{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:4D7NMQASJYY4EU3E3THF6QH5ZA","short_pith_number":"pith:4D7NMQAS","canonical_record":{"source":{"id":"2308.00773","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-01T18:26:55Z","cross_cats_sorted":[],"title_canon_sha256":"ec78af8433a60a62fdbf70e5766f2af1f191fe394d27b3f01fa46de9794ae621","abstract_canon_sha256":"e8a826a5b4a6064500339ee4b26c02cea40c6432fbcb76babe96223cbaa881e3"},"schema_version":"1.0"},"canonical_sha256":"e0fed640124e31c25364dcce5f40fdc83ce182be6a4115cc800b38cd1a2e838b","source":{"kind":"arxiv","id":"2308.00773","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.00773","created_at":"2026-07-05T06:50:02Z"},{"alias_kind":"arxiv_version","alias_value":"2308.00773v3","created_at":"2026-07-05T06:50:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.00773","created_at":"2026-07-05T06:50:02Z"},{"alias_kind":"pith_short_12","alias_value":"4D7NMQASJYY4","created_at":"2026-07-05T06:50:02Z"},{"alias_kind":"pith_short_16","alias_value":"4D7NMQASJYY4EU3E","created_at":"2026-07-05T06:50:02Z"},{"alias_kind":"pith_short_8","alias_value":"4D7NMQAS","created_at":"2026-07-05T06:50:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:4D7NMQASJYY4EU3E3THF6QH5ZA","target":"record","payload":{"canonical_record":{"source":{"id":"2308.00773","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-01T18:26:55Z","cross_cats_sorted":[],"title_canon_sha256":"ec78af8433a60a62fdbf70e5766f2af1f191fe394d27b3f01fa46de9794ae621","abstract_canon_sha256":"e8a826a5b4a6064500339ee4b26c02cea40c6432fbcb76babe96223cbaa881e3"},"schema_version":"1.0"},"canonical_sha256":"e0fed640124e31c25364dcce5f40fdc83ce182be6a4115cc800b38cd1a2e838b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:50:02.244723Z","signature_b64":"Lj8UQoMNcGrU+ZQJlQm2Ohv0LCpY3fxv1e6qeejkdoaKVpUfXREMTLkW+ovD3GalZ816dJwQYau4SLdJqGKgAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0fed640124e31c25364dcce5f40fdc83ce182be6a4115cc800b38cd1a2e838b","last_reissued_at":"2026-07-05T06:50:02.244261Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:50:02.244261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.00773","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":"2026-07-05T06:50:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vy6PWNK4WpbZzsra9gMipjP96K0UEOedrW6w4DVtxC6twEPVj4pWtEVNa3sQJ5yWf47ad2xI+etmk2axKXQdAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:57:40.770606Z"},"content_sha256":"a82ec0d8f13bf0c9f80f46c6700bf642c0515b6ba7cc440c2dac6e8f8e6cdc26","schema_version":"1.0","event_id":"sha256:a82ec0d8f13bf0c9f80f46c6700bf642c0515b6ba7cc440c2dac6e8f8e6cdc26"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:4D7NMQASJYY4EU3E3THF6QH5ZA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"High-Fidelity Eye Animatable Neural Radiance Fields for Human Face","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hengfei Wang, Hyung Jin Chang, Yihua Cheng, Zhongqun Zhang","submitted_at":"2023-08-01T18:26:55Z","abstract_excerpt":"Face rendering using neural radiance fields (NeRF) is a rapidly developing research area in computer vision. While recent methods primarily focus on controlling facial attributes such as identity and expression, they often overlook the crucial aspect of modeling eyeball rotation, which holds importance for various downstream tasks. In this paper, we aim to learn a face NeRF model that is sensitive to eye movements from multi-view images. We address two key challenges in eye-aware face NeRF learning: how to effectively capture eyeball rotation for training and how to construct a manifold for re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.00773","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/2308.00773/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":"2026-07-05T06:50:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p2OwsW4xxoU+o0IPygifMYLSTIIeJ3Ory7kKqrfU5cp+g/1AWsWLgNnUdIy6dp0y7GAg1XXtFQNm6V9P140sBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:57:40.771606Z"},"content_sha256":"00873e097704c7fc38cd4139f147dd74ca5862e523220f87cfd76c79548e1b9e","schema_version":"1.0","event_id":"sha256:00873e097704c7fc38cd4139f147dd74ca5862e523220f87cfd76c79548e1b9e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4D7NMQASJYY4EU3E3THF6QH5ZA/bundle.json","state_url":"https://pith.science/pith/4D7NMQASJYY4EU3E3THF6QH5ZA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4D7NMQASJYY4EU3E3THF6QH5ZA/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":"2026-08-12T13:57:40Z","links":{"resolver":"https://pith.science/pith/4D7NMQASJYY4EU3E3THF6QH5ZA","bundle":"https://pith.science/pith/4D7NMQASJYY4EU3E3THF6QH5ZA/bundle.json","state":"https://pith.science/pith/4D7NMQASJYY4EU3E3THF6QH5ZA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4D7NMQASJYY4EU3E3THF6QH5ZA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4D7NMQASJYY4EU3E3THF6QH5ZA","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":"e8a826a5b4a6064500339ee4b26c02cea40c6432fbcb76babe96223cbaa881e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-01T18:26:55Z","title_canon_sha256":"ec78af8433a60a62fdbf70e5766f2af1f191fe394d27b3f01fa46de9794ae621"},"schema_version":"1.0","source":{"id":"2308.00773","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.00773","created_at":"2026-07-05T06:50:02Z"},{"alias_kind":"arxiv_version","alias_value":"2308.00773v3","created_at":"2026-07-05T06:50:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.00773","created_at":"2026-07-05T06:50:02Z"},{"alias_kind":"pith_short_12","alias_value":"4D7NMQASJYY4","created_at":"2026-07-05T06:50:02Z"},{"alias_kind":"pith_short_16","alias_value":"4D7NMQASJYY4EU3E","created_at":"2026-07-05T06:50:02Z"},{"alias_kind":"pith_short_8","alias_value":"4D7NMQAS","created_at":"2026-07-05T06:50:02Z"}],"graph_snapshots":[{"event_id":"sha256:00873e097704c7fc38cd4139f147dd74ca5862e523220f87cfd76c79548e1b9e","target":"graph","created_at":"2026-07-05T06:50:02Z","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/2308.00773/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Face rendering using neural radiance fields (NeRF) is a rapidly developing research area in computer vision. While recent methods primarily focus on controlling facial attributes such as identity and expression, they often overlook the crucial aspect of modeling eyeball rotation, which holds importance for various downstream tasks. In this paper, we aim to learn a face NeRF model that is sensitive to eye movements from multi-view images. We address two key challenges in eye-aware face NeRF learning: how to effectively capture eyeball rotation for training and how to construct a manifold for re","authors_text":"Hengfei Wang, Hyung Jin Chang, Yihua Cheng, Zhongqun Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-01T18:26:55Z","title":"High-Fidelity Eye Animatable Neural Radiance Fields for Human Face"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.00773","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:a82ec0d8f13bf0c9f80f46c6700bf642c0515b6ba7cc440c2dac6e8f8e6cdc26","target":"record","created_at":"2026-07-05T06:50:02Z","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":"e8a826a5b4a6064500339ee4b26c02cea40c6432fbcb76babe96223cbaa881e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-01T18:26:55Z","title_canon_sha256":"ec78af8433a60a62fdbf70e5766f2af1f191fe394d27b3f01fa46de9794ae621"},"schema_version":"1.0","source":{"id":"2308.00773","kind":"arxiv","version":3}},"canonical_sha256":"e0fed640124e31c25364dcce5f40fdc83ce182be6a4115cc800b38cd1a2e838b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0fed640124e31c25364dcce5f40fdc83ce182be6a4115cc800b38cd1a2e838b","first_computed_at":"2026-07-05T06:50:02.244261Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:50:02.244261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Lj8UQoMNcGrU+ZQJlQm2Ohv0LCpY3fxv1e6qeejkdoaKVpUfXREMTLkW+ovD3GalZ816dJwQYau4SLdJqGKgAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:50:02.244723Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.00773","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a82ec0d8f13bf0c9f80f46c6700bf642c0515b6ba7cc440c2dac6e8f8e6cdc26","sha256:00873e097704c7fc38cd4139f147dd74ca5862e523220f87cfd76c79548e1b9e"],"state_sha256":"2bed5a8531b52b6561bc9b317b0984e42488a8bb015742ac7786b93b8df6d62f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HSJRa2oSFBq/qijYsVI0iJb8+86uaP+D5OPEIAf+f9dMyJrCCw2AFNO0+1J7E+JFyVQFgHeaw9W6757v2ax4AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T13:57:40.865428Z","bundle_sha256":"9b3b1362ff3e46dc6e056d3e92da13dda294ae9a9d489fceb5ef6eebdf541968"}}