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The v0.6.x "Graph Era" represents the transition from local geometry to global topology. It introduces Spectral Influence Mapping to identify the "Prime Mover" within cascading render chains. By modeling the state-space update rhythm as a directed adjacency matrix and applying Power Iteration heuristics (Eigenvector Centrality), the engine ranks architectural debt by system-wide impact, providing a data-driven priority list for surgical refactoring.
No due date•2/3 issues closedThe v0.5.x "Decomposition Era" marks the transition from purely observing behavioral rhythms to approximating the algebraic structure of the application state space. Building on the performance foundation of v0.4.x, this era focuses on identifying the "Role" of each signal within the component hierarchy to distinguish between independent state and redundant projections of global providers. Objective To implement a heuristic model inspired by Algebraic Subspace Decomposition, allowing the auditor to identify when a component's state space fails to maintain a Direct Sum relationship between local hooks and global context.
No due date•2/2 issues closedThis milestone represents the transition of react-state-basis from a static state tracker to a high-performance signal processing instrument. The v0.4.x "Correlation Era" focuses on establishing the technical foundation for measuring application rhythms, ensuring that the act of auditing remains statistically invisible to the main thread. Objective To implement a high-fidelity heuristic model capable of identifying architectural debt through temporal cross-correlation, while maintaining a flat memory profile and sub-1ms logic overhead. Completed Work: #22 - Temporal Cross-Correlation & Causality Mapping #31 - Density Filtering & Volatility Guard #33 - Flat Memory Architecture (Ring Buffers)
No due date•3/3 issues closed