{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:WKBXB6I6F6RWHNCEX6JFU4XWMZ","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":"c699fd651b0a7ff84f060740e8af269cff1c8bc956af8222f48b327880fe974b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-02T20:05:00Z","title_canon_sha256":"f74191fb3311aac537185abd7700b33bd18f289497c1cca3c7852e5ca769f248"},"schema_version":"1.0","source":{"id":"2203.01386","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.01386","created_at":"2026-07-05T04:41:11Z"},{"alias_kind":"arxiv_version","alias_value":"2203.01386v2","created_at":"2026-07-05T04:41:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.01386","created_at":"2026-07-05T04:41:11Z"},{"alias_kind":"pith_short_12","alias_value":"WKBXB6I6F6RW","created_at":"2026-07-05T04:41:11Z"},{"alias_kind":"pith_short_16","alias_value":"WKBXB6I6F6RWHNCE","created_at":"2026-07-05T04:41:11Z"},{"alias_kind":"pith_short_8","alias_value":"WKBXB6I6","created_at":"2026-07-05T04:41:11Z"}],"graph_snapshots":[{"event_id":"sha256:5d78c1a2308fc07d77914da37f44e0c203b5cdac317dbc8d2576dd17e29644dc","target":"graph","created_at":"2026-07-05T04:41:11Z","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/2203.01386/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The main question we address in this paper is how to scale up visual recognition of unseen classes, also known as zero-shot learning, to tens of thousands of categories as in the ImageNet-21K benchmark. At this scale, especially with many fine-grained categories included in ImageNet-21K, it is critical to learn quality visual semantic representations that are discriminative enough to recognize unseen classes and distinguish them from seen ones. We propose a \\emph{H}ierarchical \\emph{G}raphical knowledge \\emph{R}epresentation framework for the confidence-based classification method, dubbed as H","authors_text":"Kai Yi, Mohamed Elhoseiny, Xiaoqian Shen, Yunhao Gou","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-02T20:05:00Z","title":"Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.01386","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":"sha256:4a2204c37915f4f957e8f9cd3a3c2892b773e76d51fac79eb7b09f4a9785ac28","target":"record","created_at":"2026-07-05T04:41:11Z","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":"c699fd651b0a7ff84f060740e8af269cff1c8bc956af8222f48b327880fe974b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-02T20:05:00Z","title_canon_sha256":"f74191fb3311aac537185abd7700b33bd18f289497c1cca3c7852e5ca769f248"},"schema_version":"1.0","source":{"id":"2203.01386","kind":"arxiv","version":2}},"canonical_sha256":"b28370f91e2fa363b444bf925a72f6665d6fd915fc4c0d85b37e40b5890bc562","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b28370f91e2fa363b444bf925a72f6665d6fd915fc4c0d85b37e40b5890bc562","first_computed_at":"2026-07-05T04:41:11.470674Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:41:11.470674Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S5ZJ9wcUtjiYPwMmScGilRQy+UYIh07eDazfj1ehHBBKkmEsxN0hq0x6bzSwrkShiZHVEC52yl2afHuNdYb2CA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:41:11.471134Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.01386","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4a2204c37915f4f957e8f9cd3a3c2892b773e76d51fac79eb7b09f4a9785ac28","sha256:5d78c1a2308fc07d77914da37f44e0c203b5cdac317dbc8d2576dd17e29644dc"],"state_sha256":"64ec2779dc55dbdb49a357555b76eb1aea0212bf37213a1edbeb8fe03eac5b89"}