{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ORZSIP7WEVDBXHW6V5I5NCO7JA","short_pith_number":"pith:ORZSIP7W","canonical_record":{"source":{"id":"2305.06131","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-10T13:26:08Z","cross_cats_sorted":[],"title_canon_sha256":"fa9fd80ce211929de6f5b38fc6e990079e53a3df49fbc2ecf25649da0c9c460a","abstract_canon_sha256":"a104811b1f9be5d9338b82b546a07b6b18300c56b077b3a8de74a48cf3d9e85e"},"schema_version":"1.0"},"canonical_sha256":"7473243ff625461b9edeaf51d689df4820f9ebcf80fff8a5d030d6d88fd711ff","source":{"kind":"arxiv","id":"2305.06131","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.06131","created_at":"2026-07-05T09:25:29Z"},{"alias_kind":"arxiv_version","alias_value":"2305.06131v4","created_at":"2026-07-05T09:25:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.06131","created_at":"2026-07-05T09:25:29Z"},{"alias_kind":"pith_short_12","alias_value":"ORZSIP7WEVDB","created_at":"2026-07-05T09:25:29Z"},{"alias_kind":"pith_short_16","alias_value":"ORZSIP7WEVDBXHW6","created_at":"2026-07-05T09:25:29Z"},{"alias_kind":"pith_short_8","alias_value":"ORZSIP7W","created_at":"2026-07-05T09:25:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ORZSIP7WEVDBXHW6V5I5NCO7JA","target":"record","payload":{"canonical_record":{"source":{"id":"2305.06131","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-10T13:26:08Z","cross_cats_sorted":[],"title_canon_sha256":"fa9fd80ce211929de6f5b38fc6e990079e53a3df49fbc2ecf25649da0c9c460a","abstract_canon_sha256":"a104811b1f9be5d9338b82b546a07b6b18300c56b077b3a8de74a48cf3d9e85e"},"schema_version":"1.0"},"canonical_sha256":"7473243ff625461b9edeaf51d689df4820f9ebcf80fff8a5d030d6d88fd711ff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:25:29.677746Z","signature_b64":"KZcMzZQpMGCdLAwFi+hpTDlxxz5fXanGxPYji+NWQxMRfzdXTbnmNcvaqspJTa4pgHRO4sewMVn+eIfqGktDCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7473243ff625461b9edeaf51d689df4820f9ebcf80fff8a5d030d6d88fd711ff","last_reissued_at":"2026-07-05T09:25:29.677330Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:25:29.677330Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.06131","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:25:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7ZqoaGqJr8plyvOudhMYPibvON1Tgns/HvK9S5wTm3ZUh0kr8yxzj08tYePwQWtH9QlWVXhkxP7YyTr80N2pDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:51:50.968590Z"},"content_sha256":"02a9d090aa4ad68cea949a83943cca327f812cbc207e6f160928c824879c9b06","schema_version":"1.0","event_id":"sha256:02a9d090aa4ad68cea949a83943cca327f812cbc207e6f160928c824879c9b06"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ORZSIP7WEVDBXHW6V5I5NCO7JA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Atish Waghwase, Chaoning Zhang, Chenghao Li, Choong Seon Hong, Francois Rameau, Joseph Cho, Lik-Hang Lee, Sung-Ho Bae, Yang Yang","submitted_at":"2023-05-10T13:26:08Z","abstract_excerpt":"Generative AI has made significant progress in recent years, with text-guided content generation being the most practical as it facilitates interaction between human instructions and AI-generated content (AIGC). Thanks to advancements in text-to-image and 3D modeling technologies, like neural radiance field (NeRF), text-to-3D has emerged as a nascent yet highly active research field. Our work conducts a comprehensive survey on this topic and follows up on subsequent research progress in the overall field, aiming to help readers interested in this direction quickly catch up with its rapid devel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.06131","kind":"arxiv","version":4},"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/2305.06131/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":"2026-07-05T09:25:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AfG5OhruNt6szCSxG+WZ7GcbcUuB8pQzlH1UxmD26HtIbu+Tv9shTChJKxVlDI1jYqXpfSDr2nDf0rDMXBdiAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:51:50.969137Z"},"content_sha256":"3fbe1a7615e306b6516968aac95cb357fa70aba0709e25a701040f925aa73124","schema_version":"1.0","event_id":"sha256:3fbe1a7615e306b6516968aac95cb357fa70aba0709e25a701040f925aa73124"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ORZSIP7WEVDBXHW6V5I5NCO7JA/bundle.json","state_url":"https://pith.science/pith/ORZSIP7WEVDBXHW6V5I5NCO7JA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ORZSIP7WEVDBXHW6V5I5NCO7JA/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":"2026-08-09T19:51:50Z","links":{"resolver":"https://pith.science/pith/ORZSIP7WEVDBXHW6V5I5NCO7JA","bundle":"https://pith.science/pith/ORZSIP7WEVDBXHW6V5I5NCO7JA/bundle.json","state":"https://pith.science/pith/ORZSIP7WEVDBXHW6V5I5NCO7JA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ORZSIP7WEVDBXHW6V5I5NCO7JA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ORZSIP7WEVDBXHW6V5I5NCO7JA","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":"a104811b1f9be5d9338b82b546a07b6b18300c56b077b3a8de74a48cf3d9e85e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-10T13:26:08Z","title_canon_sha256":"fa9fd80ce211929de6f5b38fc6e990079e53a3df49fbc2ecf25649da0c9c460a"},"schema_version":"1.0","source":{"id":"2305.06131","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.06131","created_at":"2026-07-05T09:25:29Z"},{"alias_kind":"arxiv_version","alias_value":"2305.06131v4","created_at":"2026-07-05T09:25:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.06131","created_at":"2026-07-05T09:25:29Z"},{"alias_kind":"pith_short_12","alias_value":"ORZSIP7WEVDB","created_at":"2026-07-05T09:25:29Z"},{"alias_kind":"pith_short_16","alias_value":"ORZSIP7WEVDBXHW6","created_at":"2026-07-05T09:25:29Z"},{"alias_kind":"pith_short_8","alias_value":"ORZSIP7W","created_at":"2026-07-05T09:25:29Z"}],"graph_snapshots":[{"event_id":"sha256:3fbe1a7615e306b6516968aac95cb357fa70aba0709e25a701040f925aa73124","target":"graph","created_at":"2026-07-05T09:25:29Z","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/2305.06131/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative AI has made significant progress in recent years, with text-guided content generation being the most practical as it facilitates interaction between human instructions and AI-generated content (AIGC). Thanks to advancements in text-to-image and 3D modeling technologies, like neural radiance field (NeRF), text-to-3D has emerged as a nascent yet highly active research field. Our work conducts a comprehensive survey on this topic and follows up on subsequent research progress in the overall field, aiming to help readers interested in this direction quickly catch up with its rapid devel","authors_text":"Atish Waghwase, Chaoning Zhang, Chenghao Li, Choong Seon Hong, Francois Rameau, Joseph Cho, Lik-Hang Lee, Sung-Ho Bae, Yang Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-10T13:26:08Z","title":"Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.06131","kind":"arxiv","version":4},"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":"sha256:02a9d090aa4ad68cea949a83943cca327f812cbc207e6f160928c824879c9b06","target":"record","created_at":"2026-07-05T09:25:29Z","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":"a104811b1f9be5d9338b82b546a07b6b18300c56b077b3a8de74a48cf3d9e85e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-10T13:26:08Z","title_canon_sha256":"fa9fd80ce211929de6f5b38fc6e990079e53a3df49fbc2ecf25649da0c9c460a"},"schema_version":"1.0","source":{"id":"2305.06131","kind":"arxiv","version":4}},"canonical_sha256":"7473243ff625461b9edeaf51d689df4820f9ebcf80fff8a5d030d6d88fd711ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7473243ff625461b9edeaf51d689df4820f9ebcf80fff8a5d030d6d88fd711ff","first_computed_at":"2026-07-05T09:25:29.677330Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:25:29.677330Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KZcMzZQpMGCdLAwFi+hpTDlxxz5fXanGxPYji+NWQxMRfzdXTbnmNcvaqspJTa4pgHRO4sewMVn+eIfqGktDCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:25:29.677746Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.06131","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02a9d090aa4ad68cea949a83943cca327f812cbc207e6f160928c824879c9b06","sha256:3fbe1a7615e306b6516968aac95cb357fa70aba0709e25a701040f925aa73124"],"state_sha256":"14e580cd225216a3ff00b0821e63d1a25c5a575cba21e1cccccfdac56832d396"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yt4QcTBJdC7LDUkUqAIdDZyUI+HiiKdueIPXuzav75/pKqX5F8n+jju2+ej2L/TyTEjPTsfaBfs6Gr7dp9kEAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T19:51:50.977798Z","bundle_sha256":"6fe7549cb0e281132a6fb690c9a47c12fcee536bdfba427336f7c3a545ffe823"}}