Digital Commons Network^™

Composed Ot Beam Search, Anonymous

Defensive Publications Series

Multi-codebook generative retrieval produces semantic identifiers by autoregressively generating K codebook tokens. The disclosure describes globally coordinated decoding by formulating the K-step process as a sequentially composed optimal transport problem with K transport plans linked by marginal consistency constraints. A retrieval transport cost is defined per step from decoder conditional probabilities and may include a learned future value term and a diversity penalty. An entropically regularized objective is solved using composed Sinkhorn iterations that perform forward and backward scaling passes across steps to satisfy source, intermediate, and target marginals. A global beam computation budget is adaptively allocated across steps based …

Unified Property Declaration System For Entity-Component State And World-Scope Governance Records, Anonymous

Defensive Publications Series

A unified property declaration system is described for collaborative environments that maintain both entity-component state and world-scope governance records. A single declaration surface defines properties for component types attachable to entities and for world-scope record kinds using a common type system and attributes. Mutations to either category are encoded as operations in a discriminated-union format whose address selects between entity-component-property addressing and world-scope record addressing. All operations traverse a unified pipeline providing consistent ordering, conflict handling, undo/redo, persistence via logging and snapshots, replication to clients, and audit logging. Compile-time scope enforcement prevents cross-registration of component types and world-scope record kinds. …

Provenance-Bound Per-File Pseudonymisation Tokens And Field-Role-Aware Routing For Privacy- Preserving Use Of Cloud Large Language Models, Tiago Rosado

Defensive Publications Series

This document discloses two co-operating mechanisms for preserving privacy when documents are processed by a cloud-hosted large language model (LLM) through a security gateway. The first mechanism is a **provenance-bound, per-file pseudonymisation token**: each detected sensitive value in a source document is replaced, before egress to the cloud LLM, with an opaque token derived by truncating a keyed hash (HMAC-SHA-256 under a deployment secret) of the concatenation of (i) the cryptographic hash of the *entire source document* and (ii) the value itself. Because the per-file salt is the source-document hash, the same value produces *different* tokens in different documents — …

Provenance-Bound Capability-Envelope Pinning Of An Mcp Tool Surface With Block-And-Re-Approve Enforcement On Semantically-Meaningful Structural Change And Import-Time Semantic-Intent Screening, Tiago Rosado

Defensive Publications Series

This document discloses a mechanism, at a security gateway that mediates an AI agent's use of tools served over the Model Context Protocol (MCP), for governing the *tool surface* an imported MCP server advertises — as opposed to only inspecting the traffic that passes through it. At the time an MCP server is imported and approved, the gateway, through its own gated broker path, fetches the server's complete advertised surface (its tool list and prompt list, including each tool's name, human-readable description, parameter schema, and declared return shape), computes a content hash over that complete surface, and records it in …

Single-Use Capability-Handle Binding Of A Re-Identification Correspondence Map, With Role-Scoped Step-Up-Gated Reveal And Handle-As-Authenticated-Data, For Reversible Pseudonymisation At An Llm Security Gateway, Tiago Rosado

Defensive Publications Series

This document discloses how to govern access to the **re-identification correspondence map** produced when a security gateway reversibly pseudonymises sensitive values before sending a document to a cloud large language model (LLM) and restores them on the response path. The correspondence map — the token-to-value mapping — **is** the data-protection re-identification key (the GDPR Article 4(5) "additional information" that turns pseudonymous tokens back into personal data); it is the most sensitive artefact in the round-trip, and the established round-trip (tokenise on egress, hold an encrypted short-lived mapping, restore on response) does not, by itself, govern *who may reverse it and …

Human Artfully Crafted Intellegence .Haci, David Lee Wise

Defensive Publications Series

human artfully crafted intellegence .haci extended mark up language.

Human Artfully Crafted Intellegence Namespace, David Lee Wise

Defensive Publications Series

Human artfully crafted intellegence namespace is a family of human ai collab interpreter languages.

Cost, Safety, And Durability Guardrails For A Ticket‑Driven Autonomous Software‑Delivery Control Plane, Troy J. Sampson

Defensive Publications Series

Purpose of this document. This is a defensive publication: it is published to place the mechanisms described below into the public domain and to establish prior art as of its publication date. Its goal is to ensure these techniques remain freely usable by anyone and cannot be the subject of a later, blocking patent claim. It is not a patent application and asserts no exclusive rights.

Author / inventor: Troy Sampson Drafted: 2026‑06‑25 Operative publication date: the date this document is posted to a publicly indexed, examiner‑searchable venue (e.g., Technical Disclosure Commons, tdcommons.org). Fill in upon posting. Lineage: these …

Volumetric Visual Displays That Form A Three Dimensional Image Within A Transparent Solid Volume, And Methods Of Fabricating And Driving Them., Marshall E. Sprague

Defensive Publications Series

Disclosed is a volumetric display comprising many small addressable elements fixed at known three dimensional positions within a transparent solid body. Each addressable element responds to a broadcast message that carries a multi field address and a color or state field, and each element acts only on messages matching its own address. The color or state field defines color, intensity, and duration, so an element may be commanded to a state and hold that state. Disclosed forms include elements that emit visible light to form an image, elements that darken on command from a substantially transparent rest state to provide …

Service-Aware Dynamic Voltage And Frequency Scaling Via Thread Attribution And Synchronous Lock Interception, Vadlamudi Venkata Girish

Defensive Publications Series

In mixed-criticality computing systems, latency-critical services can be delayed when lower-priority tasks hold shared resource locks, causing a priority inversion.  Software that performs aggregate-based power scaling responds more slowly to these events than hardware.  This publication describes a service-aware power management architecture that utilizes synchronous lock interception and hardware-assisted thread profiling to resolve resource contention.  An event-driven interceptor monitors synchronization primitives to detect when a critical task is blocked by a lower-priority thread.  Before altering a power state of the lower-priority thread, however, the system queries hardware performance counters to verify that the blocking task is compute-bound rather than memory-stalled. …

Tiered-Boot Capability Kernel For An Ai-Agent Platform, Gustavo Matthew Assuncao

Defensive Publications Series

Large AI-agent platforms aggregate dozens to hundreds of interdependent modules spanning operating-system services, an AI-inference runtime, and business domains. A conventional monolith or undifferentiated plugin host gives no guarantee that such a platform boots deterministically, fails fast on an unmet dependency, or remains operable and manageable when AI or business logic is absent or broken. Critically, when the heavy, fast-iterating AI runtime crashes during startup, it frequently takes the entire process down with it — including the very health endpoint operators need to diagnose the failure. This publication describes a boot architecture that resolves the problem through three combined mechanisms. …

Tiered-Boot Capability Kernel For An Ai-Agent Platform, Gustavo Matthew Assuncao

Defensive Publications Series

Large AI-agent platforms aggregate dozens to hundreds of interdependent modules spanning operating-system services, an AI-inference runtime, and business domains. A conventional monolith or undifferentiated plugin host gives no guarantee that such a platform boots deterministically, fails fast on an unmet dependency, or remains operable and manageable when AI or business logic is absent or broken. Critically, when the heavy, fast-iterating AI runtime crashes during startup, it frequently takes the entire process down with it — including the very health endpoint operators need to diagnose the failure. This publication describes a boot architecture that resolves the problem through three combined mechanisms. …

Per-Route Fail-Closed Multi-Provider Llm Routing, Gustavo Matthew Assuncao

Defensive Publications Series

Modern AI platforms funnel all inference through a single multi-provider gateway so that provider credentials, model allow-lists, cost telemetry, and policy resolve in one place. The default reliability posture of such a gateway is to fail open: if the requested model/provider is unreachable, the gateway silently substitutes a cheaper or different model so the call still returns. For general chat this is correct — availability beats fidelity. For high-stakes governance decisions (an LLM-as-judge that certifies mastery, scores an assessment, or gates a release) silently re-basing the decision onto an unvalidated, cheaper, or differently-aligned model is a correctness/safety defect, not graceful …

Task-As-Hub Coordination For A Mixed Human/Ai-Agent Workforce, Gustavo Matthew Assuncao

Defensive Publications Series

A modern software organization increasingly runs a mixed workforce: human employees alongside a fleet of autonomous AI agents ("personas") that are asked to do work, do it, and report findings — concurrently, around the clock. Two structural failures recur. First, teams adopt the version-control branch as the implicit unit of work ownership. A branch, however, models file isolation, not work ownership: it does not represent assignment, lifecycle, blockage, priority, or effort, and when many agents operate on one shared repository, branch identity provides no mechanism to arbitrate who holds a unit of work, producing collisions, lost commits, and stomped working …

Capability-Scoped Task Envelopes With Reserved-File Token Broker For Concurrent Ai Coding Agents, Gustavo Matthew Assuncao

Defensive Publications Series

When several heterogeneous AI code-generation agents write to one shared repository concurrently, branch isolation plus post-hoc merge does not bound per-agent scope and does not prevent reserved-file races on a small set of high-blast-radius files. This publication describes a method that addresses both failures with one coherent mechanism.

A planner classifies each natural-language change request into a kind (create, modify, debug, migrate, deploy, read-only) and a risk label, then emits one or more task envelopes. Each envelope carries a declarative capability budget — allow_paths, deny_paths, max_files_changed, max_lines_changed, and may_add_dependencies — plus an agent-role assignment, required reserved-file tokens, required CI checks, …

Sleep-Gated Dream Memory Consolidation For Ai Personas, Gustavo Matthew Assuncao

Defensive Publications Series

Large language models (LLMs) are stateless across turns. A long-running AI persona — a digital worker that acts all day across email, chat, documents, CRM, voice, tasks, code, bugs, calendar, and autonomous agent runs — therefore begins every new turn with no durable memory of what it did. Two naive remedies fail at scale: (a) always-on summarization competes with interactive serving for the same scarce GPU/token budget, inflating the cost and latency of the work users wait on; and (b) per-conversation memory schemes capture only a single chat stream, never the whole cross-application workday.

This publication discloses a system and …

Idle-Triggered Curiosity Engine For Ai Agents, Gustavo Matthew Assuncao

Defensive Publications Series

Autonomous, reactive AI agents — chat assistants, cognitive personas, and tool-using agents driven by a perceive–reason–act loop — sit idle whenever no message, task, or event is pending. That idle time wastes provisioned compute (GPU/CPU and a held model context) and, more importantly, forfeits opportunities for the agent to do useful proactive work: revisiting stale goals, summarizing accumulated context, learning a new skill, or surfacing a forgotten follow-up. Naively filling idle time with background activity is dangerous: undisciplined background tasks compete with reactive work, repeat themselves, and fire when their preconditions are not met.

This publication discloses an Idle-Triggered Curiosity …

Per-Persona Token Budget Tracker With Strategy Bias, Gustavo Matthew Assuncao

Defensive Publications Series

Per-agent and per-tenant large-language-model (LLM) spend is hard to predict, attribute, and govern. The prevailing industry practice is post-hoc observation: token meters, billing exports, and span-level cost-attribution dashboards report what was spent after it was spent. The cost figure, however, never re-enters the agent's own decision loop. As a consequence the agent continues to select the same expensive model and the same long context until a hard spend cap trips, at which point the agent stops abruptly — a cost cliff rather than graceful degradation.

This publication describes a per-persona token budget tracker that converts cost into a closed-loop control …

Per-Persona Token Budget Tracker With Strategy Bias, Gustavo Matthew Assuncao

Defensive Publications Series

Per-agent and per-tenant large-language-model (LLM) spend is hard to predict, attribute, and govern. The prevailing industry practice is post-hoc observation: token meters, billing exports, and span-level cost-attribution dashboards report what was spent after it was spent. The cost figure, however, never re-enters the agent's own decision loop. As a consequence the agent continues to select the same expensive model and the same long context until a hard spend cap trips, at which point the agent stops abruptly — a cost cliff rather than graceful degradation.

This publication describes a per-persona token budget tracker that converts cost into a closed-loop control …

Resource-Provider Rbac For Multi-Domain Ai Platforms, Gustavo Matthew Assuncao

Defensive Publications Series

Flat role-based access control — admin / user / viewer — does not scale to a platform hosting many independently-developed domains (CRM, communications, finance, documents, AI personas) that appear and disappear at runtime and share resources across domain boundaries. Hardcoding a capability map forces a code deploy for every new permission; scattering per-domain access-control lists duplicates safety-critical logic and drifts. This publication describes a resource-provider RBAC model for AI-agent platforms in which each domain module registers its own resource catalogue at boot — resource types, each with a set of actions and a schema — into a central registry. Every …

Two-Tier Attention Queue With Amortized Triage, Gustavo Matthew Assuncao

Defensive Publications Series

An autonomous agent backed by a large language model (LLM) frequently receives inputs in bursts: two hundred emails delivered at once, a flood of webhook events, a queue of chat messages that arrived during a network partition. The dominant cost in processing such a burst is triage — the act of classifying each input into a type and a priority so the agent knows what to do with it. When triage itself invokes the LLM, a burst of N inputs produces N LLM calls before any useful work begins, a thundering-herd that spikes token spend and latency in lock-step with …

Hybrid Rag Ranking With Graceful Llm Fallback, Gustavo Matthew Assuncao

Defensive Publications Series

Retrieval-augmented generation (RAG) pipelines increasingly insert a language-model (LLM) re-ranking stage between candidate retrieval and answer synthesis, because LLM re-rankers materially improve the ordering of retrieved passages. But LLM re-rankers are slow, costly, rate-limited, and intermittently unavailable. The naive integration — retrieve, then await the LLM re-ranker, then return — promotes the slow, failure-prone stage onto the critical path. End-to-end retrieval latency, availability, and cost all become hostage to the LLM provider: one provider timeout or one tripped spend cap converts a sub-100 ms retrieval into a multi-second failure or an outage.

This publication describes a hybrid ranking architecture that …

Unified Multi-Channel Messaging History, Gustavo Matthew Assuncao

Defensive Publications Series

An AI agent that converses with the same person across several messaging providers — WhatsApp, Telegram, Signal, Discord — conventionally keeps one message history per provider. When a contact moves between channels the agent loses continuity: the earlier exchange is in another store, behind another code path, keyed by another identity. The two common remedies both fail: a table-per-provider design forces a schema migration every time a new channel is onboarded, and a lowest-common-denominator schema discards the provider-specific fields (Discord guild id, WhatsApp template id, Telegram thread id) that the agent later needs.

This publication discloses a design that resolves …

Dynamic Confidence Bands Per Action Type, Gustavo Matthew Assuncao

Defensive Publications Series

AI agents acting on a user's behalf — sending email, posting chat replies, creating tasks, calling tools, delegating to sub-agents — must decide, for each action, whether to act autonomously, escalate for a quick check, or hold for full human review. The prevailing mechanism is a single static confidence threshold ("auto-send if confidence > 0.8"), hand-tuned by operators. A single threshold is brittle: it cannot distinguish a low-stakes chat reply from a high-stakes external email; it does not adapt as the agent demonstrates competence (or begins to fail); and it forces every action type through one gate.

This publication discloses a …

Physical Activity Mediation In Perceived Emotional Support And Type 2 Diabetes Among African American Older Adults, Don Scott Mendes

Walden Dissertations and Doctoral Studies

No abstract provided.

African Americans’ Perceptions And Experiences Of Aesthetic Environments As A Determinant Of Stress, Clarence Gardener

Walden Dissertations and Doctoral Studies

No abstract provided.

Seamus Heaney And The “Mode Of Grief”: Three Elegies Of Field Work, Lucy Whitney

Undergraduate Honors Theses

In 1981, Seamus Heaney discussed the role of poetry as “more a mode for grief than grievance” (407). This essay is concerned with how Heaney used poetry to grieve suffering, death, and loss, especially within the context of “The Troubles” in Ireland from roughly 1965 to 1998. To better understand Heaney’s poetry, this essay will explore three elegies, “Casualty,” “The Strand at Lough Beg,” and “In Memoriam Francis Ledwidge.” These three grieving poems examine different facets of both the elegy and Irish history and conflict. Within them, Heaney creates modes of both mourning and healing for the many emotions associated …

Navigating Preparation: A Qualitative Exploration Of Special Education Teachers' Experiences Supporting Students With Disabilities In Transition To Post-School Life, Carrie Ann Friend

Electronic Theses and Dissertations

Transition-focused instruction is a critical component of special education services intended to prepare students with disabilities for postsecondary education, employment, and independent living. Although federal legislation such as the Individuals with Disabilities Education Act (IDEA) requires transition planning beginning in secondary school, prior research indicates that many special education teachers feel inadequately prepared to implement transition-focused instruction effectively. Existing literature has largely examined transition outcomes for students and programmatic compliance, while less attention has been given to teachers’ lived experiences implementing transition services within school contexts. The purpose of this qualitative narrative inquiry study was to explore how high school …

Interview With Orca Award Winner Ross Thompson, Unl Psychology; Childhood Emotional Development, Mark Griep, Ross Thompson

UNL ORCA Interview Series

Ross Thompson was awarded the ORCA in 2000. He was born in 1954 in Madison, Wisconsin. He traveled nearly 2000 miles west to earn a bachelor’s in psychology magna cum laude from Occidental College in Los Angeles. Then, he traveled east over 2200 miles to earn a master’s and doctorate in psychology at the University of Michigan in Ann Arbor. In 1981, he joined the University of Nebraska-Lincoln as an assistant professor of psychology and rose quickly through the ranks while studying childhood emotional development. In 2003, three years after earning the ORCA, Ross left UNL to join the psychology …

Notas Críticas (Reseñas), Yandrey Lay, Marzia Dessi

Intersecciones Hispánicas: Revista de Cultura, Literatura y Lingüística

No abstract provided.