten Ahrend

Defensive Publications Series

Professionals in specialized fields rely on their deep, domain-specific understanding that includes documented and undocumented knowledge such as project history, team dynamics, product goals, established communication styles, etc. Artificial intelligence (AI) assistants that support professionals may not capture the deep context specific to the domain, brand, and/or organization of the professional. This disclosure describes techniques for generating a personalized artificial intelligence (AI) assistant that is deeply contextualized to a specific professional’s unique work environment. Designed for domain-specific research and professional work, the AI assistant deploys a structured framework that enables the professional user to integrate their unique context and professional …

Ai-Driven Autonomous Content Generation For Trending Topics, Steven Dropsho, Dhruv Bakshi

Defensive Publications Series

Generative artificial intelligence models are capable of generating content in different modalities such as text, image, audio, video, and combinations. While user-driven content generation, where a user enters a prompt about a topic of interest and receives AI-generated content in response, is popular, this requires users to identify topics and seek content. This disclosure describes techniques for autonomously generating high-engagement content in various modalities. A continuous loop of input (identifying topics of interest), output (content generation based on the topics of interest), and metrics (engagement with the generated content) is used to generate new content that provides users engaging online …

Real-Time Deepfake Detection During Video Conferences: Harnessing Bidirectional Audio-Video Features From Reflections And Echoes, Mahesh Godavarti, Ali Mouline, Kamil Wojcicki, Radhakrishna Achanta, Raul Casas

Defensive Publications Series

Liveliness detection is increasingly important in video conferencing due to the advent of deepfakes and their use in conducting online fraud. Currently, liveliness detection technologies lag behind deepfake creation technologies. This submission proposes the use of the bidirectional nature of video conferencing to counter deepfakes more reliably and more efficiently than the state-of-the-art.

Techniques To Facilitate Intention-Based Primary Meeting Device Promotion, Talisman Wang, Yasi Xi, Evelyn Yao, King Jin

Defensive Publications Series

Proposed herein are innovative techniques that enable a user in an online meeting to naturally, conveniently, and intuitively promote a local laptop to become the primary meeting device in a meeting room. Participants in the same meeting room are grouped together and represented as a single group in the video feed of the online meeting. This approach ensures that participants in the conference room are no longer perceived by remote participants as isolated, individual attendees. Instead, they appear as a group attending from the same physical space, thereby creating a more natural online meeting experience.

Tree-Based Connection Assistant, Juan Carlos Zuniga, Bart Brinckman, Matthew S Macpherson

Defensive Publications Series

A tree-based connection manager is proposed herein that allows coordination between different and potentially conflicting profiles, based on a user's context and preferences, various key performance indicators (KPIs), one or more policies, and an associated decision algorithm.

Pet-Aware Navigation Using Aggregated And Verified Point-Of-Interest Data, Kshitij Suresh Gaikar, Pushkar Mittal

Defensive Publications Series

Digital mapping applications may lack integrated data on pet policies for points of interest (POIs), which can lead users to consult fragmented and potentially inaccurate external sources when planning travel with pets. A system and method are described for integrating pet-compatibility data into a navigation application. The system can utilize a multi-source data engine to aggregate and harmonize information from sources such as crowdsourced user reports, third-party data providers, and artificial intelligence analysis of public web data. A harmonization framework may use confidence scoring and a rules engine to resolve data conflicts and verify the pet policies of POIs, such …

Network Of Ai-Agents For Multi-Step Iterative Debugging, Akshay Jajoo, Timo Koehler, Josh Halley, Ramana Kompella, Myungjin Lee

Defensive Publications Series

Proposed herein is a system to facilitate fault detection and root cause analysis (RCA) in distributed systems using a network of artificial intelligence (AI) agents that can work together to perform distributed debugging. The proposed system employs a hybrid architecture of centralized and localized AI agents, each co-located with network devices, enabling near-real-time, context-aware analysis of logs, traces, ring-buffers and other telemetry at the point of generation.

Thematic Consolidation Of Multi-Turn Conversational Inputs Into A Single-Turn Prompt, Colby Hawker, Jennifer Otitigbe

Defensive Publications Series

In generative artificial intelligence application development, manually consolidating iterative, multi-turn conversational interactions into a single, static prompt for production use can be a time-consuming and error-prone process. Systems and methods are described that may automate this conversion. The technology can programmatically analyze a conversational history for thematic coherence. Based on the analysis, a consolidation module may apply conditional logic, for instance, by structuring coherent turns into a few-shot prompt or pruning less relevant turns to help isolate a user's intent. The resulting prompt can be scored for quality and optionally optimized by a language model. This process can transform an …

Automated Feature Engineering And Multi-Stage Selection For Time-Series Forecasting, Leonid Kuligin, Thomas Zettl

Defensive Publications Series

The time-series forecasting, for example in supply chain management, can be challenged by high-dimensional and noisy market data, which may lead to model overfitting and the inclusion of spurious correlations. A framework for automated feature engineering and multi-stage selection can help address these challenges. The process can programmatically generate a large set of potential features, such as time-lagged variables, from heterogeneous data sources. A multi-stage selection protocol can then be applied, which may first use correlation-based filtering to prune features, followed by an iterative, model-driven stage that uses backtesting to evaluate and promote features based on their predictive value. This …

A System For Brand-Sponsored Media Subscriptions With A Themed User Interface And Exclusive Ad Delivery, Caroline Pieracci

Defensive Publications Series

Digital media platforms may utilize ad-supported models that can present users with a high volume of advertisements, or subscription models that can include a price barrier. This disclosure describes a system for brand-sponsored platform subscriptions that can function as a hybrid monetization model. A method may allow a user to opt into a sponsorship from a single brand or a curated bundle of brands to receive access to platform features, such as those associated with a paid subscription, at a reduced or no monetary cost. In exchange, the user's platform experience can be modified for a defined period. This modification …

Blind Mate Paddle Fabric Shuffle Cassette, Anonymous

Defensive Publications Series

The present disclosure describes a blind-mate cassette interconnect system that enables high-speed, high-density connectivity between modular switching and fabric elements while maintaining full compatibility with standard OSFP (Octal Small Form-factor Pluggable) cages and connectors. The cassette integrates pre-terminated twinax or optical links within a floating housing that allows precise, tool-less alignment and automatic mating during module insertion, replacing up to sixteen discrete OSFP cables. This architecture combines the serviceability of blind-mate connectors with the flexibility of standard OSFP ecosystems (DAC, ACC, AOC, coherent, WDM, etc.), reducing installation time, eliminating cabling errors, and simplifying expansion from single-rack to multi-rack systems. By …

Anode-Modified High-Density Polyethylene For Submarine Cable Landings, N/A

Defensive Publications Series

This publication describes an innovative approach for establishing sea earth connections for cable landing stations. It focuses on enhancing High-Density Polyethylene (HDPE) pipes used in Horizontal Directional Drilling (HDD) to function as anodes, thereby providing a dual-purpose solution for housing submarine cables and serving as a robust system earth. This method offers a long-term, reliable design that can replace traditional sea earth techniques, particularly in scenarios where environmental or logistical constraints make conventional methods unfeasible or costly. Key aspects include material modification, electrical potential for sacrificial anode design, and integration with HDD technology.

Cloud-Managed System For Distributing Audio Content To Point-Of-Sale Devices, Ramprasad S, Gulmohar Khan, Ankul Batra, Gajen Agrawal, Malay Singh, Saurabh Mimani, Ajay Prasad, Venu Annamraju, Sailendra Bathi

Defensive Publications Series

The utility for merchants of point-of-sale (POS) audio devices can be expanded beyond announcing transaction details. A cloud-managed system can facilitate the creation and distribution of custom audio content to these devices. For example, a user can input text through a client application, which can be sent to a cloud backend. The backend can use services, such as generative artificial intelligence for content refinement and a text-to-speech engine, to generate an audio file. The backend can then orchestrate the distribution of the audio file and an associated playback schedule to one or more endpoint audio devices. This system can expand …

The Compact Composite Virtual Content Viewing System That Is Bent Inwards At The Upper And Lower Edge Sections To Provide An Immersive Virtual Content Viewing Experience., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a compact composite virtual content viewing system that is bent inwards at the upper and lower edge sections to provide an immersive virtual content viewing experience. The entire composite virtual content viewing system will consist of a top projection system and a bottom projection system, which are identical to each other. Each projection system will contain a centrally located projection configuration and a bent projection configuration. In the compact composite virtual content viewing system, the 2 containing centrally located projection configurations will provide a composite central virtual content viewing area. And the 2 containing bent projection configurations …

Improving Llm Speculative Decoding Drafting Using Multi-Tier Chained Drafter, Jae Hun Ro, Asaf Aharoni, Ananda Theertha Suresh, Michael Butler, Matthew Markwell

Defensive Publications Series

Large language models (LLMs) generate output tokens auto-regressively, which places constraints on the rate of token generation and can lead to underutilized hardware and higher latencies for generating responses. Speculative decoding techniques can be used to guess multiple future tokens or a sequence of candidate tokens to improve hardware utilization and reduce the overall latency. However, when speculative tokens are generated using a drafter model that is a lightweight approximation of a primary LLM, the drafter model can itself become a computational bottleneck, consuming non-trivial time and/or underutilizing hardware. This disclosure describes the use of tiered smaller drafters where one …

Client-Side Logic Forcing Use Of Reliable Voice Codec For Satellite Voice Communications, Dang Tu Nguyen, Sooraj Sasindran, Youngtae Cha, Hwangoo Park, Bodam Nam, Karthick Musuvathi Janakan, Soumyadeep Paul

Defensive Publications Series

This disclosure describes a network-aware codec negotiation technique for satellite voice communications. Devices connected to satellite networks face issues such as high latency and low bandwidth that can cause modern High-Definition (HD) voice codecs to fail. This leads to call dropouts and/or unintelligible audio. The techniques described herein utilize client-side logic on the user equipment (UE) that forces the use of the Adaptive Multi-Rate Narrowband (AMR-NB) codec via the session description protocol (SDP) offer that is sent by the UE when a satellite connection is detected. This ensures a stable and reliable call, with priority given to intelligibility and reliability. …

Hybrid Satellite Network Management, Karthick Musuvathi Janakan, Sooraj Sasindran, Dang Tu Nguyen, Soumyadeep Paul

Defensive Publications Series

Satellite-based communication from a smartphone and other devices is useful for emergency communication and also provides connectivity in areas where traditional terrestrial networks are unavailable. However, when a single carrier uses multiple satellite providers, a mobile device may not be equipped to seamlessly manage satellite connections. This can lead to a fragmented user experience which can be detrimental, especially for critical services such as emergency messaging. This disclosure describes techniques to intelligently manage a hybrid satellite environment on a mobile device when a single carrier offers services from different satellite providers. The techniques incorporate per-provider configuration, dynamic feature caching, hybrid …

Automatically Displaying Contextually Relevant Information In Response To Gesture Input On Displayed Content, Cliff Kuang

Defensive Publications Series

Obtaining information related to content viewed from a device currently requires users to engage in burdensome actions such as asking questions to an AI assistant or specifying a search query, both of which require the user to provide the context for their query. This disclosure describes a simple gesture-based user interface that helps users satisfy information needs from content they view. When the user performs a gesture, a prompt is automatically provided to a large language model (LLM) to generate relevant answers. With user permission, the LLM uses the user's current content and profile information to create personalized answers and/or …

Targetless Extrinsics Calibration Of Time-Of-Flight (Tof) Cameras On Mobile Devices, Dinghuang Ji, Yong-Dian Jian, Verse Zhou

Defensive Publications Series

Time-of-flight (TOF) camera images can be combined with data from other device sensors for enhanced depth perception and mapping capabilities. Effective fusion of data from TOF cameras with data from other types of sensors requires accurate calibration that can mitigate the lower range and resolution of TOF cameras. This disclosure describes techniques to perform efficient targetless recalibration to estimate the extrinsic transformation between a TOF camera and an IMU on a mobile device. The approach involves analyzing individual dTOF frames within a sequence of TOF and IMU data to identify three planar surfaces in the image, e.g., via iterative application …

Robust Metric Aggregation For Foundation Models, Jingtao Wang

Defensive Publications Series

Evaluating foundation models using a single aggregated metric, such as a weighted sum, presents significant limitations. These methods can mask catastrophic regressions in individual capabilities, establish arbitrary trade-offs between metrics, and fail to distinguish true improvements, where all members of a set have increases ≥0 (Pareto improvements), from changes where some metrics decline. This disclosure details a method for robust metric aggregation. The technique computes a composite score using a more Pareto-sensitive function (harmonic mean, geometric mean, etc.) as a base aggregator, which inherently penalizes low sub-metric values. A trade-off penalty is calculated based on negative deltas from a baseline, …

A Comprehensive Sox And Icfr Architecture For Digital Asset Custodians, Exchanges, And Tokenization Platforms, Ramkumar Bharathan

Defensive Publications Series

This work presents a comprehensive, technology-agnostic SOX (Sarbanes-Oxley) and ICFR (Internal Controls over Financial Reporting) framework tailored for digital asset, blockchain, and Web3 enterprises. The rapid expansion of decentralized technologies and digital custody models introduces new risks that traditional financial control programs are not designed to address. This paper provides an end-to-end, multi-layer control architecture that integrates modern cybersecurity practices, blockchain-specific controls, and regulatory expectations across COSO, PCAOB, NIST, and evolving digital asset guidance.

The framework includes entity-level governance, digital asset custody controls, key-management procedures, multi-signature governance, smart-contract change management, stablecoin and token issuance safeguards, exchange integrity controls, and automated …

Mag-V: A Multi-Agent Framework For Synthetic Data Generation And Verification, Abhinav Mathur, Akshay Mallipeddi, Joseph Ross, Kristal Curtis, Liang Gou, Harsh Vashistha, Saptarshi Sengupta

Defensive Publications Series

Extending the capabilities of Large Language Models (LLMs) with functions or tools for environmental interaction has led to the emergence of the agent paradigm. In industry, training an LLM is not always feasible because of the scarcity of domain data, legal holds on proprietary customer data, rapidly changing business requirements, and the need to prototype new assistants. Artificial Intelligence (AI) agents can address such issues by relying on the zero-shot reasoning abilities of the underlying LLM and utilizing tools to explore and reason over customer data and respond to user requests. However, there are two concerns here: (I) acquiring large …

Ai-Generated Personalized Information Digests From Diverse Information Sources, Ruochuan Zhang, Jacob Antony Arnold

Defensive Publications Series

Individual contributors in a large-scale project can find it challenging to maintain a comprehensive understanding of project status and trajectory because of information overload. from project-wide updates from multiple information sources. Current large language model (LLM) generated summaries are based only on a single information source and are not personalized. This disclosure describes an LLM-based artificial intelligence (AI) agent for automatically providing users with periodic personalized digests of relevant project-related updates based on information obtained with permission from multiple data sources. With specific user permission, data from various project-related information sources such as collaboration platform, project management platform, document repository, …

Proactive Account Matching In Payment Flows For Regulatory Compliance, Amish Patel, Abhishek Tyagi, Yogesh Agrawal, Varun Gupta, Piyush Ramuka, Sanket Jain, Nishank Jain, Paridhi Rawat

Defensive Publications Series

In certain jurisdictions, online transactions with merchants or brokers in certain regulated sectors are subject to regulations that mandate that payments be completed using instruments previously registered by the user with the merchant. Unaware of such mandates, users often select bank accounts unregistered with the merchant, resulting in failed transactions and frustration. This disclosure describes techniques that enable only those transactions that are compliant with regulations requiring a match between the user’s bank account registered with the merchant and the user’s bank account registered with their payment app. A match between bank accounts registered with the merchant and the payment …

P2p Service With Dynamic Acquiring, Jarkko Oskari Sevanto, Ali Esmailzada

Defensive Publications Series

One embodiment includes a processing network computer implemented method for facilitating a transaction between a sender and recipient. The method uses a token or token reference to dynamically select an authorizing entity as an acquirer, thus enabling transactions among a variety of authorizing entities.

Distributed Security Orchestration With Adaptive Filtering And Data Minimization, Radhika Ravindranath, James Black, Jacques Mouton

Defensive Publications Series

Traditional security analytics, which relies on centralized data collection and processing, can raise concerns relating to privacy, data-transmission costs, threat-response latency, and jurisdictional data-handling requirements. This disclosure describes techniques to perform security analytics across a distributed network of edge computing nodes. By leveraging edge computing to collect and analyze data from endpoint devices, data collection/transmission is optimized and privacy is enhanced. Centralized processing via federated/distributed processing is limited. Adaptive filtering is used to dynamically adjust data processing and transmission based on detected events and risk levels. A tiered zoning approach processes high-risk events centrally, quarantines moderate-risk events for further analysis …