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This work proposes 5W1H+Which, a semantic indexing design that separates content extraction from ontology binding, and distinguishes business valid time, system knowledge time, and operational traces, and uses dependency records to support binding revalidation and the maintenance of derived conclusions.
Hold-out evaluations for model changes, cross-border adaptation, and scale are proposed, including a factorial test of source evidence and checkpoint repair and group-level reporting to prevent aggregate gains from masking local failures.
G-STAR is a general graph-based scheduling framework that formalizes complex MAS pipelines as attributed Directed Acyclic Graphs (DAGs) and develops an industry-grade orchestration stack with asynchronous execution, resilient serving, and audit-friendly artifacts, offering a practical solution for optimizing web-scale...
A contract-bounded runtime architecture, a source-preserving data substrate, and a falsifiable measurement protocol are contributed, which proposes a cluster-period randomized crossover experiment with a four-state verdict: supported, falsified, conditional-engineering, or inconclusive.
G-STAR is a general graph-based scheduling framework that formalizes complex MAS pipelines as attributed Directed Acyclic Graphs (DAGs) and develops an industry-grade orchestration stack with asynchronous execution, resilient serving, and audit-friendly artifacts, offering a practical solution for optimizing web-scale...
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