{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:DPVCQ7G4VPDE6254YLNREWIQXL","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":"26b8b854a76fcfddf150eac9b2e71410afe053fd44a9cfc7e30343da33edbf36","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-11T11:45:39Z","title_canon_sha256":"c29289307c18de14ce7da461600a761f524b341ed36fbf86ec1d8473f1d32275"},"schema_version":"1.0","source":{"id":"2012.06257","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.06257","created_at":"2026-07-05T04:41:09Z"},{"alias_kind":"arxiv_version","alias_value":"2012.06257v3","created_at":"2026-07-05T04:41:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.06257","created_at":"2026-07-05T04:41:09Z"},{"alias_kind":"pith_short_12","alias_value":"DPVCQ7G4VPDE","created_at":"2026-07-05T04:41:09Z"},{"alias_kind":"pith_short_16","alias_value":"DPVCQ7G4VPDE6254","created_at":"2026-07-05T04:41:09Z"},{"alias_kind":"pith_short_8","alias_value":"DPVCQ7G4","created_at":"2026-07-05T04:41:09Z"}],"graph_snapshots":[{"event_id":"sha256:57e3610802c379034efc485a2b27acf53fa711e147d6cbd9d9b4b18edbae596a","target":"graph","created_at":"2026-07-05T04:41:09Z","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/2012.06257/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel attention-based mechanism to learn enhanced point features for point cloud processing tasks, e.g., classification and segmentation. Unlike prior works, which were trained to optimize the weights of a pre-selected set of attention points, our approach learns to locate the best attention points to maximize the performance of a specific task, e.g., point cloud classification. Importantly, we advocate the use of single attention point to facilitate semantic understanding in point feature learning. Specifically, we formulate a new and simple convolution, which combines convolutio","authors_text":"Chi-Wing Fu, Hao Zhang, Hui Huang, Kai Xu, Liqiang Lin, Pengdi Huang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-11T11:45:39Z","title":"On Learning the Right Attention Point for Feature Enhancement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.06257","kind":"arxiv","version":3},"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:d2550ee052518b19d4baade762055af538869abd7028c15eb3ae2f72b5ce3b83","target":"record","created_at":"2026-07-05T04:41:09Z","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":"26b8b854a76fcfddf150eac9b2e71410afe053fd44a9cfc7e30343da33edbf36","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-11T11:45:39Z","title_canon_sha256":"c29289307c18de14ce7da461600a761f524b341ed36fbf86ec1d8473f1d32275"},"schema_version":"1.0","source":{"id":"2012.06257","kind":"arxiv","version":3}},"canonical_sha256":"1bea287cdcabc64f6bbcc2db125910bac78c9285f72af6b51ee31db778f8f206","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1bea287cdcabc64f6bbcc2db125910bac78c9285f72af6b51ee31db778f8f206","first_computed_at":"2026-07-05T04:41:09.165277Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:41:09.165277Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vCXBzvd5cOd6C33m4jJ19/sOkhuS4/vllGN/K4SnpUUf0Wp6csQ4KsUxZrBUcUrkMSEh7oXP2N7jnjFVeYQ+CA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:41:09.165775Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.06257","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d2550ee052518b19d4baade762055af538869abd7028c15eb3ae2f72b5ce3b83","sha256:57e3610802c379034efc485a2b27acf53fa711e147d6cbd9d9b4b18edbae596a"],"state_sha256":"23353081fd61464192ac7f5b2993fa2f78f06a15f65978de1fd54d42655a20c8"}