Machine-learning test aims to separate data drift from changed relationships
Preprint: A two-discriminator method estimates separate input and mechanism components in synthetic and public benchmark tests.
2001–2020
Preprint: A two-discriminator method estimates separate input and mechanism components in synthetic and public benchmark tests.
Preprint: A proof-based analysis finds identical third-order gap spectra but an extra fourth-order value in the up-integer set.
Preprint: A numerical model showed long stretches of near-complete order followed by brief disorder when interaction delays varied over time.
An arXiv Preprint describes a decision layer for changing data streams that can reuse an expert, spawn one or wait for more evidence; its formal validity claim applies to an observable surrogate.
An arXiv preprint reports median gains across several backends, but larger-model parity and forward-pass performance were uneven.
The arXiv preprint tests a source-free system that adapts classifiers on unlabeled streams containing familiar image shifts and out-of-distribution samples.
Preprint: K1 appeared in 17 of 99 InSight intervals and reached about 8 pascals during the C34 dust storm, but the study found association, not causation.
Preprint: In base language models, the subject-change arm scored higher than habituation alone on short windows judged by a language model, while no condition exceeded 2.5 on any whole-document dimension.
Preprint reports a formally consistent coupling while leaving the model’s self-interactions for future work.
An arXiv preprint reports lower simulated position errors for a new filter than for a UKF and a bootstrap particle filter, but only in one model and two noise cases.
Preprint: An arXiv paper examines how binary experiments can be compared when observations stop as evidence arrives.
The arXiv study reached 0.97 efficiency at a 3.39 kHz candidate rate on independent validation data, while continuous background replay averaged 6.64 kHz.
Preprint: A Norwegian study reports higher scores for optimized preprocessing in chlorophyll-a and water-clarity models, but finds no universal setup or validation beyond the region.
The preprint reports the best image- and video-generation scores among displayed methods, but benchmark scores averaged only two subjects per dataset.
Preprint: A benchmark of 9,740 AI agent Skills found detectors performed much worse on held-out sources, with one model flagging 62.4% of benign Skills.
A preprint reports sub-millisecond high-order derivative calculations and a simulated 20-trailer parking manoeuvre, with tests limited to computation.
A mathematical note argues that the K − 1 factor shifts between two ways of framing the statistical test rather than disappearing.
The exact result covers normal connection sets in finite groups with a kernel of size q and a complement of size q−1.
The test-time method updated about 0.03% of a pretrained model and reported stronger early-enrichment scores on two benchmarks, but its evidence is limited to computational tests.
An arXiv preprint reports qualitative agreement with a conventional numerical controller, while leaving run counts and statistical performance unquantified.