{"arxiv_id":"1101.5571","incoming":{"papers":0,"sentences":0,"groups":[],"unlabelled_sentences":0},"outgoing":{"papers":1,"sentences":1,"groups":[{"kind":"method_or_tool","label":"Uses the method or tool of","papers":1,"sentences":1,"quotes":[{"arxiv_id":"hep-lat/9610016","title":"Lattice Monte Carlo Data versus Perturbation Theory","url":"/paper/hep-lat/9610016","section":"Computational Details","sentence":"This is achieved by fitting $T/√(σ)$ using the ansatz suggested in [ref] within the range of $β∈[5.6,6.5]$ and extrapolating to our relevant region of $β∈[6.8,7.8]$.","intent_p":0.93,"contests_p":null}]}],"unlabelled_sentences":0},"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/1101.5571"}}