{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:42YSIKR5OFZKVN5PS5CQZSGPA2","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":"18a21944684c588e15d076c69edd5ae8f59026a7faccd4e694c2e8102ff13e8c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-27T05:15:13Z","title_canon_sha256":"7c14fd3b7ab850a925e234d96fd0a8923a0db61fd317051277efc4f5944d219e"},"schema_version":"1.0","source":{"id":"2508.19574","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.19574","created_at":"2026-07-05T12:00:14Z"},{"alias_kind":"arxiv_version","alias_value":"2508.19574v1","created_at":"2026-07-05T12:00:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.19574","created_at":"2026-07-05T12:00:14Z"},{"alias_kind":"pith_short_12","alias_value":"42YSIKR5OFZK","created_at":"2026-07-05T12:00:14Z"},{"alias_kind":"pith_short_16","alias_value":"42YSIKR5OFZKVN5P","created_at":"2026-07-05T12:00:14Z"},{"alias_kind":"pith_short_8","alias_value":"42YSIKR5","created_at":"2026-07-05T12:00:14Z"}],"graph_snapshots":[{"event_id":"sha256:5a2d3b76f959d5cf95c23162a6e2a7d0c5b62d070933f07d062d9a4023884689","target":"graph","created_at":"2026-07-05T12:00:14Z","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/2508.19574/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pathological image segmentation faces numerous challenges, particularly due to ambiguous semantic boundaries and the high cost of pixel-level annotations. Although recent semi-supervised methods based on consistency regularization (e.g., UniMatch) have made notable progress, they mainly rely on perturbation-based consistency within the image modality, making it difficult to capture high-level semantic priors, especially in structurally complex pathology images. To address these limitations, we propose MPAMatch - a novel segmentation framework that performs pixel-level contrastive learning unde","authors_text":"Fanglei Fu, Huaitian Yuan, Lianghui Zhu, Mingxi Fu, Tian Guan, Xitong Ling, Yonghong He","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-27T05:15:13Z","title":"Multimodal Prototype Alignment for Semi-supervised Pathology Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.19574","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":"sha256:7af18b526049bb753057fe050ea296382a7219e5aadcdc1e24a95d49dc1ef2ba","target":"record","created_at":"2026-07-05T12:00:14Z","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":"18a21944684c588e15d076c69edd5ae8f59026a7faccd4e694c2e8102ff13e8c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-27T05:15:13Z","title_canon_sha256":"7c14fd3b7ab850a925e234d96fd0a8923a0db61fd317051277efc4f5944d219e"},"schema_version":"1.0","source":{"id":"2508.19574","kind":"arxiv","version":1}},"canonical_sha256":"e6b1242a3d7172aab7af97450cc8cf06ae556fc02e804702ee3443208bbae6c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6b1242a3d7172aab7af97450cc8cf06ae556fc02e804702ee3443208bbae6c2","first_computed_at":"2026-07-05T12:00:14.382696Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:14.382696Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e8XJIiOCkyy9tUnkd3O/je2FG5fLVj4iOFhm0aKPVj6eL8xMkk2UXyE7Qr6xpK1zk3mMVuw7xWM3V61OjQnODg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:14.383084Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.19574","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7af18b526049bb753057fe050ea296382a7219e5aadcdc1e24a95d49dc1ef2ba","sha256:5a2d3b76f959d5cf95c23162a6e2a7d0c5b62d070933f07d062d9a4023884689"],"state_sha256":"5c35a319af57437e1615b5279e7132caba0b5904ea7930362c5c8086719689ab"}