Digital Commons Network^™

Governed Per-Tenant Knowledge Store For Ai-Assisted Security Incident Analysis, With Adversarial Verification And Customer Dispute Veto, Alpenshield Gmbh

Defensive Publications Series

A multi-tenant security operations platform maintains, for each customer tenant, a store of discrete environment facts that are compiled into a briefing consumed by an AI analysis pipeline for every security incident. Facts carry provenance classes, lifecycle states, evidence counters, validity windows, and stable natural keys. Facts learned automatically from closed incidents pass a two-stage verification: an adversarial language-model pass checks that every concrete identifier in a candidate fact appears verbatim in the incidents it cites, and a deterministic set check validates the citations themselves. Failing candidates carry a machine-readable quarantine annotation naming each unsupported identifier. Activation requires a minimum …

Gpu Ray Tracing And Di!Erentiable Multi-Physics Innovations, 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) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). Description: defensive publication covering enabling inventions around GPU/RT-core ray tracing, differentiable simulation, experimental validation, interoperability (standards), operational security, sustainability, and cross-domain applications (RF/LiDAR/IR/acoustics/seismology/climate/nuclear/biophotonics/medical), …

Model-Agnostic Search-Augmented Llm Pipelines For Production-Scale Company Data Validation, Enrichment And Normalization, Hp Inc

Defensive Publications Series

This paper presents a vendor-agnostic, search-augmented large language model (LLM) pipeline that validates, enriches, and normalizes company records using grounded information from public web sources. The pipeline addresses enterprise requirements for official names, addresses, tax identifiers, revenue, industry classifications, and related compliance metadata where manual validation, database lookups, and rule-based integration pipelines struggle with incomplete, inconsistent, multilingual, and region-specific inputs. The architecture uses a central control framework to orchestrate native-search and tool-calling web-enabled LLM providers under production constraints, including context limits, tokens-per-minute (TPM), requests-per-minute (RPM), maximum batch size, concurrency, incomplete outputs, safety filtering, and provider-specific response formats. It combines batch-admission …

Resource-Constrained Multiprocessing Packet Pipeline With Shared Configurable Elements, N/A, N/A

Defensive Publications Series

A subsystem for network packet processing uses a pool of shared, configurable processing resources. The architecture includes these shared processing elements, a centralized event processing engine, and a partitionable shared memory. The event processing engine accumulates events from the packet pipeline and forwards them as tasks to the processing elements. These elements, which may be implemented as microcode sequencers, execute writable microcode firmware to perform logical and arithmetic operations and handle interrupts independently of a central processing unit. The processing elements access the shared memory to exchange state and packet data between processing stages. This approach improves resource utilization and …

Method And Apparatus For Reducing Semiconductor Package Warpage During Reflow, N/A, N/A

Defensive Publications Series

The technology generally relates to controlling package warpage during reflow soldering using a temporary support structure. The structure, composed of a glass carrier and a high-coefficient of thermal expansion balance film, is applied to the top surface of a package substrate before the reflow process. As temperature increases during reflow, the high-coefficient of thermal expansion balance film expands or shrinks, inducing a controlled downward deformation that acts as a counter-stress. This action balances the internal stresses that cause package warpage, maintaining a flat profile throughout the reflow cycle. The flat package profile facilitates accurate alignment and bonding of its ball …

Automated Clock Domain Crossing Maximum Delay Constraint Application Using Intermediate Anchor Gates, N/A, N/A

Defensive Publications Series

The technology manages clock domain crossing paths by applying a maximum delay constraint to a designated intermediate anchor gate instead of the final destination flip-flop. The register-transfer level configuration instantiates a specific logic gate, such as a MASK AND gate, as this anchor point and assigns it a standardized name. During compilation, a software script automatically discovers these anchors by name and applies a localized, point-to-point delay constraint directly to the pins of the anchors. This pin-to-pin anchoring decouples the timing constraint from the final sampling logic. This approach results in greater placement flexibility for the destination logic across the …

Neuromorphic Soft Swarm Robotics, 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) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). It discloses enabling systems and methods combining soft actuation (HASEL/EAP), event-based vision (DVS), neuromorphic computing (SNN), and swarm intelligence, covering devices/sensors, closed-loop control, …

Memory-Based Lock-Free Inter-Process Communication, Vlad Popa, Andy Hung, Atneya Nair, Mikhail Naganov, Shunkai Yao, Eric Laurent, Jean-Michel Trivi

Defensive Publications Series

A lock-free inter-process communication (IPC) system can utilize shared memory to broadcast system events from a single writer process to multiple reader processes. The system employs a shared memory circular queue and an atomic sequence counter that increments before and after write operations, allowing readers to determine if an active write is occurring. By calculating an active queue index using the sequence counter, reader processes can safely access previously committed historical state data without blocking or busy-waiting. This non-blocking architecture prevents IPC message queue overflows for frozen or suspended background applications, eliminates priority inversion, and avoids the thundering herd problem …

Adaptive Control Of A Media Environment Using Synchronized Physiological Data, Rohit Jain

Defensive Publications Series

Media environments can operate without awareness of a user's physiological state, and some integration methods may be limited by factors such as high-latency cloud processing or simplistic control actions. A system is described that can establish a low-latency communication channel between one or more wearable devices, such as a smart watch or fitness tracker, and a media playback system, for example, a smart television or streaming device. With appropriate user consent, physiological data, such as heart rate variability and electrodermal activity, can be transmitted from the wearable device and processed locally on the media system. Based on this real-time analysis, …

Context-Aware Personalization, Kate Strudwick, Zoe Schladow

Defensive Publications Series

This disclosure describes an automated process for transparent algorithmic profiling and data shaping that allows an individual to actively curate environmental and physiological data to dynamically guide and personalize machine learning models. By moving beyond rigid history logs or binary input structures, the techniques of the disclosure enable a traceable, user-directed taste profile that maps real-world context onto digital preferences and actively seeds future recommendation behaviors to counteract algorithmic flattening. The disclosed system helps Artificial Intelligence (AI) models, including foundation models, generative AI models, and/or large language models (LLMs), capture and interpret multifaceted human data streams to accurately personalize user …

Semantic Graph Reconciliation Using Functional Fingerprinting, Rishabh Singhal, Vijai Kalyan

Defensive Publications Series

Comparing versions of graph-based workflows can present challenges, as methods relying on volatile identifiers may interpret a node rename as separate deletion and addition operations, while other structural comparison techniques can be computationally expensive. Systems and methods are described for semantic comparison using a multi-pass reconciliation algorithm that employs functional fingerprinting. This process can involve generating a content-based hash value for each node after programmatically excluding non-semantic data, such as unique identifiers and graphical coordinates. By comparing these fingerprints, a system can identify nodes that were renamed. This approach can facilitate a linear-time semantic reconciliation of workflow graphs, providing a …

The Dynamic Schema Generation With Error-Triggered Renegotiation For Agent-Tool Binding, Nicolas Zimmermann, Isaac Leimgruber

Defensive Publications Series

Some methods for binding autonomous agents to external tools can rely on static interface schemas, which may be inefficient, for example, by consuming large context windows, and can be brittle to changes in a tool's application programming interface. A system is described where an agent can transmit a semantic intent describing a desired task outcome. In response, one or more tool providers can dynamically generate a minimal, task-specific interface specification tailored to that intent. The system can also feature an error-triggered renegotiation mechanism, allowing an agent to report an execution failure, which prompts the provider to generate and resubmit a …

System-Level Generation Of Dynamic Information Overlays For Media Content, Harsh Rajotiya, Dev Daftari

Defensive Publications Series

Accessing supplemental information while viewing digital media may involve disengaging from the primary content to use separate applications or devices. This document describes a system level framework for generating dynamic informational overlays that can operate independently of specific media applications. The system may utilize a generative artificial intelligence model to interpret user queries, such as voice commands, and orchestrate the retrieval of data from multiple sources. The model can then dynamically design and specify a custom graphical user interface element, such as a chart or table, which can be rendered as an overlay on a main viewing screen (e.g., a …

Identify User Navigation Patterns And Digital Experience Deficiencies Using Probabilistic Sequence Modeling And Llm-Driven Synthetic Personas, Hp Inc

Defensive Publications Series

Understanding how users navigate complex digital platforms is essential for improving conversion, usability, and overall experience. Raw clickstream data generated by web platforms is highly granular, sparse, and noisy, which makes direct URL-level analysis unreliable and computationally unstable. In addition, traditional analytics approaches rely on aggregate metrics or predefined funnels that fail to capture sequential dependencies and heterogeneous user intent. This disclosure describes a method for identifying navigation inefficiencies, behavioral drop-off patterns, and experience deficiencies by combining probabilistic modeling of user navigation sequences with AI-driven synthetic personas. The method models user sessions as discrete-time Markov processes over a reduced semantic …

Evidence-Based Guidance System For Data Science Teams Using Generative Ai Under Uncertainty, Kristoffer Ahlstrom-Vij

Defensive Publications Series

A method for implementing evidence-based guidance for a data science team using generative artificial intelligence under uncertainty is provided. The method includes reviewing existing evidence on generative AI in knowledge work, including empirical literature on productivity effects, cognition and skill formation, and human factors research on automation complacency and cognitive offloading. The method includes evaluating the existing evidence across parallel considerations and deriving a plurality of principles from the existing evidence. The principles include an accountability principle stating that accountability for work cannot be self-certified, an aggregation principle directing to read more but not think less, a writing reservation principle …

Generative Synthesis Of Context-Aware Media Recaps And Alternative Narratives, Dev Daftari, Akash Verma

Defensive Publications Series

Systems and methods can use generative artificial intelligence to synthesize personalized media content. For example, when a user returns to a series, a system can generate a dynamic recap designed to be spoiler-free based on a user's last-viewed point, for instance, by retrieving relevant plot information from a media knowledge graph. The technology could also generate alternative narrative scenes based on user prompts, for example, by using system guardrails to promote stylistic consistency with the source material. These techniques may provide personalized user interactions, potentially improving viewer re-engagement with serialized content and extending interaction with media franchises within a media …

A Generative System For Real-Time Audio Dubbing With Voice And Emotion Transfer, Dev Daftari, Harsh Rajotiya

Defensive Publications Series

Systems and methods are disclosed for real-time media localization that may address potential scalability and fidelity limitations of some conventional approaches. A technical solution may involve a multimodal generative pipeline, which can be implemented on a hybrid edge-cloud architecture. For example, a system can separate dialogue from background audio on a client device (e.g., a smartphone, smart television, personal computer, wearable device, or augmented reality glasses). The isolated dialogue may then be processed to transcribe speech to text and to extract paralinguistic features, such as vocal timbre and emotional tone. This information may be processed by a large language model …

Dynamically Generating Immersive Environments For Extended Reality From 2d Media, Dev Daftari, Akash Verma

Defensive Publications Series

Watching two-dimensional (2D) media in extended reality can involve static virtual environments that may not be contextually linked to the content being viewed, which can reduce immersion. Systems and techniques are described for dynamically generating a 360-degree virtual environment from a 2D media stream. A system may analyze a buffer of video frames using computer vision methods to extract scene context, including three-dimensional geometry and lighting information. This extracted data can then be used as a seed for a generative artificial intelligence model to perform spatial outpainting, extending the original 2D scene into a volumetric environment. This process can transform …

Natural Language Navigation Of Media Via Generative Ai And A Multimodal Index, Dev Daftari, Akash Verma

Defensive Publications Series

Finding specific moments in media can be challenging, as certain methods like timeline scrubbing or keyword searches may not align with a user's descriptive memory of a scene. A system can facilitate media navigation through natural language queries. For example, a system may create a time-stamped, multimodal index of a media asset by analyzing its visual, auditory, and textual content. When a user provides a descriptive query, a generative artificial intelligence model can semantically evaluate the request against the index to identify a corresponding media segment and its timecode. The system could then provide the timecode to a media player …

Cascaded Liability-To-Feedstock Resource Recovery Architectures: Geothermal-Desalination-Membrane-Mineral Stacks, Cryogenic Storage-Air Separation-Datacenter Cascades, And Parallel-Topology Hybrid Storage, Alexander Smith

Defensive Publications Series

Disclosed are cascaded resource-recovery architectures organized by a common design rule: each processing stage is sequenced so that the waste liability of the preceding stage becomes the feedstock of the following stage. Three families are disclosed in enabling detail.

(A) A geothermal-desalination-membrane-mineral stack in which geothermal heat drives power generation via an Organic Rankine Cycle, waste heat drives or preheats desalination, and desalination brine -- already filtered and cooled by the desalination pretreatment train -- supplies a pressure-retarded osmosis salinity-gradient power stage. Geothermal brine separately supplies mineral recovery including direct lithium extraction, silica, zinc, manganese, barium and strontium sulfate. The …

Visual Indicators For Voice Access Application Windows And User Interface Components, Katherine Nelle Dektar, Mariah Sigourney Moon, Qian Yan

Defensive Publications Series

This publication describes a new accessibility feature for devices like smartphones, tablets, and computers that makes hands-free navigation and voice control much easier to use. When a person uses spoken audio input or speech commands to operate their device while multiple windows are open, it can be confusing to know exactly which app or screen they are controlling. To solve this, the device automatically figures out which application windows are unoccluded by other application windows on the screen and draws a bright, colorful border (like an accessibility focus ring) around them. This primary visual indicator shows the user exactly where …

Extremophile-Inspired Biomimetics Potential Analysis, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3, GPT-5 Thinking, Gemini and Grok, 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) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). This defensive disclosure provides enabling embodiments that translate extremophile mechanisms (thermostability, cryo-activity, anhydrobiosis, halotolerance, radiotolerance, barophily) into materials, devices, processes, control algorithms, interoperable …

Handling Delayed Esim Transfer Via Sm-Ds Push Notification, Chen Xu, Jack Yu, Amruth Ramachandran

Defensive Publications Series

This publication describes an alternative framework for managing delayed embedded Subscriber Identity Module (eSIM) transfers on mobile devices that avoids needing a carrier’s Entitlement Configuration Server (ECS) to manage cloud messaging tokens. During a delayed transfer, a carrier’s Subscription Management Data Preparation (SM-DP+) server notifies a Subscription Management Discovery Service (SM-DS) server when an eSIM profile becomes available. The SM-DS server then triggers a cloud messaging push notification to the mobile device’s Local Profile Assistant (LPA). To ensure a seamless user experience the LPA hides the raw push notification from the user interface. Upon receiving this hidden push notification, the …

Iva‑Ecs‑Plus Max Exhaust Polishing & Conditioning Module, Michael Victor Caldwell Mr.

Defensive Publications Series

The IVA‑ECS‑PLUS MAX is an open‑hardware, bolt‑on exhaust‑polishing module designed to attach directly to the outlet of existing industrial pollution‑control systems—including baghouses, ESPs, cyclones, wet scrubbers, and marine exhaust scrubbers—to provide additional particulate reduction beyond what primary systems achieve. The system integrates a multi‑stage architecture consisting of a J‑groove pre‑swirl intake, dual‑band acoustic agglomeration chamber, CFD‑optimized vortex core with adjustable cone, high‑coverage wet scrubber array, multi‑stage demister (vane pack + mesh pad), and an optional polishing stage using either a mini‑electrostatic precipitator or ceramic microfilter. This combined sequence targets ultra‑fine particulate matter (PM2.5 and PM0.1), aerosols, droplets, and haze‑forming micro‑pollutants …

Zero-Enrollment Target Speaker Extraction, Zhi Li, Xuelin Huang

Defensive Publications Series

This disclosure describes a new framework for isolating a specific person's voice from background noise, often called Target Speaker Extraction (TSE), speech isolation, voice separation, audio unmixing, voice filtering,  target audio filtering, speaker segregation, acoustic filtering, vocal isolation, target voice retrieval, or speech decoupling for devices equipped with artificial intelligence. Traditional voice recognition systems require users to manually record their voice in a quiet room, which is frustrating and often fails to recognize natural changes in a person's voice like sickness or morning voice. Rather than requiring the user to perform this manual process, the new framework described herein enables …

System For Mitigating Electronic Pickpocketing In Contactless Payment Cards, Mahendra Yadav

Defensive Publications Series

The present disclosure provides hardware solutions for mitigating electronic pickpocketing in contactless payment cards. A smartcard includes an antenna shorting circuit placed across antenna terminals and driven by OR control logic so any proximity or pocket sensor can automatically short the antenna loop, and a series antenna clipping switch placed in the antenna feed and gated by AND control logic requiring deliberate dual pad touch to enable contactless operation. The designs use ultra-low-power capacitive touch sensors, RF-grade semiconductor switches or bilateral analog switches, and CMOS logic to preserve card form factor and contact functionality. The designs prioritize passive or energy …

Innovation Potentials To Scale Green Finance Globally, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking, Gemini 3 Reasoning and Grok, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) entering the prior art under EPC Art. 54(2), French IPC Art. L 611-11, 35 U.S.C. §102(a), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢) and Japanese Patent Act Art. 29(1) (闘旧避). It discloses 90 enabling embodiments (1–90) for verifiable green finance: real-time MRV and ZK oracles, programmable green bonds, IoT/satellite-triggered loans and parametric insurance, carbon and nature tokenization, digital twins, private portfolio optimisation, material provenance (cement, plastics, textiles, H2, batteries), biodiversity indices and …

The Challenges Of Romantic Relationships In Contemporary Societies, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3, GPT-5 Thinking and Grok, 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) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). This disclosure details technical systems, methods, and architectures spanning ethical matching, socio-ecological scoring, closed-loop UX, a!ective VR, safety/consent, intergenerational models, community optimization, data …

Feasibility Study And Market Analysis – Innovations For Compact Fusion Reactors (Arc, Sparc, St-E1), 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) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). It covers four compact-fusion bottlenecks (vapor-shielding thermal protection, active control of HTS REBCO magnets, irradiation-driven self-healing structural materials, and chiral tritium-breeding blankets) and …

Execution-Mode-Dependent Enforcement Of Version-Bound Consent For Delegated Recurring Automation, Alexander Bering

Defensive Publications Series

Disclosed is a species-level arrangement in which one participant's consent to run another participant's shared, versioned automation artefact is bound to the artefact version consented to, and in which the strength with which that binding is enforced depends on how the run was initiated. For machine-initiated recurring runs, the executing component re-checks the recorded version mark itself, unconditionally, before every run; a mismatch does not fail the individual run but moves the standing arrangement into a durable, named parked state in which it never fires again until a human acts. For human-initiated runs, the same mismatch is surfaced only against …