{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:BYXVFQ2UYP3VYT6VWQS3552SIV","short_pith_number":"pith:BYXVFQ2U","canonical_record":{"source":{"id":"1810.13230","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-31T12:03:27Z","cross_cats_sorted":[],"title_canon_sha256":"9385d0adeb59289ee567b1c8a1b5e9afb62b28895290b5edbc1b450b40e371ec","abstract_canon_sha256":"fda787c57cc55acb0ee8b88fc926837893008976248d237894ce9e687509932f"},"schema_version":"1.0"},"canonical_sha256":"0e2f52c354c3f75c4fd5b425bef752454e53976de73b7bf1fae65efdd1319cda","source":{"kind":"arxiv","id":"1810.13230","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.13230","created_at":"2026-05-18T00:00:33Z"},{"alias_kind":"arxiv_version","alias_value":"1810.13230v2","created_at":"2026-05-18T00:00:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.13230","created_at":"2026-05-18T00:00:33Z"},{"alias_kind":"pith_short_12","alias_value":"BYXVFQ2UYP3V","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BYXVFQ2UYP3VYT6V","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BYXVFQ2U","created_at":"2026-05-18T12:32:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:BYXVFQ2UYP3VYT6VWQS3552SIV","target":"record","payload":{"canonical_record":{"source":{"id":"1810.13230","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-31T12:03:27Z","cross_cats_sorted":[],"title_canon_sha256":"9385d0adeb59289ee567b1c8a1b5e9afb62b28895290b5edbc1b450b40e371ec","abstract_canon_sha256":"fda787c57cc55acb0ee8b88fc926837893008976248d237894ce9e687509932f"},"schema_version":"1.0"},"canonical_sha256":"0e2f52c354c3f75c4fd5b425bef752454e53976de73b7bf1fae65efdd1319cda","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:33.251310Z","signature_b64":"6ZEkOoq6B/gpwDfEB2+9I9+4fikHnHhQ42QkRIEWQmy7mZ0KaMQKSr/2/Niyn5bQhtTSZAdN5WhXjVqE08IOBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0e2f52c354c3f75c4fd5b425bef752454e53976de73b7bf1fae65efdd1319cda","last_reissued_at":"2026-05-18T00:00:33.250823Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:33.250823Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.13230","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:00:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ICTkk75F0zpXiyohl8DaQSwuq29xUzbuCBnAX8EL8GbMUX2lZ81M5euh9KtlzGqlDQmWFrkP70BlnK5JhTl4BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T12:44:40.557854Z"},"content_sha256":"51128129ca0fb4d949117707cb9a601d1a7b647a42532f6f63186fd366014871","schema_version":"1.0","event_id":"sha256:51128129ca0fb4d949117707cb9a601d1a7b647a42532f6f63186fd366014871"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:BYXVFQ2UYP3VYT6VWQS3552SIV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Methods for Segmentation and Classification of Digital Microscopy Tissue Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jin Tae Kwak, Joel Saltz, Keyvan Farahani, Minh Nguyen Nhat To, Muhammad Shaban, Nasir Rajpoot, Navid Alemi Koohbanani, Quoc Dang Vu, Rajarsi Gupta, Simon Graham, Syed Ali Khurram, Tahsin Kurc, Talha Qaiser, Tianhao Zhao","submitted_at":"2018-10-31T12:03:27Z","abstract_excerpt":"High-resolution microscopy images of tissue specimens provide detailed information about the morphology of normal and diseased tissue. Image analysis of tissue morphology can help cancer researchers develop a better understanding of cancer biology. Segmentation of nuclei and classification of tissue images are two common tasks in tissue image analysis. Development of accurate and efficient algorithms for these tasks is a challenging problem because of the complexity of tissue morphology and tumor heterogeneity. In this paper we present two computer algorithms; one designed for segmentation of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.13230","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:00:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wr/5Dn3//N9rvZ/E98YhQ0lWq1JO0YobFKUYnQk1346BZtu8hagtExLZLcx9ALrEBXigdpqhh/mzeofoPmFxBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T12:44:40.558419Z"},"content_sha256":"823fc6a958c8e03df863ddb474f18a3b19665c01faf56ec7db31df2d5f12fb07","schema_version":"1.0","event_id":"sha256:823fc6a958c8e03df863ddb474f18a3b19665c01faf56ec7db31df2d5f12fb07"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BYXVFQ2UYP3VYT6VWQS3552SIV/bundle.json","state_url":"https://pith.science/pith/BYXVFQ2UYP3VYT6VWQS3552SIV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BYXVFQ2UYP3VYT6VWQS3552SIV/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-02T12:44:40Z","links":{"resolver":"https://pith.science/pith/BYXVFQ2UYP3VYT6VWQS3552SIV","bundle":"https://pith.science/pith/BYXVFQ2UYP3VYT6VWQS3552SIV/bundle.json","state":"https://pith.science/pith/BYXVFQ2UYP3VYT6VWQS3552SIV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BYXVFQ2UYP3VYT6VWQS3552SIV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:BYXVFQ2UYP3VYT6VWQS3552SIV","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":"fda787c57cc55acb0ee8b88fc926837893008976248d237894ce9e687509932f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-31T12:03:27Z","title_canon_sha256":"9385d0adeb59289ee567b1c8a1b5e9afb62b28895290b5edbc1b450b40e371ec"},"schema_version":"1.0","source":{"id":"1810.13230","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.13230","created_at":"2026-05-18T00:00:33Z"},{"alias_kind":"arxiv_version","alias_value":"1810.13230v2","created_at":"2026-05-18T00:00:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.13230","created_at":"2026-05-18T00:00:33Z"},{"alias_kind":"pith_short_12","alias_value":"BYXVFQ2UYP3V","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BYXVFQ2UYP3VYT6V","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BYXVFQ2U","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:823fc6a958c8e03df863ddb474f18a3b19665c01faf56ec7db31df2d5f12fb07","target":"graph","created_at":"2026-05-18T00:00:33Z","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"},"paper":{"abstract_excerpt":"High-resolution microscopy images of tissue specimens provide detailed information about the morphology of normal and diseased tissue. Image analysis of tissue morphology can help cancer researchers develop a better understanding of cancer biology. Segmentation of nuclei and classification of tissue images are two common tasks in tissue image analysis. Development of accurate and efficient algorithms for these tasks is a challenging problem because of the complexity of tissue morphology and tumor heterogeneity. In this paper we present two computer algorithms; one designed for segmentation of ","authors_text":"Jin Tae Kwak, Joel Saltz, Keyvan Farahani, Minh Nguyen Nhat To, Muhammad Shaban, Nasir Rajpoot, Navid Alemi Koohbanani, Quoc Dang Vu, Rajarsi Gupta, Simon Graham, Syed Ali Khurram, Tahsin Kurc, Talha Qaiser, Tianhao Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-31T12:03:27Z","title":"Methods for Segmentation and Classification of Digital Microscopy Tissue Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.13230","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":"sha256:51128129ca0fb4d949117707cb9a601d1a7b647a42532f6f63186fd366014871","target":"record","created_at":"2026-05-18T00:00:33Z","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":"fda787c57cc55acb0ee8b88fc926837893008976248d237894ce9e687509932f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-31T12:03:27Z","title_canon_sha256":"9385d0adeb59289ee567b1c8a1b5e9afb62b28895290b5edbc1b450b40e371ec"},"schema_version":"1.0","source":{"id":"1810.13230","kind":"arxiv","version":2}},"canonical_sha256":"0e2f52c354c3f75c4fd5b425bef752454e53976de73b7bf1fae65efdd1319cda","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e2f52c354c3f75c4fd5b425bef752454e53976de73b7bf1fae65efdd1319cda","first_computed_at":"2026-05-18T00:00:33.250823Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:33.250823Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6ZEkOoq6B/gpwDfEB2+9I9+4fikHnHhQ42QkRIEWQmy7mZ0KaMQKSr/2/Niyn5bQhtTSZAdN5WhXjVqE08IOBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:33.251310Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.13230","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:51128129ca0fb4d949117707cb9a601d1a7b647a42532f6f63186fd366014871","sha256:823fc6a958c8e03df863ddb474f18a3b19665c01faf56ec7db31df2d5f12fb07"],"state_sha256":"0611a4ff40c9ce0599fbd5eb00bad2680f6bb7886b35ae8b474e1c818b84fcd7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+D7V9WXxVvM7FUWWHCnGoJqrS2Oqh3toIxVcPCokAbzGr4+RrFsboqfOm3ZP3tHEQ+andmpMKZSWZT6KHUOaAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T12:44:40.561001Z","bundle_sha256":"1ad5d12841bb7428f52b25073e43b368fd4721ed78a7251ae24b29c372adb16c"}}