{"arxiv_id":"2107.13507","incoming":{"papers":1,"sentences":1,"groups":[],"unlabelled_sentences":1},"outgoing":{"papers":2,"sentences":2,"groups":[{"kind":"background","label":"Cites as background","papers":2,"sentences":2,"quotes":[{"arxiv_id":"1708.06374","title":"On a Formal Model of Safe and Scalable Self-driving Cars","url":"/paper/1708.06374","section":"Introduction","sentence":"AVs balance a complex set of objectives, such as driving safely and comfortably, complying with numerous traffic laws, getting to a destination, and generally meeting ethical and cultural expectations of reasonable driving behavior [ref] .","intent_p":0.8,"contests_p":null},{"arxiv_id":"2106.11810","title":"NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles","url":"/paper/2106.11810","section":"Related Work","sentence":"A closed-loop ML-based planning benchmark for autonomous driving from human demonstrations is under development [ref] .","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/2107.13507"}}