{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:OYHWORF4P65OEH75UR6R7PVWPF","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":"48b9125235f1a4750b4321909f43c9674095245c5a930451ebb3a83061b70042","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-12T04:58:34Z","title_canon_sha256":"07f2139eda8b3c1c8df23d08b360ab0336da9293d59a0eb8b1401f65c245ac6f"},"schema_version":"1.0","source":{"id":"1804.04314","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.04314","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"arxiv_version","alias_value":"1804.04314v2","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.04314","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"pith_short_12","alias_value":"OYHWORF4P65O","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"pith_short_16","alias_value":"OYHWORF4P65OEH75","created_at":"2026-07-05T02:20:51Z"},{"alias_kind":"pith_short_8","alias_value":"OYHWORF4","created_at":"2026-07-05T02:20:51Z"}],"graph_snapshots":[{"event_id":"sha256:1f44424e4eb1bda5d81b6f3829b4c9aed3db58d84c6b4d160865aca3c8b2bb5d","target":"graph","created_at":"2026-07-05T02:20:51Z","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/1804.04314/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Zero-Shot Learning (ZSL) has attracted huge research attention over the past few years; it aims to learn the new concepts that have never been seen before. In classical ZSL algorithms, attributes are introduced as the intermediate semantic representation to realize the knowledge transfer from seen classes to unseen classes. Previous ZSL algorithms are tested on several benchmark datasets annotated with attributes. However, these datasets are defective in terms of the image distribution and attribute diversity. In addition, we argue that the \"co-occurrence bias problem\" of existing datasets, wh","authors_text":"Bo Zhao, Jiahong Wu, Rui Liang, Yanwei Fu, Yizhou Wang, Yonggang Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-12T04:58:34Z","title":"A Large-scale Attribute Dataset for Zero-shot Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.04314","kind":"arxiv","version":2},"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:fef5bef275061c69e16618f20a64883be6c9e6a4975b08d46d576e833df6d289","target":"record","created_at":"2026-07-05T02:20:51Z","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":"48b9125235f1a4750b4321909f43c9674095245c5a930451ebb3a83061b70042","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-12T04:58:34Z","title_canon_sha256":"07f2139eda8b3c1c8df23d08b360ab0336da9293d59a0eb8b1401f65c245ac6f"},"schema_version":"1.0","source":{"id":"1804.04314","kind":"arxiv","version":2}},"canonical_sha256":"760f6744bc7fbae21ffda47d1fbeb67973d05e23e06a387154bb2fbee7040c4d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"760f6744bc7fbae21ffda47d1fbeb67973d05e23e06a387154bb2fbee7040c4d","first_computed_at":"2026-07-05T02:20:51.310022Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:20:51.310022Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Nyn6VJjwtTAtKyWuW8DC1IBDi6sWlhqsEQbaEfP1prVVrLlvGssUFkh2jvJlKSH2pSOJCotLF5soXgn/LkV1Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:20:51.310508Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.04314","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fef5bef275061c69e16618f20a64883be6c9e6a4975b08d46d576e833df6d289","sha256:1f44424e4eb1bda5d81b6f3829b4c9aed3db58d84c6b4d160865aca3c8b2bb5d"],"state_sha256":"a90c17de9cec31fc9cf66ca24c43a6ac4726eccb4fc0f6e7cd17e0c9f1cd69ff"}