{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:MQICKNRK3EODROCVZB5ZVONATG","short_pith_number":"pith:MQICKNRK","canonical_record":{"source":{"id":"2312.05572","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-09T13:21:01Z","cross_cats_sorted":[],"title_canon_sha256":"ec08a7c5a38e20ddb20197b8ee06c1d1779369f1b5a2dec2cbd3807035b2930b","abstract_canon_sha256":"a2c7ed83c3fd7d9caa0f90bdb88f886837f93919ff8bd5e4fd98bf3e5445f5cc"},"schema_version":"1.0"},"canonical_sha256":"641025362ad91c38b855c87b9ab9a099acfc8bf88bb52d04a6a9a75bbcbb5fc4","source":{"kind":"arxiv","id":"2312.05572","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05572","created_at":"2026-07-05T07:22:29Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05572v1","created_at":"2026-07-05T07:22:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05572","created_at":"2026-07-05T07:22:29Z"},{"alias_kind":"pith_short_12","alias_value":"MQICKNRK3EOD","created_at":"2026-07-05T07:22:29Z"},{"alias_kind":"pith_short_16","alias_value":"MQICKNRK3EODROCV","created_at":"2026-07-05T07:22:29Z"},{"alias_kind":"pith_short_8","alias_value":"MQICKNRK","created_at":"2026-07-05T07:22:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:MQICKNRK3EODROCVZB5ZVONATG","target":"record","payload":{"canonical_record":{"source":{"id":"2312.05572","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-09T13:21:01Z","cross_cats_sorted":[],"title_canon_sha256":"ec08a7c5a38e20ddb20197b8ee06c1d1779369f1b5a2dec2cbd3807035b2930b","abstract_canon_sha256":"a2c7ed83c3fd7d9caa0f90bdb88f886837f93919ff8bd5e4fd98bf3e5445f5cc"},"schema_version":"1.0"},"canonical_sha256":"641025362ad91c38b855c87b9ab9a099acfc8bf88bb52d04a6a9a75bbcbb5fc4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:22:29.240019Z","signature_b64":"o0C2pnHJlS/FAEPuWiOHD65advx5dzV+KqiN3vLVZ0QjG3Nf4B0qf6Mcu8vfaM+hd5sgwUlm1H1obI80V0AbCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"641025362ad91c38b855c87b9ab9a099acfc8bf88bb52d04a6a9a75bbcbb5fc4","last_reissued_at":"2026-07-05T07:22:29.239670Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:22:29.239670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.05572","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":"2026-07-05T07:22:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xS3JNxh4HSBI5N6ZkM1M6oBdu62CDjnkAXgfITlSH97JEIU2PJkwgVNFux8gHGurVGb9YVrajriPewqnMiW/BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T04:45:00.062019Z"},"content_sha256":"328a7bccceec54185d0ec033365acb0517ac74aa1773fbd81350ba710d5103a6","schema_version":"1.0","event_id":"sha256:328a7bccceec54185d0ec033365acb0517ac74aa1773fbd81350ba710d5103a6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:MQICKNRK3EODROCVZB5ZVONATG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dingheng Zeng, LiangGuo Zhang, Ning Jiang, Quan Lu, Zhiling Ye","submitted_at":"2023-12-09T13:21:01Z","abstract_excerpt":"Dynamic NeRFs have recently garnered growing attention for 3D talking portrait synthesis. Despite advances in rendering speed and visual quality, challenges persist in enhancing efficiency and effectiveness. We present R2-Talker, an efficient and effective framework enabling realistic real-time talking head synthesis. Specifically, using multi-resolution hash grids, we introduce a novel approach for encoding facial landmarks as conditional features. This approach losslessly encodes landmark structures as conditional features, decoupling input diversity, and conditional spaces by mapping arbitr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05572","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/2312.05572/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":"2026-07-05T07:22:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3+la5Aq1zQNyNf9anGy8d9mUiGeMxuftxrP29ygCAClSGkbUDee4JLu3o5SSu8z0W0oc3ukfNLyGBtbcZ5Z6DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T04:45:00.062853Z"},"content_sha256":"ef00796a6ae45fc4408e7d714d16922c082731ba8cd8d6dafef2321c98cf15f6","schema_version":"1.0","event_id":"sha256:ef00796a6ae45fc4408e7d714d16922c082731ba8cd8d6dafef2321c98cf15f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MQICKNRK3EODROCVZB5ZVONATG/bundle.json","state_url":"https://pith.science/pith/MQICKNRK3EODROCVZB5ZVONATG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MQICKNRK3EODROCVZB5ZVONATG/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":"2026-08-13T04:45:00Z","links":{"resolver":"https://pith.science/pith/MQICKNRK3EODROCVZB5ZVONATG","bundle":"https://pith.science/pith/MQICKNRK3EODROCVZB5ZVONATG/bundle.json","state":"https://pith.science/pith/MQICKNRK3EODROCVZB5ZVONATG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MQICKNRK3EODROCVZB5ZVONATG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MQICKNRK3EODROCVZB5ZVONATG","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":"a2c7ed83c3fd7d9caa0f90bdb88f886837f93919ff8bd5e4fd98bf3e5445f5cc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-09T13:21:01Z","title_canon_sha256":"ec08a7c5a38e20ddb20197b8ee06c1d1779369f1b5a2dec2cbd3807035b2930b"},"schema_version":"1.0","source":{"id":"2312.05572","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.05572","created_at":"2026-07-05T07:22:29Z"},{"alias_kind":"arxiv_version","alias_value":"2312.05572v1","created_at":"2026-07-05T07:22:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.05572","created_at":"2026-07-05T07:22:29Z"},{"alias_kind":"pith_short_12","alias_value":"MQICKNRK3EOD","created_at":"2026-07-05T07:22:29Z"},{"alias_kind":"pith_short_16","alias_value":"MQICKNRK3EODROCV","created_at":"2026-07-05T07:22:29Z"},{"alias_kind":"pith_short_8","alias_value":"MQICKNRK","created_at":"2026-07-05T07:22:29Z"}],"graph_snapshots":[{"event_id":"sha256:ef00796a6ae45fc4408e7d714d16922c082731ba8cd8d6dafef2321c98cf15f6","target":"graph","created_at":"2026-07-05T07:22:29Z","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/2312.05572/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dynamic NeRFs have recently garnered growing attention for 3D talking portrait synthesis. Despite advances in rendering speed and visual quality, challenges persist in enhancing efficiency and effectiveness. We present R2-Talker, an efficient and effective framework enabling realistic real-time talking head synthesis. Specifically, using multi-resolution hash grids, we introduce a novel approach for encoding facial landmarks as conditional features. This approach losslessly encodes landmark structures as conditional features, decoupling input diversity, and conditional spaces by mapping arbitr","authors_text":"Dingheng Zeng, LiangGuo Zhang, Ning Jiang, Quan Lu, Zhiling Ye","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-09T13:21:01Z","title":"R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.05572","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":"sha256:328a7bccceec54185d0ec033365acb0517ac74aa1773fbd81350ba710d5103a6","target":"record","created_at":"2026-07-05T07:22:29Z","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":"a2c7ed83c3fd7d9caa0f90bdb88f886837f93919ff8bd5e4fd98bf3e5445f5cc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-09T13:21:01Z","title_canon_sha256":"ec08a7c5a38e20ddb20197b8ee06c1d1779369f1b5a2dec2cbd3807035b2930b"},"schema_version":"1.0","source":{"id":"2312.05572","kind":"arxiv","version":1}},"canonical_sha256":"641025362ad91c38b855c87b9ab9a099acfc8bf88bb52d04a6a9a75bbcbb5fc4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"641025362ad91c38b855c87b9ab9a099acfc8bf88bb52d04a6a9a75bbcbb5fc4","first_computed_at":"2026-07-05T07:22:29.239670Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:22:29.239670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o0C2pnHJlS/FAEPuWiOHD65advx5dzV+KqiN3vLVZ0QjG3Nf4B0qf6Mcu8vfaM+hd5sgwUlm1H1obI80V0AbCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:22:29.240019Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.05572","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:328a7bccceec54185d0ec033365acb0517ac74aa1773fbd81350ba710d5103a6","sha256:ef00796a6ae45fc4408e7d714d16922c082731ba8cd8d6dafef2321c98cf15f6"],"state_sha256":"9a8c681306cb88fdc38d06c1fa48c55062d08b121ac162ac907b1c9efffb5cc4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mfUY8IUEOha0RFXpMWW20bljdBmG6iTJnMB85pWSdlJ+Q2lCx85Y7GMPpPy3nJ0qyFlBskFsaR8qs90dLk0NDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T04:45:00.071070Z","bundle_sha256":"ed55de2a6dca28463c088a00f0ece8b4c11b0f7e1abe9cc566555865aeb2f3be"}}