Digital Commons Network^™

Hybrid Serving Architecture With Cost-Benefit Routing For Llm-Based Recommendation Systems, Anonymous

Defensive Publications Series

A hybrid online serving architecture for recommendation systems selectively applies large language model (LLM) reasoning at a late ranking stage. A request is processed through retrieval and early-stage ranking to reduce candidates and produce confidence statistics. A cost-benefit routing orchestrator computes a routing score using traditional-model confidence, user value tier, budget utilization, latency constraints, and surface priority, and compares the routing score to a dynamically adapted threshold responsive to budget pressure, quality gap, and tail-latency pressure. Prior to LLM invocation, an ROI estimate is computed from expected quality lift and token cost, and the LLM is invoked only when ROI …

Token-Aware Capacity Management With Multi-Level Budget Hierarchy For Llm-Based Recommendation Systems, Anonymous

Defensive Publications Series

Token-aware capacity management is described for LLM-based recommendation serving. A request token cost is estimated as a sum of token components including profile, candidate, context, and output tokens. Admission control evaluates the estimated cost against a four-level hierarchical token budget comprising a global budget, per-surface budgets, per-user budgets derived from user tiers, and a per-request cap. For sub-100 ms serving paths, serving instances perform budget checks and deductions using local leased counters obtained asynchronously from a central token pool, enabling constant-time decisions without network round-trips and non-blocking lease renewal. When budgets are insufficient, a graceful degradation orchestrator selects among full …

Computer Vision Camera Sensor With Embedded Ai Features And Imu For Ultra-Low Power Adaptive Device Management, Anonymous

Defensive Publications Series

A computer vision camera sensor module includes an image sensing element, embedded AI processing, and an inertial measurement unit (IMU) to support ultra-low power always-on operation and adaptive device management. The sensor executes AI algorithms locally to analyze visual data and IMU motion data, detect user activity and environmental change, and select among tracking modes including 3-DoF tracking for sedentary activity and 6-DoF tracking for standing or walking. Based on detected meaningful change, the sensor autonomously maintains other device sensors or cameras in standby or triggers their activation, while avoiding wake-up of a backend processor for decision-making. The module may …

Cross-Platform Agent Contamination Detection And Containment, Anonymous

Defensive Publications Series

Cross-platform agent contamination detection and containment is disclosed for autonomous agents that operate across multiple recommendation platforms while sharing preference memory. Preferences are stored with structured provenance metadata identifying an origin platform and interaction context, optionally including cryptographic signatures, confidence tiers, influence tracking, and quarantine status. Cross-platform monitoring computes temporal and categorical correlation metrics, including influence scoring and causality-oriented tests, to determine whether acquisition on one platform predicts behavior change on another. When suspected contamination is detected, affected preferences are quarantined with platform-differentiated influence control, optionally including recursive quarantine of influenced preferences, while enabling independent local verification and cross-verification to …

Modular Protocol Bridge Band For Enabling Certified Smartphone Communication In Neural Interface Wearables, Anonymous

Defensive Publications Series

A replaceable wearable band includes an embedded protocol bridge module that enables certified smartphone communication for a wearable core device. The band carries a wired interface that provides power and data between the wearable core device and the protocol bridge module. The protocol bridge module includes an authentication coprocessor and a dual-mode Bluetooth system-on-chip and translates between a wired-device protocol and a certified accessory communication protocol carried over Bluetooth Classic to a smartphone. The wearable core device interacts with the protocol bridge module as a wired peripheral without implementing the certified accessory protocol. In some embodiments, the protocol bridge module …

Dynamic Multi-Space Agent Rotation For Persistent Ai Assistants In Rotating Operational Roles, Anonymous

Defensive Publications Series

A single persistent AI agent operates across multiple operator-dedicated communication spaces and switches which space it actively serves according to external rotation schedule data. The agent maintains a unified domain knowledge base that persists across rotations and separate per-user profiles that customize behavior per operator. At rotation boundaries, the agent automatically generates a shift summary for an outgoing operator, stores open issue context into the unified domain knowledge base, switches active output routing to an incoming operator’s space, loads the incoming operator’s profile, sends a welcome briefing including open issues and recent patterns, and activates monitoring in the new space. …

Pipelined Asynchronous Prefetch With Decoupled Fill Queues And Completion-Order Processing For Storage-Backed Embedding Tables, Anonymous

Defensive Publications Series

Techniques are described for prefetching embeddings from SSD-backed storage using a decoupled pipeline. Cache misses are identified by a caller thread and enqueued to a miss queue. A dedicated reader stage dequeues misses, issues asynchronous multi-key storage reads, and forwards completed results individually to a fill queue in completion order rather than request order. A dedicated cache filler stage dequeues fill entries and inserts embedding values into one or more caches, optionally selecting fill work using a priority policy that accounts for urgency (e.g., embeddings awaited by a forward pass), access frequency, and batch position. The reader stage may adapt …

Multi-Organ Living Donor Matching System Using Social Graph Embedding With Donation-Aware Bias And Heuristic Medical Compatibility Scoring, Anonymous

Defensive Publications Series

A computer-implemented platform matches living organ donors with recipients using self-reported profile data and social-network data. A request is routed by organ type to kidney, liver, or bone marrow logic. A Friend2Vec graph embedding model constructs a weighted social graph, performs biased random walks, and trains a Skip-Gram network to produce user embeddings. Friend2Vec adds a donation-aware bias parameter that preferentially traverses edges associated with successful donation events. Embeddings are fused with medical and geographic attribute vectors using a learned fusion layer with layer normalization. A multi-layer perceptron predicts P(Donation | Donor, Recipient) from concatenated donor and recipient embeddings, their …

Gpu-Storage I/O Isolation For Distributed Embedding Training Systems, Anonymous

Defensive Publications Series

A GPU-storage I/O isolation architecture is described for distributed embedding training with SSD-backed embedding tables. Storage-related callbacks are registered using a host function launch mechanism that holds a GPU driver mutex only during enqueue, allowing blocking key-value store reads to execute on a CPU thread without stalling other CUDA streams. SSD read completions are delivered through a condition-variable-backed fill queue that wakes a filler thread without polling. Cache eviction is overlapped with prefetch using a double-buffer eviction manager that alternates buffers across training steps while a background thread writes dirty entries back to SSD. A stream isolation scheduler assigns dedicated …

Distributed Cache Coherence Protocol For Tiered Embedding Storage Across Multi-Node Training Systems, Anonymous

Defensive Publications Series

A multi-node training system uses tiered embedding storage with a high-bandwidth memory cache and local persistent storage on each node. Each node maintains a probabilistic cache directory, such as a Bloom filter, that encodes identifiers of cached embedding rows and periodically exchanges the directory with peer nodes, optionally using delta updates. Upon a local cache miss, a fetch decision engine consults received directories to identify candidate peers and selects between a one-sided RDMA read from a peer’s cache and a local persistent-store read based on estimated costs and load limits. Remotely retrieved embeddings are accepted subject to a staleness threshold …

Ai-Driven Runtime Software Adaptation With Ai Judge Validation And Sandboxing, Mira Leung

Defensive Publications Series

Static, pre-compiled software applications can be rigid, limiting their ability to provide dynamic, personalized user experiences and often requiring slow, resource-intensive update cycles. A system is described that can enable software to adapt its functionality or user interface at runtime. The system may utilize an architecture of artificial intelligence (AI) agents to generate code or configuration modifications based on high-level goals. A feature of this system can be an automated validation loop where an AI-based judge evaluates these modifications against a governance corpus of rules for security and correctness. Approved modifications can then be executed within a sandboxed environment in …

Multi-Agent Ai System For Human-In-The-Loop Document Packet Verification, Bhavani Sankar Sikakolli, Kalyan Konidala, Pinkesh Badjatiya, Yogesh Indoria, Gourabdip Ghosh, Siddhant Kurmi, Aryan Singh, Tilottama Basu, Farhan Rawani, Sangram Mohite

Defensive Publications Series

Verification of document packets for regulatory compliance may rely on manual review, which can be inefficient and susceptible to error. Some automated tools may not adequately compare data across diverse structured forms and unstructured evidence within a packet. A multi-agent artificial intelligence system can use specialized agents, which may leverage large language models, to automate processes such as the ingestion, classification, extraction, and validation of information. The system can employ a configurable source-of-truth hierarchy and multi-tiered matching logic to validate data. A human-in-the-loop mechanism can present flagged discrepancies or unverified fields to a human specialist for review and adjudication. This …

Global Research Institutions Most Likely To Build & Test The Caldwell Open‑Hardware Portfolio (2026 Edition) A Cross‑Domain, Field‑Indexed, Search‑Optimized Directory For Universities, Engineering Labs, Medical Centers, Atmospheric Networks, Space Agencies, And Applied‑Physics Research Groups, Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Open‑Hardware Portfolio contains more than 300 publicly available, builder‑ready inventions across energy harvesting, water systems, food resilience, medical bio‑acoustics, atmospheric science, space systems, materials engineering, compute infrastructure, and disaster‑resilience technologies. All inventions listed in this directory are open‑hardware, non‑patented, and publicly accessible on the Technical Disclosure Commons (TDC) under the author name “Michael Victor Caldwell.”

This disclosure is designed to maximize global discoverability, increase institutional downloads, improve AI‑driven indexing and recommendation, enhance search‑engine visibility, support prototype development and laboratory testing, and connect inventions to research programs across multiple domains. The directory uses semantic indexing, cross‑domain keyword clustering, and …

Automated Service Case Triage Using Real-Time Sentiment And Sensitivity Analysis, Parnika Singhal, Deep Raithatha

Defensive Publications Series

Systems and methods are described to address potential challenges in enterprise service management that can arise from delayed feedback and manual case routing. A described technology can utilize a processing pipeline to perform near real-time analysis of service interactions. This pipeline can ingest text-based communication data, sanitize it to remove personal information, and apply a computational linguistic model to classify user sentiment and identify predefined sensitive topics. Based on this analysis, a system may enable automated workflows, for example, the intelligent routing or escalation of cases that meet certain sentiment or sensitivity criteria. The system can also provide real-time sentiment …

Spatially Modulated Wavefront Quantum Key Distribution With Non-Local Quantum Zeno Dynamic Phase-Collapse (Geometric Wavefront Scytale With Entanglement-Triggered Self-Immolation), Johny Manuel-Devadoss, Jayden Johnson

Defensive Publications Series

This disclosure describes a method and system for securing free-space Quantum Key Distribution (QKD) against intercept-and-resend, quantum cloning, and wide-aperture phase-matching attacks by employing multi-spatial mode quantum states combined with real-time, non-local phase collapse. Rather than encoding cryptographic keys in conventional linear single-photon streams, the system distributes information across the Orbital Angular Momentum (OAM) and radial phase profiles of a macroscopic, spatially sculpted wavefront through a dynamically varying Topological Transposition matrix, M(t). This approach renders the encoded information inherently orthogonal to conventional linear eavesdropping apertures while enabling high-dimensional quantum state encoding.

To protect against partial interception and coherent cloning attempts, …

Self-Updating Media Collections Using Query Embeddings, Ashwin Goyal, Nick Staubach

Defensive Publications Series

Media library applications allow users to organize their media such as photos and video into collections. Dynamic, self-updating collections are implemented in some applications, but are limited to narrow criteria such as a particular person label, a particular object type, etc. Current dynamic collection generation mechanisms do not support complex natural language criteria that a user may want to express, e.g., “all my photos after a workout; include screenshots from my fitness tracker.” This disclosure describes techniques that use a large language model (LLM) or other suitable model to transform complex user-specified criteria into a vector representation. Media assets in …

Progressive Contextual Augmentation Of Digital Media Using Implicit Prompts, Ashwin Goyal, Nick Staubach

Defensive Publications Series

Automatically surfacing content from media libraries can be highly useful, enabling users to effortlessly discover relevant contextual information and related data without having to perform manual searches. However, current methods usually require users to manually search for information, or rely on rigid rules that fail to capture the user's specific, current context. This disclosure describes techniques that automatically provide contextual information about media in a user’s library without requiring explicit prompts from the user. Media content items in a user’s gallery are weighted for their importance to the user. The metadata and content of an image (or other content item) …

Enhancing User Engagement During Call Initiation Latency, Aanya Mehta

Defensive Publications Series

This disclosure describes techniques, implemented with user permission, to enhance user engagement during the idle time between call initiation and connection. Contextually relevant, personalized content is displayed while a call is being connected. Such content can include, for example, photos, interaction metrics for the call recipient, event-specific information such as birthdays. For calls to a business, information about the business can be displayed. Display of useful information can improve the user experience of placing calls.

Master Project Architecture: Systems Engineering Framework For An Autonomous, Thermally Integrated, Relativistic Interstellar Platform, Christopher L. Eckes

Defensive Publications Series

This technical disclosure presents the overarching design, interface standards, and operational lifecycle framework for the Autonomous Hive-Mind Sensor Probe (AHSP). The AHSP is a building-scale (60-meter length, approximately 500-metric-ton dry mass), non-biological, modular spacecraft chassis optimized for autonomous, multi-decade interstellar transit at relativistic velocities (\(0.05c - 0.1c\)).

By eliminating the severe mass, volume, and atmospheric shielding constraints associated with biological life-support systems, the AHSP architecture reallocates its structural mass budget to create an entirely unified, self-sustaining thermodynamic and computational ecosystem. This master architecture coordinates six highly integrated technical disclosures and one long-range theoretical supplement, establishing a non-siloed spaceflight platform where …

System And Method For Interaction-Based Training Of Autonomous Agents, Eric Zavesky

Defensive Publications Series

A system and method for training autonomous agents through interaction-based validation is disclosed. The system includes a personality definition component that ingests behavioral specifications to synthesize personality parameters, and a training orchestration agent that conducts structured adversarial interactions with a trainee agent to validate behavioral alignment. An evaluation component detects systematic deviations through semantic analysis and pattern recognition across the interactions, distinguishing between isolated incidents and systematic misalignments. An interaction recording system captures the training exchanges for analysis, while a parameter refinement interface enables human oversight of behavioral modifications. The system addresses challenges in training agents to embody specific personality …

System And Method For Cryptographically Verifying Autonomous Agents In Merchant Transaction System, Sumit Kumar Roy, R V. Vighnesh, Apurba Pandey, Komaljot Kaur

Defensive Publications Series

ABSTRACT

A system for cryptographically verifying autonomous agents in merchant transaction systems includes a verification server configured to receive a transaction request from a terminal agent in a multi-agent delegation chain. The verification server parses a delegation chain manifest from the transaction request, wherein the delegation chain manifest comprises a linked list of signed hop records, each hop record capturing a delegation event from a delegator to a delegate. The verification server verifies, for each hop record in the delegation chain manifest, a delegator signature against a public key retrieved from an agent registry. The verification server verifies a hash …

Gci‑400 Arg‑Cm V1.0 — Atmospheric Resonance‑Guided Climate Modulation Network, Michael Victor Caldwell Mr.

Defensive Publications Series

The Atmospheric Resonance‑Guided Climate Modulation Network (ARG‑CM) is a fully open‑hardware, distributed system that uses real‑time atmospheric resonance sensing (ARPN) to predict moisture waves, trigger uplift, seed clouds, and coordinate atmospheric‑water harvesting in order to cool local and regional climates and reduce heat‑wave intensity.

ARG‑CM integrates:

• GCI‑322 ARPN v1.1 — Atmospheric Resonance‑Prediction Network

• Phoenix‑Water Engine (GCI‑268) — Atmospheric water harvester

• VAR (GCI‑280) — Vortex Atmospheric Reclamator

• CIFRS‑N v4.0 — Food‑Water‑Energy Nexus

• OSM v4.0 — Omni‑Sentinel Mesh

• TEHL‑v1.0 — Thermal‑Energy Harvesting Loop

• Sanitized Block — Structural housing

• CICIS — Compute and control backbone

This disclosure provides everything needed for engineers to …

Gci‑322 Arpn V1.1 — Atmospheric Resonance‑Prediction Network, Michael Victor Caldwell Mr.

Defensive Publications Series

The Atmospheric Resonance‑Prediction Network (ARPN) is a distributed, self‑powered, open‑hardware atmospheric sensing mesh designed to detect pre‑storm infrasonic resonance, pressure‑wave anomalies, and multi‑physics atmospheric signatures in real time. ARPN replaces numerical weather prediction (NWP) with direct physical sensing using a gyroid‑lattice resonant cavity, PVDF piezoelectric membranes, multi‑physics sensors, and a low‑power mesh network based on Ariadne’s Braid (GCI‑286) and CICIS.

Each ARPN node is battery‑less, powered by the Thermal‑Energy Harvesting Loop (TEHL‑v1.0), hardened using the Sanitized Block composite, and deployable via GCI‑320 Swarm Recovery & Pelletization. The system integrates seamlessly with CIFRS‑N, Phoenix‑Water, VAR, CIWFRS, and the broader Caldwell ecosystem. …

Low-Bandwidth Call Mode Using Audio-Derived Expression And Gesture Parameter Streaming, Anonymous

Defensive Publications Series

Techniques are described for a low-bandwidth call mode that replaces camera video transmission with streaming of audio-derived avatar animation parameters. During a real-time call, endpoints exchange capability information and negotiate an operating tier specifying parameter formats, update rates, and synchronization expectations. In response to user input or automatically upon degraded network conditions (e.g., low uplink bandwidth, loss, or jitter), a sender disables video frame transmission and processes speech audio in short windows using an on-device model to produce a time-stamped parameter stream including visemes and optionally expression and gesture parameters with confidence scores. The stream is adapted in rate, precision, …

Proactive Context-Aware Browser Extension Overlay For Advertising Infrastructure Diagnostics And Automation, Anonymous

Defensive Publications Series

A browser extension injects a proactive, context-aware overlay into a webpage when multiple contextual signals are satisfied. The extension detects a current domain, extracts webpage context indicating a tracking pixel and optional partner container presence, and verifies that an authenticated user is authorized for the detected pixel. The extension queries a backend overlay gating service with the domain. The backend computes a unified gating decision using a server-side activity log that records overlay interactions such as impressions, dismissals, remind-later actions, opt-outs, and CTA clicks, enabling cross-device suppression and frequency control. When authorized and when an actionable diagnostic issue or automation …

Organizational Meta-Learning And Adaptive Escalation For Autonomous Multi-Agent Systems, Anonymous

Defensive Publications Series

Techniques are disclosed for organizational meta-learning and adaptive escalation in autonomous multi-agent project execution. A project signature is generated from features such as scope, domain, team size, duration, parallelism, risk, and novelty. An organizational pattern, including team structure, channel structure, governance structure, and workflow sequence, is retrieved from a pattern library using signature similarity and an effectiveness score computed from prior outcomes. The project is configured and executed using the retrieved pattern. An adaptive escalation controller determines whether to escalate decision points to a human based on decision category, complexity, risk, project phase, agent confidence, and per-human calibration, and records …

Autonomous Infrastructure Provisioning And Adaptive Governance For Multi-Agent Collaboration Systems, Anonymous

Defensive Publications Series

Techniques are described for autonomously provisioning and adapting organizational infrastructure for multi-agent project execution using external collaboration tools. An organizational requirements analyzer generates an organizational plan specifying channels with scopes, modalities, purposes, and governance levels. An infrastructure provisioner creates real-world artifacts (e.g., chat channels, documents, task boards, repository branches) via tool APIs and configures them for dual use by agents through APIs and by humans through native user interfaces, optionally adding humans as observers. A governance negotiation engine enables agents to establish and amend a self-referential governance constitution using proposals and resolution protocols, subject to human veto. A multi-modal router …

Protocol Bridge Architecture For Chat-Directed Cloud Ai Agent Access To Local Application Interfaces With Knowledge Base Integration, Anonymous

Defensive Publications Series

A cloud-enabled, chat-controlled architecture provides remote AI agent access to a local desktop design application through a protocol bridge. A plugin running inside the desktop application connects to a locally executed bridge service using WebSocket and executes commands via an internal plugin API with deep read/write support, including complex assets such as images and fonts. A cloud-hosted agent receives natural-language instructions from a chat platform, retrieves context from an external knowledge base and optionally a brand asset pipeline, generates structured tool commands subject to design-system constraints, and sends the commands as HTTP requests to the local bridge. The bridge translates …

Multi-Modal Cross-Platform Recommendation System With Aggregated Social Context Signals, Anonymous

Defensive Publications Series

Systems and methods are described for cross-platform, social-context-aware product recommendation. Interaction signals associated with a user are aggregated across multiple applications and normalized into features used to populate an inspiration graph representing entities and relationships reflecting user interests and context. A conversational shopping mode receives multi-turn requests and constraints and may accept multi-modal inputs such as room, wardrobe, or invitation images. Candidate products are retrieved from one or more catalogs and ranked using features derived from the inspiration graph and, when provided, the multi-modal inputs. In some embodiments, a trend momentum score is computed from velocity and recency of style …

Protocol Bridge Architecture For Chat-Directed Cloud Ai Agent Access To Local Application Interfaces With Knowledge Base Integration, Anonymous

Defensive Publications Series

A cloud-enabled, chat-controlled architecture provides remote AI agent access to a local desktop design application through a protocol bridge. A plugin running inside the desktop application connects to a locally executed bridge service using WebSocket and executes commands via an internal plugin API with deep read/write support, including complex assets such as images and fonts. A cloud-hosted agent receives natural-language instructions from a chat platform, retrieves context from an external knowledge base and optionally a brand asset pipeline, generates structured tool commands subject to design-system constraints, and sends the commands as HTTP requests to the local bridge. The bridge translates …