Validating Cached Inputs to a Machine-Learned Model System

A computer-implemented method for validating data at a node in a hierarchical input pipeline for a machine-learned model system, the method comprising:

• receiving, from one or more child nodes of the node, one or more input context components;
• generating, based on the one or more input context components, an output context component;
• outputting, to a parent node of the node, the output context component;
• storing a data record that associates the one or more input context components with the outputting of the output context component to the parent node;
• receiving, from at least one of the one or more child nodes, an update to at least one of the one or more input context components;
• initiating, based on the data record, the generation of a replacement context component for the output context component, the replacement context component based on the update;
• and
• one of:
• based on generating the replacement context component, outputting, to the parent node, the replacement context component to replace the output context component;
• or
• based on detecting an alignment between the replacement context component and the output context component, not outputting, to the parent node, the replacement context component to replace the output context component.