{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:L2VQD4LUJO6IPUHSRNW5S533IL","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":"5639542aa1e270abe2d1e4373d166bee6cfbd0b9abc6ad8e4ca6aaa944b8acd7","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-14T12:53:57Z","title_canon_sha256":"7bbcfd2a406a66ec0297d546abc8a738f4847da32de4a4d47998d9f174857741"},"schema_version":"1.0","source":{"id":"1904.06689","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.06689","created_at":"2026-05-17T23:48:36Z"},{"alias_kind":"arxiv_version","alias_value":"1904.06689v1","created_at":"2026-05-17T23:48:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.06689","created_at":"2026-05-17T23:48:36Z"},{"alias_kind":"pith_short_12","alias_value":"L2VQD4LUJO6I","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"L2VQD4LUJO6IPUHS","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"L2VQD4LU","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:5ebd7b9417197a5bc5285f518e8ccfa9088ccf9f3160dd85696bcc2a313cf51b","target":"graph","created_at":"2026-05-17T23:48:36Z","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"},"paper":{"abstract_excerpt":"Multi-label learning draws great interests in many real world applications. It is a highly costly task to assign many labels by the oracle for one instance. Meanwhile, it is also hard to build a good model without diagnosing discriminative labels. Can we reduce the label costs and improve the ability to train a good model for multi-label learning simultaneously?\n  Active learning addresses the less training samples problem by querying the most valuable samples to achieve a better performance with little costs. In multi-label active learning, some researches have been done for querying the rele","authors_text":"Bo Du, Dacheng Tao, Lefei Zhang, Liangpei Zhang, Zengmao Wang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-14T12:53:57Z","title":"Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.06689","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":"sha256:08841e5c0db9e0d0df29fea3def7f3317f76d892641f92932bf710ac7899dc39","target":"record","created_at":"2026-05-17T23:48:36Z","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":"5639542aa1e270abe2d1e4373d166bee6cfbd0b9abc6ad8e4ca6aaa944b8acd7","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-14T12:53:57Z","title_canon_sha256":"7bbcfd2a406a66ec0297d546abc8a738f4847da32de4a4d47998d9f174857741"},"schema_version":"1.0","source":{"id":"1904.06689","kind":"arxiv","version":1}},"canonical_sha256":"5eab01f1744bbc87d0f28b6dd9777b42eff8d3448b395514713d3a56ba215667","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5eab01f1744bbc87d0f28b6dd9777b42eff8d3448b395514713d3a56ba215667","first_computed_at":"2026-05-17T23:48:36.477814Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:36.477814Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5bW/QwDrMATTuUGTJmAgxsqZ50xFJh/mBRa40zWfFD9t8CVSQHGa9ji4D452M4MUWK9aj7sBNRQ66XZ47CJ7DQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:36.478293Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.06689","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08841e5c0db9e0d0df29fea3def7f3317f76d892641f92932bf710ac7899dc39","sha256:5ebd7b9417197a5bc5285f518e8ccfa9088ccf9f3160dd85696bcc2a313cf51b"],"state_sha256":"90f6e5577b3eeab9fff5cf7ddff04afa0800739188d480fff363c42f93846c70"}