{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:CW4DQJISFN3SEY6ERDRPTISWMQ","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":"c38757b784c4498a345334d15f7048e5c8b079d2ecc471373827596c48f53a64","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-27T18:37:50Z","title_canon_sha256":"0564dd98cd6665d70723b693d82ee44137629ec3a35e89a2ac771fc42a4c2b8d"},"schema_version":"1.0","source":{"id":"1711.09869","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.09869","created_at":"2026-05-18T00:19:56Z"},{"alias_kind":"arxiv_version","alias_value":"1711.09869v2","created_at":"2026-05-18T00:19:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09869","created_at":"2026-05-18T00:19:56Z"},{"alias_kind":"pith_short_12","alias_value":"CW4DQJISFN3S","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CW4DQJISFN3SEY6E","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CW4DQJIS","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:c0e345ee947a9ca14762a5e4566b66a935e2c05de75bd2c93b1a8edd93fada17","target":"graph","created_at":"2026-05-18T00:19:56Z","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"},"paper":{"abstract_excerpt":"We propose a novel deep learning-based framework to tackle the challenge of semantic segmentation of large-scale point clouds of millions of points. We argue that the organization of 3D point clouds can be efficiently captured by a structure called superpoint graph (SPG), derived from a partition of the scanned scene into geometrically homogeneous elements. SPGs offer a compact yet rich representation of contextual relationships between object parts, which is then exploited by a graph convolutional network. Our framework sets a new state of the art for segmenting outdoor LiDAR scans (+11.9 and","authors_text":"Loic Landrieu, Martin Simonovsky","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-27T18:37:50Z","title":"Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09869","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:a930e8dcee28a89e12c4e7f3a20d8331bdf611371bbc76bff3da2e1ebdd5c534","target":"record","created_at":"2026-05-18T00:19:56Z","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":"c38757b784c4498a345334d15f7048e5c8b079d2ecc471373827596c48f53a64","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-27T18:37:50Z","title_canon_sha256":"0564dd98cd6665d70723b693d82ee44137629ec3a35e89a2ac771fc42a4c2b8d"},"schema_version":"1.0","source":{"id":"1711.09869","kind":"arxiv","version":2}},"canonical_sha256":"15b83825122b772263c488e2f9a256642910bebe2c71164f3447d876f5a9edc3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15b83825122b772263c488e2f9a256642910bebe2c71164f3447d876f5a9edc3","first_computed_at":"2026-05-18T00:19:56.721690Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:56.721690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lvX+N0fbqwbLeGW6bNPPQRRtlB6iQmdJu3vfjnpSUKKuuXoC4C69sghMY3Fy3080FDSZxto9MXcaoWf5rfCtBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:56.722368Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.09869","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a930e8dcee28a89e12c4e7f3a20d8331bdf611371bbc76bff3da2e1ebdd5c534","sha256:c0e345ee947a9ca14762a5e4566b66a935e2c05de75bd2c93b1a8edd93fada17"],"state_sha256":"d70b8a93a74cd490a57d2070cd5c737abf6f8a7b5004333ef052e17ef60bbae7"}