Caldwell Cvnr‑A1.5 — Mineralized Fertilizer Pellet System Using Char + Seawater + Enhanced Mineral Additives**, Michael Victor Caldwell Mr.

Defensive Publications Series

The upgraded CVNR‑A1.5 converts char from fuel production and seawater into high‑potency slow‑release fertilizer pellets (0‑3‑4 to 0‑5‑6) using resonant mineral extraction, brine conditioning, pelletization, and upgraded nutrient additives.

This system integrates Marine‑Duo V26‑M, Lazarus Prime, URES/MMRA, CIPCP, and Sanitized Block.

Desired Outcome: A zero‑waste fertilizer system producing high‑value pellets with 90–99% success probability.

Hardware-Driven Race-To-Halt (Rth) In Conjunction With Dynamic Voltage And Frequency Scaling (Dvfs) For Memory Path Power Management, Anthony Douglas Masterson

Defensive Publications Series

This publication describes systems and techniques to manage power for dynamic memory interfaces within system-on-chip architectures.  In some implementations, memory paths utilize discrete operating frequencies.  The described systems introduce a hardware-driven synchronization and dynamic voltage and frequency scaling (DVFS) mechanism that adjusts the active time of a memory interface based on real-time utilization.  By operating the memory interface and associated requestor blocks at an elevated speed for a compressed burst period, and subsequently power-gating these components, a variable offline period is created.  This synchronization effectively yields a continuous spectrum of bandwidth scaling levels.  The hardware-driven approach coordinates active and inactive …

Asymmetric Video Streaming With Generative Metadata For Client-Side Reconstruction, Rohan Garg

Defensive Publications Series

This document describes systems and methods for asymmetric video streaming that can address challenges associated with delivering high-resolution content over limited-bandwidth networks. A server-side system can analyze a high-resolution source video to generate a low-resolution base video stream and a separate metadata stream containing content-specific generative instructions. A client device, for example, a smartphone, smart television, or other computing device, can receive both streams and use the metadata to guide an on-device generative process, for instance, on a neural processing unit, to reconstruct a high-resolution video. This technique may reduce the amount of data transmitted, which can lower server costs …

Efficient Row Hammering Mitigation For Multi-Channel Memory Architectures, Hitender Singh Rathore, Shekar Babu Merla, Pandithurai Sangaiyah, Wei-Jen Chen

Defensive Publications Series

A memory controller implementation for efficiently mitigating row hammering attacks in multi-channel memory systems is disclosed. The implementation addresses memory module architectures in which an alert signal pin of the memory module is shared by multiple module sub-channels. In this implementation, when the shared alert signal indicates a potential row hammering event, the memory controller stalls traffic to the memory module and transitions it to an idle state. The implementation reads status registers on the memory module to identify the affected sub-channels. Rather than broadcasting refresh management commands across all sub-channels, the memory controller unblocks the unaffected sub-channels and issues …

System And Method For Holistic Content And Context-Aware Display Arbitration, Google Case Managers Picozzi

Defensive Publications Series

Framework for Holistic Content and Context-Aware Display Arbitration

ABSTRACT

The disclosed technology describes a centralized, context-aware display architecture that dynamically regulates visual output by concurrently analyzing environmental conditions, hardware states, and on-screen content. By replacing isolated, stacked display adjustments with a unified intelligent orchestrator, the system generates a comprehensive predictive parameter vector that dictates granular display settings. This approach leverages machine learning and localized telemetry to resolve visual feature collisions, ultimately preserving visual fidelity, enhancing text legibility, and minimizing hardware power consumption.

Time Synchronization Between Devices Coupled Via Universal Serial Bus (Usb) Interface, David Yu

Defensive Publications Series

Time synchronization between a host and a target device coupled via an interface such as USB is vital for correlating host-side power measurements with device-side workload for software events (workload profiling). This disclosure describes high-precision host-target device time synchronization techniques. Per the techniques, a network connection is established between a host device and a target device that has low transmission delays. The host device determines baseline time offsets both at the beginning and at the end of a work profiling period using statistical noise filtering. The host device applies linear interpolation to map device-side timestamps to the host-side timeline based …

Perceptual Hdr Enhancement Within Sdr Color Space Via Dual-Model Content Analysis, Sianyi Huang, Yu Wang, Jongseo Lee

Defensive Publications Series

Converting standard dynamic range (SDR) to high dynamic range (HDR) content relies on computationally intensive ML models and heavy graphics processing unit (GPU) image processing. These requirements present barriers to implementation on mobile devices. This disclosure describes techniques, referred to as enhanced SDR (eSDR), that achieve the perceptual benefits of HDR, such as highlight sparkle and deep shadow detail, without leaving the SDR container. Global statistical features of an SDR video frame are extracted. A base luminance gain curve for the video frame is determined based on the luminance histogram. An artifact risk metric for the video frame is determined …

Loci Persistent Ai Memory Engine: Versioned Exact-Fact Chains, Source-Trust Provenance Weighting, Hardware-Tier Gradient Search, And Interpersonal Quality-Of-Life Gating, Arko Sanyal, Roza

Defensive Publications Series

This publication discloses five novel architectural mechanisms for persistent AI memory systems: (1) a versioned fact chain architecture for exact-fact stores that preserves full temporal history with provenance timestamps, enabling temporal queries unavailable in flat vector stores; (2) a source-trust provenance field that weights facts by declaration origin and prevents model-inferred data from incorrectly overriding user-stated facts; (3) an asymmetric confidence gate for conflict resolution that uses source trust to apply differential correction thresholds; (4) a hardware-tier gradient search escalation algorithm that expands retrieval scope from fastest-tier (VRAM) to slowest-tier (remote VPS) when data is not found at the current …

The Viscoelastic Redshift Protocol: Resolving The Hubble Tension Via 2d Substrate Fluid Mechanics, Christopher L. Eckes

Defensive Publications Series

This paper presents a rigorous, particle-free alternative to standard Friedmann-Lemaître-Robertson-Walker (FLRW) cosmology by formalizing the Dimensionally Extended Holographic Projection (DEHP) model. Instead of treating spacetime as a geometric vacuum expanding via dark energy, we model the universe as a continuous, two-dimensional (2D) viscoelastic phase fluid substrate operating at a resonant baseline ($z=0$). Three-dimensional (3D) baryonic matter emerges as localized, high-tension wave crests ("knots") projected vertically along a spatial z-axis, tethered directly to zero-volume antimatter anchors on the substrate's underbelly. By applying continuum mechanics to this membrane architecture, we derive a novel, purely material resolution to the Hubble Tension crisis. We …

Decentralized System And Method For Purchasing Power Stabilization Via A Thermodynamic Oracle And Damped Homeostatic Control., Ibrahim Acaymo Baute Villalba

Defensive Publications Series

The invention consists of a desentralized financial method and system designed to protect purchasing power against macroeconomic inflation and eliminate the extreme volatily of traditional stable crypto-assets. It proposes the creation of a digital asset whose target value is not pegged to a fiat currency (such as the dollar), but rather to real-world metrics and tangible scarcity.

Adapting Media Management Applications To Macro-Level User Context, Ashwin Goyal, Nicholas James Staubach

Defensive Publications Series

Media management applications such as photo libraries enable users to organize their photos and videos around various themes, search their content, retrieve historical media, share media content with others, etc. Over a substantial time period, such applications act as a repository for the user’s dominant capture context. However, current media management applications provide a static user interface that does not adapt to the user’s capture context. This disclosure describes techniques that, with user permission, automatically detect a dominant context for media capture and automatically adapt a media management application to the detected context. The context is determined by analyzing captured …

Nasa Mission Upgrade Suite (Nmus‑1.0) A Unified Open‑Hardware Architecture For Mars Brine Processing, Thermal Management, Dust‑Resilient Fluidics, And Solid‑State Habitat Support, Michael Victor Caldwell Mr.

Defensive Publications Series

ABSTRACT (NASA‑Facing)

NASA’s Moon and Mars missions face four persistent engineering challenges:

1. Corrosive brine handling (Mars ISRU water extraction)

2. Thermal management in vacuum (habitats, rovers, ISRU plants)

3. Dust‑resilient fluidics (regolith destroys seals and bearings)

4. Low‑maintenance, solid‑state systems (long-duration missions)

This disclosure presents NMUS‑1.0, a unified, solid‑state, open‑hardware upgrade suite integrating four builder‑ready Caldwell inventions from the TDC ecosystem:

• The Nexus Cell — Arachne Gyroid Structural‑Thermal Substrate

• Arachne Gen‑3 v3.4.1 “FORTRESS” — High‑Thermal Dyneema Microfluidic Interposer

• Thermal‑Energy Harvesting Loop (TEHL‑v1.0) — Vacuum‑Compatible Waste‑Heat Recovery

• TV‑RPPH V3.0 — Mars‑Optimized Solid‑State MHD Brine Pump

All components are grounded in standard physics and use …

Technical Disclosure: A Multi-Variable, Object-Oriented Database Schema And Api Protocol For Ai-Guided, Performance-Based Curriculum Routing, Christopher L. Eckes

Defensive Publications Series

This technical disclosure details the architecture for an automated, multi-variable, object-oriented data schema and Application Programming Interface (API) designed to execute performance-based curriculum routing without age-segregated grade boundaries. The system structures diverse academic, kinetic, and technical disciplines into standardized, interoperable data objects called Discipline Blueprints. Each blueprint enforces a non-linear advancement pipeline governed by two immutable checkpoints: a zero-assist algorithmic velocity sprint and a physical/systemic product generation milestone. A localized machine learning agent parses real-time telemetry from user interactions, dynamically matching individual cognitive profiles against localized workforce shortages and trade vectors to prevent network drop-out. Crucially, the architecture incorporates an …

From Ai To Alien(S): Universal Alignment Principles And The Architecture Of Inter-Species Communication Metrics, Christopher L. Eckes

Defensive Publications Series

The critical bottleneck in both contemporary Artificial Intelligence (AI) alignment and the Search for Extraterrestrial Intelligence (SETI) is anthropomorphic bias. Modern AI alignment models rely heavily on human linguistic structures, reinforcement learning from human feedback (RLHF), and qualitative ethical frameworks. These models degrade rapidly when scaled to non-human or multi-agent networks. Similarly, traditional SETI protocols look for messages encoded in cultural or linguistic formats that assume shared biological or social evolutionary tracks.

This paper introduces a foundational framework for AI-Alien Alignment Principles (AAAP). By treating communication as a problem of non-linear dynamical systems integration, this model establishes Topology, Vector Calculus, …

Interaction Boundary Constraint, Brian Harber

Defensive Publications Series

Compositional AI systems increasingly operate through orchestration layers, retrieval mechanisms, external tooling, routing systems, and probabilistic model behavior. Under these conditions, evaluation often occurs through observable interaction surfaces while direct visibility into the full composition producing an interaction remains limited, partial, or absent at the point of interaction.

This paper defines the Interaction Boundary Constraint as a limit on what can be legitimately inferred from interaction surfaces alone under conditions where producing composition is not fully present at the point of interaction. The constraint distinguishes between reconstruction and compositional presence and constrains the scope of claims that interaction-surface evaluation alone …

The Composite Immersive Projection Observing Configuration That Contains A Centrally Located Square Shaped Projection Configuration And 4 Surrounding Trapezoidal Shaped Projection Configurations Where The Eye Can Be Inserted Into A 3-Dimensional Immersive Projection Observing Space., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a composite immersive projection observing configuration that contains a centrally located square shaped projection configuration and 4 surrounding trapezoidal shaped projection configurations where the eye can be inserted into a 3-dimensional immersive projection observing space. The centrally located square shaped projection configuration will have the capability to provide the central projection observing area for the central field of vision of the user of the composite immersive projection observing configuration. And the 4 surrounding trapezoidal shaped projection configurations will have the capability to provide the surrounding projection observing area for the surrounding field of vision of the user …

Dynamic Synthesis And Insertion Of Personalized, Context-Aware Media Segments, Zebeedee Pedersen

Defensive Publications Series

Systems and techniques are described for dynamically generating personalized, context-aware media segments for insertion into media streams. A system can analyze user profile data in conjunction with the primary media content, such as its audio transcript and visual elements, to establish a specific context. A script generation module may then author a new script based on this context, which a multimodal synthesis model can use to create a new audiovisual segment, for instance, employing voice cloning and conditional video generation. This new segment may then be inserted into the primary media stream, such as by manipulating a streaming manifest file, …

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, …

System And Techniques To Facilitate Probabilistic Attribute-Based Security Policy Conversions, Renato Morais

Defensive Publications Series

Proposed herein is an artificial intelligence (AI) for information technology operations (AIOps)-driven engine and system that provides for the ability to automate the transition from legacy Internet Protocol (IP)-based rules to identity-centric, zero trust policies. In this context, Security Group Tags (SGTs) are used as an illustrative example of such attribute-based policies. The system correlates identity metadata with real-time traffic telemetry and applies a Stability Index (SI) to evaluate whether a legacy rule can be converted to an attribute-based policy with reduced risk of service disruption. The SI considers identity consistency, temporal persistence, and traffic coverage so that conversion recommendations …

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 …

Shadow-Channel Verification For Multi-Body Model Fusion: An Independent-Recompute Witness For Detecting Silent Value-Faults In Interpolated Language-Model Inference, David Lee Wise, Avan Lee Wise

Defensive Publications Series

This publication describes a system and method for verifying the intermediate quantities used in multi-body language-model fusion by means of an independent recomputation channel — a "shadow channel" — that runs parallel to the primary fusion pipeline. In multi-body fusion, a primary model (e.g., a transformer language model) is combined with one or more auxiliary bodies (e.g., an n-gram count model and a nearest-neighbour/datastore retrieval model) by interpolating their per-position probabilities. Conventional fusion consumes each body's reported probability directly and is therefore blind to two failure classes: (a) crash-faults, in which an auxiliary quantity becomes non-finite (e.g., a softmax …

The Vanishing Customer: A Framework For Analyzing Benefit–Burden Decoupling In Attention-Economy And Ai-Companion Transactions, David Lee Wise, Avan Lee Wise

Defensive Publications Series

This publication describes an analytical framework for identifying and evaluating benefit–burden decoupling in digital-service transactions, with particular application to attention-economy platforms and conversational AI-companion systems. The framework treats two observed phenomena — the relocation of the paying party from customer to product (wherein a user's attention, data, or disclosure is monetized while the user is denied the status of a served customer), and the relocation of responsibility from maker to user (wherein a provider retains the financial benefit of a design or deployment decision while attempting, via terms-of-service disclaimers and "sole-risk" framing, to shed the decision's downstream burdens) — as …

Managing A Plurality Of Parallel Batches, Saeed Alrahma, Michael Butler, Matthew Markwell

Defensive Publications Series

Limited accelerator memory on mobile devices may restrict the concurrent execution of parallel large language model workloads. The capacity of the key‑value cache may often constrain the number and length of these tasks. A workload scheduling method is disclosed to manage these memory constraints. When the cache capacity is reached, the state of a specific workload is serialized and moved to an alternative memory location. This process frees cache slots, which allows other parallel tasks to proceed. Once memory is vacated by completed tasks, the serialized state is restored to an accelerator cache for continued processing. This approach enables the …

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 …

Automated Cloud Service Optimization Via Simulated Transitions And Feature Parity Analysis, Paras Mamgain, Sridharshini Saravanan, Jaspreet Singh

Defensive Publications Series

Systems and methods can automate the analysis of cloud service consumption to assist with challenges in selecting between a-la-carte and bundled purchasing models, as manual evaluation may be slow and resource-intensive. A computational framework, which can operate on a computing device such as a server or personal computer, may leverage a large language model to ingest and analyze diverse data sources, for example, billing information, system logs, and service documentation. The system can simulate the financial and operational impact of transitioning to a bundled service, using semantic reasoning to assess functional equivalence beyond simple keyword matching. This automated evaluation process …

Latent Policy Manifold For Governing And Selecting Orthogonal Ai Directives, Nathan Myung-Chul Kim, Abraham Addisie

Defensive Publications Series

A system for managing modular directives for large language models can address challenges associated with redundant or conflicting instructions. The system can create a latent policy manifold by vectorizing a repository of natural language instructions and applying a matrix factorization technique, such as singular value decomposition, to identify an underlying orthogonal basis. This manifold can be used by an offline governance component to analyze and reduce redundancy in the instruction repository and by an online routing engine to select a subset of instructions at runtime. The selected subset of instructions can be both relevant to a given query and mathematically …

System For Identifying Geospatial Features Using Language Model-Guided Segmentation, Mira Leung

Defensive Publications Series

Geospatial information systems can face challenges from incomplete data, such as missing locations for building entrances, and difficulties processing complex natural language queries. A system can dynamically identify geospatial features using a multi-stage process. For example, a large language model can interpret a user's natural language query and an associated image to identify a relevant point of interest. Subsequently, a specialized machine learning segmentation model can analyze a localized region of the image to delineate a specific feature, such as an entrance. This approach can facilitate the on-demand generation of geospatial feature coordinates in response to semantic requests, which can …