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The PHYRFLY Opus: A Unified Standard for Hyperdimensional Time Vectors, Spectrally Isolated Coordination, Neural Hierarchies, and Distributed Proprioception
This monograph establishes 264 prior art claims for a decentralized, connectionless timing and positioning architecture comprising the UTLP, RFIP, and SMSP protocol triad. It formalizes the PHYRFLY nomenclature to distinguish low-level, hardware-scheduled Physical-Layer synchronization primitives from higher-level application orchestration. The core novelty centers on a Vector Time Representation, encoding temporal state as 8 phase values (ticks modulo coprime integers 211–251) transmitted in 8 bytes, then expanded locally into ~10,000-dimensional hyperdimensional chord vectors for similarity computation and drift estimation. This cyclic encoding enables automatic phase-lock convergence within 5–10 beacon exchanges regardless of initial offset, with the Chinese Remainder Theorem guaranteeing unique tick recovery across a 261,000-year horizon. A complementary Spectral Isolation Model maps transport-agnostic architecture to biological firefly wavelength differentiation, enabling swarm-level isolation through physics (e.g., 802.11 vs. 802.15.4) rather than protocol-layer logic—independent swarms occupying the same physical space remain blind to one another at the RF front-end. Key technical advancements established as prior art include:
Hyperdimensional Phase Encoding: Basis vectors derived from prime-indexed dimensions enable cosine similarity metrics for graceful synchronization degradation, Kalman filtering for sub-tick drift estimation, and Byzantine fault detection through cross-phase consistency analysis. An optional fine-resolution segment concatenates 4 smaller primes (~4,000 additional dimensions) for nanosecond precision. Phase-Indexed Score Execution (SMSP): Coordinated actuation patterns compiled from human-readable timing specifications into phase-space representations; synchronized devices independently derive identical outputs by evaluating current phases against compiled scores—no start now signal or runtime coordination required. The Neural Hierarchy (Neuron → Ganglion → Plexus → Cortex): A hierarchical orchestration model that separates flat, peer-to-peer timing infrastructure from application-layer data aggregation and command distribution. Regional Stability Digests (Ganglion Privacy): A method for masking individual node technosignatures by aggregating raw vitals into anonymous regional summaries, providing physical-layer privacy while maintaining global sensor utility. Council of Oracles: A multi-oracle time consensus mechanism where nodes with external time sources (GPS/NTP) peer-review each other to identify and demote deviant God nodes. Dormancy Lifecycle with Phantom Arbor Defense: A protocol for secure swarm re-entry after sleep, utilizing N-beacon verification and temporary authority penalties to prevent synchronization hijacking. Metabolic Stealth: A defensive behavior for sparse clusters that automatically reduces broadcast frequency to minimize RF footprint when solitary.
This document provides physics foundations, mathematical proofs of convergence properties, and reference implementations across heterogeneous silicon (ESP32-C6, MG24, nRF52840), establishing these methods as a Public Utility to preclude the patent enclosure of distributed beamforming, autonomous swarm coordination, bilateral therapeutic stimulation, emergency vehicle lighting synchronization, and continental-scale geophysical sensing
REPLAY TIME BASED CLEANUP CACHE
The present disclosure relates to the field of data processing, in particular to a time-based cleanup cache for optimizing deduplication in transaction processing systems. The cache organizes deduplication entries based on transaction dates and maintains only a minimal composite key required for unique identification, thereby improving both memory utilization and operational efficiency. The cache employs a deterministic cleanup process, wherein expired entries are automatically removed at predefined intervals, ensuring consistent performance and scalability under varying traffic conditions. Further, the cache is integrated into existing statestore workflows for replay validation and includes configurable capacity constraints, thereby enhancing service reliability, reducing infrastructure costs, and supporting complex data operations. The design provides predictable performance and resource savings over conventional cache strategies, particularly in mission-critical event processing environments
Acoustic Watermarking for Cross-Device Workflow Facilitation
Facilitating user actions between a media playback device and a separate personal device (e.g., a smartphone, smart watch, or wearable device) can present challenges. For example, methods that rely on shared user accounts may be less suitable for public or shared displays, while others, such as those using visual codes, can involve user actions that might interrupt a passive viewing experience. A data payload, such as a product identifier, can be embedded as an acoustic watermark into an audio signal broadcast from a source device. A separate receiving device can use its microphone to passively detect and decode this watermark from the ambient environment. Upon decoding the data payload, the receiving device can initiate a corresponding workflow, such as retrieving product information. This approach can facilitate a cross-device workflow by transferring context from a media consumption environment to a personal transactional device, potentially without depending on shared user accounts
“Process for preparation of crystalline tafamidis”
The present invention relates to a process for the preparation of crystalline tafamidis
Dynamic AI Agent Orchestration for NL-to-SQL Query Generation
Reliably generating accurate structured query language (SQL) queries from natural language (NL) inputs is a difficult task due to challenges such as schema ambiguity, uncertainty regarding table relationships, complex business logic makes, etc. LLM-based solutions are often unable to operate reliably within complex, real-world enterprise environments with complex datasets. This disclosure describes the use of agentic artificial intelligence (AI) for NL-to-SQL query transformations. A semantic data layer leverages a three-tiered model - attributes, entities and cubes. Attributes define dimensions within a table, entities represent a logical view of data, and cubes act as business objects that abstract the complexity of identifying a source of truth and model domain-specific datasets. An agentic workflow with an orchestration agent and sub-agents dedicated to individual data cubes is used. A predefined cube configuration is passed to a large language model (LLM) to enable accurate identification of relevant data entities and consistent application of business logic. The namespace of the semantic model is extended to capture agentic guardrails with predefined metadata or prompts, and to control agent behavior and scope, providing context-sensitive information while actively preventing LLM hallucination
USING INDOOR LOCATION AS PROOF OF HUMANITY
Proposed herein are techniques that facilitate using indoor location as evidence for proof of humanity. For example, movement patterns of a device can be correlated with the movement patterns of humans to provide evidence that the device belongs to a human. This information can be utilized in conjunction with other proofs of humanity such as biometrics to ascertain humanity before granting access to resources
Technical-Industrial Feasibility Report — HCI-V1 System (Ionospheric Coherence Harmonizer)
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). It discloses 170 enabling technical contributions (systems, methods, devices, materials, QA, cybersecurity, data products, operational protocols, and business-grade mechanisms) to improve GNSS/GPS and 6G reliability via ionospheric phase synchronization, ELF/VLF counter-phase cancellation, multi-modal sensing and AI tomography, exposure compliance, industrialization, and certification of high EM-fidelity zones.Original Zenodo url: https://zenodo.org/records/1811830
Automated System for Real-Time Display Failure Detection During Mechanical Stress Testing
Mechanical reliability testing of electronic displays may be limited by manual inspection methods. A system is described that synchronizes mechanical stress application with real-time optical analysis. An optical sensor, such as a camera, can monitor a display under load while a computing device (e.g., a server, personal computer, or smartphone) executes an algorithm to detect visual changes indicative of failure. Upon detecting a change that meets pre-configured criteria, for example a threshold for pixel brightness change, the system can generate and transmit a stop signal to the mechanical testing apparatus. This automated, closed-loop approach may reduce latency and subjectivity, allowing for force data to be recorded closer to the moment of initial damage and potentially providing a more repeatable method for characterizing display durability
Ratcheting Hinge with User-Actuated Lock for Temple Arm Declination
Wearable electronic devices (e.g., smart glasses, augmented reality headsets, etc.) rigid frames may not accommodate diverse head geometries, as a fixed temple arm declination angle can lead to discomfort, instability, and optical misalignment. This disclosure describes a user-actuated hinge assembly for adjusting the declination angle of a temple arm. The assembly may comprise a pair of intermeshing geared components, one coupled to the device\u27s main frame and the other to the temple arm. A user-operable, spring-biased clamping element can engage one of the geared components to lock the angular position. Actuating a control can disengage the clamp, permitting rotational adjustment with tactile feedback from the ratcheting gears. The mechanism can provide discrete, lockable angular positions, which may facilitate a stable and customized fit for a wider range of users and improve the alignment of integrated optical systems
System And Method For Scalable Query Sampling for Large and Imbalanced Data
The present disclosure provides a method and a system for scalable query sampling for large and imbalanced data. The method comprises determining the feature families in the data where each family of the features consists of correlated features. The method further comprises determining importance scores for the features in the data to filter the features that contribute significantly to the analysis of the agent system. Further, the method comprises determining the deviation effect scores for all the features of the corresponding queries and aggregating the deviation effect scores for the queries to determine a selection value. The sample of queries are determined based on the selection value