{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WRLT7D2YRJV5LXJPR5WBDP5AMV","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":"7cb0de45b9fc4f356ccd9b630aaf6a7e0ddfbd162778ff4b78fe41667f4edd14","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-01T16:52:21Z","title_canon_sha256":"354e86cf060a5238d07a7a0e2a098e5ffabf927e872176a41e0d0ecf52fc3244"},"schema_version":"1.0","source":{"id":"2402.00763","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.00763","created_at":"2026-07-05T07:40:17Z"},{"alias_kind":"arxiv_version","alias_value":"2402.00763v1","created_at":"2026-07-05T07:40:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.00763","created_at":"2026-07-05T07:40:17Z"},{"alias_kind":"pith_short_12","alias_value":"WRLT7D2YRJV5","created_at":"2026-07-05T07:40:17Z"},{"alias_kind":"pith_short_16","alias_value":"WRLT7D2YRJV5LXJP","created_at":"2026-07-05T07:40:17Z"},{"alias_kind":"pith_short_8","alias_value":"WRLT7D2Y","created_at":"2026-07-05T07:40:17Z"}],"graph_snapshots":[{"event_id":"sha256:beee1f27a10d15c67103766369141b038146de22508de659ab1297855436d58a","target":"graph","created_at":"2026-07-05T07:40:17Z","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/2402.00763/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D Gaussian Splatting (3D-GS) has recently attracted great attention with real-time and photo-realistic renderings. This technique typically takes perspective images as input and optimizes a set of 3D elliptical Gaussians by splatting them onto the image planes, resulting in 2D Gaussians. However, applying 3D-GS to panoramic inputs presents challenges in effectively modeling the projection onto the spherical surface of ${360^\\circ}$ images using 2D Gaussians. In practical applications, input panoramas are often sparse, leading to unreliable initialization of 3D Gaussians and subsequent degrada","authors_text":"Jiayang Bai, Jie Guo, Letian Huang, Wen Gong, Yanwen Guo, Yuanqi Li","cross_cats":["cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-01T16:52:21Z","title":"360-GS: Layout-guided Panoramic Gaussian Splatting For Indoor Roaming"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.00763","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:b5cd29a2b3ab1e1685b6f00f9840ffbd4dada397626d64e73ff26185fe37ad1d","target":"record","created_at":"2026-07-05T07:40:17Z","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":"7cb0de45b9fc4f356ccd9b630aaf6a7e0ddfbd162778ff4b78fe41667f4edd14","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-01T16:52:21Z","title_canon_sha256":"354e86cf060a5238d07a7a0e2a098e5ffabf927e872176a41e0d0ecf52fc3244"},"schema_version":"1.0","source":{"id":"2402.00763","kind":"arxiv","version":1}},"canonical_sha256":"b4573f8f588a6bd5dd2f8f6c11bfa06547dc3f31d213ad90cd35105517521af4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b4573f8f588a6bd5dd2f8f6c11bfa06547dc3f31d213ad90cd35105517521af4","first_computed_at":"2026-07-05T07:40:17.397112Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:40:17.397112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RjaR2WIZuDFtoGxVqzedcldcnIuySlvvfrLDgBg7ctkFOx4C3Sy8QmkmnvsL7pVY/E1+qV3H+DxSeS30BAyxAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:40:17.397537Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.00763","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b5cd29a2b3ab1e1685b6f00f9840ffbd4dada397626d64e73ff26185fe37ad1d","sha256:beee1f27a10d15c67103766369141b038146de22508de659ab1297855436d58a"],"state_sha256":"2b98d804d91a7676d8f0e51337c384335a3d0a1e96a49fb9ffacf5d99c7c71b2"}