{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:DHGICZV4ACKO4UC6QETC2LATL5","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":"cbd7b0b46b89c435e5b01cbe61870d67993688bbff7c395fe2f6e3e7f920bb04","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-18T12:04:26Z","title_canon_sha256":"40d3475a6925411bc2aa3406b1f1d6f8f4d4b3fbf726f30756e554a5f826b601"},"schema_version":"1.0","source":{"id":"2205.08878","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.08878","created_at":"2026-07-05T04:24:30Z"},{"alias_kind":"arxiv_version","alias_value":"2205.08878v1","created_at":"2026-07-05T04:24:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.08878","created_at":"2026-07-05T04:24:30Z"},{"alias_kind":"pith_short_12","alias_value":"DHGICZV4ACKO","created_at":"2026-07-05T04:24:30Z"},{"alias_kind":"pith_short_16","alias_value":"DHGICZV4ACKO4UC6","created_at":"2026-07-05T04:24:30Z"},{"alias_kind":"pith_short_8","alias_value":"DHGICZV4","created_at":"2026-07-05T04:24:30Z"}],"graph_snapshots":[{"event_id":"sha256:2f114928924abe52d670bed1d6c20fc0096c5fe5fe43bbaa76a6928f19bf2902","target":"graph","created_at":"2026-07-05T04:24:30Z","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/2205.08878/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Hispathological image segmentation algorithms play a critical role in computer aided diagnosis technology. The development of weakly supervised segmentation algorithm alleviates the problem of medical image annotation that it is time-consuming and labor-intensive. As a subset of weakly supervised learning, Multiple Instance Learning (MIL) has been proven to be effective in segmentation. However, there is a lack of related information between instances in MIL, which limits the further improvement of segmentation performance. In this paper, we propose a novel weakly supervised method for pixel-l","authors_text":"Bingzheng Wei, Eric I-Chao Chang, Kailu Li, Maode Lai, Yan Xu, Yubo Fan, Ziniu Qian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-18T12:04:26Z","title":"Transformer based multiple instance learning for weakly supervised histopathology image segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.08878","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:a683726b61fe910f1d10f8126933f0c69c664f9b20bf56e4091ca26fb2fc9d0c","target":"record","created_at":"2026-07-05T04:24:30Z","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":"cbd7b0b46b89c435e5b01cbe61870d67993688bbff7c395fe2f6e3e7f920bb04","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-18T12:04:26Z","title_canon_sha256":"40d3475a6925411bc2aa3406b1f1d6f8f4d4b3fbf726f30756e554a5f826b601"},"schema_version":"1.0","source":{"id":"2205.08878","kind":"arxiv","version":1}},"canonical_sha256":"19cc8166bc0094ee505e81262d2c135f6c6beffedf31a1de2c586887308048fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19cc8166bc0094ee505e81262d2c135f6c6beffedf31a1de2c586887308048fe","first_computed_at":"2026-07-05T04:24:30.619013Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:24:30.619013Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Nui6jLPtDTRe8NYQ3X76f8fqmD3LgDU0YcOBGABlsfS4BWib7XL0gizUV/SIlm99K1m62TsyQ89jMSZHlGoWCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:24:30.619407Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.08878","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a683726b61fe910f1d10f8126933f0c69c664f9b20bf56e4091ca26fb2fc9d0c","sha256:2f114928924abe52d670bed1d6c20fc0096c5fe5fe43bbaa76a6928f19bf2902"],"state_sha256":"90277481aec649f33f99dff6fc173c716e7eb750d72a9f7879bc664e5ba4c5c9"}