{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WCJ5BD23N3FOSKIPBNDHL2IIOG","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":"0dee4d681119223f684b6e572707a6479d2c5bdb71521dd83d80e3ca6c8294ac","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-09T14:26:50Z","title_canon_sha256":"c84d96c3baa0aed18d7ee0452fa334a51cdcea29130e315d3e090b4b530c1d34"},"schema_version":"1.0","source":{"id":"2501.05269","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.05269","created_at":"2026-07-05T09:59:07Z"},{"alias_kind":"arxiv_version","alias_value":"2501.05269v1","created_at":"2026-07-05T09:59:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.05269","created_at":"2026-07-05T09:59:07Z"},{"alias_kind":"pith_short_12","alias_value":"WCJ5BD23N3FO","created_at":"2026-07-05T09:59:07Z"},{"alias_kind":"pith_short_16","alias_value":"WCJ5BD23N3FOSKIP","created_at":"2026-07-05T09:59:07Z"},{"alias_kind":"pith_short_8","alias_value":"WCJ5BD23","created_at":"2026-07-05T09:59:07Z"}],"graph_snapshots":[{"event_id":"sha256:8fdbe100cc690d4bd292c1862e3643c6df32789cfc704e710fb5fcc24934ac73","target":"graph","created_at":"2026-07-05T09:59:07Z","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/2501.05269/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Digital Pathology is a cornerstone in the diagnosis and treatment of diseases. A key task in this field is the identification and segmentation of cells in hematoxylin and eosin-stained images. Existing methods for cell segmentation often require extensive annotated datasets for training and are limited to a predefined cell classification scheme. To overcome these limitations, we propose $\\text{CellViT}^{{\\scriptscriptstyle ++}}$, a framework for generalized cell segmentation in digital pathology. $\\text{CellViT}^{{\\scriptscriptstyle ++}}$ utilizes Vision Transformers with foundation models as ","authors_text":"Fabian H\\\"orst, Helmut Becker, Jens Kleesiek, Julius Keyl, Lukas Heine, Moritz Rempe","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-09T14:26:50Z","title":"CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.05269","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":"sha256:5f3f630d9a40f8710a43a4a43d61255367d28005245e1047e373279d51f87311","target":"record","created_at":"2026-07-05T09:59:07Z","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":"0dee4d681119223f684b6e572707a6479d2c5bdb71521dd83d80e3ca6c8294ac","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-09T14:26:50Z","title_canon_sha256":"c84d96c3baa0aed18d7ee0452fa334a51cdcea29130e315d3e090b4b530c1d34"},"schema_version":"1.0","source":{"id":"2501.05269","kind":"arxiv","version":1}},"canonical_sha256":"b093d08f5b6ecae9290f0b4675e908718ebb1685e3a9a8ce7a3cd5c1bedcdd04","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b093d08f5b6ecae9290f0b4675e908718ebb1685e3a9a8ce7a3cd5c1bedcdd04","first_computed_at":"2026-07-05T09:59:07.373884Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:07.373884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"unBJ517ndKSd4o1vponFz3bEPe/fewahBLZsDOo7t1f+bRJB2qGBleyc/kjZuzAsC+4APqVIkOJ2bh+vptTyAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:07.374388Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.05269","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f3f630d9a40f8710a43a4a43d61255367d28005245e1047e373279d51f87311","sha256:8fdbe100cc690d4bd292c1862e3643c6df32789cfc704e710fb5fcc24934ac73"],"state_sha256":"6942a246504667060e8b2732f25aa72d8aa302354417c953af45bacaa464e100"}