{
  "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.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.27621",
  "author_total": 2,
  "authors": [
    {
      "name": "Ziheng Guo"
    },
    {
      "name": "Yang Bu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/68t49nkasmxsa.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.27621",
  "fulltext_url": null,
  "id": "68t49nkasmxsa",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.27621",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.AI"
    ],
    [
      "arxiv",
      "cs.CE"
    ],
    [
      "arxiv",
      "physics.comp-ph"
    ],
    [
      "arxiv",
      "physics.optics"
    ],
    [
      "openalex",
      "3109|Model Reduction and Neural Networks"
    ]
  ],
  "openalex": "W7214229576",
  "pdf_url": "https://arxiv.org/pdf/2609.27621",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-24",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/68t49nkasmxsa.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:24:11Z",
      "native_id": "2609.27621",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.27621"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.comp-ph",
      "subfield": "computational"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.optics",
      "subfield": "optics-photonics"
    }
  ],
  "title": "SHRAV: State-Hypothesis-Reason-Action-Verify Framework for Physical Modeling and Inverse Design",
  "title_text": "SHRAV: State-Hypothesis-Reason-Action-Verify Framework for Physical Modeling and Inverse Design",
  "type": "preprint",
  "updated_at": "2026-10-30T12:24:11Z",
  "url": "https://research.draconitic.com/paper/68t49nkasmxsa",
  "venue": "arXiv",
  "versions": []
}