{"arxiv_id":"2503.16207","incoming":{"papers":0,"sentences":0,"groups":[],"unlabelled_sentences":0},"outgoing":{"papers":4,"sentences":6,"groups":[{"kind":"method_or_tool","label":"Uses the method or tool of","papers":1,"sentences":1,"quotes":[{"arxiv_id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","url":"/paper/1412.6980","section":"Experiments on the Verhulst-Pearl equation","sentence":"We use the Adam algorithm [ref] with iterations of 200, 500, 1000, 1500 and 2000.","intent_p":1.0,"contests_p":null}]},{"kind":"data_used","label":"Uses data or values from","papers":1,"sentences":1,"quotes":[{"arxiv_id":"1708.07747","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","url":"/paper/1708.07747","section":"Image Classification of NvoFDE","sentence":"We evaluate the Nvo-IC model by conducting experiments on the Fashion-MNIST [ref] and CIFAR [ref] datasets, assessing classification accuracy on both clean and stochastically noisy images.","intent_p":0.97,"contests_p":null}]}],"unlabelled_sentences":4},"claims":[],"thresholds":{"intent_p":0.8,"supports_p":0.95,"contests_p":0.7},"method":"Citing sentences come from each paper's LaTeX source; every \\cite marks the sentence and the works it cites. Pith's classifier typed each sentence. A label is shown at intent probability 0.8 or more (0.95 for support), a contest at 0.7 or more. Measured accuracy against two blind model families is at https://pith.science/accuracy. The quoted sentences are the citing authors' own.","held_up":null,"_links":{"html":"https://pith.science/paper/2503.16207"}}