{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4FNYPOGD7LA2QDYQNWQAXST2IA","short_pith_number":"pith:4FNYPOGD","canonical_record":{"source":{"id":"2408.17223","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-30T12:01:59Z","cross_cats_sorted":[],"title_canon_sha256":"4883d3fff6bbe361181860579bc63dc55b288edeedca7a5b2788b86178261c39","abstract_canon_sha256":"a68633457a4fd890b54f1d9b81ef76e0e22b716389de547f43586a2b9b467527"},"schema_version":"1.0"},"canonical_sha256":"e15b87b8c3fac1a80f106da00bca7a4008fb8222dbd8b548ebc1a502cd2efbf8","source":{"kind":"arxiv","id":"2408.17223","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.17223","created_at":"2026-07-05T09:01:12Z"},{"alias_kind":"arxiv_version","alias_value":"2408.17223v1","created_at":"2026-07-05T09:01:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.17223","created_at":"2026-07-05T09:01:12Z"},{"alias_kind":"pith_short_12","alias_value":"4FNYPOGD7LA2","created_at":"2026-07-05T09:01:12Z"},{"alias_kind":"pith_short_16","alias_value":"4FNYPOGD7LA2QDYQ","created_at":"2026-07-05T09:01:12Z"},{"alias_kind":"pith_short_8","alias_value":"4FNYPOGD","created_at":"2026-07-05T09:01:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4FNYPOGD7LA2QDYQNWQAXST2IA","target":"record","payload":{"canonical_record":{"source":{"id":"2408.17223","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-30T12:01:59Z","cross_cats_sorted":[],"title_canon_sha256":"4883d3fff6bbe361181860579bc63dc55b288edeedca7a5b2788b86178261c39","abstract_canon_sha256":"a68633457a4fd890b54f1d9b81ef76e0e22b716389de547f43586a2b9b467527"},"schema_version":"1.0"},"canonical_sha256":"e15b87b8c3fac1a80f106da00bca7a4008fb8222dbd8b548ebc1a502cd2efbf8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:01:12.457230Z","signature_b64":"Vlczh4OeMhTfZb3XMHTsLlY7Tc6maLIEvrec/lcnvyfGx4xNA3uJbfWn9f2rRLfMSTYo20DQyWOPfjb2YwVcCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e15b87b8c3fac1a80f106da00bca7a4008fb8222dbd8b548ebc1a502cd2efbf8","last_reissued_at":"2026-07-05T09:01:12.456742Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:01:12.456742Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.17223","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":"2026-07-05T09:01:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g4HDwLXHwOGHWsZHvqlOV46RnjaBTJSJgWrwYAUYFyeTZveVrBOzFgtDFbo7aJUO9VWAOKMdk1Cu1L1XWdP4Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:54:56.451285Z"},"content_sha256":"51b1db686044591e346648ae99526c2ade28c15ffd4edd77c6ec47c9a5613c6a","schema_version":"1.0","event_id":"sha256:51b1db686044591e346648ae99526c2ade28c15ffd4edd77c6ec47c9a5613c6a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4FNYPOGD7LA2QDYQNWQAXST2IA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OG-Mapping: Octree-based Structured 3D Gaussians for Online Dense Mapping","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changqun Xia, Chen Wang, Junyi Wang, Meng Wang, Yue Qi","submitted_at":"2024-08-30T12:01:59Z","abstract_excerpt":"3D Gaussian splatting (3DGS) has recently demonstrated promising advancements in RGB-D online dense mapping. Nevertheless, existing methods excessively rely on per-pixel depth cues to perform map densification, which leads to significant redundancy and increased sensitivity to depth noise. Additionally, explicitly storing 3D Gaussian parameters of room-scale scene poses a significant storage challenge. In this paper, we introduce OG-Mapping, which leverages the robust scene structural representation capability of sparse octrees, combined with structured 3D Gaussian representations, to achieve "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.17223","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/2408.17223/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":"2026-07-05T09:01:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JQJ7jxlhc0UAP4CbIFdpTQRtFXmM2q0GNvq37Vq8cP+h18496vJ2jPw4YRbpvf+9sJ+Aog3GkTP/Cl6YL9GHCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T03:54:56.452311Z"},"content_sha256":"2c6f0a5345d6a81e67e7f41fc22d51250b74a7ad12dc9ed8e83924fe61cdbebc","schema_version":"1.0","event_id":"sha256:2c6f0a5345d6a81e67e7f41fc22d51250b74a7ad12dc9ed8e83924fe61cdbebc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4FNYPOGD7LA2QDYQNWQAXST2IA/bundle.json","state_url":"https://pith.science/pith/4FNYPOGD7LA2QDYQNWQAXST2IA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4FNYPOGD7LA2QDYQNWQAXST2IA/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":"2026-08-09T03:54:56Z","links":{"resolver":"https://pith.science/pith/4FNYPOGD7LA2QDYQNWQAXST2IA","bundle":"https://pith.science/pith/4FNYPOGD7LA2QDYQNWQAXST2IA/bundle.json","state":"https://pith.science/pith/4FNYPOGD7LA2QDYQNWQAXST2IA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4FNYPOGD7LA2QDYQNWQAXST2IA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4FNYPOGD7LA2QDYQNWQAXST2IA","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":"a68633457a4fd890b54f1d9b81ef76e0e22b716389de547f43586a2b9b467527","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-30T12:01:59Z","title_canon_sha256":"4883d3fff6bbe361181860579bc63dc55b288edeedca7a5b2788b86178261c39"},"schema_version":"1.0","source":{"id":"2408.17223","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.17223","created_at":"2026-07-05T09:01:12Z"},{"alias_kind":"arxiv_version","alias_value":"2408.17223v1","created_at":"2026-07-05T09:01:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.17223","created_at":"2026-07-05T09:01:12Z"},{"alias_kind":"pith_short_12","alias_value":"4FNYPOGD7LA2","created_at":"2026-07-05T09:01:12Z"},{"alias_kind":"pith_short_16","alias_value":"4FNYPOGD7LA2QDYQ","created_at":"2026-07-05T09:01:12Z"},{"alias_kind":"pith_short_8","alias_value":"4FNYPOGD","created_at":"2026-07-05T09:01:12Z"}],"graph_snapshots":[{"event_id":"sha256:2c6f0a5345d6a81e67e7f41fc22d51250b74a7ad12dc9ed8e83924fe61cdbebc","target":"graph","created_at":"2026-07-05T09:01:12Z","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/2408.17223/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D Gaussian splatting (3DGS) has recently demonstrated promising advancements in RGB-D online dense mapping. Nevertheless, existing methods excessively rely on per-pixel depth cues to perform map densification, which leads to significant redundancy and increased sensitivity to depth noise. Additionally, explicitly storing 3D Gaussian parameters of room-scale scene poses a significant storage challenge. In this paper, we introduce OG-Mapping, which leverages the robust scene structural representation capability of sparse octrees, combined with structured 3D Gaussian representations, to achieve ","authors_text":"Changqun Xia, Chen Wang, Junyi Wang, Meng Wang, Yue Qi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-30T12:01:59Z","title":"OG-Mapping: Octree-based Structured 3D Gaussians for Online Dense Mapping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.17223","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":"sha256:51b1db686044591e346648ae99526c2ade28c15ffd4edd77c6ec47c9a5613c6a","target":"record","created_at":"2026-07-05T09:01:12Z","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":"a68633457a4fd890b54f1d9b81ef76e0e22b716389de547f43586a2b9b467527","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-30T12:01:59Z","title_canon_sha256":"4883d3fff6bbe361181860579bc63dc55b288edeedca7a5b2788b86178261c39"},"schema_version":"1.0","source":{"id":"2408.17223","kind":"arxiv","version":1}},"canonical_sha256":"e15b87b8c3fac1a80f106da00bca7a4008fb8222dbd8b548ebc1a502cd2efbf8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e15b87b8c3fac1a80f106da00bca7a4008fb8222dbd8b548ebc1a502cd2efbf8","first_computed_at":"2026-07-05T09:01:12.456742Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:01:12.456742Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vlczh4OeMhTfZb3XMHTsLlY7Tc6maLIEvrec/lcnvyfGx4xNA3uJbfWn9f2rRLfMSTYo20DQyWOPfjb2YwVcCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:01:12.457230Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.17223","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:51b1db686044591e346648ae99526c2ade28c15ffd4edd77c6ec47c9a5613c6a","sha256:2c6f0a5345d6a81e67e7f41fc22d51250b74a7ad12dc9ed8e83924fe61cdbebc"],"state_sha256":"e8446dbb244f0fc94fda724949cddfdf9b0c49cd987077233d8aba7bf71987d0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KmFYjVZMlE/5bSK8M0eiFcNvftnZ3GB2Aqlk5+lxK4cTG15syUgLfiuzkYydlyP0duR+pevHjVcgIOtYD1q6AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T03:54:56.459557Z","bundle_sha256":"444b680459febebbb889a5c26bd2143150eafe9a69fa8e0ddacc71e11be59338"}}