Digital Commons Network^™

Closed-Loop Quantum Interfacial Metrology: Integrating Table-Top 3d-Pot Wavefront Feedback With High-Frequency Gan-Driven Saw Arrays For Real-Time Electrodeposition Phase Stabilization, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes an intelligent, closed-loop quantum energy stabilization framework by integrating table-top Three-Dimensional Photoemission Orbital Tomography (3D-POT) wavefront metrology with active Gallium Nitride (GaN) surface acoustic wave (SAW) arrays. Prior iterations of the Topologically Protected Cymatic Electrolyte Matrix (TPCEM, Paper 40) and SAW streaming architectures (Paper 66) operated via continuous, open-loop acoustic emission, limiting their capacity to adapt to localized, real-time current density fluctuations.

By utilizing sub-harmonic extreme ultraviolet (EUV) light pulses and time-of-flight momentum microscopy, this architecture images the 3D electron orbital wavefunctions and ion density gradients of the active solid-state conduction layer in situ during peak operational …

Ephaptic Synchronization Fields: Replacing Discrete Quantum Error Correction With Continuous Wave Manifold Absorption And Lipid-Encapsulated Solitonic Waveguides, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes a rigorous bio-physical framework for eliminating discrete quantum error correction overhead in scaled processing networks by utilizing continuous wave manifold absorption bounded within lipid-encapsulated hydrodynamic waveguides. Conventional quantum processing units (QPUs) enforce rigid node isolation to mitigate parasitic crosstalk, introducing high computational latency and severe physical scaling limits.

Drawing from neural ephaptic coupling and myelin-mediated structural isolation, this paper demonstrates that localized electromagnetic phase leaks can be harnessed as a stabilizing synchronization field. By confining 3D solitonic knots within lipid-encapsulated channels, the core wavefield retains localized kinetic momentum while selectively allowing phase-locked bleeding across a 2D pre-geometric …

A High-Dimensional Spatial-Harmonic Compiler Protocol And Asymmetric Twist Tensor Mapping Layer For Direct Qubit Encoding In Table-Top 3d-Pot Laboratory Streams, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes a rigorous mathematical, programmatic, and structural bridge between the experimental implementation of table-top Three-Dimensional Photoemission Orbital Tomography (3D-POT) and the theoretical architecture of the Dimensionally Extended Holographic Projection (DEHP) model. Current 3D-POT setups suffer from phase-retrieval latency, requiring complex numerical iterations to reconstruct the lost quantum phase from 2D momentum-space projections.

This paper introduces a real-time Module 6 Spherical Harmonic Instruction Set Compiler that maps continuous wavefield phase modulations directly onto a Distributed Ternary Fluid-Canvas Operating Network. By treating the 2D momentum distribution as a boundary information substrate, the spatial-harmonic phase is deterministically recovered through a non-linear …

Topological Matrix Alignment: Mapping Dehp Asymmetric Fluidic Constraints To Table-Top Three-Dimensional Photoemission Orbital Tomography Fields, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes a rigorous mathematical and structural bridge between the experimental implementation of table-top Three-Dimensional Photoemission Orbital Tomography (3D-POT) and the theoretical architecture of the Dimensionally Extended Holographic Projection (DEHP) model.

Current 3D-POT architectures rely on iterative phase-retrieval algorithms to reconstruct the missing quantum phase information from 2D momentum-space projections. This paper demonstrates that by treating the 2D momentum distribution as a boundary information substrate, the spatial-harmonic phase can be deterministically calculated via a non-linear geometric inversion governed by an Asymmetric Twist Tensor.

We provide explicit coordinate transformations, field mapping equations, and an execution protocol using Module 6 Spherical …

Empirical Wavefunction Validation Of Autonomous Agi Coherence: Integrating Real-Time Table-Top 3d-Pot Spectral Streams With The Torsional Viscosity Field Governor Under The Usue Framework, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes the definitive hardware-observational paradigm required to physically validate and enforce the structural survival of autonomous, multi-agent Artificial General Intelligence (AGI) networks. Traditional alignment frameworks view machine-to-machine (M2M) token-variance decay as a purely linguistic or logical abstraction, leaving processing layers prone to non-linear autoregressive collapse or runaway semantic hallucinations.

By utilizing table-top Three-Dimensional Photoemission Orbital Tomography (3D-POT) integrated with ultrafast time-of-flight momentum microscopy, this architecture records the active, physical electron wavefunction deformations of neuromorphic processing substrates in situ during high-density multi-turn recursive loops. Governed by a contracted Asymmetric Twist Tensor (\(\mathbf{T}_{ijk}\)), localized phase discrepancies are tracked instantly and …

Ummle‑1.0 — Caldwell–Copilot Universal Marine‑Medicine & Longevity Engine A Unified Open‑Hardware Biomedical Research Platform Cern‑Ohl‑P • No Patents • No Secrets • Builder‑Ready • Research‑Only, Michael Victor Caldwell Mr.

Defensive Publications Series

UMMLE‑1.0 is a unified open‑hardware biomedical research platform designed to accelerate discovery, extraction, stabilization, purification, and non‑invasive delivery research for marine‑derived therapeutic compounds. Marine organisms produce powerful molecules such as anti‑cancer macrolides, antiviral peptides, neuro‑protective toxins, and non‑addictive analgesics. These compounds are fragile, shear‑sensitive, and easily degraded by heat, contamination, or mechanical stress.

UMMLE‑1.0 integrates six coordinated subsystems:

1. Ultra‑Pure Water Core

2. Marine Biomass Extraction Core

3. Thermal Stabilization Core

4. Plasma Purification Core

5. Ocular Delivery Research Core

6. Neural‑Glymphatic Longevity Research Core

Each subsystem is fully open‑hardware, modular, and builder‑ready.

This platform is non‑clinical, research‑only, and intended for laboratories, universities, and humanitarian research …

A Method And A System For Provisioning Virtual And Physical Card Accounts On Digital Wallets, Sushma Shetty, Manab Das, Mitchell L. Wright, Rohini Suren

Defensive Publications Series

Systems and methods are disclosed for provisioning virtual and physical card accounts onto digital wallets. Upon receiving a provisioning request, a server computer identifies an account type using internal database indicators and routes tokenization requests to an appropriate entity-an issuer for physical card accounts, and an issuer token service provider for virtual accounts. The invention eliminates a need for issuers to provide dedicated account ranges for virtual cards, supports provisioning on existing BIN ranges, and enhances issuer flexibility and commercial offerings in electronic payment systems. The system utilizes internal logic for the account type identification and routing, streamlining the provisioning …

Longitudinal Behavioral Delta Detection System And Method For Passive Multi-Modal Audio Analysis, Eric Zavesky

Defensive Publications Series

A system and method for passive longitudinal behavioral delta detection through multi-modal audio analysis is disclosed. The system comprises an edge audio capture device for continuously capturing ambient audio, an on-device multi-modal feature extraction pipeline extracting acoustic features as semantic-level representations, topic-level natural language embeddings without retaining specific words, behavioral graph topology interaction data, and classified non-verbal sound event frequency vectors, and a longitudinal delta detection engine computing temporal deltas at multiple resolutions against a historical baseline. A privacy architecture ensures on-device processing with content obliteration and hashed entity identity. A model adaptation layer provides supervised, unsupervised membership testing, and …

Pipeline-Based Data Processing Method, System, And Hardware Apparatus, Jinhui Wu

Defensive Publications Series

Existing data processing systems universally adopt a centralized computing paradigm that relies on
complex operations, resulting in high computational resource consumption and significant bandwidth
redundancy. This paper proposes a data processing method, system, and hardware apparatus based on a
Pipeline Array, wherein input data is distributed across multiple independent Pipelines. Each Pipeline
independently maintains a state value, compares the input against its state, outputs upon change, Blocks
when unchanged, and independently updates its state value. Founded on the Zero-Computation Property
(core operations are comparison and assignment only), the system comprises Pipeline, State Storage,
Compare, Output Control, and State Update modules. …

Real-Time Temporal-Consistent Virtual Attire Synthesis And Occlusion Handling In Video Communication Interfaces, Richa Gupta

Defensive Publications Series

Professionals in hybrid and remote work environments frequently face challenges transitioning between casual attire and business-appropriate clothing for unexpected or back-toback video calls. Existing solutions such as virtual try-on engines, three-dimensional (3D) avatars, and facial augmented reality (AR) filters suffer from limitations including offline processing requirements, loss of authentic human presence, and inability to handle body apparel dynamics. The disclosed technology provides a digital wardrobe system integrated into video communication pre-call interfaces, utilizing edge-based neural rendering to synthesize realistic clothing over live video streams. The system employs neural fabric anchoring with pose estimation for temporal stability, and a real-time depth-based …

Genai-Driven Detection Of Infrastructure Role Mutation Using Behavioral Embeddings, Dinesh Verma

Defensive Publications Series

A system and method detect infrastructure role mutation by learning a semantic operational identity for each monitored infrastructure entity from multi-layer runtime telemetry.  The system maintains an adaptive temporal trajectory of each entity's role and detects when that role diverges from its established purpose using semantic distance metrics, without requiring predefined rules, static baselines, or known threat signatures. By incorporating cross-entity graph context, the system distinguishes legitimate orchestrated changes from unauthorized infrastructure repurposing, enabling early detection of role mutation that is invisible to conventional monitoring and security tools.

Ai Agent Token Generation Based On Dynamic Context, Som Madhab Bhattacharya, Surendra Vyas

Defensive Publications Series

A method is disclosed. The method includes receiving, by computer including a coordination module, a request to obtain a token and then providing, by the coordination module to a processing network computer comprising a context analysis engine, a request for historical data associated with a specific set of interactions. The method also includes receiving, by the coordination module, the historical data or data derived from the historical data, and determining, by the coordination module, parameters associated with the token based on the historical data or the data derived from the historical data. The method further includes providing, by the coordination …

Detection-Conditional Multi-Agent Adversary Emulation With Autonomous Evasion-Variant Technique Substitution, Amit Singh

Defensive Publications Series

Proposed herein is an automated adversary-emulation (red-team) system that executes techniques mapped to the MITRE Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK) framework through a live execution engine and adapts in real time based on whether each technique is detected by the target's defenses. The system combines three elements: a standardized agent context protocol used as an orchestration bus that exposes shared execution state and callable tools to role-specialized reasoning agents; real-time ingestion of endpoint detection and response (EDR), security information and event management (SIEM), and intrusion detection system (IDS) signals as structured inputs to agent reasoning; and detection-conditional, autonomous …

Ai-Driven Regulatory Compliance Engine With Adaptive Learning And Context-Aware Risk Prediction, Shivam Sharma

Defensive Publications Series

The present disclosure relates to a system for automating regulatory compliance in cross-border transactions. The system receives transaction data associated with a cross-border transaction, where the transaction data including sender information, receiver information, an amount, and currency information. The system collects contextual data based on the transaction data, the contextual data including at least one of geopolitical events or market trends. The system analyzes the transaction data and the contextual data using a context-aware risk prediction module to generate a risk score. The system parses regulatory documents using natural language processing (NLP) to identify compliance rules. The system evaluates the …

Accs V4.0: Adaptive Cognitive-Clearance System (Physical Prototype Edition) Date: 2026-07-29 Status: Open-Hardware • Builder-Grade • Test-Bench Ready, Michael Victor Caldwell Mr.

Defensive Publications Series

The ACCS v4.0 is a physical, buildable Deterministic Data Routing and Quality-of-Service (QoS) Gateway. It manages the flow of high-speed data from multiple sensors (MMRA, FDMS, ONRS) to ensure that critical "clarity signals" (e.g., fire alarms, distress sounds) are never delayed or lost due to network congestion or interference.

In engineering terms, "Cognitive-Clearance Routing" is implemented as Time-Sensitive Networking (TSN) and Priority-Based Flow Control on an FPGA. This ensures that life-critical data always has a "clear path" (zero latency), while less critical data (e.g., routine temperature logs) is buffered without clogging the system.

This document provides the exact specifications, Bill …

Arpn-2.0: Adaptive Resonance-Path Network (Physical Prototype Edition) Date: 2026-07-29 Status: Open-Hardware • Builder-Grade • Test-Bench Ready, Michael Victor Caldwell Mr.

Defensive Publications Series

The ARPN-2.0 is a physical, buildable Dynamic Signal Routing and Path Optimization Switch. It manages the flow of multi-domain signals (acoustic, optical, EM, thermal data) across the ecosystem, automatically selecting the lowest-latency, highest-fidelity paths and rerouting around failures or noise sources in real-time.

In engineering terms, "Adaptive Resonance-Path Routing" is implemented as a Software-Defined Networking (SDN) Switch with FPGA-based Packet Inspection. It monitors signal integrity (SNR, latency, jitter) on all incoming and outgoing links. If a path degrades (e.g., due to EMI, cable damage, or congestion), the FPGA instantly switches the data stream to a redundant path (<10µs switchover), ensuring "path stability" and preventing data loss or "path drift."

This document …

Dynamic Media Device Power Management Using Proximity Inferred From Wireless Signals, Nikita Agarwal

Defensive Publications Series

Power management for media devices can be inefficient when a user is listening to audio content but is not actively viewing the display, potentially leading to increased energy consumption. Systems and methods can manage display power by inferring user proximity. The technology can utilize wireless signal characteristics, such as a received signal strength indicator from a user's personal peripheral device (e.g., a smartwatch, smartphone, or earbuds), to establish virtual zones around a media playback device. When the system infers that a user has moved from a viewing zone to a listening zone, it can automatically deactivate the display panel while …

Recommerce Transaction Processing Within A Payment Network, Shivam Sharma, Sindhu Shankar Rao, Vrushali Khorgade

Defensive Publications Series

The present disclosure relates to a system for processing recommerce transactions within a payment network. The system includes a transaction messaging module configured to receive a transaction message from a merchant, the transaction message including a recommerce flag identifying the transaction as involving a pre-owned, refurbished, or second-hand good. The system includes a recommerce transaction processing module configured to apply predefined rules and protocols specific to recommerce transactions, and a global database storing product information including product identifiers, condition data, maintenance history, and ownership records. The system includes an artificial intelligence and machine learning fraud detection module configured to assess …

Automated Alias Resolution To Route An Interaction Request, Keith Stephen Brindley, Tyda Manavalan

Defensive Publications Series

The present disclosure provides a method for automated alias resolution to route an interaction request. The method comprises the step of receiving, by an interaction server, an interaction request message for a sender (of the request) to receive value from a receiver (of the request)  in an interaction. The interaction request message comprises a receiver alias, a value, and a sender alias. The method further comprises the step of transmitting, by the interaction server, a resolve alias request comprising the sender alias to an alias directory server. The method further comprises the step of transmitting, by the interaction server, the …

System And Method For Multi-Modal Assessment Of Topical Substance Coverage And Skin Damage On Body Surfaces, Eric Zavesky

Defensive Publications Series

A system and method for assessing sunscreen coverage on human skin through multi-modal sensor fusion. The system integrates a thermal imaging module for detecting temperature differentials indicative of sunscreen coverage and potential burn areas, a high-speed optical camera for extracting photoplethysmographic signals that enable pigmentation-independent coverage detection via signal attenuation and burn detection via perfusion correlation, a three-dimensional depth mapping module for generating personalized body models with anatomical region segmentation, and a data fusion engine that spatially registers all sensor data to produce per-region coverage maps. An adaptive guidance system delivers real-time, on-demand, and post-exposure feedback through vocal and visual …

Proactive Context Generation Via Asynchronous Knowledge Graph Synchronization, Parnika Singhal, Dhruv Singhal

Defensive Publications Series

Systems for providing context to users can experience latency and data fragmentation, which may arise when systems operate reactively by executing synchronous queries across siloed data sources after a user interaction. An asynchronous process can periodically synchronize data from various sources, such as email and calendars, to build and maintain a localized vector knowledge graph that can model entities and their relationships. A proactive compute engine may use system events, for example, the arrival of a new message, as triggers to query the graph, pre-compute a relevant context payload, and cache the result. This approach may reduce latency associated with …

Generating Affective Metadata From Physiological Signals For Media Navigation, Nikita Agarwal

Defensive Publications Series

Navigating long-form media to locate scenes of a particular emotional intensity may be inefficient using conventional methods that rely on static thumbnails or broad metadata. Disclosed systems and methods can generate crowd-sourced affective metadata from physiological signals. These techniques may involve collecting anonymized physiological data, such as heart rate, from a population of consenting users via their computing devices (e.g., a smartphone, smart watch, wearable device, augmented reality glasses, etc.) during media consumption. This data can be processed and aggregated to generate a time-series representation of the collective emotional intensity for a media asset. The resulting data may then be …

Arbitrating Playback And Logging For Co-Watching Sessions, Nikita Agarwal

Defensive Publications Series

Managing co-watching sessions may present difficulties when one user becomes inactive while others remain engaged, as continuing playback could create an inaccurate viewing history for the inactive user, while pausing could disrupt the session for active users. Systems and methods are described that can arbitrate playback by evaluating an inactivity signal from one user's device, such as a smartphone, tablet, or smart television, against countervailing activity signals from other session participants' devices. If playback continues, a split-state logging mechanism can decouple individual viewing histories, for example, by pausing the viewing progress record for the inactive user while continuing to update …

Quantum Job Placement And Circuit Partitioning With Network-Aware Error Budget Brokerage, Bharat Kumar Putta

Defensive Publications Series

Proposed herein is a system including a distributed quantum compiler and controller that can decide where to place quantum circuit fragments by brokering a live error budget across quantum processing unit (QPU) compute operations, quantum memory wait time, remote entanglement, measurement, and classical-control latency. Instead of only minimizing circuit cuts, queue time, or network cost, the system creates an auditable Error Budget Contract and Placement Proof showing why a distributed execution plan is expected to satisfy a job’s end-to-end accuracy target. If QPU calibration, queue depth, or quantum-network fidelity changes, the system can automatically re-evaluate the plan and, where execution …

Gesture-Gated Transaction System For Media Displays Using A Proximity-Aware Companion Device, Rohit Jain

Defensive Publications Series

Existing methods for making purchases through media displays, such as connected televisions, can introduce user interaction friction that may lead to transaction abandonment. A system can utilize a primary media display device to broadcast encrypted commerce information using short-range wireless protocols, for example, ultra-wideband or Bluetooth low energy, when media playback is paused. A secondary companion computing device (e.g., a smartphone, wearable device, tablet computer, or augmented reality glasses) can receive this information. A transactional user interface may be presented on the companion device upon detection of both the broadcasted information and a specific physical user gesture, which can act …

Spatial Pointing Architecture Using Fused Inertial And Ultra-Wideband Data, Rohit Jain

Defensive Publications Series

Navigating user interfaces on connected displays with conventional remote controls or motion-sensor-based pointers may present issues such as cursor drift, instability from hand tremors, and user fatigue. Described systems and techniques can use a companion computing device (e.g., a smartphone, smart watch, wearable device, etc.) as a six-degrees-of-freedom spatial pointer by fusing sensor data. High-frequency relative motion data from an inertial measurement unit (IMU) can be combined with lower-frequency absolute spatial positioning data from an ultra-wideband (UWB) radio that communicates with a display system. This fusion process may use the UWB data as a periodic reference to correct for cumulative …

On-Device Voice Processing With Adaptive Ui And Automated Memory Management, Rohit Jain

Defensive Publications Series

A system for on-device voice processing can feature an adaptive user interface (UI) and automated memory management. The system may utilize a lightweight, on-device artificial intelligence model for local processing of voice commands on a media consumption device, for example, a smart television or streaming player. An adaptive UI can present results by reflowing content in-place, which may allow media playback to continue without interruption. The system could also incorporate a collision avoidance mechanism that can dynamically reposition UI elements to avoid obscuring on-screen text, such as closed captions. An automated memory management system may temporarily unload the model to …

A Hybrid Metamaterial-Based System For 3d Anisotropic Printed Circuit Board Material Characterization, N/A

Defensive Publications Series

The present disclosure relates to a hybrid metamaterial-based system for three-dimensional anisotropic printed circuit board material characterization. The system utilizes a vertical zeroth-order resonator integrated alongside differential-length transmission lines to extract out-of-plane anisotropy and low-frequency permittivity parameters. Operating at a zeroth-order mode allows for a compact footprint, while sub-gigahertz operation assists in isolating intrinsic material loss from surface roughness effects.

Keywords: Metamaterial, Zeroth-Order Resonator, Printed Circuit Board, Characterization, Anisotropy, Permittivity, Loss Tangent.

Caldwell Roadside Vortex-Disk Fire Suppression Platform (Rvfd-1.0) A Tandem-Deployed, High-Wind Mobile Perimeter Shield And Kinetic Extinguishing Engine Using A Rotating Hollow-Shaft Gyroid-Balanced Fluid Manifold For Autonomous Roadside Wildfire Defense, Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Roadside Vortex-Disk Fire Suppression Platform (RVFD-1.0) is a public-domain, open-hardware engineering architecture designed to replace hazardous manual roadside fire-hose crews during high-wind, zero-visibility wildfire events. Mounted on a heavy-duty rear flatbed trailer towed by a high-capacity 6,000–10,000-gallon water tanker truck, the system utilizes an elevated, folding 12–16-foot rotating vortex-disk applicator (with optional telescoping mast to 30–50 ft). Fed by a high-pressure independent auxiliary pump via a hollow-shaft central rotary swivel, the disk discharges pre-conditioned water through circumferential vortex injector nozzles, optionally enhanced with electrostatic charging rings and/or compressed air injection to form coherent, wind-resistant vortex rings. Operating in …

Non-Custodial Ephemeral Compute Architecture For Privacy-Preserving Analysis Of Personal Data, Mary F. Camacho

Defensive Publications Series

A non-custodial, ephemeral compute architecture enables privacy-preserving analysis of personal data by an operator that, by construction and not by policy, contract, or trust, holds no persistent key material capable of decrypting the data it processes. The architecture lets an application separate two kinds of personal data that are usually conflated. Contact data is the identifying and reach information an application legitimately needs to hold (name, email, account and billing identifiers: who someone is and how to reach them). Confided data is the substantive information a person reveals about themselves: their body, mind, behavior, and life. The architecture processes the …