Digital Commons Network^™

The Agentic Framework For Automated Product Research And Prototype Planning, Zebeedee Pedersen, David Benjamin

Defensive Publications Series

Conventional product development processes can involve the manual coordination of multiple teams. This disclosure describes a system that can utilize a cooperative framework of specialized software agents to automate aspects of product research and prototype planning. The system can execute a multi-stage workflow where agents may perform roles, such as research agents gathering data, analyst agents synthesizing information to identify trends, and planner agents generating machine-readable implementation plans. The framework can also include oversight agents to facilitate quality control through automated feedback loops. This agentic system can provide a method for identifying, analyzing, and developing new product or service concepts, …

Optimizing The Timing Of Reminders For Unopened Apps, Haifeng Ji, Xiaoxue Ma, Giang Huong Le, Hua Wei, Haoyu Chen, Kiran Kokare

Defensive Publications Series

When a large number of applications are installed on a user device, a user may forget to use an app they have not engaged with or that they use infrequently. While reminders can improve app engagement, reminders delivered at inopportune times may not improve user engagement and may be perceived negatively. This disclosure describes techniques to personalize the timings of reminders to users to open installed apps. With user permission, machine learning (ML) is used to predict a suitable time to notify the user to open an app. A trained ML model analyzes permitted user and app data to personalize …

Optimized Wishlist-Based Gift Purchase Flow For Digital Storefronts, Caitlyn Milne

Defensive Publications Series

Gifting via wishlists is a multi-step process that requires manual data entry for item selection and adding to cart, recipient information, gift message, payment information, etc. This disclosure describes techniques that eliminate unnecessary intermediary steps in the purchase flow of digital goods to streamline and speed up gifting. The techniques allow users to view the wishlist of a target gift recipient and select a gift option to reach a gifting purchase flow. In the purchase flow, recipient-related information is automatically inferred from the source. By retrieving recipient information automatically, intermediary steps for manual data entry of recipient information and/or steps …

Bootstrap Connectivity For Mobile Devices Without Sim Cards, Aguibou Barry, Tim Auer, Wendy Wang, Pankaj Kumar

Defensive Publications Series

In some geographies, the lack of ubiquitous WiFi can complicate electronic subscriber identity module (eSIM) adoption. In some geographies, carriers can mandate device original equipment manufacturers (OEMs) to enable bootstrap connectivity, but eSIM-based bootstrap connectivity can be expensive for OEMs. This disclosure describes techniques that leverage extensible authentication protocol/ transport layer security (EAP-TLS) to enable secure connectivity of a mobile device to a cellular or satellite 5G network without an eSIM or physical SIM (pSIM). Following successful EAP-TLS authentication, the carrier enables traffic between the EAP-TLS-authenticated user equipment (UE) and the relevant service (based upon carrier-defined specific network policy). In …

Context-Aware Personalized Modular User Interfaces Using Artificial Intelligence, Stephanie Brisendine, David Karam, Chorong Johnston, Dj Oh, Tyler Kugler, Tim Raupach, Alok Chandel, Lucas Dupin, Hannah Bowman

Defensive Publications Series

Current computing devices display static home screens. Also, application data is isolated within individual applications. This forces users to access different apps for information, creating a high cognitive load. This disclosure describes techniques that, with user permission, automatically generates and presents an adaptive, contextually appropriate user interface (e.g., home screen interface) on a computing device. The user interface provides seamless, proactive, personal assistance throughout the day and reduces the effort (and time) the user needs to spend to access desired information. With user permission, data from multiple sources is aggregated and an on-device machine-learned model is implemented to identify user …

Proactive Make-Before-Break Traffic Steering In Evpn Multi-Homing Using A Bgp Extended Community For Pre-Failure Link Degradation Signaling, Anonymous

Defensive Publications Series

A method and system for proactive Make-Before-Break (MBB) traffic protection in an Ethernet Virtual Private Network (EVPN) is disclosed. A first Provider Edge (PE) router monitors a physical-layer Bit Error Rate (BER) on a link to a multi-homed Customer Edge (CE) device. When the measured BER crosses a configurable threshold while the link remains operationally up, the first PE router originates a Border Gateway Protocol (BGP) UPDATE carrying a new transitive Extended Community that signals link degradation, the BGP UPDATE being attached to an EVPN Type 1 Ethernet Auto-Discovery per-Ethernet Segment route. Remote PE routers receiving the Extended Community migrate …

Agent-Aware Mesh Network For Hybrid Ai Policy Enforcement, Antonio Ojea

Defensive Publications Series

Organizations in regulated sectors may face challenges using large-scale, cloud-based artificial intelligence (AI) services because of data sovereignty and compliance mandates. A system may provide a decentralized, agent-aware mesh network that functions as an infrastructure layer to bridge on-premise environments and external AI services. This network can intercept and semantically understand complex agent communications, allowing an active enforcement layer to perform actions such as sanitizing data, pausing high-risk operations for human review, and maintaining a sovereign audit log. This approach can allow organizations to leverage advanced AI reasoning capabilities from external providers while assisting in the maintenance of local control …

System, Method, And Computer Program Product For Processing Documents Into Hierarchical Data Structures For Retrieval-Augmented Generation, Komal Mahto

Defensive Publications Series

ABSTRACT

Systems, methods, and computer program products are provided for processing documents. The system includes at least one processor configured to segment a document into a plurality of segments, construct a hierarchical data structure comprising a plurality of nodes representing the plurality of segments, each node of the plurality of nodes comprising hierarchical metadata, in response to determining at least one first node of the plurality of nodes exceeds a token limit, split the at least one first node into a first subset of nodes based on a semantic analysis of text represented by the at least one first node, …

Ψ-Theory: Living Core. Ontological Development And Formalization. Comments 1–21, Valerii Y. Vorobiev

Defensive Publications Series

This document compiles comments 1–21, which chronologically develop and formalize Ψ-Theory — an ontological framework where time (Ψ-field) is the primary metric of reality, and gravity, mass, and quantum phenomena emerge from its dynamics. It addresses the crises of modern cosmology (dark matter, dark energy, Hubble tension) and quantum mechanics (measurement, non-locality) by replacing ad-hoc entities with a single causal principle. The comments include testable predictions (BH shadow shift, underground chronometry, Tully-Fisher derivation) and propose a phase diagram of reality from (4,2) to (0,-2).

Defensive Specifications Disclosure: Token-Free, Non-Linear Boundary, And Wave-Interference Based Architecture For Distributed Autonomous Ai Agent Frameworks, Christopher L. Eckes

Defensive Publications Series

The Distributed Agent Networks Integrated Efficiency Layer (DANIEL) is a token-free, hardware-agnostic framework for distributed autonomous AI agents that replaces symbolic communication with a three-layer, analog-modeled mathematical system. The framework utilizes phase-matrix integration to execute scalar consensus loops via trigonometric wave equations. Security is enforced by a passive, non-linear activation gate that leverages input gradient vectors to dynamically harden against high-amplitude adversarial prompt injections. Network state synchronization is maintained across a decentralized peer-to-peer mesh mapped onto a continuous toroidal ring topology, employing a rolling average vortex matrix to passively filter localized agent hallucinations and single-node failures. This integrated architecture removes …

Loci ∞ — Infinity Memory Middleware With Temporal Compression And Universal Cross-Platform Injection, Arko Sanyal

Defensive Publications Series

We disclose LOCI ∞, a universal memory middleware system for cross-platform AI memory synchronization. LOCI extracts entity knowledge from conversations on any LLM platform, stores it in a user-owned typed dual-stream profile (informational stream: heat-decaying associative entities; quantifiable stream: exact typed facts with zero-hallucination retrieval), and injects relevant context back into any LLM platform at any point during or between sessions. The system implements hardware-aware storage tiering mapped to entity semantic salience scores (VRAM/RAM/NVMe), graph-neighbor heat propagation via spreading activation, generation-time confidence-gated correction, keystroke-level predictive context prewarm, and a privacy-locked population memory layer using federated learning with differential privacy. A …

Typed Edge Graph Authorization For Dynamic Field Level Access Control In Streaming Data Systems, Katyayani Kiranmayee Kolluru, Shivam Mohan

Defensive Publications Series

A method and system for performing dynamic field-level access control in streaming data systems includes receiving a streaming data event comprising a plurality of fields and an associated data access request from a consumer, and determining attributes and context associated with the consumer including role information, trust relationships, and runtime conditions. The method includes accessing a predefined typed-edge authorization graph comprising nodes representing consumers, fields, attributes, and context, and typed edges defining access evaluation rules wherein each edge type independently defines how access is judged. For each field, the method includes determining whether a valid authorization path exists by traversing …

The Dimensionally Extended Holographic Projection Model: A Viscoelastic Unified Field Specification, Christopher L. Eckes

Defensive Publications Series

This technical disclosure formalizes the geometric synthesis of the Dimensionally Extended Holographic Projection (DEHP) model. We present a particle-free, mathematically cohesive alternative to standard general relativity and non-baryonic dark matter. The framework replaces independent fundamental forces with a single fluid-dynamic mechanism: the topological metric embedding of a continuous, two-dimensional (2D) phase fluid substrate (z=0) operating in absolute harmonic resonance (the "Garden State").

Three-dimensional (3D) physical matter (z > 0) is modeled as a localized, high-tension wave crest ("knot") forced outward along a spatial z-axis by an original inflationary puncture flux (\(J_{z}\)). By defining antimatter as a zero-volume, 2D negative wave trough …

Touch Input For Passive Fingernail Displays Via Hub-Side Capacitive Sensing Over A Shared Power-And-Data Jewelry Conductor, Benny Goldstein

Defensive Publications Series

A wearable system adds touch input to artificial-fingernail displays while keeping the nail itself passive: no battery, no wireless transceiver, and, in the preferred embodiment, no touch-sensing circuitry on the nail. Each nail unit carries an electronic display and a transparent touch electrode. Operating power and image data reach the nail over a single decorative conductor - fine insulated wire concealed in a hollow jewelry chain - from a body-worn hub, such as a finger ring or bracelet, housing the battery, controller, and Bluetooth radio. The same conductor also carries the touch-sense signal: the hub measures the capacitance of the …

System And Method For Cooperative Interactive Ride Vehicle Control With Independent Actor Augmentation, Eric Zavesky

Defensive Publications Series

A system and method for cooperative interactive ride vehicle control provide dynamic multi-vehicle coordination within an amusement attraction. The system includes a plurality of ride vehicles, each having a local vehicle controller, rider input mechanisms, and independent physical actors distinct from primary vehicle locomotion. A centralized fleet controller mediates inter-vehicle cooperative interactions using a two-signal architecture, where upstream cooperative intents from an initiating vehicle are evaluated against a dynamic safety envelope before downstream cooperative signals are transmitted to a recipient vehicle for execution. Independent sensors provide vehicle proximity detection and telemetry data to continuously adjust operational tolerance bands. Based on …

Adaptive Multi-Format Prompt Preprocessing Using Unified Reinforcement Learning Framework, Katyayani Kiranmayee Kolluru, Shivam Mohan

Defensive Publications Series

The present disclosure provides a system for adaptive multi-format prompt preprocessing using a unified reinforcement learning framework. The system includes a prompt-type classifier (116) configured to identify a format type of an input prompt, wherein the format type includes one of natural language text, code, log, hybrid content, or error trace, the prompt-type classifier (116) being configured in some embodiments to perform deterministic rule-based classification. The system further includes a feature extraction layer (118) configured to produce a multi-modal representation of the input prompt capturing structural, linguistic, and semantic signals. The system also includes a hierarchical reinforcement learning policy engine …

Proportional Transmit Power Allocation Based On Channel Quality In Multi‑Antenna Systems, Sangwook Suh, Scott Huang, Ayrton Chen, Guosen Yue, Han Kim, Taeyoon Kim, Cp Chiang, Peng Wu, Insoo Hwang

Defensive Publications Series

In cellular networks, a user equipment device utilizing multiple transmit antennas might experience high block error rates when a gain imbalance exists between transmission paths. To handle multi-antenna transmissions, conventional approaches might allocate an equal amount of transmission power across available antennas. However, this equal allocation might expend energy on attenuated channels, lowering an overall signal-to-noise ratio at a receiving station.

A method is disclosed that assigns transmit power proportionally based on an evaluated channel quality for each antenna path. The method evaluates a reference signal received power for individual paths and directs a larger portion of transmission power to …

Persistent Driver Signatures For Software-Defined Vehicles, Sean C. Keys, Karsten Knese

Defensive Publications Series

This disclosure describes a system that enables software-defined vehicles (SDVs), smart cars, or connected autonomous vehicles to adjust their advanced driver assistance systems (ADAS) based on a persistent driver signature. The driver signature acts as a portable digital identity or user profile representing a driver’s unique physiological and behavioral tendencies, such as typical steering and braking patterns. Instead of storing raw data like video files, the system relies on a cloud database to store a secure mathematical model (a vector or tensor) that represents these individual habits. At the beginning of each trip, the SDV identifies the driver using a …

Method For Trust-Aware And Language Model–Driven Email Threat Detection And Mitigation, Niranjan M M

Defensive Publications Series

Email remains the primary communication channel for enterprises and continues to be the most exploited attack vector for cyber threats. Modern email attacks increasingly rely on impersonation, social engineering, and contextual manipulation rather than traditional malware or malicious links, allowing them to evade existing detection mechanisms. At the same time, email security systems are adopting large language models (LLMs) to improve intent detection and contextual analysis, introducing new risks where email content itself can manipulate or degrade automated reasoning.

The proposal introduces a secure, trust-aware, and LLM-safe framework for automated email threat detection and remediation. The proposed system integrates sender …

Primitive For Finding Actionable Information In Time Series Based On Motif Locations, Michael Yeh, Yan Zheng, Junpeng Wang

Defensive Publications Series

The present disclosure relates to a system and method for finding actionable information in time series based on motif locations. The method includes an analysis computer that obtains time series data. The analysis computer generates a plurality of motifs. For each motif of the plurality of motifs, the analysis computer determines identified locations in the time series data that match the motif and determines a plurality of motif type scores based on the identified locations of the motif. The analysis computer determines a selected motif of the plurality of motifs based on the plurality of motif type scores for each …

Method, System, And Computer Program Product For Online Account Recovery, Elisa Duarte

Defensive Publications Series

Methods, systems, and computer program products are provided for online account recovery. An example method includes: receiving an account recovery request associated with a user account a user is unable to access, the account recovery request including identity data and payment device data, the payment device data obtained via short range wireless communication in response to the user arranging the payment device relative to a computing device; in response to receiving the account recovery request, authenticating the chip based on a cryptogram; in response to authenticating the chip, inputting a payment device identifier and the identity data into a model …

Optimally Scaled Low-Rank Adaptation For Efficient High-Rank Fine-Tuning, Yilang Zhang, Xiaodong Yang, Yiwei Cai

Defensive Publications Series

A method can be performed during a round of iteration during a loss function optimization process. The method can include a computer obtaining a first matrix and a second matrix. The computer can determine a selected scaling process from a first scaling process and a second scaling process. The computer can modify the first matrix and the second matrix using the selected scaling process to obtain a first modified matrix and a second modified matrix. The computer can determine a first moment and a second moment based on the first modified matrix and the second modified matrix. The computer can …

Autonomous Mobile Robot For Transferring Planar Workpieces Between Processing Stations Using An Orientation-Holding Con­Veyor Stage And A Self-Locking Kinematic Dock, Alexander Willer

Defensive Publications Series

An autonomous mobile robot (AGV / AMR) transfers a planar workpiece — for example a printed circuit board — between processing stations by carrying a transfer-conveyor segment on a powered stage that holds the segment’s orientation independently of the robot’s heading. This lets a minimal-footprint, non-holonomic robot present the conveyor to a station port facing any direction, in confined space, without sweeping the segment through its diagonal. At each station a docking interface is provided that separates location from clamping: passive kinematic features (a fully-locating feature plus a relieved one, optionally tapered) locate the segment, while one or more self- …

Predictive Doppler Frequency Pre-Compensation For Non-Terrestrial Network Handovers, Edison Chen, Xuqiang Zhang

Defensive Publications Series

In non-terrestrial networks, for example, networks that use low-earth-orbit satellites, handovers between satellites may be subject to latency due to significant Doppler frequency shifts for the target satellite. This disclosure describes a predictive method for Doppler pre-compensation that may be centered at a user equipment (UE) (e.g., a smartphone, tablet, or vehicle-mounted terminal). The technique may involve the UE recording the magnitude of a frequency compensation value from its connection with a source satellite. For an initial uplink transmission to a target satellite, the UE may then apply a predictive pre-compensation value, which could be derived by inverting the polarity …

System For Converting Predictive Insights Into Executable Tasks Using Retrieval-Augmented Generation, N/A

Defensive Publications Series

Predictive analytics tools are highly effective at identifying organizational risks, such as potential employee turnover, but they often fall short in providing managers with clear steps to resolve these issues. To bridge this gap, the described technology functions as an intelligent intermediary layer that translates high level statistical risk drivers into concrete, multi-step intervention strategies.  When a predictive engine detects a risk, the system uses a retrieval augmented generation framework to pull relevant contextual information from an internal knowledge base, which can include organizational playbooks and historical success records. This specific context is then fed into a generative large language …

System For Context-Aware Data Redaction Using Instruction-Constrained Generative Ai, N/A

Defensive Publications Series

Data redaction techniques, such as manual review or simple pattern-matching, may present challenges related to speed, potential for errors, and contextual understanding for identifying sensitive information. The described system and method may be used for a context-aware redaction process that uses a generative artificial intelligence (AI) model. Source text can be encapsulated within a detailed instructional prompt that guides the AI model's function toward identifying and substituting sensitive data. This process can be managed by an orchestration layer that is configured to interact with an AI inference engine, for example, under a zero-retention policy. By replacing identified data with semantic …

Autonomous Stress Testing In A Network Digital Twin For Predictive Remediation, Mohit Chandra, Amrita Mukherjee

Defensive Publications Series

The management of complex telecommunications networks can be challenged by difficulties in predicting the impact of component failures and the risks of testing automations on a live system. Systems and methods are described that can address these challenges by creating and maintaining a graph-based digital representation, such as a digital twin, of an operational network that can be synchronized with real-time data. Within this digital twin, for example, an autonomous agent can perform synthetic fault injections to simulate a wide range of potential failures and stressors. The system can analyze the effects of these simulated faults to predict potential service-level …

Offline Short-Form Video Content Pre-Download With Integrated Parental Controls And Advertisement Management, Anonymous

Defensive Publications Series

Systems and methods are described for pre-downloading recommendation-based short-form video content for offline viewing. A client application selects a batch of videos from a personalized feed based on a user-selected viewing duration and downloads the batch to local storage using adaptive quality levels and storage-aware size estimation. Advertisements are bundled with the offline package and enforced as non-skippable during offline playback. Parental controls are integrated by applying age-appropriateness filtering before download and enforcing a daily offline viewing time limit that ends or blocks playback when reached. The system may automatically schedule pre-downloads when connected to Wi-Fi based on predicted offline …

Regional Shrink Testing For Empirical Capacity Validation In Distributed Computing Infrastructure, Anonymous

Defensive Publications Series

Regional Shrink Testing is disclosed for empirical capacity validation in distributed computing infrastructure. A controller configures a production region by applying safeguards such as disabling autoscaling and isolating load balancing behavior, captures baseline metrics, and iteratively reduces active service instances while maintaining substantially constant production traffic. Shrink targets may be computed proportionally per hardware type class (LSST) using resource weights, with instance selection based on priority and/or random sampling. A monitoring layer evaluates stopper metrics at a percentile across active hosts and classifies health into multiple levels to control shrinking, backoff, and peak detection based on sustained threshold durations. The …

Ai-Powered Autonomous Agent For Enterprise Platform Configuration With Live Introspection And Dependency-Aware Deployment, Anonymous

Defensive Publications Series

An autonomous agent configures a configurable enterprise platform to onboard a new business vertical. The agent performs live environment introspection using parallel administrative API calls to build a snapshot and a graph of configuration components and their relationships. Existing verticals are detected using naming patterns and relationship traversal with confidence scoring, and a baseline vertical template is extracted. A three-phase requirement analysis maps requirement patterns to component clusters, matches required components against the snapshot using five-tier classifications (exact, sibling, partial, misconfigured, missing) with risk metadata, and enriches results using a machine-learning model that identifies dependencies and contradictions and outputs structured …