{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SCPZIE4OHL7UFA7VFTWSFBVNAL","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":"9d6d523bb07f15b87fddd6a978063681956a47f44122043ac1919a383b9aa6f2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-30T16:13:00Z","title_canon_sha256":"4b987c40e6926fe40c48b34b2207ae82dc86087f2d676ee056a7140bb5f46161"},"schema_version":"1.0","source":{"id":"2307.16265","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.16265","created_at":"2026-07-05T06:36:01Z"},{"alias_kind":"arxiv_version","alias_value":"2307.16265v1","created_at":"2026-07-05T06:36:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.16265","created_at":"2026-07-05T06:36:01Z"},{"alias_kind":"pith_short_12","alias_value":"SCPZIE4OHL7U","created_at":"2026-07-05T06:36:01Z"},{"alias_kind":"pith_short_16","alias_value":"SCPZIE4OHL7UFA7V","created_at":"2026-07-05T06:36:01Z"},{"alias_kind":"pith_short_8","alias_value":"SCPZIE4O","created_at":"2026-07-05T06:36:01Z"}],"graph_snapshots":[{"event_id":"sha256:4f3703bd9b4618d37c9b495ee8af5eff5b95a8a726cf827f8221586f34552e98","target":"graph","created_at":"2026-07-05T06:36:01Z","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/2307.16265/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hierarchical multi-label text classification aims to classify the input text into multiple labels, among which the labels are structured and hierarchical. It is a vital task in many real world applications, e.g. scientific literature archiving. In this paper, we survey the recent progress of hierarchical multi-label text classification, including the open sourced data sets, the main methods, evaluation metrics, learning strategies and the current challenges. A few future research directions are also listed for community to further improve this field.","authors_text":"He Zhang, Ming Liu, Rundong Liu, Ruohua Xu, Weijun Luo, Wenhan Liang, Yunfeng Li, Yuxiang Song","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-30T16:13:00Z","title":"Recent Advances in Hierarchical Multi-label Text Classification: A Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.16265","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:e16b7e5e95d563a130cdcecc7789f318b434e6ec8f2354cb64607988e68c15ea","target":"record","created_at":"2026-07-05T06:36:01Z","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":"9d6d523bb07f15b87fddd6a978063681956a47f44122043ac1919a383b9aa6f2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-07-30T16:13:00Z","title_canon_sha256":"4b987c40e6926fe40c48b34b2207ae82dc86087f2d676ee056a7140bb5f46161"},"schema_version":"1.0","source":{"id":"2307.16265","kind":"arxiv","version":1}},"canonical_sha256":"909f94138e3aff4283f52ced2286ad02fe5047b7638eafb264d5de4628c99d3f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"909f94138e3aff4283f52ced2286ad02fe5047b7638eafb264d5de4628c99d3f","first_computed_at":"2026-07-05T06:36:01.073095Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:36:01.073095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nUsR/8sjK63q2RdIA/tMsJAkDXM3m4ORqoDTBFo+wEHlS1TsaVwuj72sWQr3Tsyo8idUgldyFgC9IyX8gloVCA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:36:01.073507Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.16265","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e16b7e5e95d563a130cdcecc7789f318b434e6ec8f2354cb64607988e68c15ea","sha256:4f3703bd9b4618d37c9b495ee8af5eff5b95a8a726cf827f8221586f34552e98"],"state_sha256":"d29edb43befc7b2f1e82cc643d982eac8c30ca7909938bfcfcda7762ab3ce0b5"}