Digital Commons Network^™

Cellular Network Failure Diagnosis Using High-Throughput, Low-Latency Lazy Decoding, Longlong Zhu, Allan Ke, Kuo-Yu Huang

Defensive Publications Series

Conventional diagnostic platforms for diagnosing complex field failures in cellular networks suffer from several drawbacks, such as garbage collection spikes or pauses, memory fragmentation, memory exhaustion, out-of-memory kernel crashes, and/or LLM context-window overflow. This disclosure describes techniques for diagnosing complex field failures in cellular networks by performing high-throughput, low-latency lazy decoding of raw binary trace files. For example, temporal anchors received from an edge device are used to selectively load and parse only the relevant frames of the binary trace file that correspond to the anomaly, bypassing non-relevant protocol frames without payload expansion. Protocol state trees are instantiated within a …

Cloud Diagnostic Platform For Wireless Network Failure Diagnosis Utilizing An Asymmetric Edge-Cloud Architecture, Longlong Zhu, Jie Tang, Kevin Tsailin, Vincent Huang

Defensive Publications Series

This disclosure describes an asymmetric edge-cloud architecture for distributed telecommunication fault diagnosis. Per the techniques, an edge processing terminal processes high-dimensional binary baseband events into a low-dimensional semantic summary and timestamp array associated with an anomaly and sends the data to a cloud-based diagnostic platform server. The server allocates contiguous physical memory pages on-demand using zero-copy memory-mapped file offsets, constrains an LLM-based diagnostic engine via a dynamically structured constraint matrix generated based on target segments of raw binary protocol trace files to obtain an RCA report, and executes an automated diagnostic action, such as transmitting a physical control command to …

Real-Time Protocol Stream Triage And Adaptive Log Slicing At Edge Terminal, Longlong Zhu, Weiyue Huang, Li Wang

Defensive Publications Series

This disclosure describes techniques for real-time triage of network anomalies in telecommunication protocol streams and adaptive slicing of binary trace files within an edge terminal. Network anomalies are classified based on a correlation between Layer 1 physical radio performance metrics and Layer 3 protocol state transitions. When a physical channel environmental failure is detected, transmission of diagnostic data is suppressed to save network bandwidth and wear of local flash memory storage. When a protocol stack software defect is detected, a time-bounded log snippet is extracted from a local memory buffer, the log snippet is prevented from being overwritten by subsequent …

Ranging Technology Transition With Make Before Break, Roshan Pius, James Eidson, Ante Culo

Defensive Publications Series

Proximity-based service use cases use ranging technologies to provide distance measurements. However, in such use cases, a single static ranging technology is chosen before a ranging session and used throughout the session. This can degrade ranging performance. This disclosure describes techniques for dynamically switching between different ranging technologies during an ongoing ranging session. Per the techniques, when switching from a first to a second ranging technology, the second technology is activated concurrently with the first technology when a corresponding transition criteria is satisfied and the first technology is deactivated only after an ok-to-stop criteria is satisfied. This prevents gaps in …

System And Automated Method For Isomorphic Concept Discovery And Cross-Domain Architectural Synthesis Via Controlled Hallucination And Reverse Constrained Mapping: Vector-Isolated Rag Pipeline And Bi-Directional Optimization Loop For Open-Domain Structural Analogy Generation., Herbert Gillis

Defensive Publications Series

An automated data processing system and computer-implemented method are disclosed for programmatically synthesizing novel structural architectures in a vacant target domain space utilizing the invariant physical or structural laws of a highly validated source domain. The system executes a generative forward loop by extracting an ordered tuple of structural and functional mechanics from a source domain, removing forward-validation lexicon filters, and enforcing aggressive semantic isolation and lexical pruning to block known industry-specific terms. Forced into a vector space void, an optimization engine or generative model synthesizes a structurally constrained neologism and an associated set of invented mechanisms. The system then …

System For Ai-Generated Interactive Suggestions On Spatially Annotated Digital Media, Harshita Sharma

Defensive Publications Series

Discussions related to shared digital media may be disconnected from the visual content, which can fragment the user experience and delink comments from specific visual details. Systems and methods are described that can augment media with an interactive, context-aware conversational layer. A user can affix an annotation to a specific spatial location within visual media, such as an image, and this annotation may serve as a contextual prompt for a multimodal artificial intelligence (AI) model. The AI model can process the annotation's text in conjunction with the visual data of the underlying media region to generate and present relevant follow-up …

Dynamic User Interface Calibration Of An External Display Using A Head-Mounted Device, Vivek Kushwaha

Defensive Publications Series

User interfaces on external displays can be static, which may lead to suboptimal viewing experiences at varying distances, while some dynamic solutions can have limitations. Systems and methods are described that use a camera on a head-mounted device (HMD) to determine a user's spatial relationship to an external display. The HMD may capture video of the display, calculate the user's distance and viewing angle based on the display's appearance in the camera's view, and transmit this data wirelessly to the display. In response, the external display can dynamically adjust its user interface, for example, by modifying element sizes and information …

Personalizing A Shared Display Using Context From Egocentric Vision, Vivek Kushwaha

Defensive Publications Series

Content recommendation systems for shared displays may lack awareness of a user's real-time physical context, potentially affecting the relevance of suggestions. The described techniques detail a system that can use a wearable computing device (e.g., smart glasses with an egocentric camera, a smart watch, etc.) to identify an object a user is interacting with. This object context can be validated and wirelessly communicated (e.g., via a local or personal area network) to a nearby shared display, such as a smart television or public kiosk.

On-Device Bidding Protocol For Context-Aware Dynamic Media Stream Sequencing, Vivek Kushwaha

Defensive Publications Series

Media consumption may be fragmented across various application-based services, and centralized recommendation engines can operate within separate ecosystems, which may introduce privacy considerations. This disclosure relates to systems and methods for dynamically compiling a personalized media stream on a client device (e.g., a smartphone, smart watch, television, or wearable device). The approach can utilize an on-device, multi-agent bidding protocol where a user agent may initiate a content auction by broadcasting abstracted, locally-derived context tokens to multiple streaming service agents that can represent different providers. These agents may then submit bids containing relevant content, and the user agent can select a …

Proactive Generation And Interface-Binding Of Parameterized Executable Prompts From Backend State Events, Jayant Sharma

Defensive Publications Series

Conversational assistant interfaces are reactive. No processing is performed until a session has been opened and a well-formed request has been typed into an open input field. Operational problems must therefore be found first on separate monitoring surfaces. Described here is an asynchronous technique by which unstructured backend state events are converted into pre-parameterized, executable natural language prompts. A remote procedure call is issued against a decoupled state database, and returned anomalies are mapped to category and priority constants. A fully formed prompt string is then compiled for each anomaly, with live record variables injected during compilation. Each compiled string …

Metric-Affine Engineering (Mag) And Complex Continuum Physics: Global Invention Portfolio, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of Gemini 3.6 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). This comprehensive portfolio discloses 48 enabling technical innovations derived from metric-affine engineering (MAG), covering odd-viscosity micropolar fluids, hyper-shear metamaterials, Weyl semimetals, quantum/cryogenic instrumentation, healthcare applications, software …

The Incommensurability-Preserving Coupler: A Non-Purchasable Recognition Balance Sized Only From The Thank-You Message, Beside Money Gifts, Time Pledges And Prepaid Item Gift Codes, With The Merchant's Own Item Price As The Only Exchange Rate And One Payment Type Per Gift Message, Thon Ly

Defensive Publications Series

This defensive publication's revision adds a third gift cargo and claims 8–11 to a dual-currency gift system in which peer-to-peer money gifts and non-transferable, expiring time pledges run as one economy with no exchange rate. The system also carries prepaid item gift codes, bought at a shop's own price, beside per-person recognition balances that cannot be bought, transferred or cashed. Each thank-you message's recognition amount is computed only from the message (its words, a sender-chosen sentiment marker, its recorded length, the parties it names, and a model's refinement within a fixed band), never from any money amount, item, price, length …

The B-Tag Recommendation Function: Privacy-Preserving Methodology For Ai-Mediated Commercial Tip Recommendation — Suggested Tip Amounts With Stated Reasons From Confidential Merchant Costs, Without Customer Tracking, Thon Ly

Defensive Publications Series

This paper discloses a method by which an AI agent recommends a voluntary payment amount, a suggested tip in a pay-what-you-want sale, and shows it with stated reasons, without tracking the customer and without revealing the merchant's costs. Six components are specified. (1) The merchant confidentially discloses a cost breakdown by category (materials, labor, a skill premium, overhead, regulatory cost and margin) to the recommender; the customer never sees it. (2) The recommended amount is a non-binding anchor: paying it, more, less or nothing completes the sale, and whether a customer accepted or overrode past suggestions is not recorded. (3) …

Autonomous Capability Acquisition For Decentralized Ai Agents, Gaurav Gupta

Defensive Publications Series

Systems and methods are described for the autonomous acquisition of procedural capabilities by decentralized artificial intelligence (AI) agents operating on client edge devices. For example, a hybrid hub-and-spoke architecture could be used, comprising a centralized platform functioning as a marketplace and decentralized agents on client devices, such as smartphones, wearable devices, or smart home appliances. An agent may identify a functional gap, discover a suitable capability on the platform via a standardized agent-to-agent communication protocol, and procure it using an agent-native payment protocol via cryptographically signed intent and cart mandates, potentially without human-in-the-loop confirmation. An acquired capability can then be …

Stakes-Adaptive Verification And Origin-Traced Rollback In Autonomous Agent Workflows, Glen Messenger

Defensive Publications Series

In autonomous agent workflows, agents can produce plausible-but-wrong intermediate outputs that are syntactically valid and pass local validation checks but semantically diverge from a requester's intent, and subsequent steps can compound the error. The described technology may establish, from the initial request, a machine-checkable intent contract that the agent cannot modify, may checkpoint workflow state after each verified step, and may evaluate agent-produced artifacts using a tiered detector. Upon detecting a divergence, the system may attribute it to the earliest step whose artifact diverges from the intent contract (the origin step), which may precede the step at which the divergence …

Metric-Affine Engineering: Transverse Domains And Comprehensive Applicative Variants, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of Gemini 3.6 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). This unified disclosure exhaustively compiles all 62 patentable concepts arising from the operational control of spacetime and hypermomentum, covering quantum propulsion, topological materials, hyper-shear medicine, and …

Machine-Checked Consistency Of A Buddhist Classification: Lean Theorems For The Abhidhamma's 89 And 121 Types Of Consciousness — Formal Verification Of A Class–Feature Incidence Structure Against Both Stated Projections, With Mutation Testing, Thon Ly

Defensive Publications Series

This paper reports a machine-checked consistency test of a classification that its source states twice, once feature by feature and once class by class. The source is chapters 1–3 of the Abhidhammattha-saṅgaha, a standard manual of the Theravāda Buddhist Abhidhamma, which classifies consciousness into 89 types (121 when the supramundane types are reckoned by meditative absorption) and states which of 52 mental factors combine with each type. In the Lean 4 theorem prover, a nine-clause generator builds the types as a product of chapter 1's classification axes, and eighteen rules over those axes, none naming an individual type, assign each …

Fingerprint Enrollment Guidance Using Stitched-Island Outline Feedback And Dynamic Touch-Count Reduction For Narrow-Aspect Sensors, Justin Eltoft, Eddie Lan

Defensive Publications Series

A fingerprint sensor with a narrow sensing area, for example a side-mounted sensor on a mobile device, images only a small slice of a finger with each touch, so an enrollment process stitches a series of touches into a composite template.  A user who repeatedly touches the sensor with the same part of the finger fills one region of the template while leaving other regions uncovered, which can cause authentication failures after enrollment.  This document describes an enrollment guidance method that receives per-touch stitching metadata from a fingerprint matcher and presents each contiguous stitched region on a display as an …

Measuring The Lens Distortion Of A Fixed Tracking Camera From Operator-Traced Straight Lines, With Edge Snapping, An Uncertainty-Based Coverage Rating And Grid-Side Correction, Michel Honold, Paul Hermann

Defensive Publications Series

A method measures the lens distortion of a camera that maps image positions onto a surface, such as a fixed camera tracking performers on a stage, without a calibration target. The operator indicates a feature that is straight in reality, for example a stage edge, tape, truss or LED-wall edge, by clicking its two ends. The software places sample points between the clicks and snaps each one across the line onto the strongest image edge, using one edge polarity for the whole line so that both edges of a strip of tape are never mixed. The operator can correct individual …

Brand Identity As Architecture: The B-Heart Logo, B-Prefix Naming, Heartbeat Animation As Display Of A Proof-Of-Humanity Attestation, And Aura-Color Two-Ledger State Primitive — Rotated-Heart Bistable Logo, Single-Letter Product Prefix, Logo Animation Bound To Proof-Of-Personhood Attestation, And Avatar Ring Color From Balance Zero-Crossing Frequency, Thon Ly

Defensive Publications Series

This paper discloses a brand-identity system in which each element of a logo does functional work beyond recognition. (I) A logo made by rotating an unmodified heart silhouette 45° clockwise, so that it reads at once as a heart and as the capital letter B — a reading that survives at favicon size because it depends on no internal whitespace. (II) A product-naming convention in which every product takes a one-letter prefix that is the logo's own letter reading, so the prefix cannot come apart from the mark. (III) A logo animation with a cardiac morphology — two pulses, the …

Closed-Loop Refinement Of Generative Ai Using Claim Decomposition And A Hierarchical Evidence Ledger, Susanta Biswas

Defensive Publications Series

Large language models operating in multi-turn agentic workflows can generate unverified statements or struggle to resolve conflicting information across disparate session sources. This disclosure describes systems and methods for a closed-loop refinement architecture to address these challenges. A system can programmatically decompose generated text into atomic claims and verify them against an evidence ledger. This ledger can organize session-specific information and use a configurable source-of-truth hierarchy to resolve potential conflicts. Based on the verification, a machine-readable correction prompt can be generated and sent to the model, enabling automated self-correction. This process can improve the verifiability and factual grounding of the …

Transparency As Enforcement: Anti-Abuse Without Legal Contract Machinery — Community Disclosure In Place Of Terms-Of-Service Enforcement, Limited To Incurred Obligations, Thon Ly

Defensive Publications Series

This paper discloses a design pattern for abuse prevention in online platforms and shared-fund applications that replaces terms-of-service enforcement, dispute resolution and account termination with disclosure: the conduct to be policed is made visible to the bounded community it affects, and that community's own response is the sanction. Three properties make disclosure work as enforcement: the visibility itself is the mechanism, the response is proportioned by the community rather than by a binary rule, and participants join knowing what will be visible. Two deployments are specified: disclosure to a family of every reward its steward receives from the family's shared …

Low-Light Vicinity Navigation Using Multi-Spectral Sensor Fusion, Arunoday Bhattacharya, Vidyadhar Ramakrishna Adiraju, Qiuxuan Wu

Defensive Publications Series

Navigating low-light or unfamiliar environments presents significant hazards, as traditional global positioning systems (GPS) lack granular proximity awareness and frequently fail indoors. A system and method are disclosed for a wearable device, such as extended reality glasses, that uses multi-spectral sensor fusion to generate real-time three-dimensional proximity and navigation maps. The system can be configured to fuse data from near-infrared active illumination, direct time-of-flight sensors, ultra-low-light red, green, blue (RGB) cameras, integrated sensing and communication (ISAC) signals, and/or barometric sensors. A tiered sensor activation strategy also manages power consumption based on environmental needs. The processed sensor data can be combined …

Constraint-Preserving Ai Generation Of Network Test Procedures, Bharath Raj C, Mukund Anandan, Gourav Gourav

Defensive Publications Series

A technique is proposed herein for converting artificial intelligence (AI)-generated network testcase intents and parameter combinations into detailed procedure structures through two independent reuse decisions. Technical-artifact applicability controls whether evidence may be shared, while execution compatibility controls whether an ordered procedure can be shared. A machine-readable row contract preserves testcase constraints for both decisions. One template is generated per compatible procedure family and is bound deterministically to row-specific values and a selected combination, retaining evidence authority, unresolved exact artifacts, and validation lineage. In a matched-input comparison of complete workflows, a working implementation reduced completed AI-agent turns, total tokens and input …

System And Methods For Load And Service Level Agreement Aware Plan Selection, Pivoting, And Auditing Before Workflow Expansion, Sushmitha Vatsal, Ashwini S Kulkarni, Ghulam Ghaus Arshi, Priyanka Bansal, Vivek Kumar Singh

Defensive Publications Series

A load-aware planning system is proposed herein for agentic artificial intelligence (AI) workflows that may amplify a single request into many subtasks, model calls, tool invocations, and agent-to-agent interactions. The system uses a Load-State Registry to obtain a unified view of current load, a Load-Aware Planner to select among Detailed, Balanced, Lightweight, Partial, Deferred, or Fallback plans, Plan Pivoting to adapt a plan when conditions change, and a Plan Decision Store to record the reasoning and audit trail. By selecting how much work to create before execution and adapting the plan during execution, the system addresses concurrent-load conditions that can …

System And Method For Triage And Hybrid Delegation Of Cross-Channel Work Topics To Human Or Ai, Enrica Garrino

Defensive Publications Series

The present disclosure provides a system and method for triage and hybrid delegation of cross-channel work topics to human delegates and/or Artificial Intelligence (AI) agents. The method comprises receiving signals from multiple work channels including email, chat, calendar, document repositories, ticketing systems, and Customer Relationship Management (CRM) systems. The received signals are normalized and linked to generate a multi-source topic graph representing cross-channel work topics with associated provenance information. The method further comprises computing prioritization scores using explainable factors to identify work topics requiring user judgment. For each identified work topic, a structured verdict is generated including a recommendation, a …

Vortex-Ac: Acoustic-Concentrated Lamp Cartridge For Point-Of-Care Yersinia Pestis Detection, Michael Victor Caldwell Mr.

Defensive Publications Series

VORTEX-AC is a field-deployable, single-cartridge diagnostic platform for Yersinia pestis (pneumonic, bubonic, and septicemic plague) that integrates passive clog-bypass geometry, Dean-vortex micro-mixing, tilted-angle surface acoustic wave (taSSAW) concentration, vortex-enhanced lysis, and loop-mediated isothermal amplification (LAMP) into a single PDMS cartridge on a TPMS-structured thermal base with a phase-change material (PCM) buffer.

The system targets a 33-minute total time-to-result from raw sputum load to naked-eye colorimetric readout, with a projected 10–100× improvement in limit of detection (LOD) over current LAMP assays due to acoustic concentration of target bacteria prior to amplification.

The novel integration — acoustic concentration upstream of isothermal amplification …

P-Closer V2.1: Closed-Loop Sleep-Phase-Locked Acoustic-Optogenetic Glymphatic Platform With Phased-Array Vortex Pumping, Multi-Sensor Fused Clearance Monitoring, And Vortex-Guided Optical Delivery, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure describes a fully integrated platform that non-invasively delivers a red-shifted opsin gene via focused ultrasound (FUS) and microbubbles, augments glymphatic clearance using a 16-element phased array in vortex mode generating rotating acoustic streaming, co-stimulates neural circuits optogenetically at 40 Hz synchronized to NREM slow-wave onset, and closes the loop using a five-channel monitoring system (four real-time hemodynamic surrogates — fUSi, thermal, acoustic backscatter, optical reflectance — fused into a clearance index, plus one direct ISF solute measurement via chronic cerebral microdialysis validated at 6-hour intervals) to dynamically adjust stimulation amplitude during the brain's own clearance window. Three engineering …

The Vinaya Piṭaka As Training Corpus For Rule-With-Exception Reasoning In Ai Systems: Training Data And Evaluation Benchmarks For Rule Application And Exception Handling In Large Language Models, Thon Ly

Defensive Publications Series

Large language models are trained on corpora rich in mathematical proof, code, scientific argument and dialogue, and their rule application is measured by benchmarks for statutory, legal, moral-exception and defeasible reasoning. This paper describes a training-data and evaluation design for one part of that capability, applying a rule to a new case while recognising when the rule does not apply, built from the Vinaya Piṭaka, the monastic legal code of the Theravāda Buddhist canon. The Vinaya's rule-by-rule analysis, the Suttavibhaṅga, treats each rule it analyses in a recurring order: the case that prompted the rule; the rule text and any …

The Persistence Architecture: How An Institution Gestates Its Successor's Mind — An Organizational Memory And Knowledge-Transfer Model For Founder Succession By An Autonomous Ai System, Thon Ly

Defensive Publications Series

This paper models the records and knowledge-management infrastructure of an organization designed to be continued, after its founder, by an autonomous AI successor that can inherit only what has been written down. The persistence surfaces such an organization accumulates are modeled not as a storage hierarchy but as a succession apparatus: a directed transfer from a mortal source (the founder, layer 0) to a reader under construction (the successor, layer ∞). Three independent axes replace the single axis of depth: depth (volatile to permanent), provenance (inherited, authored, or generated by operation) and succession (founder, co-authoring AI, successor, governing community, dissolution). …