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SHRAV: State-Hypothesis-Reason-Action-Verify Framework for Physical Modeling and Inverse Design — arXiv:2609.27621

Source
arXiv (en)
Original
https://arxiv.org/abs/2609.27621
License (as archived)
CC0-1.0
Archived
2026-10-08T09:11:28.260Z
SHA-256 of the archived text
517f92dc0e89721786c0ca7c40d26ea55a309c726a3034e8984a38031f504089
Stable URL of this page
https://metraipolis.com/documento/dc_df7efe39ab2e

How to cite

SHRAV: State-Hypothesis-Reason-Action-Verify Framework for Physical Modeling and Inverse Design — arXiv:2609.27621 — arXiv (en), https://arxiv.org/abs/2609.27621 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_df7efe39ab2e (Metraipolis archive dc_df7efe39ab2e, sha256 517f92dc0e89721786c0ca7c40d26ea55a309c726a3034e8984a38031f504089)
BibTeX
@misc{dcdf7efe39ab2e,
  title = {SHRAV: State-Hypothesis-Reason-Action-Verify Framework for Physical Modeling and Inverse Design — arXiv:2609.27621},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.27621},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_df7efe39ab2e; sha256 517f92dc0e89721786c0ca7c40d26ea55a309c726a3034e8984a38031f504089},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.27621. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

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.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-24 in cs.AI).
Categorie arXiv: Artificial Intelligence (cs.AI) ; Computational Engineering, Finance, and Science (cs.CE); Computational Physics (physics.comp-ph); Optics (physics.optics).
Pagina del lavoro: https://arxiv.org/abs/2609.27621 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-08T08:13:26.523Z dalla pagina https://arxiv.org/catchup/cs.AI/2026-09-24?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).