{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:66VQP4NNNQNFFZPZHBS6UOJ2QE","short_pith_number":"pith:66VQP4NN","canonical_record":{"source":{"id":"2212.08051","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-12-15T18:56:53Z","cross_cats_sorted":["cs.AI","cs.GR","cs.RO"],"title_canon_sha256":"c6d0e5d88e8cc7709b4eeeb6515875cf47b6fc4f186103a0ac1cedbf266c7f92","abstract_canon_sha256":"846d6b14410e9f8c2429e58d3fdabd738be9af81a24d5b200f7688e4f43aadd5"},"schema_version":"1.0"},"canonical_sha256":"f7ab07f1ad6c1a52e5f93865ea393a810d6eda40648cbd6f45b6531075033f74","source":{"kind":"arxiv","id":"2212.08051","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.08051","created_at":"2026-07-05T05:25:40Z"},{"alias_kind":"arxiv_version","alias_value":"2212.08051v1","created_at":"2026-07-05T05:25:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.08051","created_at":"2026-07-05T05:25:40Z"},{"alias_kind":"pith_short_12","alias_value":"66VQP4NNNQNF","created_at":"2026-07-05T05:25:40Z"},{"alias_kind":"pith_short_16","alias_value":"66VQP4NNNQNFFZPZ","created_at":"2026-07-05T05:25:40Z"},{"alias_kind":"pith_short_8","alias_value":"66VQP4NN","created_at":"2026-07-05T05:25:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:66VQP4NNNQNFFZPZHBS6UOJ2QE","target":"record","payload":{"canonical_record":{"source":{"id":"2212.08051","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-12-15T18:56:53Z","cross_cats_sorted":["cs.AI","cs.GR","cs.RO"],"title_canon_sha256":"c6d0e5d88e8cc7709b4eeeb6515875cf47b6fc4f186103a0ac1cedbf266c7f92","abstract_canon_sha256":"846d6b14410e9f8c2429e58d3fdabd738be9af81a24d5b200f7688e4f43aadd5"},"schema_version":"1.0"},"canonical_sha256":"f7ab07f1ad6c1a52e5f93865ea393a810d6eda40648cbd6f45b6531075033f74","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:25:40.186881Z","signature_b64":"K5AL1FfuR0IYDLoNZ6ZxOQtH+qgwHE3VcdEOv+jP1q+l9om9tRjlohk9cphB/xr9IHONqi8NT7UhQ8UYc0lWBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7ab07f1ad6c1a52e5f93865ea393a810d6eda40648cbd6f45b6531075033f74","last_reissued_at":"2026-07-05T05:25:40.186384Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:25:40.186384Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2212.08051","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:25:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sK4QqqvCLnaezO8pQGkO/HXcFkLGjjJGl7Y+eXHzHutojeb/Z9LBUciW8eDoY9Nj7pGfVJcSFKb+sdbAWmYXBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T00:49:20.290221Z"},"content_sha256":"2d858a7be70177ac7358057b1733bee879491e689d453a4c4c6e36f95c7ea35f","schema_version":"1.0","event_id":"sha256:2d858a7be70177ac7358057b1733bee879491e689d453a4c4c6e36f95c7ea35f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:66VQP4NNNQNFFZPZHBS6UOJ2QE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Objaverse: A Universe of Annotated 3D Objects","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.GR","cs.RO"],"primary_cat":"cs.CV","authors_text":"Ali Farhadi, Aniruddha Kembhavi, Dustin Schwenk, Eli VanderBilt, Jordi Salvador, Kiana Ehsani, Luca Weihs, Ludwig Schmidt, Matt Deitke, Oscar Michel","submitted_at":"2022-12-15T18:56:53Z","abstract_excerpt":"Massive data corpora like WebText, Wikipedia, Conceptual Captions, WebImageText, and LAION have propelled recent dramatic progress in AI. Large neural models trained on such datasets produce impressive results and top many of today's benchmarks. A notable omission within this family of large-scale datasets is 3D data. Despite considerable interest and potential applications in 3D vision, datasets of high-fidelity 3D models continue to be mid-sized with limited diversity of object categories. Addressing this gap, we present Objaverse 1.0, a large dataset of objects with 800K+ (and growing) 3D m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.08051","kind":"arxiv","version":1},"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/2212.08051/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":"2026-07-05T05:25:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HtsQQPA9hcUkvLKusqYOwl2a8Are0xwgsxnjcRLagKKjAlBvxcmpxKEJ7DjuXgPsF4L2WSKxs0ux06BAkbCLBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T00:49:20.290728Z"},"content_sha256":"599ca9af129fed908a86e6de06088fe14e17a808e454cfbca730061e19c88ebb","schema_version":"1.0","event_id":"sha256:599ca9af129fed908a86e6de06088fe14e17a808e454cfbca730061e19c88ebb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/66VQP4NNNQNFFZPZHBS6UOJ2QE/bundle.json","state_url":"https://pith.science/pith/66VQP4NNNQNFFZPZHBS6UOJ2QE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/66VQP4NNNQNFFZPZHBS6UOJ2QE/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":"2026-08-22T00:49:20Z","links":{"resolver":"https://pith.science/pith/66VQP4NNNQNFFZPZHBS6UOJ2QE","bundle":"https://pith.science/pith/66VQP4NNNQNFFZPZHBS6UOJ2QE/bundle.json","state":"https://pith.science/pith/66VQP4NNNQNFFZPZHBS6UOJ2QE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/66VQP4NNNQNFFZPZHBS6UOJ2QE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:66VQP4NNNQNFFZPZHBS6UOJ2QE","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":"846d6b14410e9f8c2429e58d3fdabd738be9af81a24d5b200f7688e4f43aadd5","cross_cats_sorted":["cs.AI","cs.GR","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-12-15T18:56:53Z","title_canon_sha256":"c6d0e5d88e8cc7709b4eeeb6515875cf47b6fc4f186103a0ac1cedbf266c7f92"},"schema_version":"1.0","source":{"id":"2212.08051","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.08051","created_at":"2026-07-05T05:25:40Z"},{"alias_kind":"arxiv_version","alias_value":"2212.08051v1","created_at":"2026-07-05T05:25:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.08051","created_at":"2026-07-05T05:25:40Z"},{"alias_kind":"pith_short_12","alias_value":"66VQP4NNNQNF","created_at":"2026-07-05T05:25:40Z"},{"alias_kind":"pith_short_16","alias_value":"66VQP4NNNQNFFZPZ","created_at":"2026-07-05T05:25:40Z"},{"alias_kind":"pith_short_8","alias_value":"66VQP4NN","created_at":"2026-07-05T05:25:40Z"}],"graph_snapshots":[{"event_id":"sha256:599ca9af129fed908a86e6de06088fe14e17a808e454cfbca730061e19c88ebb","target":"graph","created_at":"2026-07-05T05:25:40Z","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/2212.08051/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Massive data corpora like WebText, Wikipedia, Conceptual Captions, WebImageText, and LAION have propelled recent dramatic progress in AI. Large neural models trained on such datasets produce impressive results and top many of today's benchmarks. A notable omission within this family of large-scale datasets is 3D data. Despite considerable interest and potential applications in 3D vision, datasets of high-fidelity 3D models continue to be mid-sized with limited diversity of object categories. Addressing this gap, we present Objaverse 1.0, a large dataset of objects with 800K+ (and growing) 3D m","authors_text":"Ali Farhadi, Aniruddha Kembhavi, Dustin Schwenk, Eli VanderBilt, Jordi Salvador, Kiana Ehsani, Luca Weihs, Ludwig Schmidt, Matt Deitke, Oscar Michel","cross_cats":["cs.AI","cs.GR","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-12-15T18:56:53Z","title":"Objaverse: A Universe of Annotated 3D Objects"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.08051","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":"sha256:2d858a7be70177ac7358057b1733bee879491e689d453a4c4c6e36f95c7ea35f","target":"record","created_at":"2026-07-05T05:25:40Z","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":"846d6b14410e9f8c2429e58d3fdabd738be9af81a24d5b200f7688e4f43aadd5","cross_cats_sorted":["cs.AI","cs.GR","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-12-15T18:56:53Z","title_canon_sha256":"c6d0e5d88e8cc7709b4eeeb6515875cf47b6fc4f186103a0ac1cedbf266c7f92"},"schema_version":"1.0","source":{"id":"2212.08051","kind":"arxiv","version":1}},"canonical_sha256":"f7ab07f1ad6c1a52e5f93865ea393a810d6eda40648cbd6f45b6531075033f74","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7ab07f1ad6c1a52e5f93865ea393a810d6eda40648cbd6f45b6531075033f74","first_computed_at":"2026-07-05T05:25:40.186384Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:25:40.186384Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K5AL1FfuR0IYDLoNZ6ZxOQtH+qgwHE3VcdEOv+jP1q+l9om9tRjlohk9cphB/xr9IHONqi8NT7UhQ8UYc0lWBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:25:40.186881Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.08051","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d858a7be70177ac7358057b1733bee879491e689d453a4c4c6e36f95c7ea35f","sha256:599ca9af129fed908a86e6de06088fe14e17a808e454cfbca730061e19c88ebb"],"state_sha256":"0d95cc892c4312a0782e1a185fd2edd62114b3aa96d1f7e4318afbfa042740ec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h7F8L+hMFP0i5U/BXv74jxST1eH6M6o+YamHccijwYb/S+mIStgeU6A9e9SlXEFLnynDzJ9qHmHOUPQKzcUlAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T00:49:20.294651Z","bundle_sha256":"04c6437dd2a9f21bfbebbc0a812891785f6e81844a5cbbeaa27816c6019d77d9"}}