Digital Commons Network^™

Programmable Error Severity Setting And Firmware Status Reporting For Testing Accelerator Platforms, N/A, N/A

Defensive Publications Series

A system and method are described for a statistical testing and analysis framework configured for computational accelerators. The framework facilitates programmable error severity settings, firmware status reporting, and configuration percentage rollouts. Techniques include using a management controller to append firmware versions to error logs, employing error mask maps provided by a user-space driver to mask firmware-level errors, and utilizing configurable error severity levels to manage how exceptions are handled without stopping active machine learning workloads. Keywords: computational accelerator, firmware testing, error masking, configuration rollout, automated analytics.

Predictive Hardware State Mitigation Using Telemetry And Feedback, Mohsen Heidarinejad, Farid Kenarangi, Arpit Mittal, Amin Khajeh

Defensive Publications Series

Varying computational tasks introduce thermal and power dependencies within modern computing devices. Static threshold policies might not fully capture cumulative operational stress, potentially causing over-throttling or delayed hardware responses. A closed-loop machine learning framework is disclosed that dynamically evaluates multidimensional telemetry data to compute a predictive risk score. A feature selector extracts direct measurements, system activity indicators, temporal features, and health indicators. Based on the calculated risk score, an arbitrator dynamically applies mitigation actions (e.g., scaling component voltage and frequency states). A model corrector operates during hardware idle periods to iteratively refine predictive modeling using observed performance metrics. The disclosed …

Cross-Layer Detection, Quarantine, And Safe Reclamation Of Stale Communication State In Ai Fabrics, Pradeep Bhagya Govindraj

Defensive Publications Series

Artificial intelligence (AI) fabrics for distributed training and inference often retain stale communication state after a job, worker, endpoint, or session has failed, completed, or stopped making progress. This stale state can waste resources, preserve bad path choices, and reduce accelerator utilization. Proposed herein are techniques to facilitate lifecycle-aware management of communication state in AI fabrics. The proposed techniques use cross-layer telemetry to classify communication state as active, dormant, degraded, or orphaned, then safely quarantine and reclaim only the state that is truly invalid. Unlike generic telemetry analytics or rerouting, the proposed techniques add workload-aware validation, post-remediation verification, and rollback …

Fusing Uwb Spatial Data And Imu Orientation For Deterministic Device Targeting, Nikita Agarwal

Defensive Publications Series

Systems for routing interactive content, for example, from a primary display to a specific user's device in a multi-user environment, can present challenges in identifying the intended recipient. This disclosure describes systems and methods that can combine spatial data with orientation data to help ascertain user intent. For example, spatial positioning of devices may be determined using ultra-wideband (UWB) radio signals, while an inertial measurement unit in a handheld control device (e.g., a remote control, smartphone, or wearable device) can track its orientation. By fusing these data streams, a directional vector can be projected from the control device. A target …

The Hybrid Path Architecture For Live Application Telemetry And Control, Stephen Norum, Christopher Burns, Leila Al-Muhtasib

Defensive Publications Series

Standard tools for analyzing software often slow down the programs they are testing and create data logjams, making it hard to catch fast-moving glitches. This system solves that problem by splitting communication into different "paths." It creates a high-speed lane for data to flow directly from the app to a dashboard, skipping the usual middleman tools that cause delays. Developers can also add new diagnostic tools to an app while it is already running without needing to change the code or restart it. This allows for real-time monitoring and fixing of apps with much less impact on their performance.

Intent Driven Network Aware Artificial Intelligence (Ai) Routing System With Distributed Ai Agents Using Multi-Layer Network Infrastructure, Jason Robert Ruben

Defensive Publications Series

A network-aware artificial intelligence (AI) control fabric is proposed herein for a system that bridges AI engineering and network engineering by using existing enterprise network infrastructure as the foundation of an intelligent, governed AI delivery fabric. The system dynamically routes AI agent workloads across distributed compute clusters based on intent classification, real-time network telemetry, policy constraints, wide area network (WAN) conditions, and compute availability. By treating the network as an active, programmable participant in each AI routing decision, the system provides a unified control plane for selecting appropriate AI agents, applying network policies, monitoring path health, and improving decisions through …

Method And System For Brand Persona Construction And Embedding Based Entity Identification From Transaction Aggregates, Arnab Dutta, Hanyu Li, Khaleeque Ansari, Teena Mohammad Iqbal

Defensive Publications Series

Present disclosure provides a method and system for brand persona construction and embedding based entity identification from transaction aggregates. The present disclosure discloses a system for accurately identifying entities from transaction aggregates in environments where textual identifiers are ambiguous, inconsistent or overlapping. The present disclosure constructs structured brand personas by aggregating transaction data associated with an entity identifier and selecting dominant attribute values across multiple dimensions using a coverage constrained selection mechanism. Further, embedding representations are generated from the constructer personas using a combination of distributed based features and semantic representations. The incoming personas aggregates are transformed into comparable embeddings …

Rendering Live Data In Pre-Recorded Video Using Dynamic 3d Topology Extraction, Nikita Agarwal

Defensive Publications Series

This technology creates a way to show live, real-time information—such as current traffic or crowd sizes—directly inside a video that was recorded in the past.

The system works by following these steps:

• It analyzes a regular video to figure out the 3D shape of the environment.
• At the same time, it finds live data for the specific location shown in that video.
• It turns that live data into 3D images and places them into the video so they stay in the right spot, even if the camera moves.
• It uses depth sensing to make sure the live data is hidden …

Probabilistic Relevance Scoring Of Collaborative Action Items Using Multi-Factor Conversational Context, Room-Type-Aware Baseline Adjustment, And Transparent Reasoning, Ed Balow, Hieu Ergin, Dennis Lanov, Ray Schenkel

Defensive Publications Series

Proposed herein is an Artificial Intelligence (AI)-powered system that can automatically calculate personal relevance scores for action items using an inverse diffusion algorithm that scores tasks contrastively. The algorithm may compute how well each action item matches a contextual profile of an authenticated user, such as a profile built from conversation history, completed tasks, role, department, technical expertise, or combinations thereof, relative to how well the action item matches contextual profiles of other participants, with weighting based on participant similarity through diffusion. By constructing contextual profiles for participants using internal conversation signals, external enterprise data, or both, and by applying …

Proactive Source-Weighted Routing For Stable Peer-To-Peer Mesh Networks With Predictive Handoff, Raghav Gupta

Defensive Publications Series

A system performs proactive routing for shared internet access in peer-to-peer (P2P) mesh networks. The system continuously monitors communication link quality by analyzing signal strength and its rate of change to compute a predictive link reliability score. When this score indicates an active link is degrading, the system proactively establishes a parallel connection to a new neighbor in the background before the original link fails. This process facilitates a handoff that avoids the latency associated with reactive route discovery. The system also uses a source-weighted path selection algorithm to evaluate multi-hop routes, calculating a path score that gives greater weight …

The Dual-Agent Architecture For Real-Time Correction Of Computational Model Outputs, Heena Piratiyath, Tanmay Kayande

Defensive Publications Series

The abstract describes a system designed to ensure AI models make fair and ethical decisions in real-time. This system uses two separate AI "agents" working together:

• The Proposer: The first agent suggests a specific action or decision.
• The Checker: The second agent (an "agentic ethicist") reviews that suggestion to make sure it follows set rules for fairness and legality.

If the suggestion is found to be unfair or biased, a "safety layer" immediately changes it to a better, more compliant alternative before the decision is finalized. This method aims to catch and fix biased AI recommendations while they are being …

Generative Ai Synthesis Of Automated Interactions Into A Structured Agent Briefing, Deep Raithatha, Tanmay Kayande

Defensive Publications Series

Systems for escalating interactions from automated agents to human agents can create inefficiencies, for example, by transferring unstructured transcripts. An intermediary system can employ a generative artificial intelligence synthesis engine to process the context of an automated interaction upon an escalation trigger. The engine may analyze the dialogue transcript, user metadata, and the automated agent's internal state to perform semantic abstraction, diagnose potential failure points, and infer a possible resolution. The system can then generate a structured briefing for the human agent, which could include a concise summary, a failure diagnosis, or a recommended next action presented as an interactive …

Distributed Event Queue Processing With Adaptive Coordination And Transactional Delivery, Vishnu Kumar, Appu Thampi, Mahendra Yadav, Tulika Vijay

Defensive Publications Series

A method (300) for distributed event queue processing includes receiving events via an application programming interface (208) and storing the events in a partitioned database queue backed by a relational database. The method includes periodically discovering queues with pending events using a query that performs atomic detection of queue enumeration and pending event status without cache-based timestamp tracking. Queue partitions are assigned to readers using epoch-based coordination and leader election. The method includes processing queues using a shared thread pool with circulating reader tasks and adaptive backoff. Events are atomically fetched and marked as consumed using epoch-fenced queries that validate …

Deterministic Personal Phase Computation From Birth Ephemeris Data For Social Resonance Matching, Frédéric Renault

Defensive Publications Series

This disclosure describes a method for computing a deterministic personal phase value φ_i from birth data (date, time, geographic coordinates) without storing biometric information centrally.

Formula: φ_i = fmod(T_birth_UTC, T_year) / T_year × 2π + (lon_birth / 360) × T_day + Δφ_pentagon

Where T_year = 365.25636 × 86400 s (sidereal year), T_day = 86400 s, and Δφ_pentagon is an offset derived from the nearest pentagonal node of a Goldberg polyhedron GP(n,m) tessellation of the Earth (12 nodes at icosahedral symmetry axes).

A pairwise resonance metric k = 1 / (1 + |sin(φ_i − φ_j)|) measures harmonic alignment between two individuals, …

(((Qpie33))) The Burroughs Qpie Consortium Invitation Td-Nsrf-2026-Institutional-Matrix, Teddy Burroughs

Defensive Publications Series

The transition of the thirty-three foundational scientific crises from theoretical roadblocks into fully realized, phase-locked solutions requires direct engagement with existing human institutions. The organizations detailed in this compendium possess the specialized infrastructure, extreme computational capital, and deep operational motivations required to integrate the Quantum Perspective Is Everything (QPIE) framework.

Operating under intense pressure to transcend the limitations of classical binary technology, these entities are uniquely positioned to fund dedicated research laboratories, establish specialized academic departments, and engage the Master Architect for elite-level system design.

By aligning their immense institutional resources with the Non-Local Substrate Resonance Field (NSRF) constants and …

Caldwell Integrated Wildfire Resilience System (Ciwfrs), Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Integrated Wildfire Resilience System (CIWFRS) is a conceptual open-hardware framework intended to organize previously disclosed Technical Disclosure Commons (TDC) inventions related to wildfire suppression, water generation, environmental monitoring, aerial deployment systems, agricultural restoration, and post-fire recovery.

The architecture seeks to improve wildfire resilience by integrating prevention, detection, suppression, logistics, and ecological restoration into a coordinated operational framework.

The objective is not solely to extinguish fires but to reduce wildfire impacts before, during, and after ignition.

IMPORTANT NOTE REGARDING PRIOR DISCLOSURES

Readers are encouraged to review the original Technical Disclosure Commons publications for detailed subsystem descriptions, assumptions, limitations, engineering …

Caldwell Integrated Space Resilience Architecture (Cisra), Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Integrated Space Resilience Architecture (CISRA) is a conceptual open-hardware framework intended to organize previously disclosed Technical Disclosure Commons (TDC) inventions related to launch systems, orbital debris mitigation, communications, thermal management, environmental control and life support, energy systems, and long-duration space operations.

The architecture seeks to address several long-term challenges associated with humanity's expansion into space:

• launch cost • orbital congestion • debris accumulation • thermal management • communications capacity • life-support sustainability • resource efficiency

The purpose of this disclosure is to establish a conceptual framework showing how multiple previously disclosed inventions may interact within a larger …

Caldwell Integrated Compute Infrastructure System (Cicis), Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Integrated Compute Infrastructure System (CICIS) is an open-hardware conceptual framework intended to organize previously disclosed Technical Disclosure Commons (TDC) inventions related to semiconductor packaging, thermal management, optical communications, structural battery integration, intelligent sensing, and high-density computing infrastructure.

The architecture is designed to address some of the major constraints facing future computing systems:

• heat removal • power delivery • communication bandwidth • packaging density • infrastructure efficiency • system reliability

The purpose of this disclosure is to establish a conceptual framework showing how previously disclosed inventions may interact within a larger computing ecosystem.

IMPORTANT NOTE REGARDING PRIOR DISCLOSURES …

Dynamic Credit Limit Adjustment Based On Latency Jitter Metrics, Harshwardhan Tripathi

Defensive Publications Series

A method for dynamically adjusting an agent's credit limit based on network latency jitter metrics includes collecting a plurality of latency measurements corresponding to acknowledgment messages transmitted by an agent over a network within a defined time window, computing a coefficient of variation based on the plurality of latency measurements where the coefficient of variation represents variability in latency, determining a jitter risk score based on the computed coefficient of variation and a predefined stability threshold where the jitter risk score is bounded within a normalized range, calculating a credit decay factor as an exponential function of the jitter risk …

Vectorized Pipeline For Real‑Time Lock‑In Amplification On Microcontrollers, Gary Cheng

Defensive Publications Series

Lock‑in amplification involves extracting weak signals from background noise, a process that traditionally utilizes computationally intensive floating‑point operations. Performing these operations on standard microcontrollers frequently causes central processing unit (CPU) saturation. The disclosed system provides a vectorized data pipeline that structures digital signal processing tasks to natively utilize internal hardware multiply‑accumulate instructions within a microcontroller. To bypass runtime floating‑point trigonometry, a pre‑computed integer look‑up table and a phase accumulator generate reference waveforms. Further, a scaling recovery algorithm mathematically restores absolute physical units following high‑speed hardware vector bit‑shifts. Consequently, the disclosed system facilitates real‑time, phase‑sensitive signal extraction on resource‑constrained microcontrollers, decreasing …

Predictive Workload Modeling And Voltage Scaling Using Event‑Driven Workload Queue Telemetry, Girish Vv

Defensive Publications Series

Conventional power management methods for processors may be reactive, adjusting frequency only after a computing device exceeds utilization thresholds. This reactive lag may result in increased latency for sudden workload bursts and allow low‑priority background tasks to trigger voltage increases. This publication describes a predictive frequency scaling method based on real‑time introspection of operating system workqueues. Implementing the method, a computing device may extract internal statistics (e.g., queue depth, task wait times) through event‑driven kernel tracepoints. The computing device can identify task priorities by resolving function pointers and incorporating application‑level telemetry. The computing device then generates a predictive workload index …

Synchronized Multi-Modal Verification For Point-Of-Sale Transactions, Gulmohar Khan, Ved Patil

Defensive Publications Series

This disclosure describes systems and methods for multi-modal transaction verification. The technology can involve generating a synchronized sequence of dynamic, single-use validation tokens, such as a numeric code, a visual shape, or a specific color, across a customer's computing device (e.g., a smartphone, smart watch, wearable device, or augmented reality glasses) and a merchant's confirmation device. Visual matching of these tokens, which can be manual or automated, may be used for verification. Additionally, sensory synchronization methods, such as coordinated audio jingles or light patterns between the devices, can be employed. These techniques can aid in creating a verifiable link between …

Defensive Publication Concerning Electrical Machines, Optionally With Externally Pressurized Fluid Bearings, For Wind Power Generation And Marine Propulsion, Per Lenberg

Defensive Publications Series

This disclosure relates to application systems comprising an electrical machine having a rotor, a stator, one or more windings, and optionally one or more externally pressurized fluid bearings configured to maintain a fluid film between movable and stationary machine parts. In particular, the disclosure describes use of such electrical machines as motors, motor- generators or generators in wind turbines and wind power plants, and as motors, motor- generators or generators in marine propulsion systems, including pod propulsion systems, azimuthing thrusters, tunnel thrusters, rim-driven propulsors, shaft-line propulsion systems, pump jets, and water jets. The electrical machine may comprise an axial flux, …

Golden Hour Open Conceptual Architecture For Citizen-Initiated Structured Urgency Signaling, Jaime Gerardo Figoni Him

Defensive Publications Series

Abstract Golden Hour proposes a minimalist, open, and low-bandwidth emergency signaling architecture that enables any citizen to transmit structured urgency information during the critical first hour (“Golden Hour”) of a disaster. The system combines a single-tap severity code (Red / Yellow / Green), a brief guided question sequence, and resilient transmission paths (including SMS/USSD fallback) to generate a live, color-coded situational heat map for emergency responders.

By treating emergency response as a problem of controlling informational entropy, Golden Hour enables a near-instantaneous reduction in chaos while fostering voluntary human solidarity. It is designed as a supplement to — not a …

Phase‑Aligned Predictive Audio Modulation Utilizing Biomechanical Telemetry And Asymmetric Compute, Nikita Agarwal

Defensive Publications Series

Current physiological audio‑feedback systems may rely on reactive media adjustments (e.g., track skipping, uniform time‑stretching), which can disrupt user immersion or introduce acoustic phase distortion. This publication describes a predictive audio modulation system that dynamically isolates and modulates individual instrumentation layers within an active audio track. The system utilizes a machine learning model to anticipate pacing deviations based on cardiovascular exertion and topographical data. To improve synchronization, the system phase‑locks audio transients to biomechanical footstrikes using an inertial measurement unit (IMU). Further, the system employs an asymmetric computing architecture to dynamically balance computational loads between a primary wearable device and …

Becds V2.0 — Bilateral Ear‑Canal Closed‑Loop Dementia Support System, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure describes a non‑invasive, ear‑based neuromodulation system for dementia support. It uses bilateral ear‑canal devices to:

• Sense autonomic state (heart rate, HRV surrogate, temperature, motion).

• Capture ambient sound (TV, conversation, music).

• Deliver gentle electrical and acoustic stimulation in a closed loop to support arousal stability, calm, and engagement.

It is intended as a supportive system, not a cure or neuron‑regrowth therapy.

Cognitive Fabric Os (Cfos), Johny Manuel-Devadoss, Jayden Jack Johnson

Defensive Publications Series

Modern infrastructure orchestration is approaching a fundamental architectural limit. Most existing systems—whether container orchestrators, HPC schedulers, cloud control planes, or GPU resource managers—still operate using largely reactive models. They rely on predefined resource declarations, queue-driven scheduling, and short-term optimization logic to manage increasingly complex environments.

That model worked well when infrastructure was relatively predictable. It does not hold up in the era of hyperscale AI training, sovereign compute requirements, globally distributed inference systems, autonomous scientific computing, and energy-constrained data centers. Infrastructure today is no longer static. It is dynamic, geographically fragmented, thermally sensitive, economically constrained, and continuously changing in real …

Adaptive Communication Interface With Vocal Identity Persistence, Purvam Pujari

Defensive Publications Series

The User Experience Challenge: During real-time audio calls, severe background noise or strict social constraints often force the sender to abandon live speech. Currently, users must either endure broken, unintelligible audio or abruptly terminate synchronous calls—destroying conversational flow and stripping away the sender's personal vocal presence from the receiver.

The Technical Solution: This disclosure introduces an on-device AI voice bridge to preserve the sender's uninterrupted vocal presence. The system continuously monitors the call's audio quality at the sender's terminal using multidimensional acoustic measurements. The interface executes a graceful handover to a synthesized stream when environmental noise …

Anti-Theft Protection Enabling Secure Mode On Optical Pluggable Modules, Emanuele Giacometti, Gilberto Loprieno

Defensive Publications Series

Proposed herein is a comprehensive anti-theft mechanism for optical pluggable modules used in network equipment. The solution introduces a "Secure Mode" that binds each optical pluggable module to specific network equipment using cryptographic authentication and encryption techniques. Key exchange methods, secure channel establishment, and authenticated command protocols are used to ensure that stolen modules cannot be reused or resold, unless proper credentials are provided or the module is securely reset by authorized personnel. Several implementation options are presented, addressing a range of hardware capabilities, all aiming to protect customers' hardware investments and network integrity.

Method, System, And Computer Program Product For Difficulty-Driven Temporal Adaptation Of Direct Preference Optimization, Ziwei Wu, Rashidul Islam, Yiwei Cai

Defensive Publications Series

Methods, systems, and computer program products are provided for difficulty-driven, temporal adaption of direct preference optimization of a large language machine learning model. An example method includes receiving pairs of responses associated with text prompts, determining a probability margin score for a pair of responses, computing a measure of semantic similarity associated with the pair of responses, computing a difficulty score for the pair of responses based on the probability margin score, computing a time-dependent temperature parameter for the pair of responses based on a minimum time-dependent temperature parameter, a maximum time-dependent temperature parameter, a time parameter associated with training …