{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CBGWGUOJPBIHQP5PSVUP466P2G","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":"d9cdbe33a009006ca39418d2e36f09774770c2c0e0146f50baf338770ceccd09","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-20T11:33:51Z","title_canon_sha256":"2d3a87621a2af915045d927ab7b0f3934bd0abbb97396c0d8960d5d553dcb5e8"},"schema_version":"1.0","source":{"id":"2607.17842","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.17842","created_at":"2026-07-21T02:22:03Z"},{"alias_kind":"arxiv_version","alias_value":"2607.17842v1","created_at":"2026-07-21T02:22:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.17842","created_at":"2026-07-21T02:22:03Z"},{"alias_kind":"pith_short_12","alias_value":"CBGWGUOJPBIH","created_at":"2026-07-21T02:22:03Z"},{"alias_kind":"pith_short_16","alias_value":"CBGWGUOJPBIHQP5P","created_at":"2026-07-21T02:22:03Z"},{"alias_kind":"pith_short_8","alias_value":"CBGWGUOJ","created_at":"2026-07-21T02:22:03Z"}],"graph_snapshots":[{"event_id":"sha256:6dd59d7f3868ba83740c5e2f3be2360d21ccfb1d4c77df4b35bf0bc36d615b13","target":"graph","created_at":"2026-07-21T02:22:03Z","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/2607.17842/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent breakthroughs in 3D Gaussian Splatting (3DGS) have advanced neural rendering with high fidelity and speed. However, its performance degrades significantly in large-scale scenes due to the computational burden of tile-based rasterization. Existing optimization efforts either require costly scene re-training or focus on narrow aspects of the pipeline, overlooking critical inefficiencies in real-world deployments. Through a comprehensive analysis, we identify three primary sources of redundancy and low GPU utilization: redundant inter-frame pre-processing, viewpoint-based occlusion redunda","authors_text":"Bo Chen, Fan Wu, Guihai Chen, Shengzhong Liu, Tingjia Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-20T11:33:51Z","title":"CaT-GS: Efficient 3DGS Rendering for Large Scale Scenes via Inter-frame Caching and Tile Scheduling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.17842","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:e9cff555350cbf77277ce900ea17d5e6a1f3b50a612843c24dfa824f99573230","target":"record","created_at":"2026-07-21T02:22:03Z","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":"d9cdbe33a009006ca39418d2e36f09774770c2c0e0146f50baf338770ceccd09","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-20T11:33:51Z","title_canon_sha256":"2d3a87621a2af915045d927ab7b0f3934bd0abbb97396c0d8960d5d553dcb5e8"},"schema_version":"1.0","source":{"id":"2607.17842","kind":"arxiv","version":1}},"canonical_sha256":"104d6351c97850783faf9568fe7bcfd1a7a32e353634934f0a3a647d81c80435","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"104d6351c97850783faf9568fe7bcfd1a7a32e353634934f0a3a647d81c80435","first_computed_at":"2026-07-21T02:22:03.023106Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-21T02:22:03.023106Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GCRHuHUZaHebjiB0O8NTR/dWr4aihlxu1MOR2Zk+2f//OjlpIQrpufBF5C3YnE38VQJV5vB1DtMPjkpfkFB7Bg==","signature_status":"signed_v1","signed_at":"2026-07-21T02:22:03.023988Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.17842","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e9cff555350cbf77277ce900ea17d5e6a1f3b50a612843c24dfa824f99573230","sha256:6dd59d7f3868ba83740c5e2f3be2360d21ccfb1d4c77df4b35bf0bc36d615b13"],"state_sha256":"c693367ad5dd3f4d282830915764750af18944baeee53df577237a91e547e2b3"}