{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6U5IO7KPADIAXWHV4J2HO7PDAU","short_pith_number":"pith:6U5IO7KP","canonical_record":{"source":{"id":"2503.17733","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-03-22T11:26:47Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a12dfc8c13ffb11fe320aed0c66b3a98e23bc0ba59a659d335af88c81fb84663","abstract_canon_sha256":"c48d57f773ee1dfcc5c780b5106049156927dbb705147bc7bdb50246fd1352df"},"schema_version":"1.0"},"canonical_sha256":"f53a877d4f00d00bd8f5e274777de305276306da08cc5a88866fe456650fc680","source":{"kind":"arxiv","id":"2503.17733","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.17733","created_at":"2026-07-05T10:37:53Z"},{"alias_kind":"arxiv_version","alias_value":"2503.17733v1","created_at":"2026-07-05T10:37:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.17733","created_at":"2026-07-05T10:37:53Z"},{"alias_kind":"pith_short_12","alias_value":"6U5IO7KPADIA","created_at":"2026-07-05T10:37:53Z"},{"alias_kind":"pith_short_16","alias_value":"6U5IO7KPADIAXWHV","created_at":"2026-07-05T10:37:53Z"},{"alias_kind":"pith_short_8","alias_value":"6U5IO7KP","created_at":"2026-07-05T10:37:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6U5IO7KPADIAXWHV4J2HO7PDAU","target":"record","payload":{"canonical_record":{"source":{"id":"2503.17733","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-03-22T11:26:47Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a12dfc8c13ffb11fe320aed0c66b3a98e23bc0ba59a659d335af88c81fb84663","abstract_canon_sha256":"c48d57f773ee1dfcc5c780b5106049156927dbb705147bc7bdb50246fd1352df"},"schema_version":"1.0"},"canonical_sha256":"f53a877d4f00d00bd8f5e274777de305276306da08cc5a88866fe456650fc680","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:37:53.352461Z","signature_b64":"BcobVbaB7i4+Q8oNgLuFQkNaPdiFId8/3TcZR7ixICVgVDjm8iJKIbGzrDdlD5OzpckfbkoFr5IQgSDAzMhHDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f53a877d4f00d00bd8f5e274777de305276306da08cc5a88866fe456650fc680","last_reissued_at":"2026-07-05T10:37:53.351818Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:37:53.351818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.17733","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":"2026-07-05T10:37:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NeCf45mAsKzkiwcUMX3TWGv/oNpJUxoFdMtR3avrCIHFqZbLRar4BtZG2m3aJ1/GMAOaUC19sAIaAi3CGdCmAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T11:23:28.562119Z"},"content_sha256":"792b00abc2c4c2fdba07f6e23f414afb2d697f4fd47c93e89dbfec9b6fb96db9","schema_version":"1.0","event_id":"sha256:792b00abc2c4c2fdba07f6e23f414afb2d697f4fd47c93e89dbfec9b6fb96db9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6U5IO7KPADIAXWHV4J2HO7PDAU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GS-LTS: 3D Gaussian Splatting-Based Adaptive Modeling for Long-Term Service Robots","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Bin Fu, Bin Zhang, Jialin Li, Ruiping Wang, Xilin Chen","submitted_at":"2025-03-22T11:26:47Z","abstract_excerpt":"3D Gaussian Splatting (3DGS) has garnered significant attention in robotics for its explicit, high fidelity dense scene representation, demonstrating strong potential for robotic applications. However, 3DGS-based methods in robotics primarily focus on static scenes, with limited attention to the dynamic scene changes essential for long-term service robots. These robots demand sustained task execution and efficient scene updates-challenges current approaches fail to meet. To address these limitations, we propose GS-LTS (Gaussian Splatting for Long-Term Service), a 3DGS-based system enabling ind"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.17733","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/2503.17733/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":"2026-07-05T10:37:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nqZnbgZtumQS1mR/xmSQWQ0Yut7Cz5YAGFqsp+5ttyF36LJ+iG5LaE0yc19j4dTXoMVaf55Isalb5puZxx2CCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T11:23:28.562617Z"},"content_sha256":"e6fe5bdf2ed05129dcb7977bc39a45983d2f92ac9550ae5faf3c2c87d6a69b49","schema_version":"1.0","event_id":"sha256:e6fe5bdf2ed05129dcb7977bc39a45983d2f92ac9550ae5faf3c2c87d6a69b49"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6U5IO7KPADIAXWHV4J2HO7PDAU/bundle.json","state_url":"https://pith.science/pith/6U5IO7KPADIAXWHV4J2HO7PDAU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6U5IO7KPADIAXWHV4J2HO7PDAU/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":"2026-08-11T11:23:28Z","links":{"resolver":"https://pith.science/pith/6U5IO7KPADIAXWHV4J2HO7PDAU","bundle":"https://pith.science/pith/6U5IO7KPADIAXWHV4J2HO7PDAU/bundle.json","state":"https://pith.science/pith/6U5IO7KPADIAXWHV4J2HO7PDAU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6U5IO7KPADIAXWHV4J2HO7PDAU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6U5IO7KPADIAXWHV4J2HO7PDAU","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":"c48d57f773ee1dfcc5c780b5106049156927dbb705147bc7bdb50246fd1352df","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-03-22T11:26:47Z","title_canon_sha256":"a12dfc8c13ffb11fe320aed0c66b3a98e23bc0ba59a659d335af88c81fb84663"},"schema_version":"1.0","source":{"id":"2503.17733","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.17733","created_at":"2026-07-05T10:37:53Z"},{"alias_kind":"arxiv_version","alias_value":"2503.17733v1","created_at":"2026-07-05T10:37:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.17733","created_at":"2026-07-05T10:37:53Z"},{"alias_kind":"pith_short_12","alias_value":"6U5IO7KPADIA","created_at":"2026-07-05T10:37:53Z"},{"alias_kind":"pith_short_16","alias_value":"6U5IO7KPADIAXWHV","created_at":"2026-07-05T10:37:53Z"},{"alias_kind":"pith_short_8","alias_value":"6U5IO7KP","created_at":"2026-07-05T10:37:53Z"}],"graph_snapshots":[{"event_id":"sha256:e6fe5bdf2ed05129dcb7977bc39a45983d2f92ac9550ae5faf3c2c87d6a69b49","target":"graph","created_at":"2026-07-05T10:37:53Z","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/2503.17733/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D Gaussian Splatting (3DGS) has garnered significant attention in robotics for its explicit, high fidelity dense scene representation, demonstrating strong potential for robotic applications. However, 3DGS-based methods in robotics primarily focus on static scenes, with limited attention to the dynamic scene changes essential for long-term service robots. These robots demand sustained task execution and efficient scene updates-challenges current approaches fail to meet. To address these limitations, we propose GS-LTS (Gaussian Splatting for Long-Term Service), a 3DGS-based system enabling ind","authors_text":"Bin Fu, Bin Zhang, Jialin Li, Ruiping Wang, Xilin Chen","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-03-22T11:26:47Z","title":"GS-LTS: 3D Gaussian Splatting-Based Adaptive Modeling for Long-Term Service Robots"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.17733","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":"sha256:792b00abc2c4c2fdba07f6e23f414afb2d697f4fd47c93e89dbfec9b6fb96db9","target":"record","created_at":"2026-07-05T10:37:53Z","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":"c48d57f773ee1dfcc5c780b5106049156927dbb705147bc7bdb50246fd1352df","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.RO","submitted_at":"2025-03-22T11:26:47Z","title_canon_sha256":"a12dfc8c13ffb11fe320aed0c66b3a98e23bc0ba59a659d335af88c81fb84663"},"schema_version":"1.0","source":{"id":"2503.17733","kind":"arxiv","version":1}},"canonical_sha256":"f53a877d4f00d00bd8f5e274777de305276306da08cc5a88866fe456650fc680","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f53a877d4f00d00bd8f5e274777de305276306da08cc5a88866fe456650fc680","first_computed_at":"2026-07-05T10:37:53.351818Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:37:53.351818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BcobVbaB7i4+Q8oNgLuFQkNaPdiFId8/3TcZR7ixICVgVDjm8iJKIbGzrDdlD5OzpckfbkoFr5IQgSDAzMhHDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:37:53.352461Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.17733","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:792b00abc2c4c2fdba07f6e23f414afb2d697f4fd47c93e89dbfec9b6fb96db9","sha256:e6fe5bdf2ed05129dcb7977bc39a45983d2f92ac9550ae5faf3c2c87d6a69b49"],"state_sha256":"793fcc4ca94b3db934c850a6e11463ee5b9fe8f9e7969958dc5d0a95ea61c3ca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lgmwVDDEWDMS9ku5kIpwkfgqJVAehy0Ncw+T2zP0kUWgUpn+2nBEPjHbFtRojt15NlzSda0FRfaIji767/QLAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T11:23:28.567391Z","bundle_sha256":"833e3346fc4fe3e6b66aa87e292de9bf575c464ac222d973cf8ce1eeabed676d"}}