Continuous Model Evolution With Annotated Feedback Gating

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Solution Overview

Problem

Existing systems lack an efficient and compliant platform for creating and trading digital securities representing real assets, such as real estate, while maintaining transaction privacy and compliance with securities regulations.

Innovation Solution

A transaction platform with semi-redundant ledgers that synchronize automatically, allowing for the creation and trading of digital securities while keeping personally identifiable information private, using a primary ledger for confidential data and a secondary ledger for public or private blockchain records.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If a single public ledger is used for trading digital securities, then transparency and accessibility are improved, but personally identifiable information becomes exposed and regulatory compliance becomes difficult

Engineering Contradiction:
ImprovetransparencyVSAvoidprivacy exposure
Core Design Contradiction:
Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The patent divides the ledger system into two separate ledgers: a private ledger that stores personally identifiable information and transaction details, and a public ledger that stores only anonymized transaction data. This segmentation allows the system to maintain transparency through the public ledger while protecting privacy by keeping sensitive data in the private ledger, thus resolving the contradiction between transparency and privacy exposure.

Inventive Principle:
Principle #1Segmentation

2Reliability

If a centralized trading platform is used, then regulatory compliance and investor protection are improved, but system complexity and operational costs increase

Engineering Contradiction:
Improveregulatory complianceVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces a trusted intermediary (clearinghouse) that acts as a mediator between buyers and sellers in the digital securities trading process. This intermediary maintains the private ledger, verifies participant identities, ensures regulatory compliance, and coordinates transactions between the private and public ledgers. By delegating these complex compliance and coordination functions to a specialized intermediary, the overall system complexity is managed while maintaining high reliability and regulatory adherence.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If traditional securities trading infrastructure is used, then regulatory compliance is maintained, but accessibility for retail investors and efficiency are reduced

Engineering Contradiction:
Improveregulatory complianceVSAvoidinvestor accessibility
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent creates a digital copy of traditional securities trading on a blockchain network. The public ledger replicates the essential transaction recording function of traditional clearinghouses, while the private ledger maintains the necessary compliance information. This digital copying allows retail investors to access digital securities trading through simplified interfaces and lower barriers to entry, while the underlying dual-ledger architecture ensures regulatory compliance is maintained through automated verification and immutable record-keeping.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS12406305B2Regenerative model-continuous evolution system
Publication Date: 2025.09.02 TRETE INC
  • US12406305B2 patent drawing
  • US12406305B2 patent drawing
  • US12406305B2 patent drawing

AI summary

In certain aspects of the disclosure, a computer-implemented method includes receiving a selection of a model from a plurality of models running on an ecosystem. The method includes receiving annotated datasets with correct examples and incorrect examples. The method includes training, responsive to receiving the annotated datasets, the model based on the annotated datasets. The method includes running the model based on the training. The method includes receiving a feedback score of results from running the model based on the annotated datasets. The method includes iteratively running, until the feedback score is above a predetermined threshold, the model responsive to user evaluation of the results from running the model based on the annotated datasets. The method includes publishing the model responsive to the feedback score being above the predetermined threshold.