Digital Commons Network^™

Multi-Agent Pipeline For Category-Specific Factuality Calibration Using Conformal Inference, Chenyin Gao, Jiaqian Yu, Aniruddha Rao

Defensive Publications Series

A challenge in deploying generative models can be the occurrence of factual inaccuracies, particularly when attempting to maintain consistent reliability across diverse information categories. A disclosed technology describes a multi-agent pipeline that can quantify and calibrate the factual reliability of generated content. The system may operate as a black-box process where specialized agents can parse source material, generate categorized claims, and score their correctness. An evaluator agent can then apply category-specific conformal inference to filter claims that may not meet a defined statistical confidence level. This approach can provide a mechanism to manage the factuality of model outputs by providing …

Fdms‑2.0 — Field‑Domain Multi‑Sensor Mapper & Environmental State Observatory A Synchronized, Multi‑Physics Environmental Measurement And Anomaly‑Detection Instrument For Scientific Research, Structural Monitoring, Wildfire Precursor Detection, Hvac Diagnostics, And Multi‑Domain Environmental Mapping., Michael Victor Caldwell Mr.

Defensive Publications Series

FDMS‑2.0 is an open‑hardware, FPGA+ARM‑based environmental observatory capable of simultaneously measuring eight physics domains:

• Thermal

• Acoustic

• Infrared

• Vibration

• Optical spectral

• Airflow

• Electromagnetic field

• Low‑frequency EM antenna

All domains are sampled in parallel, timestamped at microsecond resolution, and fused into a unified environmental frame. FDMS‑2.0 establishes a baseline environmental model, computes an Environmental Stability Index (ESI), and detects anomalies only when multiple physics domains deviate simultaneously, eliminating false positives.

FDMS‑2.0 is fully buildable using off‑the‑shelf components, reproducible wiring, open firmware, and compact ASCII diagrams. It integrates optionally with other Caldwell research inventions (CMHRE‑Ω1.0, CUDRE‑1.0, VETI‑4.0, MMRA‑2.0, ONRS‑2.0, VMR Titan‑2.0, CNG‑Loop, URES‑2.0) …

Automatic Elevation Brake And Fall-Safety Locking Mechanism For Height-Adjustable Patient Support Tables, Anonymous

Defensive Publications Series

Described herein is an automatic fall-safe braking system for a height-adjustable patient support table that uses a scissor-lift mechanism for elevation. The disclosed system integrates a braking mechanism into the table elevation structure to automatically prevent unintended downward motion when operating power is removed or an unsafe condition occurs. The purpose is to prevent uncontrolled table descent during sudden power loss or service operations, without requiring any manual intervention from an operator or service engineer. The system mounts a braking mechanism directly on a scissor shaft. In some embodiments, the braking mechanism comprises a spring-set, electromagnetically released brake mounted directly …

Semantic Consistency Verification For Hedged Ai Inference Requests, Durga S. Kala, Tomer Rabani, Chenming Cao, Sreekanth Kanichetty, Sowmya Mothekani

Defensive Publications Series

A method includes receiving, in response to a common input transaction, a first inference response generated by a first inference stack and a second inference response generated by a second inference stack. The method includes generating a first vector embedding based on semantic content of the first inference response and a second vector embedding based on semantic content of the second inference response. The method includes determining a divergence measure between the first vector embedding and the second vector embedding. The method includes determining whether the divergence measure satisfies a semantic consistency criterion. The method includes, in response to determining …

An Integrated, Doctor-Reinforced Ai Healthcare Ecosystem:, Amey Krishna Solkar

Defensive Publications Series

Here's the abstract from DP-2026-HLTH-001:

"This publication discloses an integrated, not-for-profit healthcare technology ecosystem comprising seven complementary AI-assisted subsystems: (1) an AI clinical intake and differential-diagnosis assistant, (2) a generic and accessible medicine alternative finder, (3) an AI-coordinated emergency transport dispatch layer, (4) a personalized food and nutrient deficiency analysis system, (5) a crowd-sourced food adulteration and quality repository, (6) a mental health longitudinal outcomes research engine, and (7) a drug and food combinatorial hypothesis engine. The subsystems share patient context, a common outcome dataset, and a unified governance model under which artificial intelligence operates in a strictly supervised, doctor-reinforcing …

Autonomous Cryogenic Two-Stage In-Loop Sealing Of Microdefects Using Circulating Nanocapsulated Agents (Actis), Volodymyr Kotegov

Defensive Publications Series

Operation of large-scale cryogenic installations—particle accelerators, fusion reactors, space propulsion stages and quantum systems—demands continuous maintenance of leak-tightness in coolant and liquefied-gas circulation loops. Conventional methods for locating and repairing microleaks through intergranular pores of structural materials and microcracks in welded joints require complete shutdown of equipment, prolonged thermal recovery of isolated sectors and external mechanical intervention.

This publication presents a method of Autonomous Cryogenic Two-Stage In-Loop Sealing (ACTIS) in which the working cryogenic fluid itself serves as the carrier medium for functional nanocapsules. The ACTIS method relies on thermodynamic, mechanical, and electro-inductive triggers operating in a dual-stage sequence. Upon …

On-Chain Reconstruction Of Ipfs Content Identifiers From Evm-Resident Content-Addressed Data, Ryley Ohlsen, Lindsay Gilbert, Mathew Etre

Defensive Publications Series

A method for computing, entirely within an EVM-compatible smart contract, the IPFS content identifier (CID) that corresponds to data already stored on-chain in a content-addressed form. The method reconstructs canonical IPFS UnixFS / dag-pb DAG structures from on-chain bytes under a fixed import profile and derives a CIDv1 that is byte-identical to what an off-chain IPFS implementation would compute for the same content under the same profile — without any off-chain computation, oracle, or trusted party.

Awh‑Ω4.0 — Adaptive Hyper‑Arid Atmospheric Water Engine Open‑Hardware Research Invention For Hyper‑Arid Atmospheric Water Harvesting With Modular Mof Cartridges, Solar Regeneration, Closed Vapor Condensation, And Radiative Cooling License: Cern‑Ohl‑P V2.0 (Open Hardware, No Patents), Michael Victor Caldwell Mr.

Defensive Publications Series

AWH‑Ω4.0 is a builder‑ready, research‑mode atmospheric water engine designed for hyper‑arid climates (3–15% RH). It uses metal–organic framework (MOF) sorbents (MOF‑303, MOF‑801, and future composites) to adsorb water vapor from extremely dry air, then regenerates the sorbent using solar thermal energy and a thermal battery, routing desorbed vapor through a closed condenser loop to produce liquid water.

The system is explicitly engineered as an open‑hardware research platform, not a commercial product. It defines:

• Full geometry and dimensions for sorbent cartridges, intake, condenser, and thermal subsystems.

• Exact MOF mass per cartridge and structured contactors to minimize pressure drop.

• Nighttime adsorption / …

  ---

  Go to article

Autonomous In-Loop Sealing Of Microdefects In Cryogenic Systems Of Particle Accelerators, Fusion Reactors And Space Technology Using Circulating Nanocapsulated Agents, Volodymyr Kotegov

Defensive Publications Series

Operation of large-scale cryogenic installations—particle accelerators, fusion reactors, space propulsion stages and quantum systems—demands continuous maintenance of leak-tightness in coolant and liquefied-gas circulation loops. Conventional methods for locating and repairing microleaks through intergranular pores of structural materials and microcracks in welded joints require complete shutdown of equipment, prolonged thermal recovery of isolated sectors and external mechanical intervention.

This publication presents a method of autonomous in-loop sealing in which the working cryogenic fluid itself serves as the carrier medium for functional nanocapsules. The method relies on thermodynamic, barometric, mechanical and electro-inductive triggers. When the nanostructured suspension passes through a microdefect into …

Method And System For Dynamic Trust Orchestration In Payment Networks, Pranjal Gautam, Sakshi Goyal, Divya Jain

Defensive Publications Series

A method (500) for dynamic trust orchestration in payment networks is provided. The method (500) includes receiving (505) data pertaining to a payment event associated with a payment transaction occurring within a payment network, identifying (510) a plurality of entities associated with the payment event from the received data. The method (500) further includes configuring (515) a relationship graph at a graph database with nodes representing the plurality of entities and edges representing relationships among the plurality of entities. The method (500) further includes extracting (520), transaction features, historical features, lifecycle features, and graph-context features from the relationship graph. The …

Automated Analysis Of Advertising Coverage Gaps And Taxonomic Expansion Opportunities, N/A

Defensive Publications Series

An inefficiency in digital advertising may arise when campaigns do not cover a range of products on an advertiser's digital properties (e.g., a website or mobile application), a discrepancy that can be challenging to identify manually. Systems and methods are described that may act as an orchestration engine to programmatically address such discrepancies. A system can programmatically harvest inventory from an advertiser's digital property, retrieve active campaign data from an advertising account, and map both data sets to a common taxonomy to identify potential coverage gaps. The system may also enrich these findings with external market data and suggest semantically …

Dynamic Adaptation Of In-Memory Data Structures For Session-Specific Workloads, Abirami Sukumaran

Defensive Publications Series

Systems and methods are described for a polymorphic in-memory data store that can dynamically adapt its physical structure on a per-session basis. Some applications may experience performance bottlenecks from rigid, static in-memory data structures that may not be well-suited for certain dynamic workloads. The described technology can analyze real-time indicators, such as incoming data patterns and executed query types, to help determine a suitable memory layout. An adaptive engine can then transition the physical representation of the data between different formats, such as key-value, columnar, document, or vector-indexed structures. This approach may allow the in-memory data representation to align with …

Mitigating High Central Processing Unit (Cpu)-Induced Link Aggregation Control Protocol (Lacp) Flapping In Large-Scale Bundles, Anthoni Rajanikanth Jasti

Defensive Publications Series

Large-scale data center and enterprise networks frequently employ Link Aggregation Control Protocol (LACP) to aggregate multiple physical interfaces for redundancy and bandwidth. However, high central processing unit (CPU) utilization can disrupt LACP operations, causing interface flapping and network instability, especially when fast LACP timers and many virtual local area networks (VLANs) are configured. A mitigation technique is proposed herein that uses the LACP Out-of-Sync bit to coordinate interface unbundling during high-CPU events, thereby reducing repeated timer-driven flapping and supporting orderly recovery.

Architectural And Mathematical Foundations Of Transform Coding In Image Compression: From Multiresolution Wavelet Pyramids To Hardware-Accelerated Discrete Wavelet Transform Silicon Engines, Gopi K. Tummala

Defensive Publications Series

As distributed compute platforms and high-resolution imaging pipelines scale, uncompressed raw visual data presents a severe transmission bandwidth and memory storage wall. A 24-bit 1024 × 1024 uncompressed frame consumes 3.0 MB of storage, requiring over 7 minutes to transmit across legacy 64 Kbit/s ISDN channels, whereas a 10 : 1 compression reduces this footprint to 300 KB and sub-6-second latencies. This research paper presents a comprehensive mathematical, algorithmic, and microarchitectural evaluation of foundational transform coding paradigms—spanning Discrete Cosine Transform (DCT), Karhunen-Lo`eve Transform (KLT), Fractal Iterated Function Systems (IFS), Spline Regularization, and Multiresolution Discrete Wavelet Transforms (DWT). We formulate the …

Numerical Validation Of An Aperiodic Bi-Ionic Magnetic Nozzle Architecture For High-Field (48.38 T) Continuous Electromagnetic Acceleration., Daniel Schramm

Defensive Publications Series

This disclosure details the multi-physics finite element verification and structural co-optimization of a continuous-operation, meter-scale electromagnetic propulsion architecture. The design utilizes a bi-ionic, aperiodic golden-ratio magnetic nozzle configuration. Computational evaluation confirms structural, thermal, and electrical viability under a continuous 48.38 Tesla field at a 1 Megawatt load.

Key closed-loop validation metrics include:

• Structural Containment: Implementation of a 32% CuNb/high-strength metal interleaving fraction successfully attenuates peak local magnetic stresses (1.630 GPa), yielding a secure 1.40x safety margin against an 80.0 MPa epoxy delamination threshold.

• Electrical Viability: The co-optimized winding pack sustains an engineering current density of 227.5 A/mm², maintaining the critical …

  ---

  Go to article

Ccwe‑Ω4.0 — Unified Atmospheric‑Hydrodynamic‑Plasma Clean‑Water Engine A Builder‑Ready, Multi‑Physics Pfas/Microplastic Mineralization Reactor For Global Deployment, Michael Victor Caldwell Mr.

Defensive Publications Series

The CCWE‑Ω4.0 is a fully integrated, open‑hardware clean‑water engine designed to permanently destroy PFAS, microplastics, pathogens, hydrocarbons, and recalcitrant contaminants using a unified multi‑physics architecture. Unlike conventional filtration systems that trap contaminants on media, CCWE‑Ω4.0 performs true molecular mineralization, eliminating toxic waste streams entirely.

CCWE‑Ω4.0 integrates:

• Atmospheric water harvesting (GCI #272 Hyper‑Arid MOF Engine)

• Hydrodynamic cavitation (VMR Titan‑2.0)

• Acoustic vortex concentration (Vortex Sentinel AV‑1)

• Cold‑plasma PFAS destruction (Sentinel‑AV‑1‑2.0)

• Gyroid thermal buffering (Forgecell Prime‑2.0)

• Gyroid cooling & resilience (UGCRM‑1.0)

• Multi‑modal resonance mapping (MMRA‑2.0)

• Cognitive multi‑physics stabilization (CMRS‑1)

• Thermoacoustic gradient amplification (CRFG‑1R‑2.0)

• Atmospheric resonance alignment (ARPN‑2.0)

• Hydrology mapping (GRHN‑2.0)

• Off‑grid energy harvesting …

  ---

  Go to article

Multi-Probe Dehp Validation Protocols For Jwst, Euclid, And Roman Space Telescope Telemetry Data, Christopher L. Eckes

Defensive Publications Series

Modern cosmological observations are encountering acute foundational tensions within the standard ΛCDM framework. These include the 5σ Hubble Tension, anomalously mature galaxy populations at high redshifts (z > 10) revealed by the James Webb Space Telescope (JWST), and large-scale cosmic anisotropy dipoles detected in radio and infrared surveys. This white paper presents a formal empirical framework to evaluate the Dimensionally Extended Holographic Projection (DEHP) model against these anomalies. By treating space-time as an emergent bulk generated by a two-dimensional boundary information layer, DEHP treats cosmic expansion as a manifestation of viscoelastic substrate mechanics rather than an intrinsic vacuum metric expansion. We …

Token Prediction Using Grammar Estimation, Shivam Mohan

Defensive Publications Series

A system for token prediction using grammar estimation includes a sequence intake component configured to receive a token sequence and organize the token sequence into ordered progression units retaining positional and temporal structure. A context conditioning component associates the token sequence with contextual dimensions comprising user-specific interaction patterns, session-local behavior, and environmental state. A grammar estimation component maintains a state-transition graph comprising states representing progression conditions inferred from observed token behavior and transitions accumulating evidence of how token sequences evolve. A state merge component computes a merge score for state pairs based on token co-occurrence frequency, similarity of transition neighborhoods, …

Adaptive Real-Time Ml Monitoring, Drift Detection, Cross-Environment Psi, And Hyperscale Authorization For Multi-Rail Payment Fraud Prevention, Durga S. Kala, Jun Xu, Ankana Sonowal, Yidong Fu

Defensive Publications Series

A computer-implemented system for monitoring machine learning model input feature health in a payment transaction authorization network. The system includes a distributed audit log extraction pipeline configured to ingest ML model scoring event records, filter records by model identifier and issuer processor affiliate identifier, and flatten nested JSON request and response structures into columnar format. The system includes a transaction-type partitioning module configured to split the flattened dataset into per-transaction-type subsets corresponding to different authorization pathways. The system includes a numerical feature statistics engine configured to compute distributional statistics for numerical scoring features. The system includes a population stability index …

Adaptive Media Interruption Placement Using Causal Analysis Of Audience Engagement, Joanna Piega, David Lepkowski, Szymon Socha

Defensive Publications Series

A challenge in the field of digital media distribution relates to static interruption placements, such as advertisements, which may be determined without considering evolving audience engagement data. This approach can result in interruptions during periods of low viewer interest, potentially increasing session abandonment. Systems and methods are described that can address this by utilizing a quasi-experimental statistical framework to analyze audience engagement data. The framework may compare viewer abandonment rates between sessions where an interruption was presented and sessions where an interruption was not presented for the same temporal location. This comparison can yield a causal abandonment penalty metric for …

System For Automated Cross-Feed Auditing Of E-Commerce Product Data, N/A

Defensive Publications Series

In multi-channel e-commerce, merchants may utilize separate product data feeds, for instance, for online and local inventory, which can lead to data conflicts and inconsistencies that may not be detected by single-feed validation checks. A system for automated, cross-feed auditing can address these potential issues. The system can integrate and cross-reference data from multiple sources, including online, local, and historical data repositories, to create a more comprehensive view of product data. It may use analytical modules to identify price or availability discrepancies between feeds, diagnose reasons for suppressed promotional badging based on time-series rules, and suggest missing product attributes based …

Autonomous Orchestration Of Trend-Driven Advertising Using Semantic Product Matching, Jasbeer Arora, Anurag Tripathi, Gurvinder Singh

Defensive Publications Series

Digital advertising may be challenged by latency in manual workflows and a semantic gap between fast-moving cultural trends and structured product data, potentially resulting in missed commercial opportunities. A described system can address these challenges using an automated, multi-agent orchestration workflow. For example, a surveillance agent can identify breakout trends from various data streams, such as social media feeds or search queries. These trends may then be semantically expanded using a large language model. The expanded description can be converted into a vector embedding to perform a similarity search against a vector database of a product catalog, which may identify …

Grounded Multi-Agent Ai System For Automated Publisher Analysis And Remediation, N/A

Defensive Publications Series

Digital publishers may face challenges in interpreting complex performance data to identify technical issues or monetization opportunities. The disclosed technology describes a system that can utilize a multi-agent artificial intelligence architecture to ingest and process varied data sources to detect anomalies. An orchestrator agent may delegate analysis to specialized sub-agents, which can use a retrieval-augmented generation engine grounded in a corpus of verifiable data to perform root cause analysis and formulate solutions. The system can present findings in a narrative format and may include an action engine to facilitate remediation, assisting users in converting performance data into actionable strategy and …

Late-Stage Semantic Disambiguation Of Multi-Hypothesis Automatic Speech Recognition In Digital Voice Platforms, Mubaraq Mishra

Defensive Publications Series

This publication describes a system and methodology for improving speech recognition accuracy in smart home devices by transitioning from early-stage transcription biasing to late-stage semantic disambiguation. Conventional automatic speech recognition architectures prematurely resolve phonetic ambiguities by selecting only the single highest-ranked transcript, which often fails when processing niche media requests, regional dialects, or voice commands in noisy environments. The described framework preserves a complete set of alternative transcript hypotheses, packages them with their respective confidence metrics into a contextual container, and forwards them to a downstream semantic processing engine. By analyzing the phonetic relationships among these hypotheses alongside contextual signals …

Plain-Language Guide To The Systemic Progress Regeneration Protocol (Sprp), Volodymyr Kotegov

Defensive Publications Series

This document serves as an operational commentary and plain-language implementation guide for the Systemic Progress Regeneration Protocol (SPRP). It translates the core theoretical constraints and validation criteria of the protocol into actionable workflows for independent developers. The guide focuses on the practical mechanics of maintaining tech lineage, executing isolation audits, and establishing onboarding steps within Phase 0 engineering domains.

Junction-Stabilized Graphene Aerogels For Cryogenic Insulation And Lightweight Radiation Shielding, Volodymyr Kotegov

Defensive Publications Series

Long-duration deep-space missions and reusable cryogenic stages require insulation that remains dimensionally stable at liquid-hydrogen temperatures, adds very little mass, and provides at least modest attenuation of ionizing radiation. Conventional polymer foams become brittle and crack after repeated cryogenic cycling in vacuum. Multi-layer insulation is thermally efficient but offers almost no radiation protection and loses performance when compressed.

This paper describes a graphene aerogel whose open-cell network is locked at the sheet junctions by in-situ formed metallic nano-clusters. Two practical variants are defined: a lower-metal thermal-primary grade optimised for minimum conductivity and maximum recovery, and a higher-metal radiation-enhanced grade that …

Multilingual Entity Mention Detection Using A Late-Fusion Transformer And Named-Entity-Recognition Architecture With Script-Aware Post-Filter Verification, Kaustav Saha, Shwetank Raghuvanshi, Batool Haider, Kliton Andrea, Chenhui Hu, Subramanian Srinivasan, Ashwin Kesireddy, Zscaler

Defensive Publications Series

A system and method for detecting entity mentions in multilingual text are disclosed. A shared multilingual transformer encoder produces a pooled representation from a tokenized representation of an item of text. A named-entity-recognition (NER) feature extraction module produces an NER feature vector from the item of text and a configured entity list, the NER feature vector including exact-match, fuzzy-similarity, entity-overlap, organization-entity, position-score, and mention-frequency components. A late-fusion concatenation module concatenates the pooled representation with the NER feature vector after and external to encoder layers of the shared multilingual transformer encoder to form a joint representation. A classification head produces an …

Multi-Signal Fusion Architecture For Semantic Leak Detection In Large Language Model Inputs, Kaustav Saha Saha, Shwetank Raghuvanshi, Batool Haider, Kliton Andrea, Chenhui Hu, Subramanian Srinivasan, Ashwin Kesireddy, Zscaler, Inc.

Defensive Publications Series

A system detects semantic leakage of contextual information in a prompt to a large language model (LLM) by extracting, in parallel from a reference context and a user input, a cosine similarity signal from multilingual sentence embeddings, an entity overlap signal from extracted named entities, and a number match signal from extracted numerical patterns. Fusion weights are selected from a plurality of language-tier weight profiles based on a detected language of the user input, and a fused score is computed as a weighted combination of the signals. The reference context and the user input are routed onto a fast trigger …

Artificial Intelligence Driven Insights And Predictions For A Television Application, Neetesh Mittal, Vivek Kushwaha, Vivek Yadav, Saravanan Santhamoorthy Theckyam

Defensive Publications Series

Traditional data analytics for television applications rely on manual, dashboard-centric models that track historical user activity. These traditional data analytics for television applications fail to explain underlying user behaviors or to correlate multiple simultaneously launched features with core business objectives. To address these limitations, the disclosed technology describes an autonomous analytical system that utilizes a distributed client-server architecture that hosts a hierarchical multi-agent backend built on an orchestration framework. A supervisor agent coordinates specialized domain engines to execute targeted statistical, performance, and viewership analysis algorithms over read-only television application databases. Communication under strict End-User Credential (EUC) zero-trust security and under …

Caldwell Cmhre-Ω1.2 Open-Hardware Modular Thermal Stabilization, Direct-Liquid-Cooling, And Waste-Heat Utilization Research Platform, Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell CMHRE-Ω1.2 is a modular open-hardware research platform for evaluating direct liquid cooling, thermal stabilization, phase-change buffering, low-grade thermoelectric energy recovery, gyroid-inspired flow distribution, localized vortex/impingement heat-transfer enhancement, and adaptive thermal control.

CMHRE-Ω1.2 uses a controlled 100–500 W electrically metered copper heater block as a chip analog. A primary, conventional liquid-cooling loop is always available to remove the full thermal load safely. Optional research modules operate in bypassable side streams so no experimental energy-recovery module becomes a mandatory thermal bottleneck.

The platform incorporates selected practical elements from the posted CIERS-TEG v3.0 disclosure: detailed metering and control architecture, copper-foam-enhanced PCM, …