Everything about PDF/VT
File format for printed documents
PDF/VT is an international standard published by ISO in August 2010 as ISO 16612-2. It defines the use of PDF as an exchange format optimized for variable and transactional printing. Built on top of PDF/X-4, it is the first variable-data printing (VDP) format which ensures modern International Color Consortium-based (ICC) color management through the use of ICC Output Intents. It adds the notion of encapsulated groups of graphic objects to support optimized efficient processing for repeating text, graphic or image content. Introducing the concept of document part metadata (DPM), it enables reliable and dynamic management of pages for High Volume Transactional Output (HVTO) print data, like record selection or postage optimization based on metadata. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: PDF/VTA 5-minute orientation
- Skim a recent paper: PDF-5+: a comprehensive Powder Diffraction File™ for materials characterizationInfluential work since 2022
- Read the landmark paper: PDF methods for turbulent reactive flowsCited 2,322 times
- Go sideways: History of PDFA closely related topic
- Go sideways: PDFA closely related topic
🏆 Landmark papers (most cited)
PDF methods for turbulent reactive flows
A pdf Neuropeptide Gene Mutation and Ablation of PDF Neurons Each Cause Severe Abnormalities of Behavioral Circadian Rhythms in Drosophila
Rapid-acquisition pair distribution function (RA-PDF) analysis
Lagrangian PDF Methods for Turbulent Flows
Serotonin and the Neuropeptide PDF Initiate and Extend Opposing Behavioral States in C. elegans
A novel background field removal method for MRI using projection onto dipole fields (PDF)
PDF Cells Are a GABA-Responsive Wake-Promoting Component of the Drosophila Sleep Circuit
Uncertainties on α S in global PDF analyses and implications for predicted hadronic cross sections
🆕 Influential since 2022
PDF-5+: a comprehensive Powder Diffraction File™ for materials characterization
The PDF4LHC21 combination of global PDF fits for the LHC Run III*
https://riull.ull.es/xmlui/bitstream/handle/915/30978/C_22_%282022%29_28.pdf?sequence=1&isAllowed=y
PDF-UNet: A semi-supervised method for segmentation of breast tumor images using a U-shaped pyramid-dilated network
Detection of trapped molecular O 2 in a charged Li-rich cathode by Neutron PDF
📚 Books worth reading
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🔗 Related topics
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