Digital Commons Network^™

Client-Side Dom-Based Orchestration Of Generative Ai Meeting Artifacts, Mansi Sawant

Defensive Publications Series

In enterprise video conferencing environments, capturing actionable engineering artifacts such as bug reports, architecture diagrams, or task assignments often requires users to manually context-switch across multiple browser tabs and applications. Existing third-party artificial intelligence (AI) agents attempt to address this by ingesting meeting transcripts via backend APIs, but this approach introduces security risks by transmitting confidential meeting data to external servers and requiring highly-privileged OAuth scopes for cross-application execution. The present disclosure describes a client-side autonomous orchestrator that operates entirely within the user's authenticated browser session. The orchestrator utilizes front-end robotic process automation and Document Object Model (DOM) manipulation to …

System And Method For Local Venue User-Generated Content Registration, Affinity-Sensed Curation, And Revenue-Shared Broadcast Pickup, Eric Zavesky

Defensive Publications Series

A system and method for local venue user-generated content registration, affinity-sensed curation, and revenue-shared broadcast pickup is disclosed. Patrons of local establishments capture video clips and upload them through verified paths establishing authorship and venue proximity. A registration service verifies authorship, assigns persistent content identifiers, and embeds venue provenance directly into clip files. An edge-processed, aggregate, non-biometric affinity sensor array measures audience engagement during display, generating affinity scores that inform curation and distribution decisions. A hierarchical governance engine applies positive and negative content filters with strict negative-override priority across per-clip, per-patron, and per-keyword vectors, supporting genre-aligned filter relaxation for special …

Adaptive Media Content Recommendation Based On Temporal Physiological States, Karl Joseph Weinmeister

Defensive Publications Series

This publication describes a media recommendation system that conditions content selection on a listener’s temporal physiological state rather than on external context alone. A biometric-sensing wearable device streams heart rate (HR), heart-rate variability (HRV), and inertial (e.g., accelerometer or gyroscope) data to a host media device, which buffers the multi-stream time series over a rolling look-back window. The buffered series is decomposed into a personalized seasonal component (circadian rhythms, baseline metabolic variation, historical resting-heart-rate zones, etc.) and a trend component that outputs the velocity and acceleration of the physiological state. A context classifier fuses biometric and motion signals to classify …

Multi-Cycle Dynamic Ir-Drop Prediction For Power Delivery Networks Using A Shared-Weight Encoder-Decoder With Convolutional Recurrence, Prateek Pendyala

Defensive Publications Series

Dynamic IR-drop, a voltage drop reflecting current (I) through resistance (R), has become a significant operational constraint in the power delivery network (PDN) of an integrated circuit.  A transient matrix solver can take upwards of 6-12 hours to verify one engineering change order (ECO).  Separately, a frame-based neural network may miss voltage deficits that build across consecutive clock cycles.  To address these limitations, this a prediction method feeds per-cycle power tensors through a shared spatial encoder.  From there, a convolutional long short-term memory (ConvLSTM) temporal core carries voltage history from cycle to cycle.  A shared spatial decoder then reconstructs a …

Gci-Vabc-R+ Continuous Acoustic-Inertial Bio-Purification Engine, Michael Victor Caldwell Mr.

Defensive Publications Series

Elevated levels of Lipoprotein(a) [Lp(a)] represent an independent, genetically determined causal risk factor for cardiovascular disease and aortic stenosis, affecting approximately 20% of the global human population. Current therapeutic interventions face severe trade-offs: pharmacological antisense oligonucleotides (e.g., Pelacarsen) have demonstrated sub-threshold event reduction in large-scale outcomes trials (Lp(a)HORIZON) due to depth-of-lowering limits (~72–80%), whereas existing apheresis platforms non-selectively deplete all Apolipoprotein B (ApoB) particles via non-specific adsorption. This disclosure details the full bench-scale prototype specifications, fluid dynamics models, electrical schematics, and testing protocols for the GCI-VABC-R+ Research Engine.

The GCI-VABC-R+ integrates Dean-flow secondary inertial focusing, high-frequency Bulk Acoustic Waves (BAW), …

Architectural Specification Of A Local Multi-Scale Contour For Stable Recursive Self-Improvement, Volodymyr Kotegov

Defensive Publications Series

This document describes a practical architecture for stable recursive self-improvement limited to programming, algorithms, and mathematics. The system runs as a bare core and does not require broad world knowledge or data-center resources. It is designed for 1 to 5 high-end local workstations (Mac Studio class or equivalent with 128–192 GB unified memory). The design combines aggressive evolutionary search with strong conservative safeguards: multiple time scales, a shadow reference copy, orthogonality based on execution traces, an immutable control core, and specification changes that depend on measured success density.

A Health Card Is Not Healthcare Why Coverage Does Not Always Become Care And How Institutions Can Close The Gap, Deepak Aggarwal

Defensive Publications Series

Universal healthcare is usually measured through two questions: can people obtain the care they need, and can they afford it without financial hardship? Both matter. Neither tells us whether care actually reached the patient.

A person may hold a health card. The treatment may be covered. The ambulance, hospital, specialist and payer may each follow their own rules correctly. Yet the patient may still wait too long, arrive at a hospital that cannot treat them, or be lost between institutions.

This paper examines that gap through Decision Engineering™. It follows a person suffering a heart attack along the Decision Integrity …

Cumorp‑1.0 — Caldwell Unified Multi‑Organ Research Platform, Michael Victor Caldwell Mr.

Defensive Publications Series

CUMORP‑1.0 is a multi‑physics benchtop research reactor designed to study:

• Autoimmune cascade collapse

• Neuro‑toxic aggregate clearance

• Oncological micro‑environment clearance

• Systemic multi‑organ inflammatory collapse

• Metabolic failure

• ROS overload

• Multi‑organ hydrology failure

• Multi‑organ pressure collapse

• Multi‑organ resonance misalignment

It integrates:

• CUTDE‑1.0 — telemetry spine

• S‑MORPH v1.0 — systemic multi‑organ physics

• C‑AIRE v1.0 — autoimmune physics

• CNCS‑1.0 — neuro‑clearance physics

• UBPRCE‑Onco — oncological clearance physics

• GCI‑VABC‑R+ — continuous purification physics

C‑Aire V1.0 — Caldwell Universal Auto‑Immune Reset Engine, Michael Victor Caldwell Mr.

Defensive Publications Series

C‑AIRE v1.0 is an open‑hardware multi‑physics benchtop reactor engineered to study autoimmune cascade collapse in synthetic immune‑tissue phantom models. It unifies:

• Acoustic standing waves

• Monodisperse microbubble cavitation

• Non‑thermal RF destabilization

• Electrokinetic DC alignment

• Gyroid microfluidic vortex flow

• Magnetophoretic debris extraction

• High‑speed telemetry (10 kHz)

• Deterministic thermal safety interlocks

inside a temperature‑locked PEEK‑1000 chamber.

All mechanical, electrical, fluidic, and operational parameters are fully specified so any lab can fabricate, assemble, and test a working prototype directly from this document.

Caldwell Neuro-Clearance Super-Engine (Cncs-1.0) A Unified Multi-Physics Research Reactor For Non-Thermal Clearance Of Neuro-Toxic Aggregates In Synthetic Tissue Phantoms, Michael Victor Caldwell Mr.

Defensive Publications Series

Current neurodegenerative research lacks an integrated benchtop engine capable of simulating the mechanical, electrokinetic, and acoustic parameters required to clear proteinaceous aggregates (Tau tangles, Amyloid-$\beta$ oligomers, and $\alpha$-Synuclein fibrils) from dense extracellular matrices.

CNCS-1.0 fills this gap by coupling acoustic streaming, resonant microbubble shear, amplitude-modulated radiofrequency destabilization, and electrokinetic transport into a single, temperature-locked PEEK-1000 micro-vortex chamber. The system reduces simulated Interstitial Fluid Pressure (IFP) from $25\text{ mmHg}$ down to $\le 6\text{ mmHg}$ in tissue phantoms while driving unidirectional magnetophoretic and acoustic aggregate clearance—all without exceeding a $\Delta T$ of $+0.4^\circ\text{C}$ in the biological matrix.

Gci-Ubprce-1.0 / Ubprce-Onco V1.0 — Universal Bio-Physical Resonance & Microfluidic Clearance Engine (Multi-Physics Reactor Core & Telemetry Architecture), Michael Victor Caldwell Mr.

Defensive Publications Series

This technical disclosure presents the complete design, mechanical specifications, material selection, and telemetry architecture for the GCI-UBPRCE-1.0 (UBPRCE-Onco v1.0), an open-hardware, non-clinical benchtop multi-physics microfluidic reactor engine. The platform addresses two critical operational bottlenecks in in-vitro solid tumor microenvironment (TME) phantom research: reversible Interstitial Fluid Pressure (IFP) reduction to enable deep nanocarrier transport without hyperthermic tissue damage, and continuous real-time biomarker/protein aggregate extraction without experiment interruption.

The physical chassis (ANNEX-B) consists of a monolithic Polyether Ether Ketone (PEEK-1000) chamber ($100 \times 50 \times 30\text{ mm}$) featuring an internal $12.5\text{ mL}$ Gyroid minimal surface micro-vortex flow cavity ($Ra \le 0.4\ \mu\text{m}$) …

Two-Stage Routing Of Power And Ground Nets In An Integrated Circuit Using Reinforcement Learning And Integer Linear Programming, Prateek Pendyala

Defensive Publications Series

Custom routing of power and ground nets in an integrated circuit remains a manual task, in that a layout engineer must balance irregular blockages, electromigration (EM) limits, and voltage drop (IR drop) budgets at the same time.  To address these competing pressures, a two-stage routing method divides that work between a learned global search and an exact local refinement.  In a first stage of the method, a reinforcement learning (RL) agent explores a coarse routing grid and proposes a trial route together with an approximate wire width for each segment.  In a second stage of the method, an integer linear …

Catalytic Integrated Molten-Salt Fast Reactor & Fuel Recovery System (Cimfr-1.0) —, Michael Victor Caldwell Mr.

Defensive Publications Series

CIMFR-1.0 is a self-contained, open-hardware chemical processing unit that converts clean, post-consumer polyolefin plastics (Polyethylene [PE] and Polypropylene [PP]) into drop-in industrial fuels: C5-C12 gasoline-cut hydrocarbons (target: 91+ RON) and low-sulfur off-road diesel (target: <15 ppm sulfur).

The system uses a two-stage thermal/catalytic pathway grounded in published research from Oak Ridge National Laboratory (ORNL), which demonstrated that AlCl3-containing molten salts convert polyolefins into gasoline-range branched C6-C12 alkanes at temperatures below 170°C via Lewis-acid carbenium ion chemistry — without noble metal catalysts or an external hydrogen source. This is not standard thermal pyrolysis (450°C-600°C). It is low-temperature catalytic depolymerization followed by vapor-phase zeolite upgrading. …

The Unified System Resampling Manifold: Bridging September 2026 Experimental Crises Via Substrate Phase Residue And Conformal Extension Loops, Christopher L. Eckes

Defensive Publications Series

This paper formalizes Paper 155 to construct a rigorous cross-disciplinary bridge between five discrete breakthrough vectors observed in early September 2026: (1) the massive multi-agent AI swarm mapping of the Navier-Stokes smooth existence problem, (2) macroscopic quantum gravity atomic superposition measurements, (3) sub-Landauer limit magnetic memory switching states, (4) synthetic protein self-assembly on van der Waals substrates, and (5) the direct experimental confirmation of the atomic Migdal Effect. Rather than treating these milestones as disconnected successes of competing models, we deploy the Dimensionally Extended Holographic Projection (DEHP) model to show they are parallel observable consequences of a single underlying architecture: …

Resolution Of The Grb 221009a Anomaly Via Conformal Metric-Shift Mechanics, Continuous Vacuum Strain, And High-Frequency Surface Acoustic Streaming Boundary Layer Modulation, Christopher L. Eckes

Defensive Publications Series

This paper formalizes Paper 154 within the Unified Cosmological Substrate Equations (UCSE) and Dimensionally Extended Holographic Projection (DEHP) frameworks to resolve the dual anomalies of the 300-TeV photon detected from gamma-ray burst GRB 221009A. Standard 3D physics requires ad-hoc, untestable additions—such as axion-like particles (ALPs) and Lorentz Invariance Violation (LIV)—to account for why this extreme energy packet survived a 2-billion-light-year transit through intergalactic starlight and arrived one hour later than its lower-energy counterparts.

By stripping away modern academic tribalism and separating the foundational 2D phase fluid substrate (z=0) from emergent 3D geometric projections (z>0), we prove that the 300-TeV …

Componentized Multi-Modal Presentation Generation With Coordinated Text, Image, And Audio Pipeline Orchestration, Rafael Nepomuceno, Martin Therese

Defensive Publications Series

Existing artificial intelligence (AI) presentation generation tools produce static, monolithic outputs that lack post-generation editability, forcing complete regeneration for minor modifications. Additionally, raw generative AI application programming interfaces (APIs) impose strict rate limits and require complex backend orchestration to coordinate text, image, and audio synthesis at scale. The disclosed technology provides a componentized multi-modal presentation generation platform that produces editable presentation bundles comprising structured text layouts, context-aware AI-generated imagery, and synchronized text-to-speech narration. The platform employs a coordinated pipeline with task queues and automatic retry mechanisms to manage API rate limits. Each presentation element remains decoupled and independently editable at …

The Agentic Framework For Iterative Pose And Semantic Correction In Virtual Try-On, Bhushan Garware, Darshan Barapatre, Anibha Athalye

Defensive Publications Series

Virtual try-on (VTO) systems using generative models can be a challenge. To address this, an agentic framework can evaluate and correct errors in generated VTO images. The framework may operate as an iterative feedback loop, where a multimodal evaluation module can analyze an image for pose and semantic discrepancies. Based on the analysis, a routing system can direct the task to a targeted corrective pathway, such as a full structural regeneration or a localized semantic repair, guided by a dynamic prompt engine. This iterative process of evaluation and targeted correction may continue until a set of criteria is met, providing …

Host‑To‑Fabric Context Switching Through Sideband Signaling And Wave‑Propagated Reconfiguration Of A Coarse‑Grained Reconfigurable Array, Jonathon Murphy

Defensive Publications Series

Reconfiguring a hardware accelerator through an operating system (OS) commonly costs microseconds, because kernel drivers, thread scheduling, and register‑level writes sit between the requesting program and the hardware.  This disclosure describes a system in which a compiler backend embeds routing configurations in a metadata segment of an executable and an OS‑bypass bootstrapper maps those configurations and a doorbell into user space.  A sideband control plane then carries a switch trigger to a reconfigurable co‑processor without a system call or an interrupt.  Shadow configuration planes, resident at each routing node ahead of use, enable a context switch to travel across the …

Routing Congestion Mitigation Via Hotspot Root Cause Classification And Timing-Aware Engineering Change Orders In A Reinforcement Learning Loop, Kishore R

Defensive Publications Series

Physical design flows for a system on a chip (SoC) commonly resolve routing congestion with uniform placement or routing blockages.  Such blockages can waste floorplan area and degrade timing on paths holding no spare slack.  This publication presents a congestion mitigation method that resolves each congestion hotspot into one of three physical root causes and generates an engineering change order (ECO) matched to the cause found.  A slack test protects timing, so a net with negative slack keeps a direct route while a clock latency adjustment borrows margin from a neighboring pipeline stage.  Generated directives compile into a variable file …

Tab-Level Access Control And Atomic Extraction Architecture For Multi-Tab Cloud Documents, Richa Gupta

Defensive Publications Series

The present disclosure relates to access control and data extraction within multi-tab cloudbased document platforms. Existing platforms enforce file-level permissions in an all-or-nothing manner, granting collaborators access to every tab within a document. Extracting individual tabs requires manual copy-paste operations into separate documents. The disclosed architecture introduces tab-level virtual sandboxing that selectively renders authorized tabs while masking unauthorized tab nodes from a user's viewport and client-side document object model. A tab copyextraction feature parses and clones tab content into a new, editable cloud document while preserving the original tab. An atomic extract-and-purge operation transactionally clones a selected tab to a …

Automated Clock Sink Load Balancing Across Multi-Tap H-Tree Regions Via Adaptive Block Coordinate Descent, Kishore R

Defensive Publications Series

Clock tree synthesis for a system on a chip can distribute a clock signal through an H-tree that feeds several tap regions.  Balanced timing calls for each rectilinear clock region to carry a comparable share of a load product formed from total distance and sink capacitance.  Reaching that balance over a non-binary grid has historically consumed hours of manual trial and error, in part because live queries against a physical design database respond slowly.  To address these limitations disclosed is a method that caches sink coordinates and capacitance values in memory, anchors a two-by-two base grid, and injects supplemental boundary …

A Knowledge Graph And Machine Learning Framework For Relationship-Aware Risk Intelligence In Enterprise Networks, Akash Dhure

Defensive Publications Series

A knowledge graph and graph neural network framework is proposed herein to replace flat, entity-by-entity infrastructure risk reports with a relationship-aware view of how risk emerges across configuration, software, hardware, topology, and other operational dimensions. The framework preserves relationship types during representation learning, so that risk arising through an entity's relationships is distinguished from risk recorded on the entity itself. The learned representations are composed into a prioritized remediation ordering, and a language model translates the resulting findings into clear, operator-readable narratives bounded to the supplied facts. The result is a repeatable, scalable, and explainable workflow that surfaces at-risk entity …

Loci: A Heat-Decaying, Goal-Conditioned Memory Architecture For Long-Horizon Ai Agents — With Imagination Engine, Circuit Breaker For Recursive Rumination Prevention, And The First Documented Case Of Sustained Human-Ai Co-Invention Via Persistent Memory, Arko Sanyal, Independent Research

Defensive Publications Series

AI agents fail over time for three reasons: their memory fills with stale history, they re-process the same goals in loops, and injected information corrupts what they know. LOCI solves all three. LOCI assigns every memory fact a heat score that decays over time by tier — critical facts survive 30 days, routine facts 3 days, nothing is ever deleted. Facts are placed across hardware tiers: the most important live in GPU memory during inference, the rest wait in RAM or on disk until needed. When an agent's goal changes, the decay rates shift — facts relevant to the current …

Depoarch: Physics-To-Architecture Modeling And Mitigation Of Thin-Film Deposition Non-Idealities In Advanced Multicore Processors, Gopi K. Tummala

Defensive Publications Series

As semiconductor fabrication scales toward atomic dimensions in sub-3 nm gate-all-around (GAAFET) and complementaryFET (CFET) architectures, physical non-idealities in thin-film deposition increasingly govern chip performance, energy efficiency, and long-term reliability. Traditional computer architecture research has long abstracted the underlying silicon fabric as a set of deterministic, planar geometries characterized by nominal resistance-capacitance (RC) parasitics, treating process variation strictly through empirical statistical abstractions such as Random Dopant Fluctuations (RDF) and sub-wavelength Line Edge Roughness (LER). In reality, the physical mechanisms of Chemical Vapor Deposition (CVD) and Physical Vapor Deposition (PVD) impart severe, deterministic spatial gradients and microscopic structural flaws that break …

Mitigating Multi-Scale Variability In Datacenters: In-Situ Physical Sensing, Proactive Thermal-Cooling Co-Management, And Symbiotic Virtualization, Gopi K. Tummala

Defensive Publications Series

As semiconductor manufacturing scales past the 32 nm threshold toward atomic-scale devices, physical variability has emerged as a paramount challenge threatening computing efficiency, system predictability, and hardware longevity in warehouse-scale datacenters. Nanoscale device scaling introduces severe process variations—such as Random Dopant Fluctuations (RDF) and Line Edge Roughness (LER)—which manifest at the architectural level as a 30% dispersion in core operating frequencies and up to a 10× disparity in sub-threshold leakage power. Compounding these static manufacturing anomalies, datacenters encounter profound dynamic environmental variability, driven by localized heat fluxes exceeding 100W/cm2 , ambient temperature fluctuations (35◦C to 45◦C in containerized and economizer-cooled …

Galois-Q: High-Throughput Finite-Field Microarchitectures For Non-Binary Qudit Qec, Qldpc Syndrome Decoding, And Fault-Tolerant Cryptanalysis, Gopi K. Tummala, Ashwin Alapati, Ram Awatar

Defensive Publications Series

Fault-tolerant quantum computing (FTQC) is undergoing a paradigm shift from conventional 2-level qubits toward higher-dimensional d-level qudits (d = q = p m) and asymptotically efficient quantum Low-Density ParityCheck (qLDPC) codes. Non-binary qudits dramatically increase physical quantum information density and reduce cross-talk, while qLDPC codes achieve macroscopic code rates and distance with orders-of-magnitude fewer physical qubits than surface codes. Concurrently, faulttolerant quantum cryptanalysis (such as Shor’s algorithm for discrete logarithms over binary elliptic curves) demands massive reversible modular arithmetic over Galois fields F2m. However, both quantum error correction (QEC) decoding and reversible arithmetic face a severe classical computational bottleneck: processing …

Q-Razor: A Variation-Tolerant, Speculative Classical Control Microarchitecture For Cryogenic Fault-Tolerant Quantum Error Correction, Gopi K. Tummala

Defensive Publications Series

Fault-tolerant quantum computing (FTQC) requires classical control processors to execute quantum error correction (QEC) syndrome decoding, Pauli frame updates, and pulse orchestration within microsecond-scale physical qubit coherence windows. To resolve the catastrophic thermal and wiring bottlenecks of routing tens of thousands of microwave coaxial lines from room temperature to a dilution refrigerator, modern architectures place classical control and decoding processors at the 4 Kelvin cryogenic stage. However, 4 K cryogenic CMOS introduces an acute architectural tension: severe carrier freeze-out, amplified random discrete dopant fluctuations (RDF), and localized dynamic thermal hot spots induce up to 3× timing delay variability, while the …

Chesscore: A Reconfigurable Domain-Specific Architecture For Accelerating Adversarial Game-Tree Search And Heuristic Learning, Gopi K. Tummala

Defensive Publications Series

Adversarial game-tree search—exemplified by classical zerosum games of perfect information such as Tic-Tac-Toe and Chess—represents a foundational benchmark for artificial intelligence and combinatorial optimization. However, executing recursive minimax algorithms with α-β pruning on generalpurpose von Neumann microprocessors suffers from crippling architectural bottlenecks: branch misprediction rates exceeding 30% during search cutoffs, serialized legal move generation, deep recursion stack thrashing, and high-latency memory stalls during transposition table lookups. This paper presents ChessCore, a reconfigurable domainspecific hardware architecture designed for high-throughput adversarial tree search and heuristic learning. Grounded in an architectural lineage originally prototyped on a resourceconstrained Xilinx Spartan-II FPGA (XC2S50 TQ144) using …

Authoring Drone Camera Moves In An Rtk-Georeferenced 3d Gaussian Splat: Clearance-Certified Waypoint Missions And Survey-Anchored Post-Production Camera Export, Matthew D. Judson

Defensive Publications Series

A method is disclosed in which a real-world site is photographically captured by an uncrewed aircraft (or ground platform) carrying survey-grade GNSS (RTK) positioning; reconstructed as a photorealistic three-dimensional scene representation (such as a 3D Gaussian splat) in a metric frame bound to an Earth-fixed geodetic datum; and then used as the authoring environment for camera moves, such that a keyframed, cinematically parameterized virtual camera path composed inside the reconstruction is (a) validated and compiled into a machine-executable flight mission that a real aircraft flies at true coordinates, (b) certified for obstacle clearance against a conservative geometric over-approximation derived from …

Hexatile: A Scalable Heterogeneous Honeycomb-Tiled Manycore Architecture With Decoupled Multi-Plane Interconnects And Adaptive Hardwalls, Gopi K. Tummala

Defensive Publications Series

Tiled manycore architectures established a modular paradigm that conquered the global wire-delay wall by decomposing monolithic processors into replicated, network-connected compute elements. Early academic prototypes, such as the MIT Raw microprocessor, and commercial implementations, including Tilera TILE64, TILEPro64, and Tile-Gx 100, proved the viability of pipelined scalar operand networks and 2D mesh on-chip interconnects. However, scaling tiled architectures beyond 100 tiles toward the multi-thousand-tile horizon encounters four crippling bottlenecks: (1) the Cartesian Diameter and Hop-Count Wall in 2D Manhattan meshes, which incurs severe routing latency and packet contention; (2) the Technology Utilization and Dark Silicon Wall, where uniform homogeneous tiles …