{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:G2GAZKBGIXLCXJTLADI23ETWMX","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":"e5315df1b27b4d432b23bb7c9fc9f3988d97c0804aec0194614ad1b8047b8931","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-18T18:40:21Z","title_canon_sha256":"f452061a65389c6669db050785bef4fab7a1752967e6204850a2d3ea6134b166"},"schema_version":"1.0","source":{"id":"1612.05970","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.05970","created_at":"2026-05-18T00:42:39Z"},{"alias_kind":"arxiv_version","alias_value":"1612.05970v2","created_at":"2026-05-18T00:42:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.05970","created_at":"2026-05-18T00:42:39Z"},{"alias_kind":"pith_short_12","alias_value":"G2GAZKBGIXLC","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"G2GAZKBGIXLCXJTL","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"G2GAZKBG","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:d349530700e258d10f3a896791e87d4e6ddfbddab88979bac8e0888bf48c9c54","target":"graph","created_at":"2026-05-18T00:42:39Z","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":"Mass segmentation is an important task in mammogram analysis, providing effective morphological features and regions of interest (ROI) for mass detection and classification. Inspired by the success of using deep convolutional features for natural image analysis and conditional random fields (CRF) for structural learning, we propose an end-to-end network for mammographic mass segmentation. The network employs a fully convolutional network (FCN) to model potential function, followed by a CRF to perform structural learning. Because the mass distribution varies greatly with pixel position, the FCN","authors_text":"Trac D. Tran, Wentao Zhu, Xiang Xiang, Xiaohui Xie","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-18T18:40:21Z","title":"Adversarial Deep Structural Networks for Mammographic Mass Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.05970","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":"sha256:8bbdabeb18b5092bbbd81842bf82404932064c9dcdec4d14b6318225ecdb16fe","target":"record","created_at":"2026-05-18T00:42:39Z","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":"e5315df1b27b4d432b23bb7c9fc9f3988d97c0804aec0194614ad1b8047b8931","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-12-18T18:40:21Z","title_canon_sha256":"f452061a65389c6669db050785bef4fab7a1752967e6204850a2d3ea6134b166"},"schema_version":"1.0","source":{"id":"1612.05970","kind":"arxiv","version":2}},"canonical_sha256":"368c0ca82645d62ba66b00d1ad927665cf15aca62b768bf67a8ecefd7b420149","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"368c0ca82645d62ba66b00d1ad927665cf15aca62b768bf67a8ecefd7b420149","first_computed_at":"2026-05-18T00:42:39.171478Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:39.171478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XPtxRl4b0wxwdm/C5W0USNuvuT5wh63rTCyuyYNW/5coomHjH0fxQPdxIFllx1uEvRcitEnYg3JZa+qg9A3vBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:39.171980Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.05970","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8bbdabeb18b5092bbbd81842bf82404932064c9dcdec4d14b6318225ecdb16fe","sha256:d349530700e258d10f3a896791e87d4e6ddfbddab88979bac8e0888bf48c9c54"],"state_sha256":"ec6a332b7b62feb0a195b2a144641647cf9dd9d50f18e47aaf6a8b9d5023c0b2"}