Domain-Shift

TL;DR for operators A fraud team launching a voice-phishing detector faces a sequencing decision before it faces a model-selection decision. In this benchmark, a four-feature acoustic representation reaches 69.5% F1 when no authentic voice-phishing examples are added to classifier training, beating frozen HuBERT at 58.3% and wav2vec2.0 at 36.2%. But the ranking changes after only five authentic fraud examples: HuBERT rises to 94.2% F1, wav2vec2.0 to 90.2%, while the four-feature system reaches 71.0%.1 ...

TL;DR for operators Kammoun, Leglaive, Alameda-Pineda, and Gerkmann propose a source-free way to adapt a pretrained speech-enhancement model to one noisy utterance at inference time.1 The system uses one second of unlabeled deployment audio and a separately trained model of clean speech as its adaptation signal. It resets the enhancement model to its pretrained parameters before each new utterance, so adaptation is local rather than cumulative. ...

TL;DR for operators Five minutes of on-chain trading activity contain enough signal to support one-hour rug-pull screening on Solana, but the signal is not reliably portable across venues. A model that performs reasonably on PumpFun can lose much of its separation when moved to Raydium, and vice versa. Training on both venues helps—especially for XGBoost and Random Forest—but does not remove the platform effect. ...

TL;DR for operators This paper is not trying to win a skin-lesion classification leaderboard. Good. We have enough leaderboards already, many of them decorated with the usual confetti of optimistic AUCs and conveniently unexamined data provenance. The real contribution is a reproducible mechanism for constructing a clinically verified dermoscopic image dataset: standardized mobile-image acquisition, a structured 16-field metadata model, multi-stage diagnostic label verification, deduplication by cryptographic hash, and normalized diagnostic categories.1 The authors then demonstrate the method by building a dataset of 1026 unique dermoscopic images from 443 patients collected in Russian outpatient practice between June 2025 and May 2026. The malignant cases are small in number—39 images—but all are histologically verified. ...