{"doi":"10.48550/arxiv.2106.00001","title":"Unknown","abstract":null,"journal":null,"year":null,"id":14016,"datarank":0.14420802489484433,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.04023594781085251,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.04023594781085251,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":1,"citers_with_citation_signal":1,"citers_with_endowment":1,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"21071399","pmcid":null,"openalex_id":"https://openalex.org/W3172436493","authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[{"year":2021,"count":1}],"oa_status":"green","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","oa_locations":[{"url":"https://arxiv.org/pdf/2106.00001","host_type":"repository"},{"url":"http://arxiv.org/abs/2106.00001","host_type":"repository"},{"url":"http://export.arxiv.org/pdf/2106.00001","host_type":"repository"},{"url":"https://doi.org/10.48550/arxiv.2106.00001","host_type":"repository"}],"fields_of_study":["Privacy-Preserving Technologies in Data","Cryptography and Data Security","Stochastic Gradient Optimization Techniques","Cryptography and Security (cs.CR)","Data Structures and Algorithms (cs.DS)","Machine Learning (cs.LG)","Computation (stat.CO)","FOS: Computer and information sciences"],"mesh_terms":[],"keywords":["Linear subspace","Subspace topology","Curse of dimensionality","Dimension (graph theory)","Gradient descent","Computer science","Intrinsic dimension","Algorithm","High dimensional","Clustering high-dimensional data","Space (punctuation)","Dimensionality reduction","Artificial intelligence","Mathematical optimization","Mathematics","Combinatorics","Pure mathematics"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-05-31T23:14:48.976960Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}