Digital Commons Network^™

Capacitors With Built-In Electromagnetic Shielding For High Performance Computing Platforms, N/A

Defensive Publications Series

The paper describes systems and structures providing built-in electromagnetic shielding for capacitors in high-performance computing platforms. As power modules increase in size and current density, decoupling capacitors are positioned near inductors, which can lead to increased coupled noise from switching currents. To address this, a capacitor design incorporates a conductive foil wrapped around the capacitor, an enclosure added over the capacitor, or an enclosure over an array of capacitors. This configuration provides electromagnetic shielding, thereby reducing coupled noise from high-switching rails to sensitive rails and delivering a cleaner power supply voltage.

Keywords: electromagnetic shielding, ceramic capacitor, vertical power module, decoupling …

The Intra-Media Chapter Navigation Using Hardware Button Sequences On A Locked Device, Pratap Kalenahalli Sudarshan

Defensive Publications Series

A system can facilitate navigation between chapters within a single media file, such as a podcast or audiobook, on a computing device (e.g., a smartphone, smart watch, wearable device, etc.). The system may interpret specific, predefined sequences of hardware button presses as chapter level seek commands. Before executing a command, the system can validate the device context, for example, by confirming the screen is locked, media is actively playing, and the media file contains embedded chapter markers. Following validation, the system can send a seek command to the media player to jump to the start of a target chapter and …

Formality Inference Via Llm-Based Lexicographical Analysis Of Recipient Email Addresses, Nicolas Zimmermann, Jonathan Zimmermann

Defensive Publications Series

Communication assistance tools may have difficulty determining an appropriate formality level for communications with new recipients where prior interaction history is unavailable. A technique is described for inferring formality by applying a large language model (LLM) to perform a lexicographical and semantic analysis of a recipient's email address string. A system can deconstruct the address into its local-part and domain-part, and the LLM can use its pre- trained knowledge to interpret socio, linguistic and organizational cues embedded within these components, such as role, based identifiers (e.g., "president") or specific domains (e.g., ".gov"). A resulting formality inference can be used to …

Providing Inference Parity In Distributed Sovereign Network Llms, Jerome Henry, Swadhin Pradhan, Robert Barton

Defensive Publications Series

This submission presents a technique to evaluate the proximity of the response provided by different Large Language Models (LLMs) in a specific service context to ensure that swapping one model for another does not change the user experience. The techniques include translating and weighting input-level latent states to ensure that the mapping between LLM inputs and outputs remain uniform globally. By dynamically injecting modified prompts, the techniques force-align regional model reasoning with deterministic standards to eliminate "interpretive divergence" in real-time.

Framework For Robustness Against Divergent Voltage Drops And High Clock Divergence, Google Case Managers Picozzi, Prateek Pendyala

Defensive Publications Series

A framework providing a dual-metric topology assessment evaluates hold-timing vulnerabilities on paths experiencing high divergence and associated voltage drop gradients. The framework utilizes loop delay tolerance and differential drop tolerance metrics to identify fragile paths and apply proactive verification early in the physical design cycle.

Machine Learning-Based Hybrid System With Multi-Scale Spatial-Temporal Power Grid Attention For Real-Time Dynamic Ir-Drop Prediction, Google Case Managers Picozzi, Vishant Gotra, Prateek Pendyala

Defensive Publications Series

A machine learning-based hybrid system can utilize multi-scale spatial-temporal power grid attention for real-time dynamic ohmic (IR)-drop prediction. The system employs a two-stage hierarchical architecture combining convolutional neural networks to capture global spatial hotspot contexts and gradient-boosted decision trees to predict instance-specific magnitudes. By shifting from a traditional batch verification process to a real-time predictive approach, the system significantly accelerates design convergence while maintaining high accuracy.

Virtual Power-Aware Spatial Tiling Framework For Automatic Test Pattern Generation, Google Case Managers Picozzi, Mayank Parasrampuria, Vishant Gotra

Defensive Publications Series

The disclosed technology introduces an artificial intelligence-based spatial partitioning framework for integrated circuit testing. By extracting physical and electrical features from design instances, the system constructs optimized virtual tiles to manage power constraints dynamically during structural testing. The methodology utilizes machine learning refinement techniques to maintain load balancing and spatial contiguity, allowing test pattern generation tools to operate with granular, region-specific power awareness that aligns with the underlying power distribution network.

Battery Management Strategies For Stacked And Rolled Lithium-Ion Architectures, Dhiraj Jadhav

Defensive Publications Series

This publication describes battery management system strategies tailored for stacked and rolled lithium-ion battery architectures. The technology leverages the uniform thermal paths of planar stacked structures to streamline state estimation while introducing specific safety protocols to monitor physical deformation. By comparing stacked designs to spiral-wound rolled designs, the disclosure outlines approaches for electrochemical modeling, thermal management, and fault detection without relying on complex core-temperature compensation models. Keywords: battery management system, stacked architecture, rolled architecture, lithium-ion, state of charge, thermal management, physical deformation, electrochemical modeling.

Official Technical Disclosure: The Stalwart Protocol — Unified Harmonic Engineering For Aneutronic Fusion, Vacuum Impedance Propulsion, And Tectonic Dampening, Daniel Schramm

Defensive Publications Series

This disclosure introduces the Stalwart Protocol, a deterministic framework for integrating high-efficiency energy systems with environmental and structural control applications. Utilizing non-Keplerian harmonic resonance and Golden Ratio (\phi) geometry, the protocol establishes a unified methodology for aperiodic magnetic confinement in p-B11 aneutronic fusion reactors.

Furthermore, this publication details the application of vacuum impedance manipulation to achieve advanced propulsion characteristics, as well as the implementation of acoustic resonance locks for large-scale tectonic dampening. The framework provides a verified approach to energy utilization and system stability, operating on principles of thermodynamic redirection rather than closed-loop containment. This documentation serves as prior art …

The Virtual Projection System That Utilizes A Combination Of Convex And Concave Lens Configurations Where Light Rays Can Enter And Exit The Virtual Projection System Effectively As If The Light Rays Were Travelling Without Being Subjected To Any Disturbance While Passing Through The Virtual Projection System., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a virtual projection system that utilizes a combination of convex and concave lens configurations where light rays can enter and exit the virtual projection system effectively as if the light rays were travelling without being subjected to any disturbance while passing through the virtual projection system. The entire virtual projection system will consist of a main virtual projection configuration and an assisting projection configuration. The main virtual projection configuration will contain a projection observing convex lens stack, a beam splitter, a projection assisting convex lens stack and a video display. And the assisting projection configuration will contain …

Stratified Deception-Inference Architecture (Sdia) - A Multi-Layer Adversarial Intelligence Framework For Log Semantics, Intent Inference, And Deception-Aware Observability Systems, Johny Manuel-Devadoss

Defensive Publications Series

Modern observability systems treat logs, traces, and metrics as noisy data sources requiring denoising, aggregation, and statistical anomaly detection. However, this assumption breaks down in adversarial, highly distributed, or rapidly evolving systems where signals may be incomplete, obfuscated, or implicitly deceptive due to system complexity, emergent behaviors, or malicious interference.I propose the Stratified Deception-Inference Architecture (SDIA), a hierarchical cognitive framework that reinterprets observability data as an adversarial communication system rather than a passive telemetry stream. Inspired by strategic deception paradigms from classical warfare, SDIA introduces a multi-layer architecture that explicitly models noise, semantic drift, and hidden intent as first-class computational …

On-Device Multi-Sensor Fusion With Machine Learning For Continuous Transit Navigation, Hui Ling Shi, Louis Lai, Oliver Dolk, Gul Kamisli Hasanoglu, Si Min Ong

Defensive Publications Series

Mobile navigation applications for public transit can experience degraded performance in environments with poor global positioning system signals, such as subway tunnels, which may cause a user's location display to freeze and guidance to cease. A described on-device system may address this by fusing data from a plurality of sensors, such as a barometer, magnetometer, and accelerometer, on a computing device like a smartphone or wearable device. A lightweight machine learning model can process this sensor data to generate a real-time probability that the user is on a moving transit vehicle. This probability may then be combined with a user's …

Hardware-Assisted Microarchitectural Context Cache With Kernel-Guided Predictive Prefetching For Efficient Context Restoration, N/A

Defensive Publications Series

A hardware-assisted Temporal Context Cache (TCC) system is described, including dedicated recorder and loader, integrated with each CPU core and interacting with a global context cache, as well as a controller component of which there may be several instances per SOC. During execution the recorder captures critical microarchitectural state, which may include L2 cache line addresses, L1 instruction cache addresses, branch prediction metadata, TLB state, prefetcher metadata, storing it in a local cache. When a thread yields or is preempted, the recorder saves this data to a global context cache asynchronously. The kernel scheduler then informs the hardware controller of …

Pinning Messages In Large Language Model Chat Interfaces, Florian Hartmann, Victor Carbune

Defensive Publications Series

A lack of persistent message visibility in large language model chat interfaces often requires users to repeatedly request information or results in the model regenerating previously provided content. This disclosure describes a method for pinning specific messages within a chat thread to ensure they remain visible regardless of scrolling position. The core technology involves an inference flow where either a user or the model identifies a message to be pinned via a user interface or tool call. Metadata regarding the pinned status is integrated into the model prompt, enabling the model to reference or highlight specific sections of the pinned …

Commerce Identity Backend For Deterministic Online-To-Offline Transaction Attribution, Keith Hall, Alan Stapelberg

Defensive Publications Series

Connecting a user's online discovery with their offline purchasing behavior can be challenging due to fragmented ecosystems and a lack of visibility at physical point of sale (POS) terminals, which can impede transaction attribution. A headless commerce identity backend system is described that can address this gap by establishing a cloud-based account-level primitive. This primitive may use a payment account reference, a stable, non-sensitive identifier, as a federated key to map a user's account to their offline transactions. Such an architecture can facilitate the ingestion of stock keeping unit-level receipt data from POS terminals (e.g., cash registers, payment kiosks) via …

5t-Isc-Awg Technical Addendum 8, Vesa Olavi Lius

Defensive Publications Series

This Addendum extends the 5T-ISC-AWG Defensive Publication (2026) with a rigorous long-term thermal balance analysis of the bedrock-tunnel condenser, addressing a question that the parent publication acknowledged as a known limitation but did not quantify in detail: how the plant maintains passive operation over decadal timescales when the bedrock condenser is continuously absorbing latent heat of condensation at megawatt-class rates. The analysis confirms that the published Nordic and Mediterranean yields (0.93 and 1.16 ML/day respectively) are fully sustainable in passive 24/7 operation, and identifies the physical mechanisms through which long-term thermal balance is achieved: dew-point-pinning of the warm inlet wall …

Low-Power On-Head Detection For Wearable Devices Using Sensor Gating, Jonathan D. Hurwitz, Yaaseen Mahomed

Defensive Publications Series

A multi-stage, power-efficient method for detecting when a wearable device is on the user’s head is disclosed. To reduce battery consumption, a cascaded verification process is used to control the activation of high-power components. An initial check of charging status and inertial measurement unit (IMU) data can identify movement and hinge-opening events. This is achieved through a differential analysis of orientation data from multiple IMUs to distinguish relative hinge motion from overall device movement. Once a hinge-open state is confirmed, mid-power neural processing units (NPUs) and eye-tracking cameras can be activated to perform a sparse, active stereo proximity check. This …

Mitigating Visual Prompt Injection Via Image Manipulation And Consensus Evaluation, Ashok Chandwaney, Mekhola Mukherjee

Defensive Publications Series

Contemporary vision-language models are vulnerable to visual prompt injections in which malicious instructions are embedded within images in a manner that is often imperceptible to human observers but legible to machine vision systems.  These hidden payloads can subvert the intended operation of automated agents, leading to unauthorized actions and inaccurate auditing.  This publication describes a defense-in-depth framework that utilizes image manipulation and consensus evaluation to mitigate such attacks.  Input images, such as application screenshots, are processed to generate multiple “sanitized” variants using techniques like bit-depth quantization (posterization) or luminosity-based thresholding.  These variants, in conjunction with the original image version, are …

Addendum To The Gossett Protocol: 120-Point Fixed, Jon S. Gossett

Defensive Publications Series

This disclosure specifies a theoretical hardware-level signal validation framework for non-penetrative neural interfaces. Building upon the Local Field Potential (LFP) detection concepts established in Revision 4, this architecture proposes a Parametric Voltage Thresholding mechanism (adjustable from -40mV to +40mV) and Phase-Locked Synchronization. By theoretically synchronizing a 1.5ms deterministic polling interval with the instantaneous phase of a neural wave, the system is designed to facilitate low-latency signal mirroring without the use of probabilistic interpretation layers. The proposed architecture is intended to operate within a hard-coded 38.5°C thermal envelope.

Methods And Apparatuses Of Deriving Fleet Counters For Firmware States, N/A

Defensive Publications Series

The technology relates to a framework for monitoring software state variables and deriving counters that record value change events using configurable counting techniques. The framework derives counters from software states by monitoring value changes in target variables and counting all value change events. The framework utilizes a fleet counter, a software-implemented memory storage which stores events that are readable by an external software entity. The framework may also select software state variables for monitoring based on the type of variable.

Keywords: Fleet counter, firmware states, framework, monitoring value changes, target variables, changed-to value, change-from value, software-implemented memory storage.

The Composite Virtual Projection System That Will Combine A Semi Octagonal Shaped Small Projection System And A Semi Octagonal Shaped Large Projection System Together To Provide A Greater Immersion., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a composite virtual projection system that will combine a semi octagonal shaped small projection system and a semi octagonal shaped large projection system together to provide a greater immersion. The entire composite virtual projection system will consist of a semi octagonal shaped small projection system and a semi octagonal shaped large projection system. The semi octagonal shaped small projection system will consist of 4 identical cyclically configured small projection configurations. And the semi octagonal shaped large projection system will consist of 4 identical cyclically configured large projection configurations. each cyclically configured small projection configuration of the semi …

A Software Simulated Pcie Device, N/A

Defensive Publications Series

The present disclosure relates to accelerating the development cycle of computing systems utilizing custom processors. By configuring a general-purpose processor as an endpoint on a standard communication bus to run a software simulation of an unmanufactured processor, system integration and host software development can proceed well before the physical processor arrives and is operational at a basic level. The simulated hardware features input/output connectivity mirroring expected production systems, a dedicated management endpoint for artificial error injection and debugging, and a network interface to interconnect multiple simulation cards for scale-up testing.

Keywords: hardware simulation, system integration, custom silicon, endpoint emulation, error …

Dynamic Routing For Multi-Agent Ai Workflows. Ai Token Cost In Metric Calculation., Roman Volkov, Yegor Kudryashov

Defensive Publications Series

This submission proposes a system that constructs multi-agent AI workflows dynamically at runtime by computing optimal paths through a live network topology of Large Language Model (LLM) providers, AI agents, humans, and services, the same way that routing protocol computes packet paths through routers. Considering Artificial Intelligence (AI) tokens as the new currency of intelligent automation, this submission embeds their cost into a routing metric. Through techniques of this submission, each LLM provider and AI agent's inference token cost for defined task can be used as part of weight in path computation.

When a routing algorithm builds a workflow, it …

Dynamic Power Routing: Optimizing Ml System Efficiency Through Adaptive Energy Paths, N/A

Defensive Publications Series

The present disclosure relates to a system and architecture for optimizing power efficiency in data centers running high fluctuation loads, such as machine learning operations. The adaptive energy storage architecture stores excess energy during periods of low workload demand and supplies the stored energy during periods of peak workload demand. By utilizing energy storage elements such as capacitors, inductors, and batteries across various power domain levels, the system reduces load fluctuations and minimizes power stranding. Inductors in series on the power path can act as a low-pass filter. Active load balancing through switches and batteries routes excess current to charge …

Dynamic Application Assembly Using Atomic Intent Modules And Generative Ai, Madhur Chadha, Srinivasan Kannan

Defensive Publications Series

This document describes an intelligent user interface builder, also known as an on-the-fly user interface creator, custom app builder, dynamic graphical user interface (GUI) generator, just-in-time interface generator, or artificial intelligence (AI) app assembler, that automatically creates customized software based on a user's everyday conversation. Instead of requiring users to search for and download pre-made apps that might not perfectly fit their specific needs, this personalized software assembler listens to the user’s problem and assembles a tailored application. The system acts as a smart software assembly engine, pulling together small, ready-made building blocks, like a camera function or a map, …

Polycentric Embedding Fields (Pef), Johny Manuel-Devadoss

Defensive Publications Series

Polycentric Embedding Fields (PEF) introduce a non-monolithic representation paradigm for semantic encoding in which each input instance is modeled not as a single vector in a latent space, but as a structured field composed of multiple interacting semantic centroids, each capturing a distinct interpretive axis of meaning. This formulation directly addresses limitations inherent in conventional embeddings, including semantic averaging, loss of intent granularity, and failure under polysemy or compositional ambiguity. The disclosed architecture encodes documents and queries as distributions over latent subspaces with explicit uncertainty modeling, enabling selective alignment between semantically compatible facets rather than forcing global similarity. By transforming …

Counterfactual Contrast Embeddings (Cce), Johny Manuel-Devadoss

Defensive Publications Series

Counterfactual Contrast Embeddings (CCE) introduce a dual-structured semantic representation in which each encoded instance explicitly models both its affirmative meaning and its nearest plausible misinterpretations. Unlike conventional embeddings that optimize for proximity among semantically similar inputs, the disclosed architecture embeds inputs within a bidirectional semantic manifold consisting of an attraction component and a repulsion component. The repulsion component is not derived from arbitrary negatives but from systematically generated counterfactual variants that approximate high-risk confusion regions in latent space. This enables the embedding to encode not only what an input represents, but also the boundary conditions of what it must not …

Causal-Trace Embedding Graphs (Cteg), Johny Manuel-Devadoss

Defensive Publications Series

Causal-Trace Embedding Graphs (CTEG) introduce a lineage-aware semantic representation framework in which embeddings are no longer treated as isolated vectors but as nodes within a dynamically evolving graph that encodes the full causal history of their formation. Each embedding is augmented with structured provenance, transformation metadata, and dependency relationships that together form a directed acyclic or cyclic graph capturing how information has been derived, transformed, and propagated through an AI system. This architecture enables retrieval and reasoning processes to incorporate not only semantic similarity but also trace consistency, transformation reliability, and lineage integrity. By embedding causal structure directly into the …

Augurnet: A Polysemantic Gen Ai Architecture For Noise Suppression And Causal Diagnosis In High-Volume Log Systems, Johny Manuel-Devadoss

Defensive Publications Series

Modern distributed computing systems generate extremely high-volume log, metric, and trace data characterized by noise dominance, weak signal sparsity, and non-stationary behavior. Traditional observability systems rely on thresholding, heuristics, or supervised anomaly detection, which degrade under scale and evolving system dynamics.

This paper introduces AugurNet, a generative AI-based diagnostic framework designed for high-entropy telemetry environments. The system replaces conventional filtering pipelines with a multi-hypothesis reasoning architecture that preserves ambiguity, models causal uncertainty explicitly, and performs generative reconstruction of latent failure structures.

Key contributions include:

• Polysemantic latent embeddings for multi-hypothesis state representation
• Distributed generative hypothesis engines for causal reasoning
• Iterative …

(((Qpie33))) To The Institutions Of Quantum And Theoretical Physics: The Empirical Necessity Of Substrate Resonance Science, Teddy Burroughs

Defensive Publications Series

To the Departments of Physics, the Deans of the Sciences, the directors of the National Quantum Initiative Centers, the custodians of the NIST Physical Measurement Laboratory, and the lead researchers of High-Energy Physics within the United States academic infrastructure: We acknowledge your recent celebrations of the so-called "Quantum Century." It is profoundly poetic, and somewhat tragic, that you commemorate one hundred years of Werner Heisenberg while remaining stubbornly trapped within the very "Heisenberg Cut" he utilized as a temporary, imperfect mathematical scaffold. Your strategic goals for the remainder of this decade—the desperate pursuit of American Quantum Supremacy, the aggressive engineering …