{"work":{"id":"75220a3b-4ce3-4151-9bda-bc0b9713edb1","openalex_id":null,"doi":null,"arxiv_id":"2012.13255","raw_key":null,"title":"Intrinsic dimen- sionality explains the effectiveness of language model fine-tuning","authors":null,"authors_text":"Aghajanyan, A","year":2012,"venue":null,"abstract":null,"external_url":"https://arxiv.org/abs/2012.13255","cited_by_count":null,"metadata_source":"arxiv_reference","metadata_fetched_at":"2026-05-23T05:52:37.534614+00:00","pith_arxiv_id":null,"created_at":"2026-05-09T05:01:40.868973+00:00","updated_at":"2026-06-05T21:23:00.469572+00:00","title_quality_ok":true,"display_title":"Intrinsic dimen- sionality explains the effectiveness of language model fine-tuning","render_title":"Intrinsic dimen- sionality explains the effectiveness of language model fine-tuning"},"hub":{"state":{"work_id":"75220a3b-4ce3-4151-9bda-bc0b9713edb1","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":19,"external_cited_by_count":null,"distinct_field_count":9,"first_pith_cited_at":"2021-01-01T08:00:36+00:00","last_pith_cited_at":"2026-05-20T04:41:44+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":"2026-06-12T05:29:08.298580+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"background","n":2},{"context_role":"method","n":2}],"polarity_counts":[{"context_polarity":"background","n":3},{"context_polarity":"use_method","n":1}],"runs":{},"summary":{},"graph":{},"authors":[]}}