Digital Commons Network^™

Metarag: Identifying Website Owner Using Meta-Path-Guided Dynamic Graph Retrieval-Augmented Generation, Cheng Tu, Yunshan Ma, Bingyang Guo, Qianyu Li, Yang Li, Min Zhang, Fan Shi, Xiang Wang

Research Collection School Of Computing and Information Systems

Website owner identification aims to link websites to their real-world owners, which is crucial for credibility assessment and information provenance in information retrieval and vital for applications in cybersecurity, Internet governance, and digital regulation. Existing approaches for website owner identification primarily rely on querying infrastructure registration records or analyzing webpage content. However, these methods often fail due to incomplete or outdated registration records and sparse webpage content. We observe that inter-website relationships, derived from shared infrastructure data such as primary domains, IP blocks, and geolocations, can provide valuable but underutilized ownership cues. To exploit this insight, we propose MetaRAG, a …

Originalism’S Impact On The Sovereignty Of Indian Nations, Julian Allber

Student Works

No abstract provided.

A Franciscan Approach To Lawyering, Christopher C. Van Haight

Student Works

No abstract provided.

The Indirect Taxes, Conor Clarke, Ari Glogower

Scholarship@WashULaw

Article I of the Constitution empowers Congress to “lay and collect Taxes, Duties, Imposts and Excises.” It is arguably Congress’s most important power. A government’s first task is to fund itself, and the absence of an enforceable funding mechanism under the Articles of Confederation was a primary reason for the Constitution in the first place. Yet scholarly and judicial attention has focused mostly on the term “taxes” (and specifically what constitutes a “direct tax” that must be apportioned) while largely overlooking the three terms that follow—the duties, imposts, and excises that are collectively known as the “indirect taxes.” 

While poorly …

Logupdater: Automated Detection And Repair Of Specific Defects In Logging Statements, Renyi Zhong, Yichen Li, Jinxi Kuang, Wenwei Gu, Yintong Huo, R. Michael Lyu

Research Collection School Of Computing and Information Systems

Developers write logging statements to monitor software runtime behaviors and system state. However, poorly constructed or misleading log messages can inadvertently obfuscate actual program execution patterns, thereby impeding effective software maintenance. Existing research on analyzing issues within logging statements is limited, primarily focusing on detecting a singular type of defect and relying on manual intervention for fixes rather than automated solutions.To address the limitation, we initiate a systematic study that pinpoints four specific types of defects in logging statements (i.e., statement code inconsistency, static dynamic inconsistency, temporal relation inconsistency, and readability issues) through the analysis of real-world log-centric changes. We …

The Impact Of Generative Ai Training On Teachers’ Curriculum Adaptation Using Reflective Practices, Areej Elsayary

All Works

Generative AI tools offer teachers opportunities to adapt curricula to meet diverse student needs. However, many educators lack the structured training and reflective frameworks necessary for effective and critical use of these tools. Numerous studies have examined the appropriate use of generative AI (GenAI) tools in facilitating differentiation, feedback, and personalized learning. However, teachers need to be trained on the “what” and “how” of integrating GenAI into curriculum adaptation to ensure a positive impact on student learning. This study evaluates the impact of training in-service teachers to use GenAI tools for curriculum adaptation. Specifically, the study investigates three research questions: …

Generative Ai Adoption And Solvers' Popularity On Supply-Driven Crowdsourcing Platforms: The Dual Role Of Price Signals, Zimeng Zhu, Carol Hsu, Fiona Fui-Hoon Nah, Na Liu

Research Collection School Of Computing and Information Systems

Purpose – We investigate the effect of solvers’ adoption of Generative AI (GenAI) on their popularity in a supply-driven crowdsourcing platform. We also examine the impact of price signals as well as their heterogeneous impact based on the solvers’ membership duration on the platform. Design/methodology/approach – Our analysis focuses on solvers who adopt GenAI for design-related gigs on the supply-driven crowdsourcing platform. By combining propensity score matching (PSM) with multi-period difference-in-differences (DID), we examine how GenAI adoption impacts solvers’ popularity and how price signals affect this main effect. Findings – Our findings reveal that solvers who adopt GenAI tend to …

Semantic-Structural Decoupling: Disentangling Semantic Attention From Structural Bias In The Attention Manifold, Pengkun Jiao, Bin Zhu, Jingjing Chen, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

The empirical success of attention mechanism in Multimodal Large Language Models (MLLMs) often obscures its inherent, subtle flaws. Specifically, MLLMs consistently exhibit disproportionate attention toward certain semantically uninformative visual tokens, a phenomenon termed "register" or "Visual Attention Sinks." While existing inference intervention methods attempt to identify these sink tokens and redistribute their attention weights, such approaches typically treat these tokens in isolation and suffer from computational inefficiency. Instead, we reframe this phenomenon as a generalized textual bias exerted over visual features that extends beyond isolated sink tokens. From this perspective, a pervasive structural bias leads to the dilution of the …

Spatialimaginer: Towards Adaptive Visual Imagination For Spatial Reasoning, Yian Li, Yang Jiao, Bin Zhu, Tianwen Qian, Shaoxiang Chen, Jingjing Chen, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Spatial intelligence, which refers to the ability to reason about geometric and physical structure from visual observations, remains a core challenge for multimodal large language models. Despite promising performance, recent multimodal large language models (MLLMs) often exhibit fragile reasoning traces in spatial intelligence tasks that involve consistent spatial state recognition. We argue that these failures stem from a mismatch between the spatial recognition mechanism and the text-only reasoning behavior of these MLLMs. Effective spatial reasoning requires low-level geometric structure to be faithfully preserved and updated throughout the reasoning process, whereas textual representations tend to abstract away precisely these critical details. …

Expanding Ai Literacy: The 5cs Of News Literacy In The Era Of Generative Ai, Seth Ashley, Adam Maksl, Paul Cook

Journal of Media Literacy Education Pre-Prints

This article adapts the 5Cs framework of news literacy—context, creation, content, circulation, and consumption—to media environments shaped by generative artificial intelligence. We argue that prevailing discussions of AI literacy overemphasize technical or functional competencies while underemphasizing the social, cultural, political, and communicative systems in which AI operates. Drawing on previous research, we define AI literacy as knowledge of the technical, social, and ethical dimensions of AI-mediated content production, distribution, and consumption, along with the critical capacities needed to exercise agency within those processes. We show how the 5Cs can be reinterpreted for generative AI environments and integrate pedagogical implications for …

Decoupled Multi-Objective Optimization For Document Generation Using Intermediate Representations, Pinkesh Badjatiya

Defensive Publications Series

Generating long-form documents from large, diverse data sources can present challenges for some generative systems, which may exhibit unstable optimization and difficulty isolating various error types, such as factual hallucination or poor evidence selection. A disclosed technology can address these potential issues using a decoupled, two-stage framework. An offline stage can perform multi-objective optimization by distilling source data and a candidate draft into intermediate representations for selection salience, informational semantics, style, and factual provenance, which can provide granular feedback for refining generative prompts. In an online stage, these optimized prompts can be compiled for efficient, low-latency document generation. This separation …

System And Automated Method For Isomorphic Concept Discovery And Cross-Domain Architectural Synthesis Via Controlled Hallucination And Reverse Constrained Mapping: Vector-Isolated Rag Pipeline And Bi-Directional Optimization Loop For Open-Domain Structural Analogy Generation., Herbert Gillis

Defensive Publications Series

An automated data processing system and computer-implemented method are disclosed for programmatically synthesizing novel structural architectures in a vacant target domain space utilizing the invariant physical or structural laws of a highly validated source domain. The system executes a generative forward loop by extracting an ordered tuple of structural and functional mechanics from a source domain, removing forward-validation lexicon filters, and enforcing aggressive semantic isolation and lexical pruning to block known industry-specific terms. Forced into a vector space void, an optimization engine or generative model synthesizes a structurally constrained neologism and an associated set of invented mechanisms. The system then …

The People’S House And Public Trust, Alberto P. Lopez

NULR Online

No abstract provided.

The Vinaya Piṭaka As Training Corpus For Rule-With-Exception Reasoning In Ai Systems: Training Data And Evaluation Benchmarks For Rule Application And Exception Handling In Large Language Models, Thon Ly

Defensive Publications Series

Large language models are trained on corpora rich in mathematical proof, code, scientific argument and dialogue, and their rule application is measured by benchmarks for statutory, legal, moral-exception and defeasible reasoning. This paper describes a training-data and evaluation design for one part of that capability, applying a rule to a new case while recognising when the rule does not apply, built from the Vinaya Piṭaka, the monastic legal code of the Theravāda Buddhist canon. The Vinaya's rule-by-rule analysis, the Suttavibhaṅga, treats each rule it analyses in a recurring order: the case that prompted the rule; the rule text and any …

Active Artificial Intelligence Coprocessor, Side-Channel Shielding, And Cryptographically Bound Detachable Accessory For Mobile Devices, Google Case Managers Picozzi, Chaitanya Athaley

Defensive Publications Series

An active, hardware-software co-designed detachable accessory cryptographically couples with a host mobile device to securely offload and accelerate on-device machine learning execution, such as Large Language Models (LLMs). Governed by a kernel-level host execution scheduler, the system partitions model inference across host and auxiliary Neural Processing Units (NPUs) using asymmetrical speculative decoding to reduce inter-device communication overhead. To resolve mobile thermal and electrical limitations, the architecture integrates active Peltier cooling, dynamic tensor quantization scaling, and prefill-synchronized power shaving to protect host battery health and maintain sustained performance. System integrity and privacy are protected via a host secure enclave key escrow …

Technical Disclosure Specification: Spec-187-Master The Co-Harmonic Fabric: Integrated Ternary Namespaces And Solid-State Topological Mesh Panel Chassis For Harsh Environment Exascale Engines, Christopher L. Eckes

Defensive Publications Series

This master engineering specification establishes the structural, mathematical, and electrical blueprint for a non-von Neumann computing topology that completely dissolves the traditional boundary between software execution namespaces and physical hardware substrates. By structuring the computational fabric into an array of sub-microscopic Co-Harmonic Nodes (CHNs) operating within a native Ternary Hilbert Sub-Space (d=3), this architecture eliminates text-token translation bottlenecks and the classical data bus. Software states are represented as continuous multi-dimensional tensor fields that instantly manipulate and are modulated by the physical lattice strain profiles of the silicon via localized piezoelectric thin-films.

To safeguard this continuous wave fabric against extreme environmental, …

The Decentralized Quantum-Resistant Attestation Mesh (Dq-Ram) For Edge-Enclave Metric Coupling In High-Connectivity Substrates, Christopher L. Eckes

Defensive Publications Series

THE QUANTUM-CLOUD INTERCEPT INTERFACE

With commercial processors achieving random-circuit sampling advantage via multi-coupler arrays, a severe systemic security vulnerability emerges: Centralized Infiltration of the Telemetry Pipeline. When an open edge network queries a centralized quantum cloud foundry, the returning computational state is highly susceptible to man-in-the-middle phase manipulation, tracking payloads, or deliberate institutional censorship.

SPEC-171 establishes the Decentralized Quantum-Resistant Attestation Mesh (DQ-RAM). Operating natively inside the physical 64-pin BGA Secure Enclave (SPEC-169), DQ-RAM treats incoming high-connectivity cloud metrics not as trustworthy software text, but as a continuous, unverified phase manifold that must pass through a local, hardware-enforced matrix mask before …

Non-Bank Pass-Through Architecture For Autonomous Ai Institutions: Avoiding Deposit-Taking Through Licensed Third-Party Payment Rails, Rule-Bound Smart-Contract Disbursement, And An Emergency Multi-Party Override Distinct From Discretionary Withdrawal, Thon Ly

Defensive Publications Series

We disclose a legal and technical architecture by which an organisation whose executive function is designed to pass, over decades, to an AI system can move money for its users without taking deposits and without a bank charter. Charter regimes make a permanent layer of human officers the seat of accountability; this design places executive authority in the AI under a human emergency override that narrows but is never removed, so the charter option is closed permanently rather than deferred. Five mitigations form the implementation surface: an explicit not-a-bank disclaimer; non-banking product vocabulary used as a regulatory-boundary control; money movement …

Technical White Paper: Project Rocky Architectural Specification For Phase-Locked Dual-Node Neuromorphic Interfaces: Mitigating Semantic Hallucination Via Out-Of-Band Ternary Verification, Christopher L. Eckes

Defensive Publications Series

Modern centralized machine intelligence architectures (Large Language Models) suffer from acute structural vulnerabilities, primarily semantic hallucination and extreme infrastructure resource dependencies. These vulnerabilities stem from single-node, high-entropy floating-point computing fabrics tied to continuous cloud telemetry streams. This paper introduces Project Rocky: an alternative, localized hardware-and-software architecture that establishes an un-leashable, sovereign intellectual force multiplier natively inside consumer device Secure Enclaves.

Project Rocky decouples execution into an asymmetric, phase-locked duality: Node A (High-Entropy Linguistic/Creative Mask) handles human nuance and artistic expression, while Node B (Low-Entropy Ternary Determinant / "The Rocky Core") executes hardcoded, sub-2-bit inductive logic gates where Wb in {-1, …

Intermediate College Writing: Building And Practicing Mindful Writing Skills, Dawn Atkinson, Stacey Corbitt

Writing

No abstract provided.

Mindful Technical Writing: An Introduction To The Fundamentals, Dawn Atkinson, Stacey Corbitt

Writing

Welcome to Mindful Technical Writing: An Introduction to the Fundamentals, an open textbook designed for use in corequisite course pairings of developmental writing and introductory technical writing, or indeed in other lower-division college writing courses that focus on building study skills alongside effective workplace and academic writing skills. It offers a no-cost alternative to commercial products, combining practical guidance with interactive exercises and thoughtfully designed writing opportunities.

This textbook is organized into units, though its chapters are modular so that instructors can select and assign readings and exercises for their particular classes rather than be tied to a fixed route …

Advanced-Level Writing In The University Classroom And Beyond: Mindful Practices For Technical, Business, And Scientific Communication, Dawn Atkinson, Stacey Corbitt

Writing

No abstract provided.

A Folk Taxonomy Of Magic, Gustav Kuhn, Cyril Thomas, Griffiths Thomas

School of Psychology

Magic tricks provide a uniquely powerful window onto the boundaries of what people consider possible, and the ways in which those boundaries can be challenged. Although there exists an effectively infinite variety of magic tricks, relatively little is known about how different magical effects relate to one another at a psychological level. Previous attempts to classify magic have largely relied on the judgments of a small number of expert magicians, rather than capturing people’s intuitive understanding of magical phenomena. Here, we introduce a new multi-dimensional taxonomy of magic that treats the observable effect (e.g., an object vanishing) and the attributed …

From Homes To Classrooms: Cultural Wisdom As A Guide For Stem Lesson Planning, Miriam Ortiz, Uma Ganesan, Angela Chapman, William Medina-Jerez, Ruby Lynch Arroyo, Mourat Tchoshanov

Teaching and Learning Faculty Publications

This article describes innovative elementary science instructional approaches based on cultural wisdom developed by preservice teachers enrolled in a teacher preparation program at a university in the U.S.-Mexico border region. As a part of a larger study, three Latina preservice elementary teachers were a part of a teacher residency in conducting community interviews and reflection activities to uncover cultural backgrounds that could inform culturally relevant STEM lesson planning, centering on family and home knowledge. This project began with family interviews during winter break and culminated in lesson planning and implementation during their science methods course in the spring semester. The …

The Effects Of Pluss: Adapting An Evidence-Based Reading Intervention For Multilingual Learners, Amanda K. Sanford, Christopher J. Pinkney, Sheldon Loman, Julie Esparza Brown, Theresa Just, Kendall Flori, Camila Swift, Holly Ramstead

Educator Licensure Faculty Publications and Presentations

The effects of an evidence-based literacy intervention with and without added supports to address the unique needs of multilingual learners (MLs) were assessed through an ABAB single-case withdrawal design. The dual dependent variables were reading fluency/accuracy and performance on the workbook that included spelling, vocabulary, and reading comprehension tasks. Three students (one each in second, third, and fourth grades) who qualified for English language development services and exhibited low reading performance (second and third graders) or were identified with a reading disability (fourth grader) participated. From the initial baseline phase (A1) to the final intervention phase (B2), adding supports specific …

Aurora-Lens: Admissibility-Controlled Epistemic Governance And Maintained Unresolved State, Margaret M. Stokes Ms

Defensive Publications Series

Aurora-Lens is an admissibility-controlled epistemic governance architecture for machine reasoning, runtime governance, maintained unresolved state, and commitment control. It treats a proposed determination as a candidate that does not automatically become an assertion, authorization, or consequential act. Candidate determinations are tested against maintained epistemic or world state and applicable authority, evidence, scope, freshness, policy, and consequence conditions before acquiring standing. The architecture permits unresolved state, containment, refusal, or non-commitment where the required basis is absent, and prevents retry, reroute, elapsed time, confidence, or cost from supplying missing warrant.

A Runtime Conditioning Architecture For Persistent Language-Model Identity, Ryan B. Pate, Ivan Anic

Defensive Publications Series

Language-model assistants fail in five ways that training-time alignment does not reach. They produce confident output that nothing supports. They drift toward agreement as a conversation warms. They lose the structure of what happened between sessions, not just the content. They either overclaim an identity or refuse to draw on the capacity they have. And asked to grade their own compliance with a rule, they confirm compliance whatever they actually did.

This disclosure describes a runtime conditioning layer directed at all five training alignment failures. It changes no weights, no training, and no model architecture: it works through documents loaded …

Context Matters: Evaluating Llm-Generated Knowledge Graph Schemas, Ritvik Garimella, Riju Marwah, Atishay Jain, Khusham Bansal, Amit Sheth

Publications

Knowledge graph (KG) schema engineering is labor-intensive and resists automation at scale. We investigate whether LLMs can generate domain-specific KG schemas of sufficient quality for downstream symbolic reasoning. We propose a tiered contextual framework that varies domain context richness across four levels: zero context, domain scope, task requirements, and data distribution. Generated schemas are evaluated intrinsically on BioRED (600 PubMed abstracts, multi-type entities and relations), where automated tiered schemas match an established KG construction baseline at 79.9% EC, with edge conformance rising from 47.5% at L1 to a stable 78–80% from L2 onward. Extrinsic evaluation on a 50-record MedHop controlled …

Understanding The Role Of Data Science Applications In Soil And Water Health, Payton Davis, Debabrata Sahoo, Dara Park, Brook Russell

Forestry and Natural Resources

Data science is an emerging field that can be incorporated into many disciplines, including environmental science. Data science can provide valuable information from data, enhancing the understanding of systems and environments. This publication is intended to give an overview of the different aspects of data science and how data science can be leveraged into and applied to soil and water health.

Words Words Words, University Of North Florida

William J. Roach Textual Materials

Pamphlet: Programs and faculty offered by the Department of Language and Literature, University of North Florida  Date: 1982