{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ATPIYHHUCOPBC4ENFB2BXYKSVN","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":"b9068d2642ad67176a3f66410bc830df0f5c046a8c08eb09f6522a92ba6a5d7c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-14T08:00:35Z","title_canon_sha256":"8c2c859ac607c64bf0a725aacccb6a4fc47f6df05d050a1d0dd4f677a3b32ef4"},"schema_version":"1.0","source":{"id":"2007.06888","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.06888","created_at":"2026-07-05T03:01:33Z"},{"alias_kind":"arxiv_version","alias_value":"2007.06888v1","created_at":"2026-07-05T03:01:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.06888","created_at":"2026-07-05T03:01:33Z"},{"alias_kind":"pith_short_12","alias_value":"ATPIYHHUCOPB","created_at":"2026-07-05T03:01:33Z"},{"alias_kind":"pith_short_16","alias_value":"ATPIYHHUCOPBC4EN","created_at":"2026-07-05T03:01:33Z"},{"alias_kind":"pith_short_8","alias_value":"ATPIYHHU","created_at":"2026-07-05T03:01:33Z"}],"graph_snapshots":[{"event_id":"sha256:031fa6381409480e631237b7dd1b02035bcfa1330c6606d508f5fcf0f7bae7f5","target":"graph","created_at":"2026-07-05T03:01:33Z","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/2007.06888/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic segmentation and semantic edge detection can be seen as two dual problems with close relationships in computer vision. Despite the fast evolution of learning-based 3D semantic segmentation methods, little attention has been drawn to the learning of 3D semantic edge detectors, even less to a joint learning method for the two tasks. In this paper, we tackle the 3D semantic edge detection task for the first time and present a new two-stream fully-convolutional network that jointly performs the two tasks. In particular, we design a joint refinement module that explicitly wires region info","authors_text":"Chiew-Lan Tai, Hongbo Fu, Mingmin Zhen, Xuyang Bai, Zeyu Hu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-14T08:00:35Z","title":"JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.06888","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:b078cd45f8e0cd02d52184b164aaf3b90ec17c12717e3088d4a18cd67f6a5669","target":"record","created_at":"2026-07-05T03:01:33Z","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":"b9068d2642ad67176a3f66410bc830df0f5c046a8c08eb09f6522a92ba6a5d7c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-14T08:00:35Z","title_canon_sha256":"8c2c859ac607c64bf0a725aacccb6a4fc47f6df05d050a1d0dd4f677a3b32ef4"},"schema_version":"1.0","source":{"id":"2007.06888","kind":"arxiv","version":1}},"canonical_sha256":"04de8c1cf4139e11708d28741be152ab4520dffd6bf94ad07fb814569d4947be","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04de8c1cf4139e11708d28741be152ab4520dffd6bf94ad07fb814569d4947be","first_computed_at":"2026-07-05T03:01:33.361709Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:01:33.361709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2RYxVOmTJxSzIJt+nZWzTacL4rh3YhNrrCt1UZgWeX2D+Don/L1c8SO5WKwvsUe8UAzUIs7SkJLAekdUnYFbBA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:01:33.362158Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.06888","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b078cd45f8e0cd02d52184b164aaf3b90ec17c12717e3088d4a18cd67f6a5669","sha256:031fa6381409480e631237b7dd1b02035bcfa1330c6606d508f5fcf0f7bae7f5"],"state_sha256":"dc9b3ce72d623639d7876e435927c0ec236060435b5fa4418a36f6b89cb2d07e"}