{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:4BOSDFLP3K2F5JIJVT2XKHB4HV","short_pith_number":"pith:4BOSDFLP","canonical_record":{"source":{"id":"2311.16037","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T17:58:21Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"e5c985c5493dcf0bc2a8dc0499793158880b8c5035cab89b5ce8025c095edc1c","abstract_canon_sha256":"f92f8dda1cd764d129196ebc12654552ef63dfef62b4e1504476c0d486bec55b"},"schema_version":"1.0"},"canonical_sha256":"e05d21956fdab45ea509acf5751c3c3d4a676141e05c1bd2374b44d5a1041f63","source":{"kind":"arxiv","id":"2311.16037","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.16037","created_at":"2026-07-05T08:47:48Z"},{"alias_kind":"arxiv_version","alias_value":"2311.16037v2","created_at":"2026-07-05T08:47:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.16037","created_at":"2026-07-05T08:47:48Z"},{"alias_kind":"pith_short_12","alias_value":"4BOSDFLP3K2F","created_at":"2026-07-05T08:47:48Z"},{"alias_kind":"pith_short_16","alias_value":"4BOSDFLP3K2F5JIJ","created_at":"2026-07-05T08:47:48Z"},{"alias_kind":"pith_short_8","alias_value":"4BOSDFLP","created_at":"2026-07-05T08:47:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:4BOSDFLP3K2F5JIJVT2XKHB4HV","target":"record","payload":{"canonical_record":{"source":{"id":"2311.16037","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T17:58:21Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"e5c985c5493dcf0bc2a8dc0499793158880b8c5035cab89b5ce8025c095edc1c","abstract_canon_sha256":"f92f8dda1cd764d129196ebc12654552ef63dfef62b4e1504476c0d486bec55b"},"schema_version":"1.0"},"canonical_sha256":"e05d21956fdab45ea509acf5751c3c3d4a676141e05c1bd2374b44d5a1041f63","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:47:48.222669Z","signature_b64":"g76g6/XvSU/rjEOml+yxHRXIWkw0ZJJEFMo9LGeSITAbP/XVpEqiFlpano+reGetPXT4HRmAGR+//HYONyVCBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e05d21956fdab45ea509acf5751c3c3d4a676141e05c1bd2374b44d5a1041f63","last_reissued_at":"2026-07-05T08:47:48.222141Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:47:48.222141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.16037","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":"2026-07-05T08:47:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J6FLhlgzvGwMeURYeA9QHNKrdjpQin3OcKAsz1NlEW9s/WqM0iSrqt6fJLhZggOanr+Ls5G0033/qGylKPgbDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T20:13:24.006272Z"},"content_sha256":"f21032eecd21e295302abf59ef30eabdaf170015990c4b9f43a2901441be611f","schema_version":"1.0","event_id":"sha256:f21032eecd21e295302abf59ef30eabdaf170015990c4b9f43a2901441be611f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:4BOSDFLP3K2F5JIJVT2XKHB4HV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Jiemin Fang, Junjie Wang, Lingxi Xie, Qi Tian, Xiaopeng Zhang","submitted_at":"2023-11-27T17:58:21Z","abstract_excerpt":"Recently, impressive results have been achieved in 3D scene editing with text instructions based on a 2D diffusion model. However, current diffusion models primarily generate images by predicting noise in the latent space, and the editing is usually applied to the whole image, which makes it challenging to perform delicate, especially localized, editing for 3D scenes. Inspired by recent 3D Gaussian splatting, we propose a systematic framework, named GaussianEditor, to edit 3D scenes delicately via 3D Gaussians with text instructions. Benefiting from the explicit property of 3D Gaussians, we de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.16037","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/2311.16037/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":"2026-07-05T08:47:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RVQ/erY8FagjFlUzH0ZxGS/U2IVh36WCXmm84QhD4cJCOO8ELt/gLEMaQNXqu2La1xRZXVZqsFMMf3ZxzW4SBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T20:13:24.007227Z"},"content_sha256":"bacea5dd7eded20b7a3e4998ba7f47d688bd35d46334696d365d317f3417593c","schema_version":"1.0","event_id":"sha256:bacea5dd7eded20b7a3e4998ba7f47d688bd35d46334696d365d317f3417593c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4BOSDFLP3K2F5JIJVT2XKHB4HV/bundle.json","state_url":"https://pith.science/pith/4BOSDFLP3K2F5JIJVT2XKHB4HV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4BOSDFLP3K2F5JIJVT2XKHB4HV/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":"2026-08-12T20:13:24Z","links":{"resolver":"https://pith.science/pith/4BOSDFLP3K2F5JIJVT2XKHB4HV","bundle":"https://pith.science/pith/4BOSDFLP3K2F5JIJVT2XKHB4HV/bundle.json","state":"https://pith.science/pith/4BOSDFLP3K2F5JIJVT2XKHB4HV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4BOSDFLP3K2F5JIJVT2XKHB4HV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4BOSDFLP3K2F5JIJVT2XKHB4HV","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":"f92f8dda1cd764d129196ebc12654552ef63dfef62b4e1504476c0d486bec55b","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T17:58:21Z","title_canon_sha256":"e5c985c5493dcf0bc2a8dc0499793158880b8c5035cab89b5ce8025c095edc1c"},"schema_version":"1.0","source":{"id":"2311.16037","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.16037","created_at":"2026-07-05T08:47:48Z"},{"alias_kind":"arxiv_version","alias_value":"2311.16037v2","created_at":"2026-07-05T08:47:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.16037","created_at":"2026-07-05T08:47:48Z"},{"alias_kind":"pith_short_12","alias_value":"4BOSDFLP3K2F","created_at":"2026-07-05T08:47:48Z"},{"alias_kind":"pith_short_16","alias_value":"4BOSDFLP3K2F5JIJ","created_at":"2026-07-05T08:47:48Z"},{"alias_kind":"pith_short_8","alias_value":"4BOSDFLP","created_at":"2026-07-05T08:47:48Z"}],"graph_snapshots":[{"event_id":"sha256:bacea5dd7eded20b7a3e4998ba7f47d688bd35d46334696d365d317f3417593c","target":"graph","created_at":"2026-07-05T08:47:48Z","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/2311.16037/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, impressive results have been achieved in 3D scene editing with text instructions based on a 2D diffusion model. However, current diffusion models primarily generate images by predicting noise in the latent space, and the editing is usually applied to the whole image, which makes it challenging to perform delicate, especially localized, editing for 3D scenes. Inspired by recent 3D Gaussian splatting, we propose a systematic framework, named GaussianEditor, to edit 3D scenes delicately via 3D Gaussians with text instructions. Benefiting from the explicit property of 3D Gaussians, we de","authors_text":"Jiemin Fang, Junjie Wang, Lingxi Xie, Qi Tian, Xiaopeng Zhang","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T17:58:21Z","title":"GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.16037","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:f21032eecd21e295302abf59ef30eabdaf170015990c4b9f43a2901441be611f","target":"record","created_at":"2026-07-05T08:47:48Z","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":"f92f8dda1cd764d129196ebc12654552ef63dfef62b4e1504476c0d486bec55b","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T17:58:21Z","title_canon_sha256":"e5c985c5493dcf0bc2a8dc0499793158880b8c5035cab89b5ce8025c095edc1c"},"schema_version":"1.0","source":{"id":"2311.16037","kind":"arxiv","version":2}},"canonical_sha256":"e05d21956fdab45ea509acf5751c3c3d4a676141e05c1bd2374b44d5a1041f63","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e05d21956fdab45ea509acf5751c3c3d4a676141e05c1bd2374b44d5a1041f63","first_computed_at":"2026-07-05T08:47:48.222141Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:47:48.222141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g76g6/XvSU/rjEOml+yxHRXIWkw0ZJJEFMo9LGeSITAbP/XVpEqiFlpano+reGetPXT4HRmAGR+//HYONyVCBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:47:48.222669Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.16037","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f21032eecd21e295302abf59ef30eabdaf170015990c4b9f43a2901441be611f","sha256:bacea5dd7eded20b7a3e4998ba7f47d688bd35d46334696d365d317f3417593c"],"state_sha256":"aa92a3bf6c1774e24266b1853e87855fe4bb36796c9b82fdf9c36b70fa5f2a7e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ozNEAzUme8QAtiU4Tvn0h+c/0+zGWWf1LxboWcOiteaeed+rwRkD/5AHgGkJI7R4O32EFDjKHZpTJbwlB28HDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T20:13:24.022470Z","bundle_sha256":"b5e46936e1721826fbd372a91cd071d2cfa00bb967df3ff457718e9e484bb9e3"}}