{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:ZLESWAWFJGFMBJBLH43C64CEAP","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":"1fa88ceada6efbebcdd313b0ea490ed37eb8b434aa1e42fbb36db1c0431e1054","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-15T06:49:12Z","title_canon_sha256":"3593ba838536713437de759adb9de89788a4c3972fe9f748a85d5f456e3eb832"},"schema_version":"1.0","source":{"id":"1709.05072","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.05072","created_at":"2026-05-18T00:35:06Z"},{"alias_kind":"arxiv_version","alias_value":"1709.05072v1","created_at":"2026-05-18T00:35:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.05072","created_at":"2026-05-18T00:35:06Z"},{"alias_kind":"pith_short_12","alias_value":"ZLESWAWFJGFM","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZLESWAWFJGFMBJBL","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZLESWAWF","created_at":"2026-05-18T12:31:59Z"}],"graph_snapshots":[{"event_id":"sha256:c59f8a9b6fc6466b6c9492d622db441bb4fc5e6cc44cadd5d992586df827dc3c","target":"graph","created_at":"2026-05-18T00:35:06Z","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":"We investigate the scalable image classification problem with a large number of categories. Hierarchical visual data structures are helpful for improving the efficiency and performance of large-scale multi-class classification. We propose a novel image classification method based on learning hierarchical inter-class structures. Specifically, we first design a fast algorithm to compute the similarity metric between categories, based on which a visual tree is constructed by hierarchical spectral clustering. Using the learned visual tree, a test sample label is efficiently predicted by searching ","authors_text":"Chang Lu, Dacheng Tao, Fumin Shen, Li Lin, Yang Wu, Yanyun Qu, Yuan Xie","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-15T06:49:12Z","title":"Joint Hierarchical Category Structure Learning and Large-Scale Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.05072","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":"sha256:4268b924281f8aab643ea696ceb9933fd73da1e7f29d8daf718604d47177740e","target":"record","created_at":"2026-05-18T00:35:06Z","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":"1fa88ceada6efbebcdd313b0ea490ed37eb8b434aa1e42fbb36db1c0431e1054","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-15T06:49:12Z","title_canon_sha256":"3593ba838536713437de759adb9de89788a4c3972fe9f748a85d5f456e3eb832"},"schema_version":"1.0","source":{"id":"1709.05072","kind":"arxiv","version":1}},"canonical_sha256":"cac92b02c5498ac0a42b3f362f704403f62a41e0e7195e1c9775c503dafeed47","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cac92b02c5498ac0a42b3f362f704403f62a41e0e7195e1c9775c503dafeed47","first_computed_at":"2026-05-18T00:35:06.772842Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:06.772842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g3K+naT/tRf/crebUtwBSTBymv7sYmKrYonCVR0v617xbP0GZ4eA2ArUyV8nv0u2S7LjnZVC+T6aLQIwF1pyCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:06.773291Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.05072","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4268b924281f8aab643ea696ceb9933fd73da1e7f29d8daf718604d47177740e","sha256:c59f8a9b6fc6466b6c9492d622db441bb4fc5e6cc44cadd5d992586df827dc3c"],"state_sha256":"fc4001f45d53d6d8ac0923f43c1f301062897819baaa500a17b99948bcdda1a1"}