Digital Commons Network^™

Context-Guided Ai Data Activation Control System With Policy-Constrained Planning And Validation-Gated Export, Anonymous

Defensive Publications Series

A data activation control plane receives destination-side account or tenant context and a policy grant for a source environment. The policy grant is compiled into a policy-scoped planning interface that constrains tools and schema metadata available to a planning model and prevents access to raw source values. Based on the bounded destination-side context and the policy-scoped source surface, the planning model proposes a candidate activation. The control plane compiles the proposal into a structured activation plan identifying output fields, source paths, transforms, and destination parameters. A source-local validator validates the plan within the source environment, optionally including dry-run execution and …

Dual-Randomization Experimentation Framework With Routing-Based Isolation For Agent-Facing Workflow Systems, Anonymous

Defensive Publications Series

A dual-randomization experimentation framework for agent-facing workflow systems is described. Incoming work items are deterministically assigned to test or control groups at creation time, and agents are independently assigned to test or control cohorts. Isolation is enforced by integrating with a skills-based omni-channel routing engine so that test work items are routed only to test agents and control work items only to control agents. A gatekeeper controls code paths and user interface component visibility based on cohort membership, supporting phased rollouts and rollback via configuration. Group assignment is preserved across the work item lifecycle including transfers, escalations, and re-routing. Exposure …

Neuro-Symbolic Business Account Compromise Detection With Agentic Ai And Inductive Knowledge Discovery, Anonymous

Defensive Publications Series

A neuro-symbolic system detects compromise of business accounts using an agentic investigation stage and a knowledge-based decision stage. An LLM agent invokes multiple investigative tools via a model context protocol and produces an initial assessment with a rationale. The rationale and tool results are normalized into a fixed-dimensional signal vector. A hybrid FOIL and inverse entailment inductive logic programming procedure discovers interpretable confirmation and rejection rules from examples and background predicates. Rule firings and signal features are converted into multi-order features and scored using a Naïve Bayes classifier with smoothed conditional probability tables. A contradiction solver identifies disagreement patterns among …

Attractor Surgery For Post-Training Repair Of Collusive Pricing Policies Via Targeted Q-Entry Editing, Anonymous

Defensive Publications Series

Disclosed techniques perform post-training repair of reinforcement-learning pricing agents by targeted editing of action-value information to eliminate high-price attractor cycles. A frozen policy graph is constructed from a greedy policy derived from Q-values, and the graph is decomposed to identify attractor cycles. Each cycle is scored using an elevation metric relative to benchmark prices and compared to a threshold to classify high-price attractors. For states on a high-price cycle, the greedy collusive action is replaced with a one-shot best-response action by demoting Q(s,a_collusive) and promoting Q(s,a_BR) by an editing margin that flips the argmax, while leaving all other Q-entries unchanged. …

Distributed Reconfigurable Logic Cells For Zero-Respin Post-Tapeout Silicon Defect Recovery, Anonymous

Defensive Publications Series

Distributed reconfigurable logic cells are integrated across a system-on-chip and/or multi-chiplet package to enable post-tapeout remediation of defects in hardened circuitry without redesign. Small micro-FPGA cells are placed proximate to selected hardened IP blocks and coupled via local interfaces and steering circuitry. After fabrication, a configuration controller programs one or more proximate cells at boot time and/or runtime with remedial logic that replaces, augments, or bypasses defective behavior, and activates routing/steering to apply the fix. Unused cells may be power-gated or clock-gated to reduce static and dynamic power. The cells may also be repurposed for debug, test, monitoring, security patches, …

Smart Composer With Graduated Ai Engagement Modes For Business Customer Conversations, Anonymous

Defensive Publications Series

A business messaging smart composer provides a composer-native mode switcher for selecting a thread-specific level of AI participation. A selected mode persists per conversation thread and controls AI behavior. In a manual mode, the user composes messages without AI draft insertion. In a suggested mode, an AI-generated suggested reply card presents a preview that can be tapped to load content into the composer for editing prior to user-authorized sending, with a coaching card shown when no useful suggestion is available. In an AI reply mode, AI-generated replies are automatically sent, with handoff to a human user when handling criteria are …

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. …

Temporal Mask Refinement For Real-Time Portrait Matting Via Motion-Guided Spatial Smoothing With Confidence-Core Motion Propagation, Anonymous

Defensive Publications Series

Techniques are described for temporally refining per-frame portrait segmentation masks in video. A raw mask is processed to form an eroded foreground confidence core and a three-zone partition including core, boundary, and background regions. Motion is obtained from the core region, for example using confidence-aware block matching that applies a motion-magnitude bias and produces a confidence derived from matching cost. Motion vectors are propagated from the core into boundary pixels using confidence- and distance-weighted aggregation. A prior refined mask is warped using the resulting motion field and fused with the raw mask using confidence-gated temporal blending with zone-specific rules, including …

Adaptive Real-Time Video Communication With Latency-Aware Codec Selection And Asymmetric Codec Design, Anonymous

Defensive Publications Series

Techniques for adaptive real-time video communication are described. A device capability classifier, optionally based on a machine-learning model, determines codec eligibility beyond static device attributes. During a session, an endpoint measures encoding latency to adjust encoder complexity presets and to switch from a higher-complexity codec to a lower-complexity codec when real-time criteria are not satisfied. A receiving endpoint measures decoding latency and can signal the sender to change codec or configuration responsive to receiver-side performance. The techniques also support asymmetric operation in which an endpoint transmits using a first codec while receiving using a second codec. Additionally, temporal layering is …

Routing Stability In Co-Evolving Machine Learning And Language Model Decision Systems, Anonymous

Defensive Publications Series

Techniques are described for routing stability in co-evolving decision systems that combine a machine-learning (ML) model and a large language model (LLM). A routing controller selects, per case, whether to use the ML tier, the LLM tier, or optionally human review. A pre-invocation economic gate permits an LLM call when expected economic value of improved decision quality exceeds LLM cost. After an LLM output is generated, a post-invocation epistemic gate calibrates the likelihood the output is wrong using a learned model conditioned on case features and evaluation signals, and selectively accepts or falls back. High-confidence accepted LLM outputs are used …

Aggregate Cpu Core Frequency Scoring For Instant Mobile Device Performance Classification, Anonymous

Defensive Publications Series

Techniques are described for instant performance classification of a computing device using an aggregate CPU frequency score. A client device obtains, for each CPU core, a maximum clock frequency value from an operating system-exposed hardware descriptor and computes a continuous score by aggregating the per-core maximum frequencies, such as by summation. The score can be computed with low overhead and reported in telemetry to a backend service that builds a device capabilities table keyed by device model identifier and serves scores via a cache. Feature gates use threshold comparisons against the continuous score to enable, disable, or adapt compute-intensive features. …

Stochastic Codebook Nearest-Neighbor Decoding For Robust Digital Watermark Recovery, Anonymous

Defensive Publications Series

Systems and methods are disclosed for recovering invisible digital watermark messages from modified media using database-backed nearest-neighbor decoding. An embedding subsystem generates an n-bit binary message sampled uniformly at random, embeds the message into a media item using a watermark encoder, and stores an association between the message and a content identifier in a message database. A decoding subsystem extracts a noisy n-bit message from a candidate media item, performs a Hamming-distance nearest-neighbor search over stored messages to obtain a closest stored message and distance, and applies threshold-based decision logic to determine a match. A two-threshold policy may trigger optional …

Autonomous Configuration Parameter Range Discovery And Optimization Using Co-Located Runtime Feedback, Anonymous

Defensive Publications Series

A configuration intelligence layer (CIL) is executed as a companion process co-located on the same computing node as a target configurable application. The CIL locally ingests a parameter schema that includes declared parameter ranges and current values, and locally monitors runtime key performance indicators and error/event streams with low latency. Using closed-loop optimization, the CIL iteratively adjusts parameter values and detects boundary-limited optimization when improvement trends are constrained at a declared minimum or maximum. Under safety controls such as canary application, change budgets, and rollback on error thresholds, the CIL explores beyond declared bounds to gather operational evidence. The CIL …

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.

Gci Seismic Resilience Suite V1.0 A Full, Open‑Hardware, Builder‑Ready Seismic Protection Architecture, Michael Victor Caldwell Mr.

Defensive Publications Series

The GCI Seismic Resilience Suite v1.0 is a unified, multi‑layer seismic protection architecture that integrates early warning, passive isolation, semi‑active damping, structural health monitoring, and off‑grid power resilience into a single, buildable open‑hardware system. This suite combines proven physics with modular, fabrication‑ready components drawn from the Caldwell ecosystem, enabling any qualified engineering team to construct, test, and deploy a next‑generation seismic protection platform.

At its core, the system merges three primary layers:

1. Early Warning: The GCI Arachne‑Vortex Detection Web uses distributed acoustic sensing (DAS) on existing fiber‑optic lines to detect P‑waves seconds to tens of seconds before destructive shaking. Local …

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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 …

Method For Accelerating Field-Programmable Gate Array Emulation Using Pre-Optimized Memory Implementation, N/A

Defensive Publications Series

The technology described in this paper relates to a method for optimizing the compilation flow of field-programmable gate arrays by streamlining memory resource allocation. The approach uses pre-partitioned memory wrappers during the register transfer level design phase to bypass automated memory mapping. By decomposing large design memories into sub-memory blocks that correspond directly to native physical memory dimensions, the method reduces computational overhead and shortens verification cycles. Two distinct allocation strategies—depth-first and width-first—are evaluated to optimize hardware resource utilization. Keywords: field-programmable gate array, emulation, compilation, memory mapping, register transfer level, wrappers, and resource allocation.

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 …

Hybrid Thermal Bridge System For Cooling Irregular Electronic Components In Sealed Server Chassis, N/A

Defensive Publications Series

A thermal management system provides targeted cooling for densely packed, highly irregular electronic components within a sealed environment. The system utilizes a closed-loop thermal bridge incorporating an internal thermal baffle, a dedicated local fan, and a local finned heat exchanger. The internal thermal baffle forms an isolated fluid duct over components having uneven topographies, while the local fan continuously circulates air through this duct. Heat transferred to the air from the active components is subsequently dissipated through the finned heat exchanger, which interfaces directly with a facility liquid cooling loop. This configuration effectively cools complex power delivery components while maintaining …

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 …