{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:JKZVWOFIR7ITIJ3SJPYNZRFYWR","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":"e7b94cd7a0da860cce8b088a9a2268e6fb5bc49d7db527e75c8875416ae8c4fa","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-08-26T18:46:43Z","title_canon_sha256":"1f42f585b3145f86ca746cbc8f544f35cdae0b94758429060f1da50e6edcae27"},"schema_version":"1.0","source":{"id":"2108.11993","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.11993","created_at":"2026-07-05T03:16:33Z"},{"alias_kind":"arxiv_version","alias_value":"2108.11993v2","created_at":"2026-07-05T03:16:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.11993","created_at":"2026-07-05T03:16:33Z"},{"alias_kind":"pith_short_12","alias_value":"JKZVWOFIR7IT","created_at":"2026-07-05T03:16:33Z"},{"alias_kind":"pith_short_16","alias_value":"JKZVWOFIR7ITIJ3S","created_at":"2026-07-05T03:16:33Z"},{"alias_kind":"pith_short_8","alias_value":"JKZVWOFI","created_at":"2026-07-05T03:16:33Z"}],"graph_snapshots":[{"event_id":"sha256:9264bf3fc82d55146c58bac7bb3999212a1629411117e43dc7c35c227859ab3f","target":"graph","created_at":"2026-07-05T03:16:33Z","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/2108.11993/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Histopathology has played an essential role in cancer diagnosis. With the rapid advances in convolutional neural networks (CNN). Various CNN-based automated pathological image segmentation approaches have been developed in computer-assisted pathological image analysis. In the past few years, Transformer neural networks (Transformer) have shown the unique merit of capturing the global long-distance dependencies across the entire image as a new deep learning paradigm. Such merit is appealing for exploring spatially heterogeneous pathological images. However, there have been very few, if any, stu","authors_text":"Cam Nguyen, Yuankai Huo, Zuhayr Asad","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-08-26T18:46:43Z","title":"Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.11993","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":"sha256:692e2d303ee2b34f69387c945fe0978cedbea7cc39d74f5856785120788ade14","target":"record","created_at":"2026-07-05T03:16:33Z","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":"e7b94cd7a0da860cce8b088a9a2268e6fb5bc49d7db527e75c8875416ae8c4fa","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-08-26T18:46:43Z","title_canon_sha256":"1f42f585b3145f86ca746cbc8f544f35cdae0b94758429060f1da50e6edcae27"},"schema_version":"1.0","source":{"id":"2108.11993","kind":"arxiv","version":2}},"canonical_sha256":"4ab35b38a88fd13427724bf0dcc4b8b475289ae343ca8ecd91609a40cd466c72","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ab35b38a88fd13427724bf0dcc4b8b475289ae343ca8ecd91609a40cd466c72","first_computed_at":"2026-07-05T03:16:33.891452Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:16:33.891452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7fZIkkUuei2tcaQGOt+exTkJEbujeaD9RAEWL7WnYRY0r44vFdcaC24IASYL3/Dxj/UaTjLi7d8j7aJBy0P+Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T03:16:33.891865Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.11993","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:692e2d303ee2b34f69387c945fe0978cedbea7cc39d74f5856785120788ade14","sha256:9264bf3fc82d55146c58bac7bb3999212a1629411117e43dc7c35c227859ab3f"],"state_sha256":"4644b34ec3205c135b3b4de06b9684103a375749cae19bf2eaecd02c7b54881e"}