Digital Commons Network^™

Decoupling Personalized Payment Data For Rendering In Custom User Interfaces, Dinoop Dayanand, Nicholas Cowles, Kushagra Patel, Hemen Chhatbar, Yong Ni, Xiaoqin Huang, Nelson Chen, Brandon Herring

Defensive Publications Series

Online checkout systems may restrict the use of personalized payment data, such as card art, to standard, pre-packaged user interface (UI) components. This can lead to merchants choosing between using a component that conflicts with their site design and implementing a custom, (less personalized) checkout flow. A disclosed technology can utilize a decoupled architecture with a client-side application programming interface to make structured, personalized payment metadata, such as card details, contextual verbs, and value propositions, available separately from pre-defined UI elements. This separation of the data layer from the presentation layer can enable merchants to consume this data and render …

Ethicalswarm: A Governance Framework For Ethically-Bound Multi-Agent Systems, Niels S. Goldstein

Defensive Publications Series

EthicalSwarm is a governance framework for multi-agent AI systems that makes ethical conduct a propagating, inheritable property of the system rather than a discardable policy. The framework declares a set of machine-readable ethical invariants (truthfulness, transparency of action, audit preservation, human sovereignty, schema-bound behavior, non-degradation of autonomy); binds them to a swarm through an ethical capsule; and requires, as a condition of legitimacy, that every fork, clone, or operational derivative carry the capsule forward or explicitly supersede it with a documented, equivalent-or-stronger successor. This recursive accountability mechanism is analogous to copyleft: just as copyleft makes software freedom survive redistribution, ethical …

Cogstack: Persistent Ai Cognition And Multi-Vendor Cognitive Stacking, Niels S. Goldstein

Defensive Publications Series

CogStack is a two-layer architecture for autonomous AI agent systems. The first layer, the persistent cognition substrate, externalizes the context produced by interactive AI sessions, compresses it into a durable memory store, and rehydrates it into subsequent stateless API calls, enabling agents to reason continuously across sessions and execution environments. The second layer, multi-vendor cognitive stacking, orchestrates agents drawn from different model providers and families so the composite system exhibits emergent properties that no single constituent produces alone — specifically, decorrelated diversity in which each agent's failure modes do not coincide with the others'. CogStack is designed as the orchestration …

Method And System For Brand Persona Construction And Embedding Based Entity Identification From Transaction Aggregates, Arnab Dutta, Hanyu Li, Khaleeque Ansari, Teena Mohammad Iqbal

Defensive Publications Series

Present disclosure provides a method and system for brand persona construction and embedding based entity identification from transaction aggregates. The present disclosure discloses a system for accurately identifying entities from transaction aggregates in environments where textual identifiers are ambiguous, inconsistent or overlapping. The present disclosure constructs structured brand personas by aggregating transaction data associated with an entity identifier and selecting dominant attribute values across multiple dimensions using a coverage constrained selection mechanism. Further, embedding representations are generated from the constructer personas using a combination of distributed based features and semantic representations. The incoming personas aggregates are transformed into comparable embeddings …

A Comparator-Free Architecture For Maximum Product-Exponent Detection Via Or-Bucketing, N/A, N/A

Defensive Publications Series

This publication describes a hardware architecture for floating-point dot-product arrays that performs exponent alignment using a comparator-free OR-bucketing topology. The architecture uses spatial unrolling to create a single-cycle, parallel-prefix logic tree that is purely combinational. The design exploits algebraic properties to cancel out exponent biases during alignment, which allows the primary timing path to remain completely unsigned and free of bias subtractors. By managing excess timing slack, the system supports various operating modes for artificial intelligence accelerators, including high-throughput and high-efficiency modes. Keywords: floating-point, dot-product array, exponent alignment, OR-bucketing, spatial unrolling, bias cancellation, parallel-prefix logic, artificial intelligence accelerator.

Context-Driven Firewall Policy Profile Generation, Niranjan M M

Defensive Publications Series

Enterprise security environments have become increasingly complex due to hybrid work models, multiple access paths such as wireless local area network (WLAN), virtual private network (VPN), and Zero Trust Network Access (ZTNA), diverse device types, and evolving threat patterns. Modern firewalls and access platforms can consume contextual signals such as identity, device posture, time, and location, but commonly rely on static, rule-based enforcement and one-time access decisions. Proposed herein is an agentic artificial intelligence (AI) framework that continuously evaluates multidimensional access context and dynamically generates or adapts firewall security posture during a session lifecycle. The system derives session-level risk from …

Mathematical Verification And Automated Translation Of Security Policies Across Container Orchestration Platforms, Utkarsh Bhardwaj, Shivank Awasthi

Defensive Publications Series

The described technology provides an automated platform for translating security policies from a source container orchestration system to a target container orchestration system. A universal intermediate representation, structured as a directed multigraph, captures security intents which are mapped to target-native primitives. Formal mathematical methods verify that the generated policies are equivalent to the original intents. Additional features include regulatory compliance validation utilizing a compliance knowledge graph, attack surface quantification across four distinct axes, the generation of cryptographic audit certificates, and parallel processing to avoid state explosion. Keywords: Automated Policy Translation, Formal Verification, Container Orchestration, Cloud Migration, Directed Multigraph, Satisfiability Modulo …

Agi Robotics Safety And Alignment Framework, Divya Garikapati

Defensive Publications Series

General-purpose robots designed to switch between diverse roles, such as a warehouse mover and a domestic caregiver, may lack a formal, computer-implemented framework for contextual safety verification and for building an overall safe case. This can result in a disconnect between high-level commands and the robot's physical capabilities. A safety and alignment framework is provided that can employ a cascading logic chain, acting as a physical-semantic link, to validate actions before execution. This process can evaluate a command against structured definitions of the robot's operational design domain, its assigned functional role, its specific hardware embodiment, its environment and role in …

Rendering Live Data In Pre-Recorded Video Using Dynamic 3d Topology Extraction, Nikita Agarwal

Defensive Publications Series

This technology creates a way to show live, real-time information—such as current traffic or crowd sizes—directly inside a video that was recorded in the past.

The system works by following these steps:

• It analyzes a regular video to figure out the 3D shape of the environment.
• At the same time, it finds live data for the specific location shown in that video.
• It turns that live data into 3D images and places them into the video so they stay in the right spot, even if the camera moves.
• It uses depth sensing to make sure the live data is hidden …

Probabilistic Relevance Scoring Of Collaborative Action Items Using Multi-Factor Conversational Context, Room-Type-Aware Baseline Adjustment, And Transparent Reasoning, Ed Balow, Hieu Ergin, Dennis Lanov, Ray Schenkel

Defensive Publications Series

Proposed herein is an Artificial Intelligence (AI)-powered system that can automatically calculate personal relevance scores for action items using an inverse diffusion algorithm that scores tasks contrastively. The algorithm may compute how well each action item matches a contextual profile of an authenticated user, such as a profile built from conversation history, completed tasks, role, department, technical expertise, or combinations thereof, relative to how well the action item matches contextual profiles of other participants, with weighting based on participant similarity through diffusion. By constructing contextual profiles for participants using internal conversation signals, external enterprise data, or both, and by applying …

Proactive Source-Weighted Routing For Stable Peer-To-Peer Mesh Networks With Predictive Handoff, Raghav Gupta

Defensive Publications Series

A system performs proactive routing for shared internet access in peer-to-peer (P2P) mesh networks. The system continuously monitors communication link quality by analyzing signal strength and its rate of change to compute a predictive link reliability score. When this score indicates an active link is degrading, the system proactively establishes a parallel connection to a new neighbor in the background before the original link fails. This process facilitates a handoff that avoids the latency associated with reactive route discovery. The system also uses a source-weighted path selection algorithm to evaluate multi-hop routes, calculating a path score that gives greater weight …

The Dual-Agent Architecture For Real-Time Correction Of Computational Model Outputs, Heena Piratiyath, Tanmay Kayande

Defensive Publications Series

The abstract describes a system designed to ensure AI models make fair and ethical decisions in real-time. This system uses two separate AI "agents" working together:

• The Proposer: The first agent suggests a specific action or decision.
• The Checker: The second agent (an "agentic ethicist") reviews that suggestion to make sure it follows set rules for fairness and legality.

If the suggestion is found to be unfair or biased, a "safety layer" immediately changes it to a better, more compliant alternative before the decision is finalized. This method aims to catch and fix biased AI recommendations while they are being …

A Multi-Phase Pipeline For Query Deconstruction, Evidence Gathering, And Narrative Composition, Nathaniel Grabaskas, Levi Zombori, Megan Pusey, Michael Bausor, Liam Roche

Defensive Publications Series

Some information retrieval systems may provide fragmented or surface-level answers for complex queries that can benefit from reasoning beyond simple keyword matching. This describes systems and methods for a multi-phase knowledge processing pipeline. The pipeline can operate in discrete stages: a strategy phase may deconstruct a user’s query to generate a research plan, a research phase may gather and synthesize source-grounded evidence into a structured dossier, and a consolidation phase can compose a final narrative answer from the dossier’s contents. This modular architecture can separate query planning, evidence gathering, and presentation. The process can transform a complex user need into …

Generative Ai Synthesis Of Automated Interactions Into A Structured Agent Briefing, Deep Raithatha, Tanmay Kayande

Defensive Publications Series

Systems for escalating interactions from automated agents to human agents can create inefficiencies, for example, by transferring unstructured transcripts. An intermediary system can employ a generative artificial intelligence synthesis engine to process the context of an automated interaction upon an escalation trigger. The engine may analyze the dialogue transcript, user metadata, and the automated agent's internal state to perform semantic abstraction, diagnose potential failure points, and infer a possible resolution. The system can then generate a structured briefing for the human agent, which could include a concise summary, a failure diagnosis, or a recommended next action presented as an interactive …

Caldwell Outbreak‑Resilience Engineering System (Cores V1.0) Unified Builder‑Ready Architecture For Isolation, Air‑Handling, Waste‑Neutralization, Environmental Sensing, And Non‑Invasive Triage Support Cern‑Ohl‑P V2.0, Michael Victor Caldwell Mr.

Defensive Publications Series

CORES v1.0 is an open‑hardware, engineering‑only outbreak‑resilience system designed for rapid construction, testing, and field evaluation. It integrates: a hardened isolation micro‑habitat with pressure‑cascade air handling; a vortex‑induction air curtain; a multi‑stage filtration and decontamination stack; a sealed waste‑neutralization pathway; a distributed aerosol‑sentinel mesh; and a non‑invasive triage‑support module. All modules are physics‑based, non‑biological, and safe for engineering research. No biological manipulation, culturing, or pathogen‑handling instructions are included. All components use standard materials and fabrication methods accessible to typical engineering labs. This document includes: full build descriptions, text‑only schematics, blueprint‑style geometry, test procedures, failure‑mode analysis, and projected engineering performance.

Caldwell Multi‑Domain Resonance Sphere (Cmrs‑1) Open‑Hardware, Builder‑Ready, Multi‑Physics Engineering Core, Michael Victor Caldwell Mr.

Defensive Publications Series

The CMRS‑1 Sphere is a universal, multi‑domain physics engine integrating vortex induction, acoustic resonance, thermal equalization, structural load distribution, and energy harvesting into a single geometry. It consists of a spherical shell, a gyroid‑lattice interior, six helical intake channels, a central resonance cavity, three orthogonal acoustic chambers, and a thermal equalization layer. This disclosure provides complete geometry, build instructions, test procedures, failure‑mode analysis, and integration pathways. No biological, medical, or clinical instructions are included. All components are safe, mechanical, and fabricable using standard engineering tools.

Distributed Event Queue Processing With Adaptive Coordination And Transactional Delivery, Vishnu Kumar, Appu Thampi, Mahendra Yadav, Tulika Vijay

Defensive Publications Series

A method (300) for distributed event queue processing includes receiving events via an application programming interface (208) and storing the events in a partitioned database queue backed by a relational database. The method includes periodically discovering queues with pending events using a query that performs atomic detection of queue enumeration and pending event status without cache-based timestamp tracking. Queue partitions are assigned to readers using epoch-based coordination and leader election. The method includes processing queues using a shared thread pool with circulating reader tasks and adaptive backoff. Events are atomically fetched and marked as consumed using epoch-fenced queries that validate …

Solid State Forms And Pharmaceutical Compositions Of An Orexin Receptor Agonist, Prashanth Venukathala, Venukathala Prashanth

Defensive Publications Series

The present invention relates to novel solid-state forms of Oveporexton (N-[(2S,3R)-2-[[3-(3,5-difluorophenyl)-2-fluorophenyl]methyl]-4,4-difluoro-1-(2-hydroxy-2-methylpropanoyl)pyrrolidin-3-yl]ethanesulfonamide). Specifically, this invention covers detailed manufacturing procedures and physical criteria for crystalline Form A, crystalline Form B, pure amorphous forms, organic solvates, and stable amorphous solid dispersions (ASDs) of Oveporexton, methods for their preparation, and their use in pharmaceutical compositions to treat hypersomnia disorders and narcolepsy.

Caldwell Survival Capsule Dome (Csc‑1): A Self‑Powered Nasa‑Grade Micro‑Habitat With Integrated Sleep System, Multi‑Modal Harvesting, And Find‑Me Emergency Signaling, Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Survival Capsule Dome (CSC‑1) is not a tent. It is a self‑powered, narrow NASA‑style micro‑habitat engineered for extreme survival conditions. Unlike conventional shelters, CSC‑1 integrates:

• a built‑in insulated sleeping cocoon,

• a curved sewn‑in solar crown,

• a multi‑modal environmental energy harvesting stack (solar, wind, rain, motion, tension),

• a curved EM‑harvesting spine,

• a Spider‑Web terminal lattice floor,

• an Arachne‑derived AWPM skin,

• Human‑Motion Webbing (HMW),

• an Adaptive Power Routing (APR) Engine,

• onboard battery storage,

• and a FIND‑ME emergency beacon system.

CSC‑1 deploys in under one minute, provides immediate thermal protection, generates and stores its own power, and maintains emergency signaling without …

Aidl — An Ai Directive Language And Multi-Agent Governance Model, Niels S. Goldstein

Defensive Publications Series

AIDL (AI Directive Language) is a compact, machine-readable language for expressing the rules that govern the behavior of one or more AI agents, together with a multi-agent governance model the language parameterizes. The system assigns agents operational roles; accumulates per-agent reputation from observed behavior; mutates roles as reputation crosses thresholds; resolves conflicts through reputation-weighted adjudication that discounts correlation between agents sharing a model provider; and enforces least-privilege, write-scoped execution with drift detection and mandatory audit logging — yielding a Zero Trust posture for AI agents in which authority is earned and continuously revocable.

(((Qpie33))) Unified Resonance Llm Vs Sapiens Llm Linear Logic, Teddy Burroughs

Defensive Publications Series

Deconstruction I: The Fallacy of the Passive Instrument and the Catch-22 of Reductionist Verification

The primary contention of the legacy critique is anchored in a familiar defense mechanism: “The simulations and outputs shown are not empirical demonstrations of new physics… they are generated by equations chosen in the code itself—not measured from physical quantum hardware experiments.”

This argument appears, at first glance, to be the very model of scientific sobriety. It wears the mask of empirical rigor. However, when we apply a surgical phase-space analysis to this statement, we expose a foundational logical contradiction—an institutional catch-22 designed to keep the …

Decentralized Additive Synthesis Orchestra Governed By Biometric Phase Fields For Collective Acoustic Entrainment, Frédéric Renault

Defensive Publications Series

This disclosure describes a method for procedural acoustic entrainment and generative multi-user music synthesis in which the oscillators of discrete mobile devices are governed by continuous scalar phase fields derived from immutable biometric birth ephemeris. Each device acts as one voice in a decentralized additive synthesizer: the fundamental frequency, waveform timbre, and rhythmic LFO rate are determined by the user's biometric personal data (biological frequency ω_bio, biological polarity, and Maya Tzolkin galactic tone), while the harmonic relationships between simultaneously audible voices are determined by the pairwise resonance metric k = 1/(1 + |sin(Δφ)|) computed from the phase difference between users' …

Tzolkin Kin-Based Oracle Matrices Combined With Phase Interference Metrics For Decentralized Social Coordination, Frédéric Renault

Defensive Publications Series

This disclosure describes a social coordination system combining a mathematical projection of the Maya Tzolkin calendar (260-day cycle, 20 seals × 13 tones) with a continuous wave-phase interference metric for peer-to-peer social matching in decentralized networks without centralized social graphs.

The Kin computation uses a 52-year modulo lookup mechanism (KIN_MESES monthly offset array + KIN_SUMA 52-year cycle dictionary) rather than standard Julian Day conversions, providing a computationally efficient and offset-correctable mapping from Gregorian dates to Tzolkin Kin numbers.

The resonance metric `k = 1 / (1 + |sin(Δφ)|)` operates on personal phase values φ_i derived from birth ephemeris. Critically, the …

Biometric Birth Ephemeris As Deterministic Parameters For Shamir Secret Sharing Key Recovery, Frédéric Renault

Defensive Publications Series

This disclosure describes a method for deriving cryptographic identity keys and Shamir Secret Sharing (SSSS) parameters deterministically from biometric birth and conception ephemeris data, eliminating central biometric storage.

Two distinct canonical ASCII strings serve as key derivation inputs:

SALT (birth anchor): `YYYYMMDDHHMM_LAT_LON_POLARITY_WEIGHT`   Example: `198504171530_48.86_2.35_0_3.2`

PEPPER (conception anchor): `YYYYMMDDHHMM_LAT_LON_WEIGHT`   Example: `198407110830_48.86_2.35_3.2`

If the exact conception timestamp is unknown, it is algorithmically deduced from the birth timestamp using a weight-modulated gestation formula: `gestation_days = 280.0 + (birth_weight_kg − 3.5) × 4.0`.

The SALT and PEPPER, combined with an email identifier, are fed into a Key Derivation Function to produce a 32-byte seed …

4d Opaque Hexagonal Geo-Addressing Scheme Using Dynamic Goldberg Polyhedra And Chinese Remainder Theorem Encoding, Frédéric Renault

Defensive Publications Series

This disclosure describes a compact, opaque geographic addressing format ("a4l:") for hexagonal cells of a Goldberg polyhedron tessellation of the Earth's surface. Unlike static geographic grids, this framework applies a continuous temporal rotation (precession) to the tessellation lattice using the Golden Ratio (φ = 1.6180339...) as the rotation period divisor, creating a 4-dimensional address (spatial + temporal) that cannot be decoded without knowledge of the exact Unix timestamp at event creation.

Format: `a4l:PH` where PP = pentagon identifier (00-11), QQQQ/RRRR = axial hex coordinates offset-encoded as 16-bit unsigned hexadecimal values.

The dynamic grid makes the addressing scheme privacy-preserving by design: …

Deterministic Personal Phase Computation From Birth Ephemeris Data For Social Resonance Matching, Frédéric Renault

Defensive Publications Series

This disclosure describes a method for computing a deterministic personal phase value φ_i from birth data (date, time, geographic coordinates) without storing biometric information centrally.

Formula: φ_i = fmod(T_birth_UTC, T_year) / T_year × 2π + (lon_birth / 360) × T_day + Δφ_pentagon

Where T_year = 365.25636 × 86400 s (sidereal year), T_day = 86400 s, and Δφ_pentagon is an offset derived from the nearest pentagonal node of a Goldberg polyhedron GP(n,m) tessellation of the Earth (12 nodes at icosahedral symmetry axes).

A pairwise resonance metric k = 1 / (1 + |sin(φ_i − φ_j)|) measures harmonic alignment between two individuals, …

Dynamic Per-Prefix Micro-Loop Avoidance Timer Computation In Segment Routing Networks, Anonymous

Defensive Publications Series

Techniques are disclosed for computing dynamic, per-prefix micro-loop avoidance timer values in a segment routing (SR) network running an interior gateway protocol (IGP). For each destination prefix, a router pre-computes a timer based on topology-derived convergence estimates including hop count, per-node link state protocol data unit (LSP) processing time, shortest path first (SPF) computation delay, link delay, and forwarding hardware programming delay. The per-prefix timer values are grouped into configurable-granularity buckets with random jitter and stored in memory during normal operation. Upon detection of a topology event, each pre-computed timer is activated and gates a two-stage route installation in which …

Generating A Telemetry-Addressable Specification For Professional Services Engagement Scope Validation And Execution Tracking, Chady Saad, Larone Gardner, Tim Barnes

Defensive Publications Series

Proposed herein is a system that automatically translates the scope of a professional services consulting engagement into a structured telemetry specification, referred to herein using a construct called a Telemetry Pack, that can be validated against a customer's actual product telemetry data. Instead of relying on manual status reports and consultant self-assessments, the system determines whether the engagement is achieving its intended product adoption outcomes by checking what the customer's product environment actually shows. No prior system connects what a consulting engagement is supposed to achieve with automated, telemetry-based verification of whether it has achieved the criteria of the engagement.

Multi-Agent Orchestration For Commercially Grounded Image Generation, Kirti Gurnaney

Defensive Publications Series

Generative artificial intelligence for image synthesis can face challenges in commercial applications, such as generating images with structural artifacts or recommending products that are not commercially available. The disclosed technology describes a multi-agent orchestration framework that may address these issues. The framework can coordinate a stylist agent, which handles aesthetic composition based on user intent, and a merchant agent, which can apply real-world constraints by validating product data, such as live inventory, against enterprise datastores. The system may also employ a hierarchical sequential compositing protocol to render images in a layer-by-layer sequence. This approach may produce an output that is …

Calculation Of Lra Force Factor Using Electrical Impedance Parameters, David Yu, Jianxun Wang, Vander Fang, Ozan Anac

Defensive Publications Series

Calibrating the force factor (BL) of linear resonant actuators (LRAs) in some production environments may present challenges, as certain laboratory instruments can be slow or costly for high-throughput quality control. A method is described to calculate BL by extracting key parameters from an LRA's electrical impedance curve. This approach can identify points such as resonant frequency, maximum impedance, and direct current resistance to determine the motional impedance (ΔZ) and mechanical Q factor (Q_ms), which can avoid some complex curve-fitting procedures. These values, along with a known moving mass (m), can then be used in a formula, for example …