{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WC244IIBNXGEX2WEHBPKHQJKUH","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":"66d7a3a68eee6d2aac8bec2c105b338a52fd492926738e1c5ae2ed2f8b8006a4","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2023-11-14T16:02:18Z","title_canon_sha256":"0e93792ab46b526b886cbfe67491aece87efc71f6733d1f7d44bd987808d07dc"},"schema_version":"1.0","source":{"id":"2311.08269","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.08269","created_at":"2026-07-05T07:55:45Z"},{"alias_kind":"arxiv_version","alias_value":"2311.08269v2","created_at":"2026-07-05T07:55:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.08269","created_at":"2026-07-05T07:55:45Z"},{"alias_kind":"pith_short_12","alias_value":"WC244IIBNXGE","created_at":"2026-07-05T07:55:45Z"},{"alias_kind":"pith_short_16","alias_value":"WC244IIBNXGEX2WE","created_at":"2026-07-05T07:55:45Z"},{"alias_kind":"pith_short_8","alias_value":"WC244IIB","created_at":"2026-07-05T07:55:45Z"}],"graph_snapshots":[{"event_id":"sha256:65fb1a7f98e8daf87bcf886933358c8e82db433a486c9cff54fe46264df75bb4","target":"graph","created_at":"2026-07-05T07:55:45Z","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/2311.08269/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Segmentation, or the outlining of objects within images, is a critical step in the measurement and analysis of cells within microscopy images. While improvements continue to be made in tools that rely on classical methods for segmentation, deep learning-based tools increasingly dominate advances in the technology. Specialist models such as Cellpose continue to improve in accuracy and user-friendliness, and segmentation challenges such as the Multi-Modality Cell Segmentation Challenge continue to push innovation in accuracy across widely-varying test data as well as efficiency and usability. In","authors_text":"Beth A. Cimini, Nodar Gogoberidze","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2023-11-14T16:02:18Z","title":"Defining the boundaries: challenges and advances in identifying cells in microscopy images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.08269","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":"sha256:38470ddf1c2d99e9cc7611b676bccfbe1742b1319cdb38db83aaf82bb16b4c5d","target":"record","created_at":"2026-07-05T07:55:45Z","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":"66d7a3a68eee6d2aac8bec2c105b338a52fd492926738e1c5ae2ed2f8b8006a4","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2023-11-14T16:02:18Z","title_canon_sha256":"0e93792ab46b526b886cbfe67491aece87efc71f6733d1f7d44bd987808d07dc"},"schema_version":"1.0","source":{"id":"2311.08269","kind":"arxiv","version":2}},"canonical_sha256":"b0b5ce21016dcc4beac4385ea3c12aa1d1b6c787f01d3c7e1a2a85bcb28283c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0b5ce21016dcc4beac4385ea3c12aa1d1b6c787f01d3c7e1a2a85bcb28283c1","first_computed_at":"2026-07-05T07:55:45.762793Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:55:45.762793Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QtJk7BKGIDz3gQTA0LK4xLkTtF24VYdiim2PxO9BbfSQPeNIqY0qz5crT3Pi5xqD6HvzqHS4QDzJK+CQdRzoAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:55:45.763239Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.08269","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:38470ddf1c2d99e9cc7611b676bccfbe1742b1319cdb38db83aaf82bb16b4c5d","sha256:65fb1a7f98e8daf87bcf886933358c8e82db433a486c9cff54fe46264df75bb4"],"state_sha256":"e5861b82cfb24ab98a0276bc45cd0268ec3d2d6cd10f301ecdd0c1e8fcc998af"}