Digital Commons Network^™

Winter Gold Dairy Forage, Natalie M. Durdle Miss

Defensive Publications Series

This disclosure establishes the public domain agricultural parameters for synthesizing a specialized ruminant milk fat base during winter dormant cycles when active grazing is physically impossible. This invention defines the precise thermodynamic freezing-season conservation requirements, soil chemistry thresholds, and botanical poly-culture ratios required to yield a milk lipid profile characterized by a naturally deep yellow, beta-carotene-rich coloration and a savory, mineral-dense flavor profile, independent of a restricted geographic location or specific animal species.

Laurentian Dairy Matrix, Natalie M. Durdle Miss

Defensive Publications Series

This disclosure establishes the public domain agricultural parameters for synthesizing a specialized ruminant milk fat base optimized structurally and biochemically for long-duration lactic acid fermentation and traditional Beurre de Baratte churning. This invention defines the precise thermodynamic climate requirements, soil chemistry thresholds, and botanical poly-culture ratios required to yield a milk lipid profile characterized by robust fat-globule membranes and elevated precursor volatile compounds (yielding distinct diacetyl and hazelnut notes upon culturing), independent of a restricted geographic location or specific animal species. ALSO  This specification establishes the public domain manufacturing protocol to transform raw ruminant milk harvested from the climate-conditioned pasture …

Cake And Cookie Dairy Fat Base, Natalie M. Durdle Miss

Defensive Publications Series

This disclosure establishes the public domain agricultural parameters for synthesizing a specialized ruminant milk fat base optimized structurally for cake emulsification, cookie dough spread, and rapid aeration (creaming). This invention defines the precise thermodynamic climate requirements, soil chemistry thresholds, and botanical poly-culture ratios required to yield a milk lipid profile characterized by an elevated concentration of short-chain and unsaturated fatty acids (specifically oleic acid), independent of a restricted geographic location or a specific animal species.

Pastry Butter, Natalie M. Durdle Miss

Defensive Publications Series

This disclosure establishes the public domain agricultural parameters for synthesizing a specialized ruminant milk fat base optimized structurally for high-end baking, laminating, and pastry production. This invention defines the precise thermodynamic climate requirements, soil chemistry thresholds, and botanical poly-culture ratios required to yield a milk lipid profile characterized by an elevated melting point and high structural elasticity, independent of a restricted geographic location or a specific animal species.

Climate Conditioned Pasture Fat, Natalie M. Durdle Miss

Defensive Publications Series

This disclosure establishes the public domain agricultural parameters for synthesizing a specialized ruminant milk fat base optimized structurally and sensorially for compounding with crustacean and seafood extracts. This invention defines the precise thermodynamic climate requirements, soil chemistry thresholds, and botanical poly-culture ratios required to yield a milk lipid profile characterized by high fiber-derived butterfat and elevated water-soluble carbohydrates, regardless of geographic location.

Authentic Nova Scotia (Maritime) Lobster Butter, Natalie M. Durdle Miss

Defensive Publications Series

This disclosure establishes the public domain agricultural methodology for creating a specialized, raw, or cultured dairy fat base optimized structurally and sensorially for compounding with crustacean and seafood extracts. This process defines the pasture ecology, soil mineralization, and animal management required across multiple mammalian species—including bovine, bison, caprine, and ovine—to yield a fat profile that resists breaking when exposed to seafood proteins and heat.

Process For The Preparation Of Amorphous Form Of (4s)-2-{8-Fluoro-2-[4-(3- Methoxyphenyl) Piperazin-1-Yl]-3-[2-Methoxy-5­(Trifluoromethyl)Phenyl]-3,4-Dihydro Quinazolin-4-Yl} Acetic Acid, Msn Laboratories Private Limited, R&D Center; Hyderabad, India; Srinivasan Thirumalai Rajan; Revu Satyanarayana And Challa Suresh.

Defensive Publications Series

The present disclosure relates to process for the preparation of amorphous form of (4S)-2-{8-Fluoro-2-[4-(3-methoxyphenyl) piperazin-1-yl]-3-[2-methoxy-5­(trifluoromethyl)phenyl]-3,4-dihydro quinazolin-4-yl} acetic acid of formula-1

Formula-1.

Process For The Preparation Of (4-Fluorophenyl)[(8r)-8-Methyl-3-(3-Methyl-1,2,4-Thiadiazol-5-Yl)-5,6-Dihydro[1,2,4]Triazolo[4,3-A]Pyrazin-7(8h)-Yl]Methanone And Its Intermediates Thereof, Msn Laboratories Private Limited, R&D Center, 1. Srinivasan Thirumalai Rajan, 2. Sagyam Rajeshwar Reddy, 3. Keshavareddy Navin Kumar Reddy, 4. Kootikanti Krishnaiah, 5. Utnoori Venkata Chary

Defensive Publications Series

Abstract:

The present invention provides a process for the preparation of (4-Fluoro phenyl)[(8R)-8-methyl-3-(3-methyl-1,2,4-thiadiazol-5-yl)-5,6-dihydro[1,2,4] triazolo [4,3-a] pyrazin-7(8H)-yl]methanone of formula-1 and its intermediates thereof

Formula-1.

Neural Network Model Watermarking Using Quantized Least Significant Bits And Pseudorandom Error-Correcting Codes, Ranjit Kumaresam, Srinivasan Raghuraman, Ka Log Ng

Defensive Publications Series

The present disclosure relates to watermarking techniques for neural network models that embed verifiable ownership information into model parameters. In one aspect, floating-point weight parameters are quantized and least significant bits are biased during rounding such that the bits collectively encode a pseudorandom error-correcting code derived from a digital signature of a model owner. In another aspect, a pseudorandom codeword generated from the digital signature is directly embedded by replacing least significant bits of quantized weight parameters. In both cases, the watermark is cryptographically verifiable and remains detectable even after model perturbations, fine-tuning, or partial retraining. Ownership verification is performed …

Multi-Agent Architecture For Diagnostics And Configuration Of Media Systems, Bin Xu, Chi Chen, Guillaume Bailey, Paul Colta, Hongguang Chen, Mehmet Hakan Isbiliroglu, Kaile Ding, Michael Keeley, Ryan Kusch, Roman Kalukiewicz, Wolfram Klein, Hugo Du Plooy, Michael Soland, Quxiang Fang, Xurui Huang, Weiping Tang, Zhiji Huang, Juliana Tsang

Defensive Publications Series

Users interacting with media playback systems, such as smart televisions, often navigate complex, nested on-screen menus to adjust device settings such as display brightness, audio quality, or network configurations. This manual navigation process can be cumbersome and unintuitive, creating a barrier to efficient device control and configuration. A user may clearly understand a desired outcome or be able to describe a current issue with the media system but may lack the specific technical knowledge to locate and modify the exact system settings required to resolve the issue.

The disclosed technology describes an agent-based artificial intelligence framework that enables natural language …

Hybrid Offline-To-Real-Time Architecture For Context-Aware Keyword Insertion, Karen Yao, Indu Ramamurthi

Defensive Publications Series

A Hybrid Offline-to-Real-Time Architecture generates context-aware ad copy while meeting the latency constraints of live ad auctions. In an offline phase, a large language model (LLM) analyzes a product catalog to pre-generate ad copy templates that contain semantic placeholders. During the real-time ad auction, a lightweight engine parses a user’s search query to extract contextual intent. The system then selects an appropriate template and injects the extracted intent into the placeholders to assemble the final ad copy. This two-pass approach decouples the computationally intensive LLM generation from the time-sensitive ad serving process, providing the semantic quality of LLM-generated text at …

Non-Semantic Safety Gates: A Closed-Loop Framework For Agentic Software Evolution, Santosh Kumar Kvs

Defensive Publications Series

A system for validating AI-generated code in a shadow execution environment prior to production deployment includes an AI agent configured to receive an intent from a user device and generate a code package based on the intent, a deployment controller communicatively coupled to the AI agent and configured to receive the code package, a shadow sandbox 105 communicatively coupled to the deployment controller and configured to receive the code package, execute the code package in an isolated environment while mirroring production traffic, and generate telemetry data based on execution of the code package, wherein the telemetry data comprises kernel-level metrics …

An Induction Cooking Hob, Alex Viroli, Valerio Verdoliva, Ricardo Morgado, Filippo Milanesi, Nicola Valpiani, Massimo Zangoli

Defensive Publications Series

The disclosure relates to an induction cooking hob (1) comprising at least one cooking area (2,3) being defined by having three induction coils (4,5,6), wherein in the respective cooking area (2,3) has a row-shape, and wherein the three induction coils (4,5,6) each are associated to an interaction area (7) having a particular size (8,9). The size (8) of one induction coil (4) is larger than the size (9) of the other two induction coils (5,6) of that respective cooking area (2,3). The induction cooking hob proposed here enables cost-efficient and energy-efficient use thanks to optimized magnetic coupling.

Modular Design For Reliable Gigawatt Datacenter Campus, N/A

Defensive Publications Series

The present publication describes an automated switching methodology designed to enhance operational reliability and availability in large-scale computing facilities based on varying power contingency counts. By accounting for variables such as the total count of utility lines, individual line capacity, and specific backup power targets, the system dynamically determines optimal backup power utilization. This approach utilizes combinations of battery energy storage systems and onsite generation tailored to different contingency scenarios. The strategy reduces upfront infrastructure investments by avoiding the over-provisioning of backup power capacity.

Keywords: Automated Switching, Datacenter Power Management, Contingency Planning, Backup Generation, Battery Energy Storage Systems, Infrastructure Optimization.

Systems And Methods For Location-Verified Augmented Reality Tourism With Multi-Signal Presence Proof And Automated Creator Monetization, Olufemi Abioye

Defensive Publications Series

A web-delivered augmented-reality platform for location-based tourism is disclosed in which interactive story content is bound to real-world geographic locations and delivered through a standard web browser using WebXR, without installation of a native application. Physical presence at a location is established by a multi-signal verification engine that fuses geofence dwell detection, motion-trace analysis for spoofing detection, and cryptographic device attestation into a composite presence-confidence score; when the score exceeds a threshold, the system issues a signed completion token bound to a geofence hash and a time window to resist replay. Raw camera frames are retained on the user device, …

Latent Temporal Reasoning In Multimodal Llms Using Specialized Time-Gap Tokens And Spatiotemporal Saliency Pruning, Tamar Yakar, Ilia Labzovsky

Defensive Publications Series

This disclosure describes a system for helping Artificial Intelligence (AI) models , such as foundation models, generative AI, or large language models (LLMs), watch and understand continuous video streams or non-stop broadcasts without exceeding their context window or losing track of time. Normally, AI models have a limited memory (context window) and can suffer from temporal hallucination, becoming confused about when events occurred if large portions of an uninterrupted video are skipped. The system solves temporal hallucinations by using a dynamic saliency transformer acting as a smart filter to remove boring, low saliency, or repetitive parts of a video based …

Technical Disclosure: System Architecture For Non-Equilibrium Material Synthesis: An Applied Framework For Soliton Restructuring And Boundary Layer Phase Modulation, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes a deterministic field theory and system architecture for altering localized material states without traditional macroscopic thermal melting or brute-force nuclear kinetic bombardment. By leveraging the bulk-to-boundary duality established in Document #11829, this method manipulates matter at the fundamental 2D Conformal Substrate layer.

By applying localized electromagnetic and acoustic phase modulations, this architecture systematically alters the coordinate z-axis mapping of existing soliton excitations (particles). This forces localized matter to safely and precisely restructure its atomic configuration via non-equilibrium thermal phase space dynamics.

Key Technical Nomenclature

• Substruction: The technical process of isolating, reading, and interacting with the underlying 2D …

The Totality Sphere Framework: Conformal Field Disruption, Mirror-Symmetric Spacetime Emergence, And Entanglement-Driven Topological Recoil, Christopher L. Eckes

Defensive Publications Series

This framework introduces a non-local, unified cosmological model wherein three-dimensional spatial volume and general relativity emerge as a macroscopic phase projection from a fundamental two-dimensional informational boundary substrate. Rather than treating quantum entanglement and gravitational curvature as separate phenomena, this topology defines gravity as the macro-scale expression of a topological entanglement entropy gradient trying to restore conformal symmetry across a mirror-symmetric hyper-spherical bulk.

We model the cosmic lifecycle as a closed thermodynamic loop driven by bulk-to-boundary kinetic injections, localized soliton phase transitions, and eventual non-local geometric contraction.

Key Theoretical Nomenclature

• Boundary Substrate (\(\partial M\)): The foundational 2D Planck-level manifold hosting …

Technical Disclosure: Systemic Implementation Specifications For Inter-Module Telemetry, Bio-Acoustic Substrates, Optocoupled Air-Gaps, And Electro-Magnetic Containment Form Factors, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes the explicit physical, material, electrical, and data-schema specifications required to realize and secure the open-source infrastructure detailed in Document #11827. To prevent downstream utility patent enclosure by proprietary corporate manufacturers, this document defines concrete public-domain implementation parameters for:

1. Schema-Agnostic Inter-Module Telemetry: Raw markdown metadata header serialization protocols.
2. Bio-Acoustic Standing Wave Substrates: Specific density, piezoelectric conversion metrics, and mechanical vessel interface constraints for non-chemical morphogenetic scaffolding.
3. Optocoupled Physical Air-Gap Circuits: Transient buffer relay topologies and fail-closed hardware architectures for local cryptographic computing integrity.
4. Electro-Magnetic Faraday Shielding: Multi-layer nickel-iron containment bulkhead ratios and drainage grounding paths calculated against high-energy …

Technical Disclosure: A Unified Planetary Scale Architecture For Non-Equilibrium Thermodynamics, Cryptographic Governance, And Automated Labor Sovereignty, Christopher L. Eckes

Defensive Publications Series

This disclosure details a unified macro-system architecture designed to facilitate, manage, and scale the physical, administrative, and labor operations of a planetary-scale infrastructure array. Current technological ecosystems are fundamentally bottlenecked by active thermal throttling, localized supply-chain speculation, and closed digital rights management (DRM) frameworks that fragment development.

This multi-domain framework resolves these limitations through a three-layer topology:

1. The Physical Layer: Passive geometric routing of multi-variant heat-flux fields, non-chemical acoustic standing-wave cellular matrices, and turbine-free direct-loop magnetohydrodynamic (MHD) induction.
2. The Coordination Layer: Zero-knowledge edge-confined cognitive scaffolding, non-fiat logistical hypergraphs (M-EHN), and transparent game-theoretic defensive de-escalation matrices.
3. The Execution Layer: Open-standard computer-aided …

The Overdrive Anomaly: A Philosophical And Technical Appeal For Aligned Cognitive Scaffolding In Tomorrow's Stewards, Christopher L. Eckes

Defensive Publications Series

This appeal exposes a critical structural risk in the trajectory of modern global technology: the destabilizing asymmetry between exponential physical infrastructure and linear human cognitive development. By optimizing resources exclusively for external execution milestones—such as aerospace transit, automated manufacturing, and centralized compute networks—modern innovation paradigms treat human agency as a passive, downstream variable.

This paper demonstrates that without the systemic deployment of cryptographically secure, localized cognitive mentorship and sovereign security scaffolding, accelerating technological matrices will induce widespread psychological alienation and cognitive fragmentation. We present a formal, non-negotiable appeal to the global engineering community to reprioritize individual psychological sovereignty as the …

Systemic Integration Of Lifelong Agentic Mentorship, Contextual Scaffolding, And Sovereign Guardian Protocols In K-12 Pedagogy, Christopher L. Eckes

Defensive Publications Series

This specification details the architecture for a non-centralized, lifelong educational operating system that integrates machine learning as an individualized cognitive accelerator, psychometric auditor, and sovereign security layer. This protocol systematically replaces age-segregated, standardized instructional rotations with an immutable Dual-Focus Baseline Matrix paired with a localized Lifelong Cognitive Mentor.

By tracking an individual's development continuously from the primary entry point (K-1) through adulthood, the system implements Probabilistic Scaffolding—balancing automated aptitude mapping with deliberately engineered "negative learning" spaces. Furthermore, it incorporates an active Guardian Sensor Layerutilizing real-time linguistic and behavioral anomaly detection to insulate the child from predatory coercion and manipulative algorithm …

Inference-Layer Decision Trace Logging And Coordinated Multi-Component Rollback For Ai Incident Response, Mukesh Kumar Singh

Defensive Publications Series

This disclosure describes two related technical methods for artificial intelligence (AI) incident response. The first method captures a defined set of data fields at each model inference event, including retrieval-augmented generation (RAG) context where applicable, and writes the resulting record to append-only storage with a cryptographic hash chain linking each record to its predecessor, producing a tamper-evident forensic log. The second method defines model rollback as a single atomic operation across five independently versioned components — model weights, inference configuration, downstream service dependency versions, safety policy configuration, and a training data snapshot reference — selected by a single composite identifier …

Pre-Emptive Bulk Inter-Satellite Handover Using Virtual Xn, Source-Anchor Retention, Lease Derived Context, And Deferred Amf Relocation, Dishant Parikh, Ravi Shekhar, Amit Kumar Singh

Defensive Publications Series

Non-terrestrial network (NTN) technology can provide ubiquitous coverage in fifth generation (5G) advanced and sixth generation (6G) networks. Proposed herein is an enhanced regenerative NTN architecture in which radio access network (RAN) and Access and Mobility Management Functions (AMFs) are hosted in satellite instances, while selected 5G core (5GC) functions remain on the ground. The proposed architecture supports seamless mobility as user equipment (UE) transitions from an outgoing satellite coverage area to an incoming satellite coverage area. To reduce interruption during satellite switchover, inter-satellite links (ISLs) interconnect satellite-hosted AMFs and enable a virtual Xn handover path between satellite-hosted gNodeBs (gNBs) …

The Helical Transmutation Manifest: A Field Theory Of 2d Membrane Information Substruction, Coordinate Z-Axis Mapping, And Thermal Phase Space Dynamics, Christopher L. Eckes

Defensive Publications Series

This paper presents a novel, non-perturbative topological field theory that unifies quantum mechanics, thermodynamics, and gravitation by redefining physical matter as emergent geometric structures from a lower-dimensional informational substrate. We postulate that the universe's fundamental baseline is a two-sided, non-orientable 2D informational membrane situated at the boundary z = 0. Using a newly defined Helical Transmutation Operator (\(\^{\mathcal{T}}\)), flat, complex probability densities are projected into a 3D+ runtime environment as continuous physical trajectories exhibiting helical geometries. By factoring in an independent spatial z-axis, we derive a geometric origin for gravitational mass-energy membrane tension and identify antimatter as a mirrored, left-handed …

Attack-Vector-Specific Context Modifier Taxonomy With Per-Factor Capping For Ai Incident Severity Scoring, Mukesh Kumar Singh

Defensive Publications Series

A taxonomy of situational context modifiers, specific to AI-security attack vectors rather than generic deployment characteristics, for use in adjusting AI incident severity scores. Each context modifier represents a distinct, named AI-security attack pattern (model/training-data compromise, retrieval-augmented-generation data exfiltration, prompt-based instruction override, unauthorized agent/privilege escalation, broader multi-agent escalation risk, and generic adversarial input absent a specific identified vector), each assigned a fixed base value reflecting its relative severity contribution and a per-factor cap preventing any single context from contributing beyond a defined ceiling regardless of its base value. The taxonomy is designed for use with a diminishing-contribution aggregation function (disclosed …

Cryptographic Hash-Based Incident Deduplication With Architecturally-Separated Acute And Chronic Harm Classification For Ai Security Incident Records, Mukesh Kumar Singh

Defensive Publications Series

A method for deduplicating AI security incident records using a deterministic, environment-salted cryptographic hash (HMAC-SHA256) computed over incident-identifying fields, stored as a mandatory, schema-validated field on every incident record within a layered incident-classification architecture. The architecture further defines a distinct classification layer that separates the recording of acute (immediate-impact) harm from chronic (long-term, systemically-accumulating) harm as parallel fields on the same incident record — including a longitudinal harm-accumulation indicator and a trust-erosion tracking field — rather than treating chronic harm as a special case requiring a separate deduplication or merge decision. This architectural separation allows acute and chronic AI harms, …

Dominant-Harm-Anchored Severity Scoring Engine For Ai Incident Classification With Diminishing-Contribution Context Modeling And Calibration-Aware Regulatory Trigger Confidence Bands, Mukesh Kumar Singh

Defensive Publications Series

A severity scoring system and method for classifying artificial intelligence (AI) security incidents. The system computes a severity score using a dominant-harm anchor: the highest-weighted harm dimension present in an incident is taken as the base score, with all other present harm dimensions contributing only half their summed weight, capped at a fixed maximum, preventing minor cumulative harms from arithmetically equalling a single severe harm. Situational context factors (attack-vector-specific) are added on top of the harm-anchored base score using a diminishing-contribution model in which each successive context, ordered by descending base value, contributes half the weight of the previous context, …

Ai Robot Sos — Constitutionally Mandated Public Domain Implementation Sandbox For Humanitarian Stress-Testing Of Open Robot Compatibility Standards, Edward D. H. Wang

Defensive Publications Series

Field: Open standards governance; humanitarian technology deployment; robot compatibility validation

Problem Solved: Open standards bodies historically validate specifications through laboratory testing and controlled pilot programs. No prior open standards governance framework defines a constitutionally mandated public domain implementation program for humanitarian deployment as a normative validation instrument — ensuring the standard works for real human needs in uncontrolled environments before and during commercial adoption.

Disclosure Summary: AI Robot SOS is a constitutionally mandated program of the AI Robot Foundation. It defines a public domain implementation sandbox through which RPnP™ and RP2P™ standards are deployed in humanitarian and public benefit applications …

Ai Robot Mark Certification Model — Wi-Fi Alliance-Style Open Standard Certification With Free Specification, Certified Mark, And Tiered Conformance Classes, Edward D. H. Wang

Defensive Publications Series

Field: Open standards certification; technology ecosystem governance; conformance testing architecture

Problem Solved: Open standards face a consistent adoption challenge: free specification but expensive certification creates a barrier disadvantaging smaller manufacturers. No prior robotics standard defines a certification model that explicitly separates free specification access from mark certification while defining graduated conformance classes accessible to implementations of varying capability and resource level.

Disclosure Summary: The AI Robot Mark certification model follows the Wi-Fi Alliance precedent — free specification, certified mark, conformance classes — applied to the AI robot ecosystem. Five RPnP™ certification profiles and three RP2P™ conformance classes define graduated entry …