{"work":{"id":"55093fc1-1c60-477e-a5c4-f55987ea4b38","openalex_id":null,"doi":null,"arxiv_id":null,"raw_key":"raw:de46e3072735de98a9ee316c","title":"Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017","authors":null,"authors_text":"Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter","year":2017,"venue":null,"abstract":null,"external_url":null,"cited_by_count":null,"metadata_source":"raw_reference","metadata_fetched_at":"2026-05-24T18:06:19.864161+00:00","pith_arxiv_id":null,"created_at":"2026-05-14T00:08:29.720104+00:00","updated_at":"2026-06-05T21:23:00.469572+00:00","title_quality_ok":true,"display_title":"Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30","render_title":"Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30"},"hub":{"state":{"work_id":"55093fc1-1c60-477e-a5c4-f55987ea4b38","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":15,"external_cited_by_count":null,"distinct_field_count":2,"first_pith_cited_at":"2025-11-24T17:59:06+00:00","last_pith_cited_at":"2026-05-20T06:58:52+00:00","author_build_status":"not_needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"not_needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-07-03T11:14:04.032518+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"method","n":2},{"context_role":"background","n":1}],"polarity_counts":[{"context_polarity":"use_method","n":2},{"context_polarity":"background","n":1}],"runs":{},"summary":{},"graph":{},"authors":[]}}