{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6INUTKP5TVSCKOFNCEHPF2ZEIN","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":"02dd577fd0107c55259b844c6db6f0a32ab7a7ad007d7b9abf1f784f900e52f5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T10:35:32Z","title_canon_sha256":"3a4eb7cd81c1189d7d16ea1ef3064e1daea7945fe047f4056a8679ab66b6c76b"},"schema_version":"1.0","source":{"id":"2303.09212","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.09212","created_at":"2026-07-05T05:51:50Z"},{"alias_kind":"arxiv_version","alias_value":"2303.09212v1","created_at":"2026-07-05T05:51:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.09212","created_at":"2026-07-05T05:51:50Z"},{"alias_kind":"pith_short_12","alias_value":"6INUTKP5TVSC","created_at":"2026-07-05T05:51:50Z"},{"alias_kind":"pith_short_16","alias_value":"6INUTKP5TVSCKOFN","created_at":"2026-07-05T05:51:50Z"},{"alias_kind":"pith_short_8","alias_value":"6INUTKP5","created_at":"2026-07-05T05:51:50Z"}],"graph_snapshots":[{"event_id":"sha256:944f2c3b8896ba72bc8d7c8f4ee9054646fb485371b36dad1e0d6e61d4232b1e","target":"graph","created_at":"2026-07-05T05:51:50Z","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/2303.09212/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Airway segmentation, especially bronchioles segmentation, is an important but challenging task because distal bronchus are sparsely distributed and of a fine scale. Existing neural networks usually exploit sparse topology to learn the connectivity of bronchioles and inefficient shallow features to capture such high-frequency information, leading to the breakage or missed detection of individual thin branches. To address these problems, we contribute a new bronchial segmentation method based on Group Deep Dense Supervision (GDDS) that emphasizes fine-scale bronchioles segmentation in a simple-b","authors_text":"Li Fan, Mingyue Zhao, Quan Quan, Shang Zhao, Shiyuan Liu, S.Kevin Zhou, Xiaolan Qiu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T10:35:32Z","title":"GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.09212","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:c4c468b124a05bbf86445ff24c3e4c6ca8d993d414dce03be86ef58f5e90d095","target":"record","created_at":"2026-07-05T05:51:50Z","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":"02dd577fd0107c55259b844c6db6f0a32ab7a7ad007d7b9abf1f784f900e52f5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-16T10:35:32Z","title_canon_sha256":"3a4eb7cd81c1189d7d16ea1ef3064e1daea7945fe047f4056a8679ab66b6c76b"},"schema_version":"1.0","source":{"id":"2303.09212","kind":"arxiv","version":1}},"canonical_sha256":"f21b49a9fd9d642538ad110ef2eb2443403f8a62e036bf5e67d520d8ecb1a013","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f21b49a9fd9d642538ad110ef2eb2443403f8a62e036bf5e67d520d8ecb1a013","first_computed_at":"2026-07-05T05:51:50.234847Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:51:50.234847Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TlUfkRSL9f+Rxpw1jvRHoV392e5AqJfq66RpGyYQXzN5SGyz6TOj4yIWgmHUUidrfvZDL2cTweAfAWIPSNrzAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:51:50.235248Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.09212","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4c468b124a05bbf86445ff24c3e4c6ca8d993d414dce03be86ef58f5e90d095","sha256:944f2c3b8896ba72bc8d7c8f4ee9054646fb485371b36dad1e0d6e61d4232b1e"],"state_sha256":"315ec7416167d55f5a803eca5fa5213280e434778055aa739902045a01f2128a"}