Scalpel3: A High-Performance Data Carving Architecture for Recovery of Fragmented Files
arXiv 2608.20363•ab8ad533e21f046a114fea3d308f613e9967bfa097a1bee88cbae092fa1dba49
GPU-optimizationHPCRAGdata-remanencedigital-forensicsedge-computingmachine-learning-infrastructureprivacyretrieval-augmented-generationsatellite-AIvector-database-security
Paper metadata
- arXiv ID
- 2608.20363
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
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Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- ab8ad533e21f046a114fea3d308f613e9967bfa097a1bee88cbae092fa1dba49
- Enrichment time
- 2026-08-24T08:52:14Z
- AI-assisted enrichment
- Yes
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