{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5LBIWDRIXTVZ45UHMV6BGQAAA7","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":"8fe8e7d85ff1d893d51de0bcd28666cc408bca67fd24d77a612d773d3d1cdf67","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-06-23T05:01:51Z","title_canon_sha256":"d3281e2bd7f2ad2dcd934dc39f6174bdba79c9306184c96cf6c42b39f2c00db4"},"schema_version":"1.0","source":{"id":"2406.16012","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.16012","created_at":"2026-07-05T08:35:52Z"},{"alias_kind":"arxiv_version","alias_value":"2406.16012v1","created_at":"2026-07-05T08:35:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.16012","created_at":"2026-07-05T08:35:52Z"},{"alias_kind":"pith_short_12","alias_value":"5LBIWDRIXTVZ","created_at":"2026-07-05T08:35:52Z"},{"alias_kind":"pith_short_16","alias_value":"5LBIWDRIXTVZ45UH","created_at":"2026-07-05T08:35:52Z"},{"alias_kind":"pith_short_8","alias_value":"5LBIWDRI","created_at":"2026-07-05T08:35:52Z"}],"graph_snapshots":[{"event_id":"sha256:0fd8a2ac607d9a7267c13f8c5152c4470dff04948dfc3efdf7fddfa5fcc552b6","target":"graph","created_at":"2026-07-05T08:35:52Z","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/2406.16012/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Identifying individual tissues, so-called tissue segmentation, in diabetic foot ulcer (DFU) images is a challenging task and little work has been published, largely due to the limited availability of a clinical image dataset. To address this gap, we have created a DFUTissue dataset for the research community to evaluate wound tissue segmentation algorithms. The dataset contains 110 images with tissues labeled by wound experts and 600 unlabeled images. Additionally, we conducted a pilot study on segmenting wound characteristics including fibrin, granulation, and callus using deep learning. Due ","authors_text":"Chuanbo Wang, Jeffrey Niezgoda, Keke Chen, Mrinal Kanti Dhar, Sandeep Gopalakrishnan, Taiyu Zhang, Yash Patel, Zeyun Yu","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-06-23T05:01:51Z","title":"Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.16012","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:c15f09bc15f3b759eb1f322be949fa7276ed3748b6f34d90975af3fd8dfaf1ab","target":"record","created_at":"2026-07-05T08:35:52Z","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":"8fe8e7d85ff1d893d51de0bcd28666cc408bca67fd24d77a612d773d3d1cdf67","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-06-23T05:01:51Z","title_canon_sha256":"d3281e2bd7f2ad2dcd934dc39f6174bdba79c9306184c96cf6c42b39f2c00db4"},"schema_version":"1.0","source":{"id":"2406.16012","kind":"arxiv","version":1}},"canonical_sha256":"eac28b0e28bceb9e7687657c13400007f1249121faea9aa71d53baf02ad8e040","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eac28b0e28bceb9e7687657c13400007f1249121faea9aa71d53baf02ad8e040","first_computed_at":"2026-07-05T08:35:52.019952Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:35:52.019952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5YoWN8rX3DkfG6FEH3pzJEtzv6NvcfUoNXUCfLDsal+LLhgfMt8T/ykmJ8fY0W/FBe1R0P5jtDhtvqr0w3mnAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:35:52.020456Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.16012","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c15f09bc15f3b759eb1f322be949fa7276ed3748b6f34d90975af3fd8dfaf1ab","sha256:0fd8a2ac607d9a7267c13f8c5152c4470dff04948dfc3efdf7fddfa5fcc552b6"],"state_sha256":"b35cc0ec0abb36a596d95d74f5f64446f5f5f0dc9fc37642e8dd23298dc56737"}