Digital Commons Network^™

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 …

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 …

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 …

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 …

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 …

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 …

A Method For Multi-Modal Tensor Distillation And Non-Perturbative Phase Retrieval Inside Decentralized Anamorphic Substrates, Christopher L. Eckes

Defensive Publications Series

When decentralized edge agents implement Continuous Online Local Plasticity via an Anamorphic Memory Lattice (AML), the local elastic weight layer (\(\Phi _{t}\)) experiences rapid structural saturation under high-velocity multi-modal data streams. This saturation triggers localized impedance mismatches, where the model can no longer distinguish between environmental noise and high-fidelity operational tool telemetry, degrading the system back into an chaotic, ungrounded state.

This paper introduces a standalone technical method for Multi-Modal Tensor Distillation and Non-Perturbative Phase Retrieval inside decentralized anamorphic substrates. By implementing a phase-locked spatial-harmonic filter directly over the elastic parameter layer, this framework allows the model to continuously compress …

A Method For Algorithmic Entropy Mitigation And Context Window Equilibrium In High-Dimensional Transformer Architectures, Christopher L. Eckes

Defensive Publications Series

High-dimensional Autoregressive Transformer architectures scale linearly or quadratically in computational, thermodynamic, and financial overhead relative to context window saturation. In continuous multi-turn token processing, models suffer from "Prompt Gravity"—a compounding mathematical distortion of the Softmax attention matrix driven by localized token accumulation. This distortion shifts in-context token weights, resulting in structural degradation, diminished operational return on investment (ROI), and severe "sandbox sycophancy" where factual grounding collapses into localized linguistic coherence.

This paper introduces a decentralized, low-entropy architecture designed to decouple structural grounding from active token processing. By utilizing localized, high-entropy open-weight nodes (e.g., legacy Llama architectures) to simulate an offline, …

A Channel-Agnostic, Phase-Gated Checkpoint Architecture Coordinating An Autonomous Multi-Agent Content Pipeline Across A Stateful Conversational Interface And A Stateless Asynchronous Interface, Vipul Panday, Manjulika Bajpai

Defensive Publications Series

This disclosure documents the architecture of a production system that delivers a multi-step, AI-agent-driven content-production workflow to end users through two fundamentally different interaction surfaces at once: a real-time, stateful conversational interface (a chat bot, which inherently remembers where a conversation left off) and a fully stateless, asynchronous interface (individual links delivered by email, each a fresh, session-less HTTP request with no memory of any prior interaction). The system is architected so that a single, centrally persisted phase field is the sole source of truth for where a given user's in-flight workflow currently stands, with the chat interface consuming that …

System And Method For Ai-Generation And Personalized Music Playback In Social Venue Environments, Eric Zavesky, Miguel A. De La Lama

Defensive Publications Series

A system and method for generating and playing personalized music in a venue setting from multi-modal patron input. The system comprises a multi-modal input interface that accepts musical preferences, narrative text, voice, visual content, and social media links through QR-code-accessed mobile web, kiosk, and voice channels, fusing said inputs into a unified generation request. An AI music generation engine employs a progressive generation pipeline that begins generating preliminary musical content during input collection and refines iteratively as additional input arrives, producing complete songs with lyrics, melody, arrangement, and production. A venue audio integration module queues and plays generated songs through …

Zero-Shot Widget Configuration Via Natural Language Query, Ant Oztaskent, François Deschênes

Defensive Publications Series

Setting up a helpful tool on a phone or computer screen, like a live tile or weather display, usually takes too many steps. This publication describes a new, automated system that lets a user simply type or speak what they want, such as “weather in London,” and the device handles the rest. By acting as a smart broker (e.g., a multi-tier routing system), the system automatically finds the right application, places a live widget, glanceable, or dynamic home screen applet on the screen, and sets up the widget perfectly without any extra tapping from the user. If a matching application …

Hierarchical Context Caching Using Data Segmentation And Predictive Aggregation, Sarita A. Joshi, Leo J. Gustas, Blane C. Clark

Defensive Publications Series

Standard context caching for large language models can be inefficient in workflows with large, multi-part contexts, such as clinical documentation, where streaming data can invalidate static records and individual records may not meet caching thresholds. A computer-implemented system and method for optimizing context caching are described. The system may utilize a hierarchical structure that segments input context into static, semi-static, and dynamic layers based on update frequency. The system may also proactively aggregate historical records from multiple patients into a single cache prefix to meet service provider token minimums. This approach of hierarchical segmentation and predictive aggregation can reduce cache …

Warpage Control Of Printed Circuit Boards For Large-Scale Package Assembly Using A Localized Stiffener, N/A

Defensive Publications Series

The technology described in this paper relates to an approach for mitigating the issue of thermal warpage mismatch between high-performance processor packages and system boards by mechanically coupling a localized stiffener structure to a printed circuit board near the mounting area of a large-scale package. By selecting materials with tailored coefficients of thermal expansion, the localized stiffener actively influences the board's thermal warpage profile during solder reflow, forcing it to conform to the warpage shape of the package. This approach significantly reduces assembly defects, such as non-wet opens and bridging, particularly across massive ball grid array footprints. The disclosed technology …

Risk Manager Predictive Fraud Futures, Gayathri U, Sitaram Panigrahi

Defensive Publications Series

The present disclosure relates to a system and method for predicting merchant-level fraud spikes in payment transaction networks using Temporal Graph Neural Networks (TGNN). The present disclosure suggests receiving historical payment transaction data associated with a plurality of transactions. The present disclosure also suggests generating, from the historical payment transaction data, a plurality of heterogeneous transaction graphs representing transaction relationships across one or more time intervals. Node feature representations and edge feature representations are generated for the heterogeneous transaction graphs based on the transaction data. Subsequently, the present disclosure suggests determining node-specific temporal context information using transaction timestamps associated with …

User Authorization Of Ai Generated Code Based On Pre-Execution Telemetry, Timo Hoyer

Defensive Publications Series

Generative artificial intelligence (genAI) technology enables users to specify natural language commands and obtain executable code and/or database queries as AI output. While such code can help users accomplish goals quickly, in enterprise computing environments, it can introduce operational issues/vulnerabilities, waste computational resources, lead to platform failures, and/or administrative friction. This disclosure describes a pre-execution orchestration architecture and dynamic user interface for user authorization of code prior to execution. A user can use genAI to generate code. Prior to execution, such code (executable code, database queries, or infrastructural commands) is subjected to analysis to generate pre-execution telemetry that includes factors …

System For Orchestrating Multi-Modal Generative Pipelines For State-Consistent Interactive Environments, Parnika Singhal, Chirag Saini, Nilanjana Thakur

Defensive Publications Series

Generative systems for dynamic interactive environments may face technical challenges related to maintaining logical consistency and narrative coherence, sometimes referred to as state drift. A computer-implemented system, such as a server or cloud computing platform, can utilize an orchestration layer to coordinate multiple specialized generative pipelines, for example, for narrative, visuals, and audio. A technique can involve constraining a generative language model to output a structured data object that separates a persistent world state vector from an ephemeral narrative payload. The persistent state vector can be reinjected into the model on subsequent turns to help maintain long-term coherence, while metadata …

Hybrid Reaction Bridge, Hp Inc

Defensive Publications Series

Hybrid meeting platforms give remote attendees structured side-channel mechanisms—virtual hand raises, emoji reactions, poll responses—that are entirely absent for in-room participants, whose non-verbal behaviour remains visible only inside the physical room. This paper describes a bridging system that observes in-room participants through a shared room camera, detects a defined vocabulary of natural non-verbal signals (nodding, head-shaking, raised hands, and postural cues), and translates each qualified signal into a corresponding structured reaction event within the conferencing platform’s existing reaction model. The result is a unified reaction channel in which in-room and remote participants are represented with equivalent expressive bandwidth, without requiring …

Intent-Aware Human Motion Interpretation, Hp Inc

Defensive Publications Series

The central challenge of camera-based gesture input in video meetings is distinguishing deliberate interaction gestures from the natural hand motion that accompanies speech. This paper describes a system that meets that challenge through an intent classification engine evaluating kinematic, temporal, postural, spatial, and speech-aligned features over sliding temporal windows. Qualified gestures pass to a gesture-to-structure transformation pipeline that produces clean, labelled diagram elements—not freeform ink—and renders them as first-class shared content within the conferencing platform, visible to all participants in real time, without requiring specialised hardware.

Interaction Claim Standard, Brian Harber

Defensive Publications Series

Independently implemented systems increasingly produce, exchange, and interpret claims about AI interactions: what participated, which interaction the supporting evidence concerns, and how far an assertion reaches. Where no shared requirements govern these claims, agreement on their meaning across implementations remains incidental rather than normative—each implementation may interpret the same assertion differently.   This document defines the Interaction Claim Standard, a standard for expressing and interpreting claims about AI interactions across independently implemented systems. It standardizes four normative objects: claim semantics, interaction-specific evidentiary binding, claim boundaries, and normative interpretation requirements. Together, these establish cross-implementation agreement on the meaning of claims, their evidentiary …

Integrated Clamp Interface For Joining Mjf Additively Manufactured Components To Non‑Mjf Structural Members, Hp Inc

Defensive Publications Series

This disclosure describes an integrated fastening architecture that enables direct attachment of Multi Jet Fusion (MJF) additively manufactured components to structural elements manufactured from other materials. The solution uses a clamp geometry incorporated into the MJF component, a guided fastening mechanism, and controlled mating faces. The design enables rapid assembly, repeatable retention performance, and non-permanent attachment while minimizing additional hardware. Unlike adhesive bonding, interference fits, or external clamps, the approach separates assembly torque requirements from retention-force generation, improving manufacturing robustness and reducing sensitivity to torque variation. Figure 1a, Figure 1b, and Figure 2 illustrate representative fastening concepts and the screw-held …

Rubber Foot Speaker, Hp Inc

Defensive Publications Series

This disclosure proposed on repositioning the speaker from internal (inside the chassis) to the external surface. The design incorporates the use of rubber foot with speaker into a single component.  The intention of this idea is to reduce the impact of vibration from the speakers and eliminating the rattling issue when installed internally. The idea also promotes sound quality, flexibility and cost reduction.

Intent-Driven Orchestration For Enterprise Cyber-Physical Systems: Bridging Probabilistic Planning And Deterministic Actuation, Hp Inc

Defensive Publications Series

This disclosure describes an intent-driven orchestration architecture for enterprise cyber-physical systems that bridges generative, probabilistic, or agentic planning and deterministic device actuation. A non-executing, domain-aware planner converts high-level intent into a candidate graph of typed, idempotent Atomic Tool calls, but does not invoke tools or control devices. A deterministic orchestrator executes only graphs that pass four deterministic validation gates covering schema, governance, semantic correctness, and Device Twin-based simulation. Device Twins provide cached state for deterministic simulation, guard evaluation, binding resolution, and observability, but are not consumed by the Planner and are not authoritative for write-path success. Atomic Tools perform semantic …

Dynamic Exponent-Mantissa Repurposing For Adaptive Microscaling (Demr-Am) Architecture, N/A

Defensive Publications Series

This publication details a hardware architecture and data processing methodology for dynamic exponent and mantissa repurposing, tailored to facilitate adaptive microscaling within machine learning accelerators. The described methodology addresses the quantization errors and memory bandwidth constraints that frequently emerge during the deployment of large-scale artificial intelligence models. By dynamically repurposing redundant exponent bits into additional mantissa bits specifically for outlier values within a given tensor block, the system dramatically enhances numerical precision without expanding the core memory footprint of the data block. A dedicated hardware decoder can be positioned immediately prior to a dot-product engine to re-route electrical signals and …

Agentic Knowledge Graph Engine With Continuous Evolution And Hybrid Semantic-Structural Embeddings For Intelligent Data Extraction, Knowledge Creation, And Retrieval, Hp Inc

Defensive Publications Series

An Agentic Knowledge Graph Engine (AKGE) is disclosed that provides a complete, continuously evolving knowledge lifecycle managed by a multi-agent autonomous architecture. The system comprises a data extraction layer receiving heterogeneous input sources, a schema-enforced knowledge graph storage layer with native temporal versioning and audit lineage, a hybrid embedding module fusing semantic, structural, contextual, and schema-constrained representations into dynamically updated entity embeddings, a continuous evolution engine responding to event triggers including query failure, embedding drift, conflict detection, and new data arrival, and a hybrid retrieval engine combining multi-hop graph traversal with approximate nearest-neighbor vector search. A specialized multi-agent ensemble — …

System And Method For Structured Queue Folder Management Of Print Jobs, Hp Inc

Defensive Publications Series

This disclosure presents a system and method for managing print queues as a persistent, hierarchical structure of folders, subfolders, and job records within production printing environments. Unlike conventional flat-list queue models, the disclosed approach preserves semantic relationships among related print jobs throughout the entire execution lifecycle, enabling group-level operations—such as print, pause, resume, cancel, and prioritize—to be applied coherently to collections of jobs without requiring individual job manipulation.

A central queue manager maintains a hierarchical model composed of folder nodes, subfolder nodes, and job nodes, each carrying metadata such as priority, state, sequencing policy, media requirements, and device constraints. A …

Token-Efficient Verification For Self-Improving Root-Cause-Analysis Agents, Necati Cehreli

Defensive Publications Series

Proposed herein is a system that chooses how much testing is needed for an improvement to an artificial intelligence (AI) root cause analysis (RCA) agent before the system trusts the improvement. Small, local changes can receive quick replay first, while broad or risky changes require a full rerun or multi-case batch testing. One result of the proposed approach is a safer and less costly self-improvement loop through which a system can spend additional testing effort when the change warrants such testing.