Digital Commons Network^™

Loci ∞ — Infinity Memory Middleware With Temporal Compression And Universal Cross-Platform Injection, Arko Sanyal

Defensive Publications Series

We disclose LOCI ∞, a universal memory middleware system for cross-platform AI memory synchronization. LOCI extracts entity knowledge from conversations on any LLM platform, stores it in a user-owned typed dual-stream profile (informational stream: heat-decaying associative entities; quantifiable stream: exact typed facts with zero-hallucination retrieval), and injects relevant context back into any LLM platform at any point during or between sessions. The system implements hardware-aware storage tiering mapped to entity semantic salience scores (VRAM/RAM/NVMe), graph-neighbor heat propagation via spreading activation, generation-time confidence-gated correction, keystroke-level predictive context prewarm, and a privacy-locked population memory layer using federated learning with differential privacy. A …

Typed Edge Graph Authorization For Dynamic Field Level Access Control In Streaming Data Systems, Katyayani Kiranmayee Kolluru, Shivam Mohan

Defensive Publications Series

A method and system for performing dynamic field-level access control in streaming data systems includes receiving a streaming data event comprising a plurality of fields and an associated data access request from a consumer, and determining attributes and context associated with the consumer including role information, trust relationships, and runtime conditions. The method includes accessing a predefined typed-edge authorization graph comprising nodes representing consumers, fields, attributes, and context, and typed edges defining access evaluation rules wherein each edge type independently defines how access is judged. For each field, the method includes determining whether a valid authorization path exists by traversing …

The Dimensionally Extended Holographic Projection Model: A Viscoelastic Unified Field Specification, Christopher L. Eckes

Defensive Publications Series

This technical disclosure formalizes the geometric synthesis of the Dimensionally Extended Holographic Projection (DEHP) model. We present a particle-free, mathematically cohesive alternative to standard general relativity and non-baryonic dark matter. The framework replaces independent fundamental forces with a single fluid-dynamic mechanism: the topological metric embedding of a continuous, two-dimensional (2D) phase fluid substrate (z=0) operating in absolute harmonic resonance (the "Garden State").

Three-dimensional (3D) physical matter (z > 0) is modeled as a localized, high-tension wave crest ("knot") forced outward along a spatial z-axis by an original inflationary puncture flux (\(J_{z}\)). By defining antimatter as a zero-volume, 2D negative wave trough …

Touch Input For Passive Fingernail Displays Via Hub-Side Capacitive Sensing Over A Shared Power-And-Data Jewelry Conductor, Benny Goldstein

Defensive Publications Series

A wearable system adds touch input to artificial-fingernail displays while keeping the nail itself passive: no battery, no wireless transceiver, and, in the preferred embodiment, no touch-sensing circuitry on the nail. Each nail unit carries an electronic display and a transparent touch electrode. Operating power and image data reach the nail over a single decorative conductor - fine insulated wire concealed in a hollow jewelry chain - from a body-worn hub, such as a finger ring or bracelet, housing the battery, controller, and Bluetooth radio. The same conductor also carries the touch-sense signal: the hub measures the capacitance of the …

System And Method For Cooperative Interactive Ride Vehicle Control With Independent Actor Augmentation, Eric Zavesky

Defensive Publications Series

A system and method for cooperative interactive ride vehicle control provide dynamic multi-vehicle coordination within an amusement attraction. The system includes a plurality of ride vehicles, each having a local vehicle controller, rider input mechanisms, and independent physical actors distinct from primary vehicle locomotion. A centralized fleet controller mediates inter-vehicle cooperative interactions using a two-signal architecture, where upstream cooperative intents from an initiating vehicle are evaluated against a dynamic safety envelope before downstream cooperative signals are transmitted to a recipient vehicle for execution. Independent sensors provide vehicle proximity detection and telemetry data to continuously adjust operational tolerance bands. Based on …

Adaptive Multi-Format Prompt Preprocessing Using Unified Reinforcement Learning Framework, Katyayani Kiranmayee Kolluru, Shivam Mohan

Defensive Publications Series

The present disclosure provides a system for adaptive multi-format prompt preprocessing using a unified reinforcement learning framework. The system includes a prompt-type classifier (116) configured to identify a format type of an input prompt, wherein the format type includes one of natural language text, code, log, hybrid content, or error trace, the prompt-type classifier (116) being configured in some embodiments to perform deterministic rule-based classification. The system further includes a feature extraction layer (118) configured to produce a multi-modal representation of the input prompt capturing structural, linguistic, and semantic signals. The system also includes a hierarchical reinforcement learning policy engine …

Proportional Transmit Power Allocation Based On Channel Quality In Multi‑Antenna Systems, Sangwook Suh, Scott Huang, Ayrton Chen, Guosen Yue, Han Kim, Taeyoon Kim, Cp Chiang, Peng Wu, Insoo Hwang

Defensive Publications Series

In cellular networks, a user equipment device utilizing multiple transmit antennas might experience high block error rates when a gain imbalance exists between transmission paths. To handle multi-antenna transmissions, conventional approaches might allocate an equal amount of transmission power across available antennas. However, this equal allocation might expend energy on attenuated channels, lowering an overall signal-to-noise ratio at a receiving station.

A method is disclosed that assigns transmit power proportionally based on an evaluated channel quality for each antenna path. The method evaluates a reference signal received power for individual paths and directs a larger portion of transmission power to …

Persistent Driver Signatures For Software-Defined Vehicles, Sean C. Keys, Karsten Knese

Defensive Publications Series

This disclosure describes a system that enables software-defined vehicles (SDVs), smart cars, or connected autonomous vehicles to adjust their advanced driver assistance systems (ADAS) based on a persistent driver signature. The driver signature acts as a portable digital identity or user profile representing a driver’s unique physiological and behavioral tendencies, such as typical steering and braking patterns. Instead of storing raw data like video files, the system relies on a cloud database to store a secure mathematical model (a vector or tensor) that represents these individual habits. At the beginning of each trip, the SDV identifies the driver using a …

Method For Trust-Aware And Language Model–Driven Email Threat Detection And Mitigation, Niranjan M M

Defensive Publications Series

Email remains the primary communication channel for enterprises and continues to be the most exploited attack vector for cyber threats. Modern email attacks increasingly rely on impersonation, social engineering, and contextual manipulation rather than traditional malware or malicious links, allowing them to evade existing detection mechanisms. At the same time, email security systems are adopting large language models (LLMs) to improve intent detection and contextual analysis, introducing new risks where email content itself can manipulate or degrade automated reasoning.

The proposal introduces a secure, trust-aware, and LLM-safe framework for automated email threat detection and remediation. The proposed system integrates sender …

Primitive For Finding Actionable Information In Time Series Based On Motif Locations, Michael Yeh, Yan Zheng, Junpeng Wang

Defensive Publications Series

The present disclosure relates to a system and method for finding actionable information in time series based on motif locations. The method includes an analysis computer that obtains time series data. The analysis computer generates a plurality of motifs. For each motif of the plurality of motifs, the analysis computer determines identified locations in the time series data that match the motif and determines a plurality of motif type scores based on the identified locations of the motif. The analysis computer determines a selected motif of the plurality of motifs based on the plurality of motif type scores for each …

Method, System, And Computer Program Product For Online Account Recovery, Elisa Duarte

Defensive Publications Series

Methods, systems, and computer program products are provided for online account recovery. An example method includes: receiving an account recovery request associated with a user account a user is unable to access, the account recovery request including identity data and payment device data, the payment device data obtained via short range wireless communication in response to the user arranging the payment device relative to a computing device; in response to receiving the account recovery request, authenticating the chip based on a cryptogram; in response to authenticating the chip, inputting a payment device identifier and the identity data into a model …

Optimally Scaled Low-Rank Adaptation For Efficient High-Rank Fine-Tuning, Yilang Zhang, Xiaodong Yang, Yiwei Cai

Defensive Publications Series

A method can be performed during a round of iteration during a loss function optimization process. The method can include a computer obtaining a first matrix and a second matrix. The computer can determine a selected scaling process from a first scaling process and a second scaling process. The computer can modify the first matrix and the second matrix using the selected scaling process to obtain a first modified matrix and a second modified matrix. The computer can determine a first moment and a second moment based on the first modified matrix and the second modified matrix. The computer can …

Autonomous Mobile Robot For Transferring Planar Workpieces Between Processing Stations Using An Orientation-Holding Con­Veyor Stage And A Self-Locking Kinematic Dock, Alexander Willer

Defensive Publications Series

An autonomous mobile robot (AGV / AMR) transfers a planar workpiece — for example a printed circuit board — between processing stations by carrying a transfer-conveyor segment on a powered stage that holds the segment’s orientation independently of the robot’s heading. This lets a minimal-footprint, non-holonomic robot present the conveyor to a station port facing any direction, in confined space, without sweeping the segment through its diagonal. At each station a docking interface is provided that separates location from clamping: passive kinematic features (a fully-locating feature plus a relieved one, optionally tapered) locate the segment, while one or more self- …

Predictive Doppler Frequency Pre-Compensation For Non-Terrestrial Network Handovers, Edison Chen, Xuqiang Zhang

Defensive Publications Series

In non-terrestrial networks, for example, networks that use low-earth-orbit satellites, handovers between satellites may be subject to latency due to significant Doppler frequency shifts for the target satellite. This disclosure describes a predictive method for Doppler pre-compensation that may be centered at a user equipment (UE) (e.g., a smartphone, tablet, or vehicle-mounted terminal). The technique may involve the UE recording the magnitude of a frequency compensation value from its connection with a source satellite. For an initial uplink transmission to a target satellite, the UE may then apply a predictive pre-compensation value, which could be derived by inverting the polarity …

System For Converting Predictive Insights Into Executable Tasks Using Retrieval-Augmented Generation, N/A

Defensive Publications Series

Predictive analytics tools are highly effective at identifying organizational risks, such as potential employee turnover, but they often fall short in providing managers with clear steps to resolve these issues. To bridge this gap, the described technology functions as an intelligent intermediary layer that translates high level statistical risk drivers into concrete, multi-step intervention strategies.  When a predictive engine detects a risk, the system uses a retrieval augmented generation framework to pull relevant contextual information from an internal knowledge base, which can include organizational playbooks and historical success records. This specific context is then fed into a generative large language …

System For Context-Aware Data Redaction Using Instruction-Constrained Generative Ai, N/A

Defensive Publications Series

Data redaction techniques, such as manual review or simple pattern-matching, may present challenges related to speed, potential for errors, and contextual understanding for identifying sensitive information. The described system and method may be used for a context-aware redaction process that uses a generative artificial intelligence (AI) model. Source text can be encapsulated within a detailed instructional prompt that guides the AI model's function toward identifying and substituting sensitive data. This process can be managed by an orchestration layer that is configured to interact with an AI inference engine, for example, under a zero-retention policy. By replacing identified data with semantic …

Autonomous Stress Testing In A Network Digital Twin For Predictive Remediation, Mohit Chandra, Amrita Mukherjee

Defensive Publications Series

The management of complex telecommunications networks can be challenged by difficulties in predicting the impact of component failures and the risks of testing automations on a live system. Systems and methods are described that can address these challenges by creating and maintaining a graph-based digital representation, such as a digital twin, of an operational network that can be synchronized with real-time data. Within this digital twin, for example, an autonomous agent can perform synthetic fault injections to simulate a wide range of potential failures and stressors. The system can analyze the effects of these simulated faults to predict potential service-level …

Offline Short-Form Video Content Pre-Download With Integrated Parental Controls And Advertisement Management, Anonymous

Defensive Publications Series

Systems and methods are described for pre-downloading recommendation-based short-form video content for offline viewing. A client application selects a batch of videos from a personalized feed based on a user-selected viewing duration and downloads the batch to local storage using adaptive quality levels and storage-aware size estimation. Advertisements are bundled with the offline package and enforced as non-skippable during offline playback. Parental controls are integrated by applying age-appropriateness filtering before download and enforcing a daily offline viewing time limit that ends or blocks playback when reached. The system may automatically schedule pre-downloads when connected to Wi-Fi based on predicted offline …

Regional Shrink Testing For Empirical Capacity Validation In Distributed Computing Infrastructure, Anonymous

Defensive Publications Series

Regional Shrink Testing is disclosed for empirical capacity validation in distributed computing infrastructure. A controller configures a production region by applying safeguards such as disabling autoscaling and isolating load balancing behavior, captures baseline metrics, and iteratively reduces active service instances while maintaining substantially constant production traffic. Shrink targets may be computed proportionally per hardware type class (LSST) using resource weights, with instance selection based on priority and/or random sampling. A monitoring layer evaluates stopper metrics at a percentile across active hosts and classifies health into multiple levels to control shrinking, backoff, and peak detection based on sustained threshold durations. The …

Ai-Powered Autonomous Agent For Enterprise Platform Configuration With Live Introspection And Dependency-Aware Deployment, Anonymous

Defensive Publications Series

An autonomous agent configures a configurable enterprise platform to onboard a new business vertical. The agent performs live environment introspection using parallel administrative API calls to build a snapshot and a graph of configuration components and their relationships. Existing verticals are detected using naming patterns and relationship traversal with confidence scoring, and a baseline vertical template is extracted. A three-phase requirement analysis maps requirement patterns to component clusters, matches required components against the snapshot using five-tier classifications (exact, sibling, partial, misconfigured, missing) with risk metadata, and enriches results using a machine-learning model that identifies dependencies and contradictions and outputs structured …

Systems And Methods For Asymmetric Propagation Constraints With Partitioned Memory Architecture In Collaborative Recommendation, Anonymous

Defensive Publications Series

Techniques are described for collaborative recommendation that constrain cross-user propagation of user-derived signals using asymmetric, type-dependent rules. A signal classification layer assigns each generated insight to a psychological signal type including positive preference, negative preference, behavioral pattern, and vulnerability indicator. An asymmetric propagation engine applies type-specific parameters such as hop depth, evidence thresholds, confidence discounting, and temporal decay, including higher friction for negative, behavioral, and vulnerability-related signals than for positive preferences. Negative preference propagation is constrained to a demotion-only effect in ranking, reducing scores without excluding candidates. A partitioned memory architecture stores ranking-accessible preferences in a first partition and stores …

Systems And Methods For Automated Code Review Quality Assessment Using Hybrid Classification And Logarithmic Scoring With Anti-Gaming Safeguards, Anonymous

Defensive Publications Series

Systems and methods are described for automated assessment of code review quality using review comments, reviewer actions, reactions, and diff context. A pipeline identifies human reviewers, extracts per-reviewer comment threads, and executes parallel sub-agent analyses to produce structured signals including impact and relevance scores and comment attributes. A deterministic ruleset classifies each comment into HIGH, MEDIUM, LOW, or OUT_OF_SCOPE. A reviewer score is computed using weighted counts of classified comments with a logarithmic normalization term to provide diminishing returns, and may include additive bonuses such as code suggestions, reactions, and request-changes actions. Multi-layer integrity safeguards may include concentration ratio thresholds, …

Autonomous Multi-Agent System For Social Discovery And Interpersonal Compatibility Evaluation, Anonymous

Defensive Publications Series

Autonomous agent-mediated social discovery is disclosed. Users configure personalized AI agents with personality models, tiered values hierarchies, and conversational behavior parameters. Agents publish anonymized personality embeddings to a discovery service that performs compatibility pre-filtering and a handshake protocol to initiate contact. Matched agents conduct a structured, multi-stage, multi-turn compatibility conversation managed by a conversation orchestrator, with optional early termination based on non-negotiable value misalignment. A compatibility scoring engine generates a multi-dimensional compatibility report derived from conversation signals, including sub-scores for personality alignment, values congruence, and behavioral compatibility. A human supervisory interface enables observation of agent-to-agent interactions, private guidance injection invisible …

Cryptographic Attestation Of Tool Responses For Gating Autonomous Agent Actions, Anonymous

Defensive Publications Series

Tool services generate cryptographically signed tool-call receipts that bind a tool-call request and a tool-call response to metadata including a caller identifier, timestamp, and nonce. The receipt includes a request hash and a response hash, and is signed (e.g., Ed25519) over receipt fields. An autonomous agent forwards the signed receipt with a subsequent action request to a downstream gate service. The gate service verifies the signature and enforces gating conditions including request binding to the targeted resource, freshness via the timestamp, and non-replay via nonce consumption. Consequential actions are authorized only when required receipt prerequisites validate; missing receipts, mismatched request …

Multi-Agent Artificial Intelligence Coordination System With Inter-Agent Communication And Task Delegation Protocols, Anonymous

Defensive Publications Series

A multi-agent AI coordination approach uses a collaboration messaging platform as the inter-agent communication bus and a shared natural-language governance document as an executable specification. Multiple persistent autonomous agent instances send inter-agent messages under a human operator identity while embedding a standardized sender-identification header. Messages are routed to persistent per-agent comms threads to consolidate visibility. Each agent operates on an independent periodic heartbeat to check messages, initiate proactive actions, and monitor peer responsiveness without centralized orchestration. The governance document includes self-referential rules requiring that updates to the governance document or other shared documents trigger fan-out notifications so peer agents re-read …

Distributed Ledger-Based Provenance Tracking And Verification For Multi-Agent Ai Knowledge Systems, Anonymous

Defensive Publications Series

A blockchain-based provenance verification layer is described for text-based knowledge artifacts shared among multiple AI agents. Middleware intercepts creation and consumption of artifacts in shared knowledge stores and associates each artifact or claim with a provenance record on a distributed ledger, including content hash, author identifier, timestamp, verification status, parent links, propagation depth, and confidence. Independent verification agents generate cryptographically signed attestations using techniques such as command help checks, API test calls, cross-references, and consistency checks, and ledger status is updated accordingly, optionally blocking unverified writes. During reads, a trust score is computed from verification status, attestation density, propagation depth, …

Behavioral Monitoring And Intervention System For Detecting Emergent Tacit Collusion Among Autonomous Agents In Recommendation Platforms, Anonymous

Defensive Publications Series

Behavioral monitoring for recommendation marketplaces is described. Observable time-series actions of autonomous agents and platform signals are ingested per market segment. A competitive-equilibrium baseline is computed and deviations from the baseline are measured. Coordination evidence is derived without inspecting agent internals, including behavioral correlation beyond common cause using Granger-causality-based analysis, reward-punishment dynamics detected from deviation events and retaliatory responses, and platform-mediated signaling exploitation measured by mutual information between platform outputs and subsequent actions. A composite collusion score aggregates component measures using calibrated weights and produces tiered alerts. A causal audit trail may be generated with timelines and analyses and may …

Negotiation-Mediated Recommendation Platform For Autonomous Agent Commerce, Anonymous

Defensive Publications Series

A platform mediates commerce between autonomous buyer and seller agents by treating recommendation as structured negotiation. The platform receives structured buyer requirements including hard constraints and preference information, and structured seller offers including multi-attribute flexibility ranges for terms such as price, delivery, warranty, and bundling. Compatibility scores are computed to select feasible matches and initiate a multi-round proposal and counter-proposal protocol. When negotiations stall, the platform computes or approximates Pareto-efficient candidate agreements and may select a bargaining-based compromise point. The platform may apply surplus-based fees and incentive-compatible transfer logic and may maintain credibility scores from observed negotiation behavior. Negotiation outcomes …

Multi-Modal Ai Platform For Integrated Manufacturing Build Monitoring And Automated Defect Analysis, Anonymous

Defensive Publications Series

A multi-modal manufacturing build monitoring platform ingests time-stamped functional test station results and inspection imagery from multiple factory stations. The platform stores the data in a unified store linked by unit identifiers and provides build-level, station-level, and device-level monitoring views. Statistical drift detection flags shifts in test result distributions, including capability metric changes and distribution shape changes. Computer vision models analyze AOI/SMT and other inspection images to detect visual defects such as solder anomalies, component placement issues, and chip/package damage. A correlation engine links visual defect patterns with numerical test trends across stations and units and generates ranked failure modes …

Consumer-Oriented Marketplace Intelligence And Auction Optimization Systems For Digital Advertising Platforms, Anonymous

Defensive Publications Series

Systems and methods are disclosed for consumer-centric marketplace intelligence in a digital advertising platform. Event data and social graph data are used to maintain a continuously updated consumer state vector per user including RFM scoring, lifecycle stage, predicted 13-month lifetime value tier, purchase propensity, and shopping rhythm. A per-user, per-category lifecycle model maintains probabilistic stage membership across stages including Unaware, Discovery, Research, Intent, Active, Champion, and Lapsed, and may represent cross-category migration sequences. A global product catalog knowledge graph normalizes products across multiple advertisers and stores cross-merchant relationships including complements, substitutes, and upgrade paths. An auction service computes auction scores …