mlsanityData to 14 Oct 2026

Complete virtual unwrapping and reading of a rolled Herculaneum papyrus

arXiv 2606.29085 ↗First posted 27 Jun 2026eess.IV cs.CV cs.LGcited by 1

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Abstract (arXiv)

The carbonized papyri from Herculaneum preserve the only large-scale library to survive from classical antiquity, but many unopened rolls remain unread because physical opening risks irreversible damage. X-ray computed microtomography (μCT) and virtual unwrapping offer a non-invasive route to their texts, yet previous work on sealed Herculaneum scrolls has recovered only localized readings or limited surface regions. Here, using high-resolution phase-contrast μCT acquired on the BM18 beamline at the European Synchrotron Radiation Facility (ESRF), together with improved computational unrolling and machine learning, we achieve the complete virtual unwrapping and reading of PHerc. 1667 under explicit coverage and papyrological-review criteria. This makes PHerc. 1667 the first Herculaneum papyrus to be fully digitally unrolled and read for extended scholarly study without physical opening. In PHerc. Paris 4, the optimized scan protocol makes ink directly visible in the tomographic volume, allowing three-dimensional ink segmentation and independent validation of surface-conditioned ink recovery. In PHerc. 139, we recover title and author-attribution evidence identifying the scroll as Philodemus, On Gods, Book 8. These results move virtual unwrapping of the Herculaneum scrolls beyond isolated demonstrations towards a scalable framework for systematic recovery of the still-unopened library.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 32 references that are in the map. First posted on arXiv 27 Jun 2026.

Builds on

7 of 32 references.

References · 7

  1. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
  2. 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
  3. 2017Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?cited by 551
  4. 2024nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentationcited by 240
  5. 2024Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structurescited by 43
  6. 2023EduceLab-Scrolls: Verifiable Recovery of Text from Herculaneum Papyri using X-ray CTcited by 4
  7. 2026Ink Detection from Surface Topography of the Herculaneum Papyricited by 1

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