{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:73CC7US2Q45GCUFRSHVECAYN5B","short_pith_number":"pith:73CC7US2","schema_version":"1.0","canonical_sha256":"fec42fd25a873a6150b191ea41030de864ebcdebbc5d31094f03081edd2c04d6","source":{"kind":"arxiv","id":"2607.26578","version":1},"attestation_state":"computed","paper":{"title":"3DGBGS: 3D Granular Ball Gaussian Splatting for Compact Novel View Synthesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dawei Dai, Meng Yang, Shuyin Xia, YiWang","submitted_at":"2026-07-29T07:57:17Z","abstract_excerpt":"Three-dimensional Gaussian Splatting (3DGS) enables high-quality real-time novel-view synthesis through explicit Gaussian primitives and differentiable rasterization. 3DGS and Granular Ball Computing (GBC), proposed in 2019, share a natural compatibility in adaptive representation. The efficiency of 3DGS partly stems from a coarse-to-fine and on-demand refinement process that draws on the generation principle of GBC. This connection motivates us to further introduce adaptive granular ball organization into anchor-based 3DGS. Existing anchor-based methods typically construct anchors from sparse"},"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":"2607.26578","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-29T07:57:17Z","cross_cats_sorted":[],"title_canon_sha256":"5309e940617878e0cd364b9c3b75cc64fcc1a002d010b4d9804f329938c2dc0f","abstract_canon_sha256":"07a8e795105fc4069a8d22e33efc12bf9330d294adec6ed0a901a8b91ef6de6a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fec42fd25a873a6150b191ea41030de864ebcdebbc5d31094f03081edd2c04d6","last_reissued_at":"2026-07-30T01:21:00.402423Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-30T01:21:00.402423Z"},"graph_snapshot":{"paper":{"title":"3DGBGS: 3D Granular Ball Gaussian Splatting for Compact Novel View Synthesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dawei Dai, Meng Yang, Shuyin Xia, YiWang","submitted_at":"2026-07-29T07:57:17Z","abstract_excerpt":"Three-dimensional Gaussian Splatting (3DGS) enables high-quality real-time novel-view synthesis through explicit Gaussian primitives and differentiable rasterization. 3DGS and Granular Ball Computing (GBC), proposed in 2019, share a natural compatibility in adaptive representation. The efficiency of 3DGS partly stems from a coarse-to-fine and on-demand refinement process that draws on the generation principle of GBC. This connection motivates us to further introduce adaptive granular ball organization into anchor-based 3DGS. Existing anchor-based methods typically construct anchors from sparse"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.26578","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/2607.26578/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":"2607.26578","created_at":"2026-07-30T01:21:00.407978+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.26578v1","created_at":"2026-07-30T01:21:00.407978+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.26578","created_at":"2026-07-30T01:21:00.407978+00:00"},{"alias_kind":"pith_short_12","alias_value":"73CC7US2Q45G","created_at":"2026-07-30T01:21:00.407978+00:00"},{"alias_kind":"pith_short_16","alias_value":"73CC7US2Q45GCUFR","created_at":"2026-07-30T01:21:00.407978+00:00"},{"alias_kind":"pith_short_8","alias_value":"73CC7US2","created_at":"2026-07-30T01:21:00.407978+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/73CC7US2Q45GCUFRSHVECAYN5B","json":"https://pith.science/pith/73CC7US2Q45GCUFRSHVECAYN5B.json","graph_json":"https://pith.science/api/pith-number/73CC7US2Q45GCUFRSHVECAYN5B/graph.json","events_json":"https://pith.science/api/pith-number/73CC7US2Q45GCUFRSHVECAYN5B/events.json","paper":"https://pith.science/paper/73CC7US2"},"agent_actions":{"view_html":"https://pith.science/pith/73CC7US2Q45GCUFRSHVECAYN5B","download_json":"https://pith.science/pith/73CC7US2Q45GCUFRSHVECAYN5B.json","view_paper":"https://pith.science/paper/73CC7US2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.26578&json=true","fetch_graph":"https://pith.science/api/pith-number/73CC7US2Q45GCUFRSHVECAYN5B/graph.json","fetch_events":"https://pith.science/api/pith-number/73CC7US2Q45GCUFRSHVECAYN5B/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/73CC7US2Q45GCUFRSHVECAYN5B/action/timestamp_anchor","attest_storage":"https://pith.science/pith/73CC7US2Q45GCUFRSHVECAYN5B/action/storage_attestation","attest_author":"https://pith.science/pith/73CC7US2Q45GCUFRSHVECAYN5B/action/author_attestation","sign_citation":"https://pith.science/pith/73CC7US2Q45GCUFRSHVECAYN5B/action/citation_signature","submit_replication":"https://pith.science/pith/73CC7US2Q45GCUFRSHVECAYN5B/action/replication_record"}},"created_at":"2026-07-30T01:21:00.407978+00:00","updated_at":"2026-07-30T01:21:00.407978+00:00"}