{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KGO442JY7A6NVJMXPI2LG3G5SE","short_pith_number":"pith:KGO442JY","canonical_record":{"source":{"id":"2507.21499","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-07-29T04:46:48Z","cross_cats_sorted":[],"title_canon_sha256":"ec15433cb4a1ebe48d429fc22e1e8412dc99f1c58150f0112fb155a49763606e","abstract_canon_sha256":"982611c9010c4b5119f40555983e0055374c0cb6586bb6c6caf698438972a5ed"},"schema_version":"1.0"},"canonical_sha256":"519dce6938f83cdaa5977a34b36cdd9118b110eb784189a2c3a77d894b5b70ee","source":{"kind":"arxiv","id":"2507.21499","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.21499","created_at":"2026-07-05T11:45:01Z"},{"alias_kind":"arxiv_version","alias_value":"2507.21499v1","created_at":"2026-07-05T11:45:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.21499","created_at":"2026-07-05T11:45:01Z"},{"alias_kind":"pith_short_12","alias_value":"KGO442JY7A6N","created_at":"2026-07-05T11:45:01Z"},{"alias_kind":"pith_short_16","alias_value":"KGO442JY7A6NVJMX","created_at":"2026-07-05T11:45:01Z"},{"alias_kind":"pith_short_8","alias_value":"KGO442JY","created_at":"2026-07-05T11:45:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KGO442JY7A6NVJMXPI2LG3G5SE","target":"record","payload":{"canonical_record":{"source":{"id":"2507.21499","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-07-29T04:46:48Z","cross_cats_sorted":[],"title_canon_sha256":"ec15433cb4a1ebe48d429fc22e1e8412dc99f1c58150f0112fb155a49763606e","abstract_canon_sha256":"982611c9010c4b5119f40555983e0055374c0cb6586bb6c6caf698438972a5ed"},"schema_version":"1.0"},"canonical_sha256":"519dce6938f83cdaa5977a34b36cdd9118b110eb784189a2c3a77d894b5b70ee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:45:01.234406Z","signature_b64":"T45/Vf6kN2bLGMnZzXEVBGiKLACtVNtXPmeid+IKgYBO+t46oAEVmmjq/g7kTQpPLkUIb23+GtUPby3P9nZ/Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"519dce6938f83cdaa5977a34b36cdd9118b110eb784189a2c3a77d894b5b70ee","last_reissued_at":"2026-07-05T11:45:01.233984Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:45:01.233984Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.21499","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:45:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o3/3eMLGiAHb8MQcMNFKWG0okV1hWVsz3gngvYT3bDUgR1H/9v1x6GsjSUhKp/fiZpOXwaiJVYyUvwuW9DHWCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:49:48.673854Z"},"content_sha256":"c528dd87f5a79f3eaa7c3ef5531448b9713ab14bbf0c0b8c010cadbd5c17cb89","schema_version":"1.0","event_id":"sha256:c528dd87f5a79f3eaa7c3ef5531448b9713ab14bbf0c0b8c010cadbd5c17cb89"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KGO442JY7A6NVJMXPI2LG3G5SE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AR","authors_text":"Jie Jiang, Jieru Zhao, Jingwen Leng, Minyi Guo, Xingyang Li, Yiming Gan, Yu Feng, Zihan Liu","submitted_at":"2025-07-29T04:46:48Z","abstract_excerpt":"Rendering is critical in fields like 3D modeling, AR/VR, and autonomous driving, where high-quality, real-time output is essential. Point-based neural rendering (PBNR) offers a photorealistic and efficient alternative to conventional methods, yet it is still challenging to achieve real-time rendering on mobile platforms. We pinpoint two major bottlenecks in PBNR pipelines: LoD search and splatting. LoD search suffers from workload imbalance and irregular memory access, making it inefficient on off-the-shelf GPUs. Meanwhile, splatting introduces severe warp divergence across GPU threads due to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.21499","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/2507.21499/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:45:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7VAHbHX+BIRi1wwXbAHiPqcBuD4fgMfgM4hvRBACeuAdgGp9vKj9OWSgU1zHnZl3K7XrJ0pccs0D6xLwdefXCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:49:48.675511Z"},"content_sha256":"09d4845d2897e622156feaf840de45e62403d04c0ef3486e35b0e7c108cf194c","schema_version":"1.0","event_id":"sha256:09d4845d2897e622156feaf840de45e62403d04c0ef3486e35b0e7c108cf194c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KGO442JY7A6NVJMXPI2LG3G5SE/bundle.json","state_url":"https://pith.science/pith/KGO442JY7A6NVJMXPI2LG3G5SE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KGO442JY7A6NVJMXPI2LG3G5SE/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T21:49:48Z","links":{"resolver":"https://pith.science/pith/KGO442JY7A6NVJMXPI2LG3G5SE","bundle":"https://pith.science/pith/KGO442JY7A6NVJMXPI2LG3G5SE/bundle.json","state":"https://pith.science/pith/KGO442JY7A6NVJMXPI2LG3G5SE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KGO442JY7A6NVJMXPI2LG3G5SE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KGO442JY7A6NVJMXPI2LG3G5SE","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":"982611c9010c4b5119f40555983e0055374c0cb6586bb6c6caf698438972a5ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-07-29T04:46:48Z","title_canon_sha256":"ec15433cb4a1ebe48d429fc22e1e8412dc99f1c58150f0112fb155a49763606e"},"schema_version":"1.0","source":{"id":"2507.21499","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.21499","created_at":"2026-07-05T11:45:01Z"},{"alias_kind":"arxiv_version","alias_value":"2507.21499v1","created_at":"2026-07-05T11:45:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.21499","created_at":"2026-07-05T11:45:01Z"},{"alias_kind":"pith_short_12","alias_value":"KGO442JY7A6N","created_at":"2026-07-05T11:45:01Z"},{"alias_kind":"pith_short_16","alias_value":"KGO442JY7A6NVJMX","created_at":"2026-07-05T11:45:01Z"},{"alias_kind":"pith_short_8","alias_value":"KGO442JY","created_at":"2026-07-05T11:45:01Z"}],"graph_snapshots":[{"event_id":"sha256:09d4845d2897e622156feaf840de45e62403d04c0ef3486e35b0e7c108cf194c","target":"graph","created_at":"2026-07-05T11:45:01Z","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/2507.21499/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Rendering is critical in fields like 3D modeling, AR/VR, and autonomous driving, where high-quality, real-time output is essential. Point-based neural rendering (PBNR) offers a photorealistic and efficient alternative to conventional methods, yet it is still challenging to achieve real-time rendering on mobile platforms. We pinpoint two major bottlenecks in PBNR pipelines: LoD search and splatting. LoD search suffers from workload imbalance and irregular memory access, making it inefficient on off-the-shelf GPUs. Meanwhile, splatting introduces severe warp divergence across GPU threads due to ","authors_text":"Jie Jiang, Jieru Zhao, Jingwen Leng, Minyi Guo, Xingyang Li, Yiming Gan, Yu Feng, Zihan Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-07-29T04:46:48Z","title":"SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.21499","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:c528dd87f5a79f3eaa7c3ef5531448b9713ab14bbf0c0b8c010cadbd5c17cb89","target":"record","created_at":"2026-07-05T11:45:01Z","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":"982611c9010c4b5119f40555983e0055374c0cb6586bb6c6caf698438972a5ed","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2025-07-29T04:46:48Z","title_canon_sha256":"ec15433cb4a1ebe48d429fc22e1e8412dc99f1c58150f0112fb155a49763606e"},"schema_version":"1.0","source":{"id":"2507.21499","kind":"arxiv","version":1}},"canonical_sha256":"519dce6938f83cdaa5977a34b36cdd9118b110eb784189a2c3a77d894b5b70ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"519dce6938f83cdaa5977a34b36cdd9118b110eb784189a2c3a77d894b5b70ee","first_computed_at":"2026-07-05T11:45:01.233984Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:45:01.233984Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T45/Vf6kN2bLGMnZzXEVBGiKLACtVNtXPmeid+IKgYBO+t46oAEVmmjq/g7kTQpPLkUIb23+GtUPby3P9nZ/Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:45:01.234406Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.21499","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c528dd87f5a79f3eaa7c3ef5531448b9713ab14bbf0c0b8c010cadbd5c17cb89","sha256:09d4845d2897e622156feaf840de45e62403d04c0ef3486e35b0e7c108cf194c"],"state_sha256":"9d03ea647c577f1091b1caaa41008d21e3aaff9e9f28c0ed6317152da5c0ecb3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cFKdndn7yixCobfWS70DVlnbZ1AcI6H29468JSwXTw2JuGyzSzN20Io2UnEuHvJRW/xavnwK9t9kwf0hA3S/Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T21:49:48.683120Z","bundle_sha256":"a84377b09b63c4abafc8a09db188827af69097e5abee4cc911aecfa281a921a1"}}