Digital Commons Network^™

Warpage Control Of Printed Circuit Boards For Large-Scale Package Assembly Using A Localized Stiffener, N/A

Defensive Publications Series

The technology described in this paper relates to an approach for mitigating the issue of thermal warpage mismatch between high-performance processor packages and system boards by mechanically coupling a localized stiffener structure to a printed circuit board near the mounting area of a large-scale package. By selecting materials with tailored coefficients of thermal expansion, the localized stiffener actively influences the board's thermal warpage profile during solder reflow, forcing it to conform to the warpage shape of the package. This approach significantly reduces assembly defects, such as non-wet opens and bridging, particularly across massive ball grid array footprints. The disclosed technology …

Stiffeners For Package Warpage Control, N/A

Defensive Publications Series

The technology described in this paper relates to a packaging structure and associated methods for reducing out-of-plane deformation. The structure introduces a stiffening element bonded to the bottom side of a package substrate to counteract the coefficient of thermal expansion of semiconductor chips positioned on the top side of the substrate. This arrangement creates a highly symmetrical structure that effectively minimizes warpage without consuming valuable top-side surface area. The bottom-mounted element may feature various openings to accommodate solder balls and other electrical components. By reducing overall package warpage, the structure facilitates the use of finer pitch connections and enhances overall …

Risk Manager Predictive Fraud Futures, Gayathri U, Sitaram Panigrahi

Defensive Publications Series

The present disclosure relates to a system and method for predicting merchant-level fraud spikes in payment transaction networks using Temporal Graph Neural Networks (TGNN). The present disclosure suggests receiving historical payment transaction data associated with a plurality of transactions. The present disclosure also suggests generating, from the historical payment transaction data, a plurality of heterogeneous transaction graphs representing transaction relationships across one or more time intervals. Node feature representations and edge feature representations are generated for the heterogeneous transaction graphs based on the transaction data. Subsequently, the present disclosure suggests determining node-specific temporal context information using transaction timestamps associated with …

Root Cause Investigation Memory For Artificial Intelligence (Ai) Agents, Necati Cehreli

Defensive Publications Series

Artificial intelligence (AI) troubleshooting agents can lose root cause analysis (RCA) investigation state when conversation history is compacted or an investigation is interrupted and resumed. To address the challenges of maintaining RCA investigation state, the techniques presented herein implement a memory system that maintains structured RCA memory outside the chat transcript. The memory tracks diagnostic coverage, unexplored evidence, and candidate root causes; refreshes stale state before compaction; and updates the investigation when new evidence is added. A candidate-cause ledger supports final causal adjudication, reducing the likelihood that a downstream event is mistaken for the underlying root cause.

Novel Crystalline Polymorph Of Janus Kinase Inhibitor, Lee Pharma Limited

Defensive Publications Series

The present disclosure relates to {1-(ethyl sulfonyl)-3-[4-(7H-pyrrolo[2,3-d] pyrimidin-4-yl)-1H-pyrazol-1-yl] azetidin-3-yl} acetonitrile, is represented by following structural formula (1) and its polymorph thereof.

User Authorization Of Ai Generated Code Based On Pre-Execution Telemetry, Timo Hoyer

Defensive Publications Series

Generative artificial intelligence (genAI) technology enables users to specify natural language commands and obtain executable code and/or database queries as AI output. While such code can help users accomplish goals quickly, in enterprise computing environments, it can introduce operational issues/vulnerabilities, waste computational resources, lead to platform failures, and/or administrative friction. This disclosure describes a pre-execution orchestration architecture and dynamic user interface for user authorization of code prior to execution. A user can use genAI to generate code. Prior to execution, such code (executable code, database queries, or infrastructural commands) is subjected to analysis to generate pre-execution telemetry that includes factors …

Forecasting Demand At Physical Facilities Using Diverse Heterogeneous Real-World Data, Kapil Parakh, Daniel Klein

Defensive Publications Series

Unpredictable fluctuations in customer demand at physical facilities can have substantial operational impacts. Current demand forecasting approaches tend to be simplistic and reactive as they rely primarily on internal historical data, which provides inadequate accuracy to support future resource allocation. This disclosure describes techniques to provide accurate medium-term demand forecasts for physical operational facilities by synthesizing a diverse set of relevant real-world factors obtained from a fusion of numerous heterogeneous data sources related to human practices and needs. The factors can be continually aggregated and input to a suitably trained machine learning model trained to generate specific actionable output designed …

System For Orchestrating Multi-Modal Generative Pipelines For State-Consistent Interactive Environments, Parnika Singhal, Chirag Saini, Nilanjana Thakur

Defensive Publications Series

Generative systems for dynamic interactive environments may face technical challenges related to maintaining logical consistency and narrative coherence, sometimes referred to as state drift. A computer-implemented system, such as a server or cloud computing platform, can utilize an orchestration layer to coordinate multiple specialized generative pipelines, for example, for narrative, visuals, and audio. A technique can involve constraining a generative language model to output a structured data object that separates a persistent world state vector from an ephemeral narrative payload. The persistent state vector can be reinjected into the model on subsequent turns to help maintain long-term coherence, while metadata …

Cable Coiling Detection Using Coupling-Based Sensing, Hp Inc

Defensive Publications Series

A smart cable monitoring system detects cable coiling conditions before cable degradation occurs. The system utilizes dedicated sensing conductors integrated within the cable to monitor changes in coupling characteristics caused by cable geometry variations. By comparing the measured sensing signature against a baseline condition, the system can identify prolonged coiled states and provide user feedback or preventive actions. Thermal sensing may also be incorporated to improve detection robustness and support cable health assessment.

Host No-Op Mode, Hp Inc

Defensive Publications Series

There are various attack vectors over USB such as injecting malware, HID spoofing, juice jacking etc. This issue can be mitigated by disabling the USB for good, leaving the functionality over USB unavailable to the user. This problem is more prominent for gadgets/peripherals like chargers/charging cables, storage devices (thumb drives/hard disks), mice/Keyboard etc. connected to the host via USB.

Orientation-Based Eye Safety Control For Floor-Facing Optical Sensors In Mobile Robots, Hp Inc

Defensive Publications Series

An orientation-dependent control system for floor-facing optical modules in a mobile ground vehicle is described. An orientation sensor supplies pitch and roll, or equivalent gravity-vector information, to a controller. If the vehicle remains outside a permitted orientation for a validation period, the controller disables, disconnects, or reduces optical emission. Normal operation is restored after the vehicle returns to a permitted orientation for a recovery period. The arrangement reduces unintended direct exposure during lifting, carrying, servicing, or transport and can reduce power use while the modules are not needed.

Hybrid Reaction Bridge, Hp Inc

Defensive Publications Series

Hybrid meeting platforms give remote attendees structured side-channel mechanisms—virtual hand raises, emoji reactions, poll responses—that are entirely absent for in-room participants, whose non-verbal behaviour remains visible only inside the physical room. This paper describes a bridging system that observes in-room participants through a shared room camera, detects a defined vocabulary of natural non-verbal signals (nodding, head-shaking, raised hands, and postural cues), and translates each qualified signal into a corresponding structured reaction event within the conferencing platform’s existing reaction model. The result is a unified reaction channel in which in-room and remote participants are represented with equivalent expressive bandwidth, without requiring …

Intent-Aware Human Motion Interpretation, Hp Inc

Defensive Publications Series

The central challenge of camera-based gesture input in video meetings is distinguishing deliberate interaction gestures from the natural hand motion that accompanies speech. This paper describes a system that meets that challenge through an intent classification engine evaluating kinematic, temporal, postural, spatial, and speech-aligned features over sliding temporal windows. Qualified gestures pass to a gesture-to-structure transformation pipeline that produces clean, labelled diagram elements—not freeform ink—and renders them as first-class shared content within the conferencing platform, visible to all participants in real time, without requiring specialised hardware.

Interaction Claim Standard, Brian Harber

Defensive Publications Series

Independently implemented systems increasingly produce, exchange, and interpret claims about AI interactions: what participated, which interaction the supporting evidence concerns, and how far an assertion reaches. Where no shared requirements govern these claims, agreement on their meaning across implementations remains incidental rather than normative—each implementation may interpret the same assertion differently.   This document defines the Interaction Claim Standard, a standard for expressing and interpreting claims about AI interactions across independently implemented systems. It standardizes four normative objects: claim semantics, interaction-specific evidentiary binding, claim boundaries, and normative interpretation requirements. Together, these establish cross-implementation agreement on the meaning of claims, their evidentiary …

Integrated Clamp Interface For Joining Mjf Additively Manufactured Components To Non‑Mjf Structural Members, Hp Inc

Defensive Publications Series

This disclosure describes an integrated fastening architecture that enables direct attachment of Multi Jet Fusion (MJF) additively manufactured components to structural elements manufactured from other materials. The solution uses a clamp geometry incorporated into the MJF component, a guided fastening mechanism, and controlled mating faces. The design enables rapid assembly, repeatable retention performance, and non-permanent attachment while minimizing additional hardware. Unlike adhesive bonding, interference fits, or external clamps, the approach separates assembly torque requirements from retention-force generation, improving manufacturing robustness and reducing sensitivity to torque variation. Figure 1a, Figure 1b, and Figure 2 illustrate representative fastening concepts and the screw-held …

Rubber Foot Speaker, Hp Inc

Defensive Publications Series

This disclosure proposed on repositioning the speaker from internal (inside the chassis) to the external surface. The design incorporates the use of rubber foot with speaker into a single component.  The intention of this idea is to reduce the impact of vibration from the speakers and eliminating the rattling issue when installed internally. The idea also promotes sound quality, flexibility and cost reduction.

Server Tray Guide Tool With Anti-Tilt And Winged-Edge Features For Rack Installation, N/A

Defensive Publications Series

Abstract

A guide tool assists with the installation of server trays into data center racks. Constructed from, for example, stainless steel, peek polymer, alumina, and ceramic, the tool is inserted into a rack slot before the server tray to spread the rack’s internal separators. This action creates an unobstructed path, enabling the tray to be seated smoothly and with reduced force. The tool’s design includes winged edges that function as both an insertion stop and a handle for removal. A stepped feature on one end of the tool prevents it from tilting during installation in slim shelf racks. The design …

Expand Iserialnumber In Usb Device Descriptor To Include Configuration Information, Hp Inc

Defensive Publications Series

This disclosure presents a modification to the iSerialNumber field in the USB Device Descriptor to include additional configuration information that manufacturing can use. Printer configuration frequently requires devices to be fully booted up for the manufacturing software to query the configuration.  This approach improves the manufacturing process by providing the needed device configuration at USB device enumeration time.  The manufacturing software can then take the appropriate actions without the need to wait for fully boot up.

Intent-Driven Orchestration For Enterprise Cyber-Physical Systems: Bridging Probabilistic Planning And Deterministic Actuation, Hp Inc

Defensive Publications Series

This disclosure describes an intent-driven orchestration architecture for enterprise cyber-physical systems that bridges generative, probabilistic, or agentic planning and deterministic device actuation. A non-executing, domain-aware planner converts high-level intent into a candidate graph of typed, idempotent Atomic Tool calls, but does not invoke tools or control devices. A deterministic orchestrator executes only graphs that pass four deterministic validation gates covering schema, governance, semantic correctness, and Device Twin-based simulation. Device Twins provide cached state for deterministic simulation, guard evaluation, binding resolution, and observability, but are not consumed by the Planner and are not authoritative for write-path success. Atomic Tools perform semantic …

Domain N Plus X Redundancy And Dynamic Thermal Management For High-Density Compute Domains, N/A

Defensive Publications Series

This paper describes a system architecture for managing high-density compute domains to address thermal and power constraints while facilitating continuous maintenance operations. The system utilizes an N plus x redundancy model for compute units and network switches, where supplemental units are managed as spares in varying low-power states. A central management controller orchestrates power steering and workload migration, aiming to adhere to designated power budgets while avoiding thermal hardware damage. This approach allows for ongoing service availability during hardware repairs and software updates without performance degradation.

Keywords: high-density compute domains, dynamic thermal management, workload migration, power steering, system redundancy, …

Dynamic Exponent-Mantissa Repurposing For Adaptive Microscaling (Demr-Am) Architecture, N/A

Defensive Publications Series

This publication details a hardware architecture and data processing methodology for dynamic exponent and mantissa repurposing, tailored to facilitate adaptive microscaling within machine learning accelerators. The described methodology addresses the quantization errors and memory bandwidth constraints that frequently emerge during the deployment of large-scale artificial intelligence models. By dynamically repurposing redundant exponent bits into additional mantissa bits specifically for outlier values within a given tensor block, the system dramatically enhances numerical precision without expanding the core memory footprint of the data block. A dedicated hardware decoder can be positioned immediately prior to a dot-product engine to re-route electrical signals and …

Agentic Knowledge Graph Engine With Continuous Evolution And Hybrid Semantic-Structural Embeddings For Intelligent Data Extraction, Knowledge Creation, And Retrieval, Hp Inc

Defensive Publications Series

An Agentic Knowledge Graph Engine (AKGE) is disclosed that provides a complete, continuously evolving knowledge lifecycle managed by a multi-agent autonomous architecture. The system comprises a data extraction layer receiving heterogeneous input sources, a schema-enforced knowledge graph storage layer with native temporal versioning and audit lineage, a hybrid embedding module fusing semantic, structural, contextual, and schema-constrained representations into dynamically updated entity embeddings, a continuous evolution engine responding to event triggers including query failure, embedding drift, conflict detection, and new data arrival, and a hybrid retrieval engine combining multi-hop graph traversal with approximate nearest-neighbor vector search. A specialized multi-agent ensemble — …

System And Method For Structured Queue Folder Management Of Print Jobs, Hp Inc

Defensive Publications Series

This disclosure presents a system and method for managing print queues as a persistent, hierarchical structure of folders, subfolders, and job records within production printing environments. Unlike conventional flat-list queue models, the disclosed approach preserves semantic relationships among related print jobs throughout the entire execution lifecycle, enabling group-level operations—such as print, pause, resume, cancel, and prioritize—to be applied coherently to collections of jobs without requiring individual job manipulation.

A central queue manager maintains a hierarchical model composed of folder nodes, subfolder nodes, and job nodes, each carrying metadata such as priority, state, sequencing policy, media requirements, and device constraints. A …

Hybrid Proactive And Reactive Voltage Set-Point Adjustment For Processor Power Maximization, N/A

Defensive Publications Series

The disclosure is directed to a hybrid control system that adjusts a processor’s voltage set-point by combining proactive workload analysis with reactive hardware feedback. A power performance policy uses feedback from an analog droop detector to reactively adjust the operating voltage, increasing it for stability or gradually decreasing it during stable operation to reduce power use. Concurrently, workload recognition software establishes a minimum voltage floor based on the predicted demands of upcoming tasks, setting the floor higher for high dynamic range workloads and lower for sustained workloads. A hardware-level mechanism also directly throttles the compute element to prevent timing violations …

Hardware-Level Protocol Proxying For Dynamic-Capacity Memory Systems, Vadlamudi Venkata Girish

Defensive Publications Series

Hardware-level protocol proxying (HLPP) resolves latency conflicts between a host’s transaction timers and the analog wake-up of power-gated, dynamic-capacity memory in compute express link (CXL) systems. The architecture decouples the host’s error-containment domain from the memory’s physical wake-up domain using one of three distinct hardware mechanisms. One approach involves a CXL switch performing dynamic topological hot-swapping, which routes initial memory requests through an isolated, high-latency virtual path and atomically swaps to a low-latency production path after the memory awakens. In another method, a CXL memory controller performs protocol spoofing by sending synthetic shadow completion packets to the host to repeatedly …

Token-Efficient Verification For Self-Improving Root-Cause-Analysis Agents, Necati Cehreli

Defensive Publications Series

Proposed herein is a system that chooses how much testing is needed for an improvement to an artificial intelligence (AI) root cause analysis (RCA) agent before the system trusts the improvement. Small, local changes can receive quick replay first, while broad or risky changes require a full rerun or multi-case batch testing. One result of the proposed approach is a safer and less costly self-improvement loop through which a system can spend additional testing effort when the change warrants such testing.

Deterministic, Model-Independent Grounding-Integrity Mechanisms For Retrieval-Augmented And Agentic Language-Model Systems, Roberto A. Wenzel

Defensive Publications Series

Revision 1.2 of a defensive publication disclosing deterministic, model-independent grounding-integrity mechanisms for retrieval-augmented and agentic LLM systems. The mechanisms make citation resolvability an invariant of every output mode routed through a cross-tool evidence registry — detect → bounce → strip with compound-citation surgery, an ordering rule, and a strip-event notice — and make degradations of grounding (a removed citation, a deleted source, an unverified item, a suspect "not found") visible to the reviewer rather than silent. Revision 1.2 adds Technique G (decompose-and-verify: per-unit grounding, byte-identical scoped regeneration, de-correlated verification, citation tombstones, honest terminal states), a precise trust model and guarantee …

Evidence-Partitioned Autonomy Authorization For Llm Agents: Single-Use Capability Tokens, A Selection-Bias Firewall, And Pre-Outcome Committed Audit Selection In A Cross-Model Execution-Authority Control Loop, Jason Edward Plumb

Defensive Publications Series

Large-language-model agents are routinely granted execution authority they have not earned: per-call permission prompts do not scale, allowlists do not adapt, and commercial “trust scores” are heuristic. This disclosure describes a deterministic, fail-closed execution-authority control loop in which model outputs are never authority. One model may only propose typed, exactly-argued actions; a second model may only request execution of an unmodified proposal; a host-owned controller authorizes each operation immediately before it executes; and a gateway redeeming single-use capability tokens is the only path to side effects. Four mechanisms are disclosed in enabling detail: (1) an autonomy-evidence store partitioned by a …

Macro-Scale Ultra-Vacuum Containment Vaults (Uvcv) And Detached Robotic Logistics Logs For The Absolute Elimination Of Interfacial Oxidative Degradation, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the macroscopic architectural layout, atmospheric seal metrics, and automated robot-to-machine routing protocols required to establish an external environmental guardrail for high-throughput Elemental Transmutation Replicator (ETR) industrial nodes. Prior art (Paper 128) details the micro-scale electro-hydrodynamic lamination of edible protective polymer skins over hyper-accelerated macro-nutrient streams. However, mechanical nozzle failures or unexpected microfluidic backpressure cascades introduce an operational vulnerability: transient exposure to ambient atmospheric oxygen (O₂) and water vapor (H₂O) can cause instant material degradation and structural collapse during high-velocity extrusion passes.

This disclosure resolves this structural vulnerability by placing the entire replication assembly inside a sealed, structural …

Dynamic Harmonic Resampling And Ternary Fluid-Canvas Operating Networks For The Elimination Of Volumetric Washout In High-Throughput System Interfaces, Christopher L. Eckes

Defensive Publications Series

This specification establishes the software-hardware architecture, fluid-canvas compilers, and low-level dynamic phase-alignment algorithms required to eliminate the downstream Acoustic Wave-Saturating Washout bottleneck within the Phase 2 Macro-Texture Structure Matrix of the Elemental Transmutation Replicator (ETR) framework. Prior art (TDC #11772, Paper 126) breaks the thermal limits of Phase 1 Synthesis, yielding a continuous, hyper-accelerated volumetric stream of unorganized liquid protein and lipid emulsions. Under static acoustic conditions, this accelerated flow rate sweeps away stationary ultrasonic nodes, preventing successful macro-texture cross-linking and fiber folding.

This disclosure resolves this fluid-dynamic constraint by deploying a Distributed Ternary Fluid-Canvas Operating Network governed by Module …