{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AIOWUMYJDWKNWJ6MPXN5ZWM2X3","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":"c9f2fbea967426d69c2c66a0891083f9b8e2397335619de21f898827ca4f1f01","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-01T02:29:59Z","title_canon_sha256":"9c1a6d74dac9c6894170e2d716b2d994560638b757cc20005481a05810d50bec"},"schema_version":"1.0","source":{"id":"2401.00912","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00912","created_at":"2026-07-05T08:45:24Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00912v2","created_at":"2026-07-05T08:45:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00912","created_at":"2026-07-05T08:45:24Z"},{"alias_kind":"pith_short_12","alias_value":"AIOWUMYJDWKN","created_at":"2026-07-05T08:45:24Z"},{"alias_kind":"pith_short_16","alias_value":"AIOWUMYJDWKNWJ6M","created_at":"2026-07-05T08:45:24Z"},{"alias_kind":"pith_short_8","alias_value":"AIOWUMYJ","created_at":"2026-07-05T08:45:24Z"}],"graph_snapshots":[{"event_id":"sha256:873faf7b79c43803e44ff7d3e299d2f0cd7d2c40c05fdab13d35479179845a24","target":"graph","created_at":"2026-07-05T08:45:24Z","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/2401.00912/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Window-based transformers excel in large-scale point cloud understanding by capturing context-aware representations with affordable attention computation in a more localized manner. However, the sparse nature of point clouds leads to a significant variance in the number of voxels per window. Existing methods group the voxels in each window into fixed-length sequences through extensive sorting and padding operations, resulting in a non-negligible computational and memory overhead. In this paper, we introduce ScatterFormer, which to the best of our knowledge, is the first to directly apply atten","authors_text":"Chenhang He, Guowen Zhang, Lei Zhang, Ruihuang Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-01T02:29:59Z","title":"ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00912","kind":"arxiv","version":2},"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":"sha256:406c3513fb4f2c0a4893fb721e89c12083951fde5d2ef54ed904df8a04800bb1","target":"record","created_at":"2026-07-05T08:45:24Z","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":"c9f2fbea967426d69c2c66a0891083f9b8e2397335619de21f898827ca4f1f01","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-01T02:29:59Z","title_canon_sha256":"9c1a6d74dac9c6894170e2d716b2d994560638b757cc20005481a05810d50bec"},"schema_version":"1.0","source":{"id":"2401.00912","kind":"arxiv","version":2}},"canonical_sha256":"021d6a33091d94db27cc7ddbdcd99abecf455dcd20beea7d464dae1b40f9585b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"021d6a33091d94db27cc7ddbdcd99abecf455dcd20beea7d464dae1b40f9585b","first_computed_at":"2026-07-05T08:45:24.413801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:45:24.413801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rLi5x9TkxDRc4tT8k32rZtZzu19IxzqhYu9VD9Wyfz/GmnjyNK5bGH+hpZWrCH4ODj58JcgSGDb72RvbRKloCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:45:24.414209Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.00912","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:406c3513fb4f2c0a4893fb721e89c12083951fde5d2ef54ed904df8a04800bb1","sha256:873faf7b79c43803e44ff7d3e299d2f0cd7d2c40c05fdab13d35479179845a24"],"state_sha256":"f8a3717a7e704a31f240afa9961cb7eb256cd8e8ba48869cc4b3b477c40a5e99"}