{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:MNM6DYANCP4JSXUCK6FZVMW5JS","short_pith_number":"pith:MNM6DYAN","canonical_record":{"source":{"id":"1702.05803","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-19T21:59:43Z","cross_cats_sorted":[],"title_canon_sha256":"3af4169b06484f3d29ed7b269fd9d1e7e9d8e83bb2f9b9e69ee3aa67a97a1ce9","abstract_canon_sha256":"c0ae58d96e095b64954d09c371fb7c524b69e629b445ff425f9512277d520270"},"schema_version":"1.0"},"canonical_sha256":"6359e1e00d13f8995e82578b9ab2dd4cb1dc150cd38743e9acdc1931ae2bdc30","source":{"kind":"arxiv","id":"1702.05803","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.05803","created_at":"2026-05-18T00:50:25Z"},{"alias_kind":"arxiv_version","alias_value":"1702.05803v1","created_at":"2026-05-18T00:50:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.05803","created_at":"2026-05-18T00:50:25Z"},{"alias_kind":"pith_short_12","alias_value":"MNM6DYANCP4J","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MNM6DYANCP4JSXUC","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MNM6DYAN","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:MNM6DYANCP4JSXUCK6FZVMW5JS","target":"record","payload":{"canonical_record":{"source":{"id":"1702.05803","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-19T21:59:43Z","cross_cats_sorted":[],"title_canon_sha256":"3af4169b06484f3d29ed7b269fd9d1e7e9d8e83bb2f9b9e69ee3aa67a97a1ce9","abstract_canon_sha256":"c0ae58d96e095b64954d09c371fb7c524b69e629b445ff425f9512277d520270"},"schema_version":"1.0"},"canonical_sha256":"6359e1e00d13f8995e82578b9ab2dd4cb1dc150cd38743e9acdc1931ae2bdc30","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:50:25.311122Z","signature_b64":"T/Hqw1nhAAAry9IPLeGYDz/thyTv/clQsWeF+LAZtrzOEzTuRkBfgHtrqdLi4x9a/ZvzR22whCAW4SCpHYSUCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6359e1e00d13f8995e82578b9ab2dd4cb1dc150cd38743e9acdc1931ae2bdc30","last_reissued_at":"2026-05-18T00:50:25.310550Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:50:25.310550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.05803","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:50:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5aoG/IeVlsk1MU018Ar2YEqRuRdgCA4n39AdUT7z0tSZpa6D9d+loZGWSglgF1VT7/0ztN0jrFnr75PaGB84DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T12:26:50.813547Z"},"content_sha256":"915a86d9b88eee31b0b3c67b7a9395c081397abb1a00db0780416f0ce04e2d95","schema_version":"1.0","event_id":"sha256:915a86d9b88eee31b0b3c67b7a9395c081397abb1a00db0780416f0ce04e2d95"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:MNM6DYANCP4JSXUCK6FZVMW5JS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andrew H Beck, Babak Ehteshami Bejnordi, Ben Glass, Gretchen L Gierach, Jeroen van der Laak, Jimmy Linz, Maeve Mullooly, Mark E Sherman, Nico Karssemeijer","submitted_at":"2017-02-19T21:59:43Z","abstract_excerpt":"Diagnosis of breast carcinomas has so far been limited to the morphological interpretation of epithelial cells and the assessment of epithelial tissue architecture. Consequently, most of the automated systems have focused on characterizing the epithelial regions of the breast to detect cancer. In this paper, we propose a system for classification of hematoxylin and eosin (H&E) stained breast specimens based on convolutional neural networks that primarily targets the assessment of tumor-associated stroma to diagnose breast cancer patients. We evaluate the performance of our proposed system usin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.05803","kind":"arxiv","version":1},"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":"2026-05-18T00:50:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vb+VF0Lhd/VGA1P8Koby8PfHoSrkj5xRD5K6kePSNyEZ37baXEBE9qm72REK9EI+5DH7LrhP5OdcknnRcoO3Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T12:26:50.814205Z"},"content_sha256":"ea4d9de01448ce2b68afedc4a0beceb9285d43e36cfbfee72b837bc1d31e09ab","schema_version":"1.0","event_id":"sha256:ea4d9de01448ce2b68afedc4a0beceb9285d43e36cfbfee72b837bc1d31e09ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MNM6DYANCP4JSXUCK6FZVMW5JS/bundle.json","state_url":"https://pith.science/pith/MNM6DYANCP4JSXUCK6FZVMW5JS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MNM6DYANCP4JSXUCK6FZVMW5JS/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":"2026-05-22T12:26:50Z","links":{"resolver":"https://pith.science/pith/MNM6DYANCP4JSXUCK6FZVMW5JS","bundle":"https://pith.science/pith/MNM6DYANCP4JSXUCK6FZVMW5JS/bundle.json","state":"https://pith.science/pith/MNM6DYANCP4JSXUCK6FZVMW5JS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MNM6DYANCP4JSXUCK6FZVMW5JS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:MNM6DYANCP4JSXUCK6FZVMW5JS","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":"c0ae58d96e095b64954d09c371fb7c524b69e629b445ff425f9512277d520270","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-19T21:59:43Z","title_canon_sha256":"3af4169b06484f3d29ed7b269fd9d1e7e9d8e83bb2f9b9e69ee3aa67a97a1ce9"},"schema_version":"1.0","source":{"id":"1702.05803","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.05803","created_at":"2026-05-18T00:50:25Z"},{"alias_kind":"arxiv_version","alias_value":"1702.05803v1","created_at":"2026-05-18T00:50:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.05803","created_at":"2026-05-18T00:50:25Z"},{"alias_kind":"pith_short_12","alias_value":"MNM6DYANCP4J","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MNM6DYANCP4JSXUC","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MNM6DYAN","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:ea4d9de01448ce2b68afedc4a0beceb9285d43e36cfbfee72b837bc1d31e09ab","target":"graph","created_at":"2026-05-18T00:50:25Z","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":"Diagnosis of breast carcinomas has so far been limited to the morphological interpretation of epithelial cells and the assessment of epithelial tissue architecture. Consequently, most of the automated systems have focused on characterizing the epithelial regions of the breast to detect cancer. In this paper, we propose a system for classification of hematoxylin and eosin (H&E) stained breast specimens based on convolutional neural networks that primarily targets the assessment of tumor-associated stroma to diagnose breast cancer patients. We evaluate the performance of our proposed system usin","authors_text":"Andrew H Beck, Babak Ehteshami Bejnordi, Ben Glass, Gretchen L Gierach, Jeroen van der Laak, Jimmy Linz, Maeve Mullooly, Mark E Sherman, Nico Karssemeijer","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-19T21:59:43Z","title":"Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.05803","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":"sha256:915a86d9b88eee31b0b3c67b7a9395c081397abb1a00db0780416f0ce04e2d95","target":"record","created_at":"2026-05-18T00:50:25Z","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":"c0ae58d96e095b64954d09c371fb7c524b69e629b445ff425f9512277d520270","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-19T21:59:43Z","title_canon_sha256":"3af4169b06484f3d29ed7b269fd9d1e7e9d8e83bb2f9b9e69ee3aa67a97a1ce9"},"schema_version":"1.0","source":{"id":"1702.05803","kind":"arxiv","version":1}},"canonical_sha256":"6359e1e00d13f8995e82578b9ab2dd4cb1dc150cd38743e9acdc1931ae2bdc30","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6359e1e00d13f8995e82578b9ab2dd4cb1dc150cd38743e9acdc1931ae2bdc30","first_computed_at":"2026-05-18T00:50:25.310550Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:50:25.310550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T/Hqw1nhAAAry9IPLeGYDz/thyTv/clQsWeF+LAZtrzOEzTuRkBfgHtrqdLi4x9a/ZvzR22whCAW4SCpHYSUCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:50:25.311122Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.05803","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:915a86d9b88eee31b0b3c67b7a9395c081397abb1a00db0780416f0ce04e2d95","sha256:ea4d9de01448ce2b68afedc4a0beceb9285d43e36cfbfee72b837bc1d31e09ab"],"state_sha256":"3bf021632cbf949297fae0765aabe597ac1f47388954b95b304c19d787bf634b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rJ4t1EgKT2OO1pFXm1eC5bPWLtkvEHR6pJYWYag2S45GOw0/34of0cM3G3kVr7YVvjeGpd2r6P6nu7wK9C4EBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T12:26:50.817545Z","bundle_sha256":"00fa4b941d672f9b5a98b707210f8e178311b49c82cc0a8c4088038420f3d736"}}