{"arxiv_id":"2407.06178","incoming":{"papers":0,"sentences":0,"groups":[],"unlabelled_sentences":0},"outgoing":{"papers":4,"sentences":5,"groups":[{"kind":"method_or_tool","label":"Uses the method or tool of","papers":1,"sentences":1,"quotes":[{"arxiv_id":"1802.03426","title":"UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction","url":"/paper/1802.03426","section":"Exploratory Data Analysis","sentence":"In Figure [ref] we plot UMAP [ref] projections of these embeddings, both their [CLS] tokens and the DCT coefficients of the patch tokens.","intent_p":1.0,"contests_p":null}]},{"kind":"background","label":"Cites as background","papers":1,"sentences":1,"quotes":[{"arxiv_id":"2304.07193","title":"DINOv2: Learning Robust Visual Features without Supervision","url":"/paper/2304.07193","section":"Self-Supervised Vision Transformers","sentence":"DINOv2 [ref] is a self-supervised vision transformer developed by Meta.","intent_p":0.8,"contests_p":null}]}],"unlabelled_sentences":3},"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/2407.06178"}}