{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UHIZT26G245E6HFWL2JJHA73AY","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":"922e1868e3a3f762da6e0e952597f7b3deb0e1c56e7ad59668d3d8541a892d88","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-04T09:49:24Z","title_canon_sha256":"15247fc72be43db0c8efb285a1c27da9ecac166d6976b770c541d84d88c288b9"},"schema_version":"1.0","source":{"id":"2309.01487","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.01487","created_at":"2026-07-05T09:05:31Z"},{"alias_kind":"arxiv_version","alias_value":"2309.01487v2","created_at":"2026-07-05T09:05:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.01487","created_at":"2026-07-05T09:05:31Z"},{"alias_kind":"pith_short_12","alias_value":"UHIZT26G245E","created_at":"2026-07-05T09:05:31Z"},{"alias_kind":"pith_short_16","alias_value":"UHIZT26G245E6HFW","created_at":"2026-07-05T09:05:31Z"},{"alias_kind":"pith_short_8","alias_value":"UHIZT26G","created_at":"2026-07-05T09:05:31Z"}],"graph_snapshots":[{"event_id":"sha256:927417d60991a3fc400363d4b8141b4df9dcf037827d5fc0726ac2311bf7def5","target":"graph","created_at":"2026-07-05T09:05:31Z","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/2309.01487/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Histopathological image segmentation is a laborious and time-intensive task, often requiring analysis from experienced pathologists for accurate examinations. To reduce this burden, supervised machine-learning approaches have been adopted using large-scale annotated datasets for histopathological image analysis. However, in several scenarios, the availability of large-scale annotated data is a bottleneck while training such models. Self-supervised learning (SSL) is an alternative paradigm that provides some respite by constructing models utilizing only the unannotated data which is often abund","authors_text":"Aanchal Kakkar, Prathosh A.P, Seshan Srirangarajan, Suhas Srinath, Vishnuvardhan Purma","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-04T09:49:24Z","title":"GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.01487","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":"sha256:33ee20e599eb1a84e203208243dc97539f6a5ffae3dcf267df72b0ccaf36d143","target":"record","created_at":"2026-07-05T09:05:31Z","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":"922e1868e3a3f762da6e0e952597f7b3deb0e1c56e7ad59668d3d8541a892d88","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-04T09:49:24Z","title_canon_sha256":"15247fc72be43db0c8efb285a1c27da9ecac166d6976b770c541d84d88c288b9"},"schema_version":"1.0","source":{"id":"2309.01487","kind":"arxiv","version":2}},"canonical_sha256":"a1d199ebc6d73a4f1cb65e929383fb061342d74b7307cb2ba9496ba38dc75b61","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1d199ebc6d73a4f1cb65e929383fb061342d74b7307cb2ba9496ba38dc75b61","first_computed_at":"2026-07-05T09:05:31.413766Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:05:31.413766Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O7nzMIh5Jh8l7Zxzm2R+m4/y3nLBsR+USuGcuy1cNxudrVwTRkljRU3SFvexefPZU+SAhTfKO6A9UEnS+XPrCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:05:31.414171Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.01487","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:33ee20e599eb1a84e203208243dc97539f6a5ffae3dcf267df72b0ccaf36d143","sha256:927417d60991a3fc400363d4b8141b4df9dcf037827d5fc0726ac2311bf7def5"],"state_sha256":"367fea1c8d52905f80f74e0916c97e04e6b6a2d12c041d7767082fe13eb95163"}