Digital Commons Network^™

Caldwell Quantum‑Safe Resonance‑Stabilized Cryptographic Key‑Exchange Engine (Qs‑Nexus‑1.0), Michael Victor Caldwell Mr.

Defensive Publications Series

This invention provides a next‑generation quantum‑safe cryptographic key‑exchange engine designed for hybrid networks that must remain secure against classical and quantum attacks. QS‑NEXUS‑1.0 integrates multi‑modal entropy harvesting, resonance‑stabilized randomness, temporal‑artifact removal, hybrid lattice‑based key encapsulation, and adaptive noise‑aligned packetization. The system improves key‑exchange stability, reduces entropy loss, and enhances resistance to quantum decryption. The core physics principle is that multi‑domain entropy fusion and resonance‑aligned randomness produce high‑stability keys that resist quantum‑accelerated attacks. This disclosure includes full architecture, BOM, build path, and test protocol. This work is intended as open‑hardware prior art to ensure global public access.

Caldwell Multi‑Modal Federated‑Learning Engine With Differential Privacy & Resonance‑Stabilized Aggregation (Fl‑Nexus‑2.0), Michael Victor Caldwell Mr.

Defensive Publications Series

This invention provides a next‑generation federated‑learning engine for edge devices requiring privacy‑preserving model training without transmitting raw data. The system integrates multi‑modal sensor fusion, temporal‑artifact removal, adaptive gradient compression, differential‑privacy noise shaping, and resonance‑stabilized aggregation to improve accuracy, reduce bandwidth, and enhance privacy. The core architecture uses stabilized multi‑domain tensors and artifact‑cleaned gradients to ensure reliable convergence across heterogeneous devices. The key physics principle is that multi‑modal fusion and resonance‑aligned aggregation reduce drift and noise during distributed learning. This disclosure includes full architecture, BOM, build path, and test protocol. This work is intended as open‑hardware prior art to ensure global …

Caldwell Multi‑Modal Application‑Profile Network Routing Engine (Map‑Nre‑1.0), Michael Victor Caldwell Mr.

Defensive Publications Series

This invention provides a multi‑modal network‑quality measurement and routing engine designed to classify and route application traffic based on realistic, application‑specific performance metrics rather than high‑priority control packets. The system measures loss, latency, and jitter using traffic profiles that match actual application behavior, enabling routing decisions that reflect true network conditions. The core architecture integrates distributed measurement nodes, temporal‑artifact inspection, multi‑modal signal profiling, and adaptive routing logic. The key principle is that network liveliness must be measured using representative traffic rather than artificially prioritized packets. This disclosure includes full architecture, BOM, build path, and test protocol. This work is intended …

Multi-Channel Orchestration Of Context-Aware User Feedback Collection, Parnika Singhal

Defensive Publications Series

Collecting user satisfaction data can be challenging, as certain methods, such as delayed, single-channel email surveys, may result in low participation and skewed datasets. Disclosed are systems and methods for a multi-channel, event-driven orchestration framework for soliciting user feedback. A system can be initiated by an event, for example a support case closure, and may send an initial notification directing a user to a survey. For users who do not respond, a conditional, context-aware reminder can be delivered through an alternative communication channel, such as a synchronous chat application, after considering factors like the user's local time and calendar availability. …

Secure Payment Payload Relay From An Offline Payer Device To A Connected Merchant Terminal, Saicharan Nimmala, Vineeth Kumar, Piyush Ramuka, Sanket Jain, Sailendra Bathi, Vishal Shroff

Defensive Publications Series

Digital payment transactions won’t initiate or fail when a payer's computing device lacks an active internet connection, which results in loss of sale for merchants in areas with poor network coverage. This disclosure describes systems and methods that address this issue by leveraging a merchant's network connectivity. For example, a payer's offline computing device (e.g., a smartphone, smart watch, or wearable device) can generate a multi-layered, cryptographically secure data payload encapsulating transaction and authorization details. This payload can then be transferred locally, such as via dynamic quick response (QR) codes or nearfield communication, to a merchant’s terminal with an active …

Adaptive Discovery And Policy-Based Routing Of Local And Network Ai Services, Hp Inc

Defensive Publications Series

This article describes a client-side system that discovers artificial-intelligence services available on the same device, on a local network, or through a configured remote connection, and selects a suitable service separately for each request. Selection considers required functions, input sensitivity, response delay, service load, operating cost, network condition, and the client device’s battery and thermal state. A local classifier applies mandatory handling rules before any request leaves the device. Services that fail a functional or data-location constraint are removed; the remaining services are ranked, and ordered alternatives are retained for controlled failover. Conversation state is stored in a service-neutral representation …

Method For Secure, Least-Privilege Local Execution Of Cloud-Hosted Artificial Intelligence Operations On Day-Zero And Network-Isolated Devices Via A Hardened Endpoint Bridge, Marian Volodymyrovych Rydzanych, Goudam Jaganmohan Muralitharan

Defensive Publications Series

A system is described herein for enabling a cloud-hosted artificial intelligence (AI) agent to securely execute a small, explicitly governed, fully audited set of local actions on an operator workstation. A hardened desktop bridge turns the workstation into a trusted proxy that extends the agent to day-zero, greenfield, and network-isolated devices through serial, Universal Serial Bus (USB), and local area network (LAN) paths during initial bring-up. Least privilege is maintained through a sandboxed renderer, a narrow inter-process boundary, a runtime fail-safe command allowlist, operating system (OS) keychain credential isolation, unconditional shell-metacharacter blocking, and an append-only audit log. The agent can …

Caldwell Thermodynamic Upgrade Engine For Global Gaps 31–40, Michael Victor Caldwell Mr.

Defensive Publications Series

Global infrastructure analyses identify ten critical thermodynamic gaps beyond the first 30 worldwide gaps: vertical‑farm cooling, micro‑structured desalination, thermal‑stable vaccine manufacturing, atmospheric micro‑particle capture, humanitarian food‑processing stability, satellite ground‑station cooling, remote industrial camp cooling, PFAS‑adjacent soil neutralization, emergency communication node cooling, and AI‑edge device cooling in hot regions.

This disclosure presents a unified thermodynamic upgrade engine composed of gyroid thermal‑hydraulic cores, TPMS purification lattices, vortex‑TPMS cooling modules, atmospheric water harvesters, micro‑particle capture lattices, chip‑scale cooling engines, radiative gyroid condensers, and auxiliary subsystems.

Each subsystem is explained in detail, including how it directly fills a global gap, how it works, and …

System And Method For Knowledge Reuse From Infrastructure Interaction Exhaust And Cross-Agent Behavioral Metadata Inference, Eric Zavesky

Defensive Publications Series

A system and method for cross-agent behavioral pattern learning and knowledge reuse from infrastructure interaction exhaust. The system passively captures interaction traces from multiple actors - including autonomous agents, semi-automated processes, and human users - as they interact with databases, APIs, and infrastructure endpoints through heterogeneous surfaces. A semantic inference layer analyzes captured traces to infer properties beyond raw telemetry, including organic field discovery, relevance weighting, prompt-level field alias mining, role frequency and sensitivity determination, and retry-aware intent detection. A pattern sanitization module strips individual actor identity and raw data values while preserving role-scoped organizational tokens, producing parameterized patterns with …

System And Method For Provenance-Gated Vector Embedding: Structural Exclusion Of Shadow Inference Records From Production Ai Knowledge Bases, Durga S. Kala, Tianyi Xu, Ketaki Surendra Kumbharkar, Jun Xu

Defensive Publications Series

The present disclosure relates to a method and a system for maintaining provenance-based separation of Artificial Intelligence (AI) inference data. The present disclosure suggests receiving an inference result record generated by an artificial intelligence (AI) inference platform. The present disclosure also suggests identifying a provenance attribute associated with the inference result record, the provenance attribute indicating an execution context of the artificial intelligence model. Based on the provenance attribute, the present disclosure suggests determining whether the inference result record corresponds to a production execution mode, a shadow execution mode, or an unrecognized execution mode. Upon determination, the present disclosure suggests …

Automated Software Defect Analysis And Prevention Via A Closed-Loop Knowledge Extraction Pipeline, Snigdha Saha, Zening Li, Shu-Wei Cheng

Defensive Publications Series

In large-scale software development, root-cause analysis can be a manual process that may not effectively connect production crashes to nuanced discussions from code reviews. A system for automated software defect analysis can use a closed-loop pipeline to extract engineering principles from historical development artifacts, such as code review comments, to create a structured, machine-readable knowledge base. An autonomous agent may use this knowledge base to analyze new code contributions, generating quantitative risk scores based on principle violations, disparities between developer intent and the code changes, and similarity to historical crash-inducing changes. This process may assist in accelerating root-cause analysis of …

Decentralized System For Agent-Mediated Querying Of Personal Knowledge Repositories, Calvin Huang, Fei Wang, Zening Li, Shu-Wei Cheng, Snigdha Saha

Defensive Publications Series

The capture of tacit knowledge in organizations may be hindered by friction associated with manual documentation. A decentralized system can address this by providing each user with a personal knowledge repository (PKR) hosted on a shared, searchable file system. A local software agent, operating on a user's computing device (e.g., a laptop, smartphone, or wearable device), can populate the PKR through explicit commands or passive monitoring of work activities, with user consent. This agent can also directly query the PKRs of other users across a peer-to-peer network to retrieve information. The system can provide a method for accessing distributed information, …

Temporal Pixel Modulation For Client-Side Video Piracy Prevention And Anti-Screen-Recording, Paras Thakur

Defensive Publications Series

Traditional digital rights management and visual watermarking fail to prevent video piracy through the analog hole or significantly degrade user viewing experiences. To address this, a client-side Temporal Pixel Modulator can be implemented within a video player's GPU rendering pipeline using WebGL fragment shaders. The shader dynamically modulates individual pixel luminance values at a high frequency above the human critical flicker fusion threshold, maintaining a flicker-free visual experience for legitimate viewers. However, when captured by digital sensors, this modulation can interact with camera shutter speeds and exposure intervals to induce temporal and spatial aliasing. This aliasing structurally corrupts unauthorized recordings …

Inline Thermal Interface Quality Assessment And Process Control Using Embedded Sensor Telemetry, Anonymous

Defensive Publications Series

Inline, non-destructive screening of thermal interface quality is performed on a fully assembled and sealed die–thermal-interface–cold-plate unit. A controlled electrical power stimulus is applied to one or more dies using the unit’s normal power delivery. Transient die temperature telemetry from embedded sensors and applied power from power-rail telemetry are captured without added metrology hardware. A thermal-interface quality metric is extracted, including a thermal-resistance ratio and/or transient-signature features that may be isolated using structure-function decomposition. Units are ranked relative to other units or a running baseline to support an inline go/no-go decision without requiring an absolute reject specification. The metric is …

Flexible Placement Ac-Cbu Rack With Upstream Current Transformer And Feedback Control, N/A

Defensive Publications Series

An AC-integrated capacitor bank unit (AC-CBU) rack architecture places a current transformer (CT) at an upstream location, such as a low-voltage switchgear, relative to both the AC-CBU racks and the payload racks. The upstream CT measures the aggregate load current for a group of racks. Multiple AC-CBU racks share this measurement data from the single CT and use feedback control to smooth power fluctuations on the power busway. This configuration results in a flexible layout compatible with standard data center designs, as the AC-CBU racks can be physically distributed among payload racks and connected in a daisy-chain to share the …

Large Language Model (Llm) Powered Input Method Editor (Ime), Liyang Jiang, Heng Su, Gang Feng

Defensive Publications Series

Traditional Input Method Editors (IMEs) that provide next phrase prediction to ease data entry have limited context and lack deep semantic understanding. The prediction accuracy of such IMEs is suboptimal for long-tail phrases such as domain-specific vocabulary, acronyms, slang, etc. or in contexts where the text entry has a long semantic context. This document describes techniques that integrate a Large Language Model (LLM) into the text decoding and prediction path of an IME to reduce keystroke overhead and improve output quality by providing advanced state-dependent predictions. An asynchronous prediction pipeline is implemented where a client application (e.g., that operates as …

Remote Display Spatial Pointing Using Processed Inertial Sensor Data From A Mobile Device, Chien-Feng Yu, Pei-Yu Chen, Eusden Lin, Shang Wei Lin, Dewita Sonya

Defensive Publications Series

A mobile computing device (e.g., a smartphone, smart watch, wearable device, augmented reality glasses, etc.) may function as a spatial pointer for a remote display by processing data from an on-board inertial measurement unit. An on-device spatial engine can translate the device's physical orientation and movement into two-dimensional screen coordinates. This translation process may, for example, involve techniques such as isotropic aspect ratio correction and a dynamic motion amplification layer that adjusts sensitivity based on angular velocity. The processed coordinates can then be streamed to the remote display over a low-latency network protocol. This approach may provide improved cursor control …

Localized Generation Of Privacy-Preserving Ambient Chronicles, Karl Tao, Gaurav Arora

Defensive Publications Series

A system is disclosed for generating a localized activity chronicle within a private environment. Local cameras capture sparse static snapshots of room environments over a local network. A local smart hub platform receives each snapshot directly into an ephemeral, volatile memory buffer. An on-device vision model, such as a quantized vision-language model executed by a local hardware neural processing unit or other local processing resource, processes the snapshot to generate a time-stamped natural-language description of activities within the private environment. Immediately following text generation, the raw snapshot is purged from the volatile memory, preventing raw image data from being stored …

Wearable Apparatus Configured For Ambient Marker Sensing And Application Actions, Carlos Henrique Esteves Mendonca, Joost Korngold

Defensive Publications Series

Transactions involving physical objects often require manual interaction with a mobile device, such as opening a camera application to scan a visual marker, resulting in an interruptive and multi-step process. A wearable extended reality apparatus or device (e.g., smart glasses) is described that may be configured for hands-free processing of digital transactions. The device can use an ambient camera to sense visual markers in an environment. To establish user intent, a dwell mechanism may evaluate gaze duration before triggering a secondary image capture. The device is configured to decode a uniform resource identifier from the visual marker and link to …

Ai-Driven Browser Automation System For Attribute-Based Resource Access, Benjamin Albert Azose, Akancha Murlidhar Gupta, Theodore Thomas Olsauskas-Warren

Defensive Publications Series

An AI-driven browser agent framework is disclosed to facilitate attribute-based access to resources by enabling resource access decisions based on user or account characteristics rather than transferable authorization mechanisms. With user permission, the framework allows a browser agent to communicate user credentials, selected eligibility-related information requested by a resource provider for evaluating predefined eligibility criteria associated with a requested resource. Based on the evaluation, the browser agent may be granted immediate access to a resource acquisition workflow, assigned access at a future date or time, placed into a waiting queue, or denied access. By supporting multiple communication mechanisms, coordinated admission …

Dynamic Binary Patching Of Sub-Processes In A Multi-Process Browser Architecture Without Application Relaunch, Kentaro Hara

Defensive Publications Series

A vulnerability window is created when software patches are committed to open source repositories before an application restart is executed. An approach is disclosed where a primary process remains active on an original binary while helper processes run on updated binary versions. These updates are restricted to changes that preserve inter-process communication boundaries and shared memory layouts. New rendering processes are initiated from the updated binary during web navigations. Graphics and network processes are restarted using the updated binary during unutilized periods. Security updates are deployed to a running application without a full restart or modifying live memory structures.

Caldwell Hermes‑Awh V1.0 High‑Flux Enthalpy‑Recycling Modular Extraction System Open-Hardware, Build-And-Test Atmospheric Water Harvester For Low-Humidity Environments, Michael Victor Caldwell Mr.

Defensive Publications Series

Caldwell HERMES‑AWH is a modular, solar-regenerated atmospheric-water-harvesting system designed for low-to-moderate relative humidity, nominally 15–35% RH. The design addresses the major practical bottlenecks of conventional sorption-based atmospheric water harvesting: slow water-vapor diffusion into thick sorbent beds, adsorption heat that reduces uptake, poor thermal uniformity during regeneration, loss of desorbed vapor, incomplete condensation recovery, and low daily cycle count.

The system uses multiple thin structured sorbent cassettes, each carrying a 0.5–2.0 mm active sorbent layer on a thermally conductive backplane. Cassettes operate in sequential modes: ambient-air adsorption, thermal preconditioning, closed solar-thermal regeneration, vapor recovery and condensation, and cooling/reset. The system maintains …

C++ Iterator Hardening Via Restriction Of Scripting Engine And Inter-Process Communication Execution, Kentaro Hara

Defensive Publications Series

Memory safety flaws, such as use-after-free vulnerabilities, are caused when collection structures are modified during active iteration loops. Modifications to an active collection structure are sometimes induced by unexpected execution of a scripting language engine or an inter-process communication mechanism, whereby dangling iterators are produced. To mitigate these flaws, a thread-local counter mechanism is disclosed. A counter within thread-local storage is modified across iterator lifecycle operations, including construction, copy construction, move construction, assignment, and destruction. Within a rendering process, execution of a scripting language engine is blocked via a process termination if a non-zero value is held within the counter. …

Aquila-X 3.0: Modular High-Throughput Mobile Potable-Water Factory With Adaptive Pretreatment, Parallel Production Trains, Seawater Energy Recovery, Multi-Grade Outputs, And Concentrate-First Residual Management Research Conceptual Invention, Michael Victor Caldwell Mr.

Defensive Publications Series

AQUILA-X 3.0 is a transportable, modular, multi-barrier water-production platform designed to produce more independently verified potable water per deployable system than conventional mobile RO plants while maintaining safe operation, source-specific treatment, practical energy demand, maintainability, redundancy, and complete residual accountability.

The system does not depend on one miracle component. Its capacity comes from:

• Selecting the shortest safe treatment route for each characterized source.

• Removing grit, solids, oil, algae, and foulants before fine membranes.

• Using multiple independently isolatable production trains.

• Avoiding high-pressure RO when freshwater does not need desalination.

• Using dedicated high-pressure SWRO equipment and energy recovery when seawater does need …

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Notification String Optimization Using Reinforcement Learning And Llms, Sumit Kumar Jha, Ishan Gambhir, Shubham Kumawat

Defensive Publications Series

Current approaches to avoid the drop in engagement with notifications have a high overhead, are slow to roll out, and lack content personalization. This disclosure describes techniques, implemented with user permission, to automatically select and manage content for push notifications with an automated closed-loop self-healing personalized architecture. The approach can be implemented with a Contextual Multi-Armed Bandit (CMAB) Reinforcement Learning (RL) model with reward signals configured to trigger a Large Language Model (LLM) to generate, validate, and inject fresh personalized notification strings in the content pool. The pipeline to generate structured content to replace previously pushed notification content can be …

Context-Aware Multimodal Generative Copilot And Cross-Surface Discovery Engine For Automotive Passenger Displays, Richa Gupta

Defensive Publications Series

This disclosure describes an operating-system-level passenger copilot, also referred to as an in-car assistant, passenger companion, or media helper, for vehicles equipped with passenger displays, rear-seat entertainment screens, or secondary displays. The system coordinates video screen image capture (frame ingestion), voice isolation (seat-isolated routing), cross-device watch history syncing (watch graph synchronization), and on-screen landmark navigation (point of interest extraction) to enhance the in-vehicle entertainment experience without distracting the driver. When a user taps an on-screen icon or speaks into a dedicated microphone, the vehicle operating system captures a video frame, screenshot, or image from a streaming video application. A multimodal …

System For Providing Playback-Synchronized Contextual Content To A Secondary Device, Aritri Chakraborty, Himank Airon, Ayushi Goyal

Defensive Publications Series

Obtaining contextual information for content on a primary display can disrupt a viewing experience or involve fragmented manual searches on a separate device. Systems and methods are described that can address this by synchronizing a secondary computing device (e.g., a smartphone, tablet, or wearable device) with a primary display. The primary device may broadcast synchronization data, such as a content identifier and a playback timestamp, to a companion application on the secondary device. This application can then query a backend system to retrieve pre-processed, time-coded metadata corresponding to a specific moment in the media. This process can provide context-aware information …

Edge-Based Causal Analysis For Remediating Micro-Temporal Resource Congestion, Ajit Singh

Defensive Publications Series

Systems and methods are described for mitigating micro-temporal resource congestion in multi-tenant computing environments, where conventional schedulers may not effectively resolve sub-second interference. A decentralized control plane can operate at the node level, using local probabilistic profiling to generate compressed summaries of system behavior. A causal analysis engine can then calculate a correlation coefficient to attribute performance degradation in a affected workload to the resource consumption of a potential source workload. The system can handle analysis edge cases, such as resource saturation, and can employ a return-on-investment framework to select a remediation action, for example, throttling the source, boosting the …

Mandate Lifecycle Extensions For Agentic Payment Credentials, Matthew T. Kirby

Defensive Publications Series

Autonomous AI agents, including large language model (LLM) agents, increasingly originate payment authorization requests under stored, cryptographically signed mandates derived from natural-language instructions. Existing frameworks verify machine-enforceable constraints — amount, payee, merchant — at transaction time; existing art separately teaches similarity-based transaction screening, single-use transaction-linked authorization credentials, decoupled out-of-band authentication, versioned credential supersession with freshness proofs, and attested display of transaction details. No reference teaches the lifecycle coupling specified here: (1) suspending a payment authorization request when a similarity score between a salted, committed embedding of the natural-language instruction — bound into the signed mandate with a pinned scoring stack …

Concurrent Multi-User Testing Framework, Yabin Huang, Dan Shi

Defensive Publications Series

Vehicle infotainment platforms, often referred to as in-vehicle infotainment (IVI) systems, undergo extensive testing covering device compatibility, safety compliance, and system security and stability. However, testing concurrent user interactions in multi-user and multi-display environments remains insufficient. Moreover, traditional single-user testing cannot detect concurrency-specific bugs, such as race conditions or data corruption, and custom-built concurrent tests lack scalability. This publication describes a concurrent multi-user testing system that solves existing testing solution shortcomings by detecting concurrency-related bugs using a simultaneous, isolated testing framework (or parallel execution software validation environment), reusing pre-existing tests for high scalability. Such a system enables simultaneous multi-tenant testing …