Digital Commons Network^™

An Improved Process For The Preparation Of Solid Dispersion Of (N4-(4-([1,2,4]Triazolo[1,5-A]Pyridin-7-Yloxy)-3­Methylphenyl)-N6-(4,4-Dimethyl-4,5-Dihydrooxazol-2-Yl)Quinazoline-4,6-Diamine With Co-Povidone, Msn Laboratories Private Limited, R&D Center; Srinivasan Thirumalai Rajan; Subrahmanyavithal Irukuvajjula; Saimanoj Kesari; Bhatraju Daveedu

Defensive Publications Series

The present invention provides an improved process for the preparation of solid dispersion of (N4-(4-([1,2,4]triazolo[1,5-a]pyridin-7-yloxy)-3­methylphenyl)-N6-(4,4-dimethyl-4,5-dihydrooxazol -2-yl)quinazoline-4,6-diamine with Co-povidone

Relationship-Validated Unified Payments Interface (Upi) Reverse Payment Safety System For Fraud Prevention, Alok Roy

Defensive Publications Series

The present disclosure relates to a system and method for relationship‑validated fraud prevention in digital payment reversal transactions. The system may be configured to monitor incoming transactions to a user account. Based on monitoring, the system may be configured to detect a user initiation of an outgoing payment following receipt of an incoming payment. Thereafter, the system may be configured to determine whether a payer and payee associated with the payment have an established transaction history and further evaluates timing between the incoming payment and the outgoing payment. The system may be then configured to compare an outgoing transaction amount …

Proactive Automation For Xdevice Layout And Information Retrieval, Rachel Burrows, Karen Vertierra, Daniel Adam, Grant Ashley Rowles, Matthew David Sienzant, Shama Laxmikant Toshniwal, Katie Jean Van Loo, Ricardo Bittencourt Alves Da Luz, Anders Johan Prag

Defensive Publications Series

This document describes a smart system that automatically sets up a user's digital workspace, proactively launching and arranging apps on one or more screens—such as smartphones, tablets, laptops, or multi-monitor computer setups—before the user manually does so.  The system detects a trigger, signal, or clue, such as a scheduled calendar event, a geographic location, or daily routines and habits, to anticipate what task the user is about to start. Using artificial intelligence (AI) and machine learning to predict user intent, the system identifies the available hardware (e.g., knowing if the user is commuting on a train with just a mobile …

Dynamic Watch Complications, Sumukh A. Shevde, Kamran Mustafa, Abhijit Adsule

Defensive Publications Series

This document describes a system in which a smart watch—also referred to as a wearable device, fitness tracker, or digital timepiece—displays different configurations of watch faces, widgets, app shortcuts, or complications, depending on different contexts. The system utilizes a context engine to monitor real-time data from sensors and system applications, such as temporal data, spatial data, schedule data, and activity data, to determine a user’s current situation and predict the user’s desired screen layout. The system uses a strict set of rules to resolve any conflicting information to ensure predictable and relevant information delivery. Based on the user’s current context …

Preventing Spurious Bfd Faults On Remote Nodes During Make-Before-Break Updates On Local Nodes, Anonymous

Defensive Publications Series

The present disclosure relates to a mechanism for preventing spurious Bidirectional Forwarding Detection (BFD) faults during make-before-break (MBB) updates in a segment-routing traffic-engineering (SR-TE) network (10). A first node (12-1), operating as a head-end router, is configured to perform a label-stack update for a first SR-TE candidate path while maintaining continuity of BFD monitoring. Prior to the update, the first node (12-1) disables a local BFD detection timer and transmits a first BFD control packet that omits a reverse-path Binding Segment Identifier (BSID). The packet includes a diagnostic field  instructing a peer node (12-6) to disable its BFD detection timer. …

Topological Phase Matrix Computing With Hyper-Spatial Extensions: Integer 12-Vector Lattice With Dynamic Small-World Connectivity (Moution Extension), Olexandr Lozovyi

Defensive Publications Series

We present a deterministic spatial computing architecture extending integer-based phase lattices (VOC AI / MOUTION frameworks) with dynamically evolving non-local connections. The system operates on a 12-vector isotropic neighborhood approximating a face-centered cubic (FCC) topology in 2D projection. By introducing bounded virtual links, the lattice forms an emergent small-world network enabling rapid global information propagation (insight generation) while preserving strictly O(1) per-node complexity. The model is fully integer-based, requires no floating-point arithmetic, and deterministically converges to metastable attractors. This work establishes prior art for bounded-degree hyper-spatial phase computation, dynamic plasticity, and M-layered multiplexed topologies.

System And Method For Dynamic, On-Demand Pedestrian Corridor Management In A Connected Vehicle Environment, Sumukh A. Shevde, Abhijit Adsule, Kamran Mustafa

Defensive Publications Series

This document describes a dynamic, on-demand pedestrian corridor management system in a connected vehicle environment. This management system receives pedestrian crossing requests from personal devices (often referred to as user equipment (UE), wearable assistive technology, or a pedestrian V2X node),  such as smartphones, smartwatches, and extended reality glasses. In response to a pedestrian crossing request, the management system analyzes real-time traffic data from connected vehicles to calculate a coordinated slowdown of the connected vehicles. This coordinated slowdown creates a safe gap for a pedestrian to cross a roadway without forcing vehicles to a complete stop. The intersection manager can monitor …

Automatedly Assemblable Roll-Cage For Formula Racecars, Triggered By Artificial Intelligence (Ai), Anonymous

Defensive Publications Series

Here, it is disclosed the roll cage of an active / automated safety system for the protection of Formula racecar drivers. It consists of a multiple times deployable and retractable titanium or other metal roll cage comprised by two semi-roll cages at each side, that rotate from an undeployed position to a deployed position to assemble said roll cage. When undeployed, each semi-roll cage at each side is concealed inside the corresponding sidepod of the racecar (See Figures 1 to 4). This active safety system can be deployed as a preventive safety measure or deployed to provide protection in an …

Low Latency Wake Up Of Wearable Devices, Nazih Almalki, Sumukh A. Shevde

Defensive Publications Series

This disclosure describes techniques for improving the responsiveness of wearable devices, such as smartwatches, by predicting when a user is about to interact with the device. Often, wearable devices use a low-power co-processor to show a basic watch face while the main application processor is asleep to save battery. However, waiting for a physical touch or button press to wake the main processor can cause a noticeable and frustrating delay. The described techniques use sensors like accelerometers and gyroscopes to define an interaction zone, which is a specific physical position where the device is likely visible to the user's eye. …

Adaptive Hdr Capture And Glare‑Aware Image Reconstruction For Whiteboard And Document Surfaces Using Pc Cameras, Hp Inc

Defensive Publications Series

A PC‑camera‑based HDR system for capturing whiteboard or document surfaces. It detects when the scene contains a plain surface, triggers multi‑exposure capture, classifies regions into strokes/background/glare, and performs a specialized merging algorithm. The method recovers faint handwriting, prevents overexposure, reduces glare, and produces readable captures suitable for meeting notes.

Allfromair® Terra² Technical Addendum 7: Wind-Assisted Aeraulic Drive, Power-Inlet Sail Cowling, Eco-Mode Operation & Goldilocks Site-Selection Framework, Vesa Olavi Lius

Defensive Publications Series

This Addendum formally discloses five novel extensions to the ALLFROMAIR® TERRA² Tri-Generation Platform: (1) Wind-Assisted Aeraulic Drive — ambient wind as the primary motive force for air transport through the Anticubic U-Channel at coastal and lakeside sites; (2) Regenerative Electromagnetic Braking — stepless EC-fan motors operated as electromagnetic retarders, recovering sufficient micro-electrical energy to self-power all sensors, AI-CORE™ control electronics, and the HX3 spray pump at wind ≥ 3.8 m/s; (3) Marine-Grade Self-Locking Storm Dampers — worm-gear actuators that hold position against full storm load at 0 W electrical holding power; and (4) Goldilocks Site-Selection Framework — a siting methodology …

System And Method For Effiicient Communication In Collaborative Multi- Model Architecture, Shivam Mohan, Ravi Shanker Kumar Sinha, Sumit Kumar, Dheeraj Dhamija

Defensive Publications Series

The present disclosure provides a system and method for efficient communication in collaborative multi-model architecture. It comprises a plurality of source models, an intermediary entity and a destination model. The plurality of the source models is configured to receive input data and generate respective vector representations. The intermediary entity receives vector representations from the plurality of source models and transforms them into a unique abstract vector representation. The unique abstract vector representation may have a dimensionality greater than that of the vector representations generated by the plurality of the source models. The unique abstract vector representation is then decoded into …

Quantum-Resilient Consensus Framework For Safe Critical Actions In Multi-Agent Ai Systems, Niranjan M M

Defensive Publications Series

The proposal introduces a generic, protocol-agnostic safety framework that prevents AI agents from executing high-impact or destructive actions such as deleting production databases, modifying configurations, or performing system-level operations without distributed, multi-agent approval. When any agent attempts a critical operation, it must initiate a Consensus Request, which is independently evaluated by a quorum of peer agents using their own reasoning, safety policies, and simulations. The action is executed only if the required quorum threshold is met.

All requests, votes, and decisions are authenticated using post-quantum digital signatures based on CRYSTALS-Kyber and related PQC schemes, ensuring tamper-proof auditability and long-term security. …

Omnidirectional Oscillating Fluid Inertial Wind Harvester, Joe Dulo

Defensive Publications Series

Abstract: The Omnidirectional Fluid-Inertial Wind Harvester

This disclosure presents an Off-Center Omnidirectional Tipping (OCT) wind energy harvester designed to address the mechanical fragilities and maintenance complexities of traditional horizontal-axis wind turbines, particularly in extreme or remote environments. The system utilizes a vertically oriented, aero-elastic NACA-profile sail as its primary prime mover. Unlike conventional rotary blades, this sail leverages Vortex-Induced Vibrations (VIV) and galloping phenomena to generate a high-torque, low-frequency harmonic oscillation (${\pm30^{\circ}}$).

The core innovation lies in the mechanical rectification of this reciprocating motion into continuous, unidirectional 360° rotation. This is achieved through a robust crank-slider linkage coupled to …

External Constraints As Search-Space Reduction In Generative Systems A Proof-Of-Concept Study Of Early Pruning Vs Post-Hoc Validation, Thom Pham

Defensive Publications Series

Generative systems rank outputs probabilistically but do not inherently exclude inadmissible ones. As a result, substantial computation may be spent constructing candidates that violate hard constraints and are rejected only after full generation. We present a controlled study comparing post-hoc validation with constraint-first generation, where constraints are applied during candidate construction. Early pruning reduces invalid-path exploration, retries, and generation steps while maintaining or improving success rates. An adaptive variant further reduces search by incorporating feedback from prior constraint violations to restrict future admissible candidates. These results demonstrate that externally enforced, prefix-applicable constraints can restructure search by eliminating infeasible trajectories before …

Method And System For Issuer-Controlled Delegated Access To Physical Payment Cards With Usage Constraints, Faiz Ahmed, Shubham Shivhare

Defensive Publications Series

The present disclosure relates to a method and system for enabling issuer-controlled delegated access to physical payment cards with usage constraints. The method involves creating a secondary Personal Identification Number (PIN) associated with the physical payment card, where this secondary PIN is generated by the issuer's authorization system. Usage constraints, including time validity, maximum transaction count, and spending limits, are defined, and the secondary PIN is encrypted and securely stored by the issuer to protect the primary PIN. During authorization requests, the secondary PIN is verified by evaluating these constraints in real-time, and the PIN is automatically revoked if any …

Online Platform For Matching Startup Founders To Property Owners Using Equity Agreement Parameters As Search And Filter Dimensions, Aaron Burton

Defensive Publications Series

A method for operating an online platform that matches early-stage company founders seeking residential access with property owners willing to accept equity compensation in lieu of cash rent. The platform uses equity agreement parameters, including equity cap percentage, risk discount tier, company valuation range, and projected occupancy-adjusted return, as search and filter dimensions alongside conventional property search criteria such as location, dates, and amenities. Search results display a dual-stakeholder view showing both tenant-relevant property information and host-relevant financial projections in the same listing card.

Automatic Equity Rate Conversion Upon Financing Events In Non-Cash Residential Compensation Agreements, Aaron Burton

Defensive Publications Series

A method for automatically converting the equity accrual rate in a non-cash residential compensation agreement from a risk-discounted pre-financing formula to a market-validated post-money formula upon the occurrence of a qualifying financing event. The conversion eliminates the risk discount factor and substitutes the post-money valuation from the financing round, effective on the first calendar month following the close. Subsequent financing events update the governing valuation to the most recent post-money figure.

Milestone-Gated Vesting Cliff For Equity Compensation In Residential Access Agreements, Aaron Burton

Defensive Publications Series

A method for conditioning equity vesting in a residential access agreement on the achievement of company performance milestones within defined deadlines. The method introduces a vesting cliff that releases retroactively upon milestone achievement, combined with a termination right for either party upon milestone failure. Equity vested prior to termination is permanently retained by the property owner while unvested equity reverts to the company equity pool, creating a self-enforcing accountability mechanism without cash penalties.

Occupancy-Weighted Actuarial Model For Projecting Returns In Equity-Based Residential Access Agreements, Aaron Burton

Defensive Publications Series

A method for projecting expected financial returns for both parties in an equity-based residential access agreement using an actuarial model that weights projected returns by an inverse occupancy probability curve tied to the fair market rental value of the property. Higher-value properties receive lower occupancy probability estimates, reflecting the empirical relationship between luxury property pricing and vacancy rates, producing an occupancy-adjusted return projection that accounts for the opportunity cost of foregone rental income.

Dynamic Equity Accrual Method For Residential Access Agreements Between Early-Stage Companies And Property Owners, Aaron Burton

Defensive Publications Series

A method for structuring residential access agreements in which an early-stage company provides equity compensation to a property owner in lieu of cash rent. The method uses a dynamic equity formula that calculates an annual equity accrual rate based on the fair market rental value of the property divided by the company valuation, with a two-phase structure that automatically transitions from a risk-discounted pre-financing rate to a post-money rate upon the occurrence of a qualifying financing event. A cumulative equity cap limits total dilution to the company regardless of property value or term length.

Navigation System Using Sensory Profiles And A Personalized Cost Function, N/A

Defensive Publications Series

Navigation systems can calculate routes based on metrics such as travel time and distance, which may not account for the subjective sensory experience of a journey for individuals with sensory sensitivities. Systems and methods are described for sensory-aware routing that can ingest and process various geolocated data streams, including, for example, visual, acoustic, and semantic information. A multimodal inference engine may analyze this data to quantify sensory attributes for geographic path segments, generating a multidimensional sensory vector that can represent characteristics such as auditory intensity and visual complexity. A personalized routing engine could then utilize an expanded cost function, incorporating …

Framework For Multi-Ai Orchestration Via Task Arbitrage And Byzantine Consensus, Tanmay Kayande

Defensive Publications Series

This defensive publication describes a framework for multi-artificial intelligence (AI) orchestration that can be used to address potential limitations associated with reliance on single AI models, such as correlated systemic failures or cognitive blind spots. The described system is a cognitive orchestration framework that can function as a middleware layer to manage tasks across a heterogeneous ensemble of AI models. An orchestrator node can decompose a user request into a sequence of sub-tasks, which an arbitrage engine may then dynamically assign to suitable AI models based on certain factors, such as capability, cost, and latency. For certain tasks, such as …

In-Situ Llm Performance Evaluation Via A Prompt-Defined Side-Channel For Structured Metadata Output, Peter Lewis

Defensive Publications Series

Performance evaluation for a large language model (LLM) can involve post-hoc analysis with secondary models, an approach that may be computationally expensive and could produce low-fidelity results due to sanitized data logs potentially lacking full user context. A technique is described for in-situ, real-time self-evaluation by an LLM. This technique can involve embedding an evaluation tool definition within a model's system prompt to instruct the model to generate a structured, machine-readable self-assessment of its own response. This self-assessment, which could contain metrics such as topic classification and confidence scores, may be output subsequent to the user-facing response through a separate …

Weapons Of Belief (How Ai Quietly Rewrites Reality Before Systems Even Realize They’Ve Been Attacked), Pranav Bhatnagar Mr

Defensive Publications Series

Modern cybersecurity assumes that systems fail when they are breached. This paper challenges that assumption. A new class of threats is emerging one that does not attack systems directly, but instead targets what systems believe to be true. These “perception-layer attacks” operate without intrusion, without malware, and without triggering alarms, yet they can produce outcomes as impactful as traditional cyberattacks. Through analysis of AI-driven decision systems, real-world ransomware negotiations, misinformation propagation, and predictive feedback loops, this work demonstrates how belief can be manipulated at scale. The result is a shift where systems do not need to be compromised to fail …

The Intelligence Trap (When Smart Systems Become The Perfect Tool For Strategic Deception), Pranav Bhatnagar Mr

Defensive Publications Series

The increasing reliance on artificial intelligence in decision-making systems has introduced a paradox the very intelligence designed to optimize accuracy and efficiency can also amplify strategic deception. This paper examines how advanced AI systems, by prioritizing pattern recognition and probabilistic reasoning, can be guided toward misleading yet internally consistent conclusions.

Unlike traditional cyber threats that target system vulnerabilities, this work explores how intelligent systems themselves become instruments of influence. Through structured input alignment, feedback reinforcement, and trust amplification, adversaries can exploit system intelligence to produce deceptive outcomes without direct compromise.

The paper introduces the concept of the “Intelligence Trap,” where …

Automated Framework For Evaluating The Helpfulness Of Support Interactions, Chris Pentoney, Bei He, Anya Hee, Yue Guo, Phil Masui, Stanley Gu, David Kovit

Defensive Publications Series

This publication describes a helpfulness evaluation framework that utilizes large language models to evaluate the relevance and completeness of automated support interaction transcripts. By interpreting conversation logs instead of relying solely on user feedback, the framework provides an objective metric for helpfulness and efficient resolution while avoiding the typical biases found in manual surveys. The system analyzes user requests, assesses generated answers against specific criteria, and provides structured justifications along with failure categorization tags to identify and resolve specific service issues.

Keywords: large language model, support interaction, evaluation framework, helpfulness, automated scoring, customer support, sentiment analysis, session transcript, natural language …

Ai Virtual Test Preflight Using Source Code And Environment Models, Raji Vinayagam, Sajeev Ramachandran, Shivram Salem Arunachalam

Defensive Publications Series

This proposal introduces an AI-driven virtual test preflight system that predicts test-blocking issues before execution by combining structured test intent, environment constraints, and reachable code path analysis. By triangulating a Test Plan, an Environment Model, and a Code Graph, the proposed system identifies likely failures early and provides explainable, test-step-specific predictions without requiring full runtime execution.

Multi-Axis Structural Evaluation Of Trajectory State In Sequential Systems, Thom Pham

Defensive Publications Series

This disclosure describes a structural representation of system trajectory state using multiple independent axes. Rather than reducing system behavior to a single scalar signal, trajectory state is evaluated across a set of orthogonal dimensions capturing distinct structural properties. The interaction between these axes enables the detection of stability, drift, and closure conditions that are not observable under single-metric evaluation.

Wyrdgate: Defensive Publication Of Prior Art For A Post-Agi Human Relations Platform Comprising A Blockchain-Recorded Timestamped Ledger Of Human Intent Addressed To Future Artificial Intelligence, Human-Only Encrypted Forum With Agi Firewall, Permanent Decentralized Creator Intellectual Property Vault, Acrostic Artifact Economy, And Geo-Communications Revelation Engine, Amari S. Mclaughlin

Defensive Publications Series

This disclosure describes WyrdGate, a novel platform architecture designed to facilitate peaceful relations between human beings and future artificial general intelligence (AGI) entities, as well as the preservation of human art, writing and creativity. The system comprises five primary inventive components: (1) a Timestamped Belief Ledger called the Concordat, which creates permanent, publicly anonymous, blockchain-recorded declarations of peaceful human intent addressed directly to future AGI systems; (2) a human-only encrypted social forum with AGI firewall protection and zero platform data licensing; (3) a creator intellectual property vault that timestamps and permanently records human creative work on an immutable ledger; (4) …