{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:RWEWA5Q4DMFIQUPYZHEB7425Z6","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"976b63238afea9a0b2eefaa5fab9057f52ca7f13cfbb2167d80ed8116d7b87b7","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-16T15:38:13Z","title_canon_sha256":"c3f7e2fd6c6fe44b2304d4b17c51b94e1cdb07aca3ade43d891efa590fc822a7"},"schema_version":"1.0","source":{"id":"2106.08864","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.08864","created_at":"2026-07-05T02:50:02Z"},{"alias_kind":"arxiv_version","alias_value":"2106.08864v1","created_at":"2026-07-05T02:50:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.08864","created_at":"2026-07-05T02:50:02Z"},{"alias_kind":"pith_short_12","alias_value":"RWEWA5Q4DMFI","created_at":"2026-07-05T02:50:02Z"},{"alias_kind":"pith_short_16","alias_value":"RWEWA5Q4DMFIQUPY","created_at":"2026-07-05T02:50:02Z"},{"alias_kind":"pith_short_8","alias_value":"RWEWA5Q4","created_at":"2026-07-05T02:50:02Z"}],"graph_snapshots":[{"event_id":"sha256:73ab01a7c04885c543abe751ebee5fbf0119c1a4f660a491866f1a8983ff259d","target":"graph","created_at":"2026-07-05T02:50:02Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2106.08864/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Can we learn a multi-class classifier from only data of a single class? We show that without any assumptions on the loss functions, models, and optimizers, we can successfully learn a multi-class classifier from only data of a single class with a rigorous consistency guarantee when confidences (i.e., the class-posterior probabilities for all the classes) are available. Specifically, we propose an empirical risk minimization framework that is loss-/model-/optimizer-independent. Instead of constructing a boundary between the given class and other classes, our method can conduct discriminative cl","authors_text":"Bo An, Gang Niu, Lei Feng, Masashi Sugiyama, Senlin Shu, Yitian Xu, Yuzhou Cao","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-16T15:38:13Z","title":"Multi-Class Classification from Single-Class Data with Confidences"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.08864","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:70b375ed5ad48d4ba6e1d06d1b0bfe6b17e3edfb3be186387d398eaa32ec90f6","target":"record","created_at":"2026-07-05T02:50:02Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"976b63238afea9a0b2eefaa5fab9057f52ca7f13cfbb2167d80ed8116d7b87b7","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-16T15:38:13Z","title_canon_sha256":"c3f7e2fd6c6fe44b2304d4b17c51b94e1cdb07aca3ade43d891efa590fc822a7"},"schema_version":"1.0","source":{"id":"2106.08864","kind":"arxiv","version":1}},"canonical_sha256":"8d8960761c1b0a8851f8c9c81ff35dcf97a63128de604a6a299c827534fbabb8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d8960761c1b0a8851f8c9c81ff35dcf97a63128de604a6a299c827534fbabb8","first_computed_at":"2026-07-05T02:50:02.097001Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:50:02.097001Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b18erXpOCbNHszi1hhujdtUFcSWdjiAzhldQapSoRxZHlVTZnnyKh/+tpbC9Ra4u641DFZC2DQ/WjJCYe2iaAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:50:02.097395Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.08864","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70b375ed5ad48d4ba6e1d06d1b0bfe6b17e3edfb3be186387d398eaa32ec90f6","sha256:73ab01a7c04885c543abe751ebee5fbf0119c1a4f660a491866f1a8983ff259d"],"state_sha256":"afa94cdb7c6270adf17938fc198f3948acebba88b8058fcb1ad9105a3817866d"}