{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:46KSYEUFEUKILJVLBJ7UULWGA2","short_pith_number":"pith:46KSYEUF","schema_version":"1.0","canonical_sha256":"e7952c1285251485a6ab0a7f4a2ec606a38a2946c4487c2c248d62d39bea66d0","source":{"kind":"arxiv","id":"2506.09070","version":1},"attestation_state":"computed","paper":{"title":"STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.GR","authors_text":"Chenqi Zhang, Chentao Wu, Guangda Liu, Jieru Zhao, Minyi Guo, Wenchao Ding, Yu Feng","submitted_at":"2025-06-09T07:51:34Z","abstract_excerpt":"3D Gaussian Splatting (3DGS) has gained popularity for its efficiency and sparse Gaussian-based representation. However, 3DGS struggles to meet the real-time requirement of 90 frames per second (FPS) on resource-constrained mobile devices, achieving only 2 to 9 FPS.Existing accelerators focus on compute efficiency but overlook memory efficiency, leading to redundant DRAM traffic. We introduce STREAMINGGS, a fully streaming 3DGS algorithm-architecture co-design that achieves fine-grained pipelining and reduces DRAM traffic by transforming from a tile-centric rendering to a memory-centric render"},"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":"2506.09070","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2025-06-09T07:51:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bece36069a67d8eedba378bfa524080adeef7d14c117b6de97b56f6d1090d60d","abstract_canon_sha256":"0d1d826f4ca70038aa52fea466f49a0e3b5af1a2085d1fdde05fe148fe279291"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:31.041539Z","signature_b64":"9G4PHqhhSCLTPzzVq4ydMLadEXyjzRgXLPE7Z/xYxGOQbrfb0heJ7FYunn5w37Us3woTqu/gnP7z8NXciVbODA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7952c1285251485a6ab0a7f4a2ec606a38a2946c4487c2c248d62d39bea66d0","last_reissued_at":"2026-07-05T11:19:31.041068Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:31.041068Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.GR","authors_text":"Chenqi Zhang, Chentao Wu, Guangda Liu, Jieru Zhao, Minyi Guo, Wenchao Ding, Yu Feng","submitted_at":"2025-06-09T07:51:34Z","abstract_excerpt":"3D Gaussian Splatting (3DGS) has gained popularity for its efficiency and sparse Gaussian-based representation. However, 3DGS struggles to meet the real-time requirement of 90 frames per second (FPS) on resource-constrained mobile devices, achieving only 2 to 9 FPS.Existing accelerators focus on compute efficiency but overlook memory efficiency, leading to redundant DRAM traffic. We introduce STREAMINGGS, a fully streaming 3DGS algorithm-architecture co-design that achieves fine-grained pipelining and reduces DRAM traffic by transforming from a tile-centric rendering to a memory-centric render"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.09070","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/2506.09070/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":"2506.09070","created_at":"2026-07-05T11:19:31.041124+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.09070v1","created_at":"2026-07-05T11:19:31.041124+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.09070","created_at":"2026-07-05T11:19:31.041124+00:00"},{"alias_kind":"pith_short_12","alias_value":"46KSYEUFEUKI","created_at":"2026-07-05T11:19:31.041124+00:00"},{"alias_kind":"pith_short_16","alias_value":"46KSYEUFEUKILJVL","created_at":"2026-07-05T11:19:31.041124+00:00"},{"alias_kind":"pith_short_8","alias_value":"46KSYEUF","created_at":"2026-07-05T11:19:31.041124+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/46KSYEUFEUKILJVLBJ7UULWGA2","json":"https://pith.science/pith/46KSYEUFEUKILJVLBJ7UULWGA2.json","graph_json":"https://pith.science/api/pith-number/46KSYEUFEUKILJVLBJ7UULWGA2/graph.json","events_json":"https://pith.science/api/pith-number/46KSYEUFEUKILJVLBJ7UULWGA2/events.json","paper":"https://pith.science/paper/46KSYEUF"},"agent_actions":{"view_html":"https://pith.science/pith/46KSYEUFEUKILJVLBJ7UULWGA2","download_json":"https://pith.science/pith/46KSYEUFEUKILJVLBJ7UULWGA2.json","view_paper":"https://pith.science/paper/46KSYEUF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.09070&json=true","fetch_graph":"https://pith.science/api/pith-number/46KSYEUFEUKILJVLBJ7UULWGA2/graph.json","fetch_events":"https://pith.science/api/pith-number/46KSYEUFEUKILJVLBJ7UULWGA2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/46KSYEUFEUKILJVLBJ7UULWGA2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/46KSYEUFEUKILJVLBJ7UULWGA2/action/storage_attestation","attest_author":"https://pith.science/pith/46KSYEUFEUKILJVLBJ7UULWGA2/action/author_attestation","sign_citation":"https://pith.science/pith/46KSYEUFEUKILJVLBJ7UULWGA2/action/citation_signature","submit_replication":"https://pith.science/pith/46KSYEUFEUKILJVLBJ7UULWGA2/action/replication_record"}},"created_at":"2026-07-05T11:19:31.041124+00:00","updated_at":"2026-07-05T11:19:31.041124+00:00"}