Decoupled Multi-Scale Memory Architecture For Adaptive User Intent Modeling And Real-Time Personalization Control, Aura Yavary

Defensive Publications Series

A framework and methodology are described for enhancing personalized information retrieval and ranking through a multi-scale memory architecture. The system captures and synthesizes user behavior across different time horizons, utilizing distinct short-term, long-term, and temporal memory modules. The architecture processes the composite memory state to compute various personalization levels, allowing for granular, controllable, and compliance-aware user specification in real-time content delivery.

Keywords: Machine Learning, Memory Architecture, User Intent Modeling, Personalization Control, Temporal Decay, Information Retrieval, Real-Time Prediction.

Model-Based Semantic Expansion Of Text Selections With Multi-Tiered Visual Rendering, Jerome Miglino, Brendan Hickey, Will Leszczuk, Mj Shi

Defensive Publications Series

Systems for contextual text analysis can provide results based on a user's selection but may lack transparency in their reasoning. This can be a challenge when a system misinterprets the semantic context of an ambiguous word or phrase. A described technique can address this by using a machine learning model to analyze a user's initial text selection along with its surrounding text. The model can predict an expanded, semantically coherent conceptual unit that may represent a user's likely intent. This system-generated expansion can be displayed to the user, for example, through a multi-tiered visual rendering that distinguishes it from the …

In-Application Transaction Retries For Failed Online Merchant Payments, Nishank Jain, Amish Patel, Vineeth Kumar, Sanket Jain, Varun Gupta, Abhishek Tyagi, Yogesh Agrawal, Piyush Ramuka, Prerna Singh, Paridhi Rawat

Defensive Publications Series

In online payment systems, even retryable transaction failures, such as an incorrect personal identification number entry, result in a failure on the payment app, requiring the user to restart the payment journey from the merchant checkout surface and contributing to transaction drop-off rates. A deferred notification strategy can be used to manage these failures. For example, upon a retryable failure, a user's payment application can signal the retryable nature of the error to the payment aggregator. The aggregator may then withhold the failure notification from the merchant for a configured time window. This approach provides the user an in-application opportunity …

Dynamic Reward Synthesis Via Contextually Weighted Objective Attribute Raters, Agoston Weisz, Roman Goldenberg, Evgeny Sluzhaev

Defensive Publications Series

Reinforcement learning for fine-tuning generative models can be negatively impacted by noisy reward signals from single-score automated evaluation systems, which may lead to training instability and unpredictable model improvements. A framework for dynamic reward synthesis addresses this by decomposing high-level concepts into discrete, objective attributes. By evaluating these attributes individually and weighting them based on the context of the input, the system produces a reward signal that is more stable, interpretable, and aligned with specific goals.

Predictive Computational Arbitrage And Dynamic Resource Allocation In Heterogeneous Networks, Aura Yavary

Defensive Publications Series

A system and method for dynamic allocation of computing resources across local and remote environments based on task complexity and resource availability are described. The approach involves evaluating an input using a probe model to determine a difficulty score and complexity tags. Based on this evaluation, the system isolates the input into individual semantic shards for processing across a heterogeneous network of computational targets. A compute bill of materials is generated to optimize cost and quality, matching specific shards with appropriate models, quantization precision levels, energy limits, and hardware targets. The architecture includes a semantic atomizer for parsing inputs, a …

Gci #285 – Hyperion Seed Accelerator V3.3: Multi‑Modal Acoustic–Nanobubble Seed Priming Platform For High‑Value Crops, Fruit Trees, And Reforestation, Michael Victor Caldwell Mr.

Defensive Publications Series

GCI #285 – Hyperion Seed Accelerator v3.3 is an open‑hardware, multi‑modal seed‑priming platform integrating dual‑frequency ultrasound, nanobubble oxygenation, mechanical stimulation, and direct‑to‑soil rooting to accelerate germination and improve early vigor in high‑value crops, fruit trees, and reforestation species.

The system combines:

• 20/60 kHz ultrasound for seed‑coat weakening and accelerated water uptake,

• a vortex‑driven nanobubble generator for enhanced dissolved oxygen delivery,

• a 55N tensioned Arachne substrate for uniform low‑frequency mechanostimulation, and

• a mycorrhiza‑rich soil buffer enabling immediate root anchoring with zero transplant shock.

Based on published ultrasound and nanobubble research, Hyperion targets 15–30% faster germination, 5–20% higher …

Ai-Powered Socratic Dialogue System For Collaborative Problem Solving, Tamar Yakar

Defensive Publications Series

Complex problem-solving often faces limitations when automated tools provide immediate answers, which can bypass the critical thinking and reflection necessary for addressing intricate challenges. A method is disclosed for an interactive dialogue system that employs Socratic questioning to guide users through the cognitive process of problem resolution. The disclosed technology comprises a problem decomposition engine, an assumption identification module, and a persona-based perspective generator. These components are integrated with a first-principles thinking mode and a dynamic cognitive map visualization that tracks the structure of the dialogue. By systematically challenging underlying assumptions and breaking down complex issues into fundamental elements, the …

Data Distillation Pipeline For Principle-Guided Personalization In Large Language Models, Hugo Lopes, Yang Zheng, Mugurel-Ionut Andreica, Jeffrey Dudek, Cheng Li

Defensive Publications Series

Personalized large language models often exhibit defects such as the overuse of irrelevant user information, unnatural data formatting, and intrusive or repetitive name usage. These issues typically arise from a failure to prioritize relevant context or to integrate user data naturally into responses. A data distillation pipeline is disclosed to address these limitations by generating high-quality supervised fine-tuning examples. The method utilizes a “persona bank” to generate user prompts and profiles, followed by the generation of multiple responses guided by specific personalization principles. These guided responses are evaluated alongside a baseline unguided output using a side-by-side comparison. Training data is …

Harmonic Vector Equilibrium: A Unified Integer-Based Framework For Control, Navigation, And Communication On The Cuboctahedral Matrix, Olexandr Lozovyi

Defensive Publications Series

This disclosure presents an integer-based spatial and phase control framework (HVE) designed for embedded systems and actuators. The method replaces conventional floating-point arithmetic and 360-degree metrics with a base resolution of L = 27720. This metric, being the Least Common Multiple (LCM) of integers 1 through 12, guarantees exact integer division for complex mechanical gear ratios and spatial subdivisions.

The framework eliminates progressive floating-point phase drift and provides a computationally lightweight, pure-integer control law suitable for resource-constrained microcontrollers. The mathematical principle is inherently scalable to higher-precision systems (32/64-bit) for cross-disciplinary applications, including Magnetic Resonance Imaging (MRI) spatial encoding, non-invasive neuromodulation …

Thermally Stable Multilayer Coating With A Diffusion Barrier For Interference Colors, Marco Zhou, Damon Guo

Defensive Publications Series

Multilayer coatings used to create decorative interference colors may experience color degradation when thermally reactive metallic layers, such as copper and aluminum, are subjected to high-temperature manufacturing processes. This can cause atomic diffusion and the formation of intermetallic compounds that may alter the optical properties of the stack. To mitigate this, a separating layer, for example a thin film of niobium, can be incorporated between the reactive metallic layers during fabrication. This separating layer can function as a diffusion barrier to obstruct atomic migration at elevated temperatures. By inhibiting the formation of intermetallic compounds, the barrier layer may help preserve …

Automated Synthesis Of Disparate Product Feedback Using A Contextual Knowledge Base, Michael R. Fitzpatrick, Kanupriya Singhal, Steve Ganem, Jian Yao

Defensive Publications Series

Organizations can face challenges in processing large volumes of diverse product feedback from disparate sources, such as in-product forms and social media platforms. Manual analysis can be slow and difficult to scale, while some text summarization tools may lack the product-specific context to generate actionable insights. This disclosure describes systems and methods for automated feedback analysis that can utilize a data processing pipeline to ingest and standardize user feedback. An analytical engine, which may employ machine learning models, can operate in conjunction with a product-specific contextual knowledge base to classify feedback, generate narrative summaries, and perform sentiment analysis. This approach …

Terra2 Addendum 6 Svru4 Cascade Condensation And Diurnal Thermal Loop (Revised), Vesa Olavi Lius

Defensive Publications Series

This Addendum formally discloses three novel extensions to the ALLFROMAIR® TERRA² Tri-Generation Platform, with thermodynamically verified calculations for Desert (40°C/30%RF) and Tropical Max (40°C/80%RF) climate scenarios.

The first disclosure — SVRU4 Cascade Condensation — establishes a fourth condenser unit (SVRU4), constructed identically to SVRU1 (Heresite P-413, 316L SS), positioned after SVRU3 in the exhaust air stream. SVRU4 condenses moisture from the saturated exhaust (32–34°C/100%RF) using seawater or a pre-cooled buffer as cold medium, producing an additional 99,700–280,000 L/day in desert and 213,000–322,000 L/day in tropical conditions depending on cold medium temperature. This gain applies in both Mode A and Mode …

Zenbrain: A Neuroscience-Inspired 7-Layer Memory Architecture For Autonomous Ai Systems (V5), Alexander Bering

Defensive Publications Series

TECHNICAL DISCLOSURE: ZenBrain — A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems (v5)

This disclosure describes ZenBrain, a memory architecture for AI agents that integrates fifteen neuroscience models into seven distinct memory layers (working, short-term, episodic, semantic, procedural, core, cross-context).

Version 5 adds the Predictive Memory Architecture (PMA): six new biologically motivated components for neuromodulated memory lifecycle management. These include a four-channel NeuromodulatorEngine (dopamine/norepinephrine/serotonin/acetylcholine dynamics), a prediction-error-gated ReconsolidationEngine, TripleCopyMemory with divergent decay dynamics (fast/medium/deep copies with logarithmic deep-copy consolidation), a four-dimensional PriorityMap with amygdala fast-path, a StabilityProtector (NogoA/HDAC3 analog for memory protection), and a MetacognitiveMonitor for bias detection.

New …

Automated Transactional Workflow Orchestration From Visual Documents, Dinoop Dayanand, Ravi Tejasvi, Nithya Kota, Hemen Chhatbar, Adam Chiu

Defensive Publications Series

Manual transcription of information from unstructured visual documents, such as utility bills or event flyers, for digital transactions may be inefficient and prone to error. A system is described for automating transactional workflows initiated from a visual input. A user may provide an image of a document to a multimodal large language model, which can analyze the image to perform semantic analysis, extract relevant transactional data like a payee and an amount, and infer a user's intent. This structured information can then be provided to an agentic controller that can programmatically orchestrate a sequence of actions. These actions can include …

Gci #282: Phoenix-Cracker V2.0 Hydrodynamic Cavitation Reactor, Michael Victor Caldwell Mr.

Defensive Publications Series

GCI #282 Phoenix-Cracker v2.0 mounts as the Car B reactor module on the GCI Universal Conditioning Train chassis. It is designed for the 80°C bulk conversion of clean PE/PP waste and waste motor oil (3:1 ratio) into high-purity synthetic diesel (C10–C20).

Physics: The GCI #18 J-Groove Manifold accelerates the pressurized slurry through a Tungsten Carbide Venturi Nozzle. This creates hydrodynamic cavitation "hotspots" (>5,000 K) that enable non-equilibrium polyolefin scission without 400°C+ pyrolysis. H-ZSM-5 Zeolite bed performs molecular polishing.

Gci #281 — Lazarus-Train V2.0, Michael Victor Caldwell Mr.

Defensive Publications Series

The Lazarus-Train is a complete, open-source research platform combining three proven technologies—helical vortex preconditioning, 33 MHz traveling surface acoustic wave (TSAW) pathogen disruption, and magnetic nanoparticle trapping—into a modular skid-mounted system for biofluid conditioning studies. Unlike conventional size-based filtration (ECMO, dialysis), this physics-based approach achieves >90% particle separation with < 2% hemolysis through density-selective acoustic lysis and continuous-flow magnetic cleanup.

Key Innovation: First integration of J-Groove vortex de-agglomeration (GCI #18), TSAW additive-free lysis on LiNbO3 substrate, and Permalloy antidot arrays for viral debris capture—all controlled by Arduino with hard safety interlocks. Total build cost: $2,475 using commercial off-the-shelf components. Complete assembly: 3.5 hours. TRL 5 (lab-validated integration ready).

The Linchpin Protocol:, Jonathan S. Baker

Defensive Publications Series

1. Abstract Traditional digital authentication relies on static biometric templates, rendering systems critically vulnerable to advanced generative simulation and data exfiltration. Ethelgard LLC presents the Linchpin Protocol: a decentralized, hardware-anchored identity infrastructure utilizing Dynamic Biometric Entropy (DBE). By synthesizing real-time physiological telemetry—specifically Non-Linear Heart Rate Variability (HRV)—into ephemeral cryptographic session keys, the protocol eliminates biological data persistence. The framework is sustained by a continuous "Tri-Harvesting" power architecture, featuring a textile-embedded, AMC-isolated rectenna array for ambient RF and thermal energy capture. Operating autonomously from grid power, the Ethelgard interface executes Zero-Knowledge Proofs (ZK-SNARKs) for secure, on-ledger (XRPL) human authentication …

Terra2 Addendum 6 Svru4 Cascade Condensation And Diurnal Thermal Loop, Vesa Olavi Lius

Defensive Publications Series

This Addendum formally discloses two novel extensions to the ALLFROMAIR® TERRA² Tri-Generation Platform. The disclosures are presented with thermodynamically verified calculations for two primary climate scenarios: Desert (40°C/30%RF) and Tropical Max (40°C/80%RF).

The first disclosure — SVRU4 Cascade Condensation — establishes a fourth condenser unit (SVRU4), constructed identically to SVRU1, positioned at the exhaust of Module 2 after SVRU3. SVRU4 condenses water from the moisture-saturated exhaust stream (32–34°C/100%RF) using seawater or a night-cooled buffer as cold medium. This produces an additional 172,000–280,000 L/day in desert and 213,000–322,000 L/day in tropical conditions depending on cold medium temperature.

The second disclosure — …

Gci Universal Conditioning Train, Michael Victor Caldwell Mr.

Defensive Publications Series

The GCI Universal Conditioning Train is a hypothetical, skid-mounted pretreatment platform intended to make difficult liquid streams easier, safer, and cheaper to process downstream. The concept is not presented as a proven refinery replacement, a direct fuel-maker, or a patented commercial product. It is an online invention proposal being passed on for real-world build and test evaluation by qualified engineers.

The system is designed to condition dirty liquid streams such as used oil, oily wastewater, sewage-adjacent waste, grease-laden water, and industrial sludge. Its purpose is to improve separability, reduce fouling, release trapped water and solids, and lower the burden on …

Gci #280 – Vortex Atmospheric Reclamator (Var), Michael Victor Caldwell Mr.

Defensive Publications Series

GCI #280, the Vortex Atmospheric Reclamator (VAR), is an open-hardware concept for decentralized atmospheric water harvesting. It combines vortex-assisted airflow management, passive radiative cooling, droplet-shedding condensation surfaces, integrated purification, and layered safety control to produce potable water from ambient air without compressor-based refrigeration.

This document is an online-only conceptual disclosure. It is not a patent, not a commercial product, and not a claim of validated field performance. It is published so real-world engineers, makers, humanitarian teams, and researchers can evaluate the idea, build prototypes, and test whether it performs better than current systems in the real world.

Vortex-Brain Atlas, Michael Victor Caldwell Mr.

Defensive Publications Series

Vortex-Brain Atlas is an open, modular AI workflow platform that converts a large invention portfolio into a real-world prototype roadmap. It ingests technical disclosures, cross-links reusable engineering modules, flags unsupported claims, and generates build, test, safety, and handoff documentation for engineers or other AI systems.

The purpose of the system is to reduce context loss, speed prototype development, improve criticism resistance, and make large invention portfolios easier to validate in the real world. It is designed for use across medical, vortex, cryogenic, water, energy, and control-system inventions.

This concept does not claim magical self-improvement, autonomous invention, or guaranteed success. It …

Gci #278 — Helium-Sparing Multi-Stage Vortex Cryocooling Stack With Modular Geometry And Arachne Thermal Interface, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure describes a prototype-viable, nitrogen-class cryocooling system designed to reduce helium consumption and improve thermal stability for high-temperature superconducting (HTS) loads. The system combines staged Ranque–Hilsch vortex separation, spiral/tangential inlet geometry, modular flange construction, and a microfluidic Arachne-style thermal spreader. All geometry is defined using dimensionless design heuristics to enable rapid prototyping and tuning. The system is physically plausible and buildable using standard cryogenic hardware and CNC machining. Final temperature performance must be verified experimentally.

Solid State Forms Of (4as,6r,8as)-4a,5,9,10,11,12-Hexahydro-3-Methoxy-11-Methyl-6h-Benzofuro[3a,3,2-Ef][2]Benzazepin-6-Benzoate Gluconate, Msn Laboratories Private Limited, R&D Center; Srinivasan Thirumalai Rajan; Sagyam Rajeshwar Reddy; Kammari Bal Raju; Abhijit Garai; Uppalanchi Srinivas; Manda Ananth Reddy; Revu Satyanarayana; Nakka Mangarao

Defensive Publications Series

A solid state forms of (4aS,6R,8aS)-4a,5,9,10,11,12-hexahydro-3-methoxy-11-methyl-6H-benzofuro[3a,3,2-ef][2]benzazepin-6-benzoate gluconate.

Solid State Forms Of N-[4-(Chlorodifluoromethoxy)Phenyl]-6-[(3r)-3- Hydroxypyrrolidin-1-Yl]-5-(1h-Pyrazol-3-Yl)Pyridine-3-Carboxamide Hydrogen Chloride And Processes For Preparation Thereof

Defensive Publications Series

Solid state forms of N-[4-(chlorodifluoromethoxy)phenyl]-6-[(3R)-3-hydroxypyrrolidin-1-yl]-5-(1H-pyrazol-3-yl)pyridine-3-carboxamide hydrogen chloride and processes for preparation thereof

The present invention relates to solid state forms of N-[4-(chlorodifluoromethoxy)phenyl]-6-[(3R)-3-hydroxypyrrolidin-1-yl]-5-(1H-pyrazol-3-yl) pyridine-3-carboxamide hydrogen chloride represented by the following structural formula-1a and processes for preparations thereof.

Formula-1a

Zenbrain: A Neuroscience-Inspired 7-Layer Memory Architecture For Autonomous Ai Systems, Alexander Bering

Defensive Publications Series

Memory management remains a fundamental challenge for autonomous AI systems. Existing approaches employ operating system metaphors, flat storage with LLM-driven management, or note-taking paradigms, but none incorporate principles from cognitive neuroscience—despite memory science offering over a century of empirically validated models.

We present ZenBrain, a multi-layer memory architecture for AI agents that integrates twelve established neuroscience models into a unified system. ZenBrain implements seven distinct memory layers—working, short-term, episodic, semantic, procedural, core, and cross-context—orchestrated by twelve algorithms including Hebbian learning dynamics for knowledge graph co-activation, Ebbinghaus forgetting curves with FSRS spaced repetition scheduling, sleep-time memory consolidation, Bayesian confidence propagation …

Adaptive Content Pacing And Media Playlist Resolution To Match Dynamic Time Constraints, Thiyagaraj Krishna

Defensive Publications Series

Digital media platforms can create fixed-duration playlists that may be misaligned with a user's variable, real-world time constraints, such as a commute, potentially resulting in abrupt content interruptions or periods of silence. This disclosure describes systems and methods for dynamically synchronizing media playback with a time-bound activity. A system can generate an initial media queue to approximate a time budget and can monitor for discrepancies between the remaining content duration and the activity's remaining time. Based on the magnitude of a detected discrepancy, the system can apply a tiered re-calibration mechanism. For example, such a mechanism may include restructuring the …

Sentinel-Vortex Bio-Processor V4.0: Passive, Fanless Urine-Air Separator For Microgravity Eclss, Michael Victor Caldwell Mr.

Defensive Publications Series

The Sentinel-Vortex Bio-Processor is a production-ready, no-moving-parts replacement for NASA's Universal Waste Management System (UWMS) dual-fan urine separator, eliminating mechanical failure points while achieving 1.1% air entrainment (target ≤1.2%) across 25-2000mL flow range.

Core Innovation: Frustoconical vortex chamber (D=150→80mm, 30° taper) driven by cabin pressure differential only (20-101 kPa). Adaptive preflush (1-3s, 10m/s air via 35° PEEK swirl vanes) guarantees vortex stability, solving documented microgravity low-flow collapse. SiO₂-PDMS superhydrophobic coating (>155° contact angle) enables self-cleaning with crew recoat kit (12 min/6 months).

Covariate Adjustment For Variance Reduction In Online Controlled Experiments, Roy Katz

Defensive Publications Series

Online controlled experiments often struggle to measure small treatment effects in metrics characterized by high variance and long-tailed distributions. Conventional approaches of increasing sample size to mitigate statistical noise can require impractically large user populations or extended experiment durations.  This disclosure describes a system that utilizes pre-experiment data as a covariate within a regression adjustment model to reduce variance in outcome metrics. The system incorporates a data processing pipeline to collect baseline user activity, a power analysis toolkit for prospective efficiency calculations, and an automated bias detection module to monitor group imbalances. By accounting for pre-existing behavioral patterns, the technology …

Enhanced Quantum Secure Agent2agent Protocol, Niranjan M M

Defensive Publications Series

Kyber is a lattice-based key encapsulation mechanism, which is based on asymmetric key encryption, but resistant to crypto-analysis attack as it is implemented based on Module LWE. NIST selected Kyber for post-quantum key exchange in 2024, which is being integrated with TLS libraries.

Even though Kyber provides stronger security against crypto-analysis attacks and works with negligible performance impact, but it is having some of the vulnerabilities such as, side-channel timing vulnerabilities etc.,

Proposed method enhances the security of Agent2Agent protocol. This method is resistant to crypto-analysis attack and overcome the side-channel timing vulnerabilities of standard Kyber PQC. As per the …

Ion Exchange Filter Monitoring, Thomas G. Hoffman

Defensive Publications Series

In some examples, a system includes a fluid line, an ion exchange filter configured to remove at least one contaminant from a fluid in the fluid line, an ultraviolet source, and an ultraviolet detector.  The ultraviolet source is configured to direct ultraviolet light toward the fluid.  The ultraviolet detector includes an ultraviolet transparent window and an ultraviolet sensor configured to detect the ultraviolet light transmitted through the fluid and across the ultraviolet transparent window.  The ultraviolet source and the ultraviolet detector are downstream of the filter.  The system further includes processing circuitry configured to receive a signal from the ultraviolet …