{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SWDLUBLZR7VKXIMGUPLFK3IF7W","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":"0343a824aa70ecae6b42055c712ca118ec5115a9c2a94c017b986c7a061ed5f6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-23T10:49:39Z","title_canon_sha256":"a9bc042a004700c97eaf5a50c992201e781125f293c5e118e3644656669b2001"},"schema_version":"1.0","source":{"id":"2406.16073","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.16073","created_at":"2026-07-05T08:35:52Z"},{"alias_kind":"arxiv_version","alias_value":"2406.16073v1","created_at":"2026-07-05T08:35:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.16073","created_at":"2026-07-05T08:35:52Z"},{"alias_kind":"pith_short_12","alias_value":"SWDLUBLZR7VK","created_at":"2026-07-05T08:35:52Z"},{"alias_kind":"pith_short_16","alias_value":"SWDLUBLZR7VKXIMG","created_at":"2026-07-05T08:35:52Z"},{"alias_kind":"pith_short_8","alias_value":"SWDLUBLZ","created_at":"2026-07-05T08:35:52Z"}],"graph_snapshots":[{"event_id":"sha256:af6f263d6f2f59b8f35e2d376c234d2052c6129e76250dbb26c0db8326524295","target":"graph","created_at":"2026-07-05T08:35:52Z","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/2406.16073/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The advent of 3D Gaussian Splatting (3D-GS) techniques and their dynamic scene modeling variants, 4D-GS, offers promising prospects for real-time rendering of dynamic surgical scenarios. However, the prerequisite for modeling dynamic scenes by a large number of Gaussian units, the high-dimensional Gaussian attributes and the high-resolution deformation fields, all lead to serve storage issues that hinder real-time rendering in resource-limited surgical equipment. To surmount these limitations, we introduce a Lightweight 4D Gaussian Splatting framework (LGS) that can liberate the efficiency bot","authors_text":"Chenxin Li, Hengyu Liu, Wuyang Li, Yifan Liu, Yixuan Yuan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-23T10:49:39Z","title":"LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.16073","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":"sha256:104a71498221919b5b32a62e9fa6ef6541ed23376e9598c224356c7e989909cb","target":"record","created_at":"2026-07-05T08:35:52Z","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":"0343a824aa70ecae6b42055c712ca118ec5115a9c2a94c017b986c7a061ed5f6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-23T10:49:39Z","title_canon_sha256":"a9bc042a004700c97eaf5a50c992201e781125f293c5e118e3644656669b2001"},"schema_version":"1.0","source":{"id":"2406.16073","kind":"arxiv","version":1}},"canonical_sha256":"9586ba05798feaaba186a3d6556d05fd8d4da24a71ea1cce3f627456c2ee81ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9586ba05798feaaba186a3d6556d05fd8d4da24a71ea1cce3f627456c2ee81ad","first_computed_at":"2026-07-05T08:35:52.920126Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:35:52.920126Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FuphW9/OXPxh6bBsX1IWGhCjfV+kVpHQe9l3wLJuuE/FUOFyh8k+awl3WjGYazakN3X5S3oRagTXiFO1rvcvCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:35:52.920599Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.16073","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:104a71498221919b5b32a62e9fa6ef6541ed23376e9598c224356c7e989909cb","sha256:af6f263d6f2f59b8f35e2d376c234d2052c6129e76250dbb26c0db8326524295"],"state_sha256":"107fe7a48f2153b77d9b0910ea14b6e200b89e1fc2912bcf052275566bac8f42"}