{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TRGU3JSOXSLPTD4EO4ZWA3SG6K","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":"462aed6697e2caa7278b57a16c9be6ca2b24ddc2161c06788bd28a05da877ef1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-07T17:45:35Z","title_canon_sha256":"4ff09948514176d7d7c1f7ba9f2d2a86fc9a977734f1f42f5f119b8ed84038d2"},"schema_version":"1.0","source":{"id":"2304.03752","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.03752","created_at":"2026-07-05T06:57:22Z"},{"alias_kind":"arxiv_version","alias_value":"2304.03752v2","created_at":"2026-07-05T06:57:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.03752","created_at":"2026-07-05T06:57:22Z"},{"alias_kind":"pith_short_12","alias_value":"TRGU3JSOXSLP","created_at":"2026-07-05T06:57:22Z"},{"alias_kind":"pith_short_16","alias_value":"TRGU3JSOXSLPTD4E","created_at":"2026-07-05T06:57:22Z"},{"alias_kind":"pith_short_8","alias_value":"TRGU3JSO","created_at":"2026-07-05T06:57:22Z"}],"graph_snapshots":[{"event_id":"sha256:5ff1e184a77c47c8ad573bebf62e1aeedb36776d26fd6f2245d008ea29cbda38","target":"graph","created_at":"2026-07-05T06:57:22Z","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/2304.03752/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in detecting arbitrary objects in the real world are trained and evaluated on object detection datasets with a relatively restricted vocabulary. To facilitate the development of more general visual object detection, we propose V3Det, a vast vocabulary visual detection dataset with precisely annotated bounding boxes on massive images. V3Det has several appealing properties: 1) Vast Vocabulary: It contains bounding boxes of objects from 13,204 categories on real-world images, which is 10 times larger than the existing large vocabulary object detection dataset, e.g., LVIS. 2) Hier","authors_text":"Bin Wang, Conghui He, Dahua Lin, Jiaqi Wang, Pan Zhang, Tao Chu, Tong Wu, Yuhang Cao, Yujie Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-07T17:45:35Z","title":"V3Det: Vast Vocabulary Visual Detection Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.03752","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:bb277d13c4ce7c3e90a8a5680738e7fbe57bad7790ef5a05dc7feed7fa68f490","target":"record","created_at":"2026-07-05T06:57:22Z","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":"462aed6697e2caa7278b57a16c9be6ca2b24ddc2161c06788bd28a05da877ef1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-07T17:45:35Z","title_canon_sha256":"4ff09948514176d7d7c1f7ba9f2d2a86fc9a977734f1f42f5f119b8ed84038d2"},"schema_version":"1.0","source":{"id":"2304.03752","kind":"arxiv","version":2}},"canonical_sha256":"9c4d4da64ebc96f98f847733606e46f2b292410a720d5f078591e2482874b4fb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c4d4da64ebc96f98f847733606e46f2b292410a720d5f078591e2482874b4fb","first_computed_at":"2026-07-05T06:57:22.404636Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:57:22.404636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"58EmkzmbXAT7YQEXEu5kfJtK5zYKv5eU8oX4HM4+bjZ8x0Jz58R8/s0zCYcgsFJkMW4RYxRgb1f4vTMmGOWyCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:57:22.404993Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.03752","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb277d13c4ce7c3e90a8a5680738e7fbe57bad7790ef5a05dc7feed7fa68f490","sha256:5ff1e184a77c47c8ad573bebf62e1aeedb36776d26fd6f2245d008ea29cbda38"],"state_sha256":"e94f412c8887379fc807f2c1e758e1cb67223a993d45ecdd18133436aec57d04"}