{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:U6C7MEOVPPIRYFRMNXCOSDLCW4","short_pith_number":"pith:U6C7MEOV","canonical_record":{"source":{"id":"2312.16047","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-26T13:28:21Z","cross_cats_sorted":[],"title_canon_sha256":"1a5eb81a8f8b51dee497ef9bbc2716eee5a18728e87aad6302125b81d6dfc927","abstract_canon_sha256":"751b9a0c0d3731a1a1a8f7f648bc0beabcbe940046be7b1298e63d69905cccd6"},"schema_version":"1.0"},"canonical_sha256":"a785f611d57bd11c162c6dc4e90d62b70c63bd4ab34f21b35e2d2c182b1ba6e8","source":{"kind":"arxiv","id":"2312.16047","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.16047","created_at":"2026-07-05T07:28:05Z"},{"alias_kind":"arxiv_version","alias_value":"2312.16047v1","created_at":"2026-07-05T07:28:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.16047","created_at":"2026-07-05T07:28:05Z"},{"alias_kind":"pith_short_12","alias_value":"U6C7MEOVPPIR","created_at":"2026-07-05T07:28:05Z"},{"alias_kind":"pith_short_16","alias_value":"U6C7MEOVPPIRYFRM","created_at":"2026-07-05T07:28:05Z"},{"alias_kind":"pith_short_8","alias_value":"U6C7MEOV","created_at":"2026-07-05T07:28:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:U6C7MEOVPPIRYFRMNXCOSDLCW4","target":"record","payload":{"canonical_record":{"source":{"id":"2312.16047","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-26T13:28:21Z","cross_cats_sorted":[],"title_canon_sha256":"1a5eb81a8f8b51dee497ef9bbc2716eee5a18728e87aad6302125b81d6dfc927","abstract_canon_sha256":"751b9a0c0d3731a1a1a8f7f648bc0beabcbe940046be7b1298e63d69905cccd6"},"schema_version":"1.0"},"canonical_sha256":"a785f611d57bd11c162c6dc4e90d62b70c63bd4ab34f21b35e2d2c182b1ba6e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:28:05.240928Z","signature_b64":"gT97U2CfXv1YWd2kZajYeTmMOXkRhygs82H1b3OxLr0KDVobR7fa/Sg5aBziCe1RVClf9jVDKhQrGHi22UjnCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a785f611d57bd11c162c6dc4e90d62b70c63bd4ab34f21b35e2d2c182b1ba6e8","last_reissued_at":"2026-07-05T07:28:05.240541Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:28:05.240541Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.16047","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":"2026-07-05T07:28:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oNK+R/m1hRqRm0AQqZ70OY8Ad3ERU6lpXS/i3C3qjta94Q3JpbL6SZoJsAZQ9zQF56dt5scZWVopqUH4sCbDDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T22:33:34.481971Z"},"content_sha256":"ef6289fe77f97776e959a3d6b2312a9d152652f3a4c4d1d8a15a393adf16f830","schema_version":"1.0","event_id":"sha256:ef6289fe77f97776e959a3d6b2312a9d152652f3a4c4d1d8a15a393adf16f830"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:U6C7MEOVPPIRYFRMNXCOSDLCW4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"2D-Guided 3D Gaussian Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haolin Shi, Haoran Li, Kun Lan, Lin Wang, Pengyuan Zhou, Wenjun Wu, Yong Liao","submitted_at":"2023-12-26T13:28:21Z","abstract_excerpt":"Recently, 3D Gaussian, as an explicit 3D representation method, has demonstrated strong competitiveness over NeRF (Neural Radiance Fields) in terms of expressing complex scenes and training duration. These advantages signal a wide range of applications for 3D Gaussians in 3D understanding and editing. Meanwhile, the segmentation of 3D Gaussians is still in its infancy. The existing segmentation methods are not only cumbersome but also incapable of segmenting multiple objects simultaneously in a short amount of time. In response, this paper introduces a 3D Gaussian segmentation method implement"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.16047","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/2312.16047/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":"2026-07-05T07:28:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z7nPOWMBgqhhE55Pv133V3WQHM+LTdTuEC2DLI7qQER4YF9iGfADTVZNOBbUHCzD4akbR9lyn0IMn7zQ4KayBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T22:33:34.482359Z"},"content_sha256":"c5b4f199f80f00efcabddf0ce638bc8889957c348a0013e44757b5b16526ac8b","schema_version":"1.0","event_id":"sha256:c5b4f199f80f00efcabddf0ce638bc8889957c348a0013e44757b5b16526ac8b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U6C7MEOVPPIRYFRMNXCOSDLCW4/bundle.json","state_url":"https://pith.science/pith/U6C7MEOVPPIRYFRMNXCOSDLCW4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U6C7MEOVPPIRYFRMNXCOSDLCW4/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":"2026-07-08T22:33:34Z","links":{"resolver":"https://pith.science/pith/U6C7MEOVPPIRYFRMNXCOSDLCW4","bundle":"https://pith.science/pith/U6C7MEOVPPIRYFRMNXCOSDLCW4/bundle.json","state":"https://pith.science/pith/U6C7MEOVPPIRYFRMNXCOSDLCW4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U6C7MEOVPPIRYFRMNXCOSDLCW4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:U6C7MEOVPPIRYFRMNXCOSDLCW4","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":"751b9a0c0d3731a1a1a8f7f648bc0beabcbe940046be7b1298e63d69905cccd6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-26T13:28:21Z","title_canon_sha256":"1a5eb81a8f8b51dee497ef9bbc2716eee5a18728e87aad6302125b81d6dfc927"},"schema_version":"1.0","source":{"id":"2312.16047","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.16047","created_at":"2026-07-05T07:28:05Z"},{"alias_kind":"arxiv_version","alias_value":"2312.16047v1","created_at":"2026-07-05T07:28:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.16047","created_at":"2026-07-05T07:28:05Z"},{"alias_kind":"pith_short_12","alias_value":"U6C7MEOVPPIR","created_at":"2026-07-05T07:28:05Z"},{"alias_kind":"pith_short_16","alias_value":"U6C7MEOVPPIRYFRM","created_at":"2026-07-05T07:28:05Z"},{"alias_kind":"pith_short_8","alias_value":"U6C7MEOV","created_at":"2026-07-05T07:28:05Z"}],"graph_snapshots":[{"event_id":"sha256:c5b4f199f80f00efcabddf0ce638bc8889957c348a0013e44757b5b16526ac8b","target":"graph","created_at":"2026-07-05T07:28:05Z","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/2312.16047/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, 3D Gaussian, as an explicit 3D representation method, has demonstrated strong competitiveness over NeRF (Neural Radiance Fields) in terms of expressing complex scenes and training duration. These advantages signal a wide range of applications for 3D Gaussians in 3D understanding and editing. Meanwhile, the segmentation of 3D Gaussians is still in its infancy. The existing segmentation methods are not only cumbersome but also incapable of segmenting multiple objects simultaneously in a short amount of time. In response, this paper introduces a 3D Gaussian segmentation method implement","authors_text":"Haolin Shi, Haoran Li, Kun Lan, Lin Wang, Pengyuan Zhou, Wenjun Wu, Yong Liao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-26T13:28:21Z","title":"2D-Guided 3D Gaussian Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.16047","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:ef6289fe77f97776e959a3d6b2312a9d152652f3a4c4d1d8a15a393adf16f830","target":"record","created_at":"2026-07-05T07:28:05Z","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":"751b9a0c0d3731a1a1a8f7f648bc0beabcbe940046be7b1298e63d69905cccd6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-26T13:28:21Z","title_canon_sha256":"1a5eb81a8f8b51dee497ef9bbc2716eee5a18728e87aad6302125b81d6dfc927"},"schema_version":"1.0","source":{"id":"2312.16047","kind":"arxiv","version":1}},"canonical_sha256":"a785f611d57bd11c162c6dc4e90d62b70c63bd4ab34f21b35e2d2c182b1ba6e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a785f611d57bd11c162c6dc4e90d62b70c63bd4ab34f21b35e2d2c182b1ba6e8","first_computed_at":"2026-07-05T07:28:05.240541Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:28:05.240541Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gT97U2CfXv1YWd2kZajYeTmMOXkRhygs82H1b3OxLr0KDVobR7fa/Sg5aBziCe1RVClf9jVDKhQrGHi22UjnCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:28:05.240928Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.16047","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef6289fe77f97776e959a3d6b2312a9d152652f3a4c4d1d8a15a393adf16f830","sha256:c5b4f199f80f00efcabddf0ce638bc8889957c348a0013e44757b5b16526ac8b"],"state_sha256":"6d97264bc935670ca75b75c4bb98aac3862e3bf917709516b545ca3c1d3621b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jqr91xWhK1+FlU21WzC7nrDAleJYQ1meZa1rtZa+Iv+3VQElxIPZr/dNOjqPY1mdH6pSNdK2mbx9k0RgQXtkCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T22:33:34.484482Z","bundle_sha256":"424f634046787ae5d6e2add0bd4909142757de86f5bc78c55ee7d40f6cd8ead2"}}