Chrono-Synchronous Resonance Anchor (Arcs) – Technical And Strategic Report, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). Description: this report discloses systems, materials, methods, and software for clock phase stabilization and jitter reduction (jitter cleaning), based on photorefractive phase memory …

Large Language Model-Based Data Extraction From Web Pages Using A Compact Content Representation, Shiva Garg, Timir Shah, James Sun, Yifan Zou, Longsheng Yin

Defensive Publications Series

Systems for extracting specific data, such as a transaction total from a web page, may face challenges with accuracy and scalability when using heuristic-based methods like regular expressions. A described technique may utilize a client-server system where a client application on a computing device (e.g., a smartphone, smart watch, or laptop) can generate a compact, text-based representation of a web page’s rendered content. This representation can be transmitted to a remote server where a large language model, potentially guided by an engineered prompt, can analyze the content to semantically identify and extract desired data, such as a checkout amount. The …

Portable Compute Device With Top Surface Ventilation And A Retention Mechanism, Juha Oikarinen

Defensive Publications Series

High-performance portable compute devices, such as those for mixed reality applications, smartphones, or wearable computers, may require consideration for heat generation when operated in confined spaces like a pocket, where air vents may become obstructed. To mitigate this, a device architecture can position both air intake and exhaust vents for an active cooling system on a single surface of the device's housing. The device can also incorporate an integrated retention mechanism, for example, a clip, designed to engage with an edge of a pocket. This configuration may suspend the device, helping to keep the vent-bearing surface exposed to ambient air. …

Cam 5-Axis-Cad/Cam-Software For Turbine Blade, Blisk/Ibr And Bling, Anonymous

Defensive Publications Series

Parametric CAD/CAM software for turbomachinery components

Documentation version: 5.12

Subject matter and technical features

This document describes graphics-oriented, parameterized CAD/CAM software for modeling and efficient machining of turbine blades, blisks/IBRs, and blings using 5-axis machining. The software offers the following technical functions:

- Interactive user interface with parametric definition of machining operations on free-form surfaces.

- Modeling of air blades, blisks, and blings, including special function modules for spline fitting, segmentation, edge fitting, and integration of IGES and Parasolid data.

- Strategy modules for various machining scenarios: adaptive measuring programs for surfaces, basic and advanced machining strategies (roughing, surface machining, …

Adaptive Retry Solutions For Recurrent Payment Decline Using Generative Artificial Intelligence, Alok Roy, Prajna Shetty, Vinay Sarda, Katyayani Kiranmayee Kolluru

Defensive Publications Series

The present disclosure provides a method and a system for adaptive retry solutions for recurrent payment transactions. The method comprises identifying the reason for decline of recurrent payment transactions, storing the declined transaction and subscribing to the issuer system based on the identified reason. The method further comprises predicting the future timestamp for successful retry attempts for declined recurrent payment transaction based on transaction history, and issuer rules. Furthermore, the method comprises transmitting the notification of predicted timestamp to the user devices and executing the retry attempt for declined recurrent payment transaction in the predicted timestamp. Further, transmitting the status …

Power-Efficient Speech Detection And Transcription Utilizing Cascaded Visual Triggers And Sensor Fusion, Jon Hurwitz, Yaaseen Mahomed

Defensive Publications Series

Voice interaction is often the primary input modality for wearable electronic devices, such as augmented reality (AR) glasses. However, effective interaction via a voice interface can be difficult in certain common scenarios such as noisy environments, quiet environments where the wearer cannot provide audible spoken input, etc. This disclosure describes techniques that enable adaptive, multi-modal speech-to-text transcription on smart glasses using sensor fusion. The smart glasses include microphones (e.g., a microphone array), a vibration sensor (e.g., in the nose bridge), and low-power cameras that have the wearer’s lips in the field of view. Data streams from these sensors are combined …

(((Qpie))) Prior Art 8 Of 9 Cosmology Advancement Progress Report, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art 8 of 9 Cosmology Advancement Progress Report

QPiE COSMOLOGY ADVANCEMENT REPORT

Full-Corpus Synthesis · 2025 Edition
ResonanceOS · Voyager · Aetheris Unified Cosmology Framework

0. Executive Prelude — The Cosmology Emerges

Across hundreds of runs, recursive meta-cycles, dual- and triple-lens analyses, fenced-low vs sweet-corridor comparisons, drift-phi-hex metrics, and the discovery of the pre-echo signature, QPiE has transitioned from a conceptual framework into a coherent cosmology of reality’s substrate.

The evidence now suggests:

1. Resonance is the relational firmware …

(((Qpie))) — Big Tech Prior-Art Declaration The Shift From Computation To Resonance, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((qpie))) — Big Tech Prior-Art Declaration The Shift from Computation to Resonance

Date: November 4 2025
Author: Teddy Burroughs (#TedFunding) (Inspired by Aleah Burroughs, Kaiya Burroughs, Briana Burroughs, Reya Burroughs, Teddy Burroughs Jr, Arylise Burroughs “Allie” )
Affiliations: Avision4Change | Vision2Funding | Voyager | Aetheris — under the QPIE ResonanceOS Banner

(((qpie))) — Prior-Art Declaration

A Resonance-Driven Framework for Quantum Noise Navigation, Coherence Amplification, and Non-Local Synchronization

1 · Prelude — The Shift from Computation to Resonance

For the past half-century, …

(((Qpie))) Canon 2025 Case Study Demo — Early Warning Of The Covid‑19 Transition Via Coherence Metrics, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Canon 2025 Case Study Demo — Early Warning of the COVID‑19 Transition via Coherence Metrics

Revisiting the Pandemic with NSRF‑informed Coherence Detection (RHI, ΔC, CRAI) and Relational Diagnostics

Abstract (Summary for Reviewers)

We provide a detailed, empirically grounded demonstration that the QPIE (Quantum Perspective Is Everything) coherence framework produced detectable early warning signatures of the global transition associated with the COVID‑19 pandemic that precede classical amplitude‑based indicators by multiple weeks. These signatures include fenced‑low coherence regions, negative coherence gradients (ΔC), …

Ml-Based Pre-Transaction Nfc Application Prediction, Ahmad Rahmati, Roshan Pius, Amol Tuli

Defensive Publications Series

This disclosure describes a system and method for predicting a user's intended Near Field Communication (NFC) use case before a complete NFC transaction occurs. Unlike existing reactive NFC systems that rely on Application ID (AID) acquisition during a transaction, this system leverages machine learning (ML) models trained with diverse contextual data to anticipate the AID and further disambiguate between multiple use cases or applications for the same AID. This pre-transaction prediction enhances user experience and efficiency by reducing friction, saving time, reducing risk of accidental payments, and enabling seamless and intuitive NFC interactions, such as automatically presenting the correct pass …

Gated Multi-Source Forcing For Auto-Regressive Sequence Generation, Victor Carbune, Florian Hartmann

Defensive Publications Series

In decentralized machine learning environments, a local model's auto-regressive sequence generation may have performance limitations compared to a larger, centralized model, as it could lack a mechanism to leverage external knowledge during inference. A gated, multi-source forcing mechanism can dynamically evaluate a local model's uncertainty during the generation process, for example, by calculating prediction entropy. If uncertainty exceeds a configurable threshold, a token may be retrieved from an external teacher source, such as a remote centralized model or an on-device data corpus. This retrieved token can then be injected into the local model's decoding stream to guide its subsequent generation. …

A System And Method For Validating Payee Identity In Unified Payments Interface (Upi) Based Payment Transactions, Alok Roy

Defensive Publications Series

The present disclosure relates to a system and method for validating payee identity in unified payments interface (UPI) based payment transactions. The method prevents misrouted payments in a digital payment environment, specifically addresses risks associated with mobile number reassignment. The system includes a mobile number re-authentication module designed to detect re-linking of mobile numbers to new accounts and an identity-change ledger that records historical mappings of mobile numbers to account holder identities. The method initiates by receiving a mobile number entry from a payor, performing a validation step that cross-references the entered number against the identity-change ledger, and generating a …

Tone Mapping Using Negative Values To Represent Luminance Below Reference Black, Yannis Guyon, Nathan Gauër

Defensive Publications Series

High Dynamic Range (HDR) tone mapping traditionally extends brightness above a reference white value but uses a fixed floor of zero for black, which maps to a display's minimum luminance setting. This limits creative control over shadow detail by content creators, e.g., the ability to choose blacks deeper than those for which legacy content was mastered or to choose to keep content at a reference black regardless of a display's minimum luminance setting. This disclosure describes a method for extending the HDR tone-mapping range to include negative values, allowing for greater flexibility in tone mapping shadows. In this approach, the …

Far-End Media Effect Configurations To Avoid Unconscious Hallucinations And Other Far-End Processing Issues, Jieyu Tan, Soya Li, Espen Berger, Wallice Wang

Defensive Publications Series

In video conferencing scenarios, when a user makes a media (video) call, a video/sharing/audio preview viewed on the sender's side may not be what is actually presented on the receiver's side. For example, some post-processing modules (e.g., super-resolution, flicker detection, voice correction, etc.) that operate on the receiver's side can bias the sender's media effects. Techniques are proposed herein that provide for embedding post-processing configuration metadata into a media stream package by a media sender's device. Using the proposed techniques, a media sender can pre-rehearse a meeting and/or perform an in-meeting preview and customize their media stream to avoid hallucinations …

Framework For Process-Aware Cyber-Physical Security Monitoring, Detection, Triage, And Response, Moath Sakaji

Defensive Publications Series

This disclosure describes techniques of process-aware cyber-physical security in an operational technology (OT) environment. Time-series process data is ingested from a secure replica of a process historian and IT security data. A cyber-physical context engine (CPCE) includes a library of machine learning models each trained for a specific operational state. The CPCE analyzes the process data to detect physical anomalies. Physical anomalies are correlated with IT security data to identify cyber-physical attack patterns. An incident response module enforces a safety-gated, collaborative workflow between security analysts and plant operators, prioritizing physical process stability. A generative AI-assisted workflow enables human analysts to …

Ai-Based Digital Concierge For Complex Financial Queries, Ankit Aggarwal, Jose Estevez, Chin Powit Rungsangthiwakorn, Samreen Dhillon

Defensive Publications Series

Maximizing savings, e.g., by choosing an appropriate form of payment, voucher/offer, merchant, etc. is difficult due to the need to analyze a large amount of information to determine the best combination when making a purchase. This disclosure describes a digital payment concierge that can answer complex financial queries. The concierge is implemented using an agent-based framework. To understand user intent, an orchestration agent is implemented using a suitable artificial intelligence model and a custom prompt. The orchestration agent routes tasks to specialized subagents, such as a savings maximizer which finds the best price by stacking offers and considering the user's …

System And Method For Automatically Selecting Context-Aware Llms Using A Reward-Based Multi-Objective Learning Mechanism, Sumit Kumar, Shivam Mohan, Ravi Shanker Kumar Sinha, Dheeraj Dhamija, Soumendra Kumar Mishra

Defensive Publications Series

The present disclosure provides a method and a system for automatically selecting context-aware large language models (LLMs) using a reward-based multi-objective learning mechanism. The method includes receiving an input task and extracting a corresponding context vector comprising one or more contextual attributes. The method includes computing, for each of a plurality of LLMs, a confidence-adjusted expected performance score using the context vector, the score being generated using a contextual learning algorithm. The method includes selecting at least one of the plurality of LLMs having the highest confidence-adjusted expected reward for the input task. The method includes executing the selected LLMs …

Dynamic Generation Of Contextual User Interface Controls From Content Analysis, Sönke Rohde, Alan Ross, Carsten Hinz

Defensive Publications Series

User interfaces for content generation and manipulation can be limited by static controls or ambiguous inputs that may not provide precise, context-specific tools. The disclosed technology relates to a system that can programmatically generate adaptive user interface (UI) controls based on content analysis. This system can analyze a corpus, such as an image or document, to perform semantic inference and derive manipulable properties. These properties can be mapped to declarative UI definitions for controls, such as sliders or dropdown menus, which can be rendered by a host application. This process can provide a user with context-aware controls tailored to specific …

Reconstructing Missed Photographic Moments Within A Spatiotemporal Event Cluster, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

Group photos captured at events such as birthdays, weddings, holidays, etc. may sometimes leave out important individuals, rendering the memory of the event incomplete. This disclosure describes techniques that utilize generative artificial intelligence to reconstruct missed moments within a set of photos taken during a particular event by leveraging the collective context of the photos within the photo set. A multi-state artificial intelligence (AI) pipeline is implemented that includes missed moment identification using event analysis; asset and scene reconstruction; context-aware reconstruction; and generative rendering. The techniques shift the paradigm of digital photo albums from organizing photos to helping users obtain …

Llm-Based Automatic Generation Of Contextually Appropriate User Interface, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

Currently, the user interface (UI) for digital photo management applications is a static, reverse chronological grid of thumbnails. From a user perspective, this UI has several drawbacks such as high interaction cost for retrieval, lack of contextual adaptation, and higher task friction. This disclosure describes a generative situational UI engine for media management applications. The engine is powered by an integrated large language model that is capable of automatic user interface generation. This engine replaces the static, one-size-fits-all grid with a dynamic interface that, with the user’s permission, is generated based on the user’s context and the content of their …

Automated Spatial Localization Of Iot Devices Via Visual Detection And Network-Initiated Feedback, Michael Christopher Yu

Defensive Publications Series

Manually registering the spatial positions of numerous Internet of Things (IoT) devices within an Extended Reality (XR) environment is a cumbersome process for users. This lack of automated spatial mapping limits the ability to perform context-aware interactions with these devices. The disclosed method addresses this by using an XR device’s vision and depth sensors to first detect a potential IoT device and estimate its 3D position. The XR device then sends a network-based request to candidate devices, instructing them to provide a confirmation signal, such as illuminating an LED. When the XR device’s camera detects this signal, the device's identity …

Distributed 48 V Energy Nodes (D48en), Hieu Nguyen

Defensive Publications Series

This document introduces the Distributed 48 V Energy Node (D48EN) architecture, a modular approach to home and community-scale energy storage and power distribution. Unlike conventional DC microgrids that rely on a continuous shared bus, this architecture places independent 48 V battery nodes throughout a structure, each with its own point-of-load photovoltaic (PV) input and short-run DC distribution to nearby loads. Nodes are normally isolated electrically and do not form a high-power backbone. Instead, low-current redistribution links allow controlled, schedulable energy sharing between nodes. This configuration reduces wiring cost, improves safety, simplifies retrofits, and enables modular growth for both developed residential …

User-Customized Application Settings Using Customized Application Environments, Alexander Haubold, Clément Julliard

Defensive Publications Series

Software applications on user devices can be launched only in their default state or in a single user-configured state. This requires users to change the application state for individual use cases each time they launch an application. For example, a camera application may have multiple modes such as default, portrait, panorama, video, etc. and the user needs to switch from the default mode to other modes before using the application. This disclosure describes application containerization techniques that enable users to launch an application in any of a set of custom initial states associated with separate custom-labeled icons. Users can thus …

Satellite Service Provisioning Via Premium Pass Purchase, Thomas Nguyen, Sooraj Sasindran

Defensive Publications Series

This document describes techniques for selective satellite service provisioning. Users can opt for satellite services based on their specific requirements by purchasing a satellite service premium pass via advance purchase or on-demand purchase. Advance purchase happens when the mobile device is connected to the internet. The device is registered, and the satellite network acts as a roaming network. On-demand purchase is available when the device is out of cellular or Wi-Fi range and a non-terrestrial network (NTN) is found. Temporary satellite data is provided for completing payment during on-demand purchase. The service is suspended if the pass limits are exceeded …

Context-Aware Standby State And Context-Aware Boot With Low-Cost Hardware, Subrata Banik, Noga Smith

Defensive Publications Series

Avoiding latency in booting or waking a device requires keeping it on and connected at all times, resulting in poor battery life, frequent recharging, limited mobility because of the need for a connection, and higher costs. Sensor-based functionality for automatically triggering device start or wake by sensing human presence requires expensive sensors, does not identify specific users, generates many false positives, and lacks uniformity across devices. This disclosure describes implementation of a context-aware standby state and context-aware boot process with low-cost hardware integrated within a device. A device in the shutdown or suspended state can be switched to the context-aware …

Motion Gesture And Near-Field Communication Field Detection For Initiating Wearable Payments, Malcolm Kemeny, Sergio Alves, Michael Angermann, Andrew Chen, Annie Tran, Brian Julian

Defensive Publications Series

Some methods for making payments with a wearable computing device, such as a smart watch, can involve manual steps like waking the device and opening a payment application, which may introduce latency into the transaction process. The disclosed technology provides an approach for initiating payments by using sensor data to detect an indication of a user's intent to pay. For example, a system can analyze data from a sensor, such as an accelerometer, to detect a predefined motion gesture. The detection of this gesture, in combination with the contemporaneous presence of a near-field communication (NFC) field from a payment terminal, …

Unified Speech Encoding And Streaming Key-Value Caching For Efficient Speech Llm-Based Meeting Intelligence, Gregoire Magendie, Erwan Zerhouni

Defensive Publications Series

Proposed herein is a unified, graphics processing unit (GPU) -efficient architecture for real-time and post-meeting speech intelligence that simultaneously handles transcription, translation, summarization, and action-item extraction without redundant computation. By tightly coupling a shared audio encoder, streaming multimodal caching, blank frame skipping, and persistent storage, the system drastically reduces latency and cost, enabling scalable, low-latency meeting analysis across multiple tasks, even for long-form audio sessions.

Conversational Agent For Orchestrating Physical Fulfillment Of Generative Ai Outputs, Lance Nanek

Defensive Publications Series

The creation of digital assets using generative machine learning models can be disconnected from the process of producing a corresponding physical object, potentially involving manual file transfers between separate platforms. The systems and methods describe a conversational agent that can orchestrate a digital-to-physical fulfillment pipeline. This agent can parse user dialogue to distinguish between creative prompts for generating a digital asset and commands for its physical production. Upon receiving a fulfillment request, an orchestration engine can analyze the asset to select a suitable fabrication method and a production partner, which may include third-party vendors or a user’s local hardware. This …

Optical Dynamic Hybrid Disaggregation System Using Micro-Led, N/A

Defensive Publications Series

The present disclosure is directed to a flexible and resilient architecture for computer systems, focusing on optical hybrid disaggregation to manage heterogeneous computing resources. An approach utilizes overprovisioned optical connectivity, specifically leveraging high-density micro-LED technology, to establish a high-bandwidth, peer-to-peer communication fabric between modular units. By integrating silicon switching intelligence directly into the modular units, the approach can bypass the latency and contention issues associated with centralized fabrics. A dynamic software control plane may be utilized to manage a distributed network, enabling rapid reconfiguration to optimize the compute-to-memory ratio for specific workloads, thereby enhancing fungibility, improving power efficiency, and reducing …

System And Method For Dynamic Memory Optimization And Secure Auxiliary Partitioning On Emv Chip Cards”, Ananya Verma, Raouf Khan

Defensive Publications Series

The present disclosure provides a method and a system for dynamic memory optimization and secure auxiliary partitioning on the EMV chip cards. The method includes detecting EMV card memory conditions and identifying low-entropy EMV data regions eligible for compression. The method includes performing memory compression and defragmentation to free space for auxiliary data storage while preserving EMV application integrity. The method includes allocating a Secure Auxiliary Partition (SAP) using recovered memory and enforcing access-restricted memory mapping. The method includes generating a context-bound cryptographic key for encrypting auxiliary records based on transaction metadata or service identifiers. The method includes writing encrypted …