{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:W5Q6KS4VVXCGME35VVZDIOYXJ7","short_pith_number":"pith:W5Q6KS4V","schema_version":"1.0","canonical_sha256":"b761e54b95adc466137dad72343b174fcbc2848bcba05552052a8295e596f3dd","source":{"kind":"arxiv","id":"2411.14514","version":5},"attestation_state":"computed","paper":{"title":"NexusSplats: Efficient 3D Gaussian Splatting in the Wild","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dejun Xu, Min Jiang, Yongjie Hou, Yuzhou Tang, Zhenzhong Wang","submitted_at":"2024-11-21T14:15:15Z","abstract_excerpt":"Photorealistic 3D reconstruction of unstructured real-world scenes remains challenging due to complex illumination variations and transient occlusions. Existing methods based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) struggle with inefficient light decoupling and structure-agnostic occlusion handling. To address these limitations, we propose NexusSplats, an approach tailored for efficient and high-fidelity 3D scene reconstruction under complex lighting and occlusion conditions. In particular, NexusSplats leverages a hierarchical light decoupling strategy that performs c"},"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":"2411.14514","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-21T14:15:15Z","cross_cats_sorted":[],"title_canon_sha256":"b771965905340adf67e09cd56c21b73c65ed9124805889d5bb004420ecf9702b","abstract_canon_sha256":"3d113a9533282dc0a3c53f7d34add28863e9d801390f515606d222045096f6e6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:27:20.223964Z","signature_b64":"zTAQSM5d7STr3A3C1eEflwV5xQnAlIvC4Bt4UE3cVKaqxQFTrizCSCUiVFJ3U0n0vRiMM3wZkKIthJ+xU3+WCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b761e54b95adc466137dad72343b174fcbc2848bcba05552052a8295e596f3dd","last_reissued_at":"2026-07-05T10:27:20.223482Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:27:20.223482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"NexusSplats: Efficient 3D Gaussian Splatting in the Wild","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dejun Xu, Min Jiang, Yongjie Hou, Yuzhou Tang, Zhenzhong Wang","submitted_at":"2024-11-21T14:15:15Z","abstract_excerpt":"Photorealistic 3D reconstruction of unstructured real-world scenes remains challenging due to complex illumination variations and transient occlusions. Existing methods based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) struggle with inefficient light decoupling and structure-agnostic occlusion handling. To address these limitations, we propose NexusSplats, an approach tailored for efficient and high-fidelity 3D scene reconstruction under complex lighting and occlusion conditions. In particular, NexusSplats leverages a hierarchical light decoupling strategy that performs c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.14514","kind":"arxiv","version":5},"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/2411.14514/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":"2411.14514","created_at":"2026-07-05T10:27:20.223541+00:00"},{"alias_kind":"arxiv_version","alias_value":"2411.14514v5","created_at":"2026-07-05T10:27:20.223541+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.14514","created_at":"2026-07-05T10:27:20.223541+00:00"},{"alias_kind":"pith_short_12","alias_value":"W5Q6KS4VVXCG","created_at":"2026-07-05T10:27:20.223541+00:00"},{"alias_kind":"pith_short_16","alias_value":"W5Q6KS4VVXCGME35","created_at":"2026-07-05T10:27:20.223541+00:00"},{"alias_kind":"pith_short_8","alias_value":"W5Q6KS4V","created_at":"2026-07-05T10:27:20.223541+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":4,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.29496","citing_title":"Rectifying Mask via Entropy for Distractor-Free 3DGS in Ambiguous Scenarios","ref_index":48,"is_internal_anchor":false},{"citing_arxiv_id":"2604.28193","citing_title":"Generalizable Sparse-View 3D Reconstruction from Unconstrained Images","ref_index":36,"is_internal_anchor":false},{"citing_arxiv_id":"2604.27422","citing_title":"Difix3D-W: Distractor-Free Few-Shot 3D Gaussian Splatting in the Wild","ref_index":55,"is_internal_anchor":false},{"citing_arxiv_id":"2604.13416","citing_title":"DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis","ref_index":73,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/W5Q6KS4VVXCGME35VVZDIOYXJ7","json":"https://pith.science/pith/W5Q6KS4VVXCGME35VVZDIOYXJ7.json","graph_json":"https://pith.science/api/pith-number/W5Q6KS4VVXCGME35VVZDIOYXJ7/graph.json","events_json":"https://pith.science/api/pith-number/W5Q6KS4VVXCGME35VVZDIOYXJ7/events.json","paper":"https://pith.science/paper/W5Q6KS4V"},"agent_actions":{"view_html":"https://pith.science/pith/W5Q6KS4VVXCGME35VVZDIOYXJ7","download_json":"https://pith.science/pith/W5Q6KS4VVXCGME35VVZDIOYXJ7.json","view_paper":"https://pith.science/paper/W5Q6KS4V","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2411.14514&json=true","fetch_graph":"https://pith.science/api/pith-number/W5Q6KS4VVXCGME35VVZDIOYXJ7/graph.json","fetch_events":"https://pith.science/api/pith-number/W5Q6KS4VVXCGME35VVZDIOYXJ7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W5Q6KS4VVXCGME35VVZDIOYXJ7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W5Q6KS4VVXCGME35VVZDIOYXJ7/action/storage_attestation","attest_author":"https://pith.science/pith/W5Q6KS4VVXCGME35VVZDIOYXJ7/action/author_attestation","sign_citation":"https://pith.science/pith/W5Q6KS4VVXCGME35VVZDIOYXJ7/action/citation_signature","submit_replication":"https://pith.science/pith/W5Q6KS4VVXCGME35VVZDIOYXJ7/action/replication_record"}},"created_at":"2026-07-05T10:27:20.223541+00:00","updated_at":"2026-07-05T10:27:20.223541+00:00"}