Hierarchical Interface Construction Under Time-Constrained Data Traversal

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Distributed database systems face challenges in navigating complex data structures due to unwieldy program specifications and language models' limitations in performing precise numerical calculations, leading to difficulties in maintaining accuracy across long chains of mathematical reasoning and satisfying numeric constraints.

Innovation Solution

A hybrid approach combining hierarchical list-to-list data structures with algorithmic methods is used to generate responses that satisfy both qualitative and quantitative requirements, involving a computer system that traverses through multiple layers of a hierarchical data structure to retrieve relevant sub-data structures, applies duration protocols, and uses a language model API to ensure time constraints are met.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If language models are used to interpret complex program specifications and generate UI elements, then the system can handle natural language inputs and generate structured data requirements, but the models struggle with precise numerical calculations and maintaining accuracy across long chains of mathematical reasoning

Engineering Contradiction:

Improvenatural language interpretation capabilityVSAvoidnumerical calculation accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The system divides the processing into separate components: language models handle natural language interpretation and qualitative requirements, while separate algorithmic processes handle quantitative constraints and numerical calculations. This segmentation allows each component to excel at its specialized task without compromising overall accuracy.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary layer that translates between natural language specifications and structured mathematical representations. This intermediary enables the system to maintain the flexibility of language model processing while ensuring precise numerical handling through dedicated calculation engines.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If distributed database systems are designed with multiple interconnected nodes for fault tolerance and scalability, then system resilience and query performance are improved, but the complexity of navigating data structures increases and program specifications become unwieldy

Engineering Contradiction:

Improvefault toleranceVSAvoiddata structure navigation complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements a universal data structure framework that can represent multiple types of distributed database relationships through a common interface. This allows the system to maintain fault tolerance and scalability while providing simplified navigation through hierarchical abstractions that work across different database node configurations.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system adds a hierarchical dimension to data structure navigation, organizing distributed database relationships into layered hierarchies. This dimensional organization simplifies navigation by providing structured paths through complex distributed systems, making program specifications more manageable.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

3Manufacturing precision

If a hybrid approach combining hierarchical data structures with algorithmic methods is used, then responses can satisfy both qualitative and quantitative requirements, but the system complexity increases with multiple layers and traversal operations

Engineering Contradiction:

Improveconstraint satisfaction accuracyVSAvoidsystem architecture complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent employs nested hierarchical data structures where smaller structures are contained within larger ones, creating organized layers of abstraction. This nesting allows the system to satisfy complex constraints through systematic traversal of nested levels, maintaining precision while managing complexity through structured organization.

Inventive Principle:

Principle #7Nested doll (Nesting)

Data Source

PatentUS12499138B1Traversing a multi-tier architecture distributed across a network topology for interface construction

Publication Date: 2025.12.16 IDESIGNEDU INC

AI summary

A method and related system may traverse a hierarchical data structure to dynamically generate text outputs based on user prompts. The method includes retrieving sub-data structures from multiple layers via links, applying a duration protocol and time constraints, and using a language model API to generate candidate output content. The method may also include determining whether the content meets time criteria and, if so, updating the first sub-data structure for display at a second client node.