AI RESEARCH
MELT: A Behavioral Trace Dataset for High-Risk Memecoin Launch Detection
arXiv CS.LG
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ArXi:2602.13480v2 Announce Type: cross Launchpads have become the dominant mechanism for issuing memecoins, exposing investors to a new class of high-risk launches that existing rug-pull detection methods cannot capture. We argue that detecting these threats requires structured behavioral traces that underlie raw heterogeneous blockchain data, i.e., how insiders accumulate, coordinate, and unwind positions. To enable such analysis, we