Conceptual
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Image-Encoding-Based IPv6 Target Generation for Few-Seed Prefixes

A way to generate probe targets in the IPv6 address space when only a handful of known-active seed addresses exist under a routing prefix. Each 128-bit address is laid out as an 8x16 binary image, one row per hexadecimal group, so that the same bit position across groups shares a column and the model can read configuration structure spatially; seed images are clustered by variational-autoencoder latent features, stitched together to enlarge the training signal, and modelled autoregressively so that generated images decode back into candidate addresses, with probe results fed back as fine-tuning data to correct the seeds sampling bias.