Patent Application: Validating Cached Inputs for Machine Learning Models
Summary
The USPTO has published a patent application (US20260087400A1) detailing a method for validating cached input data for machine learning models. The application, filed on September 20, 2024, describes a hierarchical input pipeline that ensures data integrity before processing.
What changed
This document is a patent application (US20260087400A1) filed with the USPTO, describing a system and method for validating cached input components within a hierarchical pipeline for machine-learned models. The core innovation lies in a node-based validation process that relies on communication from child nodes to confirm the validity status of input data before it is passed to a parent node. This ensures that only validated context components are used in generating the final output, enhancing the reliability of machine learning systems.
As this is a patent application, it does not impose direct compliance obligations on regulated entities. However, companies involved in developing or deploying machine learning models, particularly those utilizing hierarchical data processing or caching mechanisms, may find the described techniques relevant for their internal development and intellectual property strategies. The application is published for public disclosure and potential patent grant.
Archived snapshot
Mar 26, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Validating Cached Inputs to a Machine-Learned Model System
Application US20260087400A1 Kind: A1 Mar 26, 2026
Inventors
Branden Michael Archer, Mekhola Mukherjee
Abstract
An example method for validating data at a node in a hierarchical input pipeline for a machine-learned model system includes receiving, from a first child node of the node, a first input context component. The example method includes receiving, from a second child node of the node, a second input context component. The example method includes generating, at a context generation time, an output context component based on a validated set of context components comprising at least the first input context component. In the example method: the validated set of context components includes the second input context component based on receiving, from the second child node, a communication that indicates a valid context status for the second input context component at the context generation time; or the validated set of context components does not comprise the second input context component based on not receiving the communication that indicates the valid context status at the context generation time. The example method includes outputting, to a parent node of the node, the output context component.
CPC Classifications
G06N 20/00 H04L 9/3247
Filing Date
2024-09-20
Application No.
18891834
Named provisions
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