{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GABHWN4ZF4227YS6K3ZPVVI6IO","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":"a9b26f04977946043c754b3114c82e3c5cab6bd080f04c5e68dac85d7eef7d8b","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-07-14T13:17:46Z","title_canon_sha256":"3e7c123c9ab8c12d5f8ebdc885905332345001865e55599c251d35324f69093c"},"schema_version":"1.0","source":{"id":"2507.10250","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.10250","created_at":"2026-07-05T11:36:47Z"},{"alias_kind":"arxiv_version","alias_value":"2507.10250v1","created_at":"2026-07-05T11:36:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.10250","created_at":"2026-07-05T11:36:47Z"},{"alias_kind":"pith_short_12","alias_value":"GABHWN4ZF422","created_at":"2026-07-05T11:36:47Z"},{"alias_kind":"pith_short_16","alias_value":"GABHWN4ZF4227YS6","created_at":"2026-07-05T11:36:47Z"},{"alias_kind":"pith_short_8","alias_value":"GABHWN4Z","created_at":"2026-07-05T11:36:47Z"}],"graph_snapshots":[{"event_id":"sha256:cfeedc3f2a9468b2ee6b4c7ac61c7e5dde77069b3ba6442ced1de931eb170128","target":"graph","created_at":"2026-07-05T11:36:47Z","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/2507.10250/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate and timely cancer diagnosis from histopathological slides is vital for effective clinical decision-making. This paper introduces DepViT-CAD, a deployable AI system for multi-class cancer diagnosis in histopathology. At its core is MAViT, a novel Multi-Attention Vision Transformer designed to capture fine-grained morphological patterns across diverse tumor types. MAViT was trained on expert-annotated patches from 1008 whole-slide images, covering 11 diagnostic categories, including 10 major cancers and non-tumor tissue. DepViT-CAD was validated on two independent cohorts: 275 WSIs from","authors_text":"Angelo Paolo Dei Tos, Ashkan Shakarami, Lorenzo Nicole, Rocco Cappellesso, Stefano Ghidoni","cross_cats":["cs.AI","cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-07-14T13:17:46Z","title":"DepViT-CAD: Deployable Vision Transformer-Based Cancer Diagnosis in Histopathology"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.10250","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":"sha256:5ad45fe8f07751b6fb234351f83bc5ced197b322cf4ae4f80fffabcd76f4fdb5","target":"record","created_at":"2026-07-05T11:36:47Z","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":"a9b26f04977946043c754b3114c82e3c5cab6bd080f04c5e68dac85d7eef7d8b","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-07-14T13:17:46Z","title_canon_sha256":"3e7c123c9ab8c12d5f8ebdc885905332345001865e55599c251d35324f69093c"},"schema_version":"1.0","source":{"id":"2507.10250","kind":"arxiv","version":1}},"canonical_sha256":"30027b37992f35afe25e56f2fad51e43ada1b0ffd60cabb6796098ff717b1a71","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30027b37992f35afe25e56f2fad51e43ada1b0ffd60cabb6796098ff717b1a71","first_computed_at":"2026-07-05T11:36:47.832994Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:36:47.832994Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AmMXUjsz/7ect0rAQzUIr/PgcDlXwoXchScK0qQ3wPImQC4H/sansyuBaoWmrWfvEXp9pMN247YX1st5pf6nBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:36:47.833560Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.10250","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5ad45fe8f07751b6fb234351f83bc5ced197b322cf4ae4f80fffabcd76f4fdb5","sha256:cfeedc3f2a9468b2ee6b4c7ac61c7e5dde77069b3ba6442ced1de931eb170128"],"state_sha256":"620740cf8325fa8dff5ffcc497783cb0b2579916f78d6291e9f0cc88bd4e3d99"}