{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:UQGNN22LH3Z2MO42JLXFB6XB7H","short_pith_number":"pith:UQGNN22L","schema_version":"1.0","canonical_sha256":"a40cd6eb4b3ef3a63b9a4aee50fae1f9cd419c098259273f96e91ffe474426f8","source":{"kind":"arxiv","id":"2406.07499","version":1},"attestation_state":"computed","paper":{"title":"Trim 3D Gaussian Splatting for Accurate Geometry Representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Hongsheng Li, Lue Fan, Minxing Li, Yuxue Yang, Zhaoxiang Zhang","submitted_at":"2024-06-11T17:34:46Z","abstract_excerpt":"In this paper, we introduce Trim 3D Gaussian Splatting (TrimGS) to reconstruct accurate 3D geometry from images. Previous arts for geometry reconstruction from 3D Gaussians mainly focus on exploring strong geometry regularization. Instead, from a fresh perspective, we propose to obtain accurate 3D geometry of a scene by Gaussian trimming, which selectively removes the inaccurate geometry while preserving accurate structures. To achieve this, we analyze the contributions of individual 3D Gaussians and propose a contribution-based trimming strategy to remove the redundant or inaccurate Gaussians"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2406.07499","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-11T17:34:46Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"833702fef0fd23c496bf90b58579bdcd7d0434f56c052a9756bde34aafac13dc","abstract_canon_sha256":"b6a91b1e9f564425257782f0fe70304abeb0903008e9e666633ef4fa648c6ccf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:30:26.203541Z","signature_b64":"RyD1J/uNUGXBGmUY3z1uBxzNiFOeIa1VNCQAxOj3eK52us9iEp0/Ghb3/Pk1hnC5Iv+TsKSUxbXiHjraK4rlBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a40cd6eb4b3ef3a63b9a4aee50fae1f9cd419c098259273f96e91ffe474426f8","last_reissued_at":"2026-07-05T08:30:26.202984Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:30:26.202984Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Trim 3D Gaussian Splatting for Accurate Geometry Representation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Hongsheng Li, Lue Fan, Minxing Li, Yuxue Yang, Zhaoxiang Zhang","submitted_at":"2024-06-11T17:34:46Z","abstract_excerpt":"In this paper, we introduce Trim 3D Gaussian Splatting (TrimGS) to reconstruct accurate 3D geometry from images. Previous arts for geometry reconstruction from 3D Gaussians mainly focus on exploring strong geometry regularization. Instead, from a fresh perspective, we propose to obtain accurate 3D geometry of a scene by Gaussian trimming, which selectively removes the inaccurate geometry while preserving accurate structures. To achieve this, we analyze the contributions of individual 3D Gaussians and propose a contribution-based trimming strategy to remove the redundant or inaccurate Gaussians"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.07499","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/2406.07499/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2406.07499","created_at":"2026-07-05T08:30:26.203046+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.07499v1","created_at":"2026-07-05T08:30:26.203046+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.07499","created_at":"2026-07-05T08:30:26.203046+00:00"},{"alias_kind":"pith_short_12","alias_value":"UQGNN22LH3Z2","created_at":"2026-07-05T08:30:26.203046+00:00"},{"alias_kind":"pith_short_16","alias_value":"UQGNN22LH3Z2MO42","created_at":"2026-07-05T08:30:26.203046+00:00"},{"alias_kind":"pith_short_8","alias_value":"UQGNN22L","created_at":"2026-07-05T08:30:26.203046+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":5,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.26115","citing_title":"TriSplat: Simulation-Ready Feed-Forward 3D Scene Reconstruction","ref_index":44,"is_internal_anchor":false},{"citing_arxiv_id":"2412.09176","citing_title":"LIVE-GS: LLM Powers Interactive VR Experience with Physics-Aware Gaussian Splatting","ref_index":9,"is_internal_anchor":false},{"citing_arxiv_id":"2605.20872","citing_title":"CAdam: Context-Adaptive Moment Estimation for 3D Gaussian Densification in Generative Distillation","ref_index":19,"is_internal_anchor":false},{"citing_arxiv_id":"2511.19172","citing_title":"MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenes","ref_index":11,"is_internal_anchor":false},{"citing_arxiv_id":"2604.10982","citing_title":"{\\Psi}-Map: Panoptic Surface Integrated Mapping Enables Real2Sim Transfer","ref_index":35,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UQGNN22LH3Z2MO42JLXFB6XB7H","json":"https://pith.science/pith/UQGNN22LH3Z2MO42JLXFB6XB7H.json","graph_json":"https://pith.science/api/pith-number/UQGNN22LH3Z2MO42JLXFB6XB7H/graph.json","events_json":"https://pith.science/api/pith-number/UQGNN22LH3Z2MO42JLXFB6XB7H/events.json","paper":"https://pith.science/paper/UQGNN22L"},"agent_actions":{"view_html":"https://pith.science/pith/UQGNN22LH3Z2MO42JLXFB6XB7H","download_json":"https://pith.science/pith/UQGNN22LH3Z2MO42JLXFB6XB7H.json","view_paper":"https://pith.science/paper/UQGNN22L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.07499&json=true","fetch_graph":"https://pith.science/api/pith-number/UQGNN22LH3Z2MO42JLXFB6XB7H/graph.json","fetch_events":"https://pith.science/api/pith-number/UQGNN22LH3Z2MO42JLXFB6XB7H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UQGNN22LH3Z2MO42JLXFB6XB7H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UQGNN22LH3Z2MO42JLXFB6XB7H/action/storage_attestation","attest_author":"https://pith.science/pith/UQGNN22LH3Z2MO42JLXFB6XB7H/action/author_attestation","sign_citation":"https://pith.science/pith/UQGNN22LH3Z2MO42JLXFB6XB7H/action/citation_signature","submit_replication":"https://pith.science/pith/UQGNN22LH3Z2MO42JLXFB6XB7H/action/replication_record"}},"created_at":"2026-07-05T08:30:26.203046+00:00","updated_at":"2026-07-05T08:30:26.203046+00:00"}