{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:63O6RTQLSEX3RLVHIHI4UD4WKD","short_pith_number":"pith:63O6RTQL","canonical_record":{"source":{"id":"2206.04901","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-10T06:54:22Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"bb8cc3c56948f2d69c1f94ebe9cc7aed06e5f3fc8fc07151e6d502877dc4a455","abstract_canon_sha256":"f244b56f04cb391119cb4b8c2e44feacc30572bf88de6ba22f7ed3b3f4a13905"},"schema_version":"1.0"},"canonical_sha256":"f6dde8ce0b912fb8aea741d1ca0f9650c6a4d506008199e953c74b42cf79cada","source":{"kind":"arxiv","id":"2206.04901","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.04901","created_at":"2026-07-05T04:30:45Z"},{"alias_kind":"arxiv_version","alias_value":"2206.04901v1","created_at":"2026-07-05T04:30:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.04901","created_at":"2026-07-05T04:30:45Z"},{"alias_kind":"pith_short_12","alias_value":"63O6RTQLSEX3","created_at":"2026-07-05T04:30:45Z"},{"alias_kind":"pith_short_16","alias_value":"63O6RTQLSEX3RLVH","created_at":"2026-07-05T04:30:45Z"},{"alias_kind":"pith_short_8","alias_value":"63O6RTQL","created_at":"2026-07-05T04:30:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:63O6RTQLSEX3RLVHIHI4UD4WKD","target":"record","payload":{"canonical_record":{"source":{"id":"2206.04901","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-10T06:54:22Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"bb8cc3c56948f2d69c1f94ebe9cc7aed06e5f3fc8fc07151e6d502877dc4a455","abstract_canon_sha256":"f244b56f04cb391119cb4b8c2e44feacc30572bf88de6ba22f7ed3b3f4a13905"},"schema_version":"1.0"},"canonical_sha256":"f6dde8ce0b912fb8aea741d1ca0f9650c6a4d506008199e953c74b42cf79cada","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:30:45.426302Z","signature_b64":"/yg02jfgO5zIOQUZRjiRhQN2bayTB1A9e+1cpDPLLIhRk2hyMzDjvinRXnxDRKbKtc+WTQIqDQUF75oDwnSaAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f6dde8ce0b912fb8aea741d1ca0f9650c6a4d506008199e953c74b42cf79cada","last_reissued_at":"2026-07-05T04:30:45.425843Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:30:45.425843Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.04901","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":"2026-07-05T04:30:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E39FapEWtZ6WzCSRHj0dpVCd44fsAMGpQPXlsvJ6wZ2xPEL6Lvk2PZND4KsdvhYN0JXoJU/CuivNr+baWARDAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T11:52:00.728012Z"},"content_sha256":"abe32fb90dcf112c10e7feac3d051bfba0c4b5e4d94aa40353d5875f4aca4232","schema_version":"1.0","event_id":"sha256:abe32fb90dcf112c10e7feac3d051bfba0c4b5e4d94aa40353d5875f4aca4232"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:63O6RTQLSEX3RLVHIHI4UD4WKD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NeRF-In: Free-Form NeRF Inpainting with RGB-D Priors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Bing-Yu Chen, Hao-Kang Liu, I-Chao Shen","submitted_at":"2022-06-10T06:54:22Z","abstract_excerpt":"Though Neural Radiance Field (NeRF) demonstrates compelling novel view synthesis results, it is still unintuitive to edit a pre-trained NeRF because the neural network's parameters and the scene geometry/appearance are often not explicitly associated. In this paper, we introduce the first framework that enables users to remove unwanted objects or retouch undesired regions in a 3D scene represented by a pre-trained NeRF without any category-specific data and training. The user first draws a free-form mask to specify a region containing unwanted objects over a rendered view from the pre-trained "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.04901","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/2206.04901/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":"2026-07-05T04:30:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"x7wkh+DJd7pP0BZcwOPTvmrN0ze/+/rJDGDyIaiE3/GKg9cBF42Ij+SHcNMSFGnne3euSbyNFNX/Am7PvOvoDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T11:52:00.728489Z"},"content_sha256":"a34b20e05cfe07340395a612a0341b4525f0c1d98741eb05104f561446ca89da","schema_version":"1.0","event_id":"sha256:a34b20e05cfe07340395a612a0341b4525f0c1d98741eb05104f561446ca89da"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/63O6RTQLSEX3RLVHIHI4UD4WKD/bundle.json","state_url":"https://pith.science/pith/63O6RTQLSEX3RLVHIHI4UD4WKD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/63O6RTQLSEX3RLVHIHI4UD4WKD/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":"2026-07-05T11:52:00Z","links":{"resolver":"https://pith.science/pith/63O6RTQLSEX3RLVHIHI4UD4WKD","bundle":"https://pith.science/pith/63O6RTQLSEX3RLVHIHI4UD4WKD/bundle.json","state":"https://pith.science/pith/63O6RTQLSEX3RLVHIHI4UD4WKD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/63O6RTQLSEX3RLVHIHI4UD4WKD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:63O6RTQLSEX3RLVHIHI4UD4WKD","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":"f244b56f04cb391119cb4b8c2e44feacc30572bf88de6ba22f7ed3b3f4a13905","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-10T06:54:22Z","title_canon_sha256":"bb8cc3c56948f2d69c1f94ebe9cc7aed06e5f3fc8fc07151e6d502877dc4a455"},"schema_version":"1.0","source":{"id":"2206.04901","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.04901","created_at":"2026-07-05T04:30:45Z"},{"alias_kind":"arxiv_version","alias_value":"2206.04901v1","created_at":"2026-07-05T04:30:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.04901","created_at":"2026-07-05T04:30:45Z"},{"alias_kind":"pith_short_12","alias_value":"63O6RTQLSEX3","created_at":"2026-07-05T04:30:45Z"},{"alias_kind":"pith_short_16","alias_value":"63O6RTQLSEX3RLVH","created_at":"2026-07-05T04:30:45Z"},{"alias_kind":"pith_short_8","alias_value":"63O6RTQL","created_at":"2026-07-05T04:30:45Z"}],"graph_snapshots":[{"event_id":"sha256:a34b20e05cfe07340395a612a0341b4525f0c1d98741eb05104f561446ca89da","target":"graph","created_at":"2026-07-05T04:30:45Z","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/2206.04901/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Though Neural Radiance Field (NeRF) demonstrates compelling novel view synthesis results, it is still unintuitive to edit a pre-trained NeRF because the neural network's parameters and the scene geometry/appearance are often not explicitly associated. In this paper, we introduce the first framework that enables users to remove unwanted objects or retouch undesired regions in a 3D scene represented by a pre-trained NeRF without any category-specific data and training. The user first draws a free-form mask to specify a region containing unwanted objects over a rendered view from the pre-trained ","authors_text":"Bing-Yu Chen, Hao-Kang Liu, I-Chao Shen","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-10T06:54:22Z","title":"NeRF-In: Free-Form NeRF Inpainting with RGB-D Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.04901","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:abe32fb90dcf112c10e7feac3d051bfba0c4b5e4d94aa40353d5875f4aca4232","target":"record","created_at":"2026-07-05T04:30:45Z","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":"f244b56f04cb391119cb4b8c2e44feacc30572bf88de6ba22f7ed3b3f4a13905","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-06-10T06:54:22Z","title_canon_sha256":"bb8cc3c56948f2d69c1f94ebe9cc7aed06e5f3fc8fc07151e6d502877dc4a455"},"schema_version":"1.0","source":{"id":"2206.04901","kind":"arxiv","version":1}},"canonical_sha256":"f6dde8ce0b912fb8aea741d1ca0f9650c6a4d506008199e953c74b42cf79cada","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6dde8ce0b912fb8aea741d1ca0f9650c6a4d506008199e953c74b42cf79cada","first_computed_at":"2026-07-05T04:30:45.425843Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:30:45.425843Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/yg02jfgO5zIOQUZRjiRhQN2bayTB1A9e+1cpDPLLIhRk2hyMzDjvinRXnxDRKbKtc+WTQIqDQUF75oDwnSaAA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:30:45.426302Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.04901","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:abe32fb90dcf112c10e7feac3d051bfba0c4b5e4d94aa40353d5875f4aca4232","sha256:a34b20e05cfe07340395a612a0341b4525f0c1d98741eb05104f561446ca89da"],"state_sha256":"53a987b74158d055cf51acdae8c87aed2b9388d441db287ec8e67fd27a63bce7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PrQKWDWNit5dGQgmA9x9qyDah9bbBMo5xVfRue5g2DhErpQhdcp0hQBrtUUHlnUBwSwgDk9XHrbFOy9hEYbMBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T11:52:00.730774Z","bundle_sha256":"067d3e8b208d4286304616216ac53387c2e16c122b631236b108fe7952856cb3"}}