SHRAV: State-Hypothesis-Reason-Action-Verify Framework for Physical Modeling and Inverse Design

[Submitted on 23 Sep 2026 (v1), last revised 24 Sep 2026 (this version, v2)]

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Abstract:Physical modeling and inverse design require computation that can continue from reusable state. We introduce SHRAV, an architecture-independent computational framework organized around State, Hypothesis, Reason, Action, and Verify. Its central mechanism is a state-continuation core with declared reuse boundaries and explicit roles for learned evolution and numerical quantities. Forward configurations evolve predictive state and read out physical responses; inverse-design configurations additionally generate target-directed modifications and consume evaluator feedback. Electromagnetic world-model studies are mapped to forward configurations, with selected readout and reuse diagnostics reported here. Computational lithography demonstrates an inverse-design configuration: four fixed-weight design updates improve thresholded aerial-image intersection-over-union from 0.5313 to 0.8153 under independent scalar-pupil replay, with a maximum absolute IoU difference of approximately 0.000824 between predictor estimates and independent replay.

Submission history

From: Ziheng Guo [view email]
[v1] Wed, 23 Sep 2026 09:44:11 UTC (736 KB)
[v2] Thu, 24 Sep 2026 06:59:06 UTC (736 KB)