{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:5TG4L6TJZTITVWR35XZLF7HVGK","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":"41799482a01e2a174e4633df6b8fbf049eebd8944e1b10692a1034c8ff9e42b8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-25T10:53:57Z","title_canon_sha256":"d36f95524356979f17c58fe321471ddef083feaeb0e9106420e4932f92e69547"},"schema_version":"1.0","source":{"id":"1901.08824","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.08824","created_at":"2026-05-17T23:55:33Z"},{"alias_kind":"arxiv_version","alias_value":"1901.08824v1","created_at":"2026-05-17T23:55:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.08824","created_at":"2026-05-17T23:55:33Z"},{"alias_kind":"pith_short_12","alias_value":"5TG4L6TJZTIT","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"5TG4L6TJZTITVWR3","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"5TG4L6TJ","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:30a88c833a5ffa8665b43e3dcdb2ba2a6971b83f3bb3a38dafa9c5ad66ab770d","target":"graph","created_at":"2026-05-17T23:55:33Z","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"},"paper":{"abstract_excerpt":"Recently, state-of-the-art results have been achieved in semantic segmentation using fully convolutional networks (FCNs). Most of these networks employ encoder-decoder style architecture similar to U-Net and are trained with images and the corresponding segmentation maps as a pixel-wise classification task. Such frameworks only exploit class information by using the ground truth segmentation maps. In this paper, we propose a multi-task learning framework with the main aim of exploiting structural and spatial information along with the class information. We modify the decoder part of the FCN to","authors_text":"Balamurali Murugesan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam, Sharath M Shankaranarayana","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-25T10:53:57Z","title":"Joint shape learning and segmentation for medical images using a minimalistic deep network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.08824","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":"sha256:8e1636e8667ed327332baad22e7e3d7c64b970d180ec25ebb51458fa4338e19c","target":"record","created_at":"2026-05-17T23:55:33Z","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":"41799482a01e2a174e4633df6b8fbf049eebd8944e1b10692a1034c8ff9e42b8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-25T10:53:57Z","title_canon_sha256":"d36f95524356979f17c58fe321471ddef083feaeb0e9106420e4932f92e69547"},"schema_version":"1.0","source":{"id":"1901.08824","kind":"arxiv","version":1}},"canonical_sha256":"eccdc5fa69ccd13ada3bedf2b2fcf532b9b458d64787f9f76718e79833bb7625","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eccdc5fa69ccd13ada3bedf2b2fcf532b9b458d64787f9f76718e79833bb7625","first_computed_at":"2026-05-17T23:55:33.005394Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:55:33.005394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k/qYcLjaG2E/dn1KZqBdX+PPoH9Omz3mdafAzaFzQDW/9Hc7rHBvcq8f7T72XntSlLShahJRFodto7ysS+DbBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:55:33.006100Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.08824","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8e1636e8667ed327332baad22e7e3d7c64b970d180ec25ebb51458fa4338e19c","sha256:30a88c833a5ffa8665b43e3dcdb2ba2a6971b83f3bb3a38dafa9c5ad66ab770d"],"state_sha256":"e97fa4dd2bd7264b4ec095c32172cf291e96cde3e5aa340ff188858c2864a483"}