{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:7OBITV5F7DDEXWFNFR4LG64TVF","short_pith_number":"pith:7OBITV5F","canonical_record":{"source":{"id":"2210.14267","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-25T18:45:08Z","cross_cats_sorted":["cs.AI","cs.GR"],"title_canon_sha256":"171a49759e579f39f92fb8969d7ce8710503c4e216c9ac31f6852c183abe6510","abstract_canon_sha256":"a92c538dcf456b4230b264c7637f331181b5a387fc74ba804681e3e36480f320"},"schema_version":"1.0"},"canonical_sha256":"fb8289d7a5f8c64bd8ad2c78b37b93a96ed35f55f2d9e093d890062e5f582a63","source":{"kind":"arxiv","id":"2210.14267","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.14267","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"arxiv_version","alias_value":"2210.14267v3","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.14267","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_12","alias_value":"7OBITV5F7DDE","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_16","alias_value":"7OBITV5F7DDEXWFN","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_8","alias_value":"7OBITV5F","created_at":"2026-07-05T06:56:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:7OBITV5F7DDEXWFNFR4LG64TVF","target":"record","payload":{"canonical_record":{"source":{"id":"2210.14267","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-25T18:45:08Z","cross_cats_sorted":["cs.AI","cs.GR"],"title_canon_sha256":"171a49759e579f39f92fb8969d7ce8710503c4e216c9ac31f6852c183abe6510","abstract_canon_sha256":"a92c538dcf456b4230b264c7637f331181b5a387fc74ba804681e3e36480f320"},"schema_version":"1.0"},"canonical_sha256":"fb8289d7a5f8c64bd8ad2c78b37b93a96ed35f55f2d9e093d890062e5f582a63","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:56:30.456680Z","signature_b64":"zK54i92WsggteJOps6wYHz/tWxIBiioWMw7F8EUM9VJsbx9IZn3ArtxzJgByyIsKI2mjRBV/J7lAVnojhfiUCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fb8289d7a5f8c64bd8ad2c78b37b93a96ed35f55f2d9e093d890062e5f582a63","last_reissued_at":"2026-07-05T06:56:30.456243Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:56:30.456243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.14267","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:56:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8p+sW1FMlXHaymBC0NHZ3q5/MselY9pDiJG7QZNauGRowxQRd6pfU7C+AXFuDahFM8a/xqmISc9cWFkmXGy5DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:41:05.730825Z"},"content_sha256":"dd9b0df3c87020651e6f49fa944e08ffacae7692995987a8e4d64720d9aa4965","schema_version":"1.0","event_id":"sha256:dd9b0df3c87020651e6f49fa944e08ffacae7692995987a8e4d64720d9aa4965"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:7OBITV5F7DDEXWFNFR4LG64TVF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey on Deep Generative 3D-aware Image Synthesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.GR"],"primary_cat":"cs.CV","authors_text":"Jing-Hao Xue, Weihao Xia","submitted_at":"2022-10-25T18:45:08Z","abstract_excerpt":"Recent years have seen remarkable progress in deep learning powered visual content creation. This includes deep generative 3D-aware image synthesis, which produces high-idelity images in a 3D-consistent manner while simultaneously capturing compact surfaces of objects from pure image collections without the need for any 3D supervision, thus bridging the gap between 2D imagery and 3D reality. The ield of computer vision has been recently captivated by the task of deep generative 3D-aware image synthesis, with hundreds of papers appearing in top-tier journals and conferences over the past few ye"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.14267","kind":"arxiv","version":3},"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/2210.14267/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":"2026-07-05T06:56:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vvKq8KJeOw/gwqq37qWSac/5jyBOrjDVPCGOEn0t1RS/33ww6Ep8OK1/N6sH49SCQagD+IG6fZ9RNHZJDevYDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:41:05.731200Z"},"content_sha256":"2e05987ce513410582c688655ef6dc4846ced646b8d600e45e036f62bbdc0b9a","schema_version":"1.0","event_id":"sha256:2e05987ce513410582c688655ef6dc4846ced646b8d600e45e036f62bbdc0b9a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7OBITV5F7DDEXWFNFR4LG64TVF/bundle.json","state_url":"https://pith.science/pith/7OBITV5F7DDEXWFNFR4LG64TVF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7OBITV5F7DDEXWFNFR4LG64TVF/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":"2026-07-09T05:41:05Z","links":{"resolver":"https://pith.science/pith/7OBITV5F7DDEXWFNFR4LG64TVF","bundle":"https://pith.science/pith/7OBITV5F7DDEXWFNFR4LG64TVF/bundle.json","state":"https://pith.science/pith/7OBITV5F7DDEXWFNFR4LG64TVF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7OBITV5F7DDEXWFNFR4LG64TVF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:7OBITV5F7DDEXWFNFR4LG64TVF","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":"a92c538dcf456b4230b264c7637f331181b5a387fc74ba804681e3e36480f320","cross_cats_sorted":["cs.AI","cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-25T18:45:08Z","title_canon_sha256":"171a49759e579f39f92fb8969d7ce8710503c4e216c9ac31f6852c183abe6510"},"schema_version":"1.0","source":{"id":"2210.14267","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.14267","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"arxiv_version","alias_value":"2210.14267v3","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.14267","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_12","alias_value":"7OBITV5F7DDE","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_16","alias_value":"7OBITV5F7DDEXWFN","created_at":"2026-07-05T06:56:30Z"},{"alias_kind":"pith_short_8","alias_value":"7OBITV5F","created_at":"2026-07-05T06:56:30Z"}],"graph_snapshots":[{"event_id":"sha256:2e05987ce513410582c688655ef6dc4846ced646b8d600e45e036f62bbdc0b9a","target":"graph","created_at":"2026-07-05T06:56:30Z","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/2210.14267/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent years have seen remarkable progress in deep learning powered visual content creation. This includes deep generative 3D-aware image synthesis, which produces high-idelity images in a 3D-consistent manner while simultaneously capturing compact surfaces of objects from pure image collections without the need for any 3D supervision, thus bridging the gap between 2D imagery and 3D reality. The ield of computer vision has been recently captivated by the task of deep generative 3D-aware image synthesis, with hundreds of papers appearing in top-tier journals and conferences over the past few ye","authors_text":"Jing-Hao Xue, Weihao Xia","cross_cats":["cs.AI","cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-25T18:45:08Z","title":"A Survey on Deep Generative 3D-aware Image Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.14267","kind":"arxiv","version":3},"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:dd9b0df3c87020651e6f49fa944e08ffacae7692995987a8e4d64720d9aa4965","target":"record","created_at":"2026-07-05T06:56:30Z","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":"a92c538dcf456b4230b264c7637f331181b5a387fc74ba804681e3e36480f320","cross_cats_sorted":["cs.AI","cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-25T18:45:08Z","title_canon_sha256":"171a49759e579f39f92fb8969d7ce8710503c4e216c9ac31f6852c183abe6510"},"schema_version":"1.0","source":{"id":"2210.14267","kind":"arxiv","version":3}},"canonical_sha256":"fb8289d7a5f8c64bd8ad2c78b37b93a96ed35f55f2d9e093d890062e5f582a63","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fb8289d7a5f8c64bd8ad2c78b37b93a96ed35f55f2d9e093d890062e5f582a63","first_computed_at":"2026-07-05T06:56:30.456243Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:56:30.456243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zK54i92WsggteJOps6wYHz/tWxIBiioWMw7F8EUM9VJsbx9IZn3ArtxzJgByyIsKI2mjRBV/J7lAVnojhfiUCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:56:30.456680Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.14267","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd9b0df3c87020651e6f49fa944e08ffacae7692995987a8e4d64720d9aa4965","sha256:2e05987ce513410582c688655ef6dc4846ced646b8d600e45e036f62bbdc0b9a"],"state_sha256":"127dfa62854d5112f49adb74bd34a83ba828139c9761cb8eeec046f05f6d9ec9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wcs20VxpLd78f/zBNKSESWpOpOV1V3+q7TJ8TzgOQG9i6X7vdLT5d++qccvsvYB4aA7kvJUQlI6hjYte/SC6Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:41:05.733816Z","bundle_sha256":"3c6033ef03df9a00ab82be1b2e34edb392a64b6cd22d26d9fe313f5642fb53e6"}}