MIRAI
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Related Articles from SNS
MIRAI: Prediction and Generation of High-Impact Academic Research
arXiv:2606.05443v1 Announce Type: new Abstract: The rapid pace of scientific publishing has made the identification and synthesis of high-impact work an increasingly urgent challenge. We introduce MIRAI (Multi-year Inference of Research trends and Academic Impact), a deep learning framework that predicts paper impact using only it's title, abstract, and publication date. We train MIRAI on the arXiv academic graph to predict 5-year PageRank and citation counts, achieving Spearman's $\rho$ of...
Video-Mirai: Autoregressive Video Diffusion Models Need Foresight
arXiv:2606.03971v1 Announce Type: new Abstract: Causal video generators must predict from the past, but they need not learn only from it. In streaming autoregressive video diffusion, each emitted segment becomes a commitment that future segments must preserve. Standard training, however, only asks each causal state to explain the present.
Parallel Reconstruction of Lawful TLS Wiretapping
Parallel Reconstruction of Lawful TLS Wiretapping Transport Layer Security (TLS) is the protocol involved in getting the lock icon to appear in your browser next to the URL. Under the hood it uses a bunch of really cool numbers for encryption. Some numbers are considered private and need securing; some are considered public and are fine for sharing.
MalTree: Tracing Malware Evolution from Embeddings at Scale
arXiv:2606.06570v1 Announce Type: new Abstract: Malware detection remains largely reactive: machine learning models trained on known samples degrade as threats evolve. Understanding evolutionary relationships among malware families can inform proactive defense, but traditional reverse engineering can take months to years to uncover such lineage relationships. We propose MalTree, a framework that applies bioinformatics inspired phylogenetic techniques (UPGMA and Neighbor-Joining) at scale to...