{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:UOL5SVVZRDAIP5NTH2BM2KKOWD","short_pith_number":"pith:UOL5SVVZ","canonical_record":{"source":{"id":"2003.06841","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-15T14:42:15Z","cross_cats_sorted":[],"title_canon_sha256":"afa5280a988fecbc02d09dddf9e62b02faaeb23e72b7bbac5e62bf3c01da8633","abstract_canon_sha256":"d6f1f304cd56155e16019ce590ac2cf795846d8161d42fc8a1379ba90f94bef8"},"schema_version":"1.0"},"canonical_sha256":"a397d956b988c087f5b33e82cd294eb0f6079235ab7c22c2e68722d5b41b9487","source":{"kind":"arxiv","id":"2003.06841","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.06841","created_at":"2026-07-05T03:31:21Z"},{"alias_kind":"arxiv_version","alias_value":"2003.06841v2","created_at":"2026-07-05T03:31:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.06841","created_at":"2026-07-05T03:31:21Z"},{"alias_kind":"pith_short_12","alias_value":"UOL5SVVZRDAI","created_at":"2026-07-05T03:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"UOL5SVVZRDAIP5NT","created_at":"2026-07-05T03:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"UOL5SVVZ","created_at":"2026-07-05T03:31:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:UOL5SVVZRDAIP5NTH2BM2KKOWD","target":"record","payload":{"canonical_record":{"source":{"id":"2003.06841","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-15T14:42:15Z","cross_cats_sorted":[],"title_canon_sha256":"afa5280a988fecbc02d09dddf9e62b02faaeb23e72b7bbac5e62bf3c01da8633","abstract_canon_sha256":"d6f1f304cd56155e16019ce590ac2cf795846d8161d42fc8a1379ba90f94bef8"},"schema_version":"1.0"},"canonical_sha256":"a397d956b988c087f5b33e82cd294eb0f6079235ab7c22c2e68722d5b41b9487","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:31:21.360836Z","signature_b64":"vTk7/BlpB7E5h06XYb3qcKb96eaUvO+3e90stfyKwCu7sc3/LgjzmnNY8B9rN0wyS53O6RBKB7R4F9ahgDtHCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a397d956b988c087f5b33e82cd294eb0f6079235ab7c22c2e68722d5b41b9487","last_reissued_at":"2026-07-05T03:31:21.360423Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:31:21.360423Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.06841","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":"2026-07-05T03:31:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p1EqbOL5sDO4sUzX+XFLwlrS7rblhXQ4nnW+aFsksVd0O3VU/+i9qD/QgUUQYv+Fez7qwXZIvfCHJDifrO1EDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T23:06:30.704480Z"},"content_sha256":"ff0acd843e023e398fd01827a333dfc2fdfbe6d1df36674557a02d5cabfdfb49","schema_version":"1.0","event_id":"sha256:ff0acd843e023e398fd01827a333dfc2fdfbe6d1df36674557a02d5cabfdfb49"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:UOL5SVVZRDAIP5NTH2BM2KKOWD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Juyong Zhang, Mengfei Xia, Minjing Yu, Ran Yi, Yanan Sun, Yong-jin Liu, Yu-Kun Lai, Zipeng Ye","submitted_at":"2020-03-15T14:42:15Z","abstract_excerpt":"Caricature is a type of artistic style of human faces that attracts considerable attention in the entertainment industry. So far a few 3D caricature generation methods exist and all of them require some caricature information (e.g., a caricature sketch or 2D caricature) as input. This kind of input, however, is difficult to provide by non-professional users. In this paper, we propose an end-to-end deep neural network model that generates high-quality 3D caricatures directly from a normal 2D face photo. The most challenging issue for our system is that the source domain of face photos (characte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.06841","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/2003.06841/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":"2026-07-05T03:31:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DZVHp9IujfM6YTB4XKZgHNBFrXOSKOJNFjCYjT0UsNf8DUBVDAkkKGKy7ChREJXZs6agrhl9UFJURAA4pGRbDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T23:06:30.705372Z"},"content_sha256":"3f891bf78bee0a557d3efabd865956aedc0707b1aae403a8fc522dff3ce4f461","schema_version":"1.0","event_id":"sha256:3f891bf78bee0a557d3efabd865956aedc0707b1aae403a8fc522dff3ce4f461"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UOL5SVVZRDAIP5NTH2BM2KKOWD/bundle.json","state_url":"https://pith.science/pith/UOL5SVVZRDAIP5NTH2BM2KKOWD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UOL5SVVZRDAIP5NTH2BM2KKOWD/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":"2026-08-10T23:06:30Z","links":{"resolver":"https://pith.science/pith/UOL5SVVZRDAIP5NTH2BM2KKOWD","bundle":"https://pith.science/pith/UOL5SVVZRDAIP5NTH2BM2KKOWD/bundle.json","state":"https://pith.science/pith/UOL5SVVZRDAIP5NTH2BM2KKOWD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UOL5SVVZRDAIP5NTH2BM2KKOWD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:UOL5SVVZRDAIP5NTH2BM2KKOWD","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":"d6f1f304cd56155e16019ce590ac2cf795846d8161d42fc8a1379ba90f94bef8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-15T14:42:15Z","title_canon_sha256":"afa5280a988fecbc02d09dddf9e62b02faaeb23e72b7bbac5e62bf3c01da8633"},"schema_version":"1.0","source":{"id":"2003.06841","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.06841","created_at":"2026-07-05T03:31:21Z"},{"alias_kind":"arxiv_version","alias_value":"2003.06841v2","created_at":"2026-07-05T03:31:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.06841","created_at":"2026-07-05T03:31:21Z"},{"alias_kind":"pith_short_12","alias_value":"UOL5SVVZRDAI","created_at":"2026-07-05T03:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"UOL5SVVZRDAIP5NT","created_at":"2026-07-05T03:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"UOL5SVVZ","created_at":"2026-07-05T03:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:3f891bf78bee0a557d3efabd865956aedc0707b1aae403a8fc522dff3ce4f461","target":"graph","created_at":"2026-07-05T03:31:21Z","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/2003.06841/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Caricature is a type of artistic style of human faces that attracts considerable attention in the entertainment industry. So far a few 3D caricature generation methods exist and all of them require some caricature information (e.g., a caricature sketch or 2D caricature) as input. This kind of input, however, is difficult to provide by non-professional users. In this paper, we propose an end-to-end deep neural network model that generates high-quality 3D caricatures directly from a normal 2D face photo. The most challenging issue for our system is that the source domain of face photos (characte","authors_text":"Juyong Zhang, Mengfei Xia, Minjing Yu, Ran Yi, Yanan Sun, Yong-jin Liu, Yu-Kun Lai, Zipeng Ye","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-15T14:42:15Z","title":"3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.06841","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:ff0acd843e023e398fd01827a333dfc2fdfbe6d1df36674557a02d5cabfdfb49","target":"record","created_at":"2026-07-05T03:31:21Z","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":"d6f1f304cd56155e16019ce590ac2cf795846d8161d42fc8a1379ba90f94bef8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-15T14:42:15Z","title_canon_sha256":"afa5280a988fecbc02d09dddf9e62b02faaeb23e72b7bbac5e62bf3c01da8633"},"schema_version":"1.0","source":{"id":"2003.06841","kind":"arxiv","version":2}},"canonical_sha256":"a397d956b988c087f5b33e82cd294eb0f6079235ab7c22c2e68722d5b41b9487","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a397d956b988c087f5b33e82cd294eb0f6079235ab7c22c2e68722d5b41b9487","first_computed_at":"2026-07-05T03:31:21.360423Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:31:21.360423Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vTk7/BlpB7E5h06XYb3qcKb96eaUvO+3e90stfyKwCu7sc3/LgjzmnNY8B9rN0wyS53O6RBKB7R4F9ahgDtHCA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:31:21.360836Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.06841","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff0acd843e023e398fd01827a333dfc2fdfbe6d1df36674557a02d5cabfdfb49","sha256:3f891bf78bee0a557d3efabd865956aedc0707b1aae403a8fc522dff3ce4f461"],"state_sha256":"297650fa633dc8e2294c79cea3b3349d968cecdf4f5f736cb3e01980512d8ec9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YNy3wduuNCdEjr+ybT+zUWVOgzH+QxLAeEI6lqgqvrAnxXx3+V/Bhj6z4Yn5rZrWgLqso3pAD48j5IGPtxnOBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T23:06:30.721611Z","bundle_sha256":"467abe5530e05d36189919674beb491049521a8198ba1eccd6a0386f8a621058"}}