Digital Commons Network^™

Automated Insights Generator, Anonymous

Defensive Publications Series

An automated insights generator coordinates multiple specialized AI agents to conduct autonomous, iterative exploratory analysis from a single prompt. A central orchestrator executes outside a large language model (LLM) and manages persistent state, tool invocation, and repeated looping by rotating LLM sessions to avoid context exhaustion. A topic discovery agent monitors leadership communications to populate and prioritize a backlog of unaddressed analysis topics. An exploratory analysis agent executes a codified multi-phase methodology using organizational data tools such as SQL engines, experimentation platforms, metric systems, and visualization services. Outputs are cross-checked by a data validation agent against approved dashboards and canonical …

Pareto Beam Search, Anonymous

Defensive Publications Series

Techniques are described for multi-objective beam search in generative retrieval systems that autoregressively generate semantic identifiers across multiple codebook steps. Each beam carries a vector of objective scores, such as relevance, diversity, freshness, and business value. At each decoding step, candidate beam extensions are evaluated and pruned by Pareto dominance using non-dominated sorting to form fronts. Beam selection proceeds by taking fronts in order until a beam budget is reached, and crowding distance is used to select among candidates within a front to promote spread across objective space. In some implementations, each beam also carries a preference vector used to …

Active-Feedback User Simulation Agent For Bidirectional Content Retrieval In Recommendation Systems, Anonymous

Defensive Publications Series

Techniques are described for bidirectional candidate generation in a recommendation pipeline using an active-feedback user simulation agent. An initial candidate set is retrieved using one or more retrieval paths. A user digital twin consumes a live session state, including an emotional-state embedding, and evaluates the candidates by predicting a session trajectory. When the predicted trajectory indicates low engagement, disengagement risk, or a coverage gap between predicted preference and available candidates, the agent generates a structured, machine-readable retrieval query (e.g., topic, content-type, social, negative, emotional, or mixing requests). A query handler executes the query to obtain additional candidates, forming an expanded …

Multi-Root Trust Chain Management For Secure Boot Firmware Development And Signing Infrastructure, Anonymous

Defensive Publications Series

Techniques are described for managing multiple secure-boot trust chains for firmware development and release on devices that support multiple hardware roots of trust. A provisioning pipeline generates a device configuration image that activates a selected non-production root index and is cryptographically bound to a device identifier such as an SoC serial number. The configuration image is signed using a production root to bootstrap trust, and activation may be policy-gated and generated in an event-driven manner with storage for fast retrieval. A signing service, backed by hardware security modules, signs firmware artifacts via authenticated service-to-service RPC and supports build-time selection between …

Quorum-Certified Partial State Recovery In Replicated Distributed Systems, Anonymous

Defensive Publications Series

A replicated state machine maintains a quorum-attested committed-state shadow in addition to a consensus-replicated durable log. The shadow is organized into serviceable units (e.g., ranges, shards, or object groups) and includes, per unit, a log term/index through which the unit is safe and a deterministic digest of unit state, optionally with predecessor linkage, coverage metadata, and replica attestations. After leader failover, a replacement leader exchanges shadow records or attestations with followers and computes certified recovery frontiers per unit. In partial-recovery mode, a request gate permits reads from the shadow for certified units and may admit writes for certified units into …

Ai-Driven Contextual Terminology Definition Generation For User Interface Elements, Anonymous

Defensive Publications Series

Systems and methods generate contextual, in-product definitions for domain terminology displayed in user interfaces. A client renders an annotated term and, upon a user click, sends the term and UI context to a backend definition service. The service checks a cache keyed by the term and context; when available, a cached definition is returned. Otherwise, the service invokes a language model with references to authoritative knowledge sources and an output contract requiring a definition of 20 words or fewer and a learn hyperlink to a wiki page that defines the term. The definition and hyperlink are presented via a standardized …

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 …

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 …

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 …

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.

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. …

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 …

Dynamic Context‑Aware Tokenization For Intent‑Driven Agent‑To‑Agent Transactions, Chandra Shekhar Matam, Harshwardhan Tripathi, Nancy Lakra

Defensive Publications Series

The present disclosure relates to a dynamic tokenization system for facilitating intent-driven transactions between autonomous agents. The system includes a context-aware token that encodes metadata defining multiple conditional spending profiles associated with distinct transaction intents. An intent declaration module receives specified transaction intents from the initiating autonomous agent, while a policy engine evaluates the declared transaction intent along with contextual factors such as agent identity and historical transaction behavior. A dynamic parameterization mechanism updates the metadata of the context-aware token in real-time, establishing context-specific limits on spending, merchant restrictions, transaction velocity, and expiration rules. During authorization, an authorization network validates …

Eyewear-Integrated Hardware-Enclaved Sensor Gating Interface Utilizing Asynchronous Data Valving And Biomechanical Intent Verification, Daitona Carter

Defensive Publications Series

This disclosure details a physical, hardware-enclaved security architecture designed to prevent unauthorized, passive audio and visual data extraction from wearable computing platforms. The framework mechanically decouples micro-electromechanical systems (MEMS) microphone arrays and camera sensors from the primary application processor (AP) and host operating system. Raw environmental data streams are routed exclusively into a hardware-isolated, bare-metal secondary microcontroller core operating a dedicated, secure execution environment. This secondary core controls an asynchronous data valve: raw sensor inputs are buffered in a one-way FIFO queue completely inaccessible to the host processor unless explicitly released by a verified user intent signal. This physical intent …

Regulating Operational States Of An On‑Chip Power Controller, Janardan Prasad

Defensive Publications Series

System‑on‑chip architectures often employ primary power controllers to direct the operational states of various internal sub‑systems. Problems can arise during periods of sub‑system inactivity, as the primary power controller remains active to monitor the sleeping domains, resulting in continuous power consumption. The disclosed technology utilizes a secondary power controller manager to govern the clocking and power states of the primary power controller. By evaluating hardware handshakes, initiating duration counters, and deploying finite state machines, the power controller manager transitions the primary power controller into a clock‑gated or power‑gated state during extended periods of sub‑system inactivity. In this way, the disclosed …

Code Generation System With Integration Of Objective User Feedback, Ishac Bertran

Defensive Publications Series

This document describes a self-improving code generation system, also known as a programming assistant, software synthesis tool, or automated coding assistant, that dynamically enhances automated code generation accuracy by using an artificial intelligence (AI) or machine learning system, such as a large language model (LLM), by continuously learning from user interactions. During application development sessions, the system evaluates user feedback in parallel with code generation tasks to separate subjective personal tastes from objective functional corrections. The system distills and merges functional corrections into an aggregated guidelines document that acts as an evolving set of engineering rules so as to enable …

System And Method For Integrating Localized, Verified Volunteer Medical Responses Into Vehicular Emergency Workflows, Anonymous

Defensive Publications Series

In commercial aviation, the protocol of broadcasting an announcement asking, "Is there a doctor on board?" is a long-standing and effective method for managing in-flight medical emergencies. By leveraging the presence of off-duty medical professionals who happen to be co-located with the emergency, flights can secure immediate, life-saving interventions for conditions such as cardiac events, diabetic shock, or severe allergic reactions. On the road, a parallel opportunity exists. Thousands of off-duty medical professionals—including doctors, nurses, and emergency medical technicians (EMTs)—frequently commute or travel in close proximity to vehicular medical emergencies. Bound by professional ethics and protected by Good Samaritan …

Scalable Replay Service, Komaljot Kaur, Apurba Pandey, Vighnesh R V

Defensive Publications Series

A distributed pod coordination system includes a plurality of pods configured to process work from a message queue, each pod assigned a unique pod identifier, and a state store maintaining coordination state including an active pods set, heartbeat keys, and partition maps associating partitions with respective pods. Each pod registers with the state store by obtaining the unique pod identifier, creating a heartbeat key with a time-to-live expiration value, and adding the pod to the active pods set. Each pod periodically refreshes the heartbeat key and participates in master election by querying the active pods set, verifying heartbeat keys, and …

Reputation-Based Admission Control For Cryptographic Inventory Leases, N/A

Defensive Publications Series

In online shopping, autonomous agents can find items much faster than a person can confirm a purchase. However, simply letting these bots hold items can lead to "denial-of-inventory" attacks where bad actors lock up all the stock. This system uses a reputation score to manage these temporary holds. An agent's eligibility to reserve an item, such as through a cryptographic lease, depends on its history. The score is updated based on whether the agent actually completes its purchases or just lets reservations expire. By linking access to proven reliability, this approach helps stop malicious bots while still allowing helpful shopping …

Just-In-Time Generation And Enforcement Of Ephemeral Security Policies From Autonomous Agent Intent, Abhinash Kumar Giri

Defensive Publications Series

In the field of autonomous agents, static security policies may be overly permissive, creating security risks, or overly restrictive, hindering agent functionality. Systems and methods are described for the just-in-time generation of security policies. A system can obtain an autonomous agent's declared intent for a specific action, for example, from a reasoning trace or a structured declaration. This high-level intent may then be translated into a temporary and kernel-enforceable capability profile that is active for a limited duration, such as for a single action. After the action completes, the temporary permissions can be invalidated. This approach can create ephemeral, least-privilege …

Method And System For Independent Supervision Of Critical Actions, Anonymous

Defensive Publications Series

A system for an industrial plant, such as a drilling rig, in which an independent safety controller and safety relay, governed by a manually actuated, network-isolated operating device, isolate a critical valve from the connected control system. This prevents unauthorised or remote change of essential functions such as heave compensation and riser tensioning, including via cyber-attack.

Rewarding User Engagement Through Dynamic Storage Grants, Ashwin Goyal, Nick Staubach

Defensive Publications Series

Media library applications allow users to use cloud storage for photos, videos, or other media, and provide features for editing and social sharing of media, media-based creations, etc. In many cases, such applications provide a free storage tier and charge payments to access additional storage. User engagement can fall when storage quotas run out. This disclosure describes techniques to improve user attention and engagement for such applications. Per the techniques, users can earn cloud storage space by undertaking certain activities within the application, such as capturing or uploading images or videos. By providing cloud storage as a reward, the features …

Unified Cognitive Architecture For Distributed Manifold Reasoning Systems, Donevin Frownfelter

Defensive Publications Series

Donevin Frownfelter ([email protected])

This disclosure describes a unified cognitive architecture that integrates three complementary systems—VESPER, NEPHILIM, and the Unified Agent Reasoning Model (UARM)—into a single operational framework for distributed reasoning, semantic computation, and multi‑device intelligence. The architecture introduces a manifold‑based cognitive substrate, enabling agents to perform reasoning as transformations across a non‑Euclidean semantic space rather than through traditional symbolic or statistical pipelines.

The system employs a tensor‑manifold representation for knowledge, a Majorana‑parity logic layer for reversible inference, and a distributed execution mesh that allows heterogeneous devices to participate in a shared cognitive topology. VESPER provides the laminar reasoning core, NEPHILIM …

Minimal-Disclosure Presence Notification Of At-Risk Road Users On Local Streets, Kota Imayama

Defensive Publications Series

This disclosure describes a method for warning vehicles that an at-risk road user (such as a child, an older adult, or a person who is deaf or blind) is likely present on a low-speed local street, without revealing the individual's identity or even their vulnerability category. An opt-in device or function emits no identifier and no vulnerability fact; presence is spatially and temporally rounded, aggregated under a k-anonymity threshold, and delivered to vehicles as a coarse area-level caution flag over existing navigation or roadside infrastructure. The document enumerates device form factors, anonymization techniques, delivery paths, false-positive suppression, and a bidirectional …

Neural Network Model Watermarking Using Quantized Least Significant Bits And Pseudorandom Error-Correcting Codes, Ranjit Kumaresam, Srinivasan Raghuraman, Ka Log Ng

Defensive Publications Series

The present disclosure relates to watermarking techniques for neural network models that embed verifiable ownership information into model parameters. In one aspect, floating-point weight parameters are quantized and least significant bits are biased during rounding such that the bits collectively encode a pseudorandom error-correcting code derived from a digital signature of a model owner. In another aspect, a pseudorandom codeword generated from the digital signature is directly embedded by replacing least significant bits of quantized weight parameters. In both cases, the watermark is cryptographically verifiable and remains detectable even after model perturbations, fine-tuning, or partial retraining. Ownership verification is performed …

Multi-Agent Architecture For Diagnostics And Configuration Of Media Systems, Bin Xu, Chi Chen, Guillaume Bailey, Paul Colta, Hongguang Chen, Mehmet Hakan Isbiliroglu, Kaile Ding, Michael Keeley, Ryan Kusch, Roman Kalukiewicz, Wolfram Klein, Hugo Du Plooy, Michael Soland, Quxiang Fang, Xurui Huang, Weiping Tang, Zhiji Huang, Juliana Tsang

Defensive Publications Series

Users interacting with media playback systems, such as smart televisions, often navigate complex, nested on-screen menus to adjust device settings such as display brightness, audio quality, or network configurations. This manual navigation process can be cumbersome and unintuitive, creating a barrier to efficient device control and configuration. A user may clearly understand a desired outcome or be able to describe a current issue with the media system but may lack the specific technical knowledge to locate and modify the exact system settings required to resolve the issue.

The disclosed technology describes an agent-based artificial intelligence framework that enables natural language …

Non-Semantic Safety Gates: A Closed-Loop Framework For Agentic Software Evolution, Santosh Kumar Kvs

Defensive Publications Series

A system for validating AI-generated code in a shadow execution environment prior to production deployment includes an AI agent configured to receive an intent from a user device and generate a code package based on the intent, a deployment controller communicatively coupled to the AI agent and configured to receive the code package, a shadow sandbox 105 communicatively coupled to the deployment controller and configured to receive the code package, execute the code package in an isolated environment while mirroring production traffic, and generate telemetry data based on execution of the code package, wherein the telemetry data comprises kernel-level metrics …