Digital Commons Network^™

The Time-Locked Gift Tag: Qr- And Nfc-Addressed Gift Labels With Scheduled Reveal Of The Message, The Sender And A Pledge Of Time, Thon Ly

Defensive Publications Series

We specify a QR- or NFC-addressed physical gift label that replaces a handwritten gift tag with a scanned, time-locked reveal: the sender, recipient and message fields are each independently sealed and released at a chosen date or occasion. Scanned before that moment, a web page shows the structure of the gift (which sealed fields exist, with a countdown) but not their content; re-scanning the label at or after the moment unlocks the fields without an app install. Beside the message, the label carries a pledge of the giver's own time to the recipient, rendered as an offer of presence with …

Provenance-Carrying Retrieval: Hash, Timestamp And Source Binding For Retrieval-Augmented Generation, Thon Ly

Defensive Publications Series

We specify a retrieval-augmented generation (RAG) response format in which every document a retrieval server returns to a language model carries a provenance envelope binding the served text to a cryptographic hash of a named, fetchable source file, at least one timestamp independent of the server (an RFC 3161 time-stamp authority, an OpenTimestamps Bitcoin anchor, or a transparency log), and, where available, a persistent identifier (DOI). The envelope also carries a scope statement declaring what the hash covers relative to the served text (whole source, excerpt, or derived rendering), an explicit "no anchor" statement rather than silence when none exists, …

The Reciters' Protocol: Content Integrity Verification, Completeness Manifests And Variant-Preserving Text Retrieval Transposed From Oral Canon Transmission, Thon Ly

Defensive Publications Series

This disclosure specifies content integrity verification and provenance mechanisms for text retrieval systems that serve quoted passages to machine readers, transposed from a multi-recension oral canon transmitted for roughly two millennia without an authoritative copy (the Pāli Buddhist canon).

A conformance endpoint accepts a claimed quotation, compares it with the served multi-recension corpus, and returns one of a closed set of dispositions on the claim, including a conforming variant with its witness, each paired with a prescribed next action and by construction none on the claimant; closed disposition sets are anticipated by OCSP; the composition is disclosed. A separated completeness …

Offshore Ai Data Center Platform — Version 2.0 (Oadc-P V2.0) Self-Sustaining Marine Compute Infrastructure With Closed-Loop Resource Recovery, Ocean Plastic Feedstock, And Maritime Ai Revenue, Michael Victor Caldwell Mr.

Defensive Publications Series

OADC-P v2.0 is an offshore platform hosting 10–100 MW of AI compute that:

• Generates its own power from proven offshore wind + wave + solar

• Cools chips directly with seawater via vortex-enhanced TPMS cores

• Produces fresh water as a marketable revenue product (RO + condensation)

• Collects and converts ocean plastic debris into backup fuel (CIMFR-1.0)

• Processes brine concentrate into mineral products (near-zero discharge)

• Is future-proofed for quantum AI compute via deep cold seawater precooling

• Serves maritime AI inference to the shipping industry at 1–5 ms latency

The result is a platform whose non-compute revenue streams (water + ocean plastic fuel …

Timing-Aware Path Computation And Clock Selection For Ptp In Sr-Mpls And Srv6 Based Networks Using Flex-Algo, Anonymous

Defensive Publications Series

Disclosed is a framework for timing-aware path computation and clock source selection for Precision Time Protocol transport in Segment Routing networks. New IS-IS node and link sub-TLVs advertise timing quality into the routing control plane, the node sub-TLV carrying constant time error, telecom clock type, and clock class, and the link sub-TLV carrying packet delay variation. A dedicated Flexible Algorithm instance for PTP backhaul uses cumulative constant time error as its optimization metric and excludes any link whose packet delay variation exceeds a configured threshold. A prefix segment identifier or SRv6 locator mapped to that algorithm, anchored on the grandmaster …

Automatic Discovery And Refinement Of Tool Catalogs From Conversational Data, Joshua Huang, Steve Yuan, Bryan Horling, Mahdi Zafarmand

Defensive Publications Series

Systems and methods are described for generating a tool catalog for conversational agents from historical conversation data, which can address challenges associated with manual catalog creation. The described technology can use a multi-stage process that may begin with a discovery engine, which could leverage a large language model, to analyze conversations and extract potential tools with their respective inputs and outputs. A subsequent refinement stage can employ a critic-actor architecture to iteratively identify and address potential logical issues in the extracted catalog, such as duplicate functions or unresolved parameter dependencies. This process can result in a dependency-aware tool catalog with …

Tranche-Based Datacenter Deployment Using Temporary Life-Safety Barriers And Secure Access Tunnels, N/A

Defensive Publications Series

A large multi-row data hall is divided, both logically and physically, into tranches. The tranches are bounded by temporary barriers that separate an active tranche serving customers from an adjacent construction tranche inside the same hall. Each tranche receives its own electrical lineup and cooling capacity, built to production standards. The delivered tranche maintains full life safety and security, while the remaining unfinished spaces operate under relaxed requirements, so capacity reaches the customer in proportion to build progress rather than only after the full hall is complete. The temporary barriers incorporate penetration panels that pass cable tray, piping, and other …

System And Method For Asynchronous Network Simulation Telemetry, Topological Environment Remediation, And Generative State-Machine Security, N/A

Defensive Publications Series

An automated, state-aware network orchestration and evaluation platform provides asynchronous security exercise assessment and environment management. The platform initializes isolated virtual guest environments by executing guest agent software that dynamically generates unique boot-time cryptographic artifacts and sends them to a centralized evaluation engine to dynamically compile a grading rubric. User submissions are evaluated using a dual-pipeline generative language model configured with a strict schema contract that concurrently determines semantic equivalence and detects structural anomalies or prompt injection attempts. Trainee progression across simulation objectives is tracked using a topological directed acyclic graph that triggers automated hypervisor commands to mutate guest environment …

An Experimental-Verification Program For The Corpus Mechanisms Of The Register Of Anticipated Ai Failure Modes, Volodymyr Kotegov

Defensive Publications Series

Companion document to the Register of Anticipated AI Failure Modes.

Purpose: to turn each of the register's 12 domains from a general statement that "experimental verification is needed" into a concrete, honestly bounded plan — stating what is testable now, by what means, at what stage, and what is categorically not testable by a small group at present.

Program design: (1) each proposed experiment carries an explicit evidence-class label, separating results that can move a domain’s Mapping status from results that only confirm a mechanism’s internal logic in isolation; (2) Phase 0 is limited to the one item in this …

Register Of Anticipated Ai Failure Modes, Volodymyr Kotegov

Defensive Publications Series

This register collects twelve classes of AI failure that are documented today, in published research or in reproducible experiments, at a level of generality above any single system in the author's corpus. It exists because the author's own architecture documents — Verifiable Trust, the Charter of Procedural Standing, GVAA, BRAA, Physical Oracles, and the Local Multi-Scale Contour specification — each address a subset of these failure classes from within their own scope, and no one of them shows how the classes interact across system boundaries.

The existence of this register reduces the probability that a failure class is simply forgotten. …

Method And System For Multi-Model Consensus Embedding Based Authorization In Payment Transactions, Durga S. Kala, Jun Xu, Benjamin Nativi, Om Pande

Defensive Publications Series

A method (500) for multi-model consensus embedding based authorization in payment transactions includes receiving (505) an authorization request associated with a payment transaction, obtaining (510) a plurality of outputs from a plurality of models, determining (515) inter-model relationship characteristics among the plurality of outputs including agreement, disagreement, partial consensus, or decision divergence, generating (520) a multi-model consensus embedding comprising a vector representation of a joint inference state associated with the payment transaction, storing (525) the atomic transaction record in memory (135), determining (530) a transaction risk assessment during processing of a real-time transaction authorization requests based on the atomic transaction …

Real-Time Predator Detection And Child-Centered Intervention In Multi-Platform Messaging: A System Architecture, Aubrey L. Douglas

Defensive Publications Series

We describe a system for detecting adult predatory behavior directed at minor users across five mobile messaging platforms (Discord, Instagram, Snapchat, SMS/MMS, Roblox) via on-device passive capture on the minor's own Android device. The system introduces three novel techniques not previously documented in either academic literature or commercial parental-monitoring products: (1) cross-platform stylometric fingerprinting that links blocked adult accounts to newly-created accounts by writing style rather than platform identifiers; (2) in-context grooming pedagogy delivering real-time named-tactic warnings to the child at the moment of manipulation, using non-punitive framing and one-tap protective action; and (3) three-stream ingestion with concealment-as-evidence semantics, where …

Offshore Ai Data Center Platform — Version 3.0 (Oadc V3.0) Self-Sustaining Marine Compute & Ecosystem Intelligence Infrastructure Closed-Loop Resource Recovery + Planetary Early-Warning Node, Michael Victor Caldwell Mr.

Defensive Publications Series

OADC v3.0 is a single offshore platform that is simultaneously:

1. A 10–100 MW AI compute facility (seawater-cooled, renewable-powered)

2. A planetary early-warning node (seismic, tsunami, contamination, marine heatwave)

3. A marine ecosystem management system (eDNA census, whale collision prevention, IUU enforcement, coral bleaching prediction)

4. A resource recovery plant (fresh water, ocean plastic → fuel, brine minerals)

5. A maritime AI service provider (1–5 ms inference to shipping and fishing)

No existing platform on Earth performs more than two of these five functions. The closest analogs — China's HiCloud Shanghai UDC (24 MW, May 2026), Panthalassa Ocean-3 (wave-powered, $1B valuation), Seatrium/Mocean 30 MW FDC, …

Dynamic Exposure Weighting Based On Motion Heat Map Analysis, Adam Grant Mccauley

Defensive Publications Series

Proposed herein is a motion-adaptive automatic exposure (AE) system that dynamically reshapes an image signal processor (ISP) weighting table using aggregate motion heat maps. Motion data accumulated over a configurable temporal window identifies high-activity regions, such as roadways or crosswalks, and converts those regions into higher exposure weights, while static regions such as sky or water receive lower weights. A minimum baseline weight remains in low-activity regions to preserve forensic visibility if an unexpected event occurs. Unlike center-weighted, spot, matrix, or object-detection-based metering, the system learns where activity occurs without requiring classification of a person, vehicle, package, or other object. …

Fault-Tolerant Concurrent Data Retrieval And Processing Engine Using Acyclic Dependency Graphs, Davide Cazzin, Valentin Mercier

Defensive Publications Series

A lightweight, embedded computational graph engine provides fault-tolerant, concurrent data retrieval and processing across heterogeneous data backends. Operational tasks and data pipelines are modeled as execution nodes organized within a Directed Acyclic Graph (DAG). Programmatically defined task dependencies are dynamically resolved using topological sorting, allowing independent nodes to execute concurrently via a thread pool executor. Data payloads, represented as state mappings, are transferred between completing nodes and downstream dependent nodes to facilitate automated aggregation, joining, and transformation. Granular fault tolerance is achieved by classifying execution nodes as either critical or non-critical. When a non-critical node fails, the failure is caught, …

Persistent Delegated Communication Brokering System And Method For Individuals With Intermittent Communication Access, Eric Zavesky

Defensive Publications Series

A system and method for persistent delegated communication brokering on behalf of individuals with intermittent communication access is disclosed. The system captures a requester's outreach objectives during a brief communication session and structures them into a persistent obligation object that survives session termination, continuing to execute outreach, information gathering, and action coordination after the requester's communication channel has closed. The system resolves non-dialable contact references through multi-source discovery with contextual confidence scoring and a trust-tiered no-auto-contact gate. A multi-modal outreach agent conducts autonomous outreach with mandatory self-identification, optionally employing biometric cloning of the requester, and continuously classifies contacted-party responses into …

Adaptive Semantic Chunking With Header-Weighted Embeddings, Theo B. Aguilar, Dan Hu

Defensive Publications Series

Methods related to retrieval-augmented generation are disclosed.  A computer system can receive a requestor query.  The computer system can identify one or more context data elements (comprising e.g., “chunks” of documents) that are relevant to the requestor query based on header-weighted embeddings.  The computer system can generate a prompt by combining the one or more context data elements and the requestor query.  The computer system can generate a requestor query response based on the prompt and cause the requestor query response to be provided to the requestor.  The computer system can additionally collect various performance metrics, which can be used …

Predictive Workload Scheduling Using Multi-Domain Telemetry And Reliability Scoring, N/A

Defensive Publications Series

A system integrates out-of-band physical infrastructure telemetry into software-layer workload orchestration for predictive scheduling. A multi-domain telemetry aggregator ingests and normalizes data from disparate sources, including host hardware via baseboard management controllers, facility infrastructure sensors, and network switches. A predictive reliability engine processes this aggregated data using a machine learning or heuristic model to generate a quantitative reliability score for each compute node. The engine asynchronously updates these scores in a high-speed, in-memory cache to ensure low-latency access for the scheduler. Upon receiving a new workload request, a scheduler plugin queries the cache to filter out nodes with scores below …

Dynamic Glare Reconstruction For Adaptive Displays, Hp Inc

Defensive Publications Series

A system and method for dynamic environmental light reconstruction and dual-directional optical compensation are disclosed. The system utilizes a multimodal fusion engine combining a dual-engine vision processor (macro-facial shading and micro-corneal reflection) with a hardware hinge-angle sensor. By accurately reconstructing a 3D environmental light vector and correlating it with real-time device kinematics, the system simultaneously predicts physical glare points on the display and direct flare incidents on the camera lens. The system then executes localized display compensation based on a joint gaze-glare probability map, while predictively tuning camera image signal processor (ISP) parameters to ensure optimal visual readability and video …

Security Operations Decision Attribution And Reasoning Trace Evaluation Framework For Autonomous Security Triage And Investigation Agents, Vidya Gopalakrishnan, Benjamin Walter, Nicholas Smith, Ruowen Wang, Jeffrey Bickford

Defensive Publications Series

This publication describes the Security Operations (SecOps) Decision Attribution and Reasoning Trace framework, an integrated ground-truth construction pipeline and evaluation harness for benchmarking autonomous security triage and investigation agents at enterprise scale. Evaluating security agents presents two fundamental challenges: first, historical human closure notes are inherently sparse, unstructured, and omit implicit investigative steps, making it difficult to systematically codify expert reasoning ground truth. Secondly, conventional verdict-based metrics fail to detect when an agent arrives at the correct conclusion through flawed logic, coincidental data lookups, or deficient reasoning paths. The SecOps Decision Attribution and Reasoning Trace framework aims to resolve both …

Automated Proactive Software Defect Discovery And Verification Framework, N/A

Defensive Publications Series

Software maintenance in complex repositories benefits from automated mechanisms capable of identifying defects prior to production failure or manual reporting. This publication describes an automated system designed for the proactive discovery and verification of software vulnerabilities across large-scale source code repositories. By integrating local compute pre-processing, structure-aware code parsing, and graph-augmented semantic retrieval, the framework optimizes code representation for large language model analysis. Potential software defects are identified through automated vulnerability hypotheses, followed by the synthesis of executable test cases designed to reproduce the hypothesized conditions. The framework enforces a strict verification phase where candidate test cases are executed in …

Hardware-Rooted Integrity Attestation For Ai Agents, Niranjan M M

Defensive Publications Series

The proposal introduces a hardware-rooted integrity attestation framework for AI agents that enables a platform to verify that a live agent instance is genuine, untampered, and running in an approved execution state before it is trusted with sensitive actions. By measuring agent-specific artifacts such as binaries, models, plugins, policies, and runtime composition, and binding that measured state to a trusted platform identity and freshness evidence, the system enables real-time and continuous trust decisions for AI agents across physical and virtual environments. In some embodiments, the attestation pipeline is further strengthened using a hardware quantum entropy source to improve nonce generation, …

One-Tap Emoji Actions On Chat Messages, Qiujun Zhao

Defensive Publications Series

A system is described herein that turns an emoji reaction on a chat message into a no-typing instruction to an artificial intelligence (AI) agent while preserving the emoji's ordinary emotional use. A quick tap adds the normal reaction, whereas a press-and-hold, or an equivalent action affordance, causes the AI agent to read the reacted message and its context, interpret the emoji intent, and select a concrete action suited to the content. The same emoji can therefore troubleshoot an error in one message and fact-check a claim in another. When the confidence score satisfies a configurable threshold, the action runs automatically …

Robust Nozzle Calibration For Homogeneous Line Printing, Hp Inc

Defensive Publications Series

Current ground-printing technology uses a printhead equipped with nozzles to deposit ink onto a surface. Several printhead parameters, such as pressure and firing frequency, can be configured, directly influencing the printing result and image quality. Printing line weight is one outcome of this configuration and is particularly relevant for ground-printing robots, whose primary purpose is the printing of construction layouts on the floor. However, line weight may vary depending on environmental conditions, printhead lifecycle and health, floor substrate characteristics, and other operational factors. These sources of variability can make it difficult to achieve a consistent printed output across different deployment …

Improving Web Accessibility Using On-Device Models, Gudipati Tarun

Defensive Publications Series

Modern web environments typically present navigation barriers for assistive technologies when web content lacks explicit programmatic semantics. A system can utilize an intermediating browser layer configured to execute a multimodal edge machine learning model entirely on a device of a user. The system may scan Document Object Model (DOM) structures to extract layout contexts and generate synthesized structural attributes. The generated attributes can be dynamically injected into an accessibility tree of a browser. Such an approach may enable real-time local remediation of interactive elements, embedded frames, tabular data, and visual media without communicating information to a remote server, thereby preserving …

Spatial Management And Visualization Of Digital Agents Within A Mixed Reality Environment, Jason Mayes

Defensive Publications Series

Orchestrating a digital agent typically relies on a software interface and a two-dimensional graphical user interface, making it difficult to visualize a current state or a process of the digital agent. A disclosed system may be configured to manage and visualize a digital agent within a mixed reality environment. The system may present a visual representation of the digital agent, such as an avatar, an abstract process indicator, or a branded entity, positioned at a spatial location within a physical space. Additionally, the system can project a virtual screen or a visual indicator into the physical environment to display data …

The Predictive Scoring For Dynamic Payment Routing And User Interface Adaptation, Sree Sitamahalakshmi Moguluru

Defensive Publications Series

In the field of digital payment processing, transaction routing systems can operate reactively by identifying performance degradation within a payment processor's network after user transactions have failed. A predictive payment orchestration framework can utilize a machine learning inference engine to generate a real-time authorization probability score for a transaction across multiple available payment processors. This score can be calculated using real-time telemetry signals from the processors and the specific metadata of the pending transaction. Based on the calculated scores, an execution engine can dynamically route the payment to a selected processor or signal a user-facing interface (e.g., a web application, …

Dataless Communication Protocol, Amartya Koner

Defensive Publications Series

The present disclosure relates to data communication, and in particular to exchanging information between computerized systems using a dataless communication protocol. A community of financial institutions agree to adopt the dataless communication protocol and receive a dataless communication black box, which causes a local database to be created at each financial institution for storing data and corresponding offsets. A leader financial institution is periodically selected from among the community by way of a leader selection process, and selects a base offset and a frequency for changing the base offset, which are distributed to the community as schema updates and interval …

Generating Content With Cryptographically Verifiable Atomic Facts, Sandeep Kumar

Defensive Publications Series

Systems and methods are described that can use a decoupled architecture to separate data generation from data presentation. A data generation layer can extract atomic facts from source documents and apply a per-value cryptographic token to each fact, creating a verifiable link to its origin using, for example, hashes and digital signatures. A verifiable presentation layer can then use a gatekeeper mechanism to cryptographically validate each fact's token before rendering the fact. This approach can enable granular, per-fact verification at the point of presentation, which may reduce the likelihood of displaying unverified data.

A Transactional Provenance Framework For Causal And Counterfactual Debugging In Multi-Agent Ai Systems, Niranjan M M

Defensive Publications Series

Multi-agent AI systems are increasingly used to perform complex, high-impact tasks by coordinating multiple autonomous or semi-autonomous agents with distinct roles such as planning, execution, validation, safety enforcement, and tool invocation. While such systems offer significant flexibility and scalability, their distributed and emergent behavior makes them difficult to understand, debug, and govern, particularly when failures manifest as subtle misbehavior rather than explicit errors.

The proposal presents a transactional provenance framework for causal and counterfactual debugging in multi-agent AI systems. The framework captures the evolution of a multi-agent system as a set of verifiable, causally linked transactions that record agent state …