{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BNGP72ISIJ6HE6XICC264HTVHW","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":"7e20eba95368c817ba948057a6d039123e776031cb66d21c882cd53ada5a8ed6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-05T02:54:23Z","title_canon_sha256":"6f9372ac326f02e1229aff8baec808a371ed65cd7cdf543b208c948b9abb1150"},"schema_version":"1.0","source":{"id":"2401.02610","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.02610","created_at":"2026-07-05T07:35:41Z"},{"alias_kind":"arxiv_version","alias_value":"2401.02610v2","created_at":"2026-07-05T07:35:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.02610","created_at":"2026-07-05T07:35:41Z"},{"alias_kind":"pith_short_12","alias_value":"BNGP72ISIJ6H","created_at":"2026-07-05T07:35:41Z"},{"alias_kind":"pith_short_16","alias_value":"BNGP72ISIJ6HE6XI","created_at":"2026-07-05T07:35:41Z"},{"alias_kind":"pith_short_8","alias_value":"BNGP72IS","created_at":"2026-07-05T07:35:41Z"}],"graph_snapshots":[{"event_id":"sha256:0d77bc6f939766e50e056368350cc2e3fc54ef7c81afe9bf1cfcb6b73c4c581e","target":"graph","created_at":"2026-07-05T07:35:41Z","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/2401.02610/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent works attempt to extend Graph Convolution Networks (GCNs) to point clouds for classification and segmentation tasks. These works tend to sample and group points to create smaller point sets locally and mainly focus on extracting local features through GCNs, while ignoring the relationship between point sets. In this paper, we propose the Dynamic Hop Graph Convolution Network (DHGCN) for explicitly learning the contextual relationships between the voxelized point parts, which are treated as graph nodes. Motivated by the intuition that the contextual information between point parts lies i","authors_text":"Imran Razzak, Jincen Jiang, Lizhi Zhao, Meili Wang, Wei Hu, Xuequan Lu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-05T02:54:23Z","title":"DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.02610","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":"sha256:1301a34fa6a5c163be272a136cb4e4c4146dbe5724d97cfd96401c20956ee41e","target":"record","created_at":"2026-07-05T07:35:41Z","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":"7e20eba95368c817ba948057a6d039123e776031cb66d21c882cd53ada5a8ed6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-05T02:54:23Z","title_canon_sha256":"6f9372ac326f02e1229aff8baec808a371ed65cd7cdf543b208c948b9abb1150"},"schema_version":"1.0","source":{"id":"2401.02610","kind":"arxiv","version":2}},"canonical_sha256":"0b4cffe912427c727ae810b5ee1e753da8c9b8bfdba7fc6e9663428b6966c047","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b4cffe912427c727ae810b5ee1e753da8c9b8bfdba7fc6e9663428b6966c047","first_computed_at":"2026-07-05T07:35:41.899838Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:35:41.899838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jjgYSb6kLvp6c//CPp5EHnHEDHElR/NMq8fFzQiHYuYMBEwYpCE+bR2S+ssySRCypICPrB8c02q9eFyX72YLAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:35:41.900303Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.02610","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1301a34fa6a5c163be272a136cb4e4c4146dbe5724d97cfd96401c20956ee41e","sha256:0d77bc6f939766e50e056368350cc2e3fc54ef7c81afe9bf1cfcb6b73c4c581e"],"state_sha256":"e0a3efd4fbe7d867886ac93bd0e0683dbd1d0876c2879c83ccf595bacf8bf784"}