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PragyaDoc: A Universal Document Intelligence Framework for Multilingual Medical Document Understanding in Low-Resource Settings — arXiv:2608.07478

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.07478
License (as archived): CC0-1.0
Archived: 2026-10-19T08:50:33.542Z
SHA-256 of the archived text: 132a6e5a5fbd0c55d2610081cd53771017331fb2d6aff1104c1c94c435185940
Stable URL of this page: https://metraipolis.com/documento/dc_bccd46bb98f5

How to cite

PragyaDoc: A Universal Document Intelligence Framework for Multilingual Medical Document Understanding in Low-Resource Settings — arXiv:2608.07478 — arXiv (en), https://arxiv.org/abs/2608.07478 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_bccd46bb98f5 (Metraipolis archive dc_bccd46bb98f5, sha256 132a6e5a5fbd0c55d2610081cd53771017331fb2d6aff1104c1c94c435185940)

BibTeX

@misc{dcbccd46bb98f5,
  title = {PragyaDoc: A Universal Document Intelligence Framework for Multilingual Medical Document Understanding in Low-Resource Settings — arXiv:2608.07478},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.07478},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_bccd46bb98f5; sha256 132a6e5a5fbd0c55d2610081cd53771017331fb2d6aff1104c1c94c435185940},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.07478. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

India's 22 official languages create a critical accessibility barrier: the majority of medical documentation exists exclusively in English, yet the patients who most urgently require this information - rural populations, ASHA workers, and patient families - are functionally excluded from understanding it. This paper presents PragyaDoc, a Universal Document Intelligence Framework that addresses this gap through a four-layer pipeline: a parallel ensemble OCR extraction layer, a geometric-lexical fusion layer, a deterministic domain structuring layer, and a dual-LLM medical reasoning and localization layer

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-08-11 in cs.CL).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV) ; Computation and Language (cs.CL).
Pagina del lavoro: https://arxiv.org/abs/2608.07478 — 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 2026-10-19T08:49:41.951Z dalla pagina https://arxiv.org/catchup/cs.CL/2026-08-11?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).