{"arxiv_id":"2607.14008","incoming":{"papers":0,"sentences":0,"groups":[],"unlabelled_sentences":0},"outgoing":{"papers":6,"sentences":7,"groups":[{"kind":"method_or_tool","label":"Uses the method or tool of","papers":2,"sentences":2,"quotes":[{"arxiv_id":"1607.06450","title":"Layer Normalization","url":"/paper/1607.06450","section":"Problem Formulation","sentence":"The actor transforms the circuit graph through four Graph Attention Network (GAT) [ref] layers with residual connections and layer normalization [ref] , while processing the design objectives separately via an MLP.","intent_p":1.0,"contests_p":null},{"arxiv_id":"1710.10903","title":"Graph Attention Networks","url":"/paper/1710.10903","section":"Problem Formulation","sentence":"The actor transforms the circuit graph through four Graph Attention Network (GAT) [ref] layers with residual connections and layer normalization [ref] , while processing the design objectives separately via an MLP.","intent_p":1.0,"contests_p":null}]},{"kind":"background","label":"Cites as background","papers":1,"sentences":1,"quotes":[{"arxiv_id":"1312.5602","title":"Playing Atari with Deep Reinforcement Learning","url":"/paper/1312.5602","section":"Reinforcement Learning","sentence":"Reinforcement learning [ref] enables agents to learn optimal decision making through environmental interaction, with successes in continuous control [ref] , games [ref] , and autonomous driving [ref] .","intent_p":1.0,"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/2607.14008"}}