{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZCOCZITXSFZQ5SC2BXMNH6CP4F","short_pith_number":"pith:ZCOCZITX","canonical_record":{"source":{"id":"2402.00864","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-01T18:59:09Z","cross_cats_sorted":[],"title_canon_sha256":"d1f6dc14b9499042e105dcc2454da640f2896c400dc97e0640118c80d3b4ec84","abstract_canon_sha256":"321cc9ad55eecf5203abd0b26861ed1befc818dd70cbba504bc9b90ddb254713"},"schema_version":"1.0"},"canonical_sha256":"c89c2ca27791730ec85a0dd8d3f84fe15c7456de68f648812e822d682e7ac4e7","source":{"kind":"arxiv","id":"2402.00864","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.00864","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"arxiv_version","alias_value":"2402.00864v1","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.00864","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"pith_short_12","alias_value":"ZCOCZITXSFZQ","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"pith_short_16","alias_value":"ZCOCZITXSFZQ5SC2","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"pith_short_8","alias_value":"ZCOCZITX","created_at":"2026-07-05T07:40:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZCOCZITXSFZQ5SC2BXMNH6CP4F","target":"record","payload":{"canonical_record":{"source":{"id":"2402.00864","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-01T18:59:09Z","cross_cats_sorted":[],"title_canon_sha256":"d1f6dc14b9499042e105dcc2454da640f2896c400dc97e0640118c80d3b4ec84","abstract_canon_sha256":"321cc9ad55eecf5203abd0b26861ed1befc818dd70cbba504bc9b90ddb254713"},"schema_version":"1.0"},"canonical_sha256":"c89c2ca27791730ec85a0dd8d3f84fe15c7456de68f648812e822d682e7ac4e7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:40:18.444012Z","signature_b64":"F1kXcmTm42wvYgx0EIhULVTozYWYVyJBf8FlAZdalD25YyEY+00gOiNBG9inh6z0TLO0tQr6+goRaN5/oC1CAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c89c2ca27791730ec85a0dd8d3f84fe15c7456de68f648812e822d682e7ac4e7","last_reissued_at":"2026-07-05T07:40:18.443547Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:40:18.443547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.00864","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":"2026-07-05T07:40:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"58FuVidxvmwOak2mxbmFT/Ok0NxwSKIjxSLte7a800Gr4C+9GIFzHgcxZ8iwU/Szttk+1mrGdbjYfCz5pZrtDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T10:27:06.777444Z"},"content_sha256":"bb11d6e600aef2a6220bddfef974e8e65f613a7a2426c490b72b428c132a0416","schema_version":"1.0","event_id":"sha256:bb11d6e600aef2a6220bddfef974e8e65f613a7a2426c490b72b428c132a0416"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZCOCZITXSFZQ5SC2BXMNH6CP4F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiahua Dong, Yu-Xiong Wang","submitted_at":"2024-02-01T18:59:09Z","abstract_excerpt":"We introduce ViCA-NeRF, the first view-consistency-aware method for 3D editing with text instructions. In addition to the implicit neural radiance field (NeRF) modeling, our key insight is to exploit two sources of regularization that explicitly propagate the editing information across different views, thus ensuring multi-view consistency. For geometric regularization, we leverage the depth information derived from NeRF to establish image correspondences between different views. For learned regularization, we align the latent codes in the 2D diffusion model between edited and unedited images, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.00864","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/2402.00864/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":"2026-07-05T07:40:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q8sY1gTRfaAX8tqABENvNqxowgLBhr94gfBhLW4ERjB5fmgR2SoscNH+ZTL970W0UUE0U9H3z5jsykS5pBMuAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T10:27:06.777818Z"},"content_sha256":"376eea821d6fbaf5987504a82a58c39f57d3d89c4a496cf496add47dd7325f0f","schema_version":"1.0","event_id":"sha256:376eea821d6fbaf5987504a82a58c39f57d3d89c4a496cf496add47dd7325f0f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZCOCZITXSFZQ5SC2BXMNH6CP4F/bundle.json","state_url":"https://pith.science/pith/ZCOCZITXSFZQ5SC2BXMNH6CP4F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZCOCZITXSFZQ5SC2BXMNH6CP4F/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":"2026-07-06T10:27:06Z","links":{"resolver":"https://pith.science/pith/ZCOCZITXSFZQ5SC2BXMNH6CP4F","bundle":"https://pith.science/pith/ZCOCZITXSFZQ5SC2BXMNH6CP4F/bundle.json","state":"https://pith.science/pith/ZCOCZITXSFZQ5SC2BXMNH6CP4F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZCOCZITXSFZQ5SC2BXMNH6CP4F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZCOCZITXSFZQ5SC2BXMNH6CP4F","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":"321cc9ad55eecf5203abd0b26861ed1befc818dd70cbba504bc9b90ddb254713","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-01T18:59:09Z","title_canon_sha256":"d1f6dc14b9499042e105dcc2454da640f2896c400dc97e0640118c80d3b4ec84"},"schema_version":"1.0","source":{"id":"2402.00864","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.00864","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"arxiv_version","alias_value":"2402.00864v1","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.00864","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"pith_short_12","alias_value":"ZCOCZITXSFZQ","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"pith_short_16","alias_value":"ZCOCZITXSFZQ5SC2","created_at":"2026-07-05T07:40:18Z"},{"alias_kind":"pith_short_8","alias_value":"ZCOCZITX","created_at":"2026-07-05T07:40:18Z"}],"graph_snapshots":[{"event_id":"sha256:376eea821d6fbaf5987504a82a58c39f57d3d89c4a496cf496add47dd7325f0f","target":"graph","created_at":"2026-07-05T07:40:18Z","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/2402.00864/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce ViCA-NeRF, the first view-consistency-aware method for 3D editing with text instructions. In addition to the implicit neural radiance field (NeRF) modeling, our key insight is to exploit two sources of regularization that explicitly propagate the editing information across different views, thus ensuring multi-view consistency. For geometric regularization, we leverage the depth information derived from NeRF to establish image correspondences between different views. For learned regularization, we align the latent codes in the 2D diffusion model between edited and unedited images, ","authors_text":"Jiahua Dong, Yu-Xiong Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-01T18:59:09Z","title":"ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.00864","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:bb11d6e600aef2a6220bddfef974e8e65f613a7a2426c490b72b428c132a0416","target":"record","created_at":"2026-07-05T07:40:18Z","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":"321cc9ad55eecf5203abd0b26861ed1befc818dd70cbba504bc9b90ddb254713","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-02-01T18:59:09Z","title_canon_sha256":"d1f6dc14b9499042e105dcc2454da640f2896c400dc97e0640118c80d3b4ec84"},"schema_version":"1.0","source":{"id":"2402.00864","kind":"arxiv","version":1}},"canonical_sha256":"c89c2ca27791730ec85a0dd8d3f84fe15c7456de68f648812e822d682e7ac4e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c89c2ca27791730ec85a0dd8d3f84fe15c7456de68f648812e822d682e7ac4e7","first_computed_at":"2026-07-05T07:40:18.443547Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:40:18.443547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F1kXcmTm42wvYgx0EIhULVTozYWYVyJBf8FlAZdalD25YyEY+00gOiNBG9inh6z0TLO0tQr6+goRaN5/oC1CAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:40:18.444012Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.00864","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb11d6e600aef2a6220bddfef974e8e65f613a7a2426c490b72b428c132a0416","sha256:376eea821d6fbaf5987504a82a58c39f57d3d89c4a496cf496add47dd7325f0f"],"state_sha256":"2b20b0adfea976946ae8863fad61260a94537f6bb516e672f50394fe44c1dbc3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0QP/AP54dF//E+dEls2S7Md3IXQcHngjunziH7RzuCxO/VVhD8a2CYaBZxioy7zKnGF6f9OWLgHyXkPhIRqdDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T10:27:06.779797Z","bundle_sha256":"8b5b33dbe23a491ad4b351df97c5a4b6cf9dcd93d81913381d729905796d66f9"}}