{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:CP4Y643R5ZR6NJJXXTHEFCINVY","short_pith_number":"pith:CP4Y643R","canonical_record":{"source":{"id":"2211.16374","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-29T16:54:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f95d97998dce2c6bddfba90decec5bdb01c1bf6ecae16b1c491feab339ce231a","abstract_canon_sha256":"b7270cd25c817ad3b993b049068c63b38ca6e56efc244072b8673453c6334eaa"},"schema_version":"1.0"},"canonical_sha256":"13f98f7371ee63e6a537bcce42890dae146e3b0049438f91b5b7b3cf561c3435","source":{"kind":"arxiv","id":"2211.16374","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.16374","created_at":"2026-07-05T05:56:40Z"},{"alias_kind":"arxiv_version","alias_value":"2211.16374v2","created_at":"2026-07-05T05:56:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.16374","created_at":"2026-07-05T05:56:40Z"},{"alias_kind":"pith_short_12","alias_value":"CP4Y643R5ZR6","created_at":"2026-07-05T05:56:40Z"},{"alias_kind":"pith_short_16","alias_value":"CP4Y643R5ZR6NJJX","created_at":"2026-07-05T05:56:40Z"},{"alias_kind":"pith_short_8","alias_value":"CP4Y643R","created_at":"2026-07-05T05:56:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:CP4Y643R5ZR6NJJXXTHEFCINVY","target":"record","payload":{"canonical_record":{"source":{"id":"2211.16374","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-29T16:54:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f95d97998dce2c6bddfba90decec5bdb01c1bf6ecae16b1c491feab339ce231a","abstract_canon_sha256":"b7270cd25c817ad3b993b049068c63b38ca6e56efc244072b8673453c6334eaa"},"schema_version":"1.0"},"canonical_sha256":"13f98f7371ee63e6a537bcce42890dae146e3b0049438f91b5b7b3cf561c3435","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:56:40.705862Z","signature_b64":"xcuy/XaR0JFf9IA5QkGa0pGGj6fK9KxeLOKN9BpC6LOltetm0XpN/9eFn8HloBInwfxUqOZIVjjnVWD6uksHCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"13f98f7371ee63e6a537bcce42890dae146e3b0049438f91b5b7b3cf561c3435","last_reissued_at":"2026-07-05T05:56:40.705364Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:56:40.705364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.16374","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":"2026-07-05T05:56:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CHLGYSfO38LgPfF2Qx9igYapfWw/biwFG+2VW6/b4KgOYDgSTxVe2dE/bfuOAoqHRvUiXZzX2YaAhJ43PdcDBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T18:37:58.604567Z"},"content_sha256":"14d3b2a6d11ae791404e54ac4d074a120de40a512680839e15c178a2b54b998f","schema_version":"1.0","event_id":"sha256:14d3b2a6d11ae791404e54ac4d074a120de40a512680839e15c178a2b54b998f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:CP4Y643R5ZR6NJJXXTHEFCINVY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Gwanghyun Kim, Se Young Chun","submitted_at":"2022-11-29T16:54:34Z","abstract_excerpt":"Recent 3D generative models have achieved remarkable performance in synthesizing high resolution photorealistic images with view consistency and detailed 3D shapes, but training them for diverse domains is challenging since it requires massive training images and their camera distribution information. Text-guided domain adaptation methods have shown impressive performance on converting the 2D generative model on one domain into the models on other domains with different styles by leveraging the CLIP (Contrastive Language-Image Pre-training), rather than collecting massive datasets for those do"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.16374","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/2211.16374/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":"2026-07-05T05:56:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/6W5I+YWJ6k+a6Ph0yhID/0ql0KWk/agAvLWx+ozW+pKb3XLBgqzqmzRLMoYPEps/zTzt85yfpUoxaJbKCgiBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T18:37:58.605110Z"},"content_sha256":"626274f4921a4647acbd225bab8272643c1b90e684d6a0d37b4ec8805f6951a2","schema_version":"1.0","event_id":"sha256:626274f4921a4647acbd225bab8272643c1b90e684d6a0d37b4ec8805f6951a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CP4Y643R5ZR6NJJXXTHEFCINVY/bundle.json","state_url":"https://pith.science/pith/CP4Y643R5ZR6NJJXXTHEFCINVY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CP4Y643R5ZR6NJJXXTHEFCINVY/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":"2026-08-15T18:37:58Z","links":{"resolver":"https://pith.science/pith/CP4Y643R5ZR6NJJXXTHEFCINVY","bundle":"https://pith.science/pith/CP4Y643R5ZR6NJJXXTHEFCINVY/bundle.json","state":"https://pith.science/pith/CP4Y643R5ZR6NJJXXTHEFCINVY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CP4Y643R5ZR6NJJXXTHEFCINVY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CP4Y643R5ZR6NJJXXTHEFCINVY","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":"b7270cd25c817ad3b993b049068c63b38ca6e56efc244072b8673453c6334eaa","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-29T16:54:34Z","title_canon_sha256":"f95d97998dce2c6bddfba90decec5bdb01c1bf6ecae16b1c491feab339ce231a"},"schema_version":"1.0","source":{"id":"2211.16374","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.16374","created_at":"2026-07-05T05:56:40Z"},{"alias_kind":"arxiv_version","alias_value":"2211.16374v2","created_at":"2026-07-05T05:56:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.16374","created_at":"2026-07-05T05:56:40Z"},{"alias_kind":"pith_short_12","alias_value":"CP4Y643R5ZR6","created_at":"2026-07-05T05:56:40Z"},{"alias_kind":"pith_short_16","alias_value":"CP4Y643R5ZR6NJJX","created_at":"2026-07-05T05:56:40Z"},{"alias_kind":"pith_short_8","alias_value":"CP4Y643R","created_at":"2026-07-05T05:56:40Z"}],"graph_snapshots":[{"event_id":"sha256:626274f4921a4647acbd225bab8272643c1b90e684d6a0d37b4ec8805f6951a2","target":"graph","created_at":"2026-07-05T05:56:40Z","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/2211.16374/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent 3D generative models have achieved remarkable performance in synthesizing high resolution photorealistic images with view consistency and detailed 3D shapes, but training them for diverse domains is challenging since it requires massive training images and their camera distribution information. Text-guided domain adaptation methods have shown impressive performance on converting the 2D generative model on one domain into the models on other domains with different styles by leveraging the CLIP (Contrastive Language-Image Pre-training), rather than collecting massive datasets for those do","authors_text":"Gwanghyun Kim, Se Young Chun","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-29T16:54:34Z","title":"DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.16374","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":"sha256:14d3b2a6d11ae791404e54ac4d074a120de40a512680839e15c178a2b54b998f","target":"record","created_at":"2026-07-05T05:56:40Z","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":"b7270cd25c817ad3b993b049068c63b38ca6e56efc244072b8673453c6334eaa","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-11-29T16:54:34Z","title_canon_sha256":"f95d97998dce2c6bddfba90decec5bdb01c1bf6ecae16b1c491feab339ce231a"},"schema_version":"1.0","source":{"id":"2211.16374","kind":"arxiv","version":2}},"canonical_sha256":"13f98f7371ee63e6a537bcce42890dae146e3b0049438f91b5b7b3cf561c3435","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"13f98f7371ee63e6a537bcce42890dae146e3b0049438f91b5b7b3cf561c3435","first_computed_at":"2026-07-05T05:56:40.705364Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:56:40.705364Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xcuy/XaR0JFf9IA5QkGa0pGGj6fK9KxeLOKN9BpC6LOltetm0XpN/9eFn8HloBInwfxUqOZIVjjnVWD6uksHCA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:56:40.705862Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.16374","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14d3b2a6d11ae791404e54ac4d074a120de40a512680839e15c178a2b54b998f","sha256:626274f4921a4647acbd225bab8272643c1b90e684d6a0d37b4ec8805f6951a2"],"state_sha256":"9a8e4e725c02cc156529fc4caea2453b1b2b967d3f460b6196454386b3b6fa94"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Oj+UWrUuJANRV6tPEQWkURaVCmnFPCrLQIe+HPRQnUtmSarYqo5JGLEAna15YiPZWhdaKMs5yFv/0t6tviJyDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T18:37:58.608567Z","bundle_sha256":"6b63c2255aa3796cd4ac2c2c9e8af1a46b91f8e52a9875369439a13134aa3356"}}