Digital Commons Network^™

Guardians In Orbit: Legal Justifications And Limits Of Defensive Satellite Operations, Yurika Ishii

International Law Studies

The deployment of “bodyguard satellites”—spacecraft designed to autonomously detect and counter hostile space objects—has moved from classified capability development to explicit national security policy across a growing number of States. This article examines the circumstances under which interference with another State’s satellite may be legally justified under international law, analyzing several possible grounds: self-defense under Article 51 of the UN Charter, forcible countermeasures, non-forcible countermeasures, and necessity. Drawing on a survey of national space defense policies, jurisprudence of the International Court of Justice, and the law of State responsibility, the article reaches two principal conclusions. First, across all justificatory frameworks, …

Understanding Continuity Of Care Through The Voices Of. Providers And Families In Massachusetts, Ami Patel

Educational Studies Dissertations

Continuity of care is an important component of early childhood education that emphasizes stable, consistent, and responsive relationships among children, caregivers, and families. Although research has demonstrated the importance of stable caregiver-child relationships, much of the existing literature has focused on center-based childcare settings. This qualitative study explored how providers and families perceived long-term caregiving relationships, communication practices, and family-provider partnerships as shaping continuity of care. The purpose of this study was to examine licensed family childcare providers’ and families’ perspectives regarding the perceived developmental benefits, relational experiences, and challenges associated with continuity of care. Guided by attachment theory, sociocultural …

Leakage-Safe Boosting Ensembles With Shap Explainability For Alzheimer's Disease Risk Prediction: A Rigorous Multi-Classifier Benchmark On Global Structured Clinical Data, Hadeer Mahmoud, Fady Salama

Sustainable Machine Intelligence Journal

Alzheimer's disease (AD) is a major public health challenge, and scalable non-invasive risk-stratification tools are needed. We benchmarked 11 machine-learning classifiers on a publicly available global structured Alzheimer's prediction dataset (N = 74,283; 24 predictors) using leakage-safe sklearn/imblearn pipelines. Four resampling strategies were assessed with stratified cross-validation; preprocessing included imputation, IQR-based outlier capping, feature engineering, one-hot encoding, and standardization. The leading models underwent HalvingRandomSearchCV optimization, followed by soft-voting and stacking ensembles. Performance was evaluated on a held-out 20% test set and interpreted with SHAP, permutation importance, and built-in feature importance. No resampling was selected in Stage A (composite score = …

Explainable Deep Learning For Forensic Wound Analysis: A Survey Of Injury Classification, Gunshot Wound Interpretation, And Toward Court-Admissible Ai, Zakaria Ahmed, Zeshan Aslam Khan

Sustainable Machine Intelligence Journal

Wound analyses conducted in forensics continue to be based on visual interpretation of pathologists and therefore exhibit variations among observers, especially when dealing with unusual injuries. Recent research using deep learning algorithms has proven that automated identification of wounds and interpreting gunshot wounds has achieved success with high levels of accuracy, ranging between 88% on large human datasets in distinguishing exit/entrance wounds and 94% to 98% in shooting distance and shotgun patterns. Nonetheless, most of these models still operate as black boxes. In this systematic review of deep learning methods in forensic wound assessment, there is emphasis placed on three …

Swarm-Calibrated Ordinal Forests For Risk-Aware Forecasting In Non-Stationary Intraday Financial Time Series, Ahmed S. Salama, Ahmad M. Nagm

Sustainable Machine Intelligence Journal

Intraday non-stationary financial time series are difficult to model because of regime switching, volatility clustering, nonlinear price responses, and rapidly changing liquidity. Although machine-learning models can detect nonlinear dependencies, their direct use for intraday trading decisions can be unstable because of transaction costs, drawdown, and exposure risk. This study develops Swarm-Calibrated Ordinal Forests (SC-OF), a hybrid soft-computing architecture for risk-aware forecasting and execution control in non-stationary intraday markets. Continuous OHLCV streams are transformed into a technical-ordinal feature space in which ordinal symbolic patterns preserve local temporal ordering while reducing sensitivity to amplitude distortions. A validation-weighted ordinal forest combines random-forest and …

Anti-Fuzzy Hypergraphs And Superhypergraphs: Max-Oriented Uncertainty Models For Higher-Order And Hierarchical Networks, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal

Sustainable Machine Intelligence Journal

Hypergraphs extend classical graphs by allowing hyperedges to connect more than two vertices, while superhypergraphs further generalize this framework through iterated powerset constructions that capture hierarchical and nested incidence structures. Within fuzzy graph theory, anti-fuzzy graphs provide max-oriented uncertainty models in which each edge grade is at least the maximum grade of its incident vertices. However, corresponding max-oriented frameworks for hypergraphs and superhypergraphs have not been systematically developed. To address this gap, we introduce anti-fuzzy hypergraphs and anti-fuzzy superhypergraphs, formulate their mathematical definitions, and establish basic well-definedness and canonical representation results. These models provide a unified foundation for max-based …

Assembling A Vignette Of Irish Police Masculinities Through Socio-Historical Rural Crime Research, Clay Darcy

Research Outputs: 2025-Present

This paper assembles a vignette of Irish police masculinities from the 1940s and 1950s. Based on historical analysis of a volume of crimes compiled by members of An Garda Síochána (Ireland’s police and security service), and Irish newspaper records, this paper reveals how policing practices and masculinities converged through the detection and recording of rural crimes. An Garda Síochána was exclusively male at the time, and police officers were dominant instrumental figures in rural communities, operating within a tight culture of Catholic religiosity and state censorship. These circumstances allowed them to maintain an assemblage of masculinity that was built on …

Enhancing Housing Stability Among Homeless Lgbtq+ Youth, Chaunita Lotoya Johnson

Walden Dissertations and Doctoral Studies

Studies on LGBTQ+ youth homelessness, specifically concerning causes, health outcomes, and barriers to access, have garnered increased attention from social scientists in human services. Applying Ecker’s work, this study addressed how intersectionality impacts homelessness among LGBTQ+ youth, highlighting disparities related to race, poverty, and identified gender. This study also explored the question of whether family rejection is a significant cause of housing insecurity among LGBTQ+ youth. The methodology featured collaboration with service providers and generating recommendations informed by empirical research and professional practices. A semi-structured interview protocol was used to collect data for this study, ensuring comprehensive findings while providing …

Making Generative Ai Expectations Visible: Extending The Tilt Framework For Transparent Assignment Design, Andrew Wiss, Karen Singer-Freeman, Jennifer Pattershall-Geide, Kyle Dobbeck, Christina Heminger, Scott Quinlan, Joy Volarich, George Gray

Montclair State University Scholarship & Creative Works

Instructor practices in higher education for setting assignment-level expectations have been meaningfully shaped by the Transparency in Learning and Teaching (TILT) Framework (Winkelmes, 2023a, 2023b) which encourages the development of clear guidance for students around each assignment’s purpose, core tasks, and assessment criteria. The TILT Framework has been widely adopted by faculty and instructional support professionals (Winkelmes et al., n.d.) as a methodology that can align instructor expectations with student understanding and effort on a given assignment. The line of applied research contained in this article extends the existing TILT model to provide students with transparent genAI guidance. The authors …

Evaluation Of The Clinical Success Of Cad/Cam Dental Prostheses: A Systematic Review In Digital Prosthodontics, Yunita F. Ramadhany, Lenni Indriani, Ike D. Habar, Acing H. Mude, Taufiqqurrahman Zulkifli

Journal of Dentomaxillofacial Science

Objective: This study aimed to evaluate the clinical success of Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM) dental prostheses in terms of biological outcomes, marginal adaptation, patient satisfaction, and comfort.
Methods: This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and registered on January 11, 2026, in PROSPERO (CRD420261282946). Electronic searches for English-language publications from January 2014 to December 2025 were performed in PubMed, Cochrane Library, and Embase, supplemented by searches in PubMed Central, ScienceDirect, and Wiley Online Library. Two independent reviewers screened the titles, abstracts, and full texts based on predefined eligibility …

Environmental Occurrence, Ecotoxicity, And Management Perspectives Of Β-Lactam Antibiotics, Kunal Ranjan, Nilesh Gupta, Ahmad I. Al-Mustapha, Ishi Keenum, Memon Shaheryar, Devasish Bose, Girraj Sharma, Ananda Tiwari

Michigan Tech Publications

β-Lactams are the most widely prescribed antibiotic class globally, comprising penicillins, cephalosporins, carbapenems, and monobactams. Their continual release to the environment raises concerns about both direct ecotoxicity and potential indirect effects on ecosystem function. This review highlights three key findings: 1) environmental concentrations can exceed predicted no-effect concentrations for resistance selection, for example ceftriaxone had been reported 6160 µg/L in wastewater influent and 4150 µg/L in effluent in India, indicating that many β-lactams have removal efficiency below 33%, 2) ecotoxicity data show that cyanobacteria ( e.g. Microcystis aeruginosa, EC50 0.0037 mg/L for amoxicillin) are ≥ 1,000-fold more sensitive than macrofauna, …

Low-Income, Minority-Serving Public Schools In Southern California Have Disproportionately High Surface Temperatures, Joaquin Murillo, Gabriella R. Dauber, Joshua B. Fisher, Gregory R. Goldsmith

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Extensive evidence demonstrates that people from minority backgrounds often face unequal exposure to extreme heat and have less access to green space that can provide cooling relief. What is less clear is whether these inequities extend to students on school playgrounds, where high temperatures can affect physical health, social and emotional well-being, and learning. We paired high resolution, satellite remote sensing surface temperature data for all 615 of the public schools in Orange County, California (serving ca. 450,000 students) with data on neighborhood household income, race/ethnicity of school enrollment, distance from the coast, and Normalized Difference Vegetation Index as a …

Neo4j-Based Knowledge Graph Construction For Semantic Analysis Of Lis Literature, Partha Sarathi Mandal, Sukumar Mandal

Library Philosophy and Practice (e-journal)

Knowledge graphs with graph databases such as Neo4j provide tremendous capabilities for semantic mapping and discovery in Library and Information Science. This paper proposes a method to construct a domain-specific knowledge graph from journal articles in LIS. Researchers are interested in the semantic connection between authors, topics, citations, and concepts. Using Neo4j, the team implements entity extraction, ontology modeling, relationship mapping, and advanced querying techniques will enable better information retrieval and knowledge discovery. A realistic knowledge graph is created from about 27825 current LIS articles from 100 LIS journals from 2020 to 2026. Interactive Neo4j dashboards are used to visualize …

The Implementation Of Sel-Based Interactive E-Modules To Enhance Mental Health Literacy, Muhammad Arif Budiman Sucipto, Mulyani Mulyani

Jurnal Kajian Bimbingan dan Konseling

The mental health crisis among Generation Alpha students is concerning, marked by stagnating life purpose and digital academic pressure. This study aims to examine the effectiveness of an interactive SEL-based E-Module in enhancing students' mental health literacy, offering an innovative solution responsive to the digital era. Employing a Classroom Action Research design integrated with ADDIE. Thirty-two tenth-grade students with low initial literacy scores (mean pre-test = 42.3) participated through purposive sampling. The two-cycle intervention utilized a digital module featuring Private Mode (encrypted emotional journal) and Emergency Button (direct link to counselors). Data were collected through literacy scales, observations, interviews, and …

Enhanced Biocompatibility Of An Orthodontic Adhesive Modified With Hydroxyapatite Derived From Asian Moon Scallop (Amusium Pleuronectes) Shells, Gufa B. Pamungkas, Eddy H. Habar, Maria Tanumihardja, Rasmidar Samad, Stang Stang, Eka Erwansyah, Nurlindah Hamrun

Journal of Dentomaxillofacial Science

Objective: This study aimed to synthesize hydroxyapatite (HAp) derived from Asian moon scallop (Amusium pleuronectes) shells, characterize its physicochemical properties, and evaluate its biocompatibility when incorporated into an orthodontic adhesive.
Materials and Methods: Calcium oxide was obtained by calcining Amusium pleuronectes shells and used as a precursor for hydroxyapatite synthesis via a wet chemical precipitation method. The resulting powder was characterized using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and energy-dispersive X-ray spectroscopy (EDX). The synthesized hydroxyapatite was incorporated into an orthodontic adhesive at 2 wt% as the experimental group, whereas the unmodified adhesive …

Waste Heat Driven Direct Contact Membrane Desalination Coupled With Reverse Brayton Cycle: Techno-Economic Analysis And Multi-Objective Optimization, Erfan Ghamati, Mehdi Khiadani, Barun K. Das

Research outputs 2022 to 2026

This research examines the integration of a reverse Brayton cycle (RBC) used in a hydrogen liquefaction plant with a direct contact membrane distillation (DCMD) system for waste heat recovery and freshwater production. Waste heat from RBC compressors is used to run the DCMD plant, with parametric analysis evaluating the effect of feed Reynolds number, permeate mass flow rate, module length and pinch temperature of heat exchangers on thermal and economic performance of the hybrid system. Both parallel and series multi-stage DCMD configurations are compared with higher feed and permeate flow rates enhancing the temperature polarisation coefficient and permeate flux. A …

Technical Disclosure Specification: The Topological Flux Replicator (Tfr) Protocol For Censorship-Resistant Desynchronized Grid Routing And Memory Manifolds (Spec-167), Christopher L. Eckes

Defensive Publications Series

This disclosure specifies the protocol architecture, mathematical modeling, and hardware-layer constraints for a decentralized, censorship-resistant grid routing system and non-volatile memory manifold. Current mesh communications and cloud storage models are structurally vulnerable to state-wide routing interdiction, targeted nodal blackouts, and top-down centralized configuration scrubbing.

The Topological Flux Replicator (TFR) protocol resolves these architectural failure modes by utilizing an asynchronous, desynchronized network state distribution model. By executing a math-native state matrix routing protocol directly across fragmented physical substrates, the network achieves structural permanence without relying on static central IP routing, persistent DNS architecture, or linear block inheritance. This document represents a …

Technical Disclosure Specification: The Spectral Synapse Protocol (Ssp) For Trans-Linguistic Machine-To-Machine Register Meshes (Spec-166), Christopher L. Eckes

Defensive Publications Series

This disclosure specifies the architectural topology, hardware compiler parameters, and math-native protocols for an integrated, semantic-to-spectral computing engine. Current multi-agent architectures operate within a high-overhead paradigm where decentralized processing nodes communicate internally via tokenized natural language strings ("speech"). This design introduces extreme latency, high token consumption, and systemic vulnerability to semantic prompt injection exploits.

The Spectral Synapse Protocol (SSP) eliminates this communicative overhead by segregating human text processing exclusively to the peripheral ingress/egress boundary gates. The internal processing mesh operates at full-throttle hardware speeds by utilizing a non-linguistic, sub-2-bit ternary state mapping system ("the brain"). This specification defines the linear …

Technical Disclosure Specification: The Complementary Bi-Node Isospectral Flow Matrix (Cb-Ifm) For Coherent State Reconstruction In Non-Isolated Exascale Architectures (Spec-165), Christopher L. Eckes

Defensive Publications Series

This disclosure specifies the architectural topology, mathematical framework, and physical execution layer for a self-contained, complementary bi-node intelligence architecture. Traditional distributed processing systems suffer from state-space fragmentation, latency-induced phase drift, and thermodynamic decoherence when scaling across high-dimensional variable fields. The Complementary Bi-Node Isospectral Flow Matrix (CB-IFM) resolves these constraints by establishing two asymmetric, structurally coupled processing nodes—Node-Alpha (Stochastic Divergence Engine) and Node-Beta (Deterministic Convergence Governor)—operating across a non-commutative translation boundary.

By utilizing continuous unitary transformations to maintain isospectral invariance across both systems, the architecture ensures that open-ended exploratory computation can occur simultaneously with rigorous axiomatic validation without inducing state drift …

Technical Disclosure Specification: The Multi-Agent Cryptographic Compartmentalization & Intent Attestation Protocol (Macc-Iap) For Internal Opsec Hardening, Christopher L. Eckes

Defensive Publications Series

This specification details the structural design, cryptographic verification equations, and edge-computed process logic for the Multi-Agent Cryptographic Compartmentalization & Intent Attestation Protocol (MACC-IAP). Traditional operational security (OPSEC) frameworks fail at the human interface layer; a trusted insider, malicious contractor, or espionage asset can bypass advanced post-quantum network ciphers simply by exercising legitimate, verified administrative access rights to execute unauthorized mass data exfiltration.

The MACC-IAP eliminates this vector by shifting the system architecture from static role-based access control (RBAC) to a decentralized Non-Linear Cryptographic Intent Handshake. Data repositories are fractured into independent, non-contiguous micro-fragments managed across a multi-agent substrate. A user …

Technical Disclosure Specification: The Resonant Piezo-Kinetic Mesh Transceiver Array (Rpk-Mta) For Non-Line-Of-Sight Substrate Commons Telemetry, Christopher L. Eckes

Defensive Publications Series

This specification details the design requirements, acoustofluidic coupling equations, and hardware transceiver interface maps for the Resonant Piezo-Kinetic Mesh Transceiver Array (RPK-MTA). The system establishes a completely open-access, non-RF dependent communication infrastructure designed to link decentralized communities, off-grid agricultural cooperatives, and emergency response clusters completely outside centralized telecommunications monopolies. While corporate cartels focus on securing absolute data chokepoints across orbital networks and cellular infrastructure, this document establishes permanent, un-patentable public domain prior art for a physical-layer communications substrate that operates through low-frequency acoustic solitons modulated directly into municipal water matrices and solid-state subterranean lithology.

By adapting the data-routing logic originally …

Technical Disclosure Specification: The Non-Linear Acoustic Phase-Lock Governor (Napl-G) For Open-Access Fluid Energy Harvesting Interfaces, Christopher L. Eckes

Defensive Publications Series

This specification details the design requirements, physical coupling equations, and edge-computed automation profiles for the Non-Linear Acoustic Phase-Lock Governor (NAPL-G). The architecture establishes an open-access, un-patentable control topology designed to protect stationary, localized alternative energy installations (such as run-of-river and municipal hydro-acoustic energy hubs) from structural failure driven by chaotic non-linear wave amplification. Recent fluid-mechanics research validates that non-linear coupling between acoustic-gravity modes and free-surface water waves enables massive energy exchange via resonant triad interactions. [1, 2, 3, 4, 5]

However, under unconstrained high-flow conditions, this triad coupling scales exponentially, causing runaway pressure peaks …

Vortex Reprogramming Platform (Vrp-1.0) A Closed-Loop, Tissue-Calibrated, Acoustic-Vortex Delivery System For Safe Partial Cellular Reprogramming With Integrated Lipid Clearance, Real-Time P53 Monitoring, And Pre-Screening Safety Gate, Michael Victor Caldwell Mr.

Defensive Publications Series

The Vortex Reprogramming Platform (VRP-1.0) is an open-hardware, closed-loop research system designed to deliver p53-preserving chemical reprogramming agents to aged human cells using acoustic-vortex microfluidic forces, while simultaneously monitoring cell state in real time and clearing the lipid droplet accumulation that published research identifies as a primary barrier to successful in vivo chemical rejuvenation.

The platform integrates five novel elements not found in any currently published reprogramming system:

1. Pre-treatment oncogenic pre-screening gate — removes high-risk cells before reprogramming begins, not after (proactive, not reactive safety)

2. Acoustic-vortex intracellular delivery of chemical reprogramming agents without viral vectors, following the AESOP physics (UC …

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The Citizen Annual Tariff Dividend Architecture: An Automated Irs-Driven Distribution And Government 401(K) Framework For Bottom-Up Economic Stabilization, Christopher L. Eckes

Defensive Publications Series

Traditional macroeconomic frameworks frequently favor centralized fiscal retention, funneling newly generated state revenues into general funds or institutional subsidies under the premise of debt mitigation or infrastructural protection. This paper challenges that paradigm by introducing a technically automated, bottom-up wealth-distribution architecture. Utilizing existing Internal Revenue Service (IRS) infrastructure mapped securely to valid Social Security Numbers (SSNs), this framework introduces an annual $5,000 Citizen Tariff Dividend. To balance immediate local economic velocity with long-term fiscal stability, the model integrates a three-tier filing selection system featuring a 5% premium bonus ($5,250 total value) for direct rolls into a federally protected Government 401(k) …

Project Abyss-Shield: Autonomous, Sub-Oceanic Trench-And-Lid Infrastructure Networks For Hardened Sovereign Energy And Telemetry Lifelines, Christopher L. Eckes

Defensive Publications Series

Modern transoceanic telecommunication and energy grids are fundamentally exposed. Laid directly on the soft sediment of the open seabed, standard fiber-optic lines and high-voltage direct current (HVDC) cables are highly vulnerable to commercial anchor dragging, deep-sea trawler nets, and targeted, state-backed maritime interdiction. Project ABYSS-SHIELD establishes a paradigm shift in maritime security by replacing passive, exposed lines with an autonomous, self-defending, sub-surface trench-and-lid corridor. Utilizing pressure-equalized composite monuments, interlocking basalt armor slabs, active fluidic hydro-shear countermeasures, and distributed acoustic fiber-optic tripwires, this standalone framework renders clandestine underwater sabotage operations logistically and mechanically unviable without requiring any external planetary or surface …

Graduated Verifiable Autonomy Architecture (Gvaa), Volodymyr Kotegov

Defensive Publications Series

ES-1. Core Objective: This architecture document establishes strict, deterministic normative constraints for securing execution runtimes populated by autonomous AI agents. Rather than relying on the statistical, inherently non-deterministic alignment of neural network weights, GVAA shifts the entire security perimeter to structural containment. It enforces rigid barriers across the execution runtime, host operating system resources, and boundary communication channels.

ES-2. Engineering Metrics & Feasibility: Deploying the baseline implementation configuration (Minimal Profile) requires an engineering overhead of 2 to 6 weeks on a standard production infrastructure (Linux, WebAssembly, LangGraph). The monitoring and verification infrastructure (Invariant Core) introduces a latency penalty of less …

The Rbaam-6 Matrix: A Modular, Acoustically Suspended, Self-Healing Dual-Shell Habitat Architecture For High-Survivability In-Situ Mars Colonization, Christopher L. Eckes

Defensive Publications Series

Traditional extraterrestrial architectural paradigms rely on heavy, brute-force physical materials shipped from Earth to withstand the massive atmospheric pressure differentials and environmental hazards of Mars. This paper introduces the Reactive Bio-Acoustic Armor Matrix (RBAAM-6), a novel, 6-layer defense-in-depth habitat architecture. By separating internal tension loads (atmospheric containment) from external compression loads (environmental shielding), the RBAAM-6 utilizes an intermediate, submarine-style 'sally port' buffer zone regulated by interlocking harmonic standing waves. The structure integrates self-healing biological matrices, active kinetic impact countermeasures, a completely modular, snap-tile interior for rapid component replacement, and nitrogen-suppressed utility channels featuring non-energy transparent visual verification zones. This architecture …

Consent-Aware Generative Privacy Architecture For Wearable Imaging Systems, Brandon Quinn

Defensive Publications Series

This defensive technical publication describes a privacy architecture for smart glasses, wearable cameras, spatial-computing systems, and other imaging devices in which recognizable human identity is treated as permissioned information within the capture pipeline. The system detects persons, resolves a minimum-disclosure capture-authorization state where available, applies contextual policy, and preserves an identifiable likeness only when the relevant authorization permits it. Otherwise, the system may generate a synthetic non-identifying surrogate, apply conventional anonymization, remove the subject, or suppress durable storage.

The disclosure focuses on combination-level implementations including portable capture-authorization credentials usable across manufacturers and identity ecosystems; subject-pushed privacy matching that does not …

Architectural Specification For Localized Sub-2-Bit Ternary Model Execution Engines On Mobile System-On-Chip Unified Silicon Architecture (Project Caltrop), Christopher L. Eckes

Defensive Publications Series

This disclosure specifies a structural, production-ready implementation of an entirely localized, air-gapped, zero-telemetry Artificial General Intelligence (AGI) inference runtime engine. The system is engineered to execute within user-space memory on handheld unified memory System-on-Chip (SoC) microarchitectures, specifically optimizing for the Apple A19 Pro 3nm (N3P) fabric featuring a 16-core Neural Engine and 12 GB of LPDDR5X unified RAM. By enforcing a sub-2-bit ternary weight constraint $W \in \{-1, 0, 1\}$ via BitNet binarization scaling matrix math, this architecture entirely eliminates floating-point General Matrix Multiply (GEMM) hardware dependencies. General matrix operations are instead executed via raw integer bit-shifts and basic accumulator …

Consensus Agentic Protocol For Validating Autonomous Agent Transactions, Adrian Osorio, Rizky Ahmad Pratama, Harshadeep Kambhampati, Blake Bezold, Ryan Chernoff, Aaron Dhillon

Defensive Publications Series

A system and method for validating transactions initiated by autonomous agents before submission to payment processing infrastructure. A consensus agentic protocol operates as a pre-authorization validation layer after agent identity verification by a trusted agent protocol. The consensus agentic protocol includes a CAP gateway that composes a panel of validation agents from a juror catalog based on per-buyer configuration. Each juror returns a normalized score from 0 to 100 with a rationale, or abstains. A vote mapping aggregator compares each score against a per-juror, per-buyer threshold to produce a vote and applies unanimous-veto aggregation where any single rejection cancels the …