Digital Commons Network^™

Structured Multimode Optical Communication System With Engineered Channel Mixing And Dsp-Based Signal Recovery (Gci-286 “Ariadne’S Braid”), Michael Victor Caldwell Mr.

Defensive Publications Series

GCI-286 “Ariadne’s Braid” describes a structured multimode optical communication architecture in which modal coupling is intentionally engineered rather than suppressed. The system combines wavelength-division multiplexing, dual-polarization encoding, and low-order spatial modes within a controlled propagation medium designed to produce a repeatable and bounded channel matrix. Instead of relying on ideal mode isolation, the receiver estimates the channel response and reconstructs transmitted signals using regularized digital signal processing techniques.

The prototype integrates four optical wavelengths, dual polarization states, and four low-order vortex-like spatial modes within a single engineered waveguide, yielding up to 32 concurrent data streams. The propagation medium employs a …

Canine-Specific Collagen-Binding Flt3-Ligand (Flt3l) Fusion Protein, Mari Maeda

Defensive Publications Series

This disclosure describes the molecular architecture and primary amino acid sequence of a recombinant fusion protein comprising a canine-derived Fms-like tyrosine kinase 3 ligand (FLT3L) extracellular domain and a collagen-binding domain (CBD). The construct is designed for expression in mammalian systems and includes a signal peptide for secretion, a flexible linker to preserve functional domain activity, and a C-terminal purification tag.

The fusion protein is configured to associate with collagen-rich extracellular matrices through the CBD moiety, enabling localized presentation of FLT3L within tissue environments. FLT3L is a hematopoietic growth factor involved in the expansion and differentiation of dendritic cell populations, …

Sentinel Passive Vortex Space Toilet Separator (Spvts-1), Michael Victor Caldwell Mr.

Defensive Publications Series

SPVTS-1 is a passive urine–air separation system designed to replace fan-driven separators in spacecraft toilets. It uses a vortex-based phase separation approach combined with adaptive air preflush and capillary-assisted startup to maintain performance across a wide flow range.

The system targets ≤1.2% air entrainment while reducing mechanical complexity, power use, and maintenance requirements.

Public-Exposure Reputational Loss Factor For Adjusting A Defendant Rational Ceiling In Bilateral Settlement Analysis, Aaron Burton

Defensive Publications Series

A method for adjusting a defendant's rational settlement ceiling in a civil matter when the case record is indexed on a public legal database and the defendant operates a consumer-facing business. The method detects public indexing of the case record, confirms the defendant's consumer-facing status from structured business data, and then applies a reputational loss factor to the defendant's rational ceiling above the direct projected litigation cost. The adjusted ceiling reflects the empirical observation that a publicly indexed civil matter against a consumer-facing defendant creates ongoing search-surface exposure that translates into projected revenue impact independent of the legal outcome, and …

Monte Carlo Simulation Of Downstream Organizational Cost For Deriving A Risk-Adjusted Defendant Ceiling In Bilateral Settlement Analysis, Aaron Burton

Defensive Publications Series

A method for deriving a risk-adjusted defendant rational settlement ceiling by running a Monte Carlo simulation across a population of hypothetical adverse-judgment outcomes and summing the sampled downstream organizational costs into a per-trial total cost. Each trial samples independently from distributions for reputational damage magnitude, operational disruption duration, and future litigation exposure multiplier. The simulation produces a probability distribution of total organizational cost to the defendant conditional on an adverse judgment, and a specified percentile of that distribution is selected as the risk-adjusted defendant ceiling. The ceiling is written to a structured output field and passed to a bilateral settlement …

Docket Activity Density Signals For Estimating Opposing Party Legal Spend In Bilateral Settlement Analysis, Aaron Burton

Defensive Publications Series

A method for estimating an opposing party's cumulative legal spend in a pending civil matter by counting observable case activity signals drawn from the public court docket and extrapolating projected spend from the activity density relative to case age. The method does not require access to the opposing party's billing records, retainer disclosures, or internal financial data. Counted signals include outbound correspondence logged in the docket, inbound legal responses, attorney appearance records, substantive motion filings, and hearing entries. A per-signal cost weight is derived from jurisdictional attorney fee averages, then multiplied by the observed signal counts and scaled by case …

Deterministic Text Fingerprinting Of Legal Documents For Detecting Ai-Generated Passages, Aaron Burton

Defensive Publications Series

A method for detecting AI-generated passages in legal documents by producing deterministic text fingerprints from each paragraph or section and comparing those fingerprints against a labeled reference corpus of known AI-generated legal writing and known human-authored filings. The method normalizes legal text, canonicalizes tokens against an ontology organized by legal-writing dimensions, produces a fixed-width numeric fingerprint per chunk, and returns a per-paragraph AI-likelihood score together with a document-level composite. The output is intended as a triage signal for attorneys, legal operations teams, and courts subject to standing orders requiring AI disclosure.

Ai Agent Method For Mapping Product Feature Descriptions To Patent Claim Elements With A Coverage Score, Aaron Burton

Defensive Publications Series

An AI agent method for reviewing patent claims against product feature descriptions in legal workflows. The agent parses claim text into elements, aligns each element to natural language feature statements drawn from public product materials, and emits a coverage score expressed as a percentage of elements satisfied along with a one sentence explanation per element. The method targets legal operations teams and pro se inventors who need a repeatable first pass before attorney engagement.

Gci #291-V.3, Michael Victor Caldwell Mr.

Defensive Publications Series

GCI #291-V.3 This disclosure describes an adaptive transpiration-based thermal protection system (TPS) designed to address clogging, hot-spot formation, and lack of fault tolerance in conventional high-temperature protection systems. The invention replaces straight cooling pores with helically structured vortex microchannels that sustain swirling flow, generating centrifugal forces that reduce particulate deposition and maintain open flow paths under contaminated conditions. The system further incorporates pulsed flow actuation for active clearing of obstructions and a redundant manifold network enabling dynamic redistribution of coolant flow. Together, these features transform transpiration cooling from a passive process into an active, self-cleaning thermal management system. The design …

Context-Aware Database Access Control Via Differential Evaluation Of Candidate Transactions Against Filtered And Unfiltered Projections, Felix Barbalet

Defensive Publications Series

Problem. Access control in database-backed systems conventionally uses separate mechanisms for read and write paths: read-path filtering (row-level security, query rewriting, view predicates) paired with write-path per-row post-image checks (e.g. SQL WITH CHECK OPTION) or ad-hoc application logic. The two specifications drift apart; per-row write checks miss indirect effects from triggers, referential cascades, derived-data maintenance, and secondary-index side effects; and externalized authorization services introduce staleness hazards.

Technique. A single visibility predicate, derived from the request context, governs both paths. Reads are evaluated against a projection of the database from which elements failing the predicate are absent. A write is authorized …

Shadow Networks The Hidden Infrastructure Behind Global Cyber Attacks, Pranav Bhatnagar Mr

Defensive Publications Series

Beneath the visible layer of the internet that supports communication, commerce, and daily digital interaction exists a far more complex and less understood ecosystem of interconnected systems, covert infrastructures, and distributed networks that enable, sustain, and amplify modern cyber operations, forming what can be described as shadow networks, an invisible backbone of global cyber conflict where attacks are not simply launched but orchestrated, routed, disguised, and sustained across borders, jurisdictions, and technological layers, and these networks are not confined to isolated hacker groups but are often embedded within legitimate infrastructure, cloud environments, compromised devices, and anonymization frameworks that make attribution …

The Algorithmic Battlefield - How Ai Is Redefining Modern Warfare, Pranav Bhatnagar Mr

Defensive Publications Series

Modern warfare has entered a phase where conflict is no longer initiated or decided solely through visible force, territorial aggression, or human-led strategy, but through the continuous operation of Artificial Intelligence systems that process intelligence, predict behavior, and influence decisions at a scale and speed beyond human comprehension, transforming the battlefield into a persistent, invisible domain where actions are shaped long before they are executed, as seen in real-world geopolitical tensions such as those between Russia and Ukraine, where cyber operations, satellite interference, and AI-assisted intelligence systems have become as critical as physical military deployments, and in the strategic competition …

Contactless Orbital Debris Shepherd (Cods), Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure, Contactless Orbital Debris Shepherd (CODS) presents a scalable, contactless orbital debris removal system using coordinated ion beam momentum transfer, photon-assisted impulse control, and deployable drag augmentation devices. The system eliminates the need for mechanical capture and enables multi-target debris mitigation through autonomous formation flight and distributed operations.

Identity-Based Encryption For Secure Agentic Ai Workflows, Niranjan M M

Defensive Publications Series

Agentic AI systems are increasingly used across platforms for autonomous networking, security operations, observability, customer support, and business process automation. These systems consist of dynamically composed chains of AI agents, tools, and human participants that exchange highly sensitive data such as network telemetry, configuration state, customer information, and AI reasoning artifacts. Traditional security mechanisms such as static access controls, certificate-based encryption, or policy-heavy approaches like attribute-based encryption, do not scale effectively in these dynamic, high-churn environments.

The proposal introduces an Identity-Based Encryption (IBE) framework specifically designed for securing agentic AI workflows. In the proposed system, each agent, tool, and workflow …

Machine Learning Based Safe Transmission Rate Guidance For Industrial Iot And Ot Networks, Niranjan M M

Defensive Publications Series

Industrial IoT (IIoT) and Operational Technology (OT) networks lack a mechanism to regulate how much traffic is introduced into the network based on real-time conditions, leading to congestion and degradation of critical communications. The proposal introduces a machine learning–based system that derives a safe transmission rate using cross-layer network telemetry and enforces it at gateways, brokers, or network elements. By enabling predictive and controlled traffic admission, the proposed method ensures stable and reliable operation in industrial environments.

The Virtual Content Viewing Device With A Greater Virtual World View And A Greater Actual World View That Utilizes A Convex Lens-Based Refraction Mechanism To Provide The Greater Virtual Projection Observing Space Where A Concave Lens-Based Mechanism Will Enable The User To Clearly Observe The Real World., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a virtual content viewing device with a greater virtual world view and a greater actual world view that utilizes a convex lens-based refraction mechanism to provide the greater virtual projection observing space where a concave lens-based mechanism will enable the user to clearly observe the real world. The entire virtual content viewing device will consist of a left composite projection system and a right composite projection system. The left composite projection system will contain a top projection system and a bottom projection system. And the right composite projection system will contain a top projection system and a …

Arachne-Chip Hybrid Interposer: Vortex-Enhanced Microfluidic, Anisotropic Cte-Tuned Thermal Platform For High-Density Chiplet Systems, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure presents a hybrid thermal–structural interposer designed to address critical limitations in advanced semiconductor packaging, specifically thermal boundary layer stagnation, hotspot formation, and coefficient of thermal expansion (CTE) mismatch.

The architecture integrates an anisotropic Dyneema-based laminate for CTE tuning and in-plane thermal spreading, a targeted vortex-enhanced microfluidic manifold for boundary layer disruption, and a dual-layer pressure-balanced flow distribution system to ensure thermal uniformity across the die. Additional features include impedance-graded channel geometry, pulsed-flow operation for transient load stabilization, Kapitza-aware interface engineering to reduce interfacial thermal resistance, and a compliance buffer layer to improve long-term mechanical reliability.

Unlike conventional flat …

Hierarchical Entropy Generation For Traffic-Class-Aware Load Balancing, N/A

Defensive Publications Series

This publication describes techniques for hierarchical entropy generation to enable traffic-class-aware load balancing of Remote Direct Memory Access over Converged Ethernet version 2 traffic over Virtual Extensible LAN architectures. A three-level approach generates entropy by calculating an inner source port based on communication channel identifiers, assigning a network identifier based on traffic characteristics, and calculating an outer source port based on the inner source port and the network identifier. These techniques expose fine-grained flow and traffic class information to an underlay network to improve load balancing and network utilization. Keywords: load balancing, entropy generation, traffic classification, multi-path routing, network identifier, …

Co-Packaged Backplane System Architecture, N/A

Defensive Publications Series

This publication describes a co-packaged backplane system architecture that addresses insertion loss and reach limitations in high-frequency electrical channels. By incorporating a blind mate connector directly onto a chip substrate, the architecture enables direct mating to a backplane or frontplane. This approach eliminates internal flyover cables, increasing the copper reach within a system rack and reducing the complexity of the electrical channel. Keywords: co-packaged backplane, co-packaged copper, blind mate connector, insertion loss, and chip substrate.

Agent-Based Iterative Refinement Of Expanded Prompts For Video Generation, Ágoston Weisz, Giorgos Vernikos, Aleksander Bulski, Yanan Qian, Mertay Dayanc, Orly Liba

Defensive Publications Series

Video generation models can exhibit deficiencies in text-to-video alignment and instruction following, and some agentic systems may be limited by editing the initial user prompt, an approach that can be less effective when a detailed prompt expander is used. This disclosure describes an agent-based iterative refinement system that operates on machine-generated expanded prompts provided to a video model. The method can utilize a self-improvement loop where a critic component, for instance one or more large language models (LLMs), analyzes a generated video. Another LLM can then perform targeted edits on the expanded prompt to address identified flaws, and a selection …

Method For Secure Ai Grounding Using Semantic Token Substitution And Client-Side Re-Hydration, N/A

Defensive Publications Series

Using generative artificial intelligence with sensitive data may present challenges, as transmitting personally identifiable information or protected health information to third-party providers can introduce security risks, and some data masking techniques can reduce reasoning capabilities. A described system uses a proxy, masking layer that can intercept data within an enterprise's secure perimeter. This layer can substitute sensitive strings with persistent, structured semantic tokens that may be enriched with non-sensitive metadata hints to help preserve context. An external artificial intelligence can perform reasoning on this abstracted data, and its tokenized response can be re-hydrated into readable text on a client device …

Service-Aware Quality Of Service Control For Multi-Agent, Multi-Provider Ai Systems, Niranjan M M

Defensive Publications Series

Modern AI systems are rapidly evolving from monolithic models into agentic, service-oriented architectures, where multiple agents collaborate to execute complex workflows composed of specialized services such as planning, reasoning, retrieval, tool execution, validation, and orchestration. These workflows increasingly span multiple agents, heterogeneous runtimes, and multiple providers, communicating through agent-to-agent (A2A) protocols.

While Quality of Service (QoS) mechanisms are well established in networking and distributed systems, existing approaches are insufficient for agentic AI systems. Current solutions operate at coarse granularities such as network flows, inference requests, or entire workflows and rely on static configuration. They lack awareness of service execution semantics, …

Stateful System For Predictive Tracking Of Dynamic Road Hazards, Tom Spigland, Assaf Eisenberg, Ziv Tzor, Avishay Ram

Defensive Publications Series

Static hazard reporting methods may be inefficient for tracking dynamic, moving hazards, such as cyclists, potentially leading to obsolete alerts. A stateful system can treat a moving hazard as a persistent object with a unique identifier. The system can ingest multi-source kinematic data to periodically update an object's state, for example, its location and speed, as an alternative to repeatedly creating and deleting static pins. Such a system may employ a prediction engine to interpolate movement, a filtering engine to manage alert relevance based on context like speed or road type, and a clustering algorithm to consolidate groups of hazards. …

System For Modeling Coexisting Speed Limits Via Parallel Propagation Of Conditional, Statutory, And Variable Rules, Danendra Singh, Mert Kalender

Defensive Publications Series

Digital map systems may represent speed limits as static, single-value attributes, which can limit their ability to model real-world scenarios with multiple, context-dependent rules for a single road segment. A system is described for modeling coexisting speed limits via a multi-stage processing pipeline that may feature a parallel propagation architecture. This mechanism, which can be referred to as smearing, can propagate different speed limit types as independent, overlapping layers along a road network. The process can generate a dynamic, multi-dimensional map layer that consolidates explicit rules from physical signs and implicit legal rules. This framework may enable a vehicle's computing …

A Heuristic Framework For High-Fidelity Domain Assessments Via Modularized Attention Steering, Subhankar Sarkar, Michael Quam

Defensive Publications Series

The application of large language models (LLMs) for complex document analysis may be limited by a potential to generate factually incorrect information, which can be unsuitable for fields where high precision and verifiability are beneficial. This disclosure describes a non-deterministic methodology for conducting complex, multi-variable assessments of unstructured data using Large Language Models (LLMs). Conventional systems often fail due to "semantic dilution" and "attention fragmentation" when evaluating high numbers of concurrent rules against large unstructured data or documents. The framework introduces Decoupled Semantic Anchoring and Attention Steering (DSA-AS), which integrates thematic modularization, decoupled knowledge-graph anchoring, and a consensus protocol with …

Deliberative Intelligence, Iterative Consensus, And Outcome-Grounded ‘Wisdom’ Via Reality Backpropagation, Joseph Jm Walker

Defensive Publications Series

This disclosure introduces Reality Backpropagation, a mechanism for aligning artificial intelligence systems with real-world outcomes over time. While conventional AI systems rely on internal error gradients derived from training data, the disclosed system incorporates external “reality gradients” by evaluating predictions against observed consequences and updating agent influence accordingly.

Implemented within a modular, multi-agent architecture, the system includes structured deliberation, an agreement matrix for mapping convergence and divergence, and an iterative consensus loop in which outputs are treated as provisional rather than final. A Wisdom Module performs a Reality Audit Loop that compares expected and actual outcomes across multiple temporal …

Ai-Powered Visual Analysis Of Telemetry Time Series Images For Event Identification, N/A

Defensive Publications Series

The technology described in this paper relates to an agentic AI method for the automated visual analysis of telemetry plots provided in image format. The method involves identifying time-series characteristics within an image, such as axes and trends, and utilizing dependency-awareness to prioritize relevant data. Significant events are detected by analyzing value changes relative to plot scales, with a specific focus on identifying correlated shifts across multiple time series. These events are subsequently categorized into types, such as sustained increases or slow degrades, and summarized in a structured format. This approach automates the interpretation of graphical patterns to accelerate event …

System And Method For Cross Issuer Payment Coordination, Gaurav Gupta, Ritesh Saini, Haseen Ahmad

Defensive Publications Series

This disclosure relates generally to the field of payment systems, in particular to a system and method for enabling cross issuer payment coordination with real-time temporary card issuance. A merchant interface may provide a customer with an option to obtain a temporary payment card in real time to avail an offer associated with a different issuer. Upon selection, a transaction request including an indicator for temporary card issuance may be transmitted through a merchant bank to a payment network, which routes the transaction for authorization and facilitates issuance and provisioning of the temporary card with a predefined limit. The payment …

Storage-Aware Shuffle Planner (Sasp): A Storage-Constrained Shuffle Optimisation Layer For Distributed Computation Engines, Ananya Verma, Raouf Khan

Defensive Publications Series

The present disclosure relates to the field of distributed data processing, in particular to storage-aware adaptive shuffle planning (SASP) for shuffle optimisation in distributed computation engines. SASP provides a storage-aware planning layer that restructures shuffle execution based on actual storage capacity. The system collects object-store telemetry, including bandwidth, IOPS, latency, throttling, and concurrency, to construct a storage pressure vector for each prefix. Concurrently, expected shuffle partition sizes are analysed from execution plans. Based on these inputs, SASP forecasts partition-level strain and generates a Shuffle Prefix Mapping Table (SPMT) to assign partitions to output prefixes, ensuring balanced I/O load. A plan …

Trusted Distribution And Authentication Of Ai Agent Artifacts, Niranjan M M

Defensive Publications Series

AI-driven systems increasingly rely on externally developed AI agent artifacts, such as agents, tools, plugins, and services, that are distributed through registries or marketplaces and executed within enterprise environments. While existing registries enable discovery and existing runtime security systems focus on detecting malicious behavior during execution, there is no mechanism to ensure that such artifacts are authentic, legitimately published, and governed across their lifecycle before execution.

The proposal introduces systems and methods for trusted distribution and authentication of AI agent artifacts, establishing a pre-execution trust framework that enables consuming systems to verify publisher identity, artifact authenticity, provenance, and lifecycle state …