{"arxiv_id":"1905.00107","incoming":{"papers":1,"sentences":1,"groups":[],"unlabelled_sentences":1},"outgoing":{"papers":3,"sentences":4,"groups":[{"kind":"extends","label":"Builds on","papers":1,"sentences":1,"quotes":[{"arxiv_id":"1703.06461","title":"Regress-Later Monte Carlo for Optimal Inventory Control with applications in energy","url":"/paper/1703.06461","section":"Regression Monte Carlo","sentence":"This was extended for storage problems and controlled state process in [ref] .","intent_p":0.81,"contests_p":null}]},{"kind":"background","label":"Cites as background","papers":2,"sentences":2,"quotes":[{"arxiv_id":"1703.06461","title":"Regress-Later Monte Carlo for Optimal Inventory Control with applications in energy","url":"/paper/1703.06461","section":"Regression Monte Carlo","sentence":"Among the approaches for approximating $f$ we mention [ref] and [ref] who exploit the structure of the problem to reduce the dimensionality of the regressions, [ref] who harness the distribution of process to reduce the variance of $f̂$ and [ref] who use non-parametric regression methods for $f̂$.","intent_p":0.83,"contests_p":null},{"arxiv_id":"1703.09705","title":"A Systematic Survey of the Effects of Wind Mass Loss Algorithms on the Evolution of Single Massive Stars","url":"/paper/1703.09705","section":"Regression Monte Carlo","sentence":"Among the approaches for approximating $f$ we mention [ref] and [ref] who exploit the structure of the problem to reduce the dimensionality of the regressions, [ref] who harness the distribution of process to reduce the variance of $f̂$ and [ref] who use non-parametric regression methods for $f̂$.","intent_p":0.83,"contests_p":null}]}],"unlabelled_sentences":1},"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/1905.00107"}}