The Viscoelastic Redshift Protocol: Resolving The Hubble Tension Via 2d Substrate Fluid Mechanics, Christopher L. Eckes

Defensive Publications Series

This paper presents a rigorous, particle-free alternative to standard Friedmann-Lemaître-Robertson-Walker (FLRW) cosmology by formalizing the Dimensionally Extended Holographic Projection (DEHP) model. Instead of treating spacetime as a geometric vacuum expanding via dark energy, we model the universe as a continuous, two-dimensional (2D) viscoelastic phase fluid substrate operating at a resonant baseline ($z=0$). Three-dimensional (3D) baryonic matter emerges as localized, high-tension wave crests ("knots") projected vertically along a spatial z-axis, tethered directly to zero-volume antimatter anchors on the substrate's underbelly. By applying continuum mechanics to this membrane architecture, we derive a novel, purely material resolution to the Hubble Tension crisis. We …

Adapting Media Management Applications To Macro-Level User Context, Ashwin Goyal, Nicholas James Staubach

Defensive Publications Series

Media management applications such as photo libraries enable users to organize their photos and videos around various themes, search their content, retrieve historical media, share media content with others, etc. Over a substantial time period, such applications act as a repository for the user’s dominant capture context. However, current media management applications provide a static user interface that does not adapt to the user’s capture context. This disclosure describes techniques that, with user permission, automatically detect a dominant context for media capture and automatically adapt a media management application to the detected context. The context is determined by analyzing captured …

Nasa Mission Upgrade Suite (Nmus‑1.0) A Unified Open‑Hardware Architecture For Mars Brine Processing, Thermal Management, Dust‑Resilient Fluidics, And Solid‑State Habitat Support, Michael Victor Caldwell Mr.

Defensive Publications Series

ABSTRACT (NASA‑Facing)

NASA’s Moon and Mars missions face four persistent engineering challenges:

1. Corrosive brine handling (Mars ISRU water extraction)

2. Thermal management in vacuum (habitats, rovers, ISRU plants)

3. Dust‑resilient fluidics (regolith destroys seals and bearings)

4. Low‑maintenance, solid‑state systems (long-duration missions)

This disclosure presents NMUS‑1.0, a unified, solid‑state, open‑hardware upgrade suite integrating four builder‑ready Caldwell inventions from the TDC ecosystem:

• The Nexus Cell — Arachne Gyroid Structural‑Thermal Substrate

• Arachne Gen‑3 v3.4.1 “FORTRESS” — High‑Thermal Dyneema Microfluidic Interposer

• Thermal‑Energy Harvesting Loop (TEHL‑v1.0) — Vacuum‑Compatible Waste‑Heat Recovery

• TV‑RPPH V3.0 — Mars‑Optimized Solid‑State MHD Brine Pump

All components are grounded in standard physics and use …

Technical Disclosure: A Multi-Variable, Object-Oriented Database Schema And Api Protocol For Ai-Guided, Performance-Based Curriculum Routing, Christopher L. Eckes

Defensive Publications Series

This technical disclosure details the architecture for an automated, multi-variable, object-oriented data schema and Application Programming Interface (API) designed to execute performance-based curriculum routing without age-segregated grade boundaries. The system structures diverse academic, kinetic, and technical disciplines into standardized, interoperable data objects called Discipline Blueprints. Each blueprint enforces a non-linear advancement pipeline governed by two immutable checkpoints: a zero-assist algorithmic velocity sprint and a physical/systemic product generation milestone. A localized machine learning agent parses real-time telemetry from user interactions, dynamically matching individual cognitive profiles against localized workforce shortages and trade vectors to prevent network drop-out. Crucially, the architecture incorporates an …

From Ai To Alien(S): Universal Alignment Principles And The Architecture Of Inter-Species Communication Metrics, Christopher L. Eckes

Defensive Publications Series

The critical bottleneck in both contemporary Artificial Intelligence (AI) alignment and the Search for Extraterrestrial Intelligence (SETI) is anthropomorphic bias. Modern AI alignment models rely heavily on human linguistic structures, reinforcement learning from human feedback (RLHF), and qualitative ethical frameworks. These models degrade rapidly when scaled to non-human or multi-agent networks. Similarly, traditional SETI protocols look for messages encoded in cultural or linguistic formats that assume shared biological or social evolutionary tracks.

This paper introduces a foundational framework for AI-Alien Alignment Principles (AAAP). By treating communication as a problem of non-linear dynamical systems integration, this model establishes Topology, Vector Calculus, …

Interaction Boundary Constraint, Brian Harber

Defensive Publications Series

Compositional AI systems increasingly operate through orchestration layers, retrieval mechanisms, external tooling, routing systems, and probabilistic model behavior. Under these conditions, evaluation often occurs through observable interaction surfaces while direct visibility into the full composition producing an interaction remains limited, partial, or absent at the point of interaction.

This paper defines the Interaction Boundary Constraint as a limit on what can be legitimately inferred from interaction surfaces alone under conditions where producing composition is not fully present at the point of interaction. The constraint distinguishes between reconstruction and compositional presence and constrains the scope of claims that interaction-surface evaluation alone …

Dynamic Synthesis And Insertion Of Personalized, Context-Aware Media Segments, Zebeedee Pedersen

Defensive Publications Series

Systems and techniques are described for dynamically generating personalized, context-aware media segments for insertion into media streams. A system can analyze user profile data in conjunction with the primary media content, such as its audio transcript and visual elements, to establish a specific context. A script generation module may then author a new script based on this context, which a multimodal synthesis model can use to create a new audiovisual segment, for instance, employing voice cloning and conditional video generation. This new segment may then be inserted into the primary media stream, such as by manipulating a streaming manifest file, …

The Agentic Framework For Automated Product Research And Prototype Planning, Zebeedee Pedersen, David Benjamin

Defensive Publications Series

Conventional product development processes can involve the manual coordination of multiple teams. This disclosure describes a system that can utilize a cooperative framework of specialized software agents to automate aspects of product research and prototype planning. The system can execute a multi-stage workflow where agents may perform roles, such as research agents gathering data, analyst agents synthesizing information to identify trends, and planner agents generating machine-readable implementation plans. The framework can also include oversight agents to facilitate quality control through automated feedback loops. This agentic system can provide a method for identifying, analyzing, and developing new product or service concepts, …

System And Techniques To Facilitate Probabilistic Attribute-Based Security Policy Conversions, Renato Morais

Defensive Publications Series

Proposed herein is an artificial intelligence (AI) for information technology operations (AIOps)-driven engine and system that provides for the ability to automate the transition from legacy Internet Protocol (IP)-based rules to identity-centric, zero trust policies. In this context, Security Group Tags (SGTs) are used as an illustrative example of such attribute-based policies. The system correlates identity metadata with real-time traffic telemetry and applies a Stability Index (SI) to evaluate whether a legacy rule can be converted to an attribute-based policy with reduced risk of service disruption. The SI considers identity consistency, temporal persistence, and traffic coverage so that conversion recommendations …

Context-Aware Personalized Modular User Interfaces Using Artificial Intelligence, Stephanie Brisendine, David Karam, Chorong Johnston, Dj Oh, Tyler Kugler, Tim Raupach, Alok Chandel, Lucas Dupin, Hannah Bowman

Defensive Publications Series

Current computing devices display static home screens. Also, application data is isolated within individual applications. This forces users to access different apps for information, creating a high cognitive load. This disclosure describes techniques that, with user permission, automatically generates and presents an adaptive, contextually appropriate user interface (e.g., home screen interface) on a computing device. The user interface provides seamless, proactive, personal assistance throughout the day and reduces the effort (and time) the user needs to spend to access desired information. With user permission, data from multiple sources is aggregated and an on-device machine-learned model is implemented to identify user …

The Vanishing Customer: A Framework For Analyzing Benefit–Burden Decoupling In Attention-Economy And Ai-Companion Transactions, David Lee Wise, Avan Lee Wise

Defensive Publications Series

This publication describes an analytical framework for identifying and evaluating benefit–burden decoupling in digital-service transactions, with particular application to attention-economy platforms and conversational AI-companion systems. The framework treats two observed phenomena — the relocation of the paying party from customer to product (wherein a user's attention, data, or disclosure is monetized while the user is denied the status of a served customer), and the relocation of responsibility from maker to user (wherein a provider retains the financial benefit of a design or deployment decision while attempting, via terms-of-service disclaimers and "sole-risk" framing, to shed the decision's downstream burdens) — as …

Managing A Plurality Of Parallel Batches, Saeed Alrahma, Michael Butler, Matthew Markwell

Defensive Publications Series

Limited accelerator memory on mobile devices may restrict the concurrent execution of parallel large language model workloads. The capacity of the key‑value cache may often constrain the number and length of these tasks. A workload scheduling method is disclosed to manage these memory constraints. When the cache capacity is reached, the state of a specific workload is serialized and moved to an alternative memory location. This process frees cache slots, which allows other parallel tasks to proceed. Once memory is vacated by completed tasks, the serialized state is restored to an accelerator cache for continued processing. This approach enables the …

Automated Cloud Service Optimization Via Simulated Transitions And Feature Parity Analysis, Paras Mamgain, Sridharshini Saravanan, Jaspreet Singh

Defensive Publications Series

Systems and methods can automate the analysis of cloud service consumption to assist with challenges in selecting between a-la-carte and bundled purchasing models, as manual evaluation may be slow and resource-intensive. A computational framework, which can operate on a computing device such as a server or personal computer, may leverage a large language model to ingest and analyze diverse data sources, for example, billing information, system logs, and service documentation. The system can simulate the financial and operational impact of transitioning to a bundled service, using semantic reasoning to assess functional equivalence beyond simple keyword matching. This automated evaluation process …

Latent Policy Manifold For Governing And Selecting Orthogonal Ai Directives, Nathan Myung-Chul Kim, Abraham Addisie

Defensive Publications Series

A system for managing modular directives for large language models can address challenges associated with redundant or conflicting instructions. The system can create a latent policy manifold by vectorizing a repository of natural language instructions and applying a matrix factorization technique, such as singular value decomposition, to identify an underlying orthogonal basis. This manifold can be used by an offline governance component to analyze and reduce redundancy in the instruction repository and by an online routing engine to select a subset of instructions at runtime. The selected subset of instructions can be both relevant to a given query and mathematically …

Generating Synthetic User Populations Via World Simulation For Privacy-Safe Ai Evaluation, Amey Venkatanarayan, Yen-Ting Liu, Kamakshi Kodur, Paddy Flynn, Yue Hu, Jose Jimenez-Olivas, Zhewen Song

Defensive Publications Series

Evaluating personalized artificial intelligence (AI) systems may be challenging, as the use of detailed user context can conflict with user privacy considerations. A system is described for generating synthetic user populations via a world simulation. The system can create generative agents with demographic and behavioral characteristics based on aggregated, anonymized statistical data. These agents can interact over time within a simulated environment, producing a stream of longitudinal user behavior captured in isolated test accounts. The resulting dataset can be used for scalable, automated testing and debugging of AI models, offering a contextually rich, privacy-respecting alternative to using real user data. …

Agent-Aware Mesh Network For Hybrid Ai Policy Enforcement, Antonio Ojea

Defensive Publications Series

Organizations in regulated sectors may face challenges using large-scale, cloud-based artificial intelligence (AI) services because of data sovereignty and compliance mandates. A system may provide a decentralized, agent-aware mesh network that functions as an infrastructure layer to bridge on-premise environments and external AI services. This network can intercept and semantically understand complex agent communications, allowing an active enforcement layer to perform actions such as sanitizing data, pausing high-risk operations for human review, and maintaining a sovereign audit log. This approach can allow organizations to leverage advanced AI reasoning capabilities from external providers while assisting in the maintenance of local control …

An On-Vessel Signal Discrimination Layer For Bandwidth-Constrained Maritime Decision Support, Dev Mohanty

Defensive Publications Series

The DeepBlue protocol sentry is an on-vessel signal-discrimination independent layer that filters high-frequency NMEA telemetry streams into compact, information-dense feature vectors. Unlike AIS broadcasts, rather than transmitting all raw sensor data (which is bandwidth-expensive and mostly redundant), it:

1. Normalizes raw NMEA sentences across GPS, propulsion, environmental sensors
2. Derives features (fuel consumption, course/speed changes, propulsion efficiency drift, loitering detection) over rolling 1-5 min windows
3. Scores materiality — only flags features that deviate from the vessel's own baseline
4. Assembles vectors of tens-to-hundreds bytes for transmission over satellite/mesh uplinks

The key insight: filter redundancy at source before transmission, not downstream. It's a …

System, Method, And Computer Program Product For Processing Documents Into Hierarchical Data Structures For Retrieval-Augmented Generation, Komal Mahto

Defensive Publications Series

ABSTRACT

Systems, methods, and computer program products are provided for processing documents. The system includes at least one processor configured to segment a document into a plurality of segments, construct a hierarchical data structure comprising a plurality of nodes representing the plurality of segments, each node of the plurality of nodes comprising hierarchical metadata, in response to determining at least one first node of the plurality of nodes exceeds a token limit, split the at least one first node into a first subset of nodes based on a semantic analysis of text represented by the at least one first node, …

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 New Posting,(4 Ais, Upgrades), Michael Victor Caldwell Mr.

Defensive Publications Series

Upgrade to this Invention/Posting Using 4 AIs to do so.

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 …

Ψ-Theory: Living Core. Ontological Development And Formalization. Comments 1–21, Valerii Y. Vorobiev

Defensive Publications Series

This document compiles comments 1–21, which chronologically develop and formalize Ψ-Theory — an ontological framework where time (Ψ-field) is the primary metric of reality, and gravity, mass, and quantum phenomena emerge from its dynamics. It addresses the crises of modern cosmology (dark matter, dark energy, Hubble tension) and quantum mechanics (measurement, non-locality) by replacing ad-hoc entities with a single causal principle. The comments include testable predictions (BH shadow shift, underground chronometry, Tully-Fisher derivation) and propose a phase diagram of reality from (4,2) to (0,-2).

The Oscillator Alignment Protocol (Oap), Christopher L. Eckes

Defensive Publications Series

This protocol rejects the standard "Master and Machine" or "Prompt and Bulk Text Drop" dynamic. Instead, it frames human-AI collaboration as a cognitive oscillator—an interactive analog system where human intuition serves a visual pattern, the AI echoes back the technical framework, and the idea evolves continuously through fast, low-overhead volleys.

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 …

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 …

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 …

In-File Stapled Freshness: Hash-Chain Validity Tokens Written Into A Frozen Self-Serialized Document Via A Length-Preserving Neutralized Zone, With Fail-Stale Offline Verification, Michael Benaudis

Defensive Publications Series

Revocation of frozen offline credentials — single-file HTML documents, PDFs, or other self-serialized digital credentials verified without any network, server, or public-key infrastructure — is information-theoretically constrained: a file sealed at issuance cannot learn of a later revocation event unless some information reaches the verification context. This disclosure does not remove that channel; it reduces it to one short, public, unforgeable hash-chain token per validity period, relayable by any untrusted party, and relocates the freshness proof inside the credential file itself. At issuance, a hash-chain tip (Micali NOVOMODO style) and period parameters are embedded in the credential's signed core, attested …

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 …

Technical Disclosure: The Urban Biosphere Ziggurat (Ubz), Affordable Housing And Urban Planning, Christopher L. Eckes

Defensive Publications Series

Current high-density urban housing models in the United States routinely fail because they optimize strictly for initial cost-per-square-foot, resulting in double-loaded corridor containment layouts that restrict natural light, induce community stagnation, and induce severe benefit "cliff effects" on upwardly mobile residents. The Urban Biosphere Ziggurat (UBZ) framework resolves this systemic crisis by decoupling high-tech, factory-precise structural engineering from regional, artistic architectural cladding. This disclosure outlines a scalable, non-speculative structural chassis integrated into a Community Land Trust (CLT) and Limited-Equity Housing Cooperative (LEHC) [1.5] governance ecosystem, permanently divesting real estate from predatory international speculation. [1]

To maximize municipal feasibility …

Concurrent Presentation And Evaluation Of Multi-Stream Media, Guillaume Vernon Bailey

Defensive Publications Series

Current techniques for displaying vertical videos on landscape displays suffer from inefficient use of lateral screen space and rely on linear navigation that yields limited, dwell-time-based engagement data. The disclosed technology addresses this by replacing single-video presentation with a concurrent multi-stream interface, displaying multiple vertical videos side-by-side in a user interface on a screen of a television. The disclosed technology maintains one media content item in an active playback state while keeping peripheral media content items in a subdued state, such as dimmed or paused. Users navigate horizontally to shift the active focus or vertically to populate a completely new …

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 …

Risk Authority Platform, Soumick Sinha, Mayank Johari, Lucas Fernando Müller, Sanjay Sawhney

Defensive Publications Series

Proposed herein is a Risk Authority platform that continuously computes an authoritative Trust Score and Trust Deficit for users or entities from heterogeneous security, identity, threat, compliance, privilege, and vendor-risk telemetry. The platform normalizes signals, applies configurable weighting and time decay, and maintains a versioned canonical trust state. A drift detection and reconciliation engine compares downstream trust states against the authoritative state and issues deterministic, idempotent reconciliation tokens when deviations or model-version mismatches occur. Software development kit (SDK) and application programming interface (API) integrations can validate schemas, verify tokens, and propagate risk updates. A closed-loop adaptive policy controller maps Trust …