{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TRGU3JSOXSLPTD4EO4ZWA3SG6K","short_pith_number":"pith:TRGU3JSO","canonical_record":{"source":{"id":"2304.03752","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-07T17:45:35Z","cross_cats_sorted":[],"title_canon_sha256":"4ff09948514176d7d7c1f7ba9f2d2a86fc9a977734f1f42f5f119b8ed84038d2","abstract_canon_sha256":"462aed6697e2caa7278b57a16c9be6ca2b24ddc2161c06788bd28a05da877ef1"},"schema_version":"1.0"},"canonical_sha256":"9c4d4da64ebc96f98f847733606e46f2b292410a720d5f078591e2482874b4fb","source":{"kind":"arxiv","id":"2304.03752","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TRGU3JSOXSLPTD4EO4ZWA3SG6K","target":"record","payload":{"canonical_record":{"source":{"id":"2304.03752","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-07T17:45:35Z","cross_cats_sorted":[],"title_canon_sha256":"4ff09948514176d7d7c1f7ba9f2d2a86fc9a977734f1f42f5f119b8ed84038d2","abstract_canon_sha256":"462aed6697e2caa7278b57a16c9be6ca2b24ddc2161c06788bd28a05da877ef1"},"schema_version":"1.0"},"canonical_sha256":"9c4d4da64ebc96f98f847733606e46f2b292410a720d5f078591e2482874b4fb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:57:22.404993Z","signature_b64":"58EmkzmbXAT7YQEXEu5kfJtK5zYKv5eU8oX4HM4+bjZ8x0Jz58R8/s0zCYcgsFJkMW4RYxRgb1f4vTMmGOWyCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c4d4da64ebc96f98f847733606e46f2b292410a720d5f078591e2482874b4fb","last_reissued_at":"2026-07-05T06:57:22.404636Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:57:22.404636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.03752","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:57:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o/lY95/dBICXDGMK3maXUYMV92X7SsSk2usWGel2/D6MsIVjYcuDyHaZYjjSlIn8MHbaLyhL/xoJ3PB7Ilu5DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:16:02.708529Z"},"content_sha256":"bb277d13c4ce7c3e90a8a5680738e7fbe57bad7790ef5a05dc7feed7fa68f490","schema_version":"1.0","event_id":"sha256:bb277d13c4ce7c3e90a8a5680738e7fbe57bad7790ef5a05dc7feed7fa68f490"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TRGU3JSOXSLPTD4EO4ZWA3SG6K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"V3Det: Vast Vocabulary Visual Detection Dataset","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Wang, Conghui He, Dahua Lin, Jiaqi Wang, Pan Zhang, Tao Chu, Tong Wu, Yuhang Cao, Yujie Zhou","submitted_at":"2023-04-07T17:45:35Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.03752","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2304.03752/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:57:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M+NR3gDEhKZeuBUl5vVIQhox+QSwlUCxXYCvuCFw6ax4TQqEaoYvZ025qNwZgQ8cUTPKZ5XBtG1DlGZPUyISDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T17:16:02.709033Z"},"content_sha256":"5ff1e184a77c47c8ad573bebf62e1aeedb36776d26fd6f2245d008ea29cbda38","schema_version":"1.0","event_id":"sha256:5ff1e184a77c47c8ad573bebf62e1aeedb36776d26fd6f2245d008ea29cbda38"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TRGU3JSOXSLPTD4EO4ZWA3SG6K/bundle.json","state_url":"https://pith.science/pith/TRGU3JSOXSLPTD4EO4ZWA3SG6K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TRGU3JSOXSLPTD4EO4ZWA3SG6K/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T17:16:02Z","links":{"resolver":"https://pith.science/pith/TRGU3JSOXSLPTD4EO4ZWA3SG6K","bundle":"https://pith.science/pith/TRGU3JSOXSLPTD4EO4ZWA3SG6K/bundle.json","state":"https://pith.science/pith/TRGU3JSOXSLPTD4EO4ZWA3SG6K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TRGU3JSOXSLPTD4EO4ZWA3SG6K/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hg/82rt9w/KvXxT8n7sZT+0zZAmZ5Ap8P4oLtfsAT4CJ1L6iXbk4/93oIR82cUT0Myopx0yCgoAEgCCMOAZ4Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T17:16:02.714388Z","bundle_sha256":"c5cb658ed59347aa0a7b0a6cba5fe687ac9f880b7b6f13b3b602a0211a3ada0b"}}